1. Research Framework
1.1. Research Objective
1.2. Product Overview
1.3. Market Segmentation
2. Executive Summary
3. Global AI in Agriculture Market Insights
3.1. Industry Value Chain Analysis
3.2. DROC Analysis
3.2.1. Growth Drivers
3.2.1.1. Growing demand for food production
3.2.1.2. Government initiatives and funding
3.2.1.3. Advancements in technology
3.2.2. Restraints
3.2.2.1. High initial investment
3.2.2.2. Limited technical expertise
3.2.2.3. Data privacy and security concerns
3.2.3. Opportunities
3.2.3.1. Expansion into emerging markets
3.2.3.2. Development of new ai applications for vertical farming, aquaculture, and livestock management.
3.2.3.3. Improved supply chain management
3.2.4. Challenges
3.2.4.1. Integration with existing systems
3.2.4.2. Regulatory and ethical issues
3.2.5. Technological Advancements/Recent Developments
3.3. Regulatory Framework
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 New Entrants
3.4.4. Threat of Substitutes
3.4.5. Intensity of Rivalry
4. Global AI in Agriculture Market: Marketing Strategies
5. Global AI in Agriculture Market: Pricing Analysis
6. Global AI in Agriculture Market: Geography Analysis
6.1. Global AI in Agriculture Market, Geographical Analysis, 2023
6.2. Global AI in Agriculture, Market Attractiveness Analysis, 2024-2030
7. Global AI in Agriculture Market Overview
7.1. Market Size & Forecast, 2019-2030
7.1.1. By Value (USD Billion)
7.2. Market Share and Forecast
7.2.1. By Offerings
7.2.1.1. Hardware
7.2.1.2. Software
7.2.1.3. AI-as-a-Service (AIaaS)
7.2.1.4. Service
7.2.2. By Technology
7.2.2.1. Machine Learning
7.2.2.2. Computer Vision
7.2.2.3. Predictive Analytics
7.2.2.4. Natural Language Processing (NLP)
7.2.3. By Deployment
7.2.3.1. Cloud
7.2.3.2. On-Premises
7.2.3.3. Hybrid
7.2.4. By Applications
7.2.4.1. Precision Farming
7.2.4.2. Livestock Monitoring
7.2.4.3. Drone Analytics
7.2.4.4. Agriculture Robots
7.2.4.5. Labor Management
7.2.4.6. Crop Management
7.2.4.7. Irrigation Management
7.2.4.8. Others
7.2.5. By End User
7.2.5.1. Farmers/Growers
7.2.5.2. Agriculture Cooperatives
7.2.5.3. Food Processing Companies
7.2.5.4. Others
7.2.6. By Region
7.2.6.1. North America
7.2.6.2. Europe
7.2.6.3. Asia Pacific (APAC)
7.2.6.4. Latin America (LATAM)
7.2.6.5. Middle East and Africa (MEA)
8. North America AI in Agriculture Market
8.1. Market Size & Forecast, 2019-2030
8.1.1. By Value (USD Billion)
8.2. Market Share & Forecast
8.2.1. By Offerings
8.2.2. By Technology
8.2.3. By Deployment
8.2.4. By Applications
8.2.5. By End User
8.2.6. By Country
8.2.6.1. United States
8.2.6.1.1. By Offerings
8.2.6.1.2. By Technology
8.2.6.1.3. By Deployment
8.2.6.1.4. By Applications
8.2.6.1.5. By End User
8.2.6.2. Canada
8.2.6.2.1. By Offerings
8.2.6.2.2. By Technology
8.2.6.2.3. By Deployment
8.2.6.2.4. By Applications
8.2.6.2.5. By End User
9. Europe AI in Agriculture Market
9.1. Market Size & Forecast, 2019-2030
9.1.1. By Value (USD Billion)
9.2. Market Share & Forecast
9.2.1. By Offerings
9.2.2. By Technology
9.2.3. By Deployment
9.2.4. By Applications
9.2.5. By End User
9.2.6. By Country
9.2.6.1. Germany
9.2.6.1.1. By Offerings
9.2.6.1.2. By Technology
9.2.6.1.3. By Deployment
9.2.6.1.4. By Applications
9.2.6.1.5. By End User
9.2.6.2. United Kingdom
