Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!
If you prefer listening, check out our podcast summarizing the most relevant insights from Next-Gen Vehicle Intelligence CW 43/ 44:
Software-defined vehicle (SDV)
SDV architectures are moving from slides to stack thinking, emphasizing pragmatic decomposition and dependency clarity
Industry analysis stresses semiconductor control points as decisive levers for SDV competitiveness
OEM strategies are pivoting toward digital services and lifecycle software revenue as core planning assumptions
E/E architecture and middleware
Zonal and service-oriented designs are highlighted as the backbone for safe and fast software rollout
Middleware selection is increasingly tied to safety cases and real-time determinism, not just feature lists
Blueprint efforts are aligning open communities with production-grade constraints to minimize integration risk
Testing and validation
Validation has shifted left via virtual ECUs and system-level testing to compress development cycles
Scenario-based simulation and coverage thinking are bridging the gap between lab and road truth
Test strategy is reframed as a product capability with traceability across toolchains and suppliers
Cybersecurity and safety
Platformized security offerings are emerging to meet R155 and ISO 21434 obligations at scale
Continuous vulnerability management is positioned as a runtime discipline rather than a pre-SOP task
Safety cases are being tied directly to software release cadence and OTA operational controls
Connectivity and OTA
Edge-to-cloud pipelines are prerequisites for SDV feature velocity and telemetry feedback loops
Data routing and bandwidth governance are gating factors for safe OTA rollouts
Navigation and cloud acceleration patterns are framed as shortcuts for faster time to value
AI and HMI
Human-like virtual assistants are being introduced for production HMI with persona-level interactions
AI is positioned to augment cockpit UX and engineering workflows across perception and analytics
Trust-building through explainability and user education remains a key adoption bottleneck
Chips and hardware
Semiconductor strategy is now the SDV chokepoint, with SoC roadmaps shaping OEM bargaining power
Hardware abstraction and compute partitioning are highlighted to future-proof domain controllers
Sensor and compute orchestration are enabling scalable ADAS capability growth
ADAS and autonomy
ADAS is recast as a software program with staged autonomy targets and disciplined driver hand-offs
Autonomous trucking is being evaluated through supply chain, regulation, and cost lenses
The perception stack evolution is linked to data operations and on-road learning efficiency
Cloud and data operations
Cloud accelerators for SDV stacks are showcased to cut integration time and effort
Data lakehouse patterns are emerging to create feedback loops from fleets to development teams
Data governance is treated as essential for compliant model training and reuse
Manufacturing and operations
R&D operating models are being challenged to match SDV release rhythms and shared ownership
Software bill of materials and release automation are becoming factory-grade disciplines
Supplier orchestration is reframed around software contracts, SLAs, and interface stability
Want to see the posts voices behind this summary?
This week’s roundup (CW 43/ 44) brings you the Best of LinkedIn on Next-Gen Vehicle Intelligence:
→ 60 handpicked posts that cut through the noise
→ 31 fresh voices worth following
→ 1 deep dive you don’t want to miss