APO RESEARCH · REPORT
Artificial Intelligence (AI) in Agriculture
This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.
Product & engineering
Understand the product.
This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.
Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.
Selected research
Industry Research
Artificial Intelligence (AI) in Agriculture Industry Research Report 2026
Market perspective
This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.
Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.
Artificial Intelligence (AI) in Agriculture is mainly used for three applications: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others. And Precision Farming was the most widely used area which took up about 35% of the global total.
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United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture. North America market took up about 45% the global market, while Europe was about 24%.
IBM, Granular, John Deere, The Climate Corporation and Vision Robotics are the key suppliers in the global Artificial Intelligence (AI) in Agriculture market. Top 5 took up about 46% of the global market.
Report Scope
This report quantifies the global Artificial Intelligence (AI) in Agriculture market in terms of revenue (US$ million) and, where applicable, service volume (K Units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/K Units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Artificial Intelligence (AI) in Agriculture.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Artificial Intelligence (AI) in Agriculture Market by Company
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 Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI) in Agriculture Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Artificial Intelligence (AI) in Agriculture Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Artificial Intelligence (AI) in Agriculture market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Artificial Intelligence (AI) in Agriculture and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Artificial Intelligence (AI) in Agriculture.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Artificial Intelligence (AI) in Agriculture companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Learning
- Computer Vision
- Predictive Analytics
Applications
- Precision Farming
- Livestock Monitoring
- Drone Analytics
- Agriculture Robots
- Others
Companies covered
- 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
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Artificial Intelligence (AI) in Agriculture by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Machine Learning
- 2.2.3 Computer Vision
- 2.2.4 Predictive Analytics
- 2.3 Artificial Intelligence (AI) in Agriculture by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Precision Farming
- 2.3.3 Livestock Monitoring
- 2.3.4 Drone Analytics
- 2.3.5 Agriculture Robots
- 2.3.6 Others
- 2.4 Assumptions and Limitations
3 Artificial Intelligence (AI) in Agriculture Breakdown Data by Type
- 3.1 Global Artificial Intelligence (AI) in Agriculture Historic Market Size by Type (2021-2026)
- 3.2 Global Artificial Intelligence (AI) in Agriculture Forecasted Market Size by Type (2027-2032)
4 Artificial Intelligence (AI) in Agriculture Breakdown Data by Application
- 4.1 Global Artificial Intelligence (AI) in Agriculture Historic Market Size by Application (2021-2026)
- 4.2 Global Artificial Intelligence (AI) in Agriculture Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Artificial Intelligence (AI) in Agriculture Market Perspective (2021-2032)
- 5.2 Global Artificial Intelligence (AI) in Agriculture Growth Trends by Region
- 5.2.1 Global Artificial Intelligence (AI) in Agriculture Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Artificial Intelligence (AI) in Agriculture Historic Market Size by Region (2021-2026)
- 5.2.3 Artificial Intelligence (AI) in Agriculture Forecasted Market Size by Region (2027-2032)
- 5.3 Artificial Intelligence (AI) in Agriculture Market Dynamics
- 5.3.1 Artificial Intelligence (AI) in Agriculture Industry Trends
- 5.3.2 Artificial Intelligence (AI) in Agriculture Market Drivers
- 5.3.3 Artificial Intelligence (AI) in Agriculture Market Challenges
- 5.3.4 Artificial Intelligence (AI) in Agriculture Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Artificial Intelligence (AI) in Agriculture Players by Revenue
- 6.1.1 Global Top Artificial Intelligence (AI) in Agriculture Players by Revenue (2021-2026)
- 6.1.2 Global Artificial Intelligence (AI) in Agriculture Revenue Market Share by Players (2021-2026)
- 6.2 Global Artificial Intelligence (AI) in Agriculture Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Artificial Intelligence (AI) in Agriculture Head Office and Area Served
- 6.4 Global Artificial Intelligence (AI) in Agriculture Players, Product Type & Application
- 6.5 Global Artificial Intelligence (AI) in Agriculture Manufacturers Established Date
- 6.6 Global Artificial Intelligence (AI) in Agriculture Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Artificial Intelligence (AI) in Agriculture Market Size (2021-2032)
- 7.2 North America Artificial Intelligence (AI) in Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Artificial Intelligence (AI) in Agriculture Market Size by Country (2021-2026)
- 7.4 North America Artificial Intelligence (AI) in Agriculture Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Artificial Intelligence (AI) in Agriculture Market Size (2021-2032)
- 8.2 Europe Artificial Intelligence (AI) in Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Artificial Intelligence (AI) in Agriculture Market Size by Country (2021-2026)
- 8.4 Europe Artificial Intelligence (AI) in Agriculture Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Artificial Intelligence (AI) in Agriculture Market Size (2021-2032)
- 9.2 Asia-Pacific Artificial Intelligence (AI) in Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Artificial Intelligence (AI) in Agriculture Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Artificial Intelligence (AI) in Agriculture Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Artificial Intelligence (AI) in Agriculture Market Size (2021-2032)
