What Is a Software-Defined Vehicle?

Most vehicles leave the factory with a fixed set of features. Software-defined vehicles don’t. They continue to evolve after they’re on the road, with updates that improve performance, add functionality, and change how systems behave over time.

This article explains what defines a software-defined vehicle and how software, data, and connectivity are changing the way vehicles are built and maintained.

• A software-defined vehicle separates hardware from software, so features can be updated and expanded over time.
• Centralized architecture and OTA updates allow vehicles to improve after production without requiring physical changes.
• Data, connectivity, and AI support more personalized experiences and open the door to new services and revenue streams.

A software-defined vehicle (SDV) is a vehicle where the core functions are controlled and updated through software rather than fixed hardware. While more traditional vehicles may have various computers and controllers operating within them to help manage functions, that software and hardware are usually working on their own and not integrated with each other.
Software-defined vehicles, however, have larger software systems that integrate multiple elements of a vehicle together into one system.

The software in an SDV manages features such as infotainment, safety systems, performance, and more.

Traditional vehicles are built around fixed-function hardware. Each component does its job, but systems operate in isolation, and changes usually require physical updates or replacements. When something goes wrong, diagnosis often depends on manual inspection rather than built-in intelligence.

Software-defined vehicles change that model. Instead of locking functionality into hardware, software controls how systems behave and interact. That means features can be updated, refined, or expanded over time through software updates, without requiring changes to the underlying components.

This approach also separates how long the hardware lasts from how quickly the vehicle can improve. You’re no longer tied to the original feature set that came off the assembly line. The vehicle can continue to evolve with new capabilities, better performance, and more advanced diagnostics well after it’s on the road.

The way software-defined vehicles can continuously improve their automotive software and other features not only helps them last longer, but also allows the companies that produce them to discover new ways to increase their revenue.

For example, software-defined vehicles support new revenue models such as subscriptions and upgrades. These business models also help improve the customer experience through various vehicle personalizations and updates that a customer may find worth paying for their specific vehicle.

So now that we have a better idea of what it means to be a software-defined vehicle, let’s talk about the main elements of SDV architecture.

The centralized computing architecture of a software-defined vehicle replaces distributed electronic control units with centralized computer platforms. This improves performance, coordination, and system integrations.

This centralized computing architecture also simplifies software deployment and updates to make them much more convenient for both customers and builders alike.

Zonal architecture organizes a vehicle’s systems by physical areas instead of assigning each function to a separate component. Each zone is managed by a controller that oversees multiple functions within that part of the vehicle, rather than relying on isolated systems.

This design reduces wiring complexity and makes it easier to scale or modify the vehicle’s architecture over time. It also improves how systems communicate, so issues can be identified and addressed more quickly without relying on manual diagnosis.

In traditional vehicles, software is tightly tied to specific components, which limits how systems can be updated or improved. Software-defined vehicles take a different approach by separating hardware from the software that controls it.

This decoupling allows updates to happen independently of the underlying components. The hardware continues to operate as designed, while the software can evolve over time with new features, improved performance, and better diagnostics. It also creates a foundation for more flexible vehicle design, where systems aren’t locked into fixed configurations.

Platform-based development builds on that separation by standardizing software across vehicle models and generations. Instead of developing each system from scratch, manufacturers can reuse core software components and apply them across multiple vehicles.

This reduces development time and lowers costs, while also making it easier to roll out updates and maintain consistency across product lines.

Here are some of the technologies that make SDVs work.

Embedded software systems help control core vehicle functions such as powertrain, safety, and infotainment. These systems help to enable real-time processing and responsiveness, improving the performance of the entire vehicle.

Connecting vehicles to cloud platforms helps with any type of task that requires or benefits from data exchange. These connected car cloud platforms make remote monitoring, diagnostics, software updates, and other types of software-assisted tasks possible.

Over-the-air updates are just what they sound like. They’re software updates that your car gets without requiring physical service visits to a specific shop, charging station, or other location.

Over-the-air updates help improve a variety of software features, fix tech issues, and add new capabilities to the vehicle. In turn, this extends both the vehicle’s lifespan and value.

Data collection and processing help to capture data from sensors, systems, and user interactions to see not only how individual parts are performing, but how that performance helps or hurts large systems overall. SDVs generate terabytes of data Data collection and processing help analyze data to improve performance and the customer experience.

A major benefit of software-defined vehicles is how they leverage technology to improve performance and the user experience. Here are some of the technologies that make SDVs so successful at what they do.

AI in automotive spaces has predictive maintenance and advanced driver assistance, which makes the vehicle not only last longer but also perform better in certain situations where additional help may be needed.

AI technologies can also help support autonomous driving capabilities in certain kinds of vehicles, which is not only considered a luxurious experience, but could be vitally important to some people with specific disabilities.

AI can also help improve vehicle personalization and decision-making, improving the customer experience in a variety of ways.

