2026年全球農業人工智慧（AI）市場報告

近年來，人工智慧（AI）在農業領域的市場規模迅速擴張。預計該市場規模將從2025年的27.1億美元成長到2026年的33.7億美元，複合年成長率（CAGR）為24.5%。這一成長歸功於不斷成長的糧食需求、農業自動化技術的早期應用、感測器技術的進步、精密農業的推廣以及提高作物產量的迫切需求。

預計未來幾年，農業人工智慧（AI）市場將快速成長，到2030年將達到82.3億美元，複合年成長率（CAGR）為25.0%。預測期內的成長預計將受到以下因素的推動：智慧農業實踐的日益普及、氣候變遷帶來的效率提升需求、農業機器人的擴展、政府對數位農業的支持以及對農業技術投資的增加。預測期內的關鍵趨勢包括精密農業技術、人工智慧驅動的作物監測系統、自主農業機械、產量預測分析和智慧資源管理解決方案。

為確保糧食安全，日益成長的糧食增產需求預計將在未來幾年推動農業領域人工智慧（AI）市場的擴張。糧食安全是指糧食的永續供應、取得和合理利用，以滿足人們健康積極生活所需的營養需求和偏好，並確保人人都能獲得安全營養的食物。人工智慧有助於最佳化農業運營，提高作物產量，同時分析海量的天氣趨勢、土壤品質和作物狀況資料集，為農民提供即時洞察和精準建議。這有助於改善灌溉、施肥、病蟲害防治和收割等方面的決策，進而提高生產力，減少廢棄物，增加糧食產量，並增強全球糧食安全。例如，根據美國農業部預測，截至2025年4月，2024/25年度全球米的生產量預計將達到創紀錄的5.358億噸（精米），年增約3%，即增加310萬噸。人們越來越重視糧食生產以確保糧食安全，這推動了農業領域人工智慧市場的成長。

在農業領域人工智慧 (AI) 市場主要企業正致力於開發產品創新，例如旨在提高產量預測準確性、增強決策能力和支援永續農業實踐的先進平台。 「突破性平台」指的是能夠透過創新解決方案克服現有挑戰、建立新的產業標準並推動進一步創新的變革性系統或技術。例如，2024 年 9 月，美國軟體公司 Helios AI 發布了 CommodiTrack，這是一個整合了廣泛的氣候風險數據和預測分析的先進平台，旨在提高農業食品供應鏈的韌性。該平台為用戶提供可操作的洞察，並能夠快速應對市場波動和營運中斷。

目錄

第1章執行摘要

第2章 市場特徵

• 市場定義和範圍
• 市場區隔
• 主要產品和服務概述
• 全球農業人工智慧（AI）市場：吸引力評分及分析
• 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

• 供應鏈與生態系概述
• 清單：主要原料、資源和供應商
• 主要經銷商和通路合作夥伴名單
• 主要最終用戶列表

第4章：全球市場趨勢與策略

• 關鍵科技與未來趨勢
  • 人工智慧（AI）和自主人工智慧
  • 永續性、氣候技術、循環經濟
  • 自主系統、機器人、智慧運輸
  • 物聯網、智慧基礎設施、互聯生態系統
  • 工業4.0和智慧製造
• 主要趨勢
  • 精密農業技術
  • 人工智慧驅動的作物監測系統
  • 自主農業機械
  • 預測產量分析
  • 智慧資源管理解決方案

第5章 終端用戶產業市場分析

• 農作物種植者
• 畜牧業的棋子
• 農業企業
• 農業科技公司
• 政府農業機構

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

• 全球農業人工智慧（AI）市場：PESTEL分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
• 全球農業人工智慧（AI）市場規模、對比及成長率分析
• 全球人工智慧（AI）在農業領域的市場表現：規模與成長，2020-2025年
• 全球農業人工智慧（AI）市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

