DUBLIN--(BUSINESS WIRE)--The "AI in Agriculture Market Research Report: By Type, Technology, Application - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.
The global AI in agriculture market is predicted to generate a revenue of $8,379.5, increasing from $852.2 million, and is expected to witness a 24.8% CAGR during the forecast period (2020-2030).
As the population across the globe has been growing, the demand for agricultural products has been growing as well. Countries including Brazil, India, China, and the U.S. are witnessing high demand for food products, owing to rapid urbanization, increasing disposable income, and changing consumption habits of the growing population. In order to cater to the needs of this increasing population, the agriculture industry has been making use of advanced technologies, including the artificial intelligence (AI), for increasing efficiency and productivity on fields.
Attributed to this, the global AI in agriculture market is expected to register substantial growth in the near future. By making use of AI, farmers can monitor their live-stock in real-time. AI solutions including, image classification with body condition score and feeding patterns and facial recognition for livestock, dairy farms can now individually monitor the behavioral aspects of animals. In addition to this, farmers are using machine vision, which aids them in recognizing facial features and hide patterns.
Farmers are also able to monitor water and food intake of livestock and record their body temperature and behavior. It is because of such advantages of AI that its demand in the agricultural sector is increasing at a rapid pace.
On the basis of type, the market is divided into services and product, between which, the product division accounted for the major share of the market in 2019, owing to the growing use of AI-based software. The division is further categorized into software and hardware, between which, the hardware category held the larger share of the market in the past. The demand for data storage devices, sensing systems, and automation & control systems is increasing for farm operations.
The service division is predicted to register the faster growth during the forecast period, because of the increasing adoption of AI solutions in the agricultural sector, which is creating high demand for proper maintenance, installation, and training services among industry stakeholders and farmers. The division is further categorized into professional and managed, between which, the professional category is projected to progress at a faster pace during the forecast period. This is due to the rising need for training, support, and maintenance services by farmers.
North America emerged as the largest AI in agriculture market during the forecast period (2014-2019) and is further expected to hold the largest share of the market during the forecast period as well. The early adoption of advanced technologies, including computer vision and machine learning, for different agricultural applications, such as livestock management, precision farming, soil management, and greenhouse management. Furthermore, the growing adoption of IoT is also leading to the growth of the regional market.
Hence, the market is being driven by the need for increasing productivity on agricultural fields and rising need for real-time monitoring of livestock.
Key Topics Covered:
Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.4 Key Stakeholders
Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study
Chapter 3. Executive Summary
Chapter 4. Introduction
4.1 Definition of Market Segments
4.1.1 By Type
4.1.2 By Technology
126.96.36.199 Machine learning
188.8.131.52 Computer vision
184.108.40.206 Predictive analytics
4.1.3 By Application
220.127.116.11 Agricultural robots
18.104.22.168 Precision farming
22.214.171.124 Drone analytics
126.96.36.199 Livestock monitoring
4.2 Value Chain Analysis
4.3 Market Dynamics
188.8.131.52 Increasing use of robotics in agriculture
184.108.40.206 Increasing use of smart sensors in agriculture
220.127.116.11 Growing demand for agricultural production
18.104.22.168 Rising adoption of internet of things (IoT)
22.214.171.124 Increasing demand for monitoring of livestock
126.96.36.199 Increasing demand for drones in agricultural farms
188.8.131.52 Impact analysis of drivers on market forecast
184.108.40.206 Lack of awareness and high cost of AI solutions
220.127.116.11 Impact analysis of restraints on market forecast
18.104.22.168 Growth opportunities from developing countries
22.214.171.124 AI powered chatbots
4.4 Impact of COVID-19 on AI in Agriculture Market
4.4.1 Current Scenario
4.4.2 COVID-19 Scenario
4.4.3 Future Scenario
4.5 Porter's Five Forces Analysis
Chapter 5. Global Market Size and Forecast
5.1 By Type
5.1.1 Product, by Type
5.1.2 Service, by type
5.2 By Technology
5.3 By Application
5.4 By Region
Chapter 6. North America Market Size and Forecast
Chapter 7. Europe Market Size and Forecast
Chapter 8. APAC Market Size and Forecast
Chapter 9. LATAM Market Size and Forecast
Chapter 10. MEA Market Size and Forecast
Chapter 11. Major Countries
11.1 U.S. AI in Agriculture Market
11.2 U.K. AI in Agriculture Market
11.3 Germany AI in Agriculture Market
11.4 China AI in Agriculture Market
11.5 Japan AI in Agriculture Market
Chapter 12. Competitive Landscape
12.1 Analysis of Key Players in the Market
12.2 List of Key Players and Their Offerings
12.3 Competitive Benchmarking of Key Players
12.4 Global Strategic Developments of Key Players
Chapter 13. Company Profiles
13.1 Business Overview
13.2 Product and Service Offerings
13.3 Key Financial Summary
- IBM Corporation
- Microsoft Corporation
- Bayer AG
- Deere & Company
- A.A.A Taranis Visual Ltd.
- AgEagle Aerial Systems Inc.
- AGCO Corporation
- Raven Industries Inc.
- Ag Leader Technology
- Trimble Inc.
- Google LLC
- Gamaya SA
- Granular Inc.
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