全球作物产量预测机器学习市场

到 2030 年，全球作物产量预测机器学习市场规模预计将达到 24 亿美元

全球作物产量预测机器学习市场规模预计在2024年达到7.13亿美元，预计到2030年将达到24亿美元，2024年至2030年的复合年增长率为22.7%。软体组件是本报告分析的细分市场之一，预计其复合年增长率为20.7%，到分析期结束时规模将达到15亿美元。服务组件细分市场在分析期间内的复合年增长率预计为26.5%。

美国市场规模估计为 1.943 亿美元，中国市场预计复合年增长率为 30.0%

美国作物产量预测机器学习市场规模预计在2024年达到1.943亿美元。作为世界第二大经济体，中国市场规模预计在2030年达到5.769亿美元，在分析期间（2024-2030年）的复合年增长率为30.0%。其他值得关注的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为18.5%和20.2%。在欧洲，预计德国的复合年增长率约为19.0%。

全球作物产量预测机器学习市场—主要趋势和驱动因素摘要

为什么机器学习对于作物产量预测变得越来越重要？

农业部门越来越多地利用机器学习 (ML) 来提高作物产量预测的效率和准确性。随着全球人口的成长以及对粮食安全的担忧，优化农业生产力已成为当务之急。传统的产量预测方法依赖历史数据和人工观察，这些方法通常不准确且耗时。机器学习演算法与卫星影像、土壤数据、天气模式和即时感测器输入相结合，正在彻底改变农民和相关企业预测作物产量的方式。这种预测能力有助于更好地制定种植週期、资源配置和供应链规划的决策，最终提高盈利并减少浪费。

技术进步如何改善作物产量预测？

人工智慧 (AI) 和巨量资料分析的最新进展正在提高作物产量预测模型的准确性和效率。机器学习演算法可以处理大量数据，例如温度波动、土壤湿度、虫害和灌溉模式，从而提供高度准确的产量预测。此外，遥感探测技术和配备频谱摄影机的无人机现在正与机器学习模型相结合，以监测植物健康状况、及早发现病害并评估营养缺陷。云端处理和物联网感测器进一步实现了即时数据收集和预测分析，使农民能够采取主动的预防性决策，从而最大限度地提高产量。

主要的市场驱动因素有哪些？

精密农业的日益普及、对农业技术新兴企业的投资不断增加以及政府推动智慧农业解决方案的倡议，是推动市场成长的主要因素。此外，气候变迁导致天气模式越来越难以预测，这也推动了对能够降低风险并提高农业永续性的先进预测模型的需求。此外，机器学习与区块链技术的整合正在提高农业供应链的透明度和可追溯性，从而增强消费者和相关人员的信任。

存在哪些挑战和未来机会？

挑战包括部署机器学习系统的高成本、农民对技术专业知识的需求，以及不同农业区域资料收集方法缺乏标准化。然而，机会在于开发易于使用的人工智慧平台，简化农民的数据解读。扩大机器学习在小规模农业中的应用，改善价格实惠的精密农业工具，以及相关企业与科技公司之间的合作，可能会进一步推动该市场的成长。

部分

元件（软体元件、服务元件）；部署（云端基础部署、在地部署）；农场规模（小型农场、中型农场、大型农场）；最终用户（农民最终用户、农业合作社最终用户、研究机构最终用户、政府机构最终用户、其他最终用户）

受访公司范例

• Aerobotics Ltd.
• AgriWebb Pty Ltd.
• BASF SE
• Bayer AG
• Ceres Imaging Inc.
• Cropin Technology Solutions Pvt. Ltd.
• CropX Inc.
• FarmWise Labs Inc.
• Fasal
• International Business Machines Corp.（IBM）
• IUNU Inc.
• Keymakr Inc.
• Microsoft Corporation
• Ninjacart
• PrecisionHawk
• Raven Industries Inc.
• Sentera Inc.
• Taranis
• Terramera Inc.
• Trace Genomics Inc.

