Dublin, Feb. 10, 2021 (GLOBE NEWSWIRE) -- The "Artificial Intelligence 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 revenue generated in the global AI in agriculture market share is expected to increase to $11,200.1 million in 2030 from $671.6 million in 2019, at a 30.5% CAGR during 2020-2030
Service, based on type, is projected to be the faster-growing category during the forecast period. With an increasing number of farmers wanting to implement AI in their practices, the demand for training and equipment installation and maintenance services is also rising.
The highest CAGR, under the application segment of the AI in the agriculture market, would be experienced by the drone analytics division. With the surging requirement for high-quality crops by the continuously growing population, heavy investments are being put in agricultural drones. The demand for such devices is rising rapidly in China and the U.S., which is driving the advance of the drone analytics division.
The most important factor leading to the growth of the AI in the agriculture market is the increasing demand for food. The United Nations Department of Social and Economic Affairs (UN-DESA) claims that the worldwide population would rise from 7.7 billion currently to 8.6 billion by 2030. Additionally, with the changing consumption pattern of the populace, increasing disposable income, and high rate of urbanization, the demand for agricultural products is burgeoning. Due to this, the agrarian community is pursuing an increase in the farms' productivity, by leveraging AI.
Developing regions are expected to offer ample opportunities to the players in the AI in the agriculture market in the coming years. In emerging economies such as Brazil, India, and South Africa, the usage of AI in the agricultural domain is quite low; however, with the governments in these countries extending their support for the adoption of advanced technologies to grow crops, market players can hope to augment their revenue substantially here. For instance, the Maharashtra government began a partnership with the World Economic Forum in January 2019, to use drones for collecting insights on farmlands.
Software is expected to witness the fastest advance in the AI in the agriculture market, on the basis of product type, in the coming years. This is attributed to the fact that the use of AI for smart greenhouse management, soil management, and livestock monitoring necessitates advanced software to control and operate the complex devices and instruments. In 2019, machine learning was the largest technology category in the market, as farmers are rapidly adopting it to augment their yield, by combining data technologies with advanced agricultural science.
On a geographical basis, Europe and North America dominated the AI in the agriculture market in 2019, with a combined revenue share of around 70.0%. During the forecast period, the highest CAGR would be witnessed in Asia-Pacific (APAC), as the developing countries in the region, including China, India, Thailand, and Indonesia, are rapidly integrating agricultural robots, drone analytics, precision farming, and other advanced techniques to raise the productivity of farms.
Owing to the presence of numerous leading players, such as Microsoft Corporation, IBM Corporation, Deere & Company, Bayer AG, AgEagle Aerial Systems Inc., A.A.A Taranis Visual Ltd., Raven Industries, AGCO Corporation, Trimble Inc., Ag Leader Technology, Gamaya SA, Google LLC, and Granular Inc., the global AI in agriculture market is quite competitive.
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
22.214.171.124 Machine Learning
126.96.36.199 Computer Vision
188.8.131.52 Predictive Analytics
4.1.3 By Application
184.108.40.206 Agricultural Robots
220.127.116.11 Precision Farming
18.104.22.168 Drone Analytics
22.214.171.124 Livestock Monitoring
4.2 Value Chain Analysis
4.3 Market Dynamics
126.96.36.199 Increasing use of robotics in agriculture
188.8.131.52 Increasing use of smart sensors in agriculture
184.108.40.206 Growing demand for agricultural production
220.127.116.11 Rising adoption of internet of things (IoT)
18.104.22.168 Increasing demand for monitoring of livestock
22.214.171.124 Increasing demand for drones in agricultural farms
126.96.36.199 Impact analysis of drivers on market forecast
188.8.131.52 Lack of awareness and high cost of AI solutions
184.108.40.206 Impact analysis of restraints on market forecast
220.127.116.11 Growth opportunities from developing countries
18.104.22.168 AI powered chatbots
4.4 Porter's Five Forces Analysis
Chapter 5. Global Market Size and Forecast
5.1 By Type
5.1.1 By Product
5.1.2 By Service
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. Competitive Landscape
11.1 Analysis of Key Players in the Market
11.2 List of Key Players and Their Offerings
11.3 Competitive Benchmarking of Key Players
11.4 Global Strategic Developments of Key Players
11.4.1 Mergers and Acquisitions
11.4.2 Product Launches
Chapter 12. Company Profiles
International Business Machines (IBM) Corporation
Deere & Company
A.A.A Taranis Visual Ltd.
AgEagle Aerial Systems Inc.
Raven Industries Inc.
Ag Leader Technology
For more information about this report visit https://www.researchandmarkets.com/r/ki506j
CONTACT: CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager firstname.lastname@example.org For E.S.T Office Hours Call 1-917-300-0470 For U.S./CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900