THE ARCHITECTURE PROBLEM

The current Software-Defined Vehicle has an architecture problem.

The industry is adding software-defined capabilities to a fragmented foundation – separate controllers, separate software, separate suppliers. Every new capability brings more compute, integration, dependencies, and validation, increasing what it costs to develop, build, and update the vehicle.

Vehicle functionality changed. The architectural model didn't.

The industry is still building a fragmented car, built one box at a time

Traditional vehicle architectures were created for a simpler purpose: connect dedicated hardware to largely fixed mechanical and electrical functions.

The modern vehicle is expected to operate as a connected, intelligent platform supporting digital cockpits, advanced driver assistance, AI-driven functions, continuous software updates, personalized experiences, connected services, and capabilities that continue evolving after the vehicle leaves the factory.

An outdated foundation creates compounding complexity, slows software development, locks in technology decisions, and drives cost across the vehicle lifecycle.

RISING ECONOMIC PRESSURE

The Cost of Software-Defined Vehicles

OEM in-vehicle software spend

USD billion

$26B 2021 $38B 2024 $59B 2030* PROJECTED
+14% per year

* Projected. Source: Roland Berger / SDVerse study.

25–30%

of total R&D

now allocated to software

7 major OEMs

≈$93B

disclosed cost

since 2017

12 OEMs + Tier-1 suppliers

These were some of the industry’s most serious attempts to change how vehicles are developed.
No amount of software investment can out-engineer a fragmented architecture underneath it.

Architectural complexity becomes vehicle cost.

The cost of architecture is not recorded in one component or one budget. It is distributed across engineering hours, integration programs, validation cycles, material costs, manufacturing operations, supplier coordination, and years of lifecycle support.

HARDWARE COST

New controllers, processors, connectors, wiring, power distribution, cooling, packaging, and mounting requirements increase the vehicle’s bill of materials.

INTEGRATION COST

Every new hardware and software environment must communicate with existing vehicle systems. More interfaces mean more engineering coordination, more supplier dependencies, and more points where incompatibilities can emerge.

VALIDATION AND SAFETY COST

A change in one system can affect many others. Each new dependency expands the number of conditions, configurations, and interactions that must be tested before the vehicle can be released.

MANUFACTURING COST

More parts and variants increase sourcing, inventory, assembly, diagnostics, quality control, and supply-chain complexity across every model, trim, and market.

LIFECYCLE COST

Every additional controller and software environment must be updated, maintained, secured, serviced, and supported throughout the life of the vehicle.

COMPOUNDING COMPLEXITY

Every new function adds more than compute.

As new capabilities are introduced, the vehicle accumulates another controller, processor, software image, network interface, and supplier-owned environment. Besides that, every additional box also brings physical requirements: pins, connectors, wiring, power, cooling, packaging, and space.

Furthermore, a vehicle harness is specific to its model. That means even the simplest change creates repeated physical and engineering work across an entire vehicle portfolio.

Harness figures: Siemens Digital Industries Software; physical totals via Q5D. ECU figure: Bosch.

Zonal reduces the box count but keeps the architecture fragmented.

Zonal reduces wiring, consolidates some functions, and removes some electronic control units from the vehicle. But each controller is still a computer with its own software, interfaces, security requirements, validation obligations, and lifecycle responsibilities.

Zonal rearranges and reduces the boxes, but the car is still fragmented – just into fewer, larger pieces.

Every new feature adds another seam in a fragmented car.

As the number of systems increases, complexity grows through the relationships between them. A change in one function can affect multiple controllers, interfaces, configurations, and validation requirements. And that is carried throughout the vehicle lifecycle.

More

Functions

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More

Hardware and software environments

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More

Interfaces and dependencies

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More

Integration and validation paths

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The consequence

More cost, risk, and time required for every change

SLOW, LOCKED-IN SOFTWARE

Software moves at the speed of the architecture beneath it.

When functions remain distributed in a fragmented vehicle, a software change can trigger cross-controller integration, supplier coordination, regression testing, safety verification, and vehicle-level validation. The result is a fundamental mismatch: software is expected to evolve continuously while the architecture remains tied to vehicle-program cycles.

Today's architecture locks in tomorrow's decisions.

When hardware, software, and supplier-owned functions are tightly coupled, changing a processor, sensor, supplier, or software stack can require redesign, reintegration, and revalidation.
The longer a decision remains embedded in the architecture, the more expensive it becomes to change.

This determines how quickly an OEM can respond to:

SUPPLIER AND SUPPLY-CHAIN CHANGES

REGULATORY REQUIREMENTS

NEW COMPUTE AND ACCELERATOR TECHNOLOGIES

NEW SOFTWARE CAPABILITIES

CHANGING CUSTOMER EXPECTATIONS

NEW SENSORS AND AI REQUIREMENTS

A DIFFERENT FOUNDATION

A software-defined vehicle needs a unified software-defined foundation.

Incrementally improving a fragmented architecture can reduce individual symptoms, but it does not eliminate the underlying structural problem.

A different architectural model is required to reduce hardware/software coupling, consolidate compute, simplify integration, and allow software and hardware to evolve more independently.