The Asia Pacific Artificial Intelligence in Agriculture Market should witness market growth of 25.2% CAGR during the forecast period (2022-2028).
The rigorous process of species selection entails searching for specific genes that influence how effectively plants utilize water and nutrients, how well they adapt to climatic change, how well they resist disease, and whether they are more nutritious or have better flavors. The productivity of crops in various climates is examined using machine learning and deep learning techniques. Based on these data, it is possible to create a probability model that predicts which genes are most likely to confer a good trait on a plant.
The implementation of cattle face recognition technology is another driving factor for the market. Due to the implementation of modern metrics, including bovine facial recognition systems, photo categorization, body condition score, and eating patterns, dairy farms can now individually monitor every behavioral characteristic of a herd of cattle.
In order to keep the highest crop yield andquality to meet the nation's growing demand for food, there is a growing demand for modern agricultural technologies. The increasing expenditures of the Indian government on research and development (R&D) projects to support advances in agricultural science are pushing greater demand for grow lights. The Indian government has significantly assisted in the expansion and strengthening of India's agricultural sector. The government is promoting the development of agriculture via the Ministry of Agriculture by implementing various initiatives. Thus, these elements are anticipated to generate attractive growth prospects for those who operate in the regional artificial intelligence in agricultural market.
The China market dominated the Asia Pacific Artificial Intelligence in Agriculture Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $390.4 million by 2028. The Japan market is anticipated to grow at a CAGR of 24.4% during (2022-2028). Additionally, The India market would exhibit a CAGR of 26% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Computer Vision and Predictive Analytics. Based on Application, the market is segmented into Drone Analytics, Precision Farming, Agricultural Robots, Labor Management, Livestock Monitoring and Others. Based on Offering, the market is segmented into Software, Hardware, AI-as-a-Service and Service. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Deere & Company, IBM Corporation, Microsoft Corporation, Climate LLC (Bayer AG), Farmers Edge Inc, AgEagle Aerial Systems, Inc., Prospera Technologies, Inc. (Valmont Industries, Inc.), A.A.A Taranis Visual Ltd., CropIn Technology Solutions Private Limited, and Corteva, Inc. (Dow AgroSciences LLC).
The rigorous process of species selection entails searching for specific genes that influence how effectively plants utilize water and nutrients, how well they adapt to climatic change, how well they resist disease, and whether they are more nutritious or have better flavors. The productivity of crops in various climates is examined using machine learning and deep learning techniques. Based on these data, it is possible to create a probability model that predicts which genes are most likely to confer a good trait on a plant.
The implementation of cattle face recognition technology is another driving factor for the market. Due to the implementation of modern metrics, including bovine facial recognition systems, photo categorization, body condition score, and eating patterns, dairy farms can now individually monitor every behavioral characteristic of a herd of cattle.
In order to keep the highest crop yield andquality to meet the nation's growing demand for food, there is a growing demand for modern agricultural technologies. The increasing expenditures of the Indian government on research and development (R&D) projects to support advances in agricultural science are pushing greater demand for grow lights. The Indian government has significantly assisted in the expansion and strengthening of India's agricultural sector. The government is promoting the development of agriculture via the Ministry of Agriculture by implementing various initiatives. Thus, these elements are anticipated to generate attractive growth prospects for those who operate in the regional artificial intelligence in agricultural market.
The China market dominated the Asia Pacific Artificial Intelligence in Agriculture Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $390.4 million by 2028. The Japan market is anticipated to grow at a CAGR of 24.4% during (2022-2028). Additionally, The India market would exhibit a CAGR of 26% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Computer Vision and Predictive Analytics. Based on Application, the market is segmented into Drone Analytics, Precision Farming, Agricultural Robots, Labor Management, Livestock Monitoring and Others. Based on Offering, the market is segmented into Software, Hardware, AI-as-a-Service and Service. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Deere & Company, IBM Corporation, Microsoft Corporation, Climate LLC (Bayer AG), Farmers Edge Inc, AgEagle Aerial Systems, Inc., Prospera Technologies, Inc. (Valmont Industries, Inc.), A.A.A Taranis Visual Ltd., CropIn Technology Solutions Private Limited, and Corteva, Inc. (Dow AgroSciences LLC).
Scope of the Study
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Application
- Drone Analytics
- Precision Farming
- Agricultural Robots
- Labor Management
- Livestock Monitoring
- Others
By Offering
- Software
- Hardware
- AI-as-a-Service
- Service
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Climate LLC (Bayer AG)
- Farmers Edge Inc
- AgEagle Aerial Systems, Inc.
- Prospera Technologies, Inc. (Valmont Industries, Inc.)
- A.A.A Taranis Visual Ltd.
- CropIn Technology Solutions Private Limited
- Corteva, Inc. (Dow AgroSciences LLC)
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific Artificial Intelligence in Agriculture Market by Technology
Chapter 5. Asia Pacific Artificial Intelligence in Agriculture Market by Application
Chapter 6. Asia Pacific Artificial Intelligence in Agriculture Market by Offering
Chapter 7. Asia Pacific Artificial Intelligence in Agriculture Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Climate LLC (Bayer AG)
- Farmers Edge Inc
- AgEagle Aerial Systems, Inc.
- Prospera Technologies, Inc. (Valmont Industries, Inc.)
- A.A.A Taranis Visual Ltd.
- CropIn Technology Solutions Private Limited
- Corteva, Inc. (Dow AgroSciences LLC)
Methodology
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