Report Cover

United States AI in Agriculture Market Report & Forecast 2021-2027


United States AI in Agriculture Market, By Type, 2016-2021, 2022-2027 ($ Millions)
United States AI in Agriculture Market Segment Percentages, By Type, 2020 (%)
    Machine Learning
    Computer Vision
    Predictive Analytics

United States AI in Agriculture Market, By Application, 2016-2021, 2022-2027 ($ Millions)
United States AI in Agriculture Market Segment Percentages, By Application, 2020 (%)
    Precision Farming
    Livestock Monitoring
    Drone Analytics
    Agriculture Robots
    Others

Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies AI in Agriculture revenues in United States market, 2016-2021 (Estimated), ($ millions)
Key companies AI in Agriculture revenues share in United States market, 2020 (%)
Further, the report presents profiles of competitors in the market, key players include:
    Ag Leader Technology
    Trimble
    John Deere
    Iteris
    AGCO
    aWhere
    Gamaya
    Granular
    Raven Industries
    Prospera
    Skysquirrel Technologies
1 Introduction to Research & Analysis Reports
    1.1 AI in Agriculture Market Definition
    1.2 Market Segments
        1.2.1 Segment by Type
        1.2.2 Segment by Application
    1.3 United States AI in Agriculture Market Overview
    1.4 Methodology & Sources of Information
        1.4.1 Research Methodology
        1.4.2 Research Process
        1.4.3 Base Year

2 United States AI in Agriculture Overall Market Size
    2.1 United States AI in Agriculture Market Size: 2021 VS 2027
    2.2 United States AI in Agriculture Revenue, Prospects & Forecasts: 2016-2027
    2.3 Key Market Trends, Opportunity, Drivers and Restraints
        2.3.1 Market Opportunities & Trends
        2.3.2 Market Drivers
        2.3.3 Market Restraints

3 Company Landscape
    3.1 Top AI in Agriculture Players in United States Market
    3.2 Top United States AI in Agriculture Companies Ranked by Revenue
    3.3 United States AI in Agriculture Revenue by Companies
    3.4 Top 3 and Top 5 AI in Agriculture Companies in United States Market, by Revenue in 2020
    3.5 Companies AI in Agriculture Product Type
    3.6 Tier 1, Tier 2 and Tier 3 AI in Agriculture Players in United States Market
        3.6.1 List of Tier 1 AI in Agriculture Companies in United States
        3.6.2 List of Tier 2 and Tier 3 AI in Agriculture Companies in United States

4 Sights by Type
    4.1 Overview
        4.1.1 By Type - United States AI in Agriculture Market Size Markets, 2021 & 2027
        4.1.2 Machine Learning
        4.1.3 Computer Vision
        4.1.4 Predictive Analytics
    4.2 By Type - United States AI in Agriculture Revenue & Forecasts
        4.2.1 By Type - United States AI in Agriculture Revenue, 2016-2021
        4.2.2 By Type - United States AI in Agriculture Revenue, 2022-2027
        4.2.3 By Type - United States AI in Agriculture Revenue Market Share, 2016-2027

5 Sights by Application
    5.1 Overview
        5.1.1 By Application - United States AI in Agriculture Market Size, 2021 & 2027
        5.1.2 Precision Farming
        5.1.3 Livestock Monitoring
        5.1.4 Drone Analytics
        5.1.5 Agriculture Robots
        5.1.6 Others
    5.2 By Application - United States AI in Agriculture Revenue & Forecasts
        5.2.1 By Application - United States AI in Agriculture Revenue, 2016-2021
        5.2.2 By Application - United States AI in Agriculture Revenue, 2022-2027
        5.2.3 By Application - United States AI in Agriculture Revenue Market Share, 2016-2027

