The Asia Pacific Self-supervised Learning Market would witness market growth of 33.9% CAGR during the forecast period (2022-2028).
The best results are typically obtained through supervision. The more a human expert is involved, the simpler it is to identify and address the issue. However, this strategy is very expensive & slow at scale. Only large corporations have the financial means to dedicate entire departments to this task, and even then, productivity is still quite low.
In order to fine-tune the representations with only a few labels for the supervised downstream task, self-supervised learning first learns useful representations of the data from an unlabeled pool of data using self-supervision. The subsequent task could be something as straightforward as image classification or something more complicated like object detection, semantic segmentation, etc. Creating an auxiliary pre-text task for the model from the input data itself is the basic concept behind self-supervised learning; as the model completes the auxiliary task, it learns about the underlying structure of the data.
China's government is accelerating the digital transformation of its industries to previously unheard-of levels. Beijing also needs to increase the inclusivity of digital public services in order to improve the governance model of the digital economy. The Chinese government is doing this by increasing funding for 6G research and development and encouraging innovation in important fields such as integrated circuits and artificial intelligence (AI).
The China market dominated the Asia Pacific Self-supervised Learning Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $3,828.9 million by 2028. The Japan market is estimated to grow a CAGR of 33.1% during (2022-2028). Additionally, The India market would experience a CAGR of 34.7% during (2022-2028).
Based on End-use, the market is segmented into BFSI, Advertising & Media, Software Development (IT), Automotive & Transportation, Healthcare, and Others. Based on Technology, the market is segmented into Natural Language Processing (NLP), Computer Vision, and Speech Processing. 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 Baidu, Inc., Apple, Inc., Tesla, Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Meta Platforms, Inc., SAS Institute, Inc., The MathWorks, Inc., and DataRobot, Inc.
The best results are typically obtained through supervision. The more a human expert is involved, the simpler it is to identify and address the issue. However, this strategy is very expensive & slow at scale. Only large corporations have the financial means to dedicate entire departments to this task, and even then, productivity is still quite low.
In order to fine-tune the representations with only a few labels for the supervised downstream task, self-supervised learning first learns useful representations of the data from an unlabeled pool of data using self-supervision. The subsequent task could be something as straightforward as image classification or something more complicated like object detection, semantic segmentation, etc. Creating an auxiliary pre-text task for the model from the input data itself is the basic concept behind self-supervised learning; as the model completes the auxiliary task, it learns about the underlying structure of the data.
China's government is accelerating the digital transformation of its industries to previously unheard-of levels. Beijing also needs to increase the inclusivity of digital public services in order to improve the governance model of the digital economy. The Chinese government is doing this by increasing funding for 6G research and development and encouraging innovation in important fields such as integrated circuits and artificial intelligence (AI).
The China market dominated the Asia Pacific Self-supervised Learning Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $3,828.9 million by 2028. The Japan market is estimated to grow a CAGR of 33.1% during (2022-2028). Additionally, The India market would experience a CAGR of 34.7% during (2022-2028).
Based on End-use, the market is segmented into BFSI, Advertising & Media, Software Development (IT), Automotive & Transportation, Healthcare, and Others. Based on Technology, the market is segmented into Natural Language Processing (NLP), Computer Vision, and Speech Processing. 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 Baidu, Inc., Apple, Inc., Tesla, Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Meta Platforms, Inc., SAS Institute, Inc., The MathWorks, Inc., and DataRobot, Inc.
Scope of the Study
Market Segments Covered in the Report:
By End-use
- BFSI
- Advertising & Media
- Software Development (IT)
- Automotive & Transportation
- Healthcare
- Others
By Technology
- Natural Language Processing (NLP)
- Computer Vision
- Speech Processing
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Baidu, Inc.
- Apple, Inc.
- Tesla, Inc.
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Meta Platforms, Inc.
- SAS Institute, Inc.
- The MathWorks, Inc.
- DataRobot, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
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- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific Self-supervised Learning Market by End-use
Chapter 5. Asia Pacific Self-supervised Learning Market by Technology
Chapter 6. Asia Pacific Self-supervised Learning Market by Country
Chapter 7. Company Profiles
Companies Mentioned
- Baidu, Inc.
- Apple, Inc.
- Tesla, Inc.
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Meta Platforms, Inc.
- SAS Institute, Inc.
- The MathWorks, Inc.
- DataRobot, Inc.
Methodology
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