Global Artificial Intelligence (AI) in Agriculture Market Overview:
Global Artificial Intelligence (AI) in Agriculture Market Is Expected to Grow at A Significant Growth Rate, And the Forecast Period Is 2025-2032, Considering the Base Year As 2024.
Global Artificial Intelligence (AI) in Agriculture Market Report 2025 comes with the extensive industry analysis with development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2025-2032.This research study of Artificial Intelligence (AI) in Agriculture involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Artificial Intelligence (AI) in Agriculture Market:
The Artificial Intelligence (AI) in Agriculture Market Research report incorporates value chain analysis for each of the product type. Value chain analysis offers in-depth information about value addition at each stage.The study includes drivers and restraints for Artificial Intelligence (AI) in Agriculture Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Artificial Intelligence (AI) in Agriculture Market helps user to make precise decision in order to expand their market presence and increase market share.
By Type, Artificial Intelligence (AI) in Agriculture market has been segmented into:
Software
Hardware
AI-as-a-Service
Services
By Application, Artificial Intelligence (AI) in Agriculture market has been segmented into:
Machine Learning
Computer Vision
Predictive Analytics
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence (AI) in Agriculture market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence (AI) in Agriculture market.
Top Key Players Covered in Artificial Intelligence (AI) in Agriculture market are:
AgEagle Aerial Systems
aWhere Inc.
Autonomous Tractor Corporation
Cainthus
Connecterra
Cropx Technologies
Deere & Company (John Deere)
Descartes Labs Inc.
ec2ce
Farmbot
Farmers Edge Inc.
Gamaya
Harvest Croo
International Business Machines Corp. (IBM)
Microsoft Corporation
Peat
Precision Hawk
Resson
The Climate Corporation
Trace Genomics
Tule Technologies
Vineview
Vision Robotics
Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Industry Dynamics and Opportunity Analysis
3.1.1 Growth Drivers
3.1.2 Limiting Factors
3.1.3 Growth Opportunities
3.1.4 Challenges and Risks
3.2 Market Trend Analysis
3.3 Strategic Pestle Overview
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Mapping
3.6 Regulatory Framework
3.7 Princing Trend Analysis
3.8 Patent Analysis
3.9 Technology Evolution
3.10 Investment Pockets
3.11 Import-Export Analysis
Chapter 4: Artificial Intelligence (AI) in Agriculture Market Type
4.1 Artificial Intelligence (AI) in Agriculture Market Snapshot and Growth Engine
4.2 Artificial Intelligence (AI) in Agriculture Market Overview
4.3 Software
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.3.3 Software: Geographic Segmentation Analysis
4.4 Hardware
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.4.3 Hardware: Geographic Segmentation Analysis
4.5 AI-as-a-Service
4.5.1 Introduction and Market Overview
4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.5.3 AI-as-a-Service: Geographic Segmentation Analysis
4.6 Services
4.6.1 Introduction and Market Overview
4.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.6.3 Services: Geographic Segmentation Analysis
Chapter 5: Artificial Intelligence (AI) in Agriculture Market Application
5.1 Artificial Intelligence (AI) in Agriculture Market Snapshot and Growth Engine
5.2 Artificial Intelligence (AI) in Agriculture Market Overview
5.3 Machine Learning
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.3.3 Machine Learning: Geographic Segmentation Analysis
5.4 Computer Vision
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.4.3 Computer Vision: Geographic Segmentation Analysis
5.5 Predictive Analytics
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.5.3 Predictive Analytics: Geographic Segmentation Analysis
