Global Artificial Intelligence AI in Agriculture Market Research Report 2025(Status and Outlook)
Description
Report Overview
The market for Artificial Intelligence (AI) in agriculture involves the application of advanced technologies such as machine learning, computer vision, and robotics to optimize farming processes, enhance productivity, and improve sustainability. AI-driven solutions in agriculture include precision farming tools, automated irrigation systems, crop monitoring via drones and satellite imagery, predictive analytics for yield forecasting, and livestock health monitoring. These technologies help farmers make data-driven decisions, reduce resource wastage, and mitigate risks associated with climate variability and pest infestations. The adoption of AI in agriculture is driven by the increasing global demand for food security, labor shortages, and the need for sustainable farming practices. Governments and private enterprises are investing heavily in agri-tech innovations to boost efficiency, making AI a transformative force in modernizing the agricultural sector. Key players range from tech startups to established agribusiness firms, all competing to develop scalable and cost-effective AI solutions tailored to diverse farming needs.
The global Artificial Intelligence AI in Agriculture market size was estimated at USD 917.54 million in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 16.56% during the forecast period.
This report provides a deep insight into the global Artificial Intelligence AI in Agriculture market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Artificial Intelligence AI in Agriculture Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Artificial Intelligence AI in Agriculture market in any manner.
Global Artificial Intelligence AI in Agriculture Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Market Segmentation (by Type)
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI)
Market Segmentation (by Application)
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Artificial Intelligence AI in Agriculture Market
Overview of the regional outlook of the Artificial Intelligence AI in Agriculture Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the Artificial Intelligence AI in Agriculture Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of Artificial Intelligence AI in Agriculture, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
The market for Artificial Intelligence (AI) in agriculture involves the application of advanced technologies such as machine learning, computer vision, and robotics to optimize farming processes, enhance productivity, and improve sustainability. AI-driven solutions in agriculture include precision farming tools, automated irrigation systems, crop monitoring via drones and satellite imagery, predictive analytics for yield forecasting, and livestock health monitoring. These technologies help farmers make data-driven decisions, reduce resource wastage, and mitigate risks associated with climate variability and pest infestations. The adoption of AI in agriculture is driven by the increasing global demand for food security, labor shortages, and the need for sustainable farming practices. Governments and private enterprises are investing heavily in agri-tech innovations to boost efficiency, making AI a transformative force in modernizing the agricultural sector. Key players range from tech startups to established agribusiness firms, all competing to develop scalable and cost-effective AI solutions tailored to diverse farming needs.
The global Artificial Intelligence AI in Agriculture market size was estimated at USD 917.54 million in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 16.56% during the forecast period.
This report provides a deep insight into the global Artificial Intelligence AI in Agriculture market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Artificial Intelligence AI in Agriculture Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Artificial Intelligence AI in Agriculture market in any manner.
Global Artificial Intelligence AI in Agriculture Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Market Segmentation (by Type)
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI)
Market Segmentation (by Application)
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Artificial Intelligence AI in Agriculture Market
Overview of the regional outlook of the Artificial Intelligence AI in Agriculture Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the Artificial Intelligence AI in Agriculture Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of Artificial Intelligence AI in Agriculture, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Table of Contents
132 Pages
- 1 Research Methodology And Statistical Scope
- 1.1 Market Definition And Statistical Scope Of Artificial Intelligence Ai In Agriculture
- 1.2 Key Market Segments
- 1.2.1 Artificial Intelligence Ai In Agriculture Segment By Type