- 10.2 South America Artificial Intelligence (AI) in Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Artificial Intelligence (AI) in Agriculture Market Size by Country (2021-2026)
- 10.4 South America Artificial Intelligence (AI) in Agriculture Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Artificial Intelligence (AI) in Agriculture Market Size (2021-2032)
- 11.2 Middle East & Africa Artificial Intelligence (AI) in Agriculture Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Artificial Intelligence (AI) in Agriculture Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Artificial Intelligence (AI) in Agriculture Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 IBM
- 12.1.1 IBM Company Information
- 12.1.2 IBM Business Overview
- 12.1.3 IBM Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.1.4 IBM Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.1.5 IBM Recent Developments
- 12.2 Intel
- 12.2.1 Intel Company Information
- 12.2.2 Intel Business Overview
- 12.2.3 Intel Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.2.4 Intel Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.2.5 Intel Recent Developments
- 12.3 Microsoft
- 12.3.1 Microsoft Company Information
- 12.3.2 Microsoft Business Overview
- 12.3.3 Microsoft Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.3.4 Microsoft Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.3.5 Microsoft Recent Developments
- 12.4 SAP
- 12.4.1 SAP Company Information
- 12.4.2 SAP Business Overview
- 12.4.3 SAP Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.4.4 SAP Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.4.5 SAP Recent Developments
- 12.5 Agribotix
- 12.5.1 Agribotix Company Information
- 12.5.2 Agribotix Business Overview
- 12.5.3 Agribotix Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.5.4 Agribotix Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.5.5 Agribotix Recent Developments
- 12.6 The Climate Corporation
- 12.6.1 The Climate Corporation Company Information
- 12.6.2 The Climate Corporation Business Overview
- 12.6.3 The Climate Corporation Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.6.4 The Climate Corporation Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.6.5 The Climate Corporation Recent Developments
- 12.7 Mavrx
- 12.7.1 Mavrx Company Information
- 12.7.2 Mavrx Business Overview
- 12.7.3 Mavrx Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.7.4 Mavrx Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.7.5 Mavrx Recent Developments
- 12.8 aWhere
- 12.8.1 aWhere Company Information
- 12.8.2 aWhere Business Overview
- 12.8.3 aWhere Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.8.4 aWhere Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.8.5 aWhere Recent Developments
- 12.9 Precision Hawk
- 12.9.1 Precision Hawk Company Information
- 12.9.2 Precision Hawk Business Overview
- 12.9.3 Precision Hawk Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.9.4 Precision Hawk Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.9.5 Precision Hawk Recent Developments
- 12.10 Granular
- 12.10.1 Granular Company Information
- 12.10.2 Granular Business Overview
- 12.10.3 Granular Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.10.4 Granular Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.10.5 Granular Recent Developments
- 12.11 Prospera Technologies
- 12.11.1 Prospera Technologies Company Information
- 12.11.2 Prospera Technologies Business Overview
- 12.11.3 Prospera Technologies Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.11.4 Prospera Technologies Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.11.5 Prospera Technologies Recent Developments
- 12.12 Spensa Technologies
- 12.12.1 Spensa Technologies Company Information
- 12.12.2 Spensa Technologies Business Overview
- 12.12.3 Spensa Technologies Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.12.4 Spensa Technologies Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.12.5 Spensa Technologies Recent Developments
- 12.13 Resson
- 12.13.1 Resson Company Information
- 12.13.2 Resson Business Overview
- 12.13.3 Resson Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.13.4 Resson Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.13.5 Resson Recent Developments
- 12.14 Vision Robotics
- 12.14.1 Vision Robotics Company Information
- 12.14.2 Vision Robotics Business Overview
- 12.14.3 Vision Robotics Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.14.4 Vision Robotics Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.14.5 Vision Robotics Recent Developments
- 12.15 Harvest Croo Robotics
- 12.15.1 Harvest Croo Robotics Company Information
- 12.15.2 Harvest Croo Robotics Business Overview
- 12.15.3 Harvest Croo Robotics Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.15.4 Harvest Croo Robotics Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.15.5 Harvest Croo Robotics Recent Developments
- 12.16 CropX
- 12.16.1 CropX Company Information
- 12.16.2 CropX Business Overview
- 12.16.3 CropX Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.16.4 CropX Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.16.5 CropX Recent Developments
- 12.17 John Deere
- 12.17.1 John Deere Company Information
- 12.17.2 John Deere Business Overview
- 12.17.3 John Deere Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.17.4 John Deere Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.17.5 John Deere Recent Developments
- 12.18 Gamaya
- 12.18.1 Gamaya Company Information
- 12.18.2 Gamaya Business Overview
- 12.18.3 Gamaya Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.18.4 Gamaya Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.18.5 Gamaya Recent Developments
- 12.19 Cainthus
- 12.19.1 Cainthus Company Information
- 12.19.2 Cainthus Business Overview
- 12.19.3 Cainthus Revenue in Artificial Intelligence (AI) in Agriculture Business (2021-2026)
- 12.19.4 Cainthus Artificial Intelligence (AI) in Agriculture Product Portfolio
- 12.19.5 Cainthus Recent Developments
13 Report Conclusion
14 Disclaimer
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