Agricultural AI Market 2018: Global Industry Top Key Players (IBM, Deere & Company, Microsoft, Agribotix and The Climate Corporation)

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

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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.

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Table of Content

1 Industry Overview of Agricultural AI

1.1 Definition and Specifications of Agricultural AI

1.2 Classification of Agricultural AI

1.3 Applications of Agricultural AI

1.4 Market Segment by Regions

2 Manufacturing Cost Structure Analysis of Agricultural AI

2.1 Raw Material and Suppliers

2.2 Manufacturing Cost Structure Analysis of Agricultural AI

2.3 Manufacturing Process Analysis of Agricultural AI

2.4 Industry Chain Structure of Agricultural AI

3 Technical Data and Manufacturing Plants Analysis of Agricultural AI

3.1 Capacity and Commercial Production Date of Global Agricultural AI Major Manufacturers in 2017

3.2 Manufacturing Plants Distribution of Global Agricultural AI Major Manufacturers in 2017

3.3 R&D Status and Technology Source of Global Agricultural AI Major Manufacturers in 2017

3.4 Raw Materials Sources Analysis of Global Agricultural AI Major Manufacturers in 2017

4 Global Agricultural AI Overall Market Overview

4.1 2013-2018E Overall Market Analysis

4.2 Capacity Analysis

4.3 Sales Analysis

4.4 Sales Price Analysis

5 Agricultural AI Regional Market Analysis

5.1 North America Agricultural AI Market Analysis

5.2 China Agricultural AI Market Analysis

5.3 Europe Agricultural AI Market Analysis

6 Global 2013-2018E Agricultural AI Segment Market Analysis (by Type)

6.1 Global 2013-2018E Agricultural AI Sales by Type

6.2 Different Types of Agricultural AI Product Interview Price Analysis

6.3 Different Types of Agricultural AI Product Driving Factors Analysis

7 Global 2013-2018E Agricultural AI Segment Market Analysis (by Application)

7.1 Global 2013-2018E Agricultural AI Consumption by Application

7.2 Different Application of Agricultural AI Product Interview Price Analysis

7.3 Different Application of Agricultural AI Product Driving Factors Analysis

8 Major Manufacturers Analysis of Agricultural AI

8.1 Medtronic

8.2 Acelity

8.3 Davol (Bard)

8.4 Aspen Surgica(Hill-Rom)

8.5 CSL Behring

8.6 CryoLife



8.10 Henry Schein

9 Development Trend of Analysis of Agricultural AI Market

9.1 Global Agricultural AI Market Trend Analysis

9.2 Agricultural AI Regional Market Trend

9.3 Agricultural AI Market Trend (Product Type)

9.4 Agricultural AI Market Trend (Application)

10 Agricultural AI Marketing Type Analysis

10.1 Agricultural AI Regional Marketing Type Analysis

10.2 Agricultural AI International Trade Type Analysis

10.3 Traders or Distributors with Contact Information of Agricultural AI by Region

10.4 Agricultural AI Supply Chain Analysis

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