- 1.2.2 Artificial Intelligence Ai In Agriculture Segment By Application
- 1.3 Methodology & Sources Of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown And Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 Artificial Intelligence Ai In Agriculture Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size By Region
- 3 Artificial Intelligence Ai In Agriculture Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global Artificial Intelligence Ai In Agriculture Product Life Cycle
- 3.3 Global Artificial Intelligence Ai In Agriculture Revenue Market Share By Company (2020-2025)
- 3.4 Artificial Intelligence Ai In Agriculture Market Share By Company Type (Tier 1, Tier 2, And Tier 3)
- 3.5 Artificial Intelligence Ai In Agriculture Company Headquarters, Area Served, Product Type
- 3.6 Artificial Intelligence Ai In Agriculture Market Competitive Situation And Trends
- 3.6.1 Artificial Intelligence Ai In Agriculture Market Concentration Rate
- 3.6.2 Global 5 And 10 Largest Artificial Intelligence Ai In Agriculture Players Market Share By Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 Artificial Intelligence Ai In Agriculture Value Chain Analysis
- 4.1 Artificial Intelligence Ai In Agriculture Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development And Dynamics Of Artificial Intelligence Ai In Agriculture Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Industry News
- 5.4.1 New Product Developments
- 5.4.2 Mergers & Acquisitions
- 5.4.3 Expansions
- 5.4.4 Collaboration/Supply Contracts
- 5.5 Pest Analysis
- 5.5.1 Industry Policies Analysis
- 5.5.2 Economic Environment Analysis
- 5.5.3 Social Environment Analysis
- 5.5.4 Technological Environment Analysis
- 5.6 Global Artificial Intelligence Ai In Agriculture Market Porter's Five Forces Analysis
- 6 Artificial Intelligence Ai In Agriculture Market Segmentation By Type
- 6.1 Evaluation Matrix Of Segment Market Development Potential (Type)
- 6.2 Global Artificial Intelligence Ai In Agriculture Market Size Market Share By Type (2020-2025)
- 6.3 Global Artificial Intelligence Ai In Agriculture Market Size Growth Rate By Type (2021-2025)
- 7 Artificial Intelligence Ai In Agriculture Market Segmentation By Application
- 7.1 Evaluation Matrix Of Segment Market Development Potential (Application)
- 7.2 Global Artificial Intelligence Ai In Agriculture Market Size (M Usd) By Application (2020-2025)
- 7.3 Global Artificial Intelligence Ai In Agriculture Sales Growth Rate By Application (2020-2025)
- 8 Artificial Intelligence Ai In Agriculture Market Segmentation By Region
- 8.1 Global Artificial Intelligence Ai In Agriculture Market Size By Region
- 8.1.1 Global Artificial Intelligence Ai In Agriculture Market Size By Region
- 8.1.2 Global Artificial Intelligence Ai In Agriculture Market Size Market Share By Region
- 8.2 North America
- 8.2.1 North America Artificial Intelligence Ai In Agriculture Market Size By Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe Artificial Intelligence Ai In Agriculture Market Size By Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Spain
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific Artificial Intelligence Ai In Agriculture Market Size By Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America Artificial Intelligence Ai In Agriculture Market Size By Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East And Africa
- 8.6.1 Middle East And Africa Artificial Intelligence Ai In Agriculture Market Size By Region
- 8.6.2 Saudi Arabia
- 8.6.3 Uae
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 Ibm
- 9.1.1 Ibm Basic Information
- 9.1.2 Ibm Artificial Intelligence Ai In Agriculture Product Overview
- 9.1.3 Ibm Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.1.4 Ibm Swot Analysis
- 9.1.5 Ibm Business Overview
- 9.1.6 Ibm Recent Developments
- 9.2 Intel
- 9.2.1 Intel Basic Information
- 9.2.2 Intel Artificial Intelligence Ai In Agriculture Product Overview
- 9.2.3 Intel Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.2.4 Intel Swot Analysis
- 9.2.5 Intel Business Overview
- 9.2.6 Intel Recent Developments
- 9.3 Microsoft
- 9.3.1 Microsoft Basic Information
- 9.3.2 Microsoft Artificial Intelligence Ai In Agriculture Product Overview
- 9.3.3 Microsoft Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.3.4 Microsoft Swot Analysis
- 9.3.5 Microsoft Business Overview
- 9.3.6 Microsoft Recent Developments
- 9.4 Sap
- 9.4.1 Sap Basic Information
- 9.4.2 Sap Artificial Intelligence Ai In Agriculture Product Overview
- 9.4.3 Sap Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.4.4 Sap Business Overview
- 9.4.5 Sap Recent Developments
- 9.5 Agribotix
- 9.5.1 Agribotix Basic Information
- 9.5.2 Agribotix Artificial Intelligence Ai In Agriculture Product Overview
- 9.5.3 Agribotix Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.5.4 Agribotix Business Overview
- 9.5.5 Agribotix Recent Developments
- 9.6 The Climate Corporation
- 9.6.1 The Climate Corporation Basic Information
