What would be forecast period in the market report?

2017-2027 is the forecast period in the market report. Read More..

Which is base year calculated in the report?

The base year for the report is 2021 Read More..

What segments are covered in market report?

Market is segmented into technology, offering, application and region Read More..

What is the breakup of the market based on the Technology?

Based on technology, market is segmented into machine learning, predictive analytics and computer vision. Read More..

Agriculture
| NA

Global AI in Agriculture Market, By Technology (Machine Learning, Predictive Analytics and Computer Vision), By Offering (Hardware, Software and AI-As-A-Service), By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone and Others), By Company and By Geography, Forecast & Opportunities 2027

Global AI in Agriculture Market is expected to grow at a CAGR of over 22% between 2022-2027. The major factors driving the growth of market includes the growing demand for agricultural production owing to the rising adoption of information management systems, increasing population and technological advancements for increasing crop productivity. Furthermore, the combination of the IoT and AI technology like predictive analytics and machine learning allow farmers to analyse real-time data of temperature, weather circumstances and plant well-being. Based on the region, the AI in agriculture market is segmented into North America, Europe & CIS, APAC, MEA and South America. The AI in agriculture market in Asia Pacific is estimated to grow at the highest CAGR during 2022-2027 owing to increasing adoption of deep learning and computer vision technologies for agricultural applications. Moreover, farmers globally, are increasingly adopting deep learning, machine learning and predictive analytics technologies which further drives the AI in Agriculture Market globally.

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

Objective of the Study:

· To analyse and forecast the market size of AI in Agriculture, in terms of value.

· To classify and forecast global AI in Agriculture based on technology, offering, application and regional distribution.

· To identify drivers and challenges for Global AI in Agriculture.

· To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in Global 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 Global AI in Agriculture.

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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. 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 the globe.

TechSci Research calculated the market size of global 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.

Attribute	Details
Base Year	2021
Historical Data	2017 – 2020
Estimated Year	2022
Forecast Period	2023 – 2027
Quantitative Units	Revenue in USD Million, Volume in Units and CAGR for 2017-2021 and 2022E-2027F
Report coverage	Revenue forecast, volume forecast, company share, competitive landscape, growth factors, and trends
Segments covered	· Technology · Offering · Application
Regional scope	North America; Europe; Asia Pacific; South America; Middle East & Africa
Country scope	United States, Mexico, Canada, China, India, Japan, South Korea, Australia; Singapore, Malaysia; Germany, France, United Kingdom, Italy, Spain, South Africa, UAE, Saudi Arabia, Qatar; Brazil, Argentina, Colombia;
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, Global 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:

Asia Pacific

§ China

§ Japan

§ South Korea

Australia
Singapore
Malaysia

Europe & CIS

§ France

§ Germany

§ United Kingdom

§ Italy

§ Spain

North America

§ United States

§ Mexico

§ Canada

South America

§ Brazil

§ Argentina

§ Colombia

Middle East and Africa

§ South Africa

§ Saudi Arabia

§ UAE

§ Qatar

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.

