The AI in Agriculture Market Report delivers a comprehensive analysis of the market structure along with forecast of the various segments and sub-segments of the AI in Agriculture Market. The company profiles of all the key players and brands that are dominating the Global AI in Agriculture Market with moves like product launches, joint ventures, merges and accusations which in turn is affecting the sales, import, export, revenue and CAGR values are mentioned in the report. The report is generated based on the market type, size of the organization, availability on-premises and the end-users’ organization type, and availability in areas such as North America, South America, Europe, Asia-Pacific and Middle East & Africa.

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Global AI in Agriculture Market accounted for USD 432.5 million in 2017 and is projected to grow at a CAGR of 22.7% during the forecast period of 2018 to 2025. Global AI in Agriculture Market 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) Industry Trends and Forecast to 2025

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.

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.

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.

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.

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Report Segmentation:

On the basis of offering:

• Hardware
• Software
• Service
• AI-As-A-Service

Hardware is sub segmented into:

• Network
• Storage Device
• Processor

On the basis of technology:

• Predictive Analytics
• Machine Learning
• Computer Vision

On the basis of application:

• Livestock Monitoring
• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics
• Others

On the basis of geography:

• North America
• South America
• Europe
• Asia-Pacific
• 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.

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