Shanghai Aijian Securities·2025-09-11 12:36Investment Rating - The report maintains an "Outperform" rating for the automotive industry [1]. Core Insights - The current period until next year is expected to be a breakthrough window for the maturity of advanced driving technologies, policy regulations, user acceptance, and business models, emphasizing the importance of automotive intelligence [6]. - The transformation of the automotive industry is characterized by a shift from a single focus on electrification to a core emphasis on intelligence, making intelligent features essential for survival rather than just an added benefit [6]. - The competition landscape is expected to evolve from a fragmented market to a concentrated one, where leading companies with a strategic focus on intelligence and cost reduction will widen the gap with competitors [6]. - The automotive industry is projected to see rapid growth in intelligent vehicle sales from 2025 to 2030, with a significant increase in the penetration rate of electric vehicles [15][19]. Summary by Sections 1. Intelligent Automotive: Disruptive Innovation - The integration of AI, big data, and IoT will transform vehicles from traditional fuel-based transportation to AI-driven mobile terminals [15]. - The penetration rate of electric vehicles in the Chinese market is expected to rise from 10% to over 50% between 2020 and 2024, with projections of reaching 80% by 2030 [15]. 2. Upstream Components: Computing Power as a Foundation - The competition in the automotive parts industry is shifting from scale and cost to technology, architecture, and ecosystem integration [6]. - Companies that can develop complete system solutions and possess Tier 0.5 capabilities will dominate the automotive intelligence landscape [6]. 3. Midstream Vehicles: New Entrants Leading and Benefiting from Intelligence - Leading companies with self-developed large models and computing power will be the primary beneficiaries of automotive intelligence [6]. - The transition from electrification to intelligence is a critical change period, with AI large model technology driving industry development [6]. 4. Downstream Operations: New Business Models Accelerating Based on Advanced Driving - The maturity of advanced driving technologies will accelerate the commercialization of new business models like Robotaxi, which is expected to become a core infrastructure for urban mobility [6]. - The report anticipates that Robotaxi will shift from technical validation to scalable profitability within the next 1-2 years [6]. 5. Investment Highlights - The report suggests focusing on companies that are leading in advanced driving solutions and system-level solution providers, as they are likely to benefit from the commercialization of Robotaxi [6].