Investment Recommendations - The current investment suggestion for the smart automotive sector is to maintain a strong outlook on the L4 RoboX theme for 2026, favoring B-end software over C-end hardware [2][6] - Preferred H-shares include Xpeng Motors, Horizon Robotics, Pony.ai, WeRide, Cao Cao Mobility, and Black Sesame Intelligence; A-shares include Qianli Technology, Desay SV, and Jingwei Hirain [2][6] Downstream Application Dimensions - Robotaxi perspective includes: 1. Integrated model: Tesla and Xpeng Motors 2. Technology providers + operational sharing model: Horizon, Baidu, Pony.ai, WeRide, and Qianli Technology 3. Transformation of ride-hailing/taxi services: Didi, Cao Cao Mobility, Ruqi Mobility, public transport, and Jinjiang Online [2][6] - Robovan perspective includes Desay SV and Jiushi Intelligent/New Stone Technology [2][6] - Other autonomous vehicle perspectives include mining trucks (e.g., HiDi Intelligent Driving), ports (e.g., Jingwei Hirain), sanitation vehicles (e.g., Yingfeng Environment), and buses (e.g., WeRide) [2][6] Upstream Supply Chain Dimensions - B-end autonomous vehicle OEMs include BAIC BluePark, GAC Group, Jiangling Motors, and Tongli Co. - Key upstream suppliers include: 1. Testing services (China Automotive Research and China Automotive Industry Corporation) 2. Chips (Horizon Robotics and Black Sesame Intelligence) 3. Domain controllers (Desay SV, Jingwei Hirain, Joyson Electronics, Huayang Group, and Coboda) 4. Sensors (Sunny Optical Technology, Hesai, and Suteng Juchuang) 5. Steer-by-wire chassis (Bertel and