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. NEUROSYMBOLIC AI MARKET BY APPLICATION
5.1. Introduction
5.2. Knowledge-based AI Systems
5.3. Decision Making
5.4. Natural Language Processing
5.5. Robotics
5.6. Planning and Scheduling
6. NEUROSYMBOLIC AI MARKET BY END-USER
6.1. Introduction
6.2. Banking, Financial Services, and Insurance (BFSI)
6.3. Retail and E-Commerce
6.4. Automotive & Transportation
6.5. Healthcare
6.6. Others
7. NEUROSYMBOLIC AI MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.1. United Kingdom
7.4.2. Germany
7.4.3. France
7.4.4. Italy
7.4.5. Spain
7.4.6. Others
7.5. Middle East & Africa
7.5.1. Saudi Arabia
7.5.2. UAE
7.5.3. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. India
7.6.3. Japan
7.6.4. South Korea
7.6.5. Thailand
7.6.6. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. Kognitos
9.2. IBM
9.3. Unlikely AI
9.4. Robert Bosch GmbH
9.5. Franz, Inc
9.6. Google
10. APPENDIX
10.1. Currency
10.2. Assumptions
10.3. Base and Forecast Years Timeline
10.4. Key benefits for the stakeholders
10.5. Research Methodology
10.6. Abbreviations