- 9.6.2 The Climate Corporation Artificial Intelligence Ai In Agriculture Product Overview
- 9.6.3 The Climate Corporation Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.6.4 The Climate Corporation Business Overview
- 9.6.5 The Climate Corporation Recent Developments
- 9.7 Mavrx
- 9.7.1 Mavrx Basic Information
- 9.7.2 Mavrx Artificial Intelligence Ai In Agriculture Product Overview
- 9.7.3 Mavrx Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.7.4 Mavrx Business Overview
- 9.7.5 Mavrx Recent Developments
- 9.8 Awhere
- 9.8.1 Awhere Basic Information
- 9.8.2 Awhere Artificial Intelligence Ai In Agriculture Product Overview
- 9.8.3 Awhere Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.8.4 Awhere Business Overview
- 9.8.5 Awhere Recent Developments
- 9.9 Precision Hawk
- 9.9.1 Precision Hawk Basic Information
- 9.9.2 Precision Hawk Artificial Intelligence Ai In Agriculture Product Overview
- 9.9.3 Precision Hawk Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.9.4 Precision Hawk Business Overview
- 9.9.5 Precision Hawk Recent Developments
- 9.10 Granular
- 9.10.1 Granular Basic Information
- 9.10.2 Granular Artificial Intelligence Ai In Agriculture Product Overview
- 9.10.3 Granular Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.10.4 Granular Business Overview
- 9.10.5 Granular Recent Developments
- 9.11 Prospera Technologies
- 9.11.1 Prospera Technologies Basic Information
- 9.11.2 Prospera Technologies Artificial Intelligence Ai In Agriculture Product Overview
- 9.11.3 Prospera Technologies Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.11.4 Prospera Technologies Business Overview
- 9.11.5 Prospera Technologies Recent Developments
- 9.12 Spensa Technologies
- 9.12.1 Spensa Technologies Basic Information
- 9.12.2 Spensa Technologies Artificial Intelligence Ai In Agriculture Product Overview
- 9.12.3 Spensa Technologies Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.12.4 Spensa Technologies Business Overview
- 9.12.5 Spensa Technologies Recent Developments
- 9.13 Resson
- 9.13.1 Resson Basic Information
- 9.13.2 Resson Artificial Intelligence Ai In Agriculture Product Overview
- 9.13.3 Resson Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.13.4 Resson Business Overview
- 9.13.5 Resson Recent Developments
- 9.14 Vision Robotics
- 9.14.1 Vision Robotics Basic Information
- 9.14.2 Vision Robotics Artificial Intelligence Ai In Agriculture Product Overview
- 9.14.3 Vision Robotics Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.14.4 Vision Robotics Business Overview
- 9.14.5 Vision Robotics Recent Developments
- 9.15 Harvest Croo Robotics
- 9.15.1 Harvest Croo Robotics Basic Information
- 9.15.2 Harvest Croo Robotics Artificial Intelligence Ai In Agriculture Product Overview
- 9.15.3 Harvest Croo Robotics Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.15.4 Harvest Croo Robotics Business Overview
- 9.15.5 Harvest Croo Robotics Recent Developments
- 9.16 Cropx
- 9.16.1 Cropx Basic Information
- 9.16.2 Cropx Artificial Intelligence Ai In Agriculture Product Overview
- 9.16.3 Cropx Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.16.4 Cropx Business Overview
- 9.16.5 Cropx Recent Developments
- 9.17 John Deere
- 9.17.1 John Deere Basic Information
- 9.17.2 John Deere Artificial Intelligence Ai In Agriculture Product Overview
- 9.17.3 John Deere Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.17.4 John Deere Business Overview
- 9.17.5 John Deere Recent Developments
- 9.18 Gamaya
- 9.18.1 Gamaya Basic Information
- 9.18.2 Gamaya Artificial Intelligence Ai In Agriculture Product Overview
- 9.18.3 Gamaya Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.18.4 Gamaya Business Overview
- 9.18.5 Gamaya Recent Developments
- 9.19 Cainthus
- 9.19.1 Cainthus Basic Information
- 9.19.2 Cainthus Artificial Intelligence Ai In Agriculture Product Overview
- 9.19.3 Cainthus Artificial Intelligence Ai In Agriculture Product Market Performance
- 9.19.4 Cainthus Business Overview
- 9.19.5 Cainthus Recent Developments
- 10 Artificial Intelligence Ai In Agriculture Market Forecast By Region
- 10.1 Global Artificial Intelligence Ai In Agriculture Market Size Forecast
- 10.2 Global Artificial Intelligence Ai In Agriculture Market Forecast By Region
- 10.2.1 North America Market Size Forecast By Country
- 10.2.2 Europe Artificial Intelligence Ai In Agriculture Market Size Forecast By Country
- 10.2.3 Asia Pacific Artificial Intelligence Ai In Agriculture Market Size Forecast By Region
- 10.2.4 South America Artificial Intelligence Ai In Agriculture Market Size Forecast By Country
- 10.2.5 Middle East And Africa Forecasted Sales Of Artificial Intelligence Ai In Agriculture By Country
- 11 Forecast Market By Type And By Application (2026-2033)
- 11.1 Global Artificial Intelligence Ai In Agriculture Market Forecast By Type (2026-2033)
- 11.2 Global Artificial Intelligence Ai In Agriculture Market Forecast By Application (2026-2033)
- 12 Conclusion And Key Findings
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