Global Artificial Intelligence (AI) in Agriculture Market Professional Survey Report 2018

This report studies Artificial Intelligence (AI) in Agriculture in Global market, especially in North America, China, Europe, Southeast Asia, Japan and India, with production, revenue, consumption, import and export in these regions, from 2013 to 2018, and forecast to 2025.

This report focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering
IBM
John Deere
Microsoft
Agribotix
The Climate Corporation
ec2ce
Descartes Labs
Sky Squirrel Technologies
Mavrx
aWhere
Gamaya
Precision Hawk
Granular
Prospera
Cainthus
Spensa Technologies
Resson
FarmBot
Connecterra
Vision Robotics
Harvest Croo
Autonomous Tractor Corporation
Trace Genomics
Vine Rangers
CropX

On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
Machine Learning
Computer Vision
Predictive Analytics

By Application, the market can be split into
Precision Farming
Drone Analytics
Agriculture Robots
Livestock Monitoring
Other

By Regions, this report covers (we can add the regions/countries as you want)
North America
China
Europe
Southeast Asia
Japan
India

If you have any special requirements, please let us know and we will offer you the report as you want.


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.

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