Connected car technologies allow communication between vehicles, infrastructure, and cloud systems to support real-time updates and services as well as enhance safety and navigation.

Vehicle operating systems and middleware help to provide a platform for running various applications and services. These applications and services can execute on a wide variety of tasks. Many of them help manage communications between hardware and software layers of the SDV so the vehicle can work as a whole unit rather than a collection of parts.

Edge computing helps process data locally within the vehicle itself. Rather than having to send its data to a third-party location, the vehicle can analyze how its parts and systems are performing in a specific context. This makes it easier to provide certain recommendations on when parts should be repaired or replaced.

This local edge computing capability reduces latency for critical functions and supports real-time decision-making.

There are many benefits to software-defined vehicles that help impact the business and operational goals of a company.

The way software-defined vehicles are able to update over the air allows for faster and easier updates. Instead of waiting for a new model release, updates can be delivered as needed, extending the usefulness of the vehicle and reducing reliance on service visits.

• Improve performance and functionality over time based on real-world usage
• Reduce the need for hardware replacements or dealership updates

With fewer dependencies on hardware changes, development cycles move faster. Software can be tested, refined, and deployed more frequently, which shortens the gap between idea and release.

• Release new features without waiting for full production cycles
• Respond more quickly to market demands and customer feedback

Frequent updates and better access to data make it easier to refine how the vehicle behaves over time. Features can adapt to how the vehicle is used, rather than staying static.

• Tailor settings and features based on driver behavior and preferences. AI learns driver preferences—from seat positions and cabin temperature to preferred charging stations—and dynamically adjusts the vehicle environment the moment the driver unlocks the door.
• Keep the driving experience current through ongoing updates

Software-defined vehicles open the door to new ways of delivering and monetizing features after the initial sale. Instead of a one-time transaction, value can continue to grow over time.

• Offer paid upgrades or subscriptions tied to specific features
• Introduce new services without requiring new hardware

AI models analyze sensor data in real-time to predict component failures before they happen, automatically alerting the driver and scheduling a service appointment.

While there are many benefits to software-defined vehicle adoption, it also comes with challenges that are worth being aware of.

When SDVs need to depend more on software to make the whole vehicle function properly, that means those entire software systems have to become more complex. That complexity becomes a challenge as it means there’s more work that needs to be done in:

• Managing multiple systems and dependencies
• Ensuring compatibility across hardware and software

As vehicles start collecting more and more data, they become targets for data thieves. That means developers have to put more resources into:

• Protecting vehicle systems from threats
• Safeguarding user data and complying with regulations

Massive amounts of data, handled locally or elsewhere, have to be scalable. Otherwise, the data is not very usable. Those looking to develop SDVs need to consider how they will:

• Handle large volumes of data and processing requirements
• Maintain reliability across systems

SDVs are built to operate in a fundamentally different way from traditional vehicles. So the teams that work on them have to work in a fundamentally different way as well. These teams need to learn how to:

• Transition from hardware-focused to software-focused teams
• Adopt new development and deployment processes

Software-defined vehicles change how automotive companies and dealers deliver value and generate new revenue over time.

• Subscription and feature-on-demand models: Offer features as paid upgrades after purchase, giving you more flexibility in pricing while letting customers choose what they actually use.
• Data-driven services and insights: Use vehicle data to support new services that improve engagement, such as maintenance insights, usage-based features, or performance tracking.
• Integration with ecosystems and partners: Connect with third-party applications and services to extend functionality beyond the vehicle, including updates delivered through connected car app announcements that keep drivers informed in real time.

Preparing for a software-defined vehicle strategy means rethinking how your systems, data, and teams work together. A few areas tend to make the biggest difference:

• Build a scalable software architecture: Focus on systems that can support ongoing updates and adapt as requirements change. Modular design makes it easier to expand capabilities without reworking the entire platform.
• Invest in data and connectivity: Vehicle data becomes far more valuable when it can be collected, processed, and shared across systems. That includes connecting cloud and edge environments so insights can be acted on quickly.
• Align teams and development processes: Software-driven vehicles require closer collaboration between engineering, IT, and data teams. Moving toward software-first development models helps reduce handoffs and keeps work moving more efficiently.
• Choose the right technology platform: Not all OEM automotive software is built to support integration and long-term growth. Look for platforms that bring systems together and provide a unified foundation for data and AI.

To fully monetize a software-defined vehicle, your customer data must be as agile as your vehicle data. Disconnected legacy CRM systems and fragmented ERPs cannot support the real-time, personalized experiences that modern drivers expect.

Salesforce’s Automotive Cloud CRM bridges the gap between the vehicle and the customer. By unifying vehicle telemetry, customer insights, and dealer operations onto a single platform, you empower your entire network.

With AgentforceAutomotive you can deploy autonomous AI agents that act on vehicle data instantly, turning a low-battery alert into an automated service booking, or transforming a software update into a personalized upsell opportunity.

Learn more about how to get the best software-defined vehicle with Salesforce.