Global AI in Agriculture Market Research Report 2024
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global AI in Agriculture Market Research Report 2024
Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.
According to MRA Research’s new survey, global AI in Agriculture market is projected to reach US$ 1606 million in 2033, increasing from US$ 672 million in 2023, with the CAGR of 12.8% during the period of 2023 to 2033. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI in Agriculture market research.
Based on technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. Machine learning held the largest market size owing to the growing adoption of this technology for various applications of agriculture such as precision farming, drone analytics, agriculture robots, and livestock monitoring.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global AI in Agriculture market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI in Agriculture report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source
According to MRA Research’s new survey, global AI in Agriculture market is projected to reach US$ 1606 million in 2033, increasing from US$ 672 million in 2023, with the CAGR of 12.8% during the period of 2023 to 2033. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI in Agriculture market research.
Based on technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. Machine learning held the largest market size owing to the growing adoption of this technology for various applications of agriculture such as precision farming, drone analytics, agriculture robots, and livestock monitoring.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global AI in Agriculture market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI in Agriculture report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source