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Research focused on the Global artificial intelligence in agriculture market forecast to 2025

Agriculture Market Research

Artificial Intelligence in Agriculture Market Size, Segmentation, Strategy, Share, Growth Factors, Analysis and Forecast to 2017-2025

Global Artificial Intelligence in Agriculture Market industry valued approximately USD 432.2 million in 2016 is anticipated to grow with a healthy growth rate of more than 22.5% over the forecast period 2017-2025. The major factors driving the growth of the AI in Agriculture Market include the growing demand for Agriculture Production owing to the increasing population, rising adoption of Information Management System and new, advanced technologies for improving crop productivity.

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The objective of the study is to define market sizes of different segments & countries in previous years and to forecast the values to the next eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study.

Furthermore, the report also caters the detailed information about the crucial aspects such as drivers & restraining factors which will define the future growth of the market. Additionally, it will also incorporate the opportunities available in micro markets for stakeholders to invest, detailed analysis of competitive landscape and product offerings of key players.

The detailed segments and sub-segment of the market are explained below:

Predictive Analytics
Machine Learning
Computer Vision

Drone Analytics
Precision Farming
Livestock Monitoring
Agriculture Robots


North America, U.S., Canada, Europe, UK, Germany, Asia Pacific, China, India, Japan, Latin America, Brazil, Mexico, Rest of the World

Furthermore, the years considered for the study are as follows:
Historical year – 2015
Base year – 2016
Forecast period – 2017 to 2025

Some of the key manufacturers involved in the market are:

John Deere, IBM, Agribotix, Microsoft, The Climate Corporation, Prospera, Spensa Technologies, Resson, Vision Robotics. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers.

New product launches and focuses on continuous technology innovations are also strategies adopted by the major players. The companies are also trying to dominate the market by investing in research and development.

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Major Point from Table of Content:

Chapter 1. Research Methodology
Chapter 2. Global Artificial Intelligence in Agriculture Market Definition & Scope
Chapter 3. Executive Summary 
Chapter 4. Global Artificial Intelligence in Agriculture Industry Dynamics
Chapter 5. Global Artificial Intelligence in Agriculture Market by Technology
Chapter 6. Global Artificial Intelligence in Agriculture Market by Application
Chapter 7. Global Artificial Intelligence in Agriculture Market by Offering
Chapter 8. Global Artificial Intelligence in Agriculture Market, Regional Analysis
Chapter 9. Competitive Intelligence
9.1. Company Market Share (Subject to Data Availability)
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. IBM Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. John Deere
9.3.3. Agribotix
9.3.4. The Climate Corporation
9.3.5. Microsoft
9.3.6. Resson
9.3.7. Spensa Technologies
9.3.8. Vision Robotics
9.3.9. Prospera
9.3.10. Harvest Croo

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