Table of Content

1. Key Trends Driving AI Adoption in the Automotive Industry
1.1. The Need for Automotive Industry to Invest in AI
1.2. Transformation in Business Models with the Introduction of AI


2. AI-related M&A Across Automotive Industry Value Chain


3. Methodology for M&A Analysis


4. M&A Analysis of AI in Automotive: Technology Trends
4.1. Acquirer Landscape
4.2. Technology Breakdown
4.3. Acquisition Trend #1: Computer Vision
4.4. Acquisition Trend #2: AI-based Data Analytics
4.5. Acquisition Trend #3: Conversational AI
4.6. Acquisition Trend #4: Cloud-based Services
4.7. Acquisition Trend #5: AI Hardware and Software
4.8. Acquisition Trend #6: Data Training
4.9. Acquisition Trend #7: Gesture Recognition
4.10. Acquisition Trend #8: Self-driving Software Stack
4.11. Acquisition Trend #9: Simulation Software
4.12. Acquisition Trend #10: Security
4.13. Acquisition Trend #11: Mapping Technologies
4.14. Acquisition Trend #12: Other Technology Trends


5. Insights & Recommendations
5.1. Acquisition Gap Analysis and Future Growth Opportunities
5.2. Concluding Remarks


6. References