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Market Analysis: Self-Supervised Learning Poised for Exponential Growth at a CAGR of 33.1% from 2022 to 2031

04-08-2024 03:12 PM CET | IT, New Media & Software

Press release from: Allied Market Research

Self Supervised Learning Market

Self Supervised Learning Market

According to a new report published by Allied Market Research, titled, "Self Supervised Learning Market," The self-supervised learning market size was valued at $7.5 billion in 2021, and is estimated to reach $126.8 billion by 2031, growing at a CAGR of 33.1% from 2022 to 2031.

Request Sample Report at: https://www.alliedmarketresearch.com/request-sample/A31540

Self-supervised learning (SSL) is an evolving machine learning technique poised to solve challenges posed by the over-dependence of labeled data. For many years, building intelligent systems using machine learning methods has been largely dependent on good quality labeled data. Consequently, cost of high-quality annotated data is a major bottleneck in the overall training process. As per IBM's global AI adoption index 2022 report, 34% of respondents believed that a lack of AI skills restrain adoption of AI for businesses. Self-supervised learning is at a growing stage that requires skilled workforce for development. Hence, lack of skilled workforce is expected to restrain the self supervised learning market growth.

Furthermore, increase automation in banking processes and increase use of internet and connected devices is boosting the growth of the global self supervised learning market. In addition, rise in demand for predictive analytics is positively impacts self-supervised learning market growth. However, lack of skilled workforce for machine learning is hampering the self-supervised learning market growth. On the contrary, rapid changes in business model technology is expected to offer remunerative opportunities for expansion during the self supervised learning market forecast.

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Covid-19 scenario:

• The COVID-19 pandemic favorably impacted the growth of the self-supervised learning industry across the globe with a rise in smartphone users, the surge in acceptance of connected devices, and the thriving e-commerce industry.

• Thriving digital and artificial intelligence industry helped in controlling the spread of the COVID-19 virus. Apart from this, post-pandemic has helped in reducing operational costs for various business operations of a firm. This will also help various businesses to recover losses incurred during the COVID-19 pandemic.

• The pandemic outbreak helped doctors and healthcare workers in delivering their services effectively through the use of self-supervised learning tools, thereby driving the growth of the global market during the COVID-19 period.

In terms of industry vertical, the BFSI segment contributed to the highest market share in 2021, accounting for nearly one-third of the global self supervised learning market share. Moreover, the same segment is set to make notable contributions toward the global market share in 2031. The growth of the segment over the forecast timeline can be credited emergence of paperless storage, electronic banking, and virtualization across the BFSI industry which propels the demand for safe, cost-effective, and energy-efficient platforms. However, the media and entertainment segment is predicted to register the fastest CAGR of 35.5% during the forecast timeline. The segmental growth over the forecast timeframe can be attributed to thriving virtual media entertainment activities offering high-quality content and video-conferencing on myriad devices.

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By Region, North America contributed notably toward the global self-supervised learning market share in 2021. The region is set to contribute more than one-third of the global market share in 2021. However, the Asia-Pacific self supervised learning market is slated to contribute significantly toward the global market size in 2031. Furthermore, the Asia-Pacific self supervised learning industry is anticipated to record the highest CAGR of 35.1% over 2022-2031. The regional market growth over the projected timespan is owing to the growing penetration of self supervised learning tools in firms across countries such as India and China.

Major market players:

• Amazon Web Service (AWS)
• Alison
• Alphabet
• Apple, Inc.
• Baidu, Inc.
• Brain4ce Education Solutions Pvt. Ltd.
• DataCamp, Inc.
• Dataiku
• Databricks
• Datarobot, Inc.
• EDX LLC
• International Business Machine (IBM)
• Microsoft Corporation
• Meta Platforms, Inc.
• SAS Institute
• The MathWorks, Inc.
• Tesla, Inc.
• Samsung Electronics Co. Ltd.

The report analyzes these key players in the global self supervised learning market. These players have implemented key business strategies such as strategic expansion, new product launches, alliances, and joint ventures for enhancing market penetration and reinforcing their position in the industry. The report helps the target audience in determining the market performance, performance of each segment, product portfolio development in the market, and contributions made by each player to the market expansion.

Access the full summary at: https://www.alliedmarketresearch.com/self-supervised-learning-market-A31540

Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, Europe, or Asia.

If you have special requirements, please tell us, and we will offer you the report as per your requirements.

Lastly, this report provides market intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision-making for the existing market players as well as those willing to enter the market.

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About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP, based in Portland, Oregon. AMR provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients in making strategic business decisions and achieving sustainable growth in their respective market domains.

AMR launched its user-based online library of reports and company profiles, Avenue. An e-access library is accessible from any device, anywhere, and at any time for entrepreneurs, stakeholders, researchers, and students at universities. With reports on more than 60,000 niche markets with data comprising 600,000 pages along with company profiles on more than 12,000 firms, Avenue offers access to the entire repository of information through subscriptions. A hassle-free solution to clients' requirements is complemented with analyst support and customization requests.

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