Global AI in Agriculture Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global AI in Agriculture Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
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.
AI in Agriculture report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. 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. Demand from Precision Farming and Livestock Monitoring are the major drivers for the industry.
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.
Companies, Type, Application and Regions Listed in the Report
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the AI in Agriculture market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, AI in Agriculture introduction, etc. AI in Agriculture Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry.
Chapter 12MRA Research’s Conclusions of AI in Agriculture market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.
AI in Agriculture report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. 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. Demand from Precision Farming and Livestock Monitoring are the major drivers for the industry.
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.
Companies, Type, Application and Regions Listed in the Report
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the AI in Agriculture market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, AI in Agriculture introduction, etc. AI in Agriculture Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry.
Chapter 12MRA Research’s Conclusions of AI in Agriculture market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.
Electronic and Semiconductor
Food and Beverages
Chemicals and Materials
Consumer Goods
Construction Manufacturing
Aerospace and Defence
Energy and Power
ICT Media
Banking and Finance
Automotive and Transportation
Machinery and Equipments
Pharmaceutical and Healthcare
Medical Devices