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市场调查报告书
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农业人工智慧市场：按产品、技术、部署和应用划分 - 2025-2030 年全球预测

Artificial Intelligence in Agriculture Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 192 Pages | 商品交期: 最快1-2个工作天内

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2023年农业人工智慧市场价值为22.5亿美元，预计2024年将达27.3亿美元，复合年增长率为22.45%，预计到2030年将达到92.9亿美元。

农业中的人工智慧（AI）涉及使用先进的计算技术来增强农业流程、提高生产力并解决环境问题。人工智慧在这一领域的应用范围非常广泛，从作物管理的自动监测系统和预测分析，到用于供应链优化的精密农业和机器人技术。对人工智慧的需求源于加强粮食安全、管理有限资源和减轻气候变迁对农业影响的迫切需求。应用范围广泛，包括自动检测杂草和害虫、产量预测和土壤监测。从大型相关企业到小农户的最终消费部门正在利用人工智慧来提高决策和营运效率。关键的成长要素包括全球粮食需求的增加、永续农业实践的需求以及人工智慧和物联网的技术进步。开发适合气候适应性作物和精准灌溉的人工智慧解决方案的机会比比皆是，有可能释放新的收益来源。科技公司和农业企业之间的合作可以促进创新并创造各种规模的农民都可以使用的人工智慧工具。然而，实施成本高、新兴地区技术采用有限以及资料隐私问题等挑战可能会阻碍市场成长。基础设施薄弱和技能差距使农村地区采用人工智慧解决方案变得更加复杂。为了充分利用成长，研究和创新应专注于能够适应不同农业条件的低成本人工智慧系统和技术。用于供应链透明度的区块链以及用于基因作物改良的生物技术和人工智慧的整合是值得探索的利润丰厚的领域。市场的本质是动态的，快速的技术变革需要相关人员的敏捷性和远见。应对市场挑战需要共同努力，包括政策制定、人工智慧好处教育以及支援基础设施投资，为人工智慧驱动的农业转型铺平道路。

主要市场统计
基准年[2023] 22.5亿美元
预计年份 [2024] 27.3亿美元
预测年份 [2030] 92.9亿美元
复合年增长率（%） 22.45%

市场动态：揭示对农业市场快速发展的人工智慧的关键市场洞察

农业人工智慧市场正因供需的动态交互作用而转变。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助消费行为及其对製造业的影响。

  • 市场驱动因素
    • 预测分析在提高农业生产力的成长趋势
    • 政府和民间组织积极引进现代农业技术
    • 在农业领域扩大采用先进的无人机（UAV）和卫星成像系统
  • 市场限制因素
    • 精密农业装备引进人工智慧（AI）成本高昂所带来的限制
  • 市场机会
    • 基于人工智慧的农业应用在牲畜监测和精密农业的兴起
    • 先进农业技术与人工智慧（包括巨量资料、物联网感测器）的集成
  • 市场挑战
    • 缺乏认识和缺乏熟练的专业人员

波特五力：引领农业人工智慧市场的策略工具

波特的五力框架是了解市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解外部对农业市场人工智慧的影响

外部宏观环境因素在塑造农业人工智慧市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并为他们做出积极主动的决策做好准备。

市场占有率分析 了解农业人工智慧市场的竞争格局

对农业市场人工智慧的详细市场占有率分析可以对供应商的绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 农业市场人工智慧定位矩阵供应商绩效评估

FPNV 定位矩阵是评估农业人工智慧市场供应商的关键工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析与建议描绘农业市场人工智慧的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对农业市场人工智慧的策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机，并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：对当前市场环境的详细审查、主要企业的广泛资料、对其在市场中的影响力和整体影响力的评估。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 预测分析提高农业生产力的成长趋势
      • 政府和私人组织为引进现代化所做的积极努力

农业技术

      • 农业领域越来越多地采用先进的无人机 (UAV) 和卫星成像系统
    • 抑制因素
      • 精密农业引进人工智慧高成本限制
    • 机会
      • 人工智慧农业在畜牧监测和精密农业的新应用
      • 将巨量资料、物联网感测器等先进农业技术与人工智慧结合
    • 任务
      • 缺乏认识和缺乏熟练的专业人员
  • 市场区隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章农业人工智慧市场：透过提供

