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This report studies the global Agricultural AI market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Agricultural AI market by companies, region, type and end-use industry.
This report focuses on the global top players, covered
IBM
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2ce
Precision Hawk
Skysquirrel Technologies
Cainthus
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Market segment by Type, the product can be split into
Machine Learning
Computer Vision
Predictive Analytics
Market segment by Application, Agricultural AI can be split into
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
The study objectives of this report are:
To study and forecast the market size of Agricultural AI in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.
In this study, the years considered to estimate the market size of Agricultural AI are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Key Stakeholders
Agricultural AI Manufacturers
Agricultural AI Distributors/Traders/Wholesalers
Agricultural AI Subcomponent Manufacturers
Industry Association
Downstream Vendors
Available Customizations
With the given market data, QYResearch offers customizations according to the company's specific needs. The following customization options are available for the report:
Regional and country-level analysis of the Agricultural AI market, by end-use.
Detailed analysis and profiles of additional market players.
This report focuses on the global top players, covered
IBM
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2ce
Precision Hawk
Skysquirrel Technologies
Cainthus
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Market segment by Type, the product can be split into
Machine Learning
Computer Vision
Predictive Analytics
Market segment by Application, Agricultural AI can be split into
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
The study objectives of this report are:
To study and forecast the market size of Agricultural AI in global market.
To analyze the global key players, SWOT analysis, value and global market share for top players.
To define, describe and forecast the market by type, end use and region.
To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.
To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends and factors driving or inhibiting the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
To strategically profile the key players and comprehensively analyze their growth strategies.
In this study, the years considered to estimate the market size of Agricultural AI are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Key Stakeholders
Agricultural AI Manufacturers
Agricultural AI Distributors/Traders/Wholesalers
Agricultural AI Subcomponent Manufacturers
Industry Association
Downstream Vendors
Available Customizations
With the given market data, QYResearch offers customizations according to the company's specific needs. The following customization options are available for the report:
Regional and country-level analysis of the Agricultural AI market, by end-use.
Detailed analysis and profiles of additional market players.
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
