2025年农业应用人工智慧全球市场报告

预计未来几年农业应用人工智慧的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 105 亿美元，复合年增长率为 29.4%。预测期内的成长归因于精密农业需求的增加、政府措施、补贴、粮食安全需求的增加、对农业技术新兴企业的投资以及资料主导的决策。预测期内的主要趋势包括精密农业、人工智慧预测分析、自动化和机器人、智慧灌溉系统和人工智慧作物育种的成长。

预计作物产量的提高将推动未来农业应用人工智慧市场的扩张。农作物单产是指农作物的产量，一般以单位面积产量来衡量。由于农业技术和实践的进步，例如改良作物品种的开发、更有效率的灌溉方法以及精密农业技术的采用，这一数字正在增加。农业中的人工智慧应用透过资料主导的洞察、预测分析和自动化来优化农业操作，从而有助于提高作物生产力。例如，2024年1月，美国农业部（USDA）报告称，预计2023年美国水稻平均产量为每英亩7,649磅，比2022年的平均产量7,385磅增加264磅。因此，作物产量的提高正在推动农业应用人工智慧市场的成长。

农业应用人工智慧市场的关键参与者正专注于开发基于人工智慧的工具等创新解决方案，以保持其在市场中的地位。这些基于人工智慧的工具是利用人工智慧来改善农业和农业实践各个方面的软体和技术。例如，2024 年 7 月，美国科技公司Google有限责任公司推出了一款基于人工智慧的工具，名为「农业景观理解」（ALU），以加强印度的农业实践，重点是抗旱准备和灌溉管理。 ALU 工具使用高解析度卫星图像和机器学习为各个农场提供量身定制的见解，满足印度农业领域的多样化需求。透过明确界定田地边界，我们可以分析作物类型、田地大小、与水源的距离以及有效灌溉和干旱管理策略所必需的其他因素。该倡议旨在透过提高农作物产量、促进资金获取以及加强农产品市场进入增强农民的能力。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场 - 宏观经济情景，包括利率、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

• 全球农业应用人工智慧PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
• 最终用途产业分析
• 全球农业应用人工智慧市场：成长率分析
• 全球农业应用人工智慧市场表现：规模与成长，2019-2024
• 全球农业应用人工智慧市场预测：规模与成长，2024-2029 年，2034 年
• 农业应用人工智慧的全球总目标市场（TAM）

第六章市场区隔

• 全球农业应用人工智慧市场：按组成部分、表现及预测，2019-2024 年、2024-2029 年、2034 年
• 硬体
• 软体
• 服务
• 全球农业应用人工智慧市场：按技术、绩效和预测，2019-2024 年、2024-2029 年、2034 年
• 机器学习和深度学习
• 预测分析
• 电脑视觉
• 全球农业应用人工智慧市场：应用、表现与预测，2019-2024 年、2024-2029 年、2034 年
• 精密农业
• 无人机分析
• 农业机器人
• 牲畜监控
• 其他用途
• 全球农业应用人工智慧市场，按硬体类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
• 感测器（土壤、气候、作物监测）
• 农作物监测无人机
• 自动拖拉机和收割机
• 精密农业的GPS和GIS系统
• 影像系统
• 用于农业监测的物联网设备
• 播种、种植和除草机器人
• 全球农业人工智慧市场细分（按软体类型、效能和预测），2019-2024 年、2024-2029 年、2034 年
• 农场管理软体
• 基于人工智慧的作物预测软体
• 精密农业软体
• 灌溉管理软体
• 病虫害检测软体
• 资料分析和视觉化工具
• 供应链优化软体
• 用于作物产量预测的机器学习演算法
• 全球农业应用人工智慧市场，依服务类型、绩效及预测细分，2019-2024 年、2024-2029 年、2034 年
• 人工智慧整合与实施服务
• 作物和土壤分析的资料分析服务
• 云端基础的农业服务
• AI模型训练及客製化服务
• 维护和支援服务
• 农业人工智慧引进咨询和顾问服务

