AI in Agriculture Market
AI in Agriculture Market

AI in Agriculture Market 2019 Trends, Key Companies Profile, Size, Share Estimation, Industry Research Analysis, Growth & Demand Forecast to 2025

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 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

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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.

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.

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.

This report consists of below pages:

  • No of pages: 350
  • No of Figures: 60
  • No of Tables: 220

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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.

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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