Global Artificial Intelligence (AI) in Agriculture Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence (AI) in Agriculture market size will reach 968.44 Million USD in 2025 and is projected to reach 2,892.64 Million USD by 2032, with a CAGR of 16.92% (2025-2032). Notably, the China Artificial Intelligence (AI) in Agriculture market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial intelligence (AI) in agriculture refers to the use of advanced computer technologies to perform tasks that would typically require human intelligence or decision-making skills in the agricultural industry. This includes various uses of machine learning, such as computer vision, robotics, and data analytics, to improve farm productivity, crop management, and sustainability. The primary goals of AI in agriculture are to optimize resource utilization, reduce waste, and increase yield and profitability. AI is also increasingly being used in precision agriculture applications, which use sensors and other data sources to target specific areas of the farm based on data-driven insights. AI has the potential to revolutionize the way farmers operate and provide more efficient and sustainable agricultural practices.
The major global suppliers of Artificial Intelligence (AI) in Agriculture include 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, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence (AI) in Agriculture. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence (AI) in Agriculture market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence (AI) in Agriculture market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence (AI) in Agriculture industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence (AI) in Agriculture Include:
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
Artificial Intelligence (AI) in Agriculture Product Segment Include:
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI) in Agriculture Product Application Include:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence (AI) in Agriculture Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence (AI) in Agriculture Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence (AI) in Agriculture Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence (AI) in Agriculture Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence (AI) in Agriculture Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence (AI) in Agriculture Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence (AI) in Agriculture market size will reach 968.44 Million USD in 2025 and is projected to reach 2,892.64 Million USD by 2032, with a CAGR of 16.92% (2025-2032). Notably, the China Artificial Intelligence (AI) in Agriculture market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial intelligence (AI) in agriculture refers to the use of advanced computer technologies to perform tasks that would typically require human intelligence or decision-making skills in the agricultural industry. This includes various uses of machine learning, such as computer vision, robotics, and data analytics, to improve farm productivity, crop management, and sustainability. The primary goals of AI in agriculture are to optimize resource utilization, reduce waste, and increase yield and profitability. AI is also increasingly being used in precision agriculture applications, which use sensors and other data sources to target specific areas of the farm based on data-driven insights. AI has the potential to revolutionize the way farmers operate and provide more efficient and sustainable agricultural practices.
The major global suppliers of Artificial Intelligence (AI) in Agriculture include 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, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence (AI) in Agriculture. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence (AI) in Agriculture market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence (AI) in Agriculture market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence (AI) in Agriculture industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence (AI) in Agriculture Include:
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
Artificial Intelligence (AI) in Agriculture Product Segment Include:
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI) in Agriculture Product Application Include:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence (AI) in Agriculture Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence (AI) in Agriculture Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence (AI) in Agriculture Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence (AI) in Agriculture Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence (AI) in Agriculture Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence (AI) in Agriculture Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Artificial Intelligence (AI) in Agriculture Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Artificial Intelligence (AI) in Agriculture Product by Type
- 1.2.1 Machine Learning
- 1.2.2 Computer Vision
- 1.2.3 Predictive Analytics
- 1.3 Artificial Intelligence (AI) in Agriculture Product by Application
- 1.3.1 Precision Farming
- 1.3.2 Livestock Monitoring
- 1.3.3 Drone Analytics
- 1.3.4 Agriculture Robots
- 1.3.5 Others
- 1.4 Global Artificial Intelligence (AI) in Agriculture Market Size Analysis (2020-2032)
- 1.5 Artificial Intelligence (AI) in Agriculture Market Development Status and Trends
- 1.5.1 Artificial Intelligence (AI) in Agriculture Industry Development Status Analysis
- 1.5.2 Artificial Intelligence (AI) in Agriculture Industry Development Trends Analysis
- 2 Artificial Intelligence (AI) in Agriculture Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Artificial Intelligence (AI) in Agriculture Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Artificial Intelligence (AI) in Agriculture Market Analysis by Country
- 4.1 Global Artificial Intelligence (AI) in Agriculture Market Size Analysis by Country: 2024 VS 2025 VS 2030
- 4.1.1 Global Artificial Intelligence (AI) in Agriculture Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Artificial Intelligence (AI) in Agriculture Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.5 China Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.6 France Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.14 India Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Artificial Intelligence (AI) in Agriculture Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Artificial Intelligence (AI) in Agriculture Market Revenue by Key Suppliers (2021-2025)
- 5.2 Artificial Intelligence (AI) in Agriculture Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Artificial Intelligence (AI) in Agriculture Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Artificial Intelligence (AI) in Agriculture Market Analysis by Type
- 6.1 Global Artificial Intelligence (AI) in Agriculture Market Size Analysis by Type: 2024 & 2025 & 2032
- 6.2 Global Artificial Intelligence (AI) in Agriculture Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 IBM
- 7.1.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 IBM Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.1.3 IBM Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 Intel
- 7.2.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Intel Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.2.3 Intel Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Microsoft
- 7.3.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Microsoft Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.3.3 Microsoft Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 SAP
- 7.4.1 SAP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 SAP Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.4.3 SAP Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Agribotix
- 7.5.1 Agribotix Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Agribotix Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.5.3 Agribotix Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 The Climate Corporation
- 7.6.1 The Climate Corporation Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 The Climate Corporation Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.6.3 The Climate Corporation Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Mavrx
- 7.7.1 Mavrx Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Mavrx Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.7.3 Mavrx Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 aWhere
- 7.8.1 aWhere Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 aWhere Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.8.3 aWhere Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 Precision Hawk
- 7.9.1 Precision Hawk Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 Precision Hawk Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.9.3 Precision Hawk Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Granular
- 7.10.1 Granular Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Granular Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.10.3 Granular Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 Prospera Technologies
- 7.11.1 Prospera Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 Prospera Technologies Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.11.3 Prospera Technologies Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 Spensa Technologies
- 7.12.1 Spensa Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 Spensa Technologies Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.12.3 Spensa Technologies Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 Resson
- 7.13.1 Resson Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 Resson Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.13.3 Resson Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Vision Robotics
- 7.14.1 Vision Robotics Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Vision Robotics Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.14.3 Vision Robotics Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 Harvest Croo Robotics
- 7.15.1 Harvest Croo Robotics Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 Harvest Croo Robotics Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.15.3 Harvest Croo Robotics Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 CropX
- 7.16.1 CropX Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 CropX Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.16.3 CropX Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.17 John Deere
- 7.17.1 John Deere Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.17.2 John Deere Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.17.3 John Deere Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.18 Gamaya
- 7.18.1 Gamaya Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.18.2 Gamaya Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.18.3 Gamaya Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.19 Cainthus
- 7.19.1 Cainthus Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.19.2 Cainthus Artificial Intelligence (AI) in Agriculture Product Portfolio
- 7.19.3 Cainthus Artificial Intelligence (AI) in Agriculture Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Artificial Intelligence (AI) in Agriculture Industry Chain Analysis
- 8.2 Artificial Intelligence (AI) in Agriculture Product Downstream Application Analysis
- 8.2.1 Global Artificial Intelligence (AI) in Agriculture Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Artificial Intelligence (AI) in Agriculture Revenue and Forecast by Application (2020-2032)
- 8.3 Artificial Intelligence (AI) in Agriculture Typical Downstream Customers
- 8.4 Artificial Intelligence (AI) in Agriculture Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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