6 AI in Agriculture Companies Profiles
    6.1 Ag Leader Technology
        6.1.1 Ag Leader Technology Company Details
        6.1.2 Ag Leader Technology Business Overview
        6.1.3 Ag Leader Technology AI in Agriculture Introduction
        6.1.4 Ag Leader Technology AI in Agriculture Revenue in United States Market (2016-2021)
        6.1.5 Ag Leader Technology Recent Developments
    6.2 Trimble
        6.2.1 Trimble Company Details
        6.2.2 Trimble Business Overview
        6.2.3 Trimble AI in Agriculture Introduction
        6.2.4 Trimble AI in Agriculture Revenue in United States Market (2016-2021)
        6.2.5 Trimble Recent Developments
    6.3 John Deere
        6.3.1 John Deere Company Details
        6.3.2 John Deere Business Overview
        6.3.3 John Deere AI in Agriculture Introduction
        6.3.4 John Deere AI in Agriculture Revenue in United States Market (2016-2021)
        6.3.5 John Deere Recent Developments
    6.4 Iteris
        6.4.1 Iteris Company Details
        6.4.2 Iteris Business Overview
        6.4.3 Iteris AI in Agriculture Introduction
        6.4.4 Iteris AI in Agriculture Revenue in United States Market (2016-2021)
        6.4.5 Iteris Recent Developments
    6.5 AGCO
        6.5.1 AGCO Company Details
        6.5.2 AGCO Business Overview
        6.5.3 AGCO AI in Agriculture Introduction
        6.5.4 AGCO AI in Agriculture Revenue in United States Market (2016-2021)
        6.5.5 AGCO Recent Developments
    6.6 aWhere
        6.6.1 aWhere Company Details
        6.6.2 aWhere Business Overview
        6.6.3 aWhere AI in Agriculture Introduction
        6.6.4 aWhere AI in Agriculture Revenue in United States Market (2016-2021)
        6.6.5 aWhere Recent Developments
    6.7 Gamaya
        6.7.1 Gamaya Company Details
        6.7.2 Gamaya Business Overview
        6.7.3 Gamaya AI in Agriculture Introduction
        6.7.4 Gamaya AI in Agriculture Revenue in United States Market (2016-2021)
        6.7.5 Gamaya Recent Developments
    6.8 Granular
        6.8.1 Granular Company Details
        6.8.2 Granular Business Overview
        6.8.3 Granular AI in Agriculture Introduction
        6.8.4 Granular AI in Agriculture Revenue in United States Market (2016-2021)
        6.8.5 Granular Recent Developments
    6.9 Raven Industries
        6.9.1 Raven Industries Company Details
        6.9.2 Raven Industries Business Overview
        6.9.3 Raven Industries AI in Agriculture Introduction
        6.9.4 Raven Industries AI in Agriculture Revenue in United States Market (2016-2021)
        6.9.5 Raven Industries Recent Developments
    6.10 Prospera
        6.10.1 Prospera Company Details
        6.10.2 Prospera Business Overview
        6.10.3 Prospera AI in Agriculture Introduction
        6.10.4 Prospera AI in Agriculture Revenue in United States Market (2016-2021)
        6.10.5 Prospera Recent Developments
    6.11 Skysquirrel Technologies
        6.11.1 Skysquirrel Technologies Company Details
        6.11.2 Skysquirrel Technologies Business Overview
        6.11.3 Skysquirrel Technologies AI in Agriculture Introduction
        6.11.4 Skysquirrel Technologies AI in Agriculture Revenue in United States Market (2016-2021)
        6.11.5 Skysquirrel Technologies Recent Developments