• 按組件
• 硬體、軟體、服務
• 透過技術
• 機器學習、預測分析、電腦視覺
• 不同的發展
• 雲端、本地部署、混合部署
• 透過使用
• 精密農業、農業機器人、牲畜監測、無人機分析、勞動力管理及其他應用領域
• 按類型細分：硬體
• 感測器、無人機、影像系統、機器人、自動化設備
• 按類型細分：軟體
• 數據分析平台、農場管理軟體、基於人工智慧的預測工具、影像處理軟體
• 按類型細分：服務
• 諮詢服務、系統整合服務、維護與支援服務

第10章各國市場/產業指標

第11章 區域與國別分析

• 全球農業人工智慧（AI）市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
• 全球農業人工智慧（AI）市場：按國家分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

• 農業人工智慧（AI）市場：競爭格局與市場佔有率（2024年）
• 農業人工智慧（AI）市場：公司估值矩陣
• 農業人工智慧（AI）市場：公司概況
  • Google LLC
  • Microsoft Corporation
  • IBM Corporation
  • Bayer AG
  • John Deere

第38章 其他大型企業和創新企業

• Oracle Corporation, CNH Industrial NV, Wipro Limited., Valmont Industries Inc., Raven Industries Inc., Climate LLC, Granular Inc., Ag Leader Technology Inc., FarmWise Labs Inc., Taranis, Ceres Imaging, AgEagle Aerial Systems Inc., PrecisionHawk, Descartes Labs Inc., Farmobile LLC

第39章 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

• 2030年農業人工智慧（AI）市場：提供新機會的國家
• 2030年農業人工智慧（AI）市場：新興領域蘊藏新的機會
• 2030年農業人工智慧（AI）市場：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第42章附錄

Artificial intelligence (AI) in agriculture involves the use of modern technology and machine learning algorithms to optimize agricultural operations and enhance farm output. AI applications in agriculture encompass crop monitoring and yield prediction, precision farming techniques, automated machinery and robots, disease and insect detection, and efficient resource management.

The main components of artificial intelligence (AI) in agriculture consist of hardware, software, and services. Hardware refers to the physical components and equipment employed in AI applications in agriculture, including sensors, robotics, and harvesting equipment. These devices are utilized for data collection, crop health monitoring, and automated harvesting operations. The technologies involved encompass machine learning, predictive analysis, and computer vision. These AI systems can be deployed in the cloud, on-premises, or through a hybrid infrastructure. The applications of AI in agriculture span precision farming, agriculture robots, livestock monitoring, drone analytics, labor management, and more.

Tariffs have affected the AI in agriculture market by increasing costs of imported sensors, drones, imaging systems, and robotics equipment. Hardware intensive applications such as precision farming and autonomous machinery are most impacted. Regions dependent on imported agricultural technology, including parts of Asia Pacific and Latin America, face higher deployment costs. These challenges may slow adoption among small scale farmers. However, tariffs are encouraging local manufacturing and regional development of agricultural AI solutions.

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

The artificial intelligence (AI) in agriculture market size has grown exponentially in recent years. It will grow from $2.71 billion in 2025 to $3.37 billion in 2026 at a compound annual growth rate (CAGR) of 24.5%. The growth in the historic period can be attributed to increasing food demand, early adoption of farm automation, advancements in sensor technologies, growth of precision agriculture, need for improved crop productivity.

The artificial intelligence (AI) in agriculture market size is expected to see exponential growth in the next few years. It will grow to $8.23 billion in 2030 at a compound annual growth rate (CAGR) of 25.0%. The growth in the forecast period can be attributed to rising adoption of smart farming practices, climate change driven efficiency needs, expansion of agri robotics, government support for digital agriculture, increased investment in agri technology. Major trends in the forecast period include precision farming technologies, AI driven crop monitoring systems, autonomous agricultural machinery, predictive yield analytics, smart resource management solutions.

