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AI in Agriculture-Global Market Insights and Sales Trends 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 size is expected to reach US$ 1606 million by 2029, growing at a CAGR of 12.8% from 2023 to 2029. The market is mainly driven by the significant applications of AI in Agriculture in various end use industries. The expanding demands from the Precision Farming, Livestock Monitoring, Drone Analytics and Agriculture Robots, are propelling AI in Agriculture market. Machine Learning, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Computer Vision segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI in Agriculture, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI in Agriculture market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI in Agriculture market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI in Agriculture sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI in Agriculture covered in this report include Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular and Raven Industries, etc.
The global AI in Agriculture market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Global AI in Agriculture market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI in Agriculture market, Segment by Type:
Machine Learning
Computer Vision
Predictive Analytics
Global AI in Agriculture market, by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of AI in Agriculture companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
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 size is expected to reach US$ 1606 million by 2029, growing at a CAGR of 12.8% from 2023 to 2029. The market is mainly driven by the significant applications of AI in Agriculture in various end use industries. The expanding demands from the Precision Farming, Livestock Monitoring, Drone Analytics and Agriculture Robots, are propelling AI in Agriculture market. Machine Learning, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Computer Vision segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI in Agriculture, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI in Agriculture market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI in Agriculture market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI in Agriculture sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI in Agriculture covered in this report include Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular and Raven Industries, etc.
The global AI in Agriculture market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Global AI in Agriculture market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI in Agriculture market, Segment by Type:
Machine Learning
Computer Vision
Predictive Analytics
Global AI in Agriculture market, by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of AI in Agriculture companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of AI in Agriculture
1.1 AI in Agriculture Market Overview
1.1.1 AI in Agriculture Product Scope
1.1.2 AI in Agriculture Market Status and Outlook
1.2 Global AI in Agriculture Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global AI in Agriculture Market Size by Region (2018-2029)
1.4 Global AI in Agriculture Historic Market Size by Region (2018-2023)
1.5 Global AI in Agriculture Market Size Forecast by Region (2024-2029)
1.6 Key Regions, AI in Agriculture Market Size (2018-2029)
1.6.1 North America AI in Agriculture Market Size (2018-2029)
1.6.2 Europe AI in Agriculture Market Size (2018-2029)
1.6.3 Asia-Pacific AI in Agriculture Market Size (2018-2029)
1.6.4 Latin America AI in Agriculture Market Size (2018-2029)
1.6.5 Middle East & Africa AI in Agriculture Market Size (2018-2029)
2 AI in Agriculture Market by Type
2.1 Introduction
2.1.1 Machine Learning
2.1.2 Computer Vision
2.1.3 Predictive Analytics
2.2 Global AI in Agriculture Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global AI in Agriculture Historic Market Size by Type (2018-2023)
2.2.2 Global AI in Agriculture Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America AI in Agriculture Revenue Breakdown by Type (2018-2029)
2.3.2 Europe AI in Agriculture Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific AI in Agriculture Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America AI in Agriculture Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa AI in Agriculture Revenue Breakdown by Type (2018-2029)
3 AI in Agriculture Market Overview by Application
3.1 Introduction
3.1.1 Precision Farming
3.1.2 Livestock Monitoring
3.1.3 Drone Analytics
3.1.4 Agriculture Robots
3.1.5 Others
3.2 Global AI in Agriculture Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global AI in Agriculture Historic Market Size by Application (2018-2023)
3.2.2 Global AI in Agriculture Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America AI in Agriculture Revenue Breakdown by Application (2018-2029)
3.3.2 Europe AI in Agriculture Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific AI in Agriculture Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America AI in Agriculture Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa AI in Agriculture Revenue Breakdown by Application (2018-2029)
4 AI in Agriculture Competition Analysis by Players
4.1 Global AI in Agriculture Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in AI in Agriculture as of 2022)
4.3 Date of Key Players Enter into AI in Agriculture Market
4.4 Global Top Players AI in Agriculture Headquarters and Area Served
4.5 Key Players AI in Agriculture Product Solution and Service
4.6 Competitive Status
4.6.1 AI in Agriculture Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Ag Leader Technology
5.1.1 Ag Leader Technology Profile
5.1.2 Ag Leader Technology Main Business
5.1.3 Ag Leader Technology AI in Agriculture Products, Services and Solutions
5.1.4 Ag Leader Technology AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.1.5 Ag Leader Technology Recent Developments
5.2 Trimble
5.2.1 Trimble Profile
5.2.2 Trimble Main Business
5.2.3 Trimble AI in Agriculture Products, Services and Solutions
5.2.4 Trimble AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.2.5 Trimble Recent Developments
5.3 John Deere
5.3.1 John Deere Profile
5.3.2 John Deere Main Business
5.3.3 John Deere AI in Agriculture Products, Services and Solutions
5.3.4 John Deere AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.3.5 Iteris Recent Developments
5.4 Iteris
5.4.1 Iteris Profile
5.4.2 Iteris Main Business
5.4.3 Iteris AI in Agriculture Products, Services and Solutions
5.4.4 Iteris AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.4.5 Iteris Recent Developments
5.5 AGCO
5.5.1 AGCO Profile
5.5.2 AGCO Main Business
5.5.3 AGCO AI in Agriculture Products, Services and Solutions
5.5.4 AGCO AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.5.5 AGCO Recent Developments
5.6 aWhere
5.6.1 aWhere Profile
5.6.2 aWhere Main Business
5.6.3 aWhere AI in Agriculture Products, Services and Solutions
5.6.4 aWhere AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.6.5 aWhere Recent Developments
5.7 Gamaya
5.7.1 Gamaya Profile
5.7.2 Gamaya Main Business
5.7.3 Gamaya AI in Agriculture Products, Services and Solutions
5.7.4 Gamaya AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.7.5 Gamaya Recent Developments
5.8 Granular
5.8.1 Granular Profile
5.8.2 Granular Main Business
5.8.3 Granular AI in Agriculture Products, Services and Solutions
5.8.4 Granular AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.8.5 Granular Recent Developments
5.9 Raven Industries
5.9.1 Raven Industries Profile
5.9.2 Raven Industries Main Business
5.9.3 Raven Industries AI in Agriculture Products, Services and Solutions
5.9.4 Raven Industries AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.9.5 Raven Industries Recent Developments
5.10 Prospera
5.10.1 Prospera Profile
5.10.2 Prospera Main Business
5.10.3 Prospera AI in Agriculture Products, Services and Solutions
5.10.4 Prospera AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.10.5 Prospera Recent Developments
5.11 Skysquirrel Technologies
5.11.1 Skysquirrel Technologies Profile
5.11.2 Skysquirrel Technologies Main Business
5.11.3 Skysquirrel Technologies AI in Agriculture Products, Services and Solutions
5.11.4 Skysquirrel Technologies AI in Agriculture Revenue (US$ Million) & (2018-2023)
5.11.5 Skysquirrel Technologies Recent Developments
6 North America
6.1 North America AI in Agriculture Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe AI in Agriculture Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific AI in Agriculture Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America AI in Agriculture Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa AI in Agriculture Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 AI in Agriculture Market Dynamics
11.1 AI in Agriculture Industry Trends
11.2 AI in Agriculture Market Drivers
11.3 AI in Agriculture Market Challenges
11.4 AI in Agriculture Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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