7 Conclusion
8 Appendix
    8.1 Note
    8.2 Examples of Clients
    8.3 Author Details
    8.4 Disclaimer

List of Tables Table 1. AI in Agriculture Market Opportunities & Trends in United States Market Table 2. AI in Agriculture Market Drivers in United States Market Table 3. AI in Agriculture Market Restraints in United States Market Table 4. Key Players of AI in Agriculture in United States Market Table 5. Top AI in Agriculture Players in United States Market, Ranking by Revenue (2019) Table 6. United States AI in Agriculture Revenue by Companies, (US$, Mn), 2016-2021 Table 7. United States AI in Agriculture Revenue Share by Companies, 2016-2021 Table 8. Companies AI in Agriculture Product Type Table 9. List of Tier 1 AI in Agriculture Companies, Revenue (US$, Mn) in 2020 and Market Share Table 10. List of Tier 2 and Tier 3 AI in Agriculture Companies, Revenue (US$, Mn) in 2020 and Market Share Table 11. By Type - United States AI in Agriculture Revenue, (US$, Mn), 2021 & 2027 Table 12. By Type - United States AI in Agriculture Revenue (US$, Mn), 2016-2021 Table 13. By Type - United States AI in Agriculture Revenue (US$, Mn), 2022-2027 Table 14. By Application - United States AI in Agriculture Revenue, (US$, Mn), 2021 VS 2027 Table 15. By Application - United States AI in Agriculture Revenue (US$, Mn), 2016-2021 Table 16. By Application - United States AI in Agriculture Revenue (US$, Mn), 2022-2027 Table 17. Ag Leader Technology Company Details Table 18. Ag Leader Technology Business Overview Table 19. Ag Leader Technology AI in Agriculture Product Table 20. Ag Leader Technology AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 21. Ag Leader Technology Recent Developments Table 22. Trimble Company Details Table 23. Trimble Business Overview Table 24. Trimble AI in Agriculture Product Table 25. Trimble AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 26. Trimble Recent Developments Table 27. John Deere Company Details Table 28. John Deere Business Overview Table 29. John Deere AI in Agriculture Product Table 30. John Deere AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 31. John Deere Recent Developments Table 32. Iteris Company Details Table 33. Iteris Business Overview Table 34. Iteris AI in Agriculture Product Table 35. Iteris AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 36. Iteris Recent Developments Table 37. AGCO Company Details Table 38. AGCO Business Overview Table 39. AGCO AI in Agriculture Product Table 40. AGCO AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 41. AGCO Recent Developments Table 42. aWhere Company Details Table 43. aWhere Business Overview Table 44. aWhere AI in Agriculture Product Table 45. aWhere AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 46. aWhere Recent Developments Table 47. Gamaya Company Details Table 48. Gamaya Business Overview Table 49. Gamaya AI in Agriculture Product Table 50. Gamaya AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 51. Gamaya Recent Developments Table 52. Granular Company Details Table 53. Granular Business Overview Table 54. Granular AI in Agriculture Product Table 55. Granular AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 56. Granular Recent Developments Table 57. Raven Industries Company Details Table 58. Raven Industries Business Overview Table 59. Raven Industries AI in Agriculture Product Table 60. Raven Industries AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 61. Raven Industries Recent Developments Table 62. Prospera Company Details Table 63. Prospera Business Overview Table 64. Prospera AI in Agriculture Product Table 65. Prospera AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 66. Prospera Recent Developments Table 67. Skysquirrel Technologies Company Details Table 68. Skysquirrel Technologies Business Overview Table 69. Skysquirrel Technologies AI in Agriculture Product Table 70. Skysquirrel Technologies AI in Agriculture Revenue in United States Market (2016-2021) & (US$ Million) Table 71. Skysquirrel Technologies Recent Developments List of Figures Figure 1. AI in Agriculture Segment by Type Figure 2. AI in Agriculture Segment by Application Figure 3. United States AI in Agriculture Market Overview: 2020 Figure 4. United States AI in Agriculture Market Size: 2021 VS 2027 (US$, Mn) Figure 5. United States AI in Agriculture Revenue, 2016-2027 (US$, Mn) Figure 6. The Top 3 and 5 Players Market Share by AI in Agriculture Revenue in 2020 Figure 7. By Type - United States AI in Agriculture Revenue Market Share, 2016-2027 Figure 8. By Application - United States AI in Agriculture Revenue Market Share, 2016-2027 Figure 9. Ag Leader Technology AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 10. Trimble AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 11. John Deere AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 12. Iteris AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 13. AGCO AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 14. aWhere AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 15. Gamaya AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 16. Granular AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 17. Raven Industries AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 18. Prospera AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021) Figure 19. Skysquirrel Technologies AI in Agriculture Revenue Year Over Year Growth (US$, Mn) & (2016-2021)

This research study involved the extensive usage of both primary and secondary data sources.  The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for manufacturers, regions segments, product segments and applications (end users). All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from QYResearch and presented in this report.
 

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
 

Secondary Sources occupies Approximately 25% of Sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on; This research study involved the usage of widespread secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; BIS Statistics; ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the Light Aircraft market. It was also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
 

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers etc.
 

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
 

Primary research was conducted to identify segmentation types, product price range, product applications, key players, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
 

Publisher: QY Research
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