The phrase “software-defined vehicle” appears in almost every automotive strategy discussion. Yet many manufacturers are still trying to answer a surprisingly practical question:
What actually changes when a company starts building vehicles around software rather than around hardware components? The answer is rarely a single technology.
A software-defined vehicle strategy affects vehicle architectures, development processes, cloud infrastructure, validation methods, connectivity platforms, data ecosystems, and even how new features are delivered to customers.
This is one reason the transition has proven challenging. Most automakers are not building entirely new businesses. They are trying to evolve existing organizations, existing vehicle programs, and existing engineering environments while introducing new software capabilities at the same time.
That balancing act has created significant demand for engineering and technology partners capable of supporting the transition.
The companies below are among those helping automotive brands navigate the road toward software-defined vehicles.
The Shift Is Bigger Than Vehicle Software
A common misconception is that software-defined vehicles are primarily about writing more code. In reality, the challenge is often architectural.
Manufacturers need environments capable of supporting:
- Over-the-air updates
- Connected services
- Centralized software architectures
- Vehicle data platforms
- Continuous feature improvements
- Cloud-connected ecosystems
- AI-powered functionality
Many existing development environments were never designed around these requirements. This is why software-defined vehicle initiatives often become large-scale transformation programs rather than standalone engineering projects.
1. Avenga
Many software-defined vehicle programs begin with a specific objective. A manufacturer wants to improve connectivity. A supplier is introducing a new infotainment platform. An engineering team is working on cloud-enabled vehicle services.
Over time, these projects often become connected. Vehicle software starts interacting with cloud platforms. Data flows across multiple systems. AI initiatives require new infrastructure. Validation requirements expand as architectures become more complex.
Avenga supports organizations across these different domains through automotive engineering, connected vehicle development, cloud services, AI initiatives, validation programs, ADAS engineering, and in-vehicle software development.
Services include:
- Connected vehicle platforms
- In-vehicle software development
- Cloud integration
- Data and AI solutions
- Automotive engineering
- ADAS support
- Validation services
- AUTOSAR development
For organizations evaluating automotive software development services, Avenga is often considered for projects that combine vehicle software with broader ecosystem development.
2. Codica
The software-defined vehicle discussion often focuses on engineering inside the vehicle. The surrounding digital ecosystem is equally important.
Customer applications, mobility services, digital marketplaces, fleet platforms, and cloud-based services increasingly influence how automotive brands deliver value.
Codica focuses on these customer-facing and business-facing platforms. The company develops custom software products, cloud solutions, marketplaces, mobile applications, and digital platforms designed to support evolving automotive business models.
Services include:
- Marketplace development
- Mobile applications
- Cloud solutions
- Custom software development
- UI/UX design
- Product discovery
- Platform optimization
- Ongoing support
Organizations looking for an automotive software development company focused on digital products frequently evaluate Codica as part of vendor selection processes.
3. Intellias
The shift toward software-defined vehicles is creating demand for technologies that extend beyond the vehicle itself. Connectivity, cloud infrastructure, data platforms, and digital mobility services increasingly play a central role in SDV strategies.
Intellias supports automotive organizations through projects involving connected vehicles, telematics systems, cloud engineering, electric mobility solutions, and automotive data ecosystems. Its experience spans both vehicle software and the digital infrastructure needed to support long-term software-driven business models.
Services include:
- Connected vehicle solutions
- Telematics platforms
- Cloud engineering
- Data and analytics solutions
- EV software development
- Fleet management systems
- Automotive testing
For OEMs building long-term software-defined vehicle strategies, Intellias is often considered among the established automotive technology partners in the market.
4. Luxoft
Software-defined vehicles create new opportunities. They also create new layers of complexity. Features become more interconnected. Software updates affect larger parts of the vehicle ecosystem. Engineering teams must coordinate across multiple disciplines.
Luxoft has spent years supporting manufacturers operating in these environments. Its automotive expertise includes connected vehicle systems, embedded engineering, autonomous technologies, digital cockpits, and software integration programs.
Services include:
- Connected vehicle solutions
- Embedded engineering
- Digital cockpit development
- Software integration
- Validation services
- Autonomous driving support
Its experience across multiple vehicle technologies makes Luxoft a regular participant in SDV initiatives.
5. GlobalLogic
Software-defined vehicles are ultimately experienced by drivers. The architecture matters. The customer experience matters too.
GlobalLogic focuses heavily on the connection between software engineering and digital experiences.
Its automotive work includes connected mobility, embedded development, cloud integration, vehicle connectivity, and digital product engineering.
Services include:
- Connected mobility solutions
- Embedded software
- Cloud integration
- Digital experiences
- Vehicle connectivity
- Data platforms
For manufacturers seeking to improve both software capabilities and customer experiences, GlobalLogic remains a common choice.
6. EPAM
One challenge facing many software-defined vehicle programs has little to do with vehicles. It involves data.
Modern vehicle ecosystems generate enormous volumes of information that need to be processed, secured, analyzed, and integrated into business operations. EPAM frequently supports organizations working through those challenges.
Its expertise spans cloud transformation, connected platforms, software engineering, enterprise modernization, and large-scale data initiatives.
Services include:
- Product engineering
- Cloud transformation
- Connected platforms
- Data engineering
- Enterprise modernization
- Digital products
Many automotive organizations involve EPAM when software-defined vehicle initiatives begin overlapping with wider business transformation efforts.
7. Akkodis
Software-defined vehicle programs rarely focus on a single technology. Vehicle connectivity, embedded software, cloud services, validation frameworks, and digital engineering initiatives increasingly need to work together as part of a broader ecosystem.
Akkodis supports manufacturers through projects involving connected mobility, embedded software engineering, vehicle electronics, cloud technologies, validation services, and digital transformation. Its automotive expertise spans both traditional engineering disciplines and modern software-driven development environments.
Services include:
- Connected mobility solutions
- Embedded software engineering
- Vehicle electronics development
- Cloud and digital engineering
- Vehicle integration
- Validation and testing
- Digital transformation support
For organizations investing in future vehicle architectures and software-driven mobility platforms, Akkodis is often included in automotive engineering evaluations.
What OEMs Usually Discover During SDV Programs
Many manufacturers begin software-defined vehicle initiatives expecting a technology project. What they often encounter is an organizational project.
New architectures influence development processes. Data becomes more important. Software teams collaborate more closely with vehicle engineering groups. Cloud infrastructure becomes part of product strategy.
Some of the most common focus areas include:
- Centralized vehicle architectures
- OTA update capabilities
- Vehicle data ecosystems
- Cloud-native platforms
- Software lifecycle management
- Cross-functional engineering workflows
The technology matters, but the surrounding operating model matters just as much.
Software-Defined Vehicles Are Really About Flexibility
The biggest benefit of a software-defined vehicle is not a specific feature. It is the ability to introduce future features more efficiently.
Manufacturers are investing in architectures that support adaptation rather than rigid development cycles. New services, software updates, digital experiences, and connected capabilities become easier to deliver when the foundation has been designed for change.
Expertise in automotive software development continues to play such an important role in SDV programs. The companies listed above are helping automotive brands build the foundations that support that flexibility.