농업용 인공지능(AI) 시장 보고서(2026년)

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