The growing requirement for higher food production to ensure food security is anticipated to drive the expansion of the artificial intelligence (AI) in agriculture market in the coming years. Food security refers to the consistent availability, accessibility, and proper use of food that meets individuals' dietary needs and preferences for a healthy and active life, ensuring universal access to safe and nutritious food. Artificial intelligence supports the optimization of farming operations, enhances crop productivity, and analyzes vast datasets such as weather trends, soil quality, and crop conditions to deliver real-time insights and precise recommendations to farmers. It facilitates better irrigation, fertilization, pest control, and harvesting decisions, leading to improved productivity, reduced waste, higher food output, and strengthened global food security. For instance, in April 2025, according to the United States Department of Agriculture, a US-based government department, the 2024/25 global rice production forecast increased by 3.1 million tons to a record 535.8 million (milled basis), nearly 3% higher than the previous year. Therefore, the growing emphasis on food production for food security is propelling the growth of the AI in agriculture market.

Major companies operating in the artificial intelligence (AI) in agriculture market are concentrating on developing product innovations such as advanced platforms to improve yield forecasting, strengthen decision-making, and support sustainable farming practices. A 'groundbreaking platform' refers to a transformative system or technology that sets new industry benchmarks and drives further innovation by addressing existing gaps with novel solutions. For instance, in September 2024, Helios AI, a US-based software company, launched CommodiTrack, an advanced platform that integrates extensive climate risk data with predictive analytics to improve the resilience of the agrifood supply chain. It provides users with actionable insights, enabling rapid responses to market fluctuations and operational disruptions.

In October 2023, Rockwell Automation, a US-based automation company, acquired Clearpath Robotics for an undisclosed amount. Rockwell Automation seeks to enhance its industrial automation portfolio by incorporating advanced autonomous mobile robots to streamline production logistics. This strategic move positions Rockwell to take advantage of the rising demand for efficient, connected manufacturing solutions. Clearpath Robotics, a Canadian robotics firm, integrates autonomous vehicles with AI to optimize agricultural tasks such as planting and harvesting, thereby improving efficiency and precision. This integration facilitates data-driven decision-making, resulting in increased yields and more sustainable farming practices.

Major companies operating in the artificial intelligence (AI) in agriculture market are Google LLC; Microsoft Corporation; IBM Corporation; Bayer AG; John Deere; Oracle Corporation; CNH Industrial N.V.; Wipro Limited.; Valmont Industries Inc.; Raven Industries Inc.; Climate LLC; Granular Inc.; Ag Leader Technology Inc.; FarmWise Labs Inc.; Taranis; Ceres Imaging; AgEagle Aerial Systems Inc.; PrecisionHawk; Descartes Labs Inc.; Farmobile LLC; AppHarvest; Farmers Edge Inc.; Iron Ox; Prospera Technologies; aWhere Inc.; Agribotix; Abundant Robotics; Agworld; Harvest Croo Robotics; Gamaya SA; Tule Technologies

North America was the largest region in the artificial intelligence (AI) in agriculture market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in agriculture market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in agriculture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The artificial intelligence (AI) in the agriculture market consists of revenues earned by entities by providing services such as precision agriculture, crop management, farm equipment automation, supply chain optimization, crop monitoring, and surveillance. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the agriculture market also includes sales of sensors, drones, robots, and satellites, which are used in providing artificial intelligence (AI) in agriculture services. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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

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

Artificial Intelligence (AI) In Agriculture Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (AI) in agriculture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (AI) in agriculture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI) in agriculture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component: Hardware; Software; Services
• 2) By Technology: Machine Learning; Predictive Analysis; Computer Vision
• 3) By Deployment: Cloud; On-Premise; Hybrid
• 4) By Application: Precision Farming; Agriculture Robots; Livestock Monitoring; Drone Analytics; Labor Management; Other Applications
• Subsegments:
• 1) By Hardware: Sensors; Drones; Imaging Systems; Robotics; Automated Equipment
• 2) By Software: Data Analytics Platforms; Farm Management Software; AI-Based Prediction Tools; Image Processing Software
• 3) By Services: Consulting Services; System Integration Services; Maintenance And Support Services
• Companies Mentioned: Google LLC; Microsoft Corporation; IBM Corporation; Bayer AG; John Deere; Oracle Corporation; CNH Industrial N.V.; Wipro Limited.; Valmont Industries Inc.; Raven Industries Inc.; Climate LLC; Granular Inc.; Ag Leader Technology Inc.; FarmWise Labs Inc.; Taranis; Ceres Imaging; AgEagle Aerial Systems Inc.; PrecisionHawk; Descartes Labs Inc.; Farmobile LLC; AppHarvest; Farmers Edge Inc.; Iron Ox; Prospera Technologies; aWhere Inc.; Agribotix; Abundant Robotics; Agworld; Harvest Croo Robotics; Gamaya SA; Tule Technologies
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

