CHAPTER 1. Industry Overview of AI in Agriculture Market
1.1. Definition and Scope
1.1.1. Definition of AI in Agriculture
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global AI in Agriculture Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. AI in Agriculture Market By Component
1.2.3. AI in Agriculture Market By Technology
1.2.4. AI in Agriculture Market By Application
1.2.5. AI in Agriculture Market By Region
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Source
2.2.2. Primary Source
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restraint 1
3.2.2. Restraint 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of AI in Agriculture Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for AI in Agriculture Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Price Trend of Key Raw Material
3.8.1. Raw Material Suppliers
3.8.2. Proportion of Manufacturing Cost Structure
3.8.2.1. Raw Material
3.8.2.2. Labor Cost
3.8.2.3. Manufacturing Expense
3.9. Regulatory Compliance
3.10. Competitive Landscape, 2023
3.10.1. Player Positioning Analysis
3.10.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Manufacturing Plant Analysis
4.1. Manufacturing Plant Location and Establish Date of Major Manufacturers in 2023
4.2. R&D Status of Major Manufacturers in 2023
CHAPTER 5. AI in Agriculture Market By Component
5.1. Introduction
5.2. AI in Agriculture Revenue By Component
5.2.1. AI in Agriculture Revenue (USD Billion) and Forecast, By Component, 2020-2032
5.2.2. Hardware
5.2.2.1. Hardware Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
5.2.3. Services
5.2.3.1. Services Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
5.2.4. Software
5.2.4.1. Software Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
CHAPTER 6. AI in Agriculture Market By Technology
6.1. Introduction
6.2. AI in Agriculture Revenue By Technology
6.2.1. AI in Agriculture Revenue (USD Billion) and Forecast, By Technology, 2020-2032
6.2.2. Machine Learning & Deep Learning
6.2.2.1. Machine Learning & Deep Learning Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.3. Computer Vision
6.2.3.1. Computer Vision Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.4. Predictive Analytics
6.2.4.1. Predictive Analytics Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
CHAPTER 7. AI in Agriculture Market By Application
7.1. Introduction
7.2. AI in Agriculture Revenue By Application
7.2.1. AI in Agriculture Revenue (USD Billion) and Forecast, By Application, 2020-2032
7.2.2. Precision Farming
7.2.2.1. Precision Farming Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
7.2.3. Livestock Monitoring
7.2.3.1. Livestock Monitoring Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
7.2.4. Agriculture Robots
7.2.4.1. Agriculture Robots Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
7.2.5. Drone Analytics
7.2.5.1. Drone Analytics Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
7.2.6. Others
7.2.6.1. Others Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
CHAPTER 8. North America AI in Agriculture Market By Country
8.1. North America AI in Agriculture Market Overview
8.2. U.S.
8.2.1. U.S. AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
8.2.2. U.S. AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
8.2.3. U.S. AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
8.3. Canada
8.3.1. Canada AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
8.3.2. Canada AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
8.3.3. Canada AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
8.4. North America PEST Analysis
CHAPTER 9. Europe AI in Agriculture Market By Country
9.1. Europe AI in Agriculture Market Overview
9.2. U.K.
9.2.1. U.K. AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
9.2.2. U.K. AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
9.2.3. U.K. AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
9.3. Germany
9.3.1. Germany AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
9.3.2. Germany AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
9.3.3. Germany AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
9.4. France
9.4.1. France AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
9.4.2. France AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
9.4.3. France AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
9.5. Spain
9.5.1. Spain AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
9.5.2. Spain AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
9.5.3. Spain AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
9.6. Rest of Europe
9.6.1. Rest of Europe AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
9.6.2. Rest of Europe AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
9.6.3. Rest of Europe AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
9.7. Europe PEST Analysis
CHAPTER 10. Asia Pacific AI in Agriculture Market By Country
10.1. Asia Pacific AI in Agriculture Market Overview
10.2. China
10.2.1. China AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
10.2.2. China AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
10.2.3. China AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
10.3. Japan
10.3.1. Japan AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
