As consumer demand for intelligent features in automobiles continues to grow, modern cars are gradually becoming software-driven mobile terminals. It is estimated that approximately 400 million vehicles worldwide are "connected cars" capable of real-time monitoring and connectivity. Automakers are continuously launching higher-quality features and services, and implementing software updates through OTA (Over-the-Air) technology. The concept of the software-defined vehicle (SDV) has emerged accordingly. Its core idea is to decouple hardware from software, using software to define vehicle functions and performance, transforming vehicles from means of transportation into "smartphones on wheels," and further evolving into "adaptive platforms on wheels."
Concept and Drivers of Software-Defined Vehicles
The development of software-defined vehicles has been inspired by the business model innovation of the smartphone industry. Smartphone companies rapidly iterate products through hardware standardization and software differentiation, and the automotive industry is attempting to adopt a similar model. Key success factors for SDVs include decoupling network functions from proprietary hardware, as well as automakers establishing independent software subsidiaries to drive software commercialization. These measures can significantly shorten software update cycles, enhance the in-car user experience, and deliver new features or performance optimizations to different vehicle domains via OTA updates without requiring extensive hardware modifications.
Market Trends and Revenue Models
Market research shows that the market share of SDVs will continue to grow over the next decade. While commercial vehicles will account for a gradually increasing share, passenger cars will still hold more than 80% of the market. Among application areas, advanced driver assistance systems (ADAS) account for the largest share, followed by autonomous driving, in-vehicle infotainment systems, and powertrain control. ADAS includes features such as lane keeping, automatic emergency braking, and adaptive cruise control, which can significantly improve driving safety. A growing number of automakers are beginning to deploy Level 3 and above autonomous driving capabilities, while subscription-based infotainment services are also becoming increasingly common.
In terms of revenue models, software sales as a share of the automotive industry's total revenue have risen from 3% in 2019 to 14% in 2025. Tesla pioneered paid software upgrades and subscription services, such as charging for OTA upgrades of features like Autopilot, powertrain, and infotainment systems, as well as offering premium connected vehicle services on a monthly subscription basis. This model is now being adopted by more automakers.
Technology Maturity and Evolution Levels
In terms of technology evolution, SDVs are divided into multiple maturity levels. From initial mechanical control (Level 0) to a fully software-defined ecosystem (Level 5), each stage is accompanied by changes in connectivity, IT infrastructure, software development, software architecture, cybersecurity, and semiconductor technology. Taking semiconductors as an example, their development path transitions from large-scale microcontrollers and systems-on-chip (SoCs) to high-performance SoCs, and may ultimately achieve neuromorphic chips to support a wider range of applications.
Evolution of the OEM and Supplier Ecosystem
The Evolution of the OEM and Supplier Ecosystem
Software-defined vehicles have also profoundly changed the ecosystem of OEMs and suppliers. The traditional OEM-Tier 1 supplier model is shifting toward an OEM-Tier 0.5 supplier model, where OEMs have greater say in product definition and architecture design, while suppliers become strategic partners. This shift has given rise to four main automotive software business models: custom software development and engineering services, consulting and technical services, software intellectual property licensing and application development, and integrated hardware-software products and solutions. Many OEMs have begun developing their own operating systems and leveraging public and private clouds for data management and analysis, even bypassing traditional suppliers to work directly with software vendors.
The Evolution and Future of E/E Architecture
The E/E (electrical/electronic) architecture is also evolving continuously. In the early modular architecture, each function was managed by an independent electronic control unit (ECU); subsequently, domain controllers emerged to integrate related ECUs; this further developed into a centralized architecture that fused domain controllers, and ultimately moved toward an architecture combining zone controllers with a central vehicle computer. In the future, more advanced E/E architectures will migrate more embedded functions to the cloud, enabling hybrid high-performance computing and cloud computing, and dynamically upgrading autonomous driving algorithms based on real-time road conditions, weather, and traffic conditions.
Conclusion
Taken together, software-defined vehicles are reshaping the technological paradigm and business models of the automotive industry. OTA updates, hardware-software decoupling, and highly integrated E/E architectures not only extend the service life of vehicle electronic components but also bring users a personalized, upgradable mobility experience. As the technology continues to mature, SDV is expected to become the core hub of the future intelligent transportation ecosystem.