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Self Supervised Learning Market By Technology, By Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2022-2031

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    Report

  • 334 Pages
  • September 2023
  • Region: Global
  • Allied Market Research
  • ID: 5725365
Self-supervised learning (SSL) is a Machine Learning paradigm where a model, when fed with unstructured data as input, generates data labels automatically, which are further used in subsequent iterations as ground truths. The fundamental idea for self-supervised learning is to generate supervisory signals by making sense of the unlabeled data provided to it in an unsupervised fashion on the first iteration. Self-supervised learning also entails training a model with data and their labels, but the labels here are generated by the model itself and are not available at the very start.

Supervised learning relies heavily on large volumes of high-quality labeled data, which is very costly and time-consuming. This is a huge limitation in the domains such as medical imaging, where only expert medical professionals can manually annotate the data. Moreover, Developers who want to create an image classification algorithm, therefore, create supervised learning-capable systems to collect comprehensive data to get a representative sample. Apart from feeding the computer image datasets, developers need to classify the images before they can be used for training. The process is arduous and time-consuming compared with how humans approach learning. Human learning process is multifaceted. It involves both supervised and unsupervised learning processes.

The self-supervised learning market is segmented on the basis of technology, industry vertical, and region. By technology, the market is segmented into natural language processing, computer vision, and speech processing. The natural language processing segment is divided into rule-based NLP, statistical NLP, and hybrid NLP. The computer vision segmented is divided into quality assurance and inspection, positioning & guidance, measurement, identification, and predictive maintenance.

By industry vertical, the market is categorized into BFSI, healthcare, media & entertainment, IT, manufacturing, and others. The BFSI segment is further categorized into banking, financial services, and insurance. The segment is further categorized into life insurance and non-life insurance. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players operating in the market include 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, SAS Institute, The MathWorks, Inc., and Tesla. These key players have adopted numerous key development strategies such as partnership and new product launches, which help to strengthen their grip in the self-supervised identity market.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the self supervised learning market analysis from 2021 to 2031 to identify the prevailing self supervised learning market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the self supervised learning market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global self supervised learning market trends, key players, market segments, application areas, and market growth strategies.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
  • 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
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  • 24-hour priority response*
  • Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • Senario Analysis & Growth Trend Comparision
  • Go To Market Strategy
  • Additional company profiles with specific to client's interest
  • Additional country or region analysis- market size and forecast
  • Key player details (including location, contact details, supplier/vendor network etc. in excel format)
  • Market share analysis of players at global/region/country level
  • SWOT Analysis

Key Market Segments

By Technology

  • Natural Language Processing
  • NLP Type
  • Rule Based NLP
  • Statistical NLP
  • Hybrid NLP
  • Computer Vision
  • Computer Vision Application
  • Quality Assurance and Inspection
  • Positioning and Guidance
  • Measurement
  • Identification
  • Predictive Maintenance
  • Speech Processing

By Industry Vertical

  • BFSI
  • BFSI Type
  • Banking
  • Financial Services
  • Insurance
  • Healthcare
  • Media and Entertainment
  • IT
  • Manufacturing
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Rest Of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest Of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa
  • Key Market Players
  • Dataiku
  • SAS Institute
  • Meta
  • Databricks
  • Apple, Inc.
  • Tesla
  • DataCamp, Inc.
  • edX LLC.
  • IBM Corporation
  • Alphabet Inc. (Google LLC)
  • Microsoft Corporation
  • The MathWorks, Inc.
  • DataRobot, Inc.
  • Alison
  • Baidu, Inc.
  • Brain4ce Education Solutions Pvt. Ltd.
  • Amazon Web Series

 

