Information & Communication Technology

US AI in Agriculture Market Analysis By Size, Share, Trends, Future Growth Forecast 2027 | TechSci Research

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According to TechSci Research, United States AI in Agriculture Market is expected to grow at a double digit CAGR between 2023-2027 owing to increasing population, growing demand for agricultural production, rising adoption of information management systems and technological advancements. Based on offering, market has been classified into hardware, software and AI-as-a-Service. In 2021, the software segment dominated the AI in Agriculture Market due to increasing demand for real-time data management systems and rising use of artificial intelligence software to improve farm productivity and the segmented is anticipated to maintain its dominance during the forecast period as well.

Some of the leading players in the United States AI in Agriculture market are IBM, Granular, Microsoft, Deere & Company, Mavrx, Awhere, The Climate Corporation, Agribotix, Descartes Labs, Prospera etc.

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Objective of the Study:

  • To analyse and forecast the market size of AI in Agriculture, in terms of value.
  • To classify and forecast United States AI in Agriculture based on technology, offering, application and regional distribution.
  • To identify drivers and challenges for United States AI in Agriculture.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in United States AI in Agriculture.
  • To conduct the pricing analysis for AI in Agriculture.
  • To identify and analyse the profile of leading players involved in the manufacturing of United States AI in Agriculture.

TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across United States. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analysed the service offerings, distribution channels and presence of all major collaboration service providers across United States.

TechSci Research calculated the market size of United States AI in Agriculture using a bottom-up approach, where data for various end user industries and its application across various product types were recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analysing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company website, news articles, press releases, company annual reports, investor presentations and financial reports were also used by TechSci Research.

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Key Target Audience:

  • Artificial intelligence software and solution providers
  • Artificial intelligence technology providers
  • Electronic hardware equipment manufacturers
  • AI system providers
  • Research organizations and consulting companies.
  • Research Institutes
  • Industry associations
  • Market research and consulting firm.

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as collaboration service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Attribute Details
Base Year 2021
Historical Data 2017 – 2020
Estimated Year 2022
Forecast Period 2023 – 2027
Quantitative Units Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F
Report coverage Revenue forecast, company share, competitive landscape, growth factors, and trends
Segments covered ·         Technology

·         Offering

·         Application

Regional scope Northeast Region, South Region, West Region, Mid-west Region
Key companies profiled IBM, Granular, Microsoft, Deere & Company, Mavrx, Awhere, The Climate Corporation, Agribotix, Descartes Labs, Prospera.
Customization scope 10% free report customization with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options Avail customized purchase options to meet your exact research needs. Explore purchase options
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

Report Scope:

In this report, United States AI in Agriculture market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • United States AI In Agriculture Market, By Technology:
    • Machine Learning
    • Predictive Analytics
    • Computer Vision
  • United States AI In Agriculture Market, By Offering:
    • Hardware
    • Software
    • AI-As-A-Service
  • United States AI In Agriculture Market, By Application:
    • Precision Farming
    • Livestock Monitoring
    • Agriculture Robots
    • Drone
    • Others
  • United States AI In Agriculture Market, by Region:
    • South-Region
    • West-Region
    • Mid-West-Region
    • Northeast-Region

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in AI in Agriculture.

About TechSci Research

TechSci Research is a leading global market research firm publishing premium market research reports. Serving 700 global clients with more than 600 premium market research studies, TechSci Research is serving clients across 11 different industrial verticals. TechSci Research specializes in research-based consulting assignments in high growth and emerging markets, leading technologies and niche applications. Our workforce of more than 100 fulltime Analysts and Consultants employing innovative research solutions and tracking global and country specific high growth markets helps TechSci clients to lead rather than follow market trends.

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