Global Agricultural AI 麻豆原创 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR062400758

Publication Date:

June 3, 2024

Pages:

137

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

The global Agricultural AI market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
The report includes an overview of the development of the Agricultural AI industry chain, the market status of Precision Farming (Machine Learning, Computer Vision), Livestock Monitoring (Machine Learning, Computer Vision), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Agricultural AI.
Regionally, the report analyzes the Agricultural AI markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Agricultural AI market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Agricultural AI market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Agricultural AI industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Machine Learning, Computer Vision).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Agricultural AI market.
Regional Analysis: The report involves examining the Agricultural AI market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Agricultural AI market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Agricultural AI:
Company Analysis: Report covers individual Agricultural AI players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Agricultural AI This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Precision Farming, Livestock Monitoring).
Technology Analysis: Report covers specific technologies relevant to Agricultural AI. It assesses the current state, advancements, and potential future developments in Agricultural AI areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Agricultural AI market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Agricultural AI market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
Machine Learning
Computer Vision
Predictive Analytics
麻豆原创 segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
麻豆原创 segment by players, this report covers
IBM
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2ce
Precision Hawk
Skysquirrel Technologies
Cainthus
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Agricultural AI product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Agricultural AI, with revenue, gross margin and global market share of Agricultural AI from 2019 to 2024.
Chapter 3, the Agricultural AI competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Agricultural AI market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Agricultural AI.
Chapter 13, to describe Agricultural AI research findings and conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope of Agricultural AI
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Agricultural AI by Type
1.3.1 Overview: Global Agricultural AI 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Agricultural AI Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 Machine Learning
1.3.4 Computer Vision
1.3.5 Predictive Analytics
1.4 Global Agricultural AI 麻豆原创 by Application
1.4.1 Overview: Global Agricultural AI 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Precision Farming
1.4.3 Livestock Monitoring
1.4.4 Drone Analytics
1.4.5 Agriculture Robots
1.4.6 Others
1.5 Global Agricultural AI 麻豆原创 Size & Forecast
1.6 Global Agricultural AI 麻豆原创 Size and Forecast by Region
1.6.1 Global Agricultural AI 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Agricultural AI 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Agricultural AI 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Agricultural AI 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Agricultural AI 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Agricultural AI 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Agricultural AI 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM Agricultural AI Product and Solutions
2.1.4 IBM Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 IBM Recent Developments and Future Plans
2.2 Deere & Company
2.2.1 Deere & Company Details
2.2.2 Deere & Company Major Business
2.2.3 Deere & Company Agricultural AI Product and Solutions
2.2.4 Deere & Company Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Deere & Company Recent Developments and Future Plans
2.3 Microsoft
2.3.1 Microsoft Details
2.3.2 Microsoft Major Business
2.3.3 Microsoft Agricultural AI Product and Solutions
2.3.4 Microsoft Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Microsoft Recent Developments and Future Plans
2.4 Agribotix
2.4.1 Agribotix Details
2.4.2 Agribotix Major Business
2.4.3 Agribotix Agricultural AI Product and Solutions
2.4.4 Agribotix Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Agribotix Recent Developments and Future Plans
2.5 The Climate Corporation (Subsidiary of Monsanto)
2.5.1 The Climate Corporation (Subsidiary of Monsanto) Details
2.5.2 The Climate Corporation (Subsidiary of Monsanto) Major Business
2.5.3 The Climate Corporation (Subsidiary of Monsanto) Agricultural AI Product and Solutions
2.5.4 The Climate Corporation (Subsidiary of Monsanto) Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 The Climate Corporation (Subsidiary of Monsanto) Recent Developments and Future Plans
2.6 Granular
2.6.1 Granular Details
2.6.2 Granular Major Business
2.6.3 Granular Agricultural AI Product and Solutions