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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.3. Porter’s five forces analysis
3.4. Market dynamics
CHAPTER 4: SELF SUPERVISED LEARNING MARKET, BY TECHNOLOGY
4.1. Overview
4.2. Natural Language Processing
4.3. Computer Vision
4.4. Speech Processing
CHAPTER 5: SELF SUPERVISED LEARNING MARKET, BY INDUSTRY VERTICAL
5.1. Overview
5.2. BFSI
5.3. Healthcare
5.4. Media and Entertainment
5.5. IT
5.6. Manufacturing
5.7. Others
CHAPTER 6: SELF SUPERVISED LEARNING MARKET, BY REGION
6.1. Overview
6.2. North America
6.3. Europe
6.4. Asia-Pacific
6.5. LAMEA
CHAPTER 7: COMPETITIVE LANDSCAPE
7.1. Introduction
7.2. Top winning strategies
7.3. Product mapping of top 10 player
7.4. Competitive dashboard
7.5. Competitive heatmap
7.6. Top player positioning, 2021
CHAPTER 8: COMPANY PROFILES
8.1. IBM Corporation
8.2. Alphabet Inc. (Google LLC)
8.3. Microsoft Corporation
8.4. Amazon Web Series
8.5. SAS Institute
8.6. Dataiku
8.7. The MathWorks, Inc.
8.8. Meta
8.9. Databricks
8.10. DataRobot, Inc.
8.11. Apple, Inc.
8.12. Tesla
8.13. Baidu, Inc.
8.14. Alison
8.15. Brain4ce Education Solutions Pvt. Ltd.
8.16. DataCamp, Inc.
8.17. edX LLC.
List of Tables
Table 01. Global Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 02. Self Supervised Learning Market for Natural Language Processing, by Region, 2021-2031 ($ Million)
Table 03. Global Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 04. Self Supervised Learning Market for Rule Based Nlp, by Region, 2021-2031 ($ Million)
Table 05. Self Supervised Learning Market for Statistical Nlp, by Region, 2021-2031 ($ Million)
Table 06. Self Supervised Learning Market for Hybrid Nlp, by Region, 2021-2031 ($ Million)
Table 07. Self Supervised Learning Market for Computer Vision, by Region, 2021-2031 ($ Million)
Table 08. Global Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 09. Self Supervised Learning Market for Quality Assurance and Inspection, by Region, 2021-2031 ($ Million)
Table 10. Self Supervised Learning Market for Positioning and Guidance, by Region, 2021-2031 ($ Million)
Table 11. Self Supervised Learning Market for Measurement, by Region, 2021-2031 ($ Million)
Table 12. Self Supervised Learning Market for Identification, by Region, 2021-2031 ($ Million)
Table 13. Self Supervised Learning Market for Predictive Maintenance, by Region, 2021-2031 ($ Million)
Table 14. Self Supervised Learning Market for Speech Processing, by Region, 2021-2031 ($ Million)
Table 15. Global Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 16. Self Supervised Learning Market for Bfsi, by Region, 2021-2031 ($ Million)
Table 17. Global Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 18. Self Supervised Learning Market for Banking, by Region, 2021-2031 ($ Million)
Table 19. Self Supervised Learning Market for Financial Services, by Region, 2021-2031 ($ Million)
Table 20. Self Supervised Learning Market for Insurance, by Region, 2021-2031 ($ Million)
Table 21. Self Supervised Learning Market for Healthcare, by Region, 2021-2031 ($ Million)
Table 22. Self Supervised Learning Market for Media and Entertainment, by Region, 2021-2031 ($ Million)
Table 23. Self Supervised Learning Market for It, by Region, 2021-2031 ($ Million)
Table 24. Self Supervised Learning Market for Manufacturing, by Region, 2021-2031 ($ Million)
Table 25. Self Supervised Learning Market for Others, by Region, 2021-2031 ($ Million)
Table 26. Self Supervised Learning Market, by Region, 2021-2031 ($ Million)
Table 27. North America Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 28. North America Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 29. North America Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 30. North America Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 31. North America Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 32. North America Self Supervised Learning Market, by Country, 2021-2031 ($ Million)
Table 33. U.S. Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 34. U.S. Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 35. U.S. Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 36. U.S. Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 37. U.S. Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 38. Canada Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 39. Canada Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 40. Canada Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 41. Canada Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 42. Canada Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 43. Europe Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 44. Europe Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 45. Europe Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 46. Europe Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 47. Europe Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 48. Europe Self Supervised Learning Market, by Country, 2021-2031 ($ Million)
