The Asia Pacific Agriculture Analytics Market would witness market growth of 14.1% CAGR during the forecast period (2023-2030).
Increasing government initiatives to implement enhanced agricultural techniques is the main driver of growth factor for the market. In the agriculture industry, data volumes are expanding exponentially. Increasing adoption of Internet of Things (IoT) devices that collect data from connected farm equipment, such as smart tractors and drones, is also fueling the expansion of agriculture analytics. Crop cultivators and agribusiness actors recognize the potential for unearthing advancements in plant genomics, livestock management, soil health, and the accelerated development of new technologies based on big data and analytics.
Agriculture researchers are utilizing artificial intelligence and data science to conduct predictive analytics on farms before delivering actionable insights to farmers. The increasing subscription-based service model seeks to reduce costs for producers and provide them with real-time crop condition updates. In addition, predictive models and daily task optimization will give them complete control over their future harvest.
In order to keep the highest crop yield and quality 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 advanced agricultural technologies. The Indian government has significantly assisted in the expansion and strengthening of India’s agricultural sector. The government is fostering the growth of agriculture through the Ministry of Agriculture through the implementation of a number of initiatives.
Owing to robust economic growth and continuing expansion in the agriculture sector, Asia-Pacific would be a potential market for players, prompting corporations to make substantial investments in the precision farming industry to sustain growth and increase productivity. Moreover, factors such as the massive move towards digital transformation, the increase in cloud deployment, the technical development of farming operations, and the ongoing modernization of the agriculture sector fuel substantial investment in emerging nations. Furthermore, increasing agricultural modernization in nations such as China, India, and Indonesia is one of the most significant regional developments. Thus, these elements are anticipated to generate attractive growth prospects for those who operate in the regional market.
The China market dominated the Asia Pacific Agriculture Analytics Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $293.5 million by 2030. The Japan market is registering a CAGR of 13.4% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 14.8% during (2023 - 2030).
Based on Offering, the market is segmented into Solution and Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming and Others. Based on End User, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers and Government Agencies & Others. Based on Farm Size, the market is segmented into Large Farms and Small & Medium-Sized Farms. Based on Technology, the market is segmented into Remote Sensing & Satellite Imagery, Geographic Information System, Robotics & Automation, Big Data & Cloud Computing, Visualization & Reporting, Blockchain Technology and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
Free Valuable Insights: The Worldwide Agriculture Analytics Market is Projected to reach USD 3.4 Billion by 2030, at a CAGR of 13.1%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, SAP SE, Oracle Corporation, Accenture PLC, SAS Institute, Inc., Tetra Laval International S.A. (DeLaval), Deere & Company, Bayer AG, Iteris, Inc. and Trimble, Inc.
By Offering
By Agriculture Type
By End User
By Farm Size
By Technology
By Country
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