人工智慧集成

全球产业分析师正在利用可操作的专家内容和人工智慧工具改变市场和竞争情报。

Global Industry Analysts 并未遵循典型的 LLM 或特定产业的 SLM查询，而是建立了一个从全球专家收集的内容库，其中包括影片录影、部落格、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

全球产业分析师根据公司总部所在国家、製造地、进出口状况（成品和原始OEM）预测其竞争态势的变化。这种复杂且多面向的市场动态预计将以多种方式影响竞争对手，包括销货成本成本 (COGS) 上升、盈利下降、供应链重组以及其他微观和宏观市场动态。

目录

第一章调查方法

第二章执行摘要

• 市场概览
• 主要企业
• 市场趋势和驱动因素
• 全球市场展望

第三章市场分析

• 美国
• 加拿大
• 日本
• 中国
• 欧洲
• 法国
• 德国
• 义大利
• 英国
• 西班牙
• 俄罗斯
• 其他欧洲国家
• 亚太地区
• 澳洲
• 印度
• 韩国
• 其他亚太地区
• 拉丁美洲
• 阿根廷
• 巴西
• 墨西哥
• 其他拉丁美洲
• 中东
• 伊朗
• 以色列
• 沙乌地阿拉伯
• 阿拉伯聯合大公国
• 其他中东地区
• 非洲

第四章 竞赛

Global Machine Learning for Crop Yield Prediction Market to Reach US$2.4 Billion by 2030

The global market for Machine Learning for Crop Yield Prediction estimated at US$713.0 Million in the year 2024, is expected to reach US$2.4 Billion by 2030, growing at a CAGR of 22.7% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 20.7% CAGR and reach US$1.5 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 26.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$194.3 Million While China is Forecast to Grow at 30.0% CAGR

The Machine Learning for Crop Yield Prediction market in the U.S. is estimated at US$194.3 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$576.9 Million by the year 2030 trailing a CAGR of 30.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 18.5% and 20.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 19.0% CAGR.

Global Machine Learning for Crop Yield Prediction Market - Key Trends & Drivers Summarized

Why Is Machine Learning for Crop Yield Prediction Gaining Importance?

The agricultural sector is increasingly leveraging machine learning (ML) to enhance efficiency and accuracy in predicting crop yields. With the growing global population and food security concerns, optimizing agricultural productivity has become a top priority. Traditional yield estimation methods rely on historical data and manual observations, which are often inaccurate and time-consuming. Machine learning algorithms, combined with satellite imagery, soil data, climate patterns, and real-time sensor inputs, are revolutionizing how farmers and agribusinesses forecast crop output. This predictive capability allows for better decision-making regarding planting cycles, resource allocation, and supply chain planning, ultimately improving profitability and reducing waste.

How Are Innovations Enhancing the Performance of Crop Yield Prediction?

Recent advancements in artificial intelligence (AI) and big data analytics are enhancing the accuracy and efficiency of crop yield prediction models. Machine learning algorithms can process vast amounts of data, including temperature fluctuations, soil moisture levels, pest infestations, and irrigation patterns, to provide highly accurate yield forecasts. Additionally, remote sensing technology and drones equipped with multispectral cameras are being integrated with ML models to monitor plant health, detect diseases early, and assess nutrient deficiencies. Cloud computing and IoT-enabled sensors further enable real-time data collection and predictive analytics, allowing farmers to make proactive decisions to maximize yields.

What Are the Key Market Drivers?

The increasing adoption of precision agriculture, growing investments in agritech startups, and government initiatives promoting smart farming solutions are key drivers fueling market growth. The rising unpredictability of weather patterns due to climate change has also increased the need for advanced predictive models that can mitigate risks and enhance agricultural sustainability. Moreover, the integration of machine learning with blockchain technology is improving transparency and traceability in the agricultural supply chain, fostering trust among consumers and stakeholders.

What Challenges and Future Opportunities Exist?

Challenges include the high cost of implementing machine learning systems, the need for technical expertise among farmers, and the lack of standardized data collection methods across different agricultural regions. However, opportunities lie in the development of user-friendly AI-powered platforms that simplify data interpretation for farmers. The expansion of ML applications in small-scale farming, improvements in affordable precision agriculture tools, and collaborations between agribusiness firms and tech companies will further drive the growth of this market.

