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Global AI in Agriculture Market Research Report 2025
Synopsis
Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.
The global AI in Agriculture market was valued at US$ 672 million in 2023 and is anticipated to reach US$ 1606 million by 2030, witnessing a CAGR of 12.8% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/37 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI in Agriculture, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Agriculture.
Report Scope
The AI in Agriculture market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Agriculture market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 2: 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 3: Detailed analysis of AI in Agriculture companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.
The global AI in Agriculture market was valued at US$ 672 million in 2023 and is anticipated to reach US$ 1606 million by 2030, witnessing a CAGR of 12.8% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/37 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI in Agriculture, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Agriculture.
Report Scope
The AI in Agriculture market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Agriculture market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 2: 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 3: Detailed analysis of AI in Agriculture companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Agriculture Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Predictive Analytics
1.3 Market by Application
1.3.1 Global AI in Agriculture Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Precision Farming
1.3.3 Livestock Monitoring
1.3.4 Drone Analytics
1.3.5 Agriculture Robots
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Agriculture Market Perspective (2019-2030)
2.2 AI in Agriculture Growth Trends by Region
2.2.1 Global AI in Agriculture Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Agriculture Historic Market Size by Region (2019-2024)
2.2.3 AI in Agriculture Forecasted Market Size by Region (2025-2030)
2.3 AI in Agriculture Market Dynamics
2.3.1 AI in Agriculture Industry Trends
2.3.2 AI in Agriculture Market Drivers
2.3.3 AI in Agriculture Market Challenges
2.3.4 AI in Agriculture Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Agriculture Players by Revenue
3.1.1 Global Top AI in Agriculture Players by Revenue (2019-2024)
3.1.2 Global AI in Agriculture Revenue Market Share by Players (2019-2024)
3.2 Global AI in Agriculture Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Agriculture Revenue
3.4 Global AI in Agriculture Market Concentration Ratio
3.4.1 Global AI in Agriculture Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Agriculture Revenue in 2023
3.5 AI in Agriculture Key Players Head office and Area Served
3.6 Key Players AI in Agriculture Product Solution and Service
3.7 Date of Enter into AI in Agriculture Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Agriculture Breakdown Data by Type
4.1 Global AI in Agriculture Historic Market Size by Type (2019-2024)
4.2 Global AI in Agriculture Forecasted Market Size by Type (2025-2030)
5 AI in Agriculture Breakdown Data by Application
5.1 Global AI in Agriculture Historic Market Size by Application (2019-2024)
5.2 Global AI in Agriculture Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Agriculture Market Size (2019-2030)
6.2 North America AI in Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Agriculture Market Size by Country (2019-2024)
6.4 North America AI in Agriculture Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Agriculture Market Size (2019-2030)
7.2 Europe AI in Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Agriculture Market Size by Country (2019-2024)
7.4 Europe AI in Agriculture Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Agriculture Market Size (2019-2030)
8.2 Asia-Pacific AI in Agriculture Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Agriculture Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Agriculture Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Agriculture Market Size (2019-2030)
9.2 Latin America AI in Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Agriculture Market Size by Country (2019-2024)
9.4 Latin America AI in Agriculture Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Agriculture Market Size (2019-2030)
10.2 Middle East & Africa AI in Agriculture Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Agriculture Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Agriculture Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Ag Leader Technology
11.1.1 Ag Leader Technology Company Detail
11.1.2 Ag Leader Technology Business Overview
11.1.3 Ag Leader Technology AI in Agriculture Introduction
11.1.4 Ag Leader Technology Revenue in AI in Agriculture Business (2019-2024)
11.1.5 Ag Leader Technology Recent Development
11.2 Trimble
11.2.1 Trimble Company Detail
11.2.2 Trimble Business Overview
11.2.3 Trimble AI in Agriculture Introduction
11.2.4 Trimble Revenue in AI in Agriculture Business (2019-2024)
11.2.5 Trimble Recent Development
11.3 John Deere
11.3.1 John Deere Company Detail
11.3.2 John Deere Business Overview
11.3.3 John Deere AI in Agriculture Introduction
11.3.4 John Deere Revenue in AI in Agriculture Business (2019-2024)
11.3.5 John Deere Recent Development
11.4 Iteris
11.4.1 Iteris Company Detail
11.4.2 Iteris Business Overview
11.4.3 Iteris AI in Agriculture Introduction
11.4.4 Iteris Revenue in AI in Agriculture Business (2019-2024)
11.4.5 Iteris Recent Development
11.5 AGCO
11.5.1 AGCO Company Detail
11.5.2 AGCO Business Overview
11.5.3 AGCO AI in Agriculture Introduction
11.5.4 AGCO Revenue in AI in Agriculture Business (2019-2024)
11.5.5 AGCO Recent Development
11.6 aWhere
11.6.1 aWhere Company Detail
11.6.2 aWhere Business Overview
11.6.3 aWhere AI in Agriculture Introduction
11.6.4 aWhere Revenue in AI in Agriculture Business (2019-2024)
11.6.5 aWhere Recent Development
11.7 Gamaya
11.7.1 Gamaya Company Detail
11.7.2 Gamaya Business Overview
11.7.3 Gamaya AI in Agriculture Introduction
11.7.4 Gamaya Revenue in AI in Agriculture Business (2019-2024)
11.7.5 Gamaya Recent Development
11.8 Granular
11.8.1 Granular Company Detail
11.8.2 Granular Business Overview
11.8.3 Granular AI in Agriculture Introduction
11.8.4 Granular Revenue in AI in Agriculture Business (2019-2024)
11.8.5 Granular Recent Development
11.9 Raven Industries
11.9.1 Raven Industries Company Detail
11.9.2 Raven Industries Business Overview
11.9.3 Raven Industries AI in Agriculture Introduction
11.9.4 Raven Industries Revenue in AI in Agriculture Business (2019-2024)
11.9.5 Raven Industries Recent Development
11.10 Prospera
11.10.1 Prospera Company Detail
11.10.2 Prospera Business Overview
11.10.3 Prospera AI in Agriculture Introduction
11.10.4 Prospera Revenue in AI in Agriculture Business (2019-2024)
11.10.5 Prospera Recent Development
11.11 Skysquirrel Technologies
11.11.1 Skysquirrel Technologies Company Detail
11.11.2 Skysquirrel Technologies Business Overview
11.11.3 Skysquirrel Technologies AI in Agriculture Introduction
11.11.4 Skysquirrel Technologies Revenue in AI in Agriculture Business (2019-2024)
11.11.5 Skysquirrel Technologies Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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