Intelligence is not only the development direction of the automotive manufacturing industry, but also the future of the automotive service industry. As the automotive industry enters the era of autonomous driving, the service ecosystem is becoming the third major competitiveness of the automotive industry, following automotive manufacturing, digital and AI technology. ”Zhang Yongwei, Chairman of the China Association of Automobile Manufacturers, stated at the first Autonomous Driving Ecological Forum that it is expected that by 2028, China's automotive service industry will form a market size of over 8 trillion yuan, becoming the "second automotive industry" to be developed. The rise of the "new triangle" of automobile competitiveness: In the past, we only cared about automobile manufacturing, and cars entered the usage stage after leaving the factory. The service ecosystem was not better developed by embedding the full lifecycle value of automobiles. ”Zhang Yongwei said that currently, the acceleration of intelligent transformation is driving the automotive industry, shifting from "single manufacturing competition" to "automotive manufacturing digital AI service industry competition", and forming a "new triangle" model of automotive industry competitiveness. This "new triangle" model breaks the traditional automobile industry's single dimension of focusing only on the manufacturing process, and adds two new core supports: one is digital technology and AI technology, which have a fundamental impact on the future development of automobiles; The second is that the automotive service industry has become the "second automotive industry" to be developed. When the service industry deeply integrates with AI technology and digital technology, it will bring about the transformation or innovation of the entire long chain of automotive service system, and traditional car maintenance, auto parts, automotive finance, and insurance will have more digital characteristics. ”Zhang Yongwei believes that, especially when cars enter autonomous driving, a series of more digital new automotive service formats that are compatible with autonomous driving are needed to match it. In Zhang Yongwei's view, promoting the coordinated development of automotive intelligence and service intelligence is an important and unique path to building a Chinese characteristic automotive industry. Strengthening the 'New Triangle', China's automotive industry will occupy an irreplaceable position in the global competitive landscape. The world is accelerating the commercialization of autonomous driving industry, and China is also orderly promoting the commercialization of autonomous driving in multiple cities. It is expected to achieve large-scale commercialization of high-speed L3 by 2026, L4 in urban areas by 2027, and unmanned mainline logistics by 2028. ”Li Wenguang, President of Yinwang Intelligent Driving Product Line, stated that the implementation of autonomous driving will reshape the travel ecosystem and bring new industrial value. For example, after cars transform from a means of transportation to a new space for mobile travel, cross industry integration can be achieved in car washing, charging, and parking services. The recently released "Autonomous Driving Travel Ecology 2025" report states that a series of services centered around car life, such as parking, charging, maintenance, insurance, ordering, shopping, and delivery, constitute a large and discrete "after car service" ecosystem. Before the intelligentization of automobiles, all services required human operation. When automobiles gained the ability to perceive, make decisions, and execute autonomously, they transformed from passive transportation vehicles to intelligent mobile agents capable of autonomous planning and active interaction. This fundamental change has opened a door to a new world for the industry, and it is urgent to build a highly automated, intelligent and collaborative new service ecosystem around autonomous vehicle. The large-scale implementation of autonomous driving in the transportation ecosystem cannot be achieved without scenario driven integration. The parking lot is the "first stop" of autonomous driving, with enclosed spaces and clear rules, making it an ideal scenario for the landing of autonomous driving technology. To achieve the implementation of autonomous driving in parking lots, the design concept and functional structure of the entire parking lot need to be redefined, "said Sun Longxi, President of Koto Corporation. ”Li Hongqing, CEO of Wanbang Digital Energy, pointed out that the arrival of the autonomous driving era will face new problems: the traditional charging ecosystem is designed around the convenience of human operation, and in the future, it will need to provide support for the autonomous operation of "cars". Therefore, the implementation of automatic charging must integrate the entire process of automatic parking, automatic gun insertion, plug and play charging, contactless payment, and automatic departure, achieving a leap from manual to automatic system and solving the "last mile" problem. It is reported that Wanbang Digital Energy has partnered with major automakers such as BMW to implement side charging systems. He also stated that in the future, the charging ecosystem needs to establish unified technical standards and protocol specifications, promote the deep integration of "automatic charging+energy management", make autonomous vehicles become mobile energy storage units, and achieve dynamic balance between vehicles and energy networks. The traditional car wash service takes an average