前瞻2026│L3级自动驾驶来了 车险会涨价吗？

Core Viewpoint - The introduction of L3 level autonomous driving in China is expected to significantly impact the auto insurance industry, but traditional car insurance will remain dominant for the foreseeable future, with a dual-track model of "traditional car insurance + intelligent driving insurance" emerging [1][2][3]. Group 1: Current State of Auto Insurance - Auto insurance is the most important type of property insurance, with cumulative premiums reaching 843.2 billion yuan in the first eleven months of 2025, accounting for 52.19% of total property insurance premiums [2]. - The current insurance model for both fuel and electric vehicles includes mandatory liability insurance, vehicle damage insurance, and additional coverage, while intelligent driving insurance (referred to as "智驾险") is an innovative supplement [2]. - Traditional auto insurance products are inadequate to cover the new risks associated with intelligent driving vehicles, leading to speculation about the potential replacement of auto insurance [2][3]. Group 2: Future of Auto Insurance with L3 - The dual-track model of insurance has been validated in pilot programs for L3 vehicles, with coverage for accidents occurring while the L3 function is activated, including new risks such as system defects and cybersecurity threats [4]. - The core logic of auto insurance is shifting from "covering driver negligence" to "covering system failure and ensuring safety for both the vehicle and its occupants" [4]. - As L3 technology matures, the responsibility for insurance may shift from vehicle owners to manufacturers, with some insurance products transforming into liability insurance [5]. Group 3: New Insurance Needs and Pricing - The expansion of L3 autonomous driving will create new insurance needs, including more precise pricing and risk control, as well as new insurance products like "system liability insurance" for manufacturers and "accident insurance" for users [7]. - The transition to L3 may lead to a decrease in overall insurance risk and costs if the technology proves effective in reducing traffic accidents [8]. - The insurance industry is exploring new methods to address the complexities of liability determination in L3 scenarios, with ongoing discussions about regulatory frameworks and industry standards [9][11]. Group 4: Challenges in Liability and Data Access - The lack of clear legal regulations regarding liability in L3 driving scenarios poses significant challenges, as the distinction between vehicle system responsibility and driver responsibility remains ambiguous [10]. - The reliance on data from manufacturers for accurate risk assessment complicates the pricing and development of insurance products, as insurers may struggle to access necessary data [10][11]. - Industry efforts are underway to create integrated solutions for accident liability determination, utilizing big data and blockchain technology to ensure data integrity and facilitate accurate assessments [11].