White paper: China's autonomous taxi market is already a global leader

Recently, Ruqi Travel and Roland Berger, the world's top consulting company, released a white paper titled "Robotaxi commercialization Prospects". According to the white paper, China's autonomous taxi (Robotaxi) market has been in a leading position in the world. First-tier cities such as Beijing, Shanghai, Guangzhou and Shenzhen have taken the lead in the commercial exploration of Robotaxi. While developing rapidly, a variety of business models have emerged as the core scenarios for the implementation of autonomous driving technology.

At the same time, the white paper believes that Robotaxi's features of unmanned and intelligent are bound to bring great changes to the way of travel by upgrading the overall experience of ride-sharing services, which will push the industry towards the trillion-scale.

The white paper aims to identify the core connotation of the commercialization of Robotaxi, and define the mode characteristics, capability factors and key tasks in different development stages of commercialization. At the same time, combining with the evolution of the Chinese development path in ecological building and landing mode, this paper puts forward opinions and clarifies the landing significance of operation and technology spiraling to promote the commercialization, hoping to provide path judgment and insight thinking for the commercialization of Robotaxi.

"China's automotive industry has entered a period of high-quality and stable development, driven further by transformative technologies and mobility ecology," said Zheng Yun, Global Senior Partner and head of Roland Berger Automotive Industry Center. With the active promotion of the whole industry, autonomous driving solutions are gradually becoming mature, pushing the implementation of various application scenarios."

Wu Zhao, global partner of Roland Berger, said, "Although the global autonomous driving industry is cold, the commercialization of Robotaxi in China continues to advance. Benefiting from the joint support of different factors such as policy guidance, travel integration, consumption experience and operation supervision, Robotaxi in the accelerated commercialization will further stimulate the innovation imagination space of China's shared travel and intelligent network industry. "Although the vision is promising, Robotaxi still faces many challenges to commercialize its incremental development."

Jiang Hua, CEO of Ruqi Chuxing, said that the commercialization of Robotaxi needs all parties to work together. Ruqi Chuxing has fully opened the Robotaxi operating technology platform and has completed the system data docking with a number of autonomous driving companies. Ruqi Chuxing also takes the lead in launching a hybrid Robotaxi operation in the Guangdong-Hong Kong-Macao Greater Bay Area to meet users' real travel needs, and lands in Ruqi and Ruqi stations successively, making a forward-looking layout for the commercialization of Robotaxi from the perspective of operation scenarios and service capabilities.

According to the white paper, China's Robotaxi market has taken a leading position in the world. First-tier cities such as Beijing, Shanghai, Guangzhou and Shenzhen have taken the lead in the commercial exploration of Robotaxi. With the continuous rapid development, a variety of business models have emerged. Prominent among them are the "Golden Triangle model" represented by "GAC - Ruqi - Pony Zhixing/Wenyuan Momenta" and "SAIC-Xiangdao-Momenta". Under this mode, the OEMS, automatic driving technology companies and travel service operators play a synergic role. The Oems have strong hardware strength and provide strong support for the large-scale landing of Robotaxi, while the autonomous driving technology companies provide technology and solutions. The travel platform collects more scene data by virtue of its mature travel service experience and massive operation scenarios and data. Accelerate technical verification and iteration to speed up the commercial landing of Robotaxi operation.