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智能座舱竞争转向“数据质量、场景颗粒度与深度适配”之争
Xin Jing Bao· 2025-11-28 03:47
Core Insights - The automotive industry is experiencing a trend of functional homogenization due to the widespread adoption of large model capabilities, shifting competition from "model scale" to "data quality, scene granularity, and depth adaptation" [1] - Companies need to build an integrated closed-loop capability of "scene-data-model" to achieve "model as application," creating differentiated experiences in real-world usage scenarios [1] Industry Trends - There is an increasing willingness among users to pay for comfort hardware such as smart seats and smart audio systems, with experience depth becoming a key value anchor for future smart cockpits [1] - The interaction paradigm of smart vehicles is transitioning from "passive response tools" to "proactive cognitive partners," moving beyond user-triggered commands to proactively predicting and providing services based on integrated sensor data, user behavior, and contextual needs [1] Future Directions - By 2025, smart cockpits are expected to shift from "digital redundancy" to "pragmatism," with a rational transformation in smart cockpit interactions, leading to a "rebalancing" of touch controls and physical buttons [1] - The competitive focus of future smart cockpits will return from "breadth of functionality" to "depth of experience" [1]