How is your organization addressing the challenges of artificial intelligence (AI) integration to enhance the performance and security of software-defined vehicles (SDVs)?
Original equipment manufacturers (OEMs) are actively investing in proprietary control software to enhance system integration, performance, and data security. However, the rapid evolution of artificial intelligence (AI) and cloud technologies is prompting a strategic pivot. The industry is grappling with significant hurdles, including high development costs, a shortage of skilled talent, and the complexities of integrating AI into existing systems. Successfully navigating these challenges is essential for OEMs to maintain their competitive edge, foster innovation in the automotive sector, and deliver an outstanding customer experience.
Frost & Sullivan’s recent software-defined vehicles think tank delved into the realm — Integrating Artificial Intelligence into Software-Defined Vehicles: The Next Frontier. This webinar explored the evolving used car landscape, highlighting key megatrends, growth opportunities, and technological advancements.
Here, the following growth experts evaluated the primary challenges, growth opportunities, and examined the role that various stakeholders will play in shaping the industry’s trajectory: Anu Jose — Growth Expert and Principal Consultant at Frost & Sullivan; Ajit Kolhe — WW Partner Leader for Automotive at Amazon Web Services; Dr. Grant Suzuki — Chief of Technology for Marine Innovation Engineering at Yamaha’s U.S. Marine Business Unit; Florian Rohde — Consultant at iProcess Consulting (Ex-Tesla, Ex-Nio) and Dr. Frank Schreiner — Chief Engineer for Systems Engineering at Continental Engineering Services.
Gain valuable growth perspectives by clicking here to access the recorded session of this think tank.
You can also click here to access our latest analysis revealing lucrative growth opportunities in global automotive industry.
Rethinking Vehicle Design: SDVs represent a significant evolution from traditional connected cars. They are not just vehicles with software-driven features but are fundamentally redefined in terms of architecture, allowing for continuous updates, enhanced safety, and a better overall user experience. The focus shifts from hardware-centric to software-centric innovation, setting the stage for a new era in automotive design. How is your organization approaching the shift from hardware-centric to software-centric innovation in the context of SDVs?
Leveraging Data for Enhanced Performance: Data collection and analysis are fundamental to the ongoing development and improvement of SDVs. By gathering and analyzing vast amounts of data from vehicles in the field, companies can better understand real-world performance, anticipate issues, and push updates that enhance safety and functionality. What measures is your organization adopting to position itself to lead the SDV industry by strategically integrating data-driven innovations?
Accelerating Development Cycles: Virtualization and early testing are critical in the development of SDVs. By decoupling software development from hardware and using advanced virtualization techniques, companies can significantly reduce development cycles, lower costs, and improve quality. In what ways is your team leveraging advanced virtualization techniques to reduce SDV development cycles and enhance product quality?
Integrating New Industry Players: The development of SDVs is fostering collaborations between traditional automotive companies, tech giants, and emerging players. New suppliers, especially in the chip manufacturing sector, are becoming increasingly important as their technologies provide the backbone for AI and advanced computing in vehicles. How is your growth team fostering collaborations with tech giants and emerging players to drive innovation in SDVs?
Adapting to Diverse OEM Needs: For SDVs to succeed, there is a need for software designs to be modular, flexible, and open. This adaptability is crucial as different OEMs have varying approaches and speeds in adopting SDV technologies. Standardization of interfaces and the ability to support multiple platforms are key to ensuring seamless integration and futureproofing the vehicles. How is your organization approaching the challenge of standardizing interfaces and supporting multiple platforms in SDVs to secure long-term partnerships with OEMs?
“Mastering AI integration in software-defined vehicles is not just about overcoming challenges—it’s about unlocking the future of mobility, where innovation drives every turn and prospect.”
– Anu Jose-Growth Expert and Principal Consultant at Frost & Sullivan
