This paper synthesizes contemporary theory and engineering practice at the intersection of electrified vehicle market dynamics and the evolving electronic/electrical (E/E) architectures that enable scalable, safe, and service-rich electromobility. Drawing strictly from the provided references, the work constructs an integrated argument that links macro-level trends in e-mobility adoption and market maturation with micro-architectural design choices — in particular, zonal E/E architectures, fault-tolerant controller strategies, and service-oriented software/hardware partitioning. The methodology is conceptual and analytic: first, we extract recurring themes and technical requirements from empirical and review sources about the global e-mobility transition; second, we map those requirements to architectural responses proposed in the automotive systems literature; third, we iterate theoretical models of dependability, network performance, and variant management compatible with zonalization and automotive Ethernet migration. Key findings show that zonal architectures, when combined with robust model-based variant management and dual-core lockstep strategies, simultaneously address scalability, safety, and supply-chain complexity while creating new constraints in software modularity and network determinism (Bernhart et al., 2021; Maul et al., 2018; Abdul Salam Abdul Karim, 2023). The discussion interrogates trade-offs between centralization and zonalization, explores how automotive-grade Ethernet reshapes failure modes and latency envelopes, and outlines research directions for formal verification of zonal controllers and for harmonizing market-driven product modularity with safety-critical real-time constraints. This paper concludes by advocating a layered research agenda bridging market analysis, system engineering, and dependability theory to enable the next generation of resilient, service-oriented electromobility platforms.

model-based engineering, variant management, automotive Ethernet, fault tolerance

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