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 the market include 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 allows farmers to analyze real-time data on 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 the Asia Pacific is estimated to grow at the highest CAGR during 2022-2027 owing to the 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 drive the AI in Agriculture Market globally.
Some of the leading players in the global AI in the Agriculture market
- IBM
- Granular
- Microsoft
- Deere & Company
- Mavrx
- Awhere, The Climate Corporation, Agribotix, Descartes Labs, Prospera, etc.
The objective of the Study for AI in Agriculture Market
- To analyze 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 analyze 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 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 analyzed 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 industry experts and company representatives and externally validated them by analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations, and financial reports were also used by TechSci Research.
Key Target Audience of AI in Agriculture Market
- 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 for AI in Agriculture Market
In this report, Global AI in Agriculture market has been segmented into the 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