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Agricultural AI-Global Market Insights and Sales Trends 2025
Synopsis
The global Agricultural AI market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Agricultural AI in various end use industries. The expanding demands from the Precision Farming, Livestock Monitoring, Drone Analytics and Agriculture Robots, are propelling Agricultural AI 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.
Asia Pacific shows high growth potential for Agricultural AI market, driven by demand from China, the second largest economy with some signs of stabilising, the Agricultural AI market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
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 Agricultural AI, 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 Agricultural AI 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 Agricultural AI market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Agricultural AI 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 Agricultural AI covered in this report include IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (Subsidiary of Monsanto), Granular, Descartes Labs, Prospera and Mavrx, etc.
The global Agricultural AI market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2ce
Precision Hawk
Skysquirrel Technologies
Cainthus
Global Agricultural AI 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 Agricultural AI market, Segment by Type:
Machine Learning
Computer Vision
Predictive Analytics
Global Agricultural AI 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 Agricultural AI 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
The global Agricultural AI market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Agricultural AI in various end use industries. The expanding demands from the Precision Farming, Livestock Monitoring, Drone Analytics and Agriculture Robots, are propelling Agricultural AI 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.
Asia Pacific shows high growth potential for Agricultural AI market, driven by demand from China, the second largest economy with some signs of stabilising, the Agricultural AI market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
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 Agricultural AI, 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 Agricultural AI 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 Agricultural AI market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Agricultural AI 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 Agricultural AI covered in this report include IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (Subsidiary of Monsanto), Granular, Descartes Labs, Prospera and Mavrx, etc.
The global Agricultural AI market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2ce
Precision Hawk
Skysquirrel Technologies
Cainthus
Global Agricultural AI 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 Agricultural AI market, Segment by Type:
Machine Learning
Computer Vision
Predictive Analytics
Global Agricultural AI 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 Agricultural AI 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 Agricultural AI
1.1 Agricultural AI Market Overview
1.1.1 Agricultural AI Product Scope
1.1.2 Agricultural AI Market Status and Outlook
1.2 Global Agricultural AI Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Agricultural AI Market Size by Region (2018-2029)
1.4 Global Agricultural AI Historic Market Size by Region (2018-2023)
1.5 Global Agricultural AI Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Agricultural AI Market Size (2018-2029)
1.6.1 North America Agricultural AI Market Size (2018-2029)
1.6.2 Europe Agricultural AI Market Size (2018-2029)
1.6.3 Asia-Pacific Agricultural AI Market Size (2018-2029)
1.6.4 Latin America Agricultural AI Market Size (2018-2029)
1.6.5 Middle East & Africa Agricultural AI Market Size (2018-2029)
2 Agricultural AI Market by Type
2.1 Introduction
2.1.1 Machine Learning
2.1.2 Computer Vision
2.1.3 Predictive Analytics
2.2 Global Agricultural AI Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Agricultural AI Historic Market Size by Type (2018-2023)
2.2.2 Global Agricultural AI Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Agricultural AI Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Agricultural AI Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Agricultural AI Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Agricultural AI Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Agricultural AI Revenue Breakdown by Type (2018-2029)
3 Agricultural AI 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 Agricultural AI Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Agricultural AI Historic Market Size by Application (2018-2023)
3.2.2 Global Agricultural AI Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Agricultural AI Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Agricultural AI Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Agricultural AI Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Agricultural AI Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Agricultural AI Revenue Breakdown by Application (2018-2029)
