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Ai In Agriculture Market Analysis & New Innovative Solutions by Leading Key Players : Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2Ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vi

Ai In Agriculture Market Analysis & New Innovative Solutions

At the beginning of 2020, COVID-19 disease began to spread around the world, millions of people worldwide were infected with COVID-19 disease, and major countries around the world have implemented foot prohibitions and work stoppage orders. Except for the medical supplies and life support products industries, most industries have been greatly impacted, and AI in Agriculture industries have also been greatly affected.

In the past few years, the AI in Agriculture market experienced a growth of 0.131798365631, the global market size of AI in Agriculture reached 520.0 million $ in 2020, of what is about 280.0 million $ in 2015.

From 2015 to 2019, the growth rate of global AI in Agriculture market size was in the range of xxx%. At the end of 2019, COVID-19 began to erupt in China, Due to the huge decrease of global economy; we forecast the growth rate of global economy will show a decrease of about 4%, due to this reason, AI in Agriculture market size in 2020 will be 520.0 with a growth rate of xxx%. This is xxx percentage points lower than in previous years.

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Key Companies that are Covered in this Report:
Ibm
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary Of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2Ce
Precision Hawk
Skysquirrel Technologies
Cainthus
Tule Technologies
Resson
Farmbot
Connecterra
Vision Robotics
Harvest Croo
Autonomous Tractor Corporation
Trace Genomics
Vine Rangers
Cropx
Spensa Technologies

Product Type Segmentation
Hardware
Software
Ai-As-A-Service
Service

Industry Segmentation
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots

As of the date of the report, there have been more than 20 million confirmed cases of CVOID-19 worldwide, and the epidemic has not been effectively controlled. Therefore, we predict that the global epidemic will be basically controlled by the end of 2020 and the global AI in Agriculture market size will reach 1440.0 million $ in 2025, with a CAGR of xxx% between 2020-2025.

Get Discount on this Report@ https://www.qurateresearch.com/report/discount/MnE/global-ai-in-agriculture-market/QBI-BIS-MnE-954597

Ai In Agriculture Market: Regional analysis includes:

Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
North America (the United States, Mexico, and Canada.)
South America (Brazil etc.)
The Middle East and Africa (GCC Countries and Egypt.)

Key Questions Answered in the Report Include:

What will the market size and the growth rate be in 2025?
What are the key factors driving the global Ai In Agriculture Market?
What are the key market trends impacting the growth of the global Ai In Agriculture Market?
What are the challenges to market growth?
Who are the key vendors in the global Ai In Agriculture Market?
What are the market opportunities and threats faced by the vendors in the global Ai In Agriculture Market?
Trending factors influencing the market shares of the Americas, APAC, Europe, and MEA.
What are the key outcomes of the five forces analysis of the global Ai In Agriculture Market?

Contact Us:
Nehal Chinoy
Runwal Platinum,
Ramnagar Colony, Bavdhan,
Pune, Maharashtra, India-411021
IN +919881074592
info@qurateresearch.com
https://www.qurateresearch.com/

About Us:
Qurate Business Intelligence delivers unique market research solutions to its customers and help them to get equipped with refined information and market insights derived from reports. We are committed to providing best business services and easy processes to get the same. Qurate Business Intelligence considers themselves as strategic partners of their customers and always shows the keen level of interest to deliver quality.

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