Artificial Intelligence in Agriculture Market – Global Opportunities and Forecast, 2020-2027
The market report aims to provide an overview of the industry through detailed market segmentation. The report provides thorough information regarding the overview and scope of the market, along with the market drivers, restrains, and key trends. It covers both the quantitative and qualitative aspects of the industry in each region and country participating in the study.
Key Drivers of the AI in Agriculture
Market:
The increasing demand for agriculture
production due to the rising population rate, growing implementation of
information management systems and advanced technologies, such as Artificial
Intelligence and IoT, for improving crop productivity, along with the growing
number of government initiatives are the major factors boosting the growth of
the global AI
in the agriculture market. AI-enabled applications help control pests,
monitor the soil, improve agriculture-associated tasks, and enhance the quality
of crops in the complete food supply chain.
The increasing adoption of Internet of
Things and AI technologies such as computer vision, machine learning,
predictive analytics, coupled with deep learning to assess soil moisture,
weather conditions, temperature, plant health, and other functions, are further
fuelling the growth of AI in agriculture market. Additionally, AI aids in enhancing yield
quality and decreases the labor cost that is further accelerating the demand
for AI in agriculture. The start-ups in agriculture are largely adopting
AI-enabled methodology to upsurge the efficiency of agricultural production.
Applying AI-enabled approaches helps in identifying diseases or climatic
changes more quickly and responds smartly. All these factors are bolstering the
growth of the market during the forecast period. On the other hand, the high
cost regarding the collection of precise field data is hindering the market
growth.
This report splits the AI in Agriculture
Market as follows:
By Offering:
·
Hardware
o
Processor
o
Storage Device
o
Network
·
Software
o
AI Platform
o
AI Solution
·
AI-as-a-Service
·
Service
o
Deployment and Integration
o
Support and Maintenance
By Technology:
·
Machine Learning
·
Computer Vision
·
Predictive Analytics
By Application:
·
Precision Farming
o
Yield Monitoring
o
Field Mapping
o
Crop Scouting
o
Weather Tracking and Forecasting
o
Irrigation Management
·
Livestock Monitoring
·
Drone Analytics
·
Agriculture Robots
·
Other Applications
o
Smart Greenhouse Applications
o
Soil Management
§ Moisture Monitoring
§ Nutrient Monitoring
o
Fish Farming Application
By Region:
·
North America
o
United States of America
o
Canada
·
Asia Pacific
o
China
o
Japan
o
India
o
Rest of APAC
·
Europe
o
United Kingdom
o
Germany
o
France
o
Spain
o
Rest of Europe
·
RoW
o
Brazil
o
South Africa
o
Saudi Arabia
o
UAE
o
Rest of the world (remaining
countries of the LAMEA region)
Competitive
Landscape:
The AI in
agriculture market report also scans the competitive landscape and profiles the
major players operating in the market, including Deere & Company, Microsoft
Corporation, Taranis, The Climate Corporation (Subsidiary of Monsanto), IBM
Corporation, Granular Inc., Descartes Labs, Inc., Prospera Technologies,
AgEagle Aerial Systems Inc., GAMAYA, and
aWhere Inc., among others.
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Research
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