第七章 区域和国家分析

• 全球农业应用人工智慧市场：按地区、表现和预测，2019-2024 年、2024-2029 年、2034 年
• 全球农业应用人工智慧市场：按国家、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

• 农业应用人工智慧市场：竞争格局
• 农业市场中的应用人工智慧：公司简介
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • BASF SE Overview, Products and Services, Strategy and Financial Analysis
  • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
  • Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • Deere & Company Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

• SAP SE
• CNH Industrial NV
• Kubota Corporation
• Corteva Inc.
• AGCO Corporation
• Trimble Inc.
• Raven Industries Inc.
• The Climate Corporation
• AG Leader Technology
• The BAE Systems Taranis
• Farmers Edge Inc.
• PrecisionHawk
• AgEagle Aerial Systems
• Descartes Labs Inc.
• Prospera Technologies Ltd.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

• 2029年农业市场应用人工智慧：提供新机会的国家
• 2029年农业市场中的应用人工智慧：提供新机会的细分市场
• 2029年农业市场应用人工智慧：成长策略
  • 基于市场趋势的策略
  • 竞争对手的策略

第36章 附录

Applied artificial intelligence (AI) in agriculture involves using AI technologies to optimize and enhance various farming practices. This includes employing AI-driven tools and systems to analyze data, automate tasks, and provide actionable insights that improve decision-making and efficiency in agriculture.

The main components of applied AI in agriculture are hardware, software, and services. Hardware refers to the physical devices and equipment used to deploy AI technologies, such as sensors, drones, cameras, and other machinery that collect field data. Various technologies, including machine learning and deep learning, predictive analytics, and computer vision, are utilized in applications such as precision farming, drone analytics, agricultural robotics, livestock monitoring, and more.

The applied AI in agriculture market research report is one of a series of new reports from The Business Research Company that provides applied AI in agriculture market statistics, including applied AI in agriculture industry global market size, regional shares, competitors with a applied AI in agriculture market share, detailed applied AI in agriculture market segments, market trends and opportunities, and any further data you may need to thrive in the applied AI in agriculture industry. This applied AI in agriculture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The applied ai in agriculture market size has grown exponentially in recent years. It will grow from $2.89 $ billion in 2024 to $3.75 $ billion in 2025 at a compound annual growth rate (CAGR) of 29.7%. The growth in the historic period can be attributed to data availability and collection, technological advancements, labor shortages, climate change and sustainability, and environmental concerns.

The applied ai in agriculture market size is expected to see exponential growth in the next few years. It will grow to $10.5 $ billion in 2029 at a compound annual growth rate (CAGR) of 29.4%. The growth in the forecast period can be attributed to increasing demand for precision farming, government initiatives, and subsidies, increasing demand for food security, investment in agritech startups, and data-driven decision-making. Major trends in the forecast period include precision agriculture growth, AI-powered predictive analytics, automation and robotics, smart irrigation systems, and AI-enhanced crop breeding.

The growing crop productivity is expected to drive the expansion of the applied AI in agriculture market moving forward. Crop productivity refers to the output of crops, typically measured in terms of yield per unit area of land. This is increasing due to advancements in agricultural technologies and practices, such as the development of improved crop varieties, more efficient irrigation methods, and the adoption of precision farming techniques. Applied AI in agriculture contributes to higher crop productivity by optimizing farming practices with data-driven insights, predictive analytics, and automation. For example, in January 2024, the United States Department of Agriculture (USDA) reported that the average yield for U.S. rice in 2023 was estimated at 7,649 pounds per acre, an increase of 264 pounds from the 2022 average yield of 7,385 pounds per acre. As a result, the rise in crop productivity is fueling the growth of the applied AI in agriculture market.