  • 硬体
  • 服务
  • 软体

第七章农业人工智慧市场：依技术分类

  • 电脑视觉
  • 机器学习
  • 预测分析

第八章农业人工智慧市场：依发展划分

  • 云
  • 混合
  • 本地

第九章农业人工智慧市场：依应用分类

  • 农业机器人
  • 无人机分析
  • 劳动管理
  • 牲畜监测
  • 精密农业

第10章：美洲农业人工智慧市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十一章亚太地区农业人工智慧市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十二章：欧洲、中东和非洲农业人工智慧市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十三章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • SLCM 基于人工智慧的应用程式 Agri Reach 获得 NABL 认证
    • Wadhwani AI 与卡纳塔克邦政府签署谅解备忘录以促进农民福利
    • Astanor Ventures 在 Source.Ag 温室系统 A 轮融资中筹集了 2,300 万美元
    • 美国-欧盟人工智慧协议：美国和欧盟推出首个人工智慧协议
    • Wadhwani AI 获得 Google.org 100 万美元津贴，用于建立农业人工智慧解决方案
    • 阿联酋推出新的人工智慧驱动的行动应用程式用于农作物歉收检测
    • 先正达和 Plantix 为亚洲农民推出人工智慧农业工具
    • Agrina 收购 Hummingbird Technologies 以强化碳农业
    • Cropin计画即将发布全球首个农业智慧云“Agcloud”
    • AiDash 收购农业人工智慧平台 Neurafarms.ai
  • 战略分析和建议

公司名单

  • Ag Code by Wilbur-Ellis Holdings, Inc.
  • AGCO Corporation
  • AgEagle Aerial Systems Inc.
  • AgNext
  • Apro Software
  • Bayer AG.
  • Cainthus by Ever.Ag
  • ClimateAi, inc.
  • Corteva Agriscience by Albaugh, LLC
  • Cropin Technology Solutions Pvt Ltd.
  • CropX Technologies Ltd.
  • DeHaat by Green Agrevolution PVT. LTD
  • Descartes Labs, Inc. by Antarctica Capital
  • FarmBot, Inc.
  • Farmers Edge Inc.
  • Gamaya Inc.
  • Gro Intelligence, Inc.
  • Infosys Limited
  • Intellias, LLC
  • Intello Labs Private Limited
  • International Business Machines Corporation
  • John Deere Group
  • Keenethics.
  • Khetibuddy Agritech Private Limited.
  • Microsoft Corporation
  • PrecisionHawk Inc.
  • Raven Industries, Inc.
  • Trace Genomics, Inc.
  • Trimble Inc.
  • Tule Technologies Inc.
  • Wipro Limited
Product Code: MRR-F949FCDE1347

The Artificial Intelligence in Agriculture Market was valued at USD 2.25 billion in 2023, expected to reach USD 2.73 billion in 2024, and is projected to grow at a CAGR of 22.45%, to USD 9.29 billion by 2030.

Artificial intelligence (AI) in agriculture encompasses the use of advanced computational technologies to enhance farming processes, improve productivity, and solve environmental issues. The scope of AI in this field is broad, spanning from automated monitoring systems and predictive analytics for crop management to robotics for precision farming and supply chain optimization. The necessity of AI arises from the urgent need to enhance food security, manage resource limitations, and mitigate the impacts of climate change on agriculture. Applications are diverse, including automated weed and pest detection, yield prediction, and soil monitoring. End-use sectors range from large-scale agribusinesses to small-holder farmers, leveraging AI for improved decision-making and operational efficiency. Key growth factors include the increasing global demand for food, the need for sustainable agriculture practices, and technological advancements in AI and IoT. Opportunities abound in developing AI solutions tailored for climate-resilient crops and precision irrigation, potentially unlocking new revenue streams. Collaborations between tech companies and agricultural businesses can foster innovation, creating AI tools that are accessible to farmers of all scales. However, challenges such as high implementation costs, limited technology adoption in developing regions, and data privacy concerns could hinder market growth. Infrastructure inadequacies and skill gaps further complicate the diffusion of AI solutions in rural areas. To capitalize on growth, research and innovation should focus on low-cost AI systems and adaptable technologies for varied agricultural conditions. AI's integration with blockchain for supply chain transparency and with biotechnology for genetic crop improvement presents lucrative areas for exploration. The nature of the market is dynamic, with rapid technological changes necessitating agility and foresight from stakeholders. Addressing market challenges involves concerted efforts in policy-making, education on AI benefits, and investment in supportive infrastructure, paving the way for a transformative agricultural landscape empowered by AI.

KEY MARKET STATISTICS
Base Year [2023] USD 2.25 billion
Estimated Year [2024] USD 2.73 billion
Forecast Year [2030] USD 9.29 billion
CAGR (%) 22.45%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Agriculture Market

The Artificial Intelligence in Agriculture Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Growing trend of predictive analytics to enhance agricultural productivity
    • Favorable government and private organizations initiatives to adopt modern agricultural technologies
    • Escalating adoption of advanced unmanned aerial vehicles (UAVs), and satellite imaging systems across agriculture sector
  • Market Restraints
    • Constraints associated with the high cost of deployment of artificial intelligence (AI) in precision farming equipment
  • Market Opportunities
    • Emerging application of AI based agriculture in livestock monitoring and precision farming
    • Integration of advanced farming technologies including big data, and IoT sensors with artificial intelligence
  • Market Challenges
    • Lack of awareness and limited availability of skilled professionals

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Agriculture Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Agriculture Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Agriculture Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Agriculture Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Agriculture Market

A detailed market share analysis in the Artificial Intelligence in Agriculture Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Agriculture Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Agriculture Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Agriculture Market

A strategic analysis of the Artificial Intelligence in Agriculture Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Agriculture Market, highlighting leading vendors and their innovative profiles. These include Ag Code by Wilbur-Ellis Holdings, Inc., AGCO Corporation, AgEagle Aerial Systems Inc., AgNext, Apro Software, Bayer AG., Cainthus by Ever.Ag, ClimateAi, inc., Corteva Agriscience by Albaugh, LLC, Cropin Technology Solutions Pvt Ltd., CropX Technologies Ltd., DeHaat by Green Agrevolution PVT. LTD, Descartes Labs, Inc. by Antarctica Capital, FarmBot, Inc., Farmers Edge Inc., Gamaya Inc., Gro Intelligence, Inc., Infosys Limited, Intellias, LLC, Intello Labs Private Limited, International Business Machines Corporation, John Deere Group, Keenethics., Khetibuddy Agritech Private Limited., Microsoft Corporation, PrecisionHawk Inc., Raven Industries, Inc., Trace Genomics, Inc., Trimble Inc., Tule Technologies Inc., and Wipro Limited.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Agriculture Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Offering, market is studied across Hardware, Services, and Software.
  • Based on Technology, market is studied across Computer Vision, Machine Learning, and Predictive Analytics.
  • Based on Deployment, market is studied across Cloud, Hybrid, and On-premise.
  • Based on Application, market is studied across Agriculture Robots, Drone Analytics, Labor Management, Livestock Monitoring, and Precision Farming.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing trend of predictive analytics to enhance agricultural productivity
      • 5.1.1.2. Favorable government and private organizations initiatives to adopt modern

agricultural technologies

      • 5.1.1.3. Escalating adoption of advanced unmanned aerial vehicles (UAVs), and satellite imaging systems across agriculture sector
    • 5.1.2. Restraints
      • 5.1.2.1. Constraints associated with the high cost of deployment of artificial intelligence (AI) in precision farming equipment
    • 5.1.3. Opportunities
      • 5.1.3.1. Emerging application of AI based agriculture in livestock monitoring and precision farming
      • 5.1.3.2. Integration of advanced farming technologies including big data, and IoT sensors with artificial intelligence
    • 5.1.4. Challenges
      • 5.1.4.1. Lack of awareness and limited availability of skilled professionals
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence in Agriculture Market, by Offering

  • 6.1. Introduction
  • 6.2. Hardware
  • 6.3. Services
  • 6.4. Software

7. Artificial Intelligence in Agriculture Market, by Technology

  • 7.1. Introduction
  • 7.2. Computer Vision
  • 7.3. Machine Learning
  • 7.4. Predictive Analytics

8. Artificial Intelligence in Agriculture Market, by Deployment

  • 8.1. Introduction
  • 8.2. Cloud
  • 8.3. Hybrid
  • 8.4. On-premise

9. Artificial Intelligence in Agriculture Market, by Application

  • 9.1. Introduction
  • 9.2. Agriculture Robots
  • 9.3. Drone Analytics
  • 9.4. Labor Management
  • 9.5. Livestock Monitoring
  • 9.6. Precision Farming

