Artificial Intelligence (AI) in Agriculture Market Status and Trend Analysis 2017-2034 (COVID-19 Version)
Published on: 2024-01-04 | No of Pages : 133 | Industry : Agriculture
Publisher : 9 | Format : Electronic PDF
Artificial Intelligence (AI) in Agriculture Market Status and Trend Analysis 2017-2034 (COVID-19 Version)
Summary
Further key aspects of the report indicate that
Chapter 1Research ScopeProduct Definition, Type, End-Use & Methodology
Chapter 2Global Industry Summary
Chapter 3Market Dynamics
Chapter 4Global Market Segmentation by region, type and End-Use
Chapter 5North America Market Segmentation by region, type and End-Use
Chapter 6Europe Market Segmentation by region, type and End-Use
Chapter 7Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8South America Market Segmentation by region, type and End-Use
Chapter 9Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10Market Competition by Companies
Chapter 11Market forecast and environment forecast.
Chapter 12Industry Summary.
The global Artificial Intelligence (AI) in Agriculture market has the potential to grow with xx million USD with growing CAGR in the forecast period from 2021f to 2026f. Factors driving the market for @@@@@ are the significant development of demand and improvement of COVID-19 and geo-economics.
Machine Learning
Computer Vision
Predictive Analytics
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
North America [U.S., Canada, Mexico]
Europe [Germany, UK, France, Italy, Rest of Europe]
Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
South America [Brazil, Argentina, Rest of Latin America]
Middle East & Africa [GCC, North Africa, South Africa, Rest of Middle East and Africa]
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Further key aspects of the report indicate that
Chapter 1Research ScopeProduct Definition, Type, End-Use & Methodology
Chapter 2Global Industry Summary
Chapter 3Market Dynamics
Chapter 4Global Market Segmentation by region, type and End-Use
Chapter 5North America Market Segmentation by region, type and End-Use
Chapter 6Europe Market Segmentation by region, type and End-Use
Chapter 7Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8South America Market Segmentation by region, type and End-Use
Chapter 9Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10Market Competition by Companies
Chapter 11Market forecast and environment forecast.
Chapter 12Industry Summary.
The global Artificial Intelligence (AI) in Agriculture market has the potential to grow with xx million USD with growing CAGR in the forecast period from 2021f to 2026f. Factors driving the market for @@@@@ are the significant development of demand and improvement of COVID-19 and geo-economics.
Based on the type of product
the global Artificial Intelligence (AI) in Agriculture market segmented intoMachine Learning
Computer Vision
Predictive Analytics
Based on the end-use
the global Artificial Intelligence (AI) in Agriculture market classified intoPrecision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Based on geography
the global Artificial Intelligence (AI) in Agriculture market segmented intoNorth America [U.S., Canada, Mexico]
Europe [Germany, UK, France, Italy, Rest of Europe]
Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
South America [Brazil, Argentina, Rest of Latin America]
Middle East & Africa [GCC, North Africa, South Africa, Rest of Middle East and Africa]
And the major players included in the report are
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus