"过去我们只关心汽车制造，汽车离开工厂就进入使用环节，服务生态没有被更好地植入汽车全生命周 期价值而开发。"张永伟说，当前，智能化变革加速驱动汽车产业，由"单一制造竞争"迈向"汽车制造— 数字AI—服务业竞争"，已形成汽车产业竞争力"新三角"模型。 这一"新三角"模型，打破了传统汽车产业仅聚焦制造环节的单一维度，新增两大核心支撑：一是数字技 术与AI技术，它们对汽车未来发展产生根本性影响；二是汽车服务业成为待开发的"第二汽车产业"。 智能化不仅是汽车制造业的发展方向，也是汽车服务业的未来。"随着汽车产业迈入自动驾驶时代，服 务生态正在成为继汽车制造、数字与AI技术以外的汽车产业第三大竞争力。"车百会理事长张永伟在日 前举行的第一届自动驾驶出行生态论坛上表示，预计到2028年，我国汽车服务业将形成超8万亿元的市 场规模，成为待开发的"第二个汽车产业"。 汽车竞争力"新三角"崛起 "当服务业和AI技术、数字化技术深度融合，就会带来整个长链条的汽车服务体系的转型或者创新，传 统的养车、汽配、汽车金融、保险会更加具备数字化特征。"张永伟认为，尤其是汽车进入自动驾驶 时，需要一系列与自驾相适应的更加数字化的新型汽车服务 ...

Core Insights - The automotive industry's next competitive focus is shifting towards autonomous driving, driven by advancements in technology and the need for a comprehensive mobility ecosystem [1][2] - A complete ecosystem for autonomous driving includes collaboration across various sectors such as parking, charging, maintenance, and insurance [1][2] Industry Trends - Data indicates a significant increase in the adoption rate of advanced driver-assistance systems (ADAS) in China, with a notable transition from L2 to L3 conditional automation expected between 2025 and 2027 [2][3] - The automotive industry's competitiveness is evolving from traditional manufacturing capabilities to a new model that integrates automotive technology, digital and AI technologies, and automotive services [2] Ecosystem Development - The successful implementation of autonomous driving relies on the support of surrounding ecosystems, including parking, charging, and maintenance services [4] - Parking facilities are identified as critical for autonomous driving, necessitating a shift from human-centric to vehicle-centric designs to enhance operational efficiency [4] - Charging infrastructure must evolve to address current challenges, with a focus on automation and user experience improvements, such as seamless payment and automated charging processes [4] Service Innovations - The automotive service ecosystem is expected to undergo significant changes, including full automation of basic services, intelligent hardware upgrades, proactive service models, and personalized maintenance plans based on user data [5][6] - Collaboration among various stakeholders, including manufacturers, tech companies, and service providers, is essential for creating a seamless autonomous driving ecosystem [6]