Core Insights - The Chinese automotive industry is focusing on breakthroughs in "AI + automotive" technology to build core competitiveness [1] - The industry is transitioning from the "perception" era, reliant on hardware sensors, to the "cognition" era, centered on AI algorithms and data [1] - Future vehicles are expected to evolve into smarter mobility tools capable of intelligent assisted driving, progressing towards autonomous driving [1] Industry Trends - The automotive industry is entering the intelligent phase, with significant growth opportunities for suppliers of intelligent components, chip manufacturers, and full-stack autonomous driving solution providers [1] - Key product areas include automotive sensors, intelligent chassis, AI chips, and autonomous driving technologies [1] Regulatory Developments - A new regulatory phase for intelligent driving is emerging, with public concern focused on legal issues surrounding traffic accident responsibility [2] - 35.84% of respondents expect a comprehensive regulatory framework to clarify accident responsibility boundaries [2] - The establishment of a data security protection system is seen as a safety barrier for the development of autonomous driving technology [2] Challenges in Autonomous Driving - The commercialization of autonomous driving faces three core challenges: handling extreme and complex "edge cases," the cost and profitability of large-scale commercialization, and legislative and societal acceptance issues [2] - Addressing these challenges requires breakthroughs in perception-decision AI technology, exploration of sustainable business models, and positive interaction between regulations and social consensus [2]
毕马威中国：中国汽车产业进入智能化下半场 从“感知”迈向“认知”
Zheng Quan Shi Bao Wang·2025-10-15 10:57