Summary
Further key aspects of the report indicate that:
Chapter 1: Research Scope: Product Definition, Type, End-Use & Methodology
Chapter 2: Global Industry Summary
Chapter 3: Market Dynamics
Chapter 4: Global Market Segmentation by region, type and End-Use
Chapter 5: North America Market Segmentation by region, type and End-Use
Chapter 6: Europe Market Segmentation by region, type and End-Use
Chapter 7: Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8: South America Market Segmentation by region, type and End-Use
Chapter 9: Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10: Market Competition by Companies
Chapter 11: Market forecast and environment forecast.
Chapter 12: Industry 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 into
Machine Learning
Computer Vision
Predictive Analytics
Based on the end-use, the global Artificial Intelligence (AI) in Agriculture market classified into
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Based on geography, the global Artificial Intelligence (AI) in Agriculture market segmented into
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]
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
Further key aspects of the report indicate that:
Chapter 1: Research Scope: Product Definition, Type, End-Use & Methodology
Chapter 2: Global Industry Summary
Chapter 3: Market Dynamics
Chapter 4: Global Market Segmentation by region, type and End-Use
Chapter 5: North America Market Segmentation by region, type and End-Use
Chapter 6: Europe Market Segmentation by region, type and End-Use
Chapter 7: Asia-Pacific Market Segmentation by region, type and End-Use
Chapter 8: South America Market Segmentation by region, type and End-Use
Chapter 9: Middle East and Africa Market Segmentation by region, type and End-Use.
Chapter 10: Market Competition by Companies
Chapter 11: Market forecast and environment forecast.
Chapter 12: Industry 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 into
Machine Learning
Computer Vision
Predictive Analytics
Based on the end-use, the global Artificial Intelligence (AI) in Agriculture market classified into
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Based on geography, the global Artificial Intelligence (AI) in Agriculture market segmented into
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]
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
Table of Contents
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN AGRICULTURE INDUSTRY
2.1 Summary about Artificial Intelligence (AI) in Agriculture Industry
2.2 Artificial Intelligence (AI) in Agriculture Market Trends
2.2.1 Artificial Intelligence (AI) in Agriculture Production & Consumption Trends
2.2.2 Artificial Intelligence (AI) in Agriculture Demand Structure Trends
2.3 Artificial Intelligence (AI) in Agriculture Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 Machine Learning
4.2.2 Computer Vision
4.2.3 Predictive Analytics
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Precision Farming
4.3.2 Livestock Monitoring
4.3.3 Drone Analytics
4.3.4 Agriculture Robots
4.3.5 Others
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 Machine Learning
5.2.2 Computer Vision
5.2.3 Predictive Analytics
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Precision Farming
5.3.2 Livestock Monitoring
5.3.3 Drone Analytics
5.3.4 Agriculture Robots
5.3.5 Others
5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION
6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe
6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 Machine Learning
6.2.2 Computer Vision
6.2.3 Predictive Analytics
6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Precision Farming
6.3.2 Livestock Monitoring
6.3.3 Drone Analytics
6.3.4 Agriculture Robots
6.3.5 Others
6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION
7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific
7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 Machine Learning
7.2.2 Computer Vision
7.2.3 Predictive Analytics
7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Precision Farming
7.3.2 Livestock Monitoring
7.3.3 Drone Analytics
7.3.4 Agriculture Robots
7.3.5 Others
7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION
8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America
8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 Machine Learning
8.2.2 Computer Vision
8.2.3 Predictive Analytics
8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Precision Farming
8.3.2 Livestock Monitoring
8.3.3 Drone Analytics
8.3.4 Agriculture Robots
8.3.5 Others
8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION
9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa
9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 Machine Learning
