AI in Agriculture Market

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MarketsandMarkets Research Private Ltd.
Presents
AI in agriculture market worth 2,628.5 Million
USD by 2025
https//www.marketsandmarkets.com/Market-Reports/a
i-in-agriculture-market-159957009.html
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According to the new research report on the "AI
in Agriculture Market by Technology (Machine
Learning, Computer Vision, Predictive Analytics),
Offering, Application (Precision Farming, Drone
Analytics, Agriculture Robots, Livestock
Monitoring), Offering, and Geography - Global
Forecast to 2025", The AI in agriculture market
is expected to grow at a CAGR of 22.5 to reach
USD 2,628.5 Million by 2025 from USD 518.7
Million in 2017. Browse gtgt
75 Market data tables 47
figures 163 pages and
in-depth TOC on AI in agriculture market
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/ai-in-agriculture-market-159957009.html Earl
y buyers will receive 10 customization on this
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eleases/ai-in-agriculture.asp
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The rapid growth of the AI in agriculture market
can be attributed to various factors including
the growing demand for agricultural production
owing to the increasing population, rising
adoption of information management systems and
new, advanced technologies for improving crop
productivity, increasing crop productivity by
implementing deep learning techniques, and
growing initiatives by worldwide governments
supporting the adoption of modern agricultural
techniques. Machine learning-enabled solutions
are being significantly adopted by agricultural
organizations and farmers to enhance farm
productivity and to gain a competitive edge in
business operations. Moreover, in the coming
years, the application of machine learning and
computer vision in various agricultural practices
is expected to rise exponentially. Machine
learning AI technology expected to hold the
largest market share during the forecast
period Among various technologies, machine
learning technology is estimated to lead the AI
in agriculture market during the forecast period.
The increasing adoption of machine learning
technology by farmers across the world is the
major factor fueling the demand for this
technology in the agriculture industry. Machine
learning allows farmers and agribusinesses to
make better decisions based on findings in real
time.
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i-in-agriculture-market-159957009.html
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Precision farming application accounted for the
largest share of the AI in agriculture market in
2016 The major factors driving the growth of the
market for precision farming application include
the increasing focus on farm productivity due to
rising population and need for improving food
quality. Precision farming technologies help in
making traditional agricultural activities more
efficient and predictable. The increasing
adoption of agriculture robots in farming
applications for increasing productivity and crop
health monitoring are the major factors
contributing to the demand for AI in precision
farming applications. The Americas expected to
hold the largest market size during the forecast
period The Americas is a major market for AI in
agriculture. The increasing demand for advanced
agricultural solutions is expected to drive the
growth of the market in this region. The Americas
is expected to continue to hold the largest share
of the AI in agriculture market in the coming
years because large-scale agriculture players in
the region are already using the AI technology to
dramatically improve the speed and accuracy of
their planting and crop management techniques.
For instance, Raizen, Brazils leading sugar and
ethanol producer, recently announced a
partnership with Space Time Analytics (Brazil) to
use AI to forecast the size of sugarcane
harvest. The report profiles key players such as
IBM (US), John Deere (US), Microsoft (US),
Agribotix (US), The Climate Corporation (US),
ec2ce (Spain), Sky Squirrel Technologies, aWhere
(US), Precision Hawk (US), Granular (US), and
Autonomous Tractor Corporation (US) operating in
the market.
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i-in-agriculture.asp
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