The Asia Pacific Machine Learning Model Operationalization Management (MLOps) Market would witness market growth of 40.3% CAGR during the forecast period (2022-2028).
Machine learning is one of the main growth drivers in the service sector, along with rising interest in cloud computing, AI, and cognitive computing. Increasing use of analytical solutions, the development of the artificial intelligence & cognitive computing industry, expanding application areas, and a lack of skilled personnel are some factors boosting demand for cloud-based solutions like cloud computing.
A model is just as trustworthy as the data it was trained on. This emerging realization prompts a fundamental transition from model-centric to data-centric machine learning solution development. The information is improved iteratively while the code is kept static in the data-centric approach.
Concerning the steel flaw identification and surface inspection use cases, this technique works well; enhancing the data has a more significant impact on model accuracy than upgrading the code. When training on small datasets where each item can significantly impact the eventual model's performance, "good" data becomes even more crucial.
The startup ecosystems in China, India, the Philippines, and other developing nations in the region are vibrant and active thanks to a labour force that is getting better and more educated, which supports the growth of regional markets. Additionally, the Japanese government is implementing a variety of initiatives to promote AI and machine learning across the nation. This is in addition to a surge in the use of machine learning services, which is propelling the industry in Japan.
The China market dominated the Asia Pacific Machine Learning Model Operationalization Management (MLOps) Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $591.5 million by 2028. The Japan market is estimated to grow a CAGR of 39.5% during (2022 - 2028). Additionally, The India market would experience a CAGR of 41.2% during (2022 - 2028).
Based on Component, the market is segmented into Platform and Services. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Manufacturing, Retail & Ecommerce, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, and Others. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on Deployment Mode, the market is segmented into Cloud and On-premise. 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 Machine Learning Model Operationalization Management (MLOps) Market is Projected to reach USD 8.5 Billion by 2028, at a CAGR of 38.9%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Hewlett-Packard enterprise Company, Alteryx, Inc., Cloudera, Inc., DataRobot, Inc., Domino Data Lab, Inc., and H2O.ai, Inc.
By Component
By Vertical
By Organization size
By Deployment Mode
By Country
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