AAH #677 - Why Legacy OEMs Lack the Mindset to Develop Tomorrow's Cars
Jan 5, 2024
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Guests Mark Wakefield, Sam Abuelsamid, Gary Vasilash, and John McElroy discuss topics including advancements in Chinese NEVs, legacy OEMs' focus on pickups and potential for family SUVs, the evolution of software-defined vehicles, the lack of mindset in legacy OEMs, the potential and challenges of software-defined vehicles, and the perspectives on AI and software-defined vehicles.
Software-defined vehicles decouple software from hardware, allowing for feature updates and customization, presenting revenue opportunities from post-transaction services.
Chinese automakers lead in software-defined vehicles, driven by competition and fear of survival, adopting technologies faster than counterparts in other regions.
The transition to software-defined vehicles requires a shift in mindset for automakers, striking a balance between proprietary and standardized software, and collaborating with technology experts.
Deep dives
Software-Defined Vehicles: The Future of Automotive
Software-defined vehicles are revolutionizing the automotive industry, with the core concept being the decoupling of software from hardware in vehicle development and lifecycle management. This allows for features and functionality to be primarily controlled and driven by software, with the ability to modify and update post-manufacture. Customers value the personalized experience and the anticipation of new features, as exemplified by the success of Tesla. While the challenge lies in convincing customers to pay for ongoing subscriptions, the potential revenue from post-transaction services is significant, estimated at around $191 billion by 2030. Automakers, tech companies, and tier one suppliers have varying perspectives on the timeline and nature of software-defined vehicles, but standardization is becoming crucial, especially in areas like infotainment systems, where Android Automotive services are gaining traction. The cultural shift from a mechanical mindset to embracing software-defined vehicles poses challenges for traditional automakers, but those who adapt and prioritize software development will thrive in the future.
Chinese Automakers Embrace Software-Defined Vehicles
Chinese automakers, particularly in the new electric vehicle segment, are making significant progress in software-defined vehicles. Companies like NIO are excelling in controlling and customizing various vehicle functions through their software. However, traditional automakers like BYD are taking a more gradual approach with excellent infotainment systems but a more traditional approach to vehicle control. Chinese automakers, driven by the fear of survival and the highly competitive market, are pushing the boundaries and adopting software-defined vehicle technologies faster than their counterparts in other regions.
Challenges and Opportunities in the Transition to Software-Defined Vehicles
The transition to software-defined vehicles presents both challenges and opportunities for the automotive industry. While automakers are trying to hire the requisite talent and change their thinking, the desire to maintain control and protect intellectual property can impede progress. Striking a balance between proprietary and standardized software is crucial for optimizing product development and delivering the best customer experience. The success of software-defined vehicles may lie in the ability of automakers to embrace a new mindset, prioritize software development, and collaborate with technology experts and suppliers. Overcoming cultural and technical hurdles will ensure that traditional automakers can fully leverage the potential of software-defined vehicles in a rapidly evolving industry.
Software-defined vehicles enable updatable features and independent software and hardware changes
Software-defined vehicles, enabled by advancements in electronic architecture and the use of abstraction layers, allow for the separation of software and hardware in cars. This decoupling opens up possibilities for adding new features, updating existing ones, and changing the user interface of infotainment systems over the lifespan of a vehicle. With the ability to provide over-the-air updates and an abstraction layer that allows programming interfaces to be used across different pieces of hardware, software-defined vehicles offer flexibility and headroom for future advancements. This marks a shift from the traditional approach where software was fixed until the car went out of service.
Challenges and considerations in implementing software-defined vehicles
Implementing software-defined vehicles involves significant changes to electrical and electronic architecture, as well as a shift in mindset from traditional automakers. There are challenges in striking the right balance between innovation and safety, ensuring the reliability of over-the-air updates, and developing robust testing processes. The transition also requires collaboration with competent players in the industry and a new approach to partnerships. While software-defined vehicles offer benefits such as reduced recall costs and the ability to sell services and features, there are upfront costs associated with adopting the new hardware, as well as ongoing costs for software changes and updates over the life of the vehicle. Achieving a fully software-defined vehicle by 2030 requires cultural change, finding the right balance between functionality and requirements, and addressing the complexities of the software and hardware stack.
TOPIC: Software Defined Vehicle PANEL: Mark Wakefield, Alix Partners; Sam Abuelsamid, Guidehouse Insights; Gary Vasilash, on Automotive; John McElroy, Autoline.tv
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