Chapter 6: Company Profiles and Competitive Analysis
6.1 Competitive Landscape
6.1.1 Competitive Benchmarking
6.1.2 Artificial Intelligence (AI) in Agriculture Market Share by Manufacturer (2025)
6.1.3 Concentration Ratio(CR5)
6.1.4 Heat Map Analysis
6.1.5 Mergers and Acquisitions
6.2 AGEAGLE AERIAL SYSTEMS
6.2.1 Company Overview
6.2.2 Key Executives
6.2.3 Company Snapshot
6.2.4 Operating Business Segments
6.2.5 Product Portfolio
6.2.6 Business Performance
6.2.7 Key Strategic Moves and Recent Developments
6.3 AWHERE INC.
6.4 AUTONOMOUS TRACTOR CORPORATION
6.5 CAINTHUS
6.6 CONNECTERRA
6.7 CROPX TECHNOLOGIES
6.8 DEERE & COMPANY (JOHN DEERE)
6.9 DESCARTES LABS INC.
6.10 EC2CE
6.11 FARMBOT
6.12 FARMERS EDGE INC.
6.13 GAMAYA
6.14 HARVEST CROO
6.15 INTERNATIONAL BUSINESS MACHINES CORP. (IBM)
6.16 MICROSOFT CORPORATION
6.17 PEAT
6.18 PRECISION HAWK
6.19 RESSON
6.20 THE CLIMATE CORPORATION
6.21 TRACE GENOMICS
6.22 TULE TECHNOLOGIES
6.23 VINEVIEW
6.24 VISION ROBOTICS
Chapter 7: Global Artificial Intelligence (AI) in Agriculture Market By Region
7.1 Overview
7.2. North America Artificial Intelligence (AI) in Agriculture Market
7.2.1 Historic and Forecasted Market Size by Segments
7.2.2 Historic and Forecasted Market Size By Type
7.2.2.1 Software
7.2.2.2 Hardware
7.2.2.3 AI-as-a-Service
7.2.2.4 Services
7.2.3 Historic and Forecasted Market Size By Application
7.2.3.1 Machine Learning
7.2.3.2 Computer Vision
7.2.3.3 Predictive Analytics
7.2.4 Historic and Forecast Market Size by Country
7.2.4.1 US
7.2.4.2 Canada
7.2.4.3 Mexico
7.3. Eastern Europe Artificial Intelligence (AI) in Agriculture Market
7.3.1 Historic and Forecasted Market Size by Segments
7.3.2 Historic and Forecasted Market Size By Type
7.3.2.1 Software
7.3.2.2 Hardware
7.3.2.3 AI-as-a-Service
7.3.2.4 Services
7.3.3 Historic and Forecasted Market Size By Application
7.3.3.1 Machine Learning
7.3.3.2 Computer Vision
7.3.3.3 Predictive Analytics
7.3.4 Historic and Forecast Market Size by Country
7.3.4.1 Russia
7.3.4.2 Bulgaria
7.3.4.3 The Czech Republic
7.3.4.4 Hungary
7.3.4.5 Poland
7.3.4.6 Romania
7.3.4.7 Rest of Eastern Europe
7.4. Western Europe Artificial Intelligence (AI) in Agriculture Market
7.4.1 Historic and Forecasted Market Size by Segments
7.4.2 Historic and Forecasted Market Size By Type
7.4.2.1 Software
7.4.2.2 Hardware
7.4.2.3 AI-as-a-Service
7.4.2.4 Services
7.4.3 Historic and Forecasted Market Size By Application
7.4.3.1 Machine Learning
7.4.3.2 Computer Vision
7.4.3.3 Predictive Analytics
7.4.4 Historic and Forecast Market Size by Country
7.4.4.1 Germany
7.4.4.2 UK
7.4.4.3 France
7.4.4.4 The Netherlands
7.4.4.5 Italy
7.4.4.6 Spain
7.4.4.7 Rest of Western Europe
7.5. Asia Pacific Artificial Intelligence (AI) in Agriculture Market
7.5.1 Historic and Forecasted Market Size by Segments
7.5.2 Historic and Forecasted Market Size By Type
7.5.2.1 Software
7.5.2.2 Hardware
7.5.2.3 AI-as-a-Service
7.5.2.4 Services
7.5.3 Historic and Forecasted Market Size By Application
7.5.3.1 Machine Learning
7.5.3.2 Computer Vision
7.5.3.3 Predictive Analytics
7.5.4 Historic and Forecast Market Size by Country
7.5.4.1 China
7.5.4.2 India
7.5.4.3 Japan
7.5.4.4 South Korea
7.5.4.5 Malaysia
7.5.4.6 Thailand
7.5.4.7 Vietnam
7.5.4.8 The Philippines
7.5.4.9 Australia
7.5.4.10 New Zealand
7.5.4.11 Rest of APAC
7.6. Middle East & Africa Artificial Intelligence (AI) in Agriculture Market
7.6.1 Historic and Forecasted Market Size by Segments
7.6.2 Historic and Forecasted Market Size By Type
7.6.2.1 Software
7.6.2.2 Hardware
7.6.2.3 AI-as-a-Service
7.6.2.4 Services
7.6.3 Historic and Forecasted Market Size By Application
7.6.3.1 Machine Learning
7.6.3.2 Computer Vision
7.6.3.3 Predictive Analytics
7.6.4 Historic and Forecast Market Size by Country
7.6.4.1 Turkiye
7.6.4.2 Bahrain
7.6.4.3 Kuwait
7.6.4.4 Saudi Arabia
7.6.4.5 Qatar
7.6.4.6 UAE
7.6.4.7 Israel
7.6.4.8 South Africa
7.7. South America Artificial Intelligence (AI) in Agriculture Market
7.7.1 Historic and Forecasted Market Size by Segments
7.7.2 Historic and Forecasted Market Size By Type
7.7.2.1 Software
7.7.2.2 Hardware
7.7.2.3 AI-as-a-Service
7.7.2.4 Services
7.7.3 Historic and Forecasted Market Size By Application
7.7.3.1 Machine Learning
7.7.3.2 Computer Vision
7.7.3.3 Predictive Analytics
7.7.4 Historic and Forecast Market Size by Country
7.7.4.1 Brazil
7.7.4.2 Argentina
7.7.4.3 Rest of SA
Chapter 8 Analyst Viewpoint and Conclusion
8.1 Recommendations and Concluding Analysis
8.2 Potential Market Strategies
Chapter 9 Research Methodology
9.1 Research Process
9.2 Primary Research
9.3 Secondary Research
Artificial Intelligence (AI) in Agriculture Scope:
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Report Data
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Artificial Intelligence (AI) in Agriculture Market
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Artificial Intelligence (AI) in Agriculture Market Size in 2025
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USD XX million
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Artificial Intelligence (AI) in Agriculture CAGR 2025 - 2032
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XX%
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Artificial Intelligence (AI) in Agriculture Base Year
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2024
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Artificial Intelligence (AI) in Agriculture Forecast Data
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2025 - 2032
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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AgEagle Aerial Systems, aWhere Inc., Autonomous Tractor Corporation, Cainthus, Connecterra, Cropx Technologies, Deere & Company (John Deere), Descartes Labs Inc., ec2ce, Farmbot, Farmers Edge Inc., Gamaya, Harvest Croo, International Business Machines Corp. (IBM), Microsoft Corporation, Peat, Precision Hawk, Resson, The Climate Corporation, Trace Genomics, Tule Technologies, Vineview, Vision Robotics.
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Key Segments
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By Type
Software
Hardware
AI-as-a-Service
Services
By Applications
Machine Learning
Computer Vision
Predictive Analytics
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