《中国智能驾驶行业趋势白皮书（2025）》认为，能够穿越 周期的幸存者，并非最早出发的，也非口号最响亮的，而是无 一例外地在技术理想与商业现实间找到了那条狭窄的平衡带， 它们普遍具备五大特征。 封图：图片资料室 曾经，智能驾驶的故事由资本狂热书写，L4的技术梦想吸引无数玩家涌入赛道。但当行业从浪漫 期行至商业化攻坚期，活下去成为所有参与者面对的最大难题。 2025年，累计交付超20万套城区NOA辅助驾驶系统的元戎启行，以一份逼近40%的月度市场份 额成绩单，揭示出行业现阶段真正的生存法则：数据是未来燃料，装车量即话语权。 从高举高打的技术公司，到深度绑定长城、吉利等主流车企的规模化供应商，元戎启行的蜕变之 路，是智能驾驶行业从技术竞赛转向数据竞争、从实验室 Demo 走向规模化交付的一个缩影。 根据《 中国智能驾驶行业趋势白皮书（2025） 》，并以元戎启行为例，外界能够看到当下行业 竞争的本质：如何在技术、数据、商业与生态之间找到平衡，成为穿越周期的最终幸存者。 活下去，需要多少车？ 2019年后，智能驾驶行业的共识逐渐被重塑。资本不再为遥远的L4故事买单，投资人只问两个问 题：你拿到了多少量产订单？你的收 ...

Core Insights - The smart driving industry is transitioning from a romantic phase focused on L4 technology to a commercial phase where survival is the primary challenge for participants [2][3] - Data is identified as the future fuel of the industry, with vehicle delivery volume equating to market influence and competitive advantage [3][4] Industry Trends - The consensus in the smart driving industry has shifted post-2019, with investors focusing on production orders and revenue sources rather than distant L4 aspirations [3] - The penetration rate of urban NOA (Navigation Assisted Driving) systems is expected to exceed 10% by the end of 2025, marking a critical point for scaling [3][4] Company Strategy - Yuanrong Qixing has achieved a nearly 40% market share in the urban NOA supplier market as of October 2025, with a cumulative delivery of over 200,000 systems [3][4] - The company employs a "car sea strategy," partnering with mainstream brands like Great Wall and Geely to ensure widespread adoption rather than focusing solely on luxury brands [3][4] Data and Technology - Accumulating large-scale data through mass-produced vehicles is essential for the evolution of smart driving algorithms, as more vehicles generate richer scenario data [4][5] - The industry is entering an "AI model-driven phase," where the ability to create a data feedback loop is more critical than the algorithms themselves [6][7] Competitive Landscape - The competition has evolved into a comprehensive battle between third-party suppliers and in-house development by automakers, focusing on technology, production, cost, and data capabilities [8][9] - Leading players like Yuanrong Qixing, Huawei, and Momenta are forming a triad in the market, with vehicle delivery volume being a key differentiator [8][9] Business Model Evolution - The industry is moving from a one-time hardware sales model to a subscription-based software and service model, which requires a substantial user base to be sustainable [10][11] - Yuanrong Qixing's strategy emphasizes the importance of achieving a critical mass of vehicle deliveries to support a subscription model and reduce costs [10][11] Characteristics of Survivors - Successful companies in the smart driving sector are characterized by their ability to create a closed-loop data flow and iterative capabilities [13][14] - A strong alignment between technology choices and business paths is crucial for market validation and operational success [14][15] - Companies must demonstrate healthy cash flow or a clear path to profitability, with vehicle delivery volume being essential for cost distribution and subscription service viability [15][16] - Finding a unique ecological niche within the industry is vital for survival, allowing companies to collaborate effectively with major automakers [16] - The ability to deliver products at scale is critical, as demonstrated by Yuanrong Qixing's successful mass delivery of urban NOA systems [16]