Pune, India -- (SBWIRE) -- 01/25/2018 -- Global AI in Agriculture Market Outlook (2018-2025) by Offering (Hardware, Software, Service, AI-As-A-Service), By Technology (Predictive Analytics, Machine Learning, Computer Vision), By Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics), By Geography (North America, Europe, Asia-Pacific, Europe, South America, Middle East and Africa) and Forecast to 2025

Report Definition:

Artificial Intelligence (AI) in agriculture is utilization of cognitive technologies that helps in learning, reasoning, understanding and interacting, which in result increases the efficiency. It offers various advantages such as Image recognition and insight, chatbots for farmers, help IoT achieve its maximum potential and determine the best options to maximize return on crops.

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This report consists of below pages:

-             No of pages: 350

-             No of Figures: 60

-             No of Tables: 220

Competitive Analysis:

The global AI in agriculture market is consolidated due to the presence of limited number of players concentrated in few countries. These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

Major Market Competitors:

Some of the major players in global AI in agriculture market are:



- IBM

- Microsoft Corporation

- Descartes Labs

- Deere & Company

- Granular

- aWhere

- The Climate Corporation

- Agribotix LLC

- Tule Technologies

- Prospera

- Mavrx Inc.

- Cropx

- Harvest Croo

- Farmbot

- Trace Genomics

- Spensa Technologies Inc.

- Resson

- Vision Robotics

- Autonomous Tractor Corporation among others.



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Report Segmentation:

On the basis of offering, the global AI in agriculture market is segmented into hardware, software, service, AI-As-A-Service. Hardware is sub segmented into network, storage device and processor.

On the basis of technology, the global AI in agriculture market is segmented into predictive analytics, machine learning and computer vision.

On the basis of application, the global AI in agriculture market is segmented into livestock monitoring, precision farming, agriculture robots, livestock monitoring, drone analytics and others.

On the basis of geography, the global AI in agriculture market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

Major Market Drivers:



- Increasing adoption of new advanced technologies and IMS

- Rising demand for agricultural production

- Government support and initiatives for the adoption of modern agricultural techniques

- Maximizing crop productivity along with the implementation of various techniques

- Increasing use of drones in agricultural farms



Market Restraint:                  



- High Cost involved during precise field data collection.



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