Software-Defined Vehicles in the Supplier Ecosystem

The transition to software-defined vehicles (SDVs) is fundamentally transforming the automotive industry's development and value creation model. While vehicle functions have traditionally been driven by mechanical systems, electronic control units, and long-defined product configurations, software is increasingly becoming the key differentiator. Features, user experience, and innovation speed are now shaped more by software architectures, data availability, and digital engineering capabilities, ranging from over-the-air updates and infotainment systems to data-driven services. As a result, vehicles are evolving from largely static products into platforms that can be continuously enhanced and updated throughout their lifecycle.

This shift is being driven by changing customer expectations, faster innovation cycles, and a new generation of competitors with deep software expertise. Consumers increasingly expect digital features that are intuitive, reliable, and continuously updated. At the same time, a robust software architecture enables automakers to deliver new functionality more quickly, reuse it across vehicle platforms, and continue enhancing it long after production begins. As a result, the ability to develop, integrate, and operate software at scale is becoming a key competitive differentiator for automotive manufacturers.

The implications of this transformation extend far beyond the introduction of new vehicle functions. SDV is changing how vehicles are specified, developed, integrated, validated, released, and continuously improved in the field. Traditional development models were primarily centered on a clearly defined vehicle program and a fixed launch date. In a software-defined world, however, shared architectures, reusable platforms, stable interfaces, access to data, and continuous improvement throughout the entire product lifecycle are becoming increasingly important.

The implications for suppliers are profound. Accounting for up to 70 percent of the automotive industry's value creation, they are being called upon to redefine their role within the ecosystem. Whereas their primary responsibility once centered on delivering hardware components, suppliers are increasingly evolving into long-term partners for the development, integration, and continuous enhancement of software platforms. Their role, therefore, extends well beyond vehicle production.

Why collaboration matters more than technology

To understand how SDV is reshaping the supplier landscape, Porsche Consulting conducted interviews with five leading European Tier 1 suppliers, as well as other industry participants from North America and the broader technology ecosystem, including a semiconductor company and a contract manufacturer. The findings reveal that the biggest obstacles on the road to software-defined vehicles are not primarily rooted in technological shortcomings.

Over the past several years, many suppliers have significantly strengthened their software capabilities. They have built specialized engineering teams, adopted modern development toolchains, and gained experience with agile development and integration models. The most critical challenges often emerge only when multiple organizations must jointly take responsibility for a function, platform, or architecture – at the organizational, technical, and commercial interfaces between automakers and suppliers.

At these interfaces, fundamental questions often remain unresolved for too long. Who owns the overall business and technical responsibility for a function? Who has decision-making authority when priorities conflict across vehicle programs, software platforms, and individual components? Who bears the risks associated with integration, changes, and liability? And how should efforts be compensated when they can no longer be clearly attributed to a specific vehicle program or hardware component? Without robust agreements in place, friction increases, decisions are delayed, and additional integration cycles become unavoidable.

These challenges are particularly evident in so-called white-box models. Unlike traditional black-box arrangements, where suppliers deliver largely self-contained systems against defined requirements, white-box approaches require deeper visibility into software, interfaces, architectural decisions, and development artifacts. For automakers, this transparency is essential to integrate, modify, and continuously evolve systems over time. For suppliers, however, it raises critical questions around differentiation, intellectual property, liability, and the reusability of their solutions.

As a result, white-box collaboration cannot be reduced to a simple demand for greater transparency. It requires an explicit framework governing access rights, decision-making authority, change responsibility, and economic compensation. Without such rules, transparency may be viewed by automakers as a prerequisite for integration while suppliers perceive it as a one-sided disclosure of proprietary know-how. The result is not stronger collaboration, but structural mistrust.

At the same time, the logic by which value creation is assessed and compensated is changing. Traditional procurement models, particularly on the OEM side, remain heavily focused on tangible and easily quantifiable factors such as physical components, production volumes, and clearly defined project deliverables. Software platforms, shared toolchains, integration services, early-stage development efforts, and the continuous maintenance of software across multiple vehicle generations are difficult to capture within this framework. Tensions arise especially when OEMs expect substantial upfront investments from suppliers without clearly defining how those contributions will be used, monetized, or compensated over time.

This underscores a fundamental point: success in the SDV era will not be determined solely by which organization has the stronger engineering talent or the more advanced software architecture. What matters most is whether automakers and suppliers can develop a shared understanding of how responsibility, control, risk, and value are distributed across the future ecosystem.

Scaling requires new rules of the road

 The analysis shows that SDV can only be scaled successfully if collaboration across the ecosystem becomes more predictable and reliable. For OEMs, this primarily requires clear target architectures, stable standards, and credible development roadmaps. These provide the foundation suppliers need to make long-term investment decisions with confidence. SDV requires significant upfront commitments, as suppliers must invest in platforms, reusable capabilities, and long-term operating models years before realizing a return. Such investments are only sustainable when the industry's strategic direction remains sufficiently stable over time.

At the same time, the industry needs commercial models that reflect the realities of the SDV era. Investments in platforms, toolchains, software integration, and continuous improvement throughout the product lifecycle cannot be adequately captured through traditional bill-of-materials (BOM) and project-based approaches. The study identifies this as a critical bottleneck: while technical capabilities have matured rapidly, the corresponding commercial frameworks have often failed to keep pace. As long as this gap persists, investment decisions will remain constrained and ecosystem partnerships will remain fragile.

In addition, the ecosystem requires clearly defined roles and redesigned collaboration models. The analysis suggests that a sustainable future operating model will not emerge through informal discussions or ad hoc alignment efforts. Instead, companies need structured dialogue around platform contributions, responsibilities, intellectual property, governance, and compensation, with these issues addressed well before projects get underway. Rather than pursuing large-scale implementation from the start, companies should test new collaboration models in practice, learn from experience, and refine them together.

Only when a shared understanding has been established can platform-based approaches and lifecycle-oriented operating models be implemented successfully and at scale. Otherwise, SDV risks remaining a compelling technological vision that falls short in industrial execution.