SCOPE OF STUDY:

The report analyzes the Machine Learning for Crop Yield Prediction market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Services Component); Deployment (Cloud-based Deployment, On-Premise Deployment); Farm Size (Small Farm, Medium Farm, Large Farm); End-User (Farmers End-User, Agricultural Cooperatives End-User, Research Institutions End-User, Government Agencies End-User, Other End-Users)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 36 Featured) -

• Aerobotics Ltd.
• AgriWebb Pty Ltd.
• BASF SE
• Bayer AG
• Ceres Imaging Inc.
• Cropin Technology Solutions Pvt. Ltd.
• CropX Inc.
• FarmWise Labs Inc.
• Fasal
• International Business Machines Corp. (IBM)
• IUNU Inc.
• Keymakr Inc.
• Microsoft Corporation
• Ninjacart
• PrecisionHawk
• Raven Industries Inc.
• Sentera Inc.
• Taranis
• Terramera Inc.
• Trace Genomics Inc.

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

• 1. MARKET OVERVIEW
  • Influencer Market Insights
  • Tariff Impact on Global Supply Chain Patterns
  • Machine Learning for Crop Yield Prediction - Global Key Competitors Percentage Market Share in 2025 (E)
  • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
• 2. FOCUS ON SELECT PLAYERS
• 3. MARKET TRENDS & DRIVERS
  • Increasing Global Food Security Challenges Throw the Spotlight on Predictive Agricultural Technologies
  • Rising Demand for Precision Agriculture Accelerates Adoption of Machine Learning-Based Yield Forecasting
  • Integration of Satellite Imagery and Remote Sensing Data Strengthens Model Accuracy in Crop Yield Prediction
  • Proliferation of AgriTech Startups and Platforms Propels Innovation in Predictive Farming Tools
  • Climate Change and Weather Volatility Drive Need for Adaptive and Real-Time Crop Monitoring Systems
  • Expansion of Smart Farming Equipment with Sensor Integration Enhances Data Quality for ML Applications
  • Government Initiatives Promoting Digital Farming Boost Adoption of Data-Driven Yield Optimization Solutions
  • Growing Use of IoT Devices in Agriculture Provides Rich Data Streams for ML-Driven Analytics
  • Rising Adoption of Predictive Models by Crop Insurance Providers Improves Risk Assessment and Planning
  • Improved Internet Penetration and Mobile Access in Rural Areas Expands Use of ML Tools by Smallholder Farmers
  • Cloud-Based Agricultural Platforms Facilitate Scalable Deployment of ML Algorithms Across Large Farms
  • Advancements in NLP and Image Recognition Enable Crop Health Detection and Yield Estimation at Scale
  • Data-Driven Decision Support Systems Increase Farmer ROI and Operational Efficiency
• 4. GLOBAL MARKET PERSPECTIVE
  • TABLE 1: World Machine Learning for Crop Yield Prediction Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
  • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 3: World Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 4: World 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets for Years 2015, 2025 & 2030
  • TABLE 5: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 6: World Historic Review for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 7: World 15-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 9: World Historic Review for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 10: World 15-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 11: World Recent Past, Current & Future Analysis for Research Institutions End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 12: World Historic Review for Research Institutions End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 13: World 15-Year Perspective for Research Institutions End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 14: World Recent Past, Current & Future Analysis for Government Agencies End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 15: World Historic Review for Government Agencies End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 16: World 15-Year Perspective for Government Agencies End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 17: World Recent Past, Current & Future Analysis for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 18: World Historic Review for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 19: World 15-Year Perspective for Other End-Users by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 20: World Recent Past, Current & Future Analysis for Farmers End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 21: World Historic Review for Farmers End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 22: World 15-Year Perspective for Farmers End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 23: World Recent Past, Current & Future Analysis for Agricultural Cooperatives End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 24: World Historic Review for Agricultural Cooperatives End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 25: World 15-Year Perspective for Agricultural Cooperatives End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 26: World Recent Past, Current & Future Analysis for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 27: World Historic Review for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 28: World 15-Year Perspective for Cloud-based Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 29: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 30: World Historic Review for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 31: World 15-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 32: World Recent Past, Current & Future Analysis for Small Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 33: World Historic Review for Small Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 34: World 15-Year Perspective for Small Farm by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 35: World Recent Past, Current & Future Analysis for Medium Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 36: World Historic Review for Medium Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 37: World 15-Year Perspective for Medium Farm by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030
  • TABLE 38: World Recent Past, Current & Future Analysis for Large Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 39: World Historic Review for Large Farm by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 40: World 15-Year Perspective for Large Farm by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America, Middle East and Africa for Years 2015, 2025 & 2030