• 1.1. Key Market Insights (2020-2035)
• 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
• 1.3. Major Factors Driving the Market
• 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) In Agriculture Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global Artificial Intelligence (AI) In Agriculture Market Attractiveness Scoring And Analysis
  • 2.4.1. Overview of Market Attractiveness Framework
  • 2.4.2. Quantitative Scoring Methodology
  • 2.4.3. Factor-Wise Evaluation
• Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
• 2.4.4. Market Attractiveness Scoring and Interpretation
• 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) In Agriculture Market Supply Chain Analysis

• 3.1. Overview of the Supply Chain and Ecosystem
• 3.2. List Of Key Raw Materials, Resources & Suppliers
• 3.3. List Of Major Distributors and Channel Partners
• 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) In Agriculture Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Artificial Intelligence & Autonomous Intelligence
  • 4.1.2 Sustainability, Climate Tech & Circular Economy
  • 4.1.3 Autonomous Systems, Robotics & Smart Mobility
  • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.1.5 Industry 4.0 & Intelligent Manufacturing
• 4.2. Major Trends
  • 4.2.1 Precision Farming Technologies
  • 4.2.2 AI Driven Crop Monitoring Systems
  • 4.2.3 Autonomous Agricultural Machinery
  • 4.2.4 Predictive Yield Analytics
  • 4.2.5 Smart Resource Management Solutions

5. Artificial Intelligence (AI) In Agriculture Market Analysis Of End Use Industries

• 5.1 Crop Farmers
• 5.2 Livestock Farmers
• 5.3 Agricultural Enterprises
• 5.4 Agri Technology Companies
• 5.5 Government Agricultural Agencies

6. Artificial Intelligence (AI) In Agriculture Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) In Agriculture Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

• 7.1. Global Artificial Intelligence (AI) In Agriculture PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 7.2. Global Artificial Intelligence (AI) In Agriculture Market Size, Comparisons And Growth Rate Analysis
• 7.3. Global Artificial Intelligence (AI) In Agriculture Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
• 7.4. Global Artificial Intelligence (AI) In Agriculture Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) In Agriculture Total Addressable Market (TAM) Analysis for the Market

• 8.1. Definition and Scope of Total Addressable Market (TAM)
• 8.2. Methodology and Assumptions
• 8.3. Global Total Addressable Market (TAM) Estimation
• 8.4. TAM vs. Current Market Size Analysis
• 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) In Agriculture Market Segmentation

• 9.1. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Hardware, Software, Services
• 9.2. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Machine Learning, Predictive Analysis, Computer Vision
• 9.3. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Cloud, On-Premise, Hybrid
• 9.4. Global Artificial Intelligence (AI) In Agriculture Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Other Applications
• 9.5. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Sensors, Drones, Imaging Systems, Robotics, Automated Equipment
• 9.6. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Data Analytics Platforms, Farm Management Software, AI-Based Prediction Tools, Image Processing Software
• 9.7. Global Artificial Intelligence (AI) In Agriculture Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Consulting Services, System Integration Services, Maintenance And Support Services

10. Artificial Intelligence (AI) In Agriculture Market, Industry Metrics By Country

• 10.1. Global Artificial Intelligence (AI) In Agriculture Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
• 10.2. Global Artificial Intelligence (AI) In Agriculture Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Artificial Intelligence (AI) In Agriculture Market Regional And Country Analysis

• 11.1. Global Artificial Intelligence (AI) In Agriculture Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global Artificial Intelligence (AI) In Agriculture Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market

