Booming Growth in Agricultural AI Market Analysis Report 2018 and Forecast to 2025 by Developments in IOT Technology and Growth Overview

BusinessIndustryReports have new report on “Global Agricultural AI Market 2018-2022”. The report provides the newest industry data and industry future trends. The industry report lists the leading competitors and provides the insights strategic industry Analysis of the key factors influencing the market.

This Report covers the Major Players data, including: shipment, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors’ better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size. 

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Factors driving the growth of the AI in agriculture market include the increasing focus on farm productivity due to rising population and need for improving food quality. Precision farming technologies help in making traditional agricultural activities more efficient and predictable. The increasing adoption of agriculture robots in farming applications for increasing productivity and crop health monitoring are the major factors contributing to the demand for AI in precision farming applications.

However, some of the major barriers to the growth of the AI market in agriculture are the high cost of cutting-edge AI technology and lack of AI in agriculture understanding among end users. In a recent study, more than 60% of the small and medium businesses (SMBs) surveyed said that they are not on the radar of seriously implementing AI in their business process due to budget constraints and lack of skilled workforce.

The Americas is a major market for AI in agriculture. The increasing demand for advanced agricultural solutions is expected to drive the growth of the AI in agriculture market in this region. The Americas is expected to continue to hold the largest share of the AI in agriculture market in the coming years because large-scale agriculture players in the region are already using the AI technology to dramatically improve the speed and accuracy of their planting and crop management techniques. For instance, Raizen, Brazil’s leading sugar and ethanol producer, recently announced a partnership with Space Time Analytics (Brazil) to use AI to forecast the size of sugarcane harvest.

Key Players:

1 IBM

2 Deere & Company

3 Microsoft

4 Agribotix

5 The Climate Corporation (Subsidiary of Monsanto)

6 Granular

7 Descartes Labs and more.....

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The report covers the Segments and sub-segments of the Global Agricultural AI Market by:

Regions:

1 United States

2 Europe

3 China

4 Japan

5 Southeast Asia

6 India

Product Types:

1 Machine Learning

2 Computer Vision

3 Predictive Analytics

Industry Segmentation:

1 Precision Farming

2 Livestock Monitoring

3 Drone Analytics

4 Agriculture Robots

5 Others

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Key questions answered in the report include

1 What are the key factors driving the Agricultural AI market?

2 What are the key market trends impacting the growth of the global Agricultural AI market?

3 What are the challenges to Agricultural AI market growth?

4 Who are the key vendors in the global Agricultural AI market?

5 What are the market opportunities and threats faced by the vendors in the global Agricultural AI market?

6 What are the key outcomes of the five forces analysis of the global Agricultural AI market?

Table of Content:

1 Industry Overview of Agricultural AI

2 Global Agricultural AI Competition Analysis by Players

3 Company (Top Players) Profiles

4 Global Agricultural AI Market Size by Type and Application (2013-2018)

5 United States Agricultural AI Development Status and Outlook

6 Europe Agricultural AI Development Status and Outlook

7 China Agricultural AI Development Status and Outlook

8 Japan Agricultural AI Development Status and Outlook

9 Southeast Asia Agricultural AI Development Status and Outlook

10 India Agricultural AI Development Status and Outlook

11 Market Forecast by Regions, Type and Application (2018-2025)

12 Agricultural AI Market Dynamics

13 Market Effect Factors Analysis

14 Research Finding/Conclusion

15 Appendix

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