4 Agricultural AI Competition Analysis by Players
4.1 Global Agricultural AI 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 Agricultural AI as of 2022)
4.3 Date of Key Players Enter into Agricultural AI Market
4.4 Global Top Players Agricultural AI Headquarters and Area Served
4.5 Key Players Agricultural AI Product Solution and Service
4.6 Competitive Status
4.6.1 Agricultural AI Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 IBM
5.1.1 IBM Profile
5.1.2 IBM Main Business
5.1.3 IBM Agricultural AI Products, Services and Solutions
5.1.4 IBM Agricultural AI Revenue (US$ Million) & (2018-2023)
5.1.5 IBM Recent Developments
5.2 Deere & Company
5.2.1 Deere & Company Profile
5.2.2 Deere & Company Main Business
5.2.3 Deere & Company Agricultural AI Products, Services and Solutions
5.2.4 Deere & Company Agricultural AI Revenue (US$ Million) & (2018-2023)
5.2.5 Deere & Company Recent Developments
5.3 Microsoft
5.3.1 Microsoft Profile
5.3.2 Microsoft Main Business
5.3.3 Microsoft Agricultural AI Products, Services and Solutions
5.3.4 Microsoft Agricultural AI Revenue (US$ Million) & (2018-2023)
5.3.5 Agribotix Recent Developments
5.4 Agribotix
5.4.1 Agribotix Profile
5.4.2 Agribotix Main Business
5.4.3 Agribotix Agricultural AI Products, Services and Solutions
5.4.4 Agribotix Agricultural AI Revenue (US$ Million) & (2018-2023)
5.4.5 Agribotix Recent Developments
5.5 The Climate Corporation (Subsidiary of Monsanto)
5.5.1 The Climate Corporation (Subsidiary of Monsanto) Profile
5.5.2 The Climate Corporation (Subsidiary of Monsanto) Main Business
5.5.3 The Climate Corporation (Subsidiary of Monsanto) Agricultural AI Products, Services and Solutions
5.5.4 The Climate Corporation (Subsidiary of Monsanto) Agricultural AI Revenue (US$ Million) & (2018-2023)
5.5.5 The Climate Corporation (Subsidiary of Monsanto) Recent Developments
5.6 Granular
5.6.1 Granular Profile
5.6.2 Granular Main Business
5.6.3 Granular Agricultural AI Products, Services and Solutions
5.6.4 Granular Agricultural AI Revenue (US$ Million) & (2018-2023)
5.6.5 Granular Recent Developments
5.7 Descartes Labs
5.7.1 Descartes Labs Profile
5.7.2 Descartes Labs Main Business
5.7.3 Descartes Labs Agricultural AI Products, Services and Solutions
5.7.4 Descartes Labs Agricultural AI Revenue (US$ Million) & (2018-2023)
5.7.5 Descartes Labs Recent Developments
5.8 Prospera
5.8.1 Prospera Profile
5.8.2 Prospera Main Business
5.8.3 Prospera Agricultural AI Products, Services and Solutions
5.8.4 Prospera Agricultural AI Revenue (US$ Million) & (2018-2023)
5.8.5 Prospera Recent Developments
5.9 Mavrx
5.9.1 Mavrx Profile
5.9.2 Mavrx Main Business
5.9.3 Mavrx Agricultural AI Products, Services and Solutions
5.9.4 Mavrx Agricultural AI Revenue (US$ Million) & (2018-2023)
5.9.5 Mavrx Recent Developments
5.10 Awhere
5.10.1 Awhere Profile
5.10.2 Awhere Main Business
5.10.3 Awhere Agricultural AI Products, Services and Solutions
5.10.4 Awhere Agricultural AI Revenue (US$ Million) & (2018-2023)
5.10.5 Awhere Recent Developments
5.11 Gamaya
5.11.1 Gamaya Profile
5.11.2 Gamaya Main Business
5.11.3 Gamaya Agricultural AI Products, Services and Solutions
5.11.4 Gamaya Agricultural AI Revenue (US$ Million) & (2018-2023)
5.11.5 Gamaya Recent Developments
5.12 Ec2ce
5.12.1 Ec2ce Profile
5.12.2 Ec2ce Main Business
5.12.3 Ec2ce Agricultural AI Products, Services and Solutions
5.12.4 Ec2ce Agricultural AI Revenue (US$ Million) & (2018-2023)
5.12.5 Ec2ce Recent Developments
5.13 Precision Hawk
5.13.1 Precision Hawk Profile
5.13.2 Precision Hawk Main Business
5.13.3 Precision Hawk Agricultural AI Products, Services and Solutions
5.13.4 Precision Hawk Agricultural AI Revenue (US$ Million) & (2018-2023)
5.13.5 Precision Hawk Recent Developments
5.14 Skysquirrel Technologies
5.14.1 Skysquirrel Technologies Profile
5.14.2 Skysquirrel Technologies Main Business
5.14.3 Skysquirrel Technologies Agricultural AI Products, Services and Solutions
5.14.4 Skysquirrel Technologies Agricultural AI Revenue (US$ Million) & (2018-2023)
5.14.5 Skysquirrel Technologies Recent Developments
5.15 Cainthus
5.15.1 Cainthus Profile
5.15.2 Cainthus Main Business
5.15.3 Cainthus Agricultural AI Products, Services and Solutions
5.15.4 Cainthus Agricultural AI Revenue (US$ Million) & (2018-2023)
5.15.5 Cainthus Recent Developments
6 North America
6.1 North America Agricultural AI Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Agricultural AI 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 Agricultural AI 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 Agricultural AI 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 Agricultural AI Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Agricultural AI Market Dynamics
11.1 Agricultural AI Industry Trends
11.2 Agricultural AI Market Drivers
11.3 Agricultural AI Market Challenges
11.4 Agricultural AI 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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