Global Artificial Intelligence AI in Agriculture Market Overview And Scope:
Global Artificial Intelligence AI in Agriculture Market Size was estimated at USD 675.3 million in 2022 and is projected to reach USD 1693.89 million by 2028, exhibiting a CAGR of 16.56% during the forecast period.
The Global Artificial Intelligence AI in Agriculture Market Report 2025 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Artificial Intelligence AI in Agriculture utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2025 and 2032. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
Top Key Players Mentioned Are: IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics, Harvest Croo Robotics, CropX, John Deere, Gamaya, Cainthus
Global Artificial Intelligence AI in Agriculture Market Segmentation
By Type, Artificial Intelligence AI in Agriculture market has been segmented into:Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI)
By Application, Artificial Intelligence AI in Agriculture market has been segmented into:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence AI in Agriculture market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence AI in Agriculture market.
Top Key Players Covered in Artificial Intelligence AI in Agriculture market are:
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Objective to buy this Report:
1. Artificial Intelligence AI in Agriculture analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Artificial Intelligence AI in Agriculture market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Artificial Intelligence AI in Agriculture Market by Type
5.1 Artificial Intelligence AI in Agriculture Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence AI in Agriculture Market Overview
5.3 Machine Learning
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Machine Learning: Geographic Segmentation
5.4 Computer Vision
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Computer Vision: Geographic Segmentation
5.5 Predictive Analytics
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2017-2032F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Predictive Analytics: Geographic Segmentation
5.6 Artificial Intelligence (AI)
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2017-2032F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Artificial Intelligence (AI): Geographic Segmentation
Chapter 6: Artificial Intelligence AI in Agriculture Market by Application
6.1 Artificial Intelligence AI in Agriculture Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence AI in Agriculture Market Overview
6.3 Precision Farming
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Precision Farming: Geographic Segmentation
6.4 Livestock Monitoring
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Livestock Monitoring: Geographic Segmentation
6.5 Drone Analytics
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Drone Analytics: Geographic Segmentation
6.6 Agriculture Robots
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2017-2032F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Agriculture Robots: Geographic Segmentation
6.7 Others
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2017-2032F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Others: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Artificial Intelligence AI in Agriculture Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Artificial Intelligence AI in Agriculture Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Artificial Intelligence AI in Agriculture Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 IBM
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 INTEL
7.4 MICROSOFT
7.5 SAP
7.6 AGRIBOTIX
7.7 THE CLIMATE CORPORATION
7.8 MAVRX
7.9 AWHERE
7.10 PRECISION HAWK
7.11 GRANULAR
7.12 PROSPERA TECHNOLOGIES
7.13 SPENSA TECHNOLOGIES
7.14 RESSON
7.15 VISION ROBOTICS
7.16 HARVEST CROO ROBOTICS
7.17 CROPX
7.18 JOHN DEERE
7.19 GAMAYA
7.20 CAINTHUS
Chapter 8: Global Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 Machine Learning
8.2.2 Computer Vision
8.2.3 Predictive Analytics
8.2.4 Artificial Intelligence (AI)
8.3 Historic and Forecasted Market Size By Application
8.3.1 Precision Farming
8.3.2 Livestock Monitoring
8.3.3 Drone Analytics
8.3.4 Agriculture Robots
8.3.5 Others
Chapter 9: North America Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 Machine Learning
9.4.2 Computer Vision
9.4.3 Predictive Analytics
9.4.4 Artificial Intelligence (AI)
9.5 Historic and Forecasted Market Size By Application
9.5.1 Precision Farming
9.5.2 Livestock Monitoring
9.5.3 Drone Analytics
9.5.4 Agriculture Robots
9.5.5 Others
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 Machine Learning
10.4.2 Computer Vision
10.4.3 Predictive Analytics
10.4.4 Artificial Intelligence (AI)
10.5 Historic and Forecasted Market Size By Application
10.5.1 Precision Farming
10.5.2 Livestock Monitoring
10.5.3 Drone Analytics
10.5.4 Agriculture Robots
10.5.5 Others
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 Machine Learning
11.4.2 Computer Vision
11.4.3 Predictive Analytics
11.4.4 Artificial Intelligence (AI)
11.5 Historic and Forecasted Market Size By Application
11.5.1 Precision Farming
11.5.2 Livestock Monitoring
11.5.3 Drone Analytics
11.5.4 Agriculture Robots
11.5.5 Others
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 Machine Learning
12.4.2 Computer Vision
12.4.3 Predictive Analytics
12.4.4 Artificial Intelligence (AI)
12.5 Historic and Forecasted Market Size By Application
12.5.1 Precision Farming
12.5.2 Livestock Monitoring
12.5.3 Drone Analytics
12.5.4 Agriculture Robots
12.5.5 Others
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 Machine Learning
13.4.2 Computer Vision
13.4.3 Predictive Analytics
13.4.4 Artificial Intelligence (AI)
13.5 Historic and Forecasted Market Size By Application
13.5.1 Precision Farming
13.5.2 Livestock Monitoring
13.5.3 Drone Analytics
13.5.4 Agriculture Robots
13.5.5 Others
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2017-2032
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 Machine Learning
14.4.2 Computer Vision
14.4.3 Predictive Analytics
14.4.4 Artificial Intelligence (AI)
14.5 Historic and Forecasted Market Size By Application
14.5.1 Precision Farming
14.5.2 Livestock Monitoring
14.5.3 Drone Analytics
14.5.4 Agriculture Robots
14.5.5 Others
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Artificial Intelligence AI in Agriculture Scope:
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Report Data
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Artificial Intelligence AI in Agriculture Market
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Artificial Intelligence AI in Agriculture Market Size in 2025
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USD XX million
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Artificial Intelligence AI in Agriculture CAGR 2025 - 2032
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XX%
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Artificial Intelligence AI in Agriculture Base Year
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2024
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Artificial Intelligence AI in Agriculture Forecast Data
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2025 - 2032
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere, Precision Hawk, Granular, Prospera Technologies, Spensa Technologies, Resson, Vision Robotics, Harvest Croo Robotics, CropX, John Deere, Gamaya, Cainthus.
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Key Segments
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By Type
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI)
By Applications
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
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