10.3.2. Japan AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
10.3.3. Japan AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
10.4. India
10.4.1. India AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
10.4.2. India AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
10.4.3. India AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
10.5. Australia
10.5.1. Australia AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
10.5.2. Australia AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
10.5.3. Australia AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
10.6. South Korea
10.6.1. South Korea AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
10.6.2. South Korea AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
10.6.3. South Korea AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
10.7. Rest of Asia-Pacific
10.7.1. Rest of Asia-Pacific AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
10.7.2. Rest of Asia-Pacific AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
10.7.3. Rest of Asia-Pacific AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
10.8. Asia Pacific PEST Analysis
CHAPTER 11. Latin America AI in Agriculture Market By Country
11.1. Latin America AI in Agriculture Market Overview
11.2. Brazil
11.2.1. Brazil AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
11.2.2. Brazil AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
11.2.3. Brazil AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
11.3. Mexico
11.3.1. Mexico AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
11.3.2. Mexico AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
11.3.3. Mexico AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
11.4. Rest of Latin America
11.4.1. Rest of Latin America AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
11.4.2. Rest of Latin America AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
11.4.3. Rest of Latin America AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
11.5. Latin America PEST Analysis
CHAPTER 12. Middle East & Africa AI in Agriculture Market By Country
12.1. Middle East & Africa AI in Agriculture Market Overview
12.2. GCC
12.2.1. GCC AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
12.2.2. GCC AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
12.2.3. GCC AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
12.3. South Africa
12.3.1. South Africa AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
12.3.2. South Africa AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
12.3.3. South Africa AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
12.4. Rest of Middle East & Africa
12.4.1. Rest of Middle East & Africa AI in Agriculture Revenue (USD Billion) and Forecast By Component, 2020-2032
12.4.2. Rest of Middle East & Africa AI in Agriculture Revenue (USD Billion) and Forecast By Technology, 2020-2032
12.4.3. Rest of Middle East & Africa AI in Agriculture Revenue (USD Billion) and Forecast By Application, 2020-2032
12.5. Middle East & Africa PEST Analysis
CHAPTER 13. Player Analysis Of AI in Agriculture Market
13.1. AI in Agriculture Market Company Share Analysis
13.2. Competition Matrix
13.2.1. Competitive Benchmarking Of Key Players By Price, Presence, Market Share, And R&D Investment
13.2.2. New Product Launches and Product Enhancements
13.2.3. Mergers And Acquisition In Global AI in Agriculture Market
13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 14. Company Profile
14.1. Ag Leader Technology
14.1.1. Company Snapshot
14.1.2. Business Overview
14.1.3. Financial Overview
14.1.3.1. Revenue (USD Billion), 2023
14.1.3.2. Ag Leader Technology 2023 AI in Agriculture Business Regional Distribution
14.1.4. Product /Service and Specification
14.1.5. Recent Developments & Business Strategy
14.2. A.A.A Taranis Visual Ltd.
14.3. AgEagle Aerial Systems Inc.
14.4. Deere & Company
14.5. Bayer AG
14.6. Wipro Limited
14.7. Gamaya
14.8. International Business Machines Corporation
14.9. Granular Inc. (DuPont de Nemours, Inc.)
14.10. Raven Industries Inc.
14.11. Oracle Corporation
14.12. Trimble Inc.
The AI in agriculture market size was USD 1.7 Billion in 2023.
The CAGR of AI in agriculture is 22.8% during the analysis period of 2024 to 2032.
The key players operating in the global market are including Ag Leader Technology, A.A.A Taranis Visual Ltd., AgEagle Aerial Systems Inc., Deere & Company, Bayer AG, Wipro Limited, Gamaya, International Business Machines Corporation, Granular Inc. (DuPont de Nemours, Inc.), Raven Industries Inc., Oracle Corporation, and Trimble Inc.
North America held the dominating position in AI in agriculture industry during the analysis period of 2024 to 2032.
Asia-Pacific region exhibited fastest growing CAGR for market of AI in agriculture during the analysis period of 2024 to 2032.
The current trends and dynamics in the AI in agriculture industry include increasing demand for precision agriculture techniques, growing global population necessitating higher food production, and advancements in AI technologies like edge computing and IoT.
The predictive analytics technology held the maximum share of the AI in agriculture industry.
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