AI in Agriculture Market 2018-2025 By Top Key Players: IBM, Microsoft Corporation, Descartes Labs, Deere & Company, Granular, aWhere, The Climate Corporation¸ Agribotix LLC, Tule Technologies, Prospera, Mavrx Inc., Cropx, Harvest Croo

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 and Autonomous Tractor Corporation among others these are the main players who are dominating the AI in Agriculture Market and are affecting the sales, import, export and revenue at a global level.

The Global AI in Agriculture Market is growing day by day this report contains all the data needed to as good as the dominating players and become a BRAND. The report contains information like market definition, classifications, applications and market trends and also the AI in Agriculture Market CAGR levels. The report informs the user about all the drivers and restrains which are derived from SWOT analysis and the unique method of Porter's Five Forces Analysis which informs about the threat of new entrants, threat of substitutes, bargaining power of customers, bargaining power of suppliers, Industry rivalry to the organizations in the Global AI in Agriculture industry.

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Market Definition: Global AI in Agriculture Market

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.

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

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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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.

Market Analysis:

The 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. The upcoming market report contains data for historic years 2014, 2015, the base year of calculation is 2017 and the forecast period is 2018 to 2025.

Competitive Landscape:

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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Key Points mentioned in the report:

1. What was the market size in 2016?
2. What are the moves of key players?
3. Which region is leading the market at global level?
4. A comprehensive/competitive analysis of the market?
5. What the drivers and restrains are for the Global AI in Agriculture Market?
6. How will the market stand in the forecast period of 2018-2025?

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