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.

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:

Technology: Predictive Analytics, Machine Learning, Computer Vision                 

Application: Drone Analytics, Precision Farming, Livestock Monitoring, Agriculture Robots, Others                   

Offering: Software, Hardware, Service, AI-as-a-service

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

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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.

Target Audience of the Artificial Intelligence in Agriculture Market Study

 Key Consulting Companies & Advisors
 Large, medium-sized, and small enterprises
 Venture capitalists
 Value-Added Resellers (VARs)
 Third-party knowledge providers
 Investment bankers
 Investors

TABLE OF CONTENT

Chapter 1. Research Methodology

1.1. Research Process
1.1.1. Data Mining
1.1.2. Analysis
1.1.3. Market Estimation
1.1.4. Validation
1.1.5. Publishing
1.2. Research Assumption

Chapter 2. Global Artificial Intelligence in Agriculture Market Definition & Scope

2.1. Objective of The Study
2.2. Market Definition
2.3. Scope of The Study
2.4. Years Considered for The Study
2.5. Currency Conversion Rates
2.6. Report Limitation
Chapter 3. Executive Summary
3.1. Key Trends
3.2. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion/Million)

Chapter 4. Global Artificial Intelligence in Agriculture Industry Dynamics

4.1. Growth Prospects
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.2. Industry Analysis
4.2.1. Porter’s 5 Force Model
4.2.2. PEST Analysis
4.2.3. Value Chain Analysis
4.3. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence in Agriculture Market by Technology

5.1. Market Snapshot
5.2. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
5.2.1. Predictive Analytics
5.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.2. Computer Vision
5.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.3. Machine Learning
5.2.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 6. Global Artificial Intelligence in Agriculture Market by Application

6.1. Market Snapshot
6.2. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
6.2.1. Livestock Monitoring
6.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.2. Drone Analytics
6.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.3. Agriculture Robots
6.2.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.4. Precision Farming
6.2.4.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.5. Others
6.2.5.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)

Chapter 7. Global Artificial Intelligence in Agriculture Market by Offering

7.1. Market Snapshot
7.2. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
7.2.1. Hardware
7.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.2. Software
7.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.3. Service
7.2.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.4. AI-as-a-service
7.2.4.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
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