• 12.1. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 12.2. Asia-Pacific Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI) In Agriculture Market

• 13.1. China Artificial Intelligence (AI) In Agriculture Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 13.2. China Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI) In Agriculture Market

• 14.1. India Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI) In Agriculture Market

• 15.1. Japan Artificial Intelligence (AI) In Agriculture Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 15.2. Japan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI) In Agriculture Market

• 16.1. Australia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI) In Agriculture Market

• 17.1. Indonesia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence (AI) In Agriculture Market

• 18.1. South Korea Artificial Intelligence (AI) In Agriculture Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 18.2. South Korea Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI) In Agriculture Market

• 19.1. Taiwan Artificial Intelligence (AI) In Agriculture Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 19.2. Taiwan Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI) In Agriculture Market

• 20.1. South East Asia Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 20.2. South East Asia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence (AI) In Agriculture Market

• 21.1. Western Europe Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 21.2. Western Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI) In Agriculture Market

• 22.1. UK Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI) In Agriculture Market

• 23.1. Germany Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI) In Agriculture Market

• 24.1. France Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI) In Agriculture Market

• 25.1. Italy Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI) In Agriculture Market

• 26.1. Spain Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence (AI) In Agriculture Market

• 27.1. Eastern Europe Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 27.2. Eastern Europe Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI) In Agriculture Market

• 28.1. Russia Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence (AI) In Agriculture Market

• 29.1. North America Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 29.2. North America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI) In Agriculture Market

• 30.1. USA Artificial Intelligence (AI) In Agriculture Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 30.2. USA Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI) In Agriculture Market

• 31.1. Canada Artificial Intelligence (AI) In Agriculture Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 31.2. Canada Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence (AI) In Agriculture Market

• 32.1. South America Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 32.2. South America Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI) In Agriculture Market

• 33.1. Brazil Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence (AI) In Agriculture Market

• 34.1. Middle East Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 34.2. Middle East Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI) In Agriculture Market

• 35.1. Africa Artificial Intelligence (AI) In Agriculture Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 35.2. Africa Artificial Intelligence (AI) In Agriculture Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI) In Agriculture Market Regulatory and Investment Landscape

37. Artificial Intelligence (AI) In Agriculture Market Competitive Landscape And Company Profiles

• 37.1. Artificial Intelligence (AI) In Agriculture Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. Artificial Intelligence (AI) In Agriculture Market - Company Scoring Matrix
  • 37.2.1. Market Revenues
  • 37.2.2. Product Innovation Score
  • 37.2.3. Brand Recognition
• 37.3. Artificial Intelligence (AI) In Agriculture Market Company Profiles
  • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. Bayer AG Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. John Deere Overview, Products and Services, Strategy and Financial Analysis

38. Artificial Intelligence (AI) In Agriculture Market Other Major And Innovative Companies

• Oracle Corporation, CNH Industrial N.V., Wipro Limited., Valmont Industries Inc., Raven Industries Inc., Climate LLC, Granular Inc., Ag Leader Technology Inc., FarmWise Labs Inc., Taranis, Ceres Imaging, AgEagle Aerial Systems Inc., PrecisionHawk, Descartes Labs Inc., Farmobile LLC

39. Global Artificial Intelligence (AI) In Agriculture Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Agriculture Market

41. Artificial Intelligence (AI) In Agriculture Market High Potential Countries, Segments and Strategies

• 41.1. Artificial Intelligence (AI) In Agriculture Market In 2030 - Countries Offering Most New Opportunities
• 41.2. Artificial Intelligence (AI) In Agriculture Market In 2030 - Segments Offering Most New Opportunities
• 41.3. Artificial Intelligence (AI) In Agriculture Market In 2030 - Growth Strategies
  • 41.3.1. Market Trend Based Strategies
  • 41.3.2. Competitor Strategies

42. Appendix

• 42.1. Abbreviations
• 42.2. Currencies
• 42.3. Historic And Forecast Inflation Rates
• 42.4. Research Inquiries
• 42.5. The Business Research Company
• 42.6. Copyright And Disclaimer