Table 49. UK Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 50. UK Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 51. UK Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 52. UK Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 53. UK Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 54. Germany Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 55. Germany Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 56. Germany Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 57. Germany Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 58. Germany Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 59. France Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 60. France Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 61. France Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 62. France Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 63. France Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 64. Italy Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 65. Italy Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 66. Italy Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 67. Italy Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 68. Italy Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 69. Spain Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 70. Spain Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 71. Spain Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 72. Spain Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 73. Spain Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 74. Netherlands Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 75. Netherlands Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 76. Netherlands Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 77. Netherlands Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 78. Netherlands Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 79. Rest of Europe Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 80. Rest of Europe Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 81. Rest of Europe Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 82. Rest of Europe Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 83. Rest of Europe Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 84. Asia-Pacific Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 85. Asia-Pacific Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 86. Asia-Pacific Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 87. Asia-Pacific Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 88. Asia-Pacific Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 89. Asia-Pacific Self Supervised Learning Market, by Country, 2021-2031 ($ Million)
Table 90. China Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 91. China Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 92. China Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 93. China Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 94. China Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 95. Japan Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 96. Japan Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 97. Japan Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 98. Japan Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 99. Japan Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 100. India Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 101. India Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 102. India Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 103. India Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 104. India Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 105. Australia Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 106. Australia Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 107. Australia Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 108. Australia Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 109. Australia Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 110. South Korea Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 111. South Korea Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 112. South Korea Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 113. South Korea Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 114. South Korea Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 115. Rest of Asia-Pacific Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 116. Rest of Asia-Pacific Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 117. Rest of Asia-Pacific Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 118. Rest of Asia-Pacific Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 119. Rest of Asia-Pacific Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 120. LAMEA Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 121. LAMEA Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 122. LAMEA Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 123. LAMEA Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 124. LAMEA Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 125. LAMEA Self Supervised Learning Market, by Country, 2021-2031 ($ Million)
Table 126. Latin America Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 127. Latin America Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 128. Latin America Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 129. Latin America Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 130. Latin America Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 131. Middle East Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 132. Middle East Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 133. Middle East Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 134. Middle East Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 135. Middle East Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 136. Africa Self Supervised Learning Market, by Technology, 2021-2031 ($ Million)
Table 137. Africa Natural Language Processing Self Supervised Learning Market, by Nlp Type, 2021-2031 ($ Million)
Table 138. Africa Computer Vision Self Supervised Learning Market, by Computer Vision Application, 2021-2031 ($ Million)
Table 139. Africa Self Supervised Learning Market, by Industry Vertical, 2021-2031 ($ Million)
Table 140. Africa Bfsi Self Supervised Learning Market, by Bfsi Type, 2021-2031 ($ Million)
Table 141. IBM Corporation: Key Executives
Table 142. IBM Corporation: Company Snapshot
Table 143. IBM Corporation: Service Segments
Table 144. IBM Corporation: Product Portfolio
Table 145. IBM Corporation: Key Stratergies
Table 146. Alphabet Inc. (Google LLC): Key Executives
Table 147. Alphabet Inc. (Google LLC): Company Snapshot
Table 148. Alphabet Inc. (Google LLC): Service Segments
Table 149. Alphabet Inc. (Google LLC): Product Portfolio
Table 150. Alphabet Inc. (Google LLC): Key Stratergies
Table 151. Microsoft Corporation: Key Executives
Table 152. Microsoft Corporation: Company Snapshot
Table 153. Microsoft Corporation: Product Segments
Table 154. Microsoft Corporation: Product Portfolio
Table 155. Microsoft Corporation: Key Stratergies
Table 156. Amazon Web Series: Key Executives
Table 157. Amazon Web Series: Company Snapshot
Table 158. Amazon Web Series: Product Segments
Table 159. Amazon Web Series: Product Portfolio
Table 160. Amazon Web Series: Key Stratergies
Table 161. Sas Institute: Key Executives
Table 162. Sas Institute: Company Snapshot
Table 163. Sas Institute: Product Segments
Table 164. Sas Institute: Product Portfolio
Table 165. Dataiku: Key Executives
Table 166. Dataiku: Company Snapshot
Table 167. Dataiku: Product Segments
Table 168. Dataiku: Product Portfolio
Table 169. Dataiku: Key Stratergies
Table 170. The Mathworks, Inc.: Key Executives
Table 171. The Mathworks, Inc.: Company Snapshot
Table 172. The Mathworks, Inc.: Product Segments
Table 173. The Mathworks, Inc.: Product Portfolio
Table 174. Meta: Key Executives
Table 175. Meta: Company Snapshot
Table 176. Meta: Product Segments
Table 177. Meta: Product Portfolio
Table 178. Meta: Key Stratergies
Table 179. Databricks: Key Executives
Table 180. Databricks: Company Snapshot
Table 181. Databricks: Service Segments
Table 182. Databricks: Product Portfolio
Table 183. Databricks: Key Stratergies
Table 184. Datarobot, Inc.: Key Executives
Table 185. Datarobot, Inc.: Company Snapshot
Table 186. Datarobot, Inc.: Service Segments
Table 187. Datarobot, Inc.: Product Portfolio
Table 188. Datarobot, Inc.: Key Stratergies
Table 189. Apple, Inc.: Key Executives
Table 190. Apple, Inc.: Company Snapshot
Table 191. Apple, Inc.: Service Segments
Table 192. Apple, Inc.: Product Portfolio
Table 193. Apple, Inc.: Key Stratergies
Table 194. Tesla: Key Executives
Table 195. Tesla: Company Snapshot
Table 196. Tesla: Product Segments
Table 197. Tesla: Product Portfolio
Table 198. Tesla: Key Stratergies
Table 199. Baidu, Inc.: Key Executives
Table 200. Baidu, Inc.: Company Snapshot
Table 201. Baidu, Inc.: Product Segments
Table 202. Baidu, Inc.: Product Portfolio
Table 203. Baidu, Inc.: Key Stratergies
Table 204. Alison: Key Executives
Table 205. Alison: Company Snapshot
Table 206. Alison: Product Segments
Table 207. Alison: Product Portfolio
Table 208. Brain4Ce Education Solutions Pvt. Ltd.: Key Executives
Table 209. Brain4Ce Education Solutions Pvt. Ltd.: Company Snapshot
Table 210. Brain4Ce Education Solutions Pvt. Ltd.: Product Segments
Table 211. Brain4Ce Education Solutions Pvt. Ltd.: Product Portfolio
Table 212. Datacamp, Inc.: Key Executives
Table 213. Datacamp, Inc.: Company Snapshot
Table 214. Datacamp, Inc.: Product Segments
Table 215. Datacamp, Inc.: Product Portfolio
Table 216. Edx LLC.: Key Executives
Table 217. Edx LLC.: Company Snapshot
Table 218. Edx LLC.: Product Segments
Table 219. Edx LLC.: Product Portfolio
List of Figures
Figure 01. Self Supervised Learning Market, 2021-2031
Figure 02. Segmentation of Self Supervised Learning Market, 2021-2031
Figure 03. Top Impacting Factors in Self Supervised Learning Market (2021 to 2031)
Figure 04. Top Investment Pockets in Self Supervised Learning Market (2022-2031)
Figure 05. Low Bargaining Power of Suppliers
Figure 06. Low Threat of New Entrants
Figure 07. Low Threat of Substitutes
Figure 08. Low Intensity of Rivalry
Figure 09. Low Bargaining Power of Buyers
Figure 10. Global Self Supervised Learning Market: Drivers, Restraints and Opportunities
Figure 11. Self Supervised Learning Market, by Technology, 2021 and 2031 (%)
Figure 12. Comparative Share Analysis of Self Supervised Learning Market for Natural Language Processing, by Country 2021 and 2031 (%)
Figure 13. Comparative Share Analysis of Self Supervised Learning Market for Computer Vision, by Country 2021 and 2031 (%)
Figure 14. Comparative Share Analysis of Self Supervised Learning Market for Speech Processing, by Country 2021 and 2031 (%)
Figure 15. Self Supervised Learning Market, by Industry Vertical, 2021 and 2031 (%)
Figure 16. Comparative Share Analysis of Self Supervised Learning Market for Bfsi, by Country 2021 and 2031 (%)
Figure 17. Comparative Share Analysis of Self Supervised Learning Market for Healthcare, by Country 2021 and 2031 (%)
Figure 18. Comparative Share Analysis of Self Supervised Learning Market for Media and Entertainment, by Country 2021 and 2031 (%)
Figure 19. Comparative Share Analysis of Self Supervised Learning Market for It, by Country 2021 and 2031 (%)
Figure 20. Comparative Share Analysis of Self Supervised Learning Market for Manufacturing, by Country 2021 and 2031 (%)
Figure 21. Comparative Share Analysis of Self Supervised Learning Market for Others, by Country 2021 and 2031 (%)
Figure 22. Self Supervised Learning Market by Region, 2021 and 2031 (%)
Figure 23. U.S. Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 24. Canada Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 25. UK Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 26. Germany Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 27. France Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 28. Italy Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 29. Spain Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 30. Netherlands Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 31. Rest of Europe Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 32. China Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 33. Japan Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 34. India Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 35. Australia Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 36. South Korea Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 37. Rest of Asia-Pacific Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 38. Latin America Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 39. Middle East Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 40. Africa Self Supervised Learning Market, 2021-2031 ($ Million)
Figure 41. Top Winning Strategies, by Year (2018-2022)
Figure 42. Top Winning Strategies, by Development (2018-2022)
Figure 43. Top Winning Strategies, by Company (2018-2022)
Figure 44. Product Mapping of Top 10 Players
Figure 45. Competitive Dashboard
Figure 46. Competitive Heatmap: Self Supervised Learning Market
Figure 47. Top Player Positioning, 2021
Figure 48. IBM Corporation: Net Revenue, 2019-2021 ($ Million)
Figure 49. IBM Corporation: Research & Development Expenditure, 2019-2021 ($ Million)
Figure 50. IBM Corporation: Revenue Share by Segment, 2022 (%)
Figure 51. IBM Corporation: Revenue Share by Region, 2022 (%)
Figure 52. Alphabet Inc. (Google LLC): Net Revenue, 2019-2021 ($ Million)
Figure 53. Alphabet Inc. (Google LLC): Research & Development Expenditure, 2019-2021 ($ Million)
Figure 54. Alphabet Inc. (Google LLC): Revenue Share by Segment, 2021 (%)
Figure 55. Alphabet Inc. (Google LLC): Revenue Share by Region, 2021 (%)
Figure 56. Microsoft Corporation: Net Revenue, 2019-2021 ($ Million)
Figure 57. Microsoft Corporation: Research & Development Expenditure, 2019-2021 ($ Million)
Figure 58. Microsoft Corporation: Revenue Share by Region, 2021 (%)
Figure 59. Microsoft Corporation: Revenue Share by Segment, 2021 (%)
Figure 60. Amazon Web Series: Net Revenue, 2019-2021 ($ Million)
Figure 61. Amazon Web Series: Revenue Share by Segment, 2021 (%)
Figure 62. Amazon Web Series: Revenue Share by Region, 2021 (%)
Figure 63. Meta: Net Revenue, 2019-2021 ($ Million)
Figure 64. Meta: Research & Development Expenditure, 2019-2021 ($ Million)
Figure 65. Meta: Revenue Share by Segment, 2021 (%)
Figure 66. Meta: Revenue Share by Region, 2021 (%)
Figure 67. Apple, Inc.: Net Revenue, 2019-2021 ($ Million)
Figure 68. Apple, Inc.: Research & Development Expenditure, 2019-2021 ($ Million)
Figure 69. Apple, Inc.: Revenue Share by Segment, 2022 (%)
Figure 70. Apple, Inc.: Revenue Share by Region, 2022 (%)
Figure 71. Tesla: Net Revenue, 2019-2021 ($ Million)
Figure 72. Tesla: Research & Development Expenditure, 2020-2022 ($ Million)
Figure 73. Tesla: Revenue Share by Region, 2022 (%)
Figure 74. Tesla: Revenue Share by Segment, 2021 (%)
Figure 75. Baidu, Inc.: Net Revenue, 2019-2021 ($ Million)
Figure 76. Baidu, Inc.: Research & Development Expenditure, 2018-2020 ($ Million)
Figure 77. Baidu, Inc.: Revenue Share by Segment, 2021 (%)

Executive Summary

According to the report, 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.

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.

On the basis of technology, the natural language processing segment dominated the self supervised learning market share in 2021, and is expected to maintain its dominance in the upcoming years. NLP has been a widely adopted technology of self-supervised learning across the world as it performs a very large-scale analysis. NLP offers an accurate and objective analysis that reduces most probable human errors Most of the modern-day applications and devices for instance mobile phones and laptops are utilizing NLP technology for enhanced consumer experience. Moreover, NLP reduces the cost by streamlining the processes thus, many enterprises are attracted towards these platforms. Furthermore, NLP empowers humans to not only just save time but efforts to focus on other more important tasks. These factors propel the market growth further.

Depending on North America is anticipated to account for the largest share of the self-supervised learning market during the forecast period, owing to presence of a substantial industrial base in the U.S., government initiatives to promote innovation, and large purchasing power. Growth is primarily concentrated in the U.S. Companies that use big data software frequently use print management systems to cut costs, improve industry vertical, and boost worker productivity. However, Asia-Pacific is expected to witness significant growth during the forecast period, owing to growing economies such as India and China and cloud native countries like Japan.

The current estimation of 2031 is projected to be higher than pre-COVID-19 estimates. The COVID-19 outbreak has high impact on the growth of self-supervised learning market, as increasing number of smartphone users, growing adoption of connected devices, and surging e-commerce sector provide lucrative opportunities for the growth of the self-supervised learning market. COVID has caused crises in social, economic, and energy areas and medical life worldwide throughout 2020. This crisis had many direct and indirect effects on all areas of society. In the meantime, the digital and artificial intelligence industry can be used as a professional assistant to manage and control the outbreak of the virus. In post-pandemic circumstances, enterprises strived to minimize operational and running costs around all the business functions to recover the losses incurred in covid times. The market for self-supervised learning observed unconstructive expansion, during the initial half of 2020. Owing to the limitations due to the global lockdown, media houses, a variety of offices, and the manufacturing divisions have observed a provisional shutting down. The demand for self-supervised learning is anticipated to gain steady traction over the coming years owing to the need for scalable and customized software. Due to the COVID-19 pandemic, increasing health awareness among individuals has directed various doctors and health workers to deliver their services over applications.

KEY FINDINGS OF THE STUDY

By type, the natural language processing segment dominated the self-supervised learning industry in 2021. However, the computer vision segment is expected to exhibit significant growth during the forecast period.

On the basis of industry vertical, the BFSI segment dominated the self-supervised learning market in 2021. However, the media and entertainment segment is expected to witness the highest growth rate during the forecast period.

Region-wise, the self supervised learning market analysis was dominated by North America in 2021. However, Asia-Pacific is expected to witness significant growth in the coming years.

The key players operating in the Self Supervised Learning Industry include 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, SAS Institute, the MathWorks, Inc., and Tesla. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which propel growth of the self supervised learning industry globally.

Companies Mentioned

  • Dataiku
  • SAS Institute
  • Meta
  • Databricks
  • Apple, Inc.
  • Tesla
  • DataCamp, Inc.
  • edX LLC.
  • IBM Corporation
  • Alphabet Inc. (Google LLC)
  • Microsoft Corporation
  • The MathWorks, Inc.
  • DataRobot, Inc.
  • Alison
  • Baidu, Inc.
  • Brain4ce Education Solutions Pvt. Ltd.
  • Amazon Web Series

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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