决胜2026：科技出行十大战略技术趋势

Core Insights - The report "2026 China Technology Mobility Industry 10 Strategic Technology Trends Outlook" aims to provide a key action guide for decision-makers in the industry chain, focusing on cost reduction, enhanced user experience, and ecological collaborative innovation [1][1] - The Chinese technology mobility industry is undergoing a profound systemic transformation driven by the accelerated integration of intelligence, electrification, and artificial intelligence technologies [1][1] - The industry is transitioning from a phase of incremental expansion to a high-quality development stage centered on efficiency, scale, and systemic capabilities amid intensified global automotive competition and evolving profit models [1][1] Trend Summaries - Trend 1: Chiplet Restructuring Vehicle Chip Architecture The traditional single-chip SoC is inadequate for L3+ autonomous driving and advanced cockpit requirements. Chiplet architecture is emerging as a mainstream solution for high-performance intelligent driving chips, enabling cost optimization and demand-driven scalability [4] - Trend 2: AI Box Decoupling Computing Power Deployment AI Box is becoming a key transitional solution for OEMs to achieve flexible computing power expansion, supporting local AI capabilities without major changes to vehicle electronic architectures [6] - Trend 3: Accelerated Localization of Automotive Chips Driven by supply chain security and cost optimization, communication chips and power semiconductors are leading the way in domestic chip localization, transitioning from technical feasibility to large-scale implementation [10] - Trend 4: Optical Communication in Vehicles Optical communication is moving from technology validation to mass production, addressing bandwidth limitations and electromagnetic interference in traditional vehicle networks, with significant advancements expected by 2026-2027 [13] - Trend 5: 48V Low-Voltage Architecture The 48V architecture is becoming essential for high-power intelligent components in electric vehicles, with initial applications in high-end models expected to scale by 2026 [15] - Trend 6: Nearing the Inflection Point for Steer-by-Wire With the maturation of technology and regulatory frameworks, steer-by-wire systems are transitioning from small-scale validation to mass production, becoming critical for advanced driving capabilities [19] - Trend 7: Large Models Driving Intelligent Cockpits The evolution of large models is transforming intelligent cockpits into system-level intelligent entities, enhancing user interaction and service optimization [22] - Trend 8: Phased Implementation of L3 Autonomous Driving L3 autonomous driving will be introduced gradually under regulatory constraints, focusing on safety and responsibility alignment, with commercial applications expected to begin in 2024-2025 [25] - Trend 9: Redefining Interaction with Small Screens The shift from centralized large screens to distributed small screens in vehicle interfaces aims to enhance user experience and reduce cognitive load during driving [28] - Trend 10: Physical AI Driving Second Growth Curve Physical AI capabilities are evolving into transferable competencies, enabling automotive technologies to extend across various intelligent terminals, fostering ecosystem collaboration [30] Overall Industry Outlook - The trends indicate a systemic restructuring in the Chinese technology mobility industry, focusing on integrated systems engineering and collaborative efficiency, with a shift from isolated performance to comprehensive system capabilities [32][34] - The next phase of competition will favor organizations that can build replicable, scalable, and evolvable system capabilities, marking 2026 as a pivotal year for technological scaling and global competitive landscape reshaping [34]