Key players in the applied AI in agriculture market are focusing on developing innovative solutions, such as AI-based tools, to maintain their market position. These AI-based tools are software and technologies that leverage artificial intelligence to improve various aspects of farming and agricultural practices. For example, in July 2024, Google LLC, a US-based technology company, introduced an AI-based tool called Agricultural Landscape Understanding (ALU) to enhance agricultural practices in India, with a focus on drought preparedness and irrigation management. The ALU tool uses high-resolution satellite imagery and machine learning to offer tailored insights for individual farm fields, addressing the diverse needs of India's agricultural landscape. By defining clear field boundaries, the tool analyzes factors such as crop type, field size, and proximity to water sources, which are vital for effective irrigation and drought management strategies. This initiative aims to empower farmers by improving crop yields, facilitating access to capital, and enhancing market access for agricultural products.

In August 2023, PTx Trimble, a US-based farming company, acquired Bilberry for an undisclosed amount. This acquisition is intended to boost Trimble's precision agriculture capabilities, particularly in selective spraying technologies. Bilberry, also a US-based company, specializes in AI-driven weed recognition systems that enable precise herbicide application.

Major companies operating in the applied ai in agriculture market are Microsoft Corporation, BASF SE, International Business Machines Corporation, Bayer AG, Deere & Company, SAP SE, CNH Industrial N.V., Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd., Agribotix, Gamaya

North America was the largest region in the applied AI in agriculture market in 2023. The regions covered in the applied ai in agriculture market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the applied ai in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The applied AI in agriculture market consists of revenues earned by entities by providing services such as crop management, livestock monitoring, soil analysis, weather prediction, pest and disease detection, and supply chain optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The applied AI in agriculture market also includes sales of sensors, robots, satellite imagery systems, and field cameras. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Applied AI In Agriculture Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on applied ai in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for applied ai in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The applied ai in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component: Hardware; Software; Service
• 2) By Technology: Machine Learning And Deep Learning; Predictive Analytics; Computer Vision
• 3) By Application: Precision Farming; Drone Analytics; Agriculture Robots; Livestock Monitoring; Other Applications
• Subsegments:
• 1) By Hardware: Sensors (Soil, Climate, Crop Monitoring); Drones For Crop Surveillance; Automated Tractors And Harvesters; GPS & GIS Systems For Precision Farming; Imaging Systems; IoT Devices For Agricultural Monitoring; Robotics For Seeding, Planting, And Weeding
• 2) By Software: Farm Management Software; AI-Based Crop Prediction Software; Precision Agriculture Software; Irrigation Management Software; Pest And Disease Detection Software; Data Analytics And Visualization Tools; Supply Chain Optimization Software; Machine Learning Algorithms For Yield Prediction
• 3) By Service: AI Integration And Implementation Services; Data Analytics Services For Crop And Soil Analysis; Cloud-Based Agricultural Services; AI Model Training And Customization Services; Maintenance And Support Services; Consultation And Advisory Services For AI Adoption In Agriculture
• Companies Mentioned: Microsoft Corporation; BASF SE; International Business Machines Corporation; Bayer AG; Deere & Company
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Applied AI In Agriculture Market Characteristics

3. Applied AI In Agriculture Market Trends And Strategies

4. Applied AI In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Applied AI In Agriculture Growth Analysis And Strategic Analysis Framework

• 5.1. Global Applied AI In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Applied AI In Agriculture Market Growth Rate Analysis
• 5.4. Global Applied AI In Agriculture Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Applied AI In Agriculture Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Applied AI In Agriculture Total Addressable Market (TAM)

6. Applied AI In Agriculture Market Segmentation

• 6.1. Global Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hardware
• Software
• Service
• 6.2. Global Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning And Deep Learning
• Predictive Analytics
• Computer Vision
• 6.3. Global Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Precision Farming
• Drone Analytics
• Agriculture Robots
• Livestock Monitoring
• Other Applications
• 6.4. Global Applied AI In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Sensors (Soil, Climate, Crop Monitoring)
• Drones For Crop Surveillance
• Automated Tractors And Harvesters
• GPS & GIS Systems For Precision Farming
• Imaging Systems
• IoT Devices For Agricultural Monitoring
• Robotics For Seeding, Planting, And Weeding
• 6.5. Global Applied AI In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Farm Management Software
• AI-Based Crop Prediction Software
• Precision Agriculture Software
• Irrigation Management Software
• Pest And Disease Detection Software
• Data Analytics And Visualization Tools
• Supply Chain Optimization Software
• Machine Learning Algorithms For Yield Prediction
• 6.6. Global Applied AI In Agriculture Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• AI Integration And Implementation Services
• Data Analytics Services For Crop And Soil Analysis
• Cloud-Based Agricultural Services
• AI Model Training And Customization Services
• Maintenance And Support Services
• Consultation And Advisory Services For AI Adoption In Agriculture

