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市場調查報告書
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1604665

農業人工智慧市場：按產品、技術、部署和應用分類 - 2025-2030 年全球預測

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個工作天內

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2023年農業人工智慧市場價值為22.5億美元，預計2024年將達27.3億美元，複合年成長率為22.45%，預計到2030年將達到92.9億美元。

農業中的人工智慧（AI）涉及使用先進的計算技術來增強農業流程、提高生產力並解決環境問題。人工智慧在這一領域的應用範圍非常廣泛，從作物管理的自動監測系統和預測分析，到用於供應鏈最佳化的精密農業和機器人技術。對人工智慧的需求源於加強糧食安全、管理有限資源和減輕氣候變遷對農業影響的迫切需求。應用範圍廣泛，包括自動檢測雜草和害蟲、產量預測和土壤監測。從大型相關企業到小農戶的最終消費部門正在利用人工智慧來提高決策和營運效率。關鍵的成長要素包括全球糧食需求的增加、永續農業實踐的需求以及人工智慧和物聯網的技術進步。開發適合氣候適應性作物和精準灌溉的人工智慧解決方案的機會比比皆是，有可能釋放新的收益來源。科技公司和農業企業之間的合作可以促進創新並創造各種規模的農民都可以使用的人工智慧工具。然而，實施成本高、新興地區技術採用有限以及資料隱私問題等挑戰可能會阻礙市場成長。基礎設施薄弱和技能差距使農村地區採用人工智慧解決方案變得更加複雜。為了充分利用成長，研究和創新應專注於能夠適應不同農業條件的低成本人工智慧系統和技術。用於供應鏈透明度的區塊鏈以及用於基因作物改良的生物技術和人工智慧的整合是值得探索的利潤豐厚的領域。市場的本質是動態的，快速的技術變革需要相關人員的敏捷性和遠見。應對市場挑戰需要共同努力，包括政策制定、人工智慧好處教育以及支援基礎設施投資，為人工智慧驅動的農業轉型鋪平道路。

主要市場統計
基準年[2023] 22.5億美元
預計年份 [2024] 27.3億美元
預測年份 [2030] 92.9億美元
複合年成長率（%） 22.45%

市場動態：揭示對農業市場快速發展的人工智慧的關鍵市場洞察

農業人工智慧市場正因供需的動態交互作用而轉變。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助消費行為及其對製造業的影響。

  • 市場促進因素
    • 預測分析在提高農業生產力的成長趨勢
    • 政府和民間組織積極引進現代農業技術
    • 在農業領域擴大採用先進的無人機（UAV）和衛星成像系統
  • 市場限制因素
    • 精密農業裝備引進人工智慧（AI）成本高昂所帶來的限制
  • 市場機會
    • 基於人工智慧的農業應用在牲畜監測和精密農業的興起
    • 先進農業技術與人工智慧（包括巨量資料、物聯網感測器）的整合
  • 市場挑戰
    • 缺乏認知和缺乏熟練的專業人員

波特五力：引領農業人工智慧市場的策略工具

波特的五力框架是了解市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解外部對農業市場人工智慧的影響

外部宏觀環境因素在塑造農業人工智慧市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解農業人工智慧市場的競爭格局

對農業市場人工智慧的詳細市場佔有率分析可以對供應商的績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 農業市場人工智慧定位矩陣供應商績效評估

FPNV 定位矩陣是評估農業人工智慧市場供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析與建議描繪農業市場人工智慧的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對農業市場人工智慧的策略分析至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：對當前市場環境的詳細審查、主要企業的廣泛資料、對其在市場中的影響力和整體影響力的評估。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 預測分析提高農業生產力的成長趨勢
      • 政府和私人組織為引進現代化所做的積極努力

農業技術

      • 農業領域擴大採用先進的無人機 (UAV) 和衛星成像系統
    • 抑制因素
      • 精密農業引進人工智慧高成本限制
    • 機會
      • 人工智慧農業在畜牧監測和精密農業的新應用
      • 將巨量資料、物聯網感測器等先進農業技術與人工智慧結合
    • 任務
      • 缺乏認知和缺乏熟練的專業人員
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章農業人工智慧市場：透過提供

  • 硬體
  • 服務
  • 軟體

第7章農業人工智慧市場：依技術分類

  • 電腦視覺
  • 機器學習
  • 預測分析

第8章農業人工智慧市場：依發展分類

  • 雲
  • 混合
  • 本地

第9章農業人工智慧市場：依應用分類

  • 農業機器人
  • 無人機分析
  • 勞動管理
  • 牲畜監測
  • 精密農業

第10章：美洲農業人工智慧市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第11章亞太地區農業人工智慧市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第12章：歐洲、中東和非洲農業人工智慧市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • SLCM 基於人工智慧的應用程式 Agri Reach 獲得 NABL 認證
    • Wadhwani AI 與卡納塔克邦政府簽署合作備忘錄以促進農民福利
    • Astanor Ventures 在 Source.Ag 溫室系統 A 輪融資中籌集了 2,300 萬美元
    • 美國-歐盟人工智慧協議：美國和歐盟推出首個人工智慧協議
    • Wadhwani AI 獲得 Google.org 100 萬美元津貼，用於建立農業人工智慧解決方案
    • 阿拉伯聯合大公國推出新的人工智慧驅動的行動應用程式用於農作物歉收檢測
    • 先正達和 Plantix 為亞洲農民推出人工智慧農業工具
    • Agrina 收購 Hummingbird Technologies 以強化碳農業
    • Cropin計畫即將發佈全球首個農業智慧雲“Agcloud”
    • AiDash 收購農業人工智慧平台 Neurafarms.ai
  • 戰略分析和建議

公司名單

  • 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