Agriculture & Forestry Industry Market News

Agricultural AI market forecast to 2025 just published

Agriculture Market Research

This research report points out latest trends dominating the Global Agricultural AI Market.

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.

 The report also examines successful industry case studies, allowing clients to understand how players have sought to capitalize on the emerging trends in the Agricultural AI segment.

The Global Agricultural AI Industry report showcases the latest trends in the global and regional markets on all critical parameters which include technology, supplies, capacity, production, profit, price, and competition.

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Key players functioning within the global Agricultural AI market have been included in this report. Parameters such as company size, technology trends, competitive status, and new entrants have been provided for the below-listed companies.

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.

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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.

 Major Points from Tables of Content:

Chapter One: Industry Overview of Agricultural AI
Chapter Two: Global Agricultural AI Competition Analysis by Players
Chapter Three: Company (Top Players) Profiles
Chapter Four: Global Agricultural AI Market Size by Type and Application (2013-2018)
Chapter Five: United States Agricultural AI Development Status and Outlook
Chapter Six: EU Agricultural AI Development Status and Outlook
Chapter Seven: Japan Agricultural AI Development Status and Outlook
Chapter Eight: China Agricultural AI Development Status and Outlook
Chapter Nine: India Agricultural AI Development Status and Outlook
Chapter Ten: Southeast Asia Agricultural AI Development Status and Outlook
Chapter Eleven: Market Forecast by Regions, Type and Application (2018-2025)
Chapter Twelve: Agricultural AI Market Dynamics
Chapter Thirteen: Market Effect Factors Analysis
Chapter Fourteen: Research Finding/Conclusion
Chapter Fifteen: Appendix

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