9.2.2 Computer Vision
9.2.3 Predictive Analytics
9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Precision Farming
9.3.2 Livestock Monitoring
9.3.3 Drone Analytics
9.3.4 Agriculture Robots
9.3.5 Others
9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS
10.1 Brief Introduction of Major Players
10.1.1 IBM
10.1.2 Intel
10.1.3 Microsoft
10.1.4 SAP
10.1.5 Agribotix
10.1.6 The Climate Corporation
10.1.7 Mavrx
10.1.8 aWhere
10.1.9 Precision Hawk
10.1.10 Granular
10.1.11 Prospera Technologies
10.1.12 Spensa Technologies
10.1.13 Resson
10.1.14 Vision Robotics
10.1.15 Harvest Croo Robotics
10.1.16 CropX
10.1.17 John Deere
10.1.18 Gamaya
10.1.19 Cainthus
10.2 Artificial Intelligence (AI) in Agriculture Sales Date of Major Players (2017-2020e)
10.2.1 IBM
10.2.2 Intel
10.2.3 Microsoft
10.2.4 SAP
10.2.5 Agribotix
10.2.6 The Climate Corporation
10.2.7 Mavrx
10.2.8 aWhere
10.2.9 Precision Hawk
10.2.10 Granular
10.2.11 Prospera Technologies
10.2.12 Spensa Technologies
10.2.13 Resson
10.2.14 Vision Robotics
10.2.15 Harvest Croo Robotics
10.2.16 CropX
10.2.17 John Deere
10.2.18 Gamaya
10.2.19 Cainthus
10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST
11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN AGRICULTURE INDUSTRY
2.1 Summary about Artificial Intelligence (AI) in Agriculture Industry
2.2 Artificial Intelligence (AI) in Agriculture Market Trends
2.2.1 Artificial Intelligence (AI) in Agriculture Production & Consumption Trends
2.2.2 Artificial Intelligence (AI) in Agriculture Demand Structure Trends
2.3 Artificial Intelligence (AI) in Agriculture Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 Machine Learning
4.2.2 Computer Vision
4.2.3 Predictive Analytics
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Precision Farming
4.3.2 Livestock Monitoring
4.3.3 Drone Analytics
4.3.4 Agriculture Robots
4.3.5 Others
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 Machine Learning
5.2.2 Computer Vision
5.2.3 Predictive Analytics
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Precision Farming
5.3.2 Livestock Monitoring
5.3.3 Drone Analytics
5.3.4 Agriculture Robots
5.3.5 Others
5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION
6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe
6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 Machine Learning
6.2.2 Computer Vision
6.2.3 Predictive Analytics
6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Precision Farming
6.3.2 Livestock Monitoring
6.3.3 Drone Analytics
6.3.4 Agriculture Robots
6.3.5 Others
6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION
7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific
7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 Machine Learning
7.2.2 Computer Vision
7.2.3 Predictive Analytics
7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Precision Farming
7.3.2 Livestock Monitoring
7.3.3 Drone Analytics
7.3.4 Agriculture Robots
7.3.5 Others
7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION
8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America
8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 Machine Learning
8.2.2 Computer Vision
8.2.3 Predictive Analytics
8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Precision Farming
8.3.2 Livestock Monitoring
8.3.3 Drone Analytics
8.3.4 Agriculture Robots
8.3.5 Others
8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION
9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa
9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 Machine Learning
9.2.2 Computer Vision
9.2.3 Predictive Analytics
9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Precision Farming
9.3.2 Livestock Monitoring
9.3.3 Drone Analytics
9.3.4 Agriculture Robots
9.3.5 Others
9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS
10.1 Brief Introduction of Major Players
10.1.1 IBM
10.1.2 Intel
10.1.3 Microsoft
10.1.4 SAP
10.1.5 Agribotix
10.1.6 The Climate Corporation
10.1.7 Mavrx
10.1.8 aWhere
10.1.9 Precision Hawk
10.1.10 Granular
10.1.11 Prospera Technologies
10.1.12 Spensa Technologies
10.1.13 Resson
10.1.14 Vision Robotics
10.1.15 Harvest Croo Robotics
10.1.16 CropX
10.1.17 John Deere
10.1.18 Gamaya
10.1.19 Cainthus
10.2 Artificial Intelligence (AI) in Agriculture Sales Date of Major Players (2017-2020e)
10.2.1 IBM
10.2.2 Intel
10.2.3 Microsoft
10.2.4 SAP
10.2.5 Agribotix
10.2.6 The Climate Corporation
10.2.7 Mavrx
10.2.8 aWhere
10.2.9 Precision Hawk
10.2.10 Granular
10.2.11 Prospera Technologies
10.2.12 Spensa Technologies
10.2.13 Resson
10.2.14 Vision Robotics
10.2.15 Harvest Croo Robotics
10.2.16 CropX
10.2.17 John Deere
10.2.18 Gamaya
10.2.19 Cainthus
10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST
11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT
