1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. SELF-SUPERVISED LEARNING MARKET BY TYPE
5.1. Introduction
5.2. Self-predictive learning
5.3. Contrastive learning
6. SELF-SUPERVISED LEARNING MARKET BY APPLICATION
6.1. Introduction
6.2. Natural Language Processing (NLP)
6.3. Computer Vision
6.4. Image Processing and Image Synthesis
7. SELF-SUPERVISED LEARNING MARKET BY END-USER
7.1. Introduction
7.2. BFSI
7.3. Healthcare
7.4. Advertising & Media
7.5. Automotive & Transportation
7.6. IT
7.7. Others
8. SELF-SUPERVISED LEARNING MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. USA
8.2.2. Canada
8.2.3. Mexico
8.3. South America
8.3.1. Brazil
8.3.2. Argentina
8.3.3. Others
8.4. Europe
8.4.1. United Kingdom
8.4.2. Germany
8.4.3. France
8.4.4. Italy
8.4.5. Spain
8.4.6. Others
8.5. Middle East & Africa
8.5.1. Saudi Arabia
8.5.2. UAE
8.5.3. Others
8.6. Asia Pacific
8.6.1. China
8.6.2. India
8.6.3. Japan
8.6.4. South Korea
8.6.5. Thailand
8.6.6. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Google LLC
10.2. Microsoft Corporation
10.3. Meta AI
10.4. Amazon
10.5. IBM Corporation
10.6. NVIDIA Corporation
10.7. Intel Corporation
10.8. Baidu, Inc.
10.9. DataRobot, Inc
10.10. Databricks
10.11. The MathWorks, Inc.
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations