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PUBLISHER: Grand View Research | PRODUCT CODE: 1122290
PUBLISHER: Grand View Research | PRODUCT CODE: 1122290
Self-supervised Learning Market Size, Share & Trends Analysis Report By End Use (Healthcare, BFSI), By Technology (NLP, Computer Vision, Speech Processing), By Region (North America, Europe, Asia Pacific), And Segment Forecasts, 2022 - 2030
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Self-supervised Learning Market Growth & Trends:
The global self-supervised learning market size is anticipated to reach USD 89.68 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 33.4% from 2022 to 2030. Self-supervised learning is a machine learning technique used prominently in Natural Language Processing (NLP), followed by computer vision and speech processing applications. Applications of self-supervised learning include paraphrasing, colorization, and speech recognition.
The COVID-19 pandemic had a positive impact on the market. More businesses adopted AI and Machine Learning as a response to the COVID-19 pandemic. Many prominent market players such as U.S.-based Amazon Web Services, Inc., Google, and Microsoft witnessed a rise in revenue during the pandemic. Moreover, accelerated digitalization also contributed to the adoption of self-supervised learning applications. For instance, in April 2020, Google Cloud, a business segment of Google, launched an Artificial Intelligence (AI) chatbot that provides critical information to fight the COVID-19 pandemic.
Many market players offer solutions for various applications such as text-to-speech and language translation & prediction. Moreover, these players are researching in self-supervised learning. For instance, U.S.-based Meta has been advancing in self-supervised learning research and has developed various algorithms and models. In February 2022, Meta announced new advances in the company's self-supervised computer vision model SEER. The model is more powerful and is expected to enable the company in building computer vision products.
Self-supervised LearningMarket Report Highlights:
- In terms of end-use, the BFSI segment accounted for the largest revenue share of 18.3% in 2021 and is expected to retain its position over the forecast period. This can be attributed to the increasing adoption of technologies such as AI and ML in the segment. The advertising & media segment is likely to expand at the highest CAGR of 33.7 % during the forecast period.
- Based on technology, the Natural Language Processing (NLP) segment dominated the market with a share of 38.6% in 2021 and is also expected to grow at the highest CAGR of 34.1% during the forecast period. This can be attributed to the variety and penetration of NLP applications.
- North America held the largest share of 31.7% in 2021 and is expected to retain its position over the forecast period. This can be attributed to the presence of a large number of market players in the region. Moreover, the presence of specialists and developed technology infrastructure are aiding the growth of the market.
- In March 2022, the Australian government announced an investment of USD 30.5 million for establishing four digital capability and Artificial Intelligence (AI) centers. The government aims to drive the commercialization of Australia's AI research with this investment.
- In July 2021, DataRobot, Inc. announced the acquisition of Algorithmia Inc., a U.S.-based Machine Learning Operations (MLOps) software platform. The platform is made for IT operations specialists' needs, enabling organizations to address high-volume and complex model production securely and efficiently. DataRobot, Inc. aims to provide customers with a platform for running any machine learning model with this acquisition.