It is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

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

1. Product Overview

2. Research Methodology

3. Executive Summary

4. Voice of Customers

4.1. Vendor Satisfaction

4.2. Product Awareness

4.3. Overall Satisfaction

5. Impact of COVID-19 Global AI in Agriculture Market

6. Global AI in Agriculture Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

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

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

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

6.3. Market Attractiveness Index

7. Asia-Pacific 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

7.2.2. By Offering

7.2.3. By Application

7.2.4. By Country

7.3. Market Attractiveness Index

7.4. Asia-Pacific: Country Analysis

7.4.1. China AI in Agriculture Market Outlook

7.4.1.1. Market Size & Forecast

7.4.1.1.1. By Value

7.4.1.2. Market Share & Forecast

7.4.1.2.1. By Offering

7.4.1.2.2. By Application

7.4.2. Japan AI in Agriculture Market Outlook

7.4.2.1. Market Size & Forecast

7.4.2.1.1. By Value

7.4.2.2. Market Share & Forecast

7.4.2.2.1. By Offering

7.4.2.2.2. By Application

7.4.3. South Korea AI in Agriculture Market Outlook

7.4.3.1. Market Size & Forecast

7.4.3.1.1. By Value

7.4.3.2. Market Share & Forecast

7.4.3.2.1. By Offering

7.4.3.2.2. By Application

7.4.4. Australia AI in Agriculture Market Outlook

7.4.4.1. Market Size & Forecast

7.4.4.1.1. By Value

7.4.4.2. Market Share & Forecast

7.4.4.2.1. By Offering

7.4.4.2.2. By Application

7.4.5. Singapore AI in Agriculture Market Outlook

7.4.5.1. Market Size & Forecast

7.4.5.1.1. By Value

7.4.5.2. Market Share & Forecast

7.4.5.2.1. By Offering

7.4.5.2.2. By Application

7.4.6. Malaysia AI in Agriculture Market Outlook

7.4.6.1. Market Size & Forecast

7.4.6.1.1. By Value

7.4.6.2. Market Share & Forecast

7.4.6.2.1. By Offering

7.4.6.2.2. By Application

8. Europe & CIS AI in Agriculture Market Outlook

8.1. Market Size & Forecast

8.1.1. By Value

8.2. Market Share & Forecast

8.2.1. By Technology

8.2.2. By Offering

8.2.3. By Application

8.2.4. By Country

8.3. Market Attractiveness Index

8.4. Europe: Country Analysis

8.4.1. France AI in Agriculture Market Outlook

8.4.1.1. Market Size & Forecast

8.4.1.1.1. By Value

8.4.1.2. Market Share & Forecast

8.4.1.2.1. By Offering

8.4.1.2.2. By Application

8.4.2. Germany AI in Agriculture Market Outlook

8.4.2.1. Market Size & Forecast

8.4.2.1.1. By Value

8.4.2.2. Market Share & Forecast

8.4.2.2.1. By Offering

8.4.2.2.2. By Application

8.4.3. United Kingdom AI in Agriculture Market Outlook

8.4.3.1. Market Size & Forecast

8.4.3.1.1. By Value

8.4.3.2. Market Share & Forecast

8.4.3.2.1. By Offering

8.4.3.2.2. By Application

8.4.4. Italy AI in Agriculture Market Outlook

8.4.4.1. Market Size & Forecast

8.4.4.1.1. By Value

8.4.4.2. Market Share & Forecast

8.4.4.2.1. By Offering

8.4.4.2.2. By Application

8.4.5. Spain AI in Agriculture Market Outlook

8.4.5.1. Market Size & Forecast

8.4.5.1.1. By Value

8.4.5.2. Market Share & Forecast

8.4.5.2.1. By Offering

8.4.5.2.2. By Application

9. North America AI in Agriculture Market Outlook

9.1. Market Size & Forecast

9.1.1. By Value

9.2. Market Share & Forecast

9.2.1. By Technology

9.2.2. By Offering

9.2.3. By Application

9.2.4. By Country

9.3. Market Attractiveness Index

9.4. North America: Country Analysis

9.4.1. United States AI in Agriculture Market Outlook

9.4.1.1. Market Size & Forecast

9.4.1.1.1. By Value

9.4.1.2. Market Share & Forecast

9.4.1.2.1. By Offering

9.4.1.2.2. By Application

9.4.2. Mexico AI in Agriculture Market Outlook

9.4.2.1. Market Size & Forecast

9.4.2.1.1. By Value

9.4.2.2. Market Share & Forecast

9.4.2.2.1. By Offering

9.4.2.2.2. By Application

9.4.3. Canada AI in Agriculture Market Outlook

9.4.3.1. Market Size & Forecast

9.4.3.1.1. By Value

9.4.3.2. Market Share & Forecast

9.4.3.2.1. By Offering

9.4.3.2.2. By Application

10. South America AI in Agriculture Market Outlook

10.1. Market Size & Forecast

10.1.1. By Value

10.2. Market Share & Forecast

10.2.1. By Technology

10.2.2. By Offering

10.2.3. By Application

10.2.4. By Country

10.3. Market Attractiveness Index

10.4. South America: Country Analysis

10.4.1. Brazil AI in Agriculture Market Outlook

10.4.1.1. Market Size & Forecast

10.4.1.1.1. By Value

10.4.1.2. Market Share & Forecast

10.4.1.2.1. By Offering

10.4.1.2.2. By Application

10.4.2. Argentina AI in Agriculture Market Outlook

10.4.2.1. Market Size & Forecast

10.4.2.1.1. By Value

10.4.2.2. Market Share & Forecast

10.4.2.2.1. By Offering

10.4.2.2.2. By Application

10.4.3. Colombia AI in Agriculture Market Outlook

10.4.3.1. Market Size & Forecast

10.4.3.1.1. By Value

10.4.3.2. Market Share & Forecast

10.4.3.2.1. By Offering

10.4.3.2.2. By Application

11. Middle East and Africa AI in Agriculture Market Outlook

11.1. Market Size & Forecast

11.1.1. By Value

11.2. Market Share & Forecast

11.2.1. By Technology

11.2.2. By Offering

11.2.3. By Application

11.2.4. By Country

11.3. Market Attractiveness Index

11.4. MEA: Country Analysis

11.4.1. South Africa AI in Agriculture Market Outlook

11.4.1.1. Market Size & Forecast

11.4.1.1.1. By Value

11.4.1.2. Market Share & Forecast

11.4.1.2.1. By Offering

11.4.1.2.2. By Application

11.4.2. Saudi Arabia AI in Agriculture Market Outlook

11.4.2.1. Market Size & Forecast

11.4.2.1.1. By Value

11.4.2.2. Market Share & Forecast

11.4.2.2.1. By Offering

11.4.2.2.2. By Application

11.4.3. UAE AI in Agriculture Market Outlook

11.4.3.1. Market Size & Forecast

11.4.3.1.1. By Value

11.4.3.2. Market Share & Forecast

11.4.3.2.1. By Offering

11.4.3.2.2. By Application

11.4.4. Qatar AI in Agriculture Market Outlook

11.4.4.1. Market Size & Forecast

11.4.4.1.1. By Value

11.4.4.2. Market Share & Forecast

11.4.4.2.1. By Offering

11.4.4.2.2. By Application

12. Market Dynamics

12.1. Drivers

12.2. Challenges

13. Market Trends & Developments

14. Price Point Analysis

15. Policy & Regulatory

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 [email protected]

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Global AI in Agriculture Market

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Global AI in Agriculture Market