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-LEARNING VEHICLE CONTROL SYSTEMS MARKET BY VEHICLE TYPE
5.1. Introduction
5.2. Passenger vehicles
5.3. Commercial vehicles
5.4. Heavy-duty vehicles
5.5. Electric vehicles
5.6. Autonomous/driverless vehicles
6. SELF-LEARNING VEHICLE CONTROL SYSTEMS MARKET BY TECHNOLOGY
6.1. Introduction
6.2. Machine learning algorithms
6.3. Neural networks
6.4. Reinforcement learning
6.5. Computer vision systems
6.6. Sensor fusion systems
7. SELF-LEARNING VEHICLE CONTROL SYSTEMS MARKET BY END USER
7.1. Introduction
7.2. OEMs (vehicle manufacturers)
8. SELF-LEARNING VEHICLE CONTROL SYSTEMS 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. Spain
8.4.5. Others
8.5. Middle East and 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. Indonesia
8.6.6. Thailand
8.6.7. 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. Wayve Technologies Ltd
10.2. Motional
10.3. DeepRoute.ai
10.4. Oxa (formerly Oxbotica)
10.5. Mobileye (Intel)
10.6. Nuro
10.7. Pony.ai
10.8. General Motors
10.9. Baidu Apollo
10.10. Aptiv PLC
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