Product Code: GVR-4-68039-971-4
Table of Contents
Chapter 1 Methodology and Scope
- 1.1 Information Procurement
- 1.1.1 Purchased database
- 1.1.2 GVR's internal database
- 1.1.3 Secondary sources & third-party perspective
- 1.1.4 Primary research
- 1.2 Information Analysis
- 1.2.1 Data analysis models
- 1.3 Market Formulation and Data Visualization
- 1.4 Data Validation and Publishing
Chapter 2 Executive Summary
- 2.1 Market Outlook
- 2.2 Segment Outlook
Chapter 3 Market Variables, Trends & Scope
- 3.1 Market Lineage Outlook
- 3.1.1 Parent market outlook
- 3.2 Penetration & Growth Prospect Mapping
- 3.3 Industry Value Chain Analysis
- 3.4 Regulatory Scenario
- 3.5 Market Dynamics
- 3.5.1 Market driver analysis
- 3.5.1.1 Growing applications of technologies such as voice recognition and face detection
- 3.5.1.2 Increasing demand to streamline workflow across industries
- 3.5.2 Market restraint/challenges analysis
- 3.5.2.1 Lack of skilled workforce
- 3.5.3 Market opportunity analysis
- 3.5.3.1 Increasing R&D activities in technology companies
- 3.5.1 Market driver analysis
- 3.6 PEST Analysis
- 3.7 Porter's Five Forces Analysis
- 3.8 COVID-19 Impact on Self-supervised Learning Market
Chapter 4 Self-supervised Learning Market: End-use Estimates & Trend Analysis
- 4.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (USD Million)
- 4.2 End-use Movement Analysis & Market Share, 2021 & 2030
- 4.3 Healthcare
- 4.3.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 4.4 BFSI
- 4.4.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 4.5 Automotive & Transportation
- 4.5.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 4.6 Software Development (IT)
- 4.6.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 4.7 Advertising & Media
- 4.7.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 4.8 Others
- 4.8.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 5 Self-supervised Learning Market: Technology Estimates & Trend Analysis
- 5.1 Market Size Estimates & Forecasts and Trend Analysis, 2017 - 2030 (USD Million)
- 5.2 Technology Movement Analysis & Market Share, 2021 & 2030
- 5.3 Natural Language Processing (NLP)
- 5.3.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 5.4 Computer Vision
- 5.4.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
- 5.5 Speech Processing
- 5.5.1 Market size estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 6 Self-supervised Learning Market: Regional Estimates & Trend Analysis
- 6.1 Self-supervised Learning Market by Region, 2021 & 2030
- 6.2 Regional Movement Analysis & Market Share, 2021 & 2030
- 6.3 North America
- 6.3.1 North America self-supervised learning market, 2017 to 2030 (USD Million)
- 6.3.2 North America self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.3.3 North America self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.3.4 U.S.
- 6.3.4.1 U.S. self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.3.4.2 U.S. self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.3.5 Canada
- 6.3.5.1 Canada self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.3.5.2 Canada self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.4 Europe
- 6.4.1 Europe self-supervised learning market, 2017 to 2030 (USD Million)
- 6.4.2 Europe self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.4.3 Europe self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.4.4 U.K.
- 6.4.4.1 U.K. self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.4.4.2 U.K. self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.4.5 Germany
- 6.4.5.1 Germany self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.4.5.2 Germany self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.4.6 France
- 6.4.6.1 France self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.4.6.2 France self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.4.7 Italy
- 6.4.7.1 Italy self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.4.7.2 Italy self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.4.8 Rest of Europe
- 6.4.8.1 Rest of Europe self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.4.8.2 Rest of Europe self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.5 Asia Pacific
- 6.5.1 Asia Pacific self-supervised learning market, 2017 to 2030 (USD Million)
- 6.5.2 Asia Pacific self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.5.3 Asia Pacific self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.5.4 China
- 6.5.4.1 China self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.5.4.2 China self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.5.5 India
- 6.5.5.1 India self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.5.5.2 India self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.5.6 Japan
- 6.5.6.1 Japan self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.5.6.2 Japan self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.5.7 Australia
- 6.5.7.1 Australia self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.5.7.2 Australia self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.5.8 Rest of Asia Pacific
- 6.5.8.1 Rest of Asia Pacific self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.5.8.2 Rest of Asia Pacific self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.6 Latin America
- 6.6.1 Latin America self-supervised learning market, 2017 to 2030 (USD Million)
- 6.6.2 Latin America self-supervised learning market, by end-use, 2017 TO 2030 (USD Million)
- 6.6.3 Latin America self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.6.4 Brazil
- 6.6.4.1 Brazil self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.6.4.2 Brazil self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.6.5 Mexico
- 6.6.5.1 Mexico self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.6.5.2 Mexico self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.6.6 Rest of Latin America
- 6.6.6.1 Rest of Latin America self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.6.6.2 Rest of Latin America self-supervised learning market, by technology, 2017 to 2030 (USD Million)
- 6.7 Middle East & Africa (MEA)
- 6.7.1 Middle East & Africa (MEA) self-supervised learning market, 2017 to 2030 (USD Million)
- 6.7.2 Middle East & Africa (MEA) self-supervised learning market, by end-use, 2017 to 2030 (USD Million)
- 6.7.3 Middle East & Africa (MEA) self-supervised learning market, by technology, 2017 to 2030 (USD Million)
Chapter 7 Competitive Analysis
- 7.1 Key Competitor Overview, 2021
- 7.2 Recent Developments & Impact Analysis, by Key Market Participants
- 7.3 Heat Map Analysis
- 7.4 List of Market Players
- 7.5 Vendor Landscape
Chapter 8 Competitive Landscape
- 8.1 IBM
- 8.1.1 Company overview
- 8.1.2 Financial performance
- 8.1.3 Product benchmarking
- 8.1.4 Recent developments
- 8.2 Alphabet Inc. (Google LLC)
- 8.2.1 Company overview
- 8.2.2 Financial performance
- 8.2.3 Product benchmarking
- 8.2.4 Recent developments
- 8.3 Microsoft
- 8.3.1 Company overview
- 8.3.2 Financial performance
- 8.3.3 Product benchmarking
- 8.3.4 Recent developments
- 8.4 Amazon Web Services, Inc.
- 8.4.1 Company overview
- 8.4.2 Financial performance
- 8.4.3 Product benchmarking
- 8.4.4 Recent developments
- 8.5 SAS Institute Inc.
- 8.5.1 Company overview
- 8.5.2 Financial performance
- 8.5.3 Product benchmarking
- 8.5.4 Recent developments
- 8.6 Dataiku
- 8.6.1 Company overview
- 8.6.2 Financial performance
- 8.6.3 Product benchmarking
- 8.7 The MathWorks, Inc.
- 8.7.1 Company overview
- 8.7.2 Financial performance
- 8.7.3 Product benchmarking
- 8.7.4 Recent developments
- 8.8 Meta
- 8.8.1 Company overview
- 8.8.2 Financial performance
- 8.8.3 Product benchmarking
- 8.8.4 Recent developments
- 8.9 Databricks
- 8.9.1 Company overview
- 8.9.2 Financial performance
- 8.9.3 Product benchmarking
- 8.9.4 Recent developments
- 8.10 DataRobot, Inc.
- 8.10.1 Company overview
- 8.10.2 Financial performance
- 8.10.3 Product benchmarking
- 8.10.4 Recent developments
- 8.11 Apple Inc.
- 8.11.1 Company overview
- 8.11.2 Financial performance
- 8.11.3 Product benchmarking
- 8.11.4 Recent developments
- 8.12 Tesla
- 8.12.1 Company overview
- 8.12.2 Financial performance
- 8.12.3 Product benchmarking
- 8.13 Baidu, Inc.