7. Applied AI In Agriculture Market Regional And Country Analysis

• 7.1. Global Applied AI In Agriculture Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Applied AI In Agriculture Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Applied AI In Agriculture Market

• 8.1. Asia-Pacific Applied AI In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Applied AI In Agriculture Market

• 9.1. China Applied AI In Agriculture Market Overview
• 9.2. China Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Applied AI In Agriculture Market

• 10.1. India Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Applied AI In Agriculture Market

• 11.1. Japan Applied AI In Agriculture Market Overview
• 11.2. Japan Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Applied AI In Agriculture Market

• 12.1. Australia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Applied AI In Agriculture Market

• 13.1. Indonesia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Applied AI In Agriculture Market

• 14.1. South Korea Applied AI In Agriculture Market Overview
• 14.2. South Korea Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Applied AI In Agriculture Market

• 15.1. Western Europe Applied AI In Agriculture Market Overview
• 15.2. Western Europe Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Applied AI In Agriculture Market

• 16.1. UK Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Applied AI In Agriculture Market

• 17.1. Germany Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Applied AI In Agriculture Market

• 18.1. France Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Applied AI In Agriculture Market

• 19.1. Italy Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Applied AI In Agriculture Market

• 20.1. Spain Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Applied AI In Agriculture Market

• 21.1. Eastern Europe Applied AI In Agriculture Market Overview
• 21.2. Eastern Europe Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Applied AI In Agriculture Market

• 22.1. Russia Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Applied AI In Agriculture Market

• 23.1. North America Applied AI In Agriculture Market Overview
• 23.2. North America Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Applied AI In Agriculture Market

• 24.1. USA Applied AI In Agriculture Market Overview
• 24.2. USA Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Applied AI In Agriculture Market

• 25.1. Canada Applied AI In Agriculture Market Overview
• 25.2. Canada Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Applied AI In Agriculture Market

• 26.1. South America Applied AI In Agriculture Market Overview
• 26.2. South America Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Applied AI In Agriculture Market

• 27.1. Brazil Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Applied AI In Agriculture Market

• 28.1. Middle East Applied AI In Agriculture Market Overview
• 28.2. Middle East Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Applied AI In Agriculture Market

• 29.1. Africa Applied AI In Agriculture Market Overview
• 29.2. Africa Applied AI In Agriculture Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Applied AI In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Applied AI In Agriculture Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Applied AI In Agriculture Market Competitive Landscape And Company Profiles

• 30.1. Applied AI In Agriculture Market Competitive Landscape
• 30.2. Applied AI In Agriculture Market Company Profiles
  • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. BASF SE Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Deere & Company Overview, Products and Services, Strategy and Financial Analysis

31. Applied AI In Agriculture Market Other Major And Innovative Companies

• 31.1. SAP SE
• 31.2. CNH Industrial N.V.
• 31.3. Kubota Corporation
• 31.4. Corteva Inc.
• 31.5. AGCO Corporation
• 31.6. Trimble Inc.
• 31.7. Raven Industries Inc.
• 31.8. The Climate Corporation
• 31.9. AG Leader Technology
• 31.10. The BAE Systems Taranis
• 31.11. Farmers Edge Inc.
• 31.12. PrecisionHawk
• 31.13. AgEagle Aerial Systems
• 31.14. Descartes Labs Inc.
• 31.15. Prospera Technologies Ltd.

32. Global Applied AI In Agriculture Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Applied AI In Agriculture Market

34. Recent Developments In The Applied AI In Agriculture Market

35. Applied AI In Agriculture Market High Potential Countries, Segments and Strategies

• 35.1 Applied AI In Agriculture Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Applied AI In Agriculture Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Applied AI In Agriculture Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer