This report
studies AI
in Agriculture Global 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 2024
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.
Read more about the Global AI in
Agriculture Market Report Visit @ http://databridgemarketresearch.com/reports/global-ai-agriculture-market/
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