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Automation and a software-first approach to vehicles have become defining priorities among OEMs and Tier 1 and Tier 2 companies in automotive software development and mechanical engineering. And while the specifics and potential implications of this shift are still evolving, the conversation about the concept of the software defined vehicles (SDV) and how it is actively reshaping the automotive world needs to take place to understand the current landscape. We spoke with Dmytro Humennyi, a Ph.D. in robotics and automatic control systems and an automotive consultant at N-iX, to find out the state of SDV approach in 2026.
What is a software defined vehicle, and why is this concept important?
Software defined vehicle or SDV represents a fundamentally new approach to vehicle systems. In the traditional model, a vehicle's functions depend on specific physical components. For example, upgrading an infotainment system in a traditional vehicle requires replacing hardware components such as the head unit or display screen.
The software-defined vehicle approach changes this entirely. Instead of swapping hardware, manufacturers deploy code. New features, such as improved navigation, voice control, and streaming apps, can be added without touching any physical components, making the upgrade process more efficient and cost-effective, provided the underlying hardware supports them.
In short, more and more SDV functions are defined by what is "built in" through software rather than hardware. This is no longer a niche concept. According to IoT Analytics, 45% of automotive OEMs and suppliers consider switching to software defined vehicle approach as their current top priority, with 80% of them either have already moved or are in the process of moving to zonal car architectures [1].
How does this concept work in practice?
In a traditional sense, fixing, updating, or adding new car functionality to a component requires working on each system separately.
The SDV model introduces a unified central computing architecture that controls navigation, driver assistance systems, and multimedia through a single software layer. Updating the central software delivers fixes, new features, and performance improvements across all functions simultaneously. This mirrors how smartphone operating system updates work.
Tesla has been the most prominent real-world example of this approach, delivering over-the-air (OTA) updates that enhance capabilities like Autopilot, battery management, and navigation.
As of 2026, OTA updates have become an industry standard expectation rather than a differentiator. Brands like BMW, Volkswagen, Rivian, and Stellantis rolling out regular OTA software updates across their model lineups.
What are the benefits of a software defined vehicle from this perspective?
The software defined vehicle benefits are felt across both the driver and manufacturer experience. Here are the key advantages:
- Flexibility. No hardware replacement is needed for new features. Manufacturers simply update the software and push the new capabilities to the vehicle.
- Cost and time efficiency. Manufacturers avoid costly hardware redesigns. Drivers avoid lengthy service shop visits. Both sides save on maintenance costs.
- Reduced physical complexity. Fewer physical components translate to improvements in weight, energy efficiency, and long-term reliability.
- Personalization at scale. Software defined vehicle platforms now enable individualized driving profiles, with features like adaptive suspension tuning, personalized driver assistance sensitivity, and custom human-machine interface (HMI) layouts delivered entirely via software.
- Sustainability. By extending a vehicle's functional life through software rather than hardware replacement, SDV contributes to a lower overall environmental footprint. This is a growing priority as automakers work toward carbon neutrality targets.
So, is this about a different architectural design?
Yes, it is. Software defined vehicle architecture is built on the principle that most vehicle functions are controlled by software running on centralized computing units, rather than distributing tasks across dozens of individual electronic control units (ECUs).
Everything from sensor data processing to multimedia systems flows through this central layer. The SDV architecture mirrors the structure of modern cloud-native applications: modular, updatable, and scalable.
What are the component requirements for SDV?
A software defined vehicle needs several essential components: powerful processors, high-precision sensors for data collection, modular and updateable software stacks, and robust cybersecurity systems. The defining requirement is that all of these must operate as a unified, integrated system rather than isolated modules.
As of 2026, high-performance system-on-chip (SoC) platforms have become central to SDV deployments. NVIDIA DRIVE, Qualcomm Snapdragon Ride, and Mobileye EyeQ platforms are now widely referenced in OEM roadmaps as the processing backbone of next-generation SDV architectures.
How is the architecture of a software defined vehicle beneficial for manufacturers and drivers?