9.2.6.2.1. By Offerings
9.2.6.2.2. By Technology
9.2.6.2.3. By Deployment
9.2.6.2.4. By Applications
9.2.6.2.5. By End User
9.2.6.3. Italy
9.2.6.3.1. By Offerings
9.2.6.3.2. By Technology
9.2.6.3.3. By Deployment
9.2.6.3.4. By Applications
9.2.6.3.5. By End User
9.2.6.4. France
9.2.6.4.1. By Offerings
9.2.6.4.2. By Technology
9.2.6.4.3. By Deployment
9.2.6.4.4. By Applications
9.2.6.4.5. By End User
9.2.6.5. Spain
9.2.6.5.1. By Offerings
9.2.6.5.2. By Technology
9.2.6.5.3. By Deployment
9.2.6.5.4. By Applications
9.2.6.5.5. By End User
9.2.6.6. Belgium
9.2.6.6.1. By Offerings
9.2.6.6.2. By Technology
9.2.6.6.3. By Deployment
9.2.6.6.4. By Applications
9.2.6.6.5. By End User
9.2.6.7. Russia
9.2.6.7.1. By Offerings
9.2.6.7.2. By Technology
9.2.6.7.3. By Deployment
9.2.6.7.4. By Applications
9.2.6.7.5. By End User
9.2.6.8. The Netherlands
9.2.6.8.1. By Offerings
9.2.6.8.2. By Technology
9.2.6.8.3. By Deployment
9.2.6.8.4. By Applications
9.2.6.8.5. By End User
9.2.6.9. Rest of Europe
9.2.6.9.1. By Offerings
9.2.6.9.2. By Technology
9.2.6.9.3. By Deployment
9.2.6.9.4. By Applications
9.2.6.9.5. By End User
10. Asia Pacific AI in Agriculture Market
10.1. Market Size & Forecast, 2019-2030
10.1.1. By Value (USD Billion)
10.2. Market Share & Forecast
10.2.1. By Offerings
10.2.2. By Technology
10.2.3. By Deployment
10.2.4. By Applications
10.2.5. By End User
10.2.6. By Country
10.2.6.1. China
10.2.6.1.1. By Offerings
10.2.6.1.2. By Technology
10.2.6.1.3. By Deployment
10.2.6.1.4. By Applications
10.2.6.1.5. By End User
10.2.6.2. India
10.2.6.2.1. By Offerings
10.2.6.2.2. By Technology
10.2.6.2.3. By Deployment
10.2.6.2.4. By Applications
10.2.6.2.5. By End User
10.2.6.3. Japan
10.2.6.3.1. By Offerings
10.2.6.3.2. By Technology
10.2.6.3.3. By Deployment
10.2.6.3.4. By Applications
10.2.6.3.5. By End User
10.2.6.4. South Korea
10.2.6.4.1. By Offerings
10.2.6.4.2. By Technology
10.2.6.4.3. By Deployment
10.2.6.4.4. By Applications
10.2.6.4.5. By End User
10.2.6.5. Australia & New Zealand
10.2.6.5.1. By Offerings
10.2.6.5.2. By Technology
10.2.6.5.3. By Deployment
10.2.6.5.4. By Applications
10.2.6.5.5. By End User
10.2.6.6. Indonesia
10.2.6.6.1. By Offerings
10.2.6.6.2. By Technology
10.2.6.6.3. By Deployment
10.2.6.6.4. By Applications
10.2.6.6.5. By End User
10.2.6.7. Malaysia
10.2.6.7.1. By Offerings
10.2.6.7.2. By Technology
10.2.6.7.3. By Deployment
10.2.6.7.4. By Applications
10.2.6.7.5. By End User
10.2.6.8. Singapore
10.2.6.8.1. By Offerings
10.2.6.8.2. By Technology
10.2.6.8.3. By Deployment
10.2.6.8.4. By Applications
10.2.6.8.5. By End User
10.2.6.9. Vietnam
10.2.6.9.1. By Offerings
10.2.6.9.2. By Technology
10.2.6.9.3. By Deployment
10.2.6.9.4. By Applications
10.2.6.9.5. By End User
10.2.6.10. Rest of APAC
10.2.6.10.1. By Offerings
10.2.6.10.2. By Technology
10.2.6.10.3. By Deployment
10.2.6.10.4. By Applications
10.2.6.10.5. By End User
11. Latin America AI in Agriculture Market
11.1. Market Size & Forecast, 2019-2030
11.1.1. By Value (USD Billion)
11.2. Market Share & Forecast
11.2.1.1. By Offerings
11.2.1.2. By Technology
11.2.1.3. By Deployment
11.2.1.4. By Applications
11.2.1.5. By End User
11.2.2. By Country
11.2.2.1. Brazil
11.2.2.1.1. By Offerings
11.2.2.1.2. By Technology
11.2.2.1.3. By Deployment
