Global AI in Agriculture Industry Research Report, Growth Trends and Competitive Analysis 2024-2034
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global AI in Agriculture Industry Research Report, Growth Trends and Competitive Analysis 2024-2034
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.
Due to the COVID-19 pandemic, the global AI in Agriculture market size was US$ 672 million in 2023 and is forecast to a readjusted size of US$ 1606 million by 2033 with a CAGR of 12.8% during the forecast period 2023-2033. Fully considering the economic change by this health crisis, Machine Learning accounting for % of the AI in Agriculture global market in 2023, is projected to value US$ million by 2033, growing at a revised % CAGR from 2023 to 2033. While Precision Farming segment is altered to an % CAGR throughout this forecast period.
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.
The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global AI in Agriculture market. The analysts authoring the report have closely studied key strategies adopted by top players of the global AI in Agriculture market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global AI in Agriculture market. Readers of the report can become informed about current and future trends of the global AI in Agriculture market and how they will impact market growth during the forecast period.
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
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter 1Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.
Chapter 2Revenue of AI in Agriculture in global and regional level.
Chapter 3Detailed analysis of AI in Agriculture companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 7Europe by type, by application and by country, revenue for each segment.
Chapter 8Asia Pacific by type, by application and by region, revenue for each segment.
Chapter 9Latin America by type, by application and by country, revenue for each segment.
Chapter 10Middle East and Africa, by type, by application and by country, revenue for each segment.
Chapter 11Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Agriculture revenue, gross margin, and recent development, etc.
Chapter 12Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 13Research Findings and Conclusion
Due to the COVID-19 pandemic, the global AI in Agriculture market size was US$ 672 million in 2023 and is forecast to a readjusted size of US$ 1606 million by 2033 with a CAGR of 12.8% during the forecast period 2023-2033. Fully considering the economic change by this health crisis, Machine Learning accounting for % of the AI in Agriculture global market in 2023, is projected to value US$ million by 2033, growing at a revised % CAGR from 2023 to 2033. While Precision Farming segment is altered to an % CAGR throughout this forecast period.
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.
The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global AI in Agriculture market. The analysts authoring the report have closely studied key strategies adopted by top players of the global AI in Agriculture market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global AI in Agriculture market. Readers of the report can become informed about current and future trends of the global AI in Agriculture market and how they will impact market growth during the forecast period.
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
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1Introduces the report scope of the report, executive summary of different market segments (product type, application, etc.), including the market size of each market segment, future development potential, and so on.
Chapter 2Revenue of AI in Agriculture in global and regional level.
Chapter 3Detailed analysis of AI in Agriculture companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 7Europe by type, by application and by country, revenue for each segment.
Chapter 8Asia Pacific by type, by application and by region, revenue for each segment.
Chapter 9Latin America by type, by application and by country, revenue for each segment.
Chapter 10Middle East and Africa, by type, by application and by country, revenue for each segment.
Chapter 11Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Agriculture revenue, gross margin, and recent development, etc.
Chapter 12Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 13Research Findings and Conclusion
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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