The architecture of software defined vehicle platforms allows vehicles to adapt to new requirements without changes to physical components. Hardware remains the same while software continuously expands its capabilities. It now allows for adding self-driving enhancements, entertainment upgrades, or new safety features over time. This also enables manufacturers to reduce costs, optimize resource allocation, and adopt a more sustainable production approach.
In addition, Deloitte's 2026 Global Automotive Consumer Study found that consumers are more willing to keep their cars longer, provided they receive regular OTA updates [2]. For manufacturers, switching to SDV is one way to build brand loyalty through consistent digital interactions, increase software-driven revenue, and minimize dependence on hardware redesigns.
If we go back to the roots of SDV, what factors contributed to its origin?
The concept of software defined vehicle results from technological advancements, especially in microelectronics, sensors, and data processing domains. What has become possible for smartphones and laptops has migrated to and been applied in the automotive industry.
Another critical factor was the availability of cheaper, more precise sensors, such as cameras and radars. Let’s not forget that OEMs are businesses, and as businesses, they should adopt a more cost-efficient manufacturing approach. So, as sensors have become more common and their costs have decreased over the last decade, you now have more reasons to adopt technologies that depend on them (IoT, computer vision, etc.).
Will any old approaches lose relevance with the rise of software defined vehicles?
Since most functions in this type of vehicle are centralized, I think we will see a decrease in multiple ECUs within one vehicle. We will also see the transformation of service centers as the updates will take place over the air. It’s also possible that car dealerships will change their approach to car selling, moving away from looks and toward the vehicle’s capabilities.
Are there new technologies that will gain popularity thanks to SDV?
Artificial Intelligence and Machine Learning remain the most critical enabling technologies. In autonomous driving, these technologies allow vehicles to adapt to road conditions in real-time.
However, for that, they will need a set of reliable sensors powered with computer vision and on-device AI to process data in near real-time without relying on the cloud. IoT will play an important role in this case as well.
Agentic AI and generative AI in the cabin have emerged as a significant new area. Automakers like Mercedes-Benz and Volkswagen have integrated large language model (LLM)-based voice assistants into their SDV platforms, enabling more natural, context-aware in-car interactions beyond traditional command-based voice control [3].
Vehicle-to-everything (V2X) connectivity continues to mature, with 5G-based cellular V2X deployments expanding across key markets in Europe, North America, and China. It will enable real-time communication between vehicles and infrastructure at scale.
Explore further: AI in the automotive industry: Fueling a smarter, safer driving experience
How will the software defined vehicle features and new vehicle architecture impact service provision, business models, and the economy of the automotive sector?
Reducing physical components lowers both production and maintenance costs, potentially expanding access to more affordable vehicle tiers. Subscription models for features and services, something like SaaS in the enterprise world, are now moving from concept to mainstream deployment.
BMW, Mercedes-Benz, and GM have all launched tiered subscription services for software defined vehicle features, including advanced driver assistance, acceleration on demand, heated seat activation, and connected services packages. This marks a structural shift in how automotive revenue is generated. The businesses are moving away from one-time hardware sales toward recurring software-driven revenue streams.
Semiconductor demand will also continue to rise sharply as SDV adoption grows, with automotive chips among the fastest-growing segments of the global semiconductor market. According to McKinsey, the automotive semiconductor market has been valued at around $75B in 2024, making it one-third of a total global semiconductor market value [4].
What about the novelties on the tech side? What new technologies and solutions can SDV bring?
The wider adoption of software defined vehicles will pave the way for the development and improvement of many solutions and technologies. SDV needs robust processors for data processing, AI algorithms for decision-making, modular software architectures, and cybersecurity systems, especially for autonomous driving.
We will also see more advancements in creating better sensor systems. The industry will also lean more toward modular software architectures. Cybersecurity technologies will become even more important since integrating different systems increases the risk of attacks.
Another thing is wider adoption of digital twins technology, the virtual replicas of physical vehicles. They are now used as a tool for SDV development and validation. OEMs can simulate software updates and new-feature rollouts in a digital twin environment before deploying them to physical vehicles, reducing the risk of field issues and accelerating development cycles.
