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Software-Defined Vehicle Survey 2025 eBook

The 2025 SDV Survey, sponsored by Sonatus and conducted by Wards Intelligence, highlights the automotive industry’s shift towards AI, OTA updates, and advanced software. Over 500 professionals from Asia, Europe, and North America participated, emphasizing AI, OTA updates, and software capabilities as crucial for future mobility.

Download this eBook, which features selected key results from the 2025 edition of the Software-Defined Vehicle Survey, to learn how:

  • The industry is shifting gears to software
  • AI as a driver of new capabilities
  • OTA Updates are becoming more pervasive
  • A modular and progressive approach to software architecture

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Frequently Asked Questions

The industry has undergone a fundamental shift in how it characterizes and prioritizes Software-Defined Vehicles (SDVs).
- From Data to AI: While the focus in 2024 was primarily on data management and systems integration, the 2025 priority has pivoted toward AI integration and advanced software capabilities.
- Accelerated Technologies: Implementation timelines for foundational software capabilities have accelerated, with near-term adoption of Continuous Integration/Continuous Deployment (CI/CD) surging from 20% to 74% and OTA updates tripling in current implementation.
- Delayed Architecture: Conversely, complex architectural transformations like Zonal Architecture have been pushed back; expectation for near-term implementation dropped from 23% to 2%, with the majority now expecting it after 2028.

The survey identifies a strategic, three-phase progression for AI deployment, prioritizing core functionality over novelty.
- The Timeline:
- Phase 1 (2026–2027): AI will first be deployed in ADAS and autonomous driving systems.
- Phase 2 (2028–2029): Focus shifts to vehicle applications such as infotainment and comfort features.
- Phase 3 (2030+): AI will finally be integrated into organizational processes, though Japan projects this stage later, around 2032–2033.
- Core Functions vs. Infotainment: Contrary to the popular focus on voice assistants, the most promising AI use cases are currently viewed as smart diagnostics (43%) and dynamic vehicle performance calibrations (42%). These core functions are prioritized because they offer capabilities smartphones cannot replicate, creating a foundation for better vehicle operation

While automated driving is a primary revenue driver globally, distinct regional preferences dictate specific SDV strategies.
- China: Uniquely prioritizes AI-based voice assistant services (41%) over automated driving for customer loyalty. For data applications, China focuses heavily on data-driven product development.
- Germany: Stands apart by ranking enhanced personalization (50%) and vehicle ride customization (41%) ahead of automated driving, reflecting a preference for active driving experiences.
- North America: Shows a balanced priority list but is the only region to prioritize occupant safety monitoring (43%) over data monetization.
- Japan: Demonstrates the strongest preference for automated driving features (47%) and is highly committed to vehicle data monetization (61%).

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