10. Americas Artificial Intelligence in Agriculture Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Artificial Intelligence in Agriculture Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Agriculture Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2023
  • 13.2. FPNV Positioning Matrix, 2023
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. SLCM's AI-Based App Agri Reach Gets NABL Accreditation
    • 13.3.2. Wadhwani AI Signs MoU with Karnataka Government to Promote Welfare for Farmers
    • 13.3.3. Astanor Ventures Leads USD 23 Million Series A for Source.Ag's Greenhouse System
    • 13.3.4. U.S. EU AI Agreement: U.S. and EU to Launch First-of-its-Kind Artificial Intelligence Agreement
    • 13.3.5. Wadhwani AI Gets USD 1 Million Grant from Google.org to Build AI Solutions in Agriculture
    • 13.3.6. UAE Launches New AI-Powered Mobile App for Crop Disorder Detection
    • 13.3.7. Syngenta, Plantix Launch AI Farming Tools for Farmers Across Asia
    • 13.3.8. Agreena Acquires Hummingbird Technologies to Strengthen Carbon Farming
    • 13.3.9. Cropin Plans to Launch World's First Agri Intelligence Cloud- 'Agcloud' Soon
    • 13.3.10. AiDash Buys Farming AI Platform Neurafarms.ai
  • 13.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Ag Code by Wilbur-Ellis Holdings, Inc.
  • 2. AGCO Corporation
  • 3. AgEagle Aerial Systems Inc.
  • 4. AgNext
  • 5. Apro Software
  • 6. Bayer AG.
  • 7. Cainthus by Ever.Ag
  • 8. ClimateAi, inc.
  • 9. Corteva Agriscience by Albaugh, LLC
  • 10. Cropin Technology Solutions Pvt Ltd.
  • 11. CropX Technologies Ltd.
  • 12. DeHaat by Green Agrevolution PVT. LTD
  • 13. Descartes Labs, Inc. by Antarctica Capital
  • 14. FarmBot, Inc.
  • 15. Farmers Edge Inc.
  • 16. Gamaya Inc.
  • 17. Gro Intelligence, Inc.
  • 18. Infosys Limited
  • 19. Intellias, LLC
  • 20. Intello Labs Private Limited
  • 21. International Business Machines Corporation
  • 22. John Deere Group
  • 23. Keenethics.
  • 24. Khetibuddy Agritech Private Limited.
  • 25. Microsoft Corporation
  • 26. PrecisionHawk Inc.
  • 27. Raven Industries, Inc.
  • 28. Trace Genomics, Inc.
  • 29. Trimble Inc.
  • 30. Tule Technologies Inc.
  • 31. Wipro Limited

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET RESEARCH PROCESS
  • FIGURE 2. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 23. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY AGRICULTURE ROBOTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DRONE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LABOR MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY LIVESTOCK MONITORING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY PRECISION FARMING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 26. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 30. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 31. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 32. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 34. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 35. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 36. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 37. BRAZIL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 38. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 39. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 40. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 41. CANADA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 42. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 43. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 44. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 45. MEXICO ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 46. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 47. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 49. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 52. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 56. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 57. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 58. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 59. AUSTRALIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 60. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 61. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 62. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 63. CHINA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 64. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 65. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 66. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 67. INDIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 68. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 69. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 70. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 71. INDONESIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 72. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 73. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 74. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 75. JAPAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 76. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 77. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 78. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 79. MALAYSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 80. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 81. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 82. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 83. PHILIPPINES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 84. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 85. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 86. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 87. SINGAPORE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 88. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 89. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 90. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 91. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 92. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 93. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 94. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 95. TAIWAN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 96. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 97. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 98. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 99. THAILAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 100. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 101. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 102. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 103. VIETNAM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 104. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 105. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 106. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 107. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 108. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 109. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 110. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 111. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 112. DENMARK ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 113. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 114. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 115. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 116. EGYPT ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 117. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 118. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 119. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 120. FINLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 121. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 122. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 123. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 124. FRANCE ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 125. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 126. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 127. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 128. GERMANY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 129. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 130. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 131. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 132. ISRAEL ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 133. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 134. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 135. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 136. ITALY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 137. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 138. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 139. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 140. NETHERLANDS ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 141. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 142. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 143. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 144. NIGERIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 145. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 146. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 147. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 148. NORWAY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 150. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 151. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 152. POLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 153. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 154. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 155. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 156. QATAR ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 157. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 158. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 159. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 160. RUSSIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 161. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 162. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 163. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 164. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 165. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 166. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 167. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 168. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 169. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 170. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 171. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 172. SPAIN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 173. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 174. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 175. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 176. SWEDEN ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 177. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 178. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 179. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 180. SWITZERLAND ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 181. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 182. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 183. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 184. TURKEY ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 185. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 186. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 187. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 188. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 189. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 190. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 191. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 192. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 193. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 194. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, FPNV POSITIONING MATRIX, 2023