However, that's not all. With the broader adoption of SDV, we will have new functional safety standards that will impact integration with existing systems and production.
Find out how data analytics works in the automotive industry
What will the future of AUTOSAR and ISO 26262 be?
These standards were built around a hardware-first manufacturing model and will continue to evolve to accommodate SDV requirements. AUTOSAR Adaptive Platform is already designed with the modular architectures that SDV demands in mind. ISO 26262 will similarly be extended and complemented by emerging standards such as ISO/SAE 21434 for cybersecurity to address the software-centric risks.
More on topic: Will RISC-V adoption in automotive challenge traditional paradigms?
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Will classic approaches become obsolete?
I don't think so. Not in the near future, at least. The traditional approaches will remain relevant in certain market segments where cost is the primary barrier. However, software defined vehicle features are progressively becoming accessible beyond the premium tier. Some SDV platforms from Chinese OEMs like BYD and SAIC are demonstrating that core SDV capabilities, such as centralized compute, OTA updates, and AI-assisted driving, can now be delivered at significantly lower price points. It accelerates the global democratization of technology [5].
What should we expect after the full switch to SDV?
At scale, the software defined vehicle transition will drive new business models, significant resource redistribution, and a new era of personalized mobility. Subscription-based updates, on-demand driver-assistance upgrades, and over-the-air entertainment packages will become standard offerings.
At the same time, it will increase the demand for cybersecurity. As interconnected SDV systems grow more complex, their attack surface expands. It will make standardized, robust cybersecurity frameworks a non-negotiable requirement.
What are the main challenges of SDV implementation for the automotive market?
The two primary software defined vehicle challenges remain: adapting existing legacy systems to new software-centric standards, and integrating SDV with existing infrastructure. Both require significant investment and coordinated modernization across governments, OEMs, software suppliers, and other stakeholders.
Recently, a third challenge has gained prominence: talent and organizational readiness. The shift to SDV requires automotive companies to recruit and retain software engineers at a scale and pace that the industry is still struggling to match. Traditional automotive engineering expertise alone is no longer sufficient, and bridging this gap remains one of the most pressing human capital challenges in the sector. And this is a global challenge, so we may face the so-called "battle for talent".
What services can N-iX offer in the SDV domain?
N-iX boasts a wide range of services necessary for the production of this type of vehicle. From software development for autonomous control systems to cybersecurity solutions, predictive maintenance, and the integration of new components and full-cycle automotive testing—anything related to the software side of the car. We have an excellent team of experts in robotics, IoT in automotive, embedded development, computer vision, data analytics, AI, and ML, making us a reliable software partner for Tier 1 and Tier 2 automotive companies and OEMs.
What sets us apart from the competition is our experience developing software solutions across different automotive industry segments.
For example, we have developed solutions for the UK's leading car dealership to improve its inventory, business, and warranty management. We have also modernized legacy systems and developed a fleet management system to help our client expand its market share by providing EV-charging services. We also have hands-on experience developing mobile apps to streamline the operation of clients’ Bluetooth headsets for motorcycle helmets and improve communication between multiple riders over long distances.
Most recently, N-iX launched AMPERE, an energy management solution. It addresses two core efficiency challenges in SDV platforms: predicting and optimizing energy consumption.
As the SDV landscape continues to mature, N-iX continues to expand its consulting and development capabilities to help automotive companies navigate the transition confidently. N-iX has plenty of service and solution options for any automotive company to start a smooth transition to a new era of software defined vehicle.
Sources:
- 7 lessons manufacturers can learn from automakers in the era of software-defined everything | IoT Analytics
- 2026 Global Automotive Consumer Study | Deloitte
- AI-powered conversational search within navigation systems | Mercedes-Benz Group
- Hiding in plain sight: The underestimated size of the semiconductor industry | McKinsey
- 15 million new Chinese EVs to have self-driving features this year | South China Morning Post
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