- 8.13.1 Company overview
- 8.13.2 Financial performance
- 8.13.3 Product benchmarking
- 8.13.4 Recent developments
Chapter 9 KOL Commentary
- 9.1 KoL Commentary Analysis, 2021
Product Code: GVR-4-68039-971-4
List of Tables
- Table 1 Self-supervised learning market size estimates & forecasts, 2017 - 2030 (USD Million)
- Table 2 Self-supervised learning market, by region, 2017 - 2030 (USD Million)
- Table 3 Self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 4 Self-supervised learning market, by technology, 2017 - 2030 (USD Million)
- Table 5 Key market driver impact
- Table 6 Key market restraint/challenges impact
- Table 7 Self-supervised learning market for healthcare, by region, 2017 - 2030 (USD Million)
- Table 8 Self-supervised learning market for BFSI, by region, 2017 - 2030 (USD Million)
- Table 9 Self-supervised learning market for automotive & transportation, by region, 2017 - 2030 (USD Million)
- Table 10 Self-supervised learning market for software development (IT), by region, 2017 - 2030 (USD Million)
- Table 11 Self-supervised learning market for automotive & transportation, by region, 2017 - 2030 (USD Million)
- Table 12 Self-supervised learning market for advertising & media, by region, 2017 - 2030 (USD Million)
- Table 13 Self-supervised learning market for others, by region, 2017 - 2030 (USD Million)
- Table 14 Self-supervised learning market for Natural Language Processing (NLP), by region, 2017 - 2030 (USD Million)
- Table 15 Self-supervised learning market for computer vision, by region, 2017 - 2030 (USD Million)
- Table 16 Self-supervised learning market for speech recognition, by region, 2017 - 2030 (USD Million)
- Table 17 North America self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 18 North America self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 19 U.S. self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 20 U.S. self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 21 Canada self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 22 Canada self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 23 Europe self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 24 Europe self-supervised learning market, by technology, 2017 - 2030 (USD Million)
- Table 25 U.K. self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 26 U.K. self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 27 Germany self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 28 Germany self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 29 France self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 30 France self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 31 Italy self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 32 Italy self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 33 Rest of Europe self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 34 Rest of Europe self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 35 Asia Pacific self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 36 Asia Pacific self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 37 China self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 38 China self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 39 India self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 40 India self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 41 Japan self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 42 Japan self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 43 Rest of Asia Pacific self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 44 Rest of Asia Pacific self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 45 Latin America self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 46 Latin America self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 47 Brazil self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 48 Brazil self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 49 Mexico self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 50 Mexico self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 51 Rest of Latin America self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 52 Rest of Latin America self-supervised learning market, by technology 2017 - 2030 (USD Million)
- Table 53 Middle East & Africa self-supervised learning market, by end-use, 2017 - 2030 (USD Million)
- Table 54 Middle East & Africa self-supervised learning market, by technology 2017 - 2030 (USD Million)
List of Figures
- Fig. 1 Information procurement
- Fig. 2 Primary research pattern
- Fig. 3 Primary research process
- Fig. 4 Market formulation and data visualization
- Fig. 5 Industry snapshot
- Fig. 6 Penetration & growth prospects mapping
- Fig. 7 Market dynamics
- Fig. 8 PEST analysis
- Fig. 9 Self-supervised learning market, by end-use, key takeaways, 2017-2030 revenue (USD Million)
- Fig. 10 End-use movement analysis & market share, 2021 & 2030 revenue (USD Million)
- Fig. 11 Self-supervised learning market, by technology, key takeaways, 2017-2030 revenue (USD Million)
- Fig. 12 Technology movement analysis & market share, 2021 & 2030 revenue (USD Million)
- Fig. 13 Self-supervised learning market by region, 2021 & 2030 revenue (USD Million)
- Fig. 14 Regional movement analysis & market share, 2021 & 2030 revenue (USD Million)
- Fig. 15 North America self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
- Fig. 16 North America self-supervised learning market, 2017 to 2030 (USD Million)
- Fig. 17 Europe self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
- Fig. 18 Europe self-supervised learning market, 2017 to 2030 (USD Million)
- Fig. 19 Asia Pacific self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
- Fig. 20 Asia Pacific self-supervised learning market, 2017 to 2030 (USD Million)
- Fig. 21 Latin America self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
- Fig. 22 Latin America self-supervised learning market, 2017 to 2030 (USD Million)
- Fig. 23 Middle East & Africa (MEA) self-supervised learning market- key takeaways, 2021 & 2030 revenue (USD Million)
- Fig. 24 Middle East & Africa (MEA) self-supervised learning market, 2017 to 2030 (USD Million)
- Fig. 25 Company market position analysis
- Fig. 26 KoL Commentary
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