As on date of publishing, this report will capture the impact assessment of COVID-19 on this market and the same will be considered in our market forecast model. Clients purchasing this report between April and June 2020 will be getting a ‘free’ updated market data excel sheet between July and September 2020 accounting for the impact of COVID-19 on the market in the current year 2020 and forecast.

United States AI in Agriculture Market is expected to grow at a double digit CAGR between 2021-2025 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 2019, 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.

Years considered for this report:

Historical Years: 2015-2018

Base Year: 2019

Estimated Year: 2020

Forecast Period: 2021–2025

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.

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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.

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.

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.

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:

  • Market, By Technology:
    • Machine Learning
    • Predictive Analytics
    • Computer Vision
  • Market, By Offering:
    • Hardware
    • Software
    • AI-As-A-Service
  • Market, By Application:
    • Precision Farming
    • Livestock Monitoring
    • Agriculture Robots
    • Drone
    • Others
  • 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.

Available Customizations:

With the given market data, TechSci Research offers customizations according the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Profit Margin Analysis

  • Profit margin analysis in case of direct and indirect sales channel.

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In case you don’t find what you are looking for, please get in touch with our custom research team at

1.    Product Overview

2.    Research Methodology

3.    Impact of COVID-19 on United States AI in Agriculture Market

4.    Executive Summary

5.    Voice of Customers

5.1.  Vendor Satisfaction

5.2.  Product Awareness

5.3.  Overall Satisfaction

5.4.  Challenges

6.    United States AI in Agriculture Market Landscape

7.    United States AI in Agriculture Market Outlook

7.1.  Market Size & Forecast

7.1.1.     By Value         

7.2.  Market Share & Forecast

7.2.1.     By Technology (Machine Learning, Predictive Analytics and Computer Vision)

7.2.2.     By Offering (Hardware, Software and AI-As-A-Service)

7.2.3.     By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone and Others)

7.3.  Market Attractiveness Index

8.    United States Machine Learning AI in Agriculture Market Outlook

8.1.  Market Size & Forecast

8.1.1.     By Value         

8.2.  Market Share & Forecast

8.2.1.     By Application

8.3.  Market Attractiveness Index

9.    United States Predictive Analytics AI in Agriculture Market Outlook

9.1.  Market Size & Forecast

9.1.1.     By Value         

9.2.  Market Share & Forecast

9.2.1.     By Application

9.3.  Market Attractiveness Index

10.  United States Computer Vision AI in Agriculture Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value         

10.2.              Market Share & Forecast

10.2.1.  By Application

10.3.              Market Attractiveness Index

11.  Market Dynamics

11.1.              Drivers

11.2.              Challenges

12.  Market Trends & Developments

13.  Price Point Analysis

14.  Policy & Regulatory

15.  United States Economic Profile

16.  Competitive Landscape

17. Strategic Recommendations

In case you don’t find what you are looking for, please get in touch with our custom research team at