of 50 to 70 minutes, of which over 60% is waiting and travel time. Users have anxiety about washing and using the car, and they hope to achieve a 'sensory free car maintenance'. ”Hu Xiaodong, co-founder, president, and executive director of TuHu Car Care, told reporters that in order to solve this pain point, TuHu Car Care is deeply cooperating with Huawei to explore a new model of "autonomous driving+intelligent car care": autonomous vehicles can be ordered through a mobile app, and the cloud intelligently matches its service stores. The vehicle will automatically leave the parking space and arrive at the designated store at the set time. The store will pick up the vehicle through an authorization system, complete the cleaning, and then the vehicle will automatically drive back to the original parking space without wasting the owner's time. He stated that automotive aftermarket services are no longer passive maintenance and repair, but rather revolve around full cycle management of data, algorithms, and user experience. In the future, automotive services will present full process automation, hardware intelligence, service pre positioning, and experience customization. Collaborative construction and improvement of service system "requires more cross-border collaboration for the ecological construction of autonomous driving travel. ”Cen Yan, a director level researcher at the Shenzhen Construction Technology Promotion Center, introduced that currently, Shenzhen is vigorously developing smart cities and open-source HarmonyOS ecosystems. In his view, the collaboration between vehicles, roads, and cities is the trend for the future development of intelligent automobiles, road networking, and urban intelligence in Shenzhen. It should be promoted from three aspects: first, to build a unified digital base covering building, road, and traffic facilities, establish standards for vehicle building data interaction, and enable vehicles and buildings to speak the same language, achieving seamless integration between smart buildings and vehicle systems. Secondly, driven by scenarios, we will focus on areas such as parking and energy synergy, light storage flexibility and V2G, and create comprehensive pilot projects to achieve seamless integration between intelligent navigation and logistics distribution. The third is to innovate mechanisms and ecology. It is suggested that departments such as transportation and housing jointly include vehicle building collaboration in the pilot of smart buildings, establish a special mechanism to support joint innovation by car companies, charging operators, power grids, and building operators, and cultivate an open industrial ecology. Ni Hong, Deputy General Manager of the Personal Non Vehicle Insurance Department of PICC, said, "Currently, the new energy vehicle insurance market is showing a trend of high growth, optimal structure, and profitability. In the first half of 2025, the premium income of commercial new energy vehicle insurance increased by 41.44% year-on-year, and the claim growth rate was 33%. On the one hand, this is due to the refined risk control of insurance companies in new energy vehicle claims; on the other hand, the improvement of drivers' safe driving habits also plays a positive role in risk reduction." However, the new energy vehicle insurance market still faces significant challenges at present. The report "Autonomous Driving Travel Ecology 2025" shows that although top insurance companies have achieved underwriting profits in the field of new energy vehicle insurance, the industry as a whole is still in a loss making state, and industry-specific profits have not yet been popularized. At the same time, some car owners still feel that the insurance premiums for new energy vehicles are expensive. Ni Hong stated that the future autonomous driving insurance system will exhibit multi-level development characteristics: the responsibility subject will shift from being centered on the driver to being shared by the driver, car companies, and software and hardware suppliers; The focus of protection has shifted from traditional "guarantors" to a combination of "guarantors and insurance systems"; The product form has evolved from standardized commercial car insurance to a comprehensive insurance for autonomous driving that combines car insurance and non car insurance. In addition, in terms of pricing logic, future car insurance will shift from traditional models based on historical driving data to dynamic pricing mechanisms that integrate system performance and real-time behavior. The core of competition in the era of autonomous driving lies in prioritizing ecology and services, and then driving the prosperity of scenarios and technological progress. ”Han Zhenwei, general manager of Alipay Digital Car Life Business Department, believes that only ecological integration can drive scene innovation and technological progress in the era of automatic driving. Du Shangjun, Vice President of Shanshou, stated that as new energy vehicles accelerate towards intelligent development, the pain points of car owners are constantly changing. In the process of autonomous driving entering the unmanned scene, there is still a need for humanized service guarantee experience. Experts say that with the integration of policies, technologies, services, and scenarios, cross disciplinary collaborative construction and improvement of service systems, autonomous driving will accelerate from "technological experimentation" to "large-scale implementation", injecting new momentum into the development of smart transportation and digital economy. (New Society)