Artificial Intelligence in Agriculture Market Research Report
Growth opportunities in the Artificial Intelligence in
Agriculture Market look promising over the next six years. This is mainly due
to the ongoing government initiatives, reduction in labor expenses, and help to
overcome the traditional challenges in every field.
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Agriculture Market
Artificial Intelligence in Agriculture
Market Dynamics (including market size, share, trends, forecast, growth,
forecast, and industry analysis)
Key
Drivers
The stimulating demand for agriculture production led by the
accelerating population rate, increasing incorporation of information
management systems and sophisticated technologies, including deep learning and
machine learning techniques to enhance the crop productivity along with the
surging favorable initiatives by the government are some of the most prominent
drivers supplementing the growth of the global AI
in the agriculture market. Also, these devices allow controlling of pests,
up-gradation of crop quality, supervision of soils, and enhancement in the
agriculture-associated tasks in the entire food supply chain. In addition, the
augmentation in the endorsement of Internet of Things and AI technologies which
include computer vision, predictive analytics, machine learning, and deep
learning to evaluate soil moisture, weather conditions, temperature, and plant
health, is strengthening the AI in the agriculture market size. Furthermore, AI
helps to improve the yield quality and decreases the labor cost that is paving
the way for market growth. The start-ups in agriculture are extensively
acquiring AI-enabled methodology to enhance the effectiveness of agricultural
production. The application of these approaches helps to identify diseases or
climatic changes more swiftly and responds smartly. All these factors together
are supplementing the market growth. However, the high cost associated with the
collection of precise field data is hampering the market growth.
Offering
Segment Drivers
Based on offering, the software is projected to dominate the
market during the forecast period. This is because of the amelioration of crop
productivity by applying prediction-based analytics and computer vision
technology. In addition to this, the increasing assimilation of mobile
technologies with farming techniques, the aggravating implementation of
AI-based software to impel farm efficiency, accelerating penetration of
predictive analytics enabled software, and the increasing need for real-time
management systems are bolstering the growth of the market.
Regional
Drivers
Based on the regional coverage, North America is predicted
to witness a faster CAGR over the forecast period. This is owing to the
excessive perforation of industrial automation and artificial intelligence application.
The rising adoption of AI technology among large-scale agriculture players to
elevate the speed and accuracy of crops will drive market growth.
Artificial
Intelligence in Agriculture Market’s leading Manufacturers:
·
Microsoft Corporation
·
Granular Inc.
·
Prospera Technologies
·
Taranis
·
GAMAYA
·
Deere & Company
·
The Climate Corporation (Subsidiary of Monsanto)
·
Descartes Labs, Inc.
·
AgEagle Aerial Systems Inc.
·
aWhere Inc.
·
IBM Corporation
Artificial Intelligence in Agriculture Market Segmentation:
Segmentation 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
Segmentation by Technology
·
Machine Learning
·
Computer Vision
·
Predictive Analytics
Segmentation 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
o
Moisture Monitoring
o
Nutrient Monitoring
·
Fish Farming Application
Segmentation 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)
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