2.6.4 Granular Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Granular Recent Developments and Future Plans
2.7 Descartes Labs
2.7.1 Descartes Labs Details
2.7.2 Descartes Labs Major Business
2.7.3 Descartes Labs Agricultural AI Product and Solutions
2.7.4 Descartes Labs Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Descartes Labs Recent Developments and Future Plans
2.8 Prospera
2.8.1 Prospera Details
2.8.2 Prospera Major Business
2.8.3 Prospera Agricultural AI Product and Solutions
2.8.4 Prospera Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Prospera Recent Developments and Future Plans
2.9 Mavrx
2.9.1 Mavrx Details
2.9.2 Mavrx Major Business
2.9.3 Mavrx Agricultural AI Product and Solutions
2.9.4 Mavrx Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Mavrx Recent Developments and Future Plans
2.10 Awhere
2.10.1 Awhere Details
2.10.2 Awhere Major Business
2.10.3 Awhere Agricultural AI Product and Solutions
2.10.4 Awhere Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Awhere Recent Developments and Future Plans
2.11 Gamaya
2.11.1 Gamaya Details
2.11.2 Gamaya Major Business
2.11.3 Gamaya Agricultural AI Product and Solutions
2.11.4 Gamaya Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Gamaya Recent Developments and Future Plans
2.12 Ec2ce
2.12.1 Ec2ce Details
2.12.2 Ec2ce Major Business
2.12.3 Ec2ce Agricultural AI Product and Solutions
2.12.4 Ec2ce Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.12.5 Ec2ce Recent Developments and Future Plans
2.13 Precision Hawk
2.13.1 Precision Hawk Details
2.13.2 Precision Hawk Major Business
2.13.3 Precision Hawk Agricultural AI Product and Solutions
2.13.4 Precision Hawk Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.13.5 Precision Hawk Recent Developments and Future Plans
2.14 Skysquirrel Technologies
2.14.1 Skysquirrel Technologies Details
2.14.2 Skysquirrel Technologies Major Business
2.14.3 Skysquirrel Technologies Agricultural AI Product and Solutions
2.14.4 Skysquirrel Technologies Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.14.5 Skysquirrel Technologies Recent Developments and Future Plans
2.15 Cainthus
2.15.1 Cainthus Details
2.15.2 Cainthus Major Business
2.15.3 Cainthus Agricultural AI Product and Solutions
2.15.4 Cainthus Agricultural AI Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.15.5 Cainthus Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Agricultural AI Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Agricultural AI by Company Revenue
3.2.2 Top 3 Agricultural AI Players 麻豆原创 Share in 2023
3.2.3 Top 6 Agricultural AI Players 麻豆原创 Share in 2023
3.3 Agricultural AI 麻豆原创: Overall Company Footprint Analysis
3.3.1 Agricultural AI 麻豆原创: Region Footprint
3.3.2 Agricultural AI 麻豆原创: Company Product Type Footprint
3.3.3 Agricultural AI 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Agricultural AI Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Agricultural AI 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Agricultural AI Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Agricultural AI 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Agricultural AI Consumption Value by Type (2019-2030)
6.2 North America Agricultural AI Consumption Value by Application (2019-2030)
6.3 North America Agricultural AI 麻豆原创 Size by Country
6.3.1 North America Agricultural AI Consumption Value by Country (2019-2030)
6.3.2 United States Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Agricultural AI Consumption Value by Type (2019-2030)
7.2 Europe Agricultural AI Consumption Value by Application (2019-2030)
7.3 Europe Agricultural AI 麻豆原创 Size by Country
7.3.1 Europe Agricultural AI Consumption Value by Country (2019-2030)
7.3.2 Germany Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Agricultural AI Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Agricultural AI Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Agricultural AI 麻豆原创 Size by Region
8.3.1 Asia-Pacific Agricultural AI Consumption Value by Region (2019-2030)
8.3.2 China Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Agricultural AI Consumption Value by Type (2019-2030)
9.2 South America Agricultural AI Consumption Value by Application (2019-2030)
9.3 South America Agricultural AI 麻豆原创 Size by Country
9.3.1 South America Agricultural AI Consumption Value by Country (2019-2030)
9.3.2 Brazil Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Agricultural AI Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Agricultural AI Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Agricultural AI 麻豆原创 Size by Country
10.3.1 Middle East & Africa Agricultural AI Consumption Value by Country (2019-2030)
10.3.2 Turkey Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Agricultural AI 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Agricultural AI 麻豆原创 Drivers
11.2 Agricultural AI 麻豆原创 Restraints
11.3 Agricultural AI Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Agricultural AI Industry Chain
12.2 Agricultural AI Upstream Analysis
12.3 Agricultural AI Midstream Analysis
12.4 Agricultural AI Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

IBM
Deere & Company
Microsoft
Agribotix
The Climate Corporation (Subsidiary of Monsanto)
Granular
Descartes Labs
Prospera
Mavrx
Awhere
Gamaya
Ec2ce
Precision Hawk
Skysquirrel Technologies
Cainthus

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