11.2.2.1.4. By Applications
11.2.2.1.5. By End User
11.2.2.2. Mexico
11.2.2.2.1. By Offerings
11.2.2.2.2. By Technology
11.2.2.2.3. By Deployment
11.2.2.2.4. By Applications
11.2.2.2.5. By End User
11.2.2.3. Argentina
11.2.2.3.1. By Offerings
11.2.2.3.2. By Technology
11.2.2.3.3. By Deployment
11.2.2.3.4. By Applications
11.2.2.3.5. By End User
11.2.2.4. Peru
11.2.2.4.1. By Offerings
11.2.2.4.2. By Technology
11.2.2.4.3. By Deployment
11.2.2.4.4. By Applications
11.2.2.4.5. By End User
11.2.2.5. Rest of LATAM
11.2.2.5.1. By Offerings
11.2.2.5.2. By Technology
11.2.2.5.3. By Deployment
11.2.2.5.4. By Applications
11.2.2.5.5. By End User
12. Middle East & Africa AI in Agriculture Market
12.1. Market Size & Forecast, 2019-2030
12.1.1. By Value (USD Billion)
12.2. Market Share & Forecast
12.2.1. By Offerings
12.2.2. By Technology
12.2.3. By Deployment
12.2.4. By Applications
12.2.5. By End User
12.2.6. By Country
12.2.6.1. Saudi Arabia
12.2.6.1.1. By Offerings
12.2.6.1.2. By Technology
12.2.6.1.3. By Deployment
12.2.6.1.4. By Applications
12.2.6.1.5. By End User
12.2.6.2. UAE
12.2.6.2.1. By Offerings
12.2.6.2.2. By Technology
12.2.6.2.3. By Deployment
12.2.6.2.4. By Applications
12.2.6.2.5. By End User
12.2.6.3. Qatar
12.2.6.3.1. By Offerings
12.2.6.3.2. By Technology
12.2.6.3.3. By Deployment
12.2.6.3.4. By Applications
12.2.6.3.5. By End User
12.2.6.4. Kuwait
12.2.6.4.1. By Offerings
12.2.6.4.2. By Technology
12.2.6.4.3. By Deployment
12.2.6.4.4. By Applications
12.2.6.4.5. By End User
12.2.6.5. South Africa
12.2.6.5.1. By Offerings
12.2.6.5.2. By Technology
12.2.6.5.3. By Deployment
12.2.6.5.4. By Applications
12.2.6.5.5. By End User
12.2.6.6. Nigeria
12.2.6.6.1. By Offerings
12.2.6.6.2. By Technology
12.2.6.6.3. By Deployment
12.2.6.6.4. By Applications
12.2.6.6.5. By End User
12.2.6.7. Algeria
12.2.6.7.1. By Offerings
12.2.6.7.2. By Technology
12.2.6.7.3. By Deployment
12.2.6.7.4. By Applications
12.2.6.7.5. By End User
12.2.6.8. Rest of MEA
12.2.6.8.1. By Offerings
12.2.6.8.2. By Technology
12.2.6.8.3. By Deployment
12.2.6.8.4. By Applications
12.2.6.8.5. By End User
13. Competitive Landscape
13.1. List of Key Players and Their Applications
13.2. Global AI in Agriculture Company Market Share Analysis, 2023
13.3. Competitive Benchmarking, By Operating Parameters
13.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
14. Impact of Escalating Geopolitical Tensions on Global AI in Agriculture Market
15. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)
15.1. Microsoft Corporation
15.2. IBM Corporation
15.3. Granular Inc.
15.4. Prospera Technologies Ltd
15.5. Gamaya SA
15.6. ec2ce
15.7. PrecisionHawk Inc.
15.8. Cainthus Corp.
15.9. Tule Technologies Inc.
15.10. Deere & Company
15.11. AgEagle Aerial Systems Inc
15.12. Other Prominent Players
16. Key Strategic Recommendations
17. Research Methodology
17.1. Qualitative Research
17.1.1. Primary & Secondary Research
17.2. Quantitative Research
17.3. Market Breakdown & Data Triangulation
17.3.1. Secondary Research
17.3.2. Primary Research
17.4. Breakdown of Primary Research Respondents, By Region
17.5. Assumptions & Limitations
*Financial information of non-listed companies can be provided as per availability.
**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable