How Big Is the Vehicle AI Market—Really? | with Ajit Chander Swaminathan of Frost and Sullivan

In this podcast episode, filmed at CES2026, Ajit Chander, Associate Partner and Mobility Practice Leader at Frost and Sullivan, discusses a comprehensive research report analyzing the impact of cloud and edge AI in the automotive industry with host Dr. John Heinlein, Chief Marketing Officer, Sonatus. The conversation covers key findings from their analysis, including market projections showing AI automotive spending growing from $48 billion in 2025 to $238 billion by 2030, representing a portion of the overall $500 billion software-defined vehicle market. Chander explains emerging AI use cases in vehicles including prognostics, usage-based insurance, sensor virtualization, and edge cybersecurity. The discussion highlights how AI can be deployed on existing vehicle hardware without requiring advanced processors, providing immediate cost savings and new revenue opportunities for OEMs. Specific examples include virtual sensors that can replace physical components like IMUs, saving $20 per vehicle in bill of materials costs. The conversation emphasizes the importance of end-to-end AI lifecycle management and positions Sonatus as a key enabler for achieving AI and software-defined vehicle objectives in the automotive industry.

Frost and Sullivan report "In-Vehicle Edge and Cloud AI at Scale": https://www.sonatus.com/resources/in-vehicle-edge-and-cloud-ai-at-scale/

Chapters:
0:00 Introduction to the Guest
0:50 Ajit's Background and Experience
3:36 Overview of Frost and Sullivan
4:36 Research report on In-vehicle and Cloud AI
7:17 Market Outlook for AI in Automotive
8:05 OEM Strategies and Investments in AI
10:00 Emerging Use Cases in Automotive AI
11:59 AI Not Always Driver-Visible
16:13 Future of AI in Automotive and Continuous Improvement
18:13 Sonatus Vehicle AI Products
20:43 Conclusion and Call to Action