Table of Contents
Chapter 1.Global AI in Agriculture Market Definition and Research Assumptions
1.1.Research Objective
1.2.Market Definition
1.3.Research Assumptions
1.3.1.Inclusion & Exclusion
1.3.2.Limitations
1.3.3.Supply Side Analysis
1.3.3.1.Availability
1.3.3.2.Infrastructure
1.3.3.3.Regulatory Environment
1.3.3.4.Market Competition
1.3.3.5.Economic Viability (Consumer's Perspective)
1.3.4.Demand Side Analysis
1.3.4.1.Regulatory frameworks
1.3.4.2.Technological Advancements
1.3.4.3.Environmental Considerations
1.3.4.4.Consumer Awareness & Acceptance
1.4.Estimation Methodology
1.5.Years Considered for the Study
1.6.Currency Conversion Rates
Chapter 2.Executive Summary
2.1.Global AI in Agriculture Market Size & Forecast (2022- 2032)
2.2.Regional Summary
2.3.Segmental Summary
2.3.1.By Application
2.3.2.By Deployment
2.4.Key Trends
2.5.Recession Impact
2.6.Analyst Recommendation & Conclusion
Chapter 3.Global AI in Agriculture Market Dynamics
3.1.Market Drivers
3.2.Market Challenges
3.3.Market Opportunities
Chapter 4.Global AI in Agriculture Market: Industry Analysis
4.1.Porter's 5 Force Model
4.1.1.Bargaining Power of Suppliers
4.1.2.Bargaining Power of Buyers
4.1.3.Threat of New Entrants
4.1.4.Threat of Substitutes
4.1.5.Competitive Rivalry
4.1.6.Futuristic Approach to Porter's 5 Force Model
4.1.7.Porter's 5 Force Impact Analysis
4.2.PESTEL Analysis
4.2.1.Political
4.2.2.Economic
4.2.3.Social
4.2.4.Technological
4.2.5.Environmental
4.2.6.Legal
4.3.Top investment opportunity
4.4.Top winning strategies
4.5.Disruptive Trends
4.6.Industry Expert Perspective
4.7.Analyst Recommendation & Conclusion
Chapter 5.Global AI in Agriculture Market Size & Forecasts by Application 2024-2032
5.1.Weather Tracking
5.2.Precision Farming
5.3.Drone Analytics
Chapter 6.Global AI in Agriculture Market Size & Forecasts by Deployment 2024-2032
6.1.Cloud
6.2.On-premise
6.3.Hybrid
Chapter 7.Global AI in Agriculture Market Size & Forecasts by Region 2024-2032
7.1.North America AI in Agriculture Market
7.1.1.U.S. AI in Agriculture Market
7.1.1.1.Application breakdown size & forecasts, 2024-2032
7.1.1.2.Deployment breakdown size & forecasts, 2024-2032
7.1.2.Canada AI in Agriculture Market
7.2.Europe AI in Agriculture Market
7.2.1.U.K. AI in Agriculture Market
7.2.2.Germany AI in Agriculture Market
7.2.3.France AI in Agriculture Market
7.2.4.Spain AI in Agriculture Market
7.2.5.Italy AI in Agriculture Market
7.2.6.Rest of Europe AI in Agriculture Market
7.3.Asia-Pacific AI in Agriculture Market
7.3.1.China AI in Agriculture Market
7.3.2.India AI in Agriculture Market
7.3.3.Japan AI in Agriculture Market
7.3.4.Australia AI in Agriculture Market
7.3.5.South Korea AI in Agriculture Market
7.3.6.Rest of Asia Pacific AI in Agriculture Market
7.4.Latin America AI in Agriculture Market
7.4.1.Brazil AI in Agriculture Market
7.4.2.Mexico AI in Agriculture Market
7.4.3.Rest of Latin America AI in Agriculture Market
7.5.Middle East & Africa AI in Agriculture Market
7.5.1. Saudi Arabia AI in Agriculture Market
7.5.2. South Africa AI in Agriculture Market
7.5.3.Rest of Middle East & Africa AI in Agriculture Market
Chapter 8.Competitive Intelligence
8.1.Key Company SWOT Analysis
8.2.Top Market Strategies
8.3.Company Profiles
8.3.1.Microsoft Corporation
8.3.1.1.Key Information
8.3.1.2.Overview
8.3.1.3.Financial (Subject to Data Availability)
8.3.1.4.Product Summary
8.3.1.5.Market Strategies
8.3.2.International Business Machines Corporation
8.3.3.Granular Inc
8.3.4.aWhere Inc
8.3.5.Prospera Technologies Ltd
8.3.6.Gamaya SA
8.3.7.Easytosee Agtech, SL
8.3.8.PrecisionHawk Inc
8.3.9.Cainthus Corp
8.3.10.Tule Technologies Inc
Chapter 9.Research Process
9.1.Research Process
9.1.1.Data Mining
9.1.2.Analysis
9.1.3.Market Estimation
9.1.4.Validation
9.1.5.Publishing
9.2.Research Attributes