III. MARKET ANALYSIS

• UNITED STATES
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
  • TABLE 41: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 42: USA Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 43: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 44: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 45: USA Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 46: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 47: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 48: USA Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 49: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 50: USA Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 51: USA Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 52: USA 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• CANADA
  • TABLE 53: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 54: Canada Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 55: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 56: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 57: Canada Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 58: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 59: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 60: Canada Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 61: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 62: Canada Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 63: Canada Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 64: Canada 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• JAPAN
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
  • TABLE 65: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 66: Japan Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 67: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 68: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 69: Japan Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 70: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 71: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 72: Japan Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 73: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 74: Japan Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 75: Japan Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 76: Japan 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• CHINA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
  • TABLE 77: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 78: China Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 79: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 80: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 81: China Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 82: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 83: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 84: China Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 85: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 86: China Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 87: China Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 88: China 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• EUROPE
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
  • TABLE 89: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 90: Europe Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 91: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK, Spain, Russia and Rest of Europe Markets for Years 2015, 2025 & 2030
  • TABLE 92: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 93: Europe Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 94: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 95: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 96: Europe Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 97: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 98: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 99: Europe Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 100: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 101: Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 102: Europe Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 103: Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• FRANCE
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
  • TABLE 104: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 105: France Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 106: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 107: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 108: France Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 109: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 110: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 111: France Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 112: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 113: France Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 114: France Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 115: France 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• GERMANY
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
  • TABLE 116: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 117: Germany Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 118: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 119: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 120: Germany Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 121: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 122: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 123: Germany Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 124: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 125: Germany Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 126: Germany Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 127: Germany 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ITALY
  • TABLE 128: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 129: Italy Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 130: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 131: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 132: Italy Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 133: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 134: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 135: Italy Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 136: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 137: Italy Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 138: Italy Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 139: Italy 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• UNITED KINGDOM
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
  • TABLE 140: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 141: UK Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 142: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 143: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 144: UK Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 145: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 146: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 147: UK Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 148: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 149: UK Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 150: UK Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 151: UK 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• SPAIN
  • TABLE 152: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 153: Spain Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 154: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 155: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 156: Spain Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 157: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 158: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 159: Spain Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 160: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 161: Spain Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 162: Spain Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 163: Spain 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• RUSSIA
  • TABLE 164: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 165: Russia Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 166: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 167: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 168: Russia Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 169: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 170: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 171: Russia Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 172: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 173: Russia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 174: Russia Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 175: Russia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF EUROPE
  • TABLE 176: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 177: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 178: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 179: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 180: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 181: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 182: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 183: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 184: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 185: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 186: Rest of Europe Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 187: Rest of Europe 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ASIA-PACIFIC
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
  • TABLE 188: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 189: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - Australia, India, South Korea and Rest of Asia-Pacific Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 190: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for Australia, India, South Korea and Rest of Asia-Pacific Markets for Years 2015, 2025 & 2030
  • TABLE 191: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 192: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 193: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 194: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 195: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 196: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 197: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 198: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 199: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 200: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 201: Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 202: Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• AUSTRALIA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Australia for 2025 (E)
  • TABLE 203: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 204: Australia Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 205: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 206: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 207: Australia Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 208: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 209: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 210: Australia Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 211: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 212: Australia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 213: Australia Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 214: Australia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• INDIA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in India for 2025 (E)
  • TABLE 215: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 216: India Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 217: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 218: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 219: India Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 220: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 221: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 222: India Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 223: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 224: India Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 225: India Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 226: India 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• SOUTH KOREA
  • TABLE 227: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 228: South Korea Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 229: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 230: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 231: South Korea Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 232: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 233: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 234: South Korea Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 235: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 236: South Korea Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 237: South Korea Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 238: South Korea 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF ASIA-PACIFIC
  • TABLE 239: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 240: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 241: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 242: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 243: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 244: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 245: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 246: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 247: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 248: Rest of Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 249: Rest of Asia-Pacific Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 250: Rest of Asia-Pacific 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• LATIN AMERICA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Latin America for 2025 (E)
  • TABLE 251: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 252: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - Argentina, Brazil, Mexico and Rest of Latin America Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 253: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for Argentina, Brazil, Mexico and Rest of Latin America Markets for Years 2015, 2025 & 2030
  • TABLE 254: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 255: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 256: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 257: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 258: Latin America Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 259: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 260: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 261: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 262: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 263: Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 264: Latin America Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 265: Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ARGENTINA
  • TABLE 266: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 267: Argentina Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 268: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 269: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 270: Argentina Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 271: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 272: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 273: Argentina Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 274: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 275: Argentina Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 276: Argentina Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 277: Argentina 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• BRAZIL
  • TABLE 278: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 279: Brazil Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 280: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 281: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 282: Brazil Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 283: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 284: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 285: Brazil Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 286: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 287: Brazil Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 288: Brazil Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 289: Brazil 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• MEXICO
  • TABLE 290: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 291: Mexico Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 292: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 293: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 294: Mexico Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 295: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 296: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 297: Mexico Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 298: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 299: Mexico Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 300: Mexico Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 301: Mexico 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF LATIN AMERICA
  • TABLE 302: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 303: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 304: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 305: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 306: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 307: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 308: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 309: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 310: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 311: Rest of Latin America Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 312: Rest of Latin America Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 313: Rest of Latin America 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• MIDDLE EAST
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Middle East for 2025 (E)
  • TABLE 314: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 315: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Geographic Region - Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 316: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Geographic Region - Percentage Breakdown of Value Sales for Iran, Israel, Saudi Arabia, UAE and Rest of Middle East Markets for Years 2015, 2025 & 2030
  • TABLE 317: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 318: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 319: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 320: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 321: Middle East Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 322: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 323: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 324: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 325: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 326: Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 327: Middle East Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 328: Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• IRAN
  • TABLE 329: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 330: Iran Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 331: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 332: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 333: Iran Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 334: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 335: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 336: Iran Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 337: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 338: Iran Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 339: Iran Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 340: Iran 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• ISRAEL
  • TABLE 341: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 342: Israel Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 343: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 344: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 345: Israel Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 346: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 347: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 348: Israel Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 349: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 350: Israel Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 351: Israel Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 352: Israel 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• SAUDI ARABIA
  • TABLE 353: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 354: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 355: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 356: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 357: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 358: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 359: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 360: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 361: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 362: Saudi Arabia Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 363: Saudi Arabia Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 364: Saudi Arabia 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• UNITED ARAB EMIRATES
  • TABLE 365: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 366: UAE Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 367: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 368: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 369: UAE Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 370: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 371: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 372: UAE Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 373: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 374: UAE Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 375: UAE Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 376: UAE 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• REST OF MIDDLE EAST
  • TABLE 377: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 378: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 379: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 380: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 381: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 382: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 383: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 384: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 385: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 386: Rest of Middle East Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 387: Rest of Middle East Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 388: Rest of Middle East 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030
• AFRICA
  • Machine Learning for Crop Yield Prediction Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Africa for 2025 (E)
  • TABLE 389: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 390: Africa Historic Review for Machine Learning for Crop Yield Prediction by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 391: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 392: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 393: Africa Historic Review for Machine Learning for Crop Yield Prediction by End-user - Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 394: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by End-user - Percentage Breakdown of Value Sales for Research Institutions End-User, Government Agencies End-User, Other End-Users, Farmers End-User and Agricultural Cooperatives End-User for the Years 2015, 2025 & 2030
  • TABLE 395: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 396: Africa Historic Review for Machine Learning for Crop Yield Prediction by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 397: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 398: Africa Recent Past, Current & Future Analysis for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 399: Africa Historic Review for Machine Learning for Crop Yield Prediction by Farm Size - Small Farm, Medium Farm and Large Farm Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 400: Africa 15-Year Perspective for Machine Learning for Crop Yield Prediction by Farm Size - Percentage Breakdown of Value Sales for Small Farm, Medium Farm and Large Farm for the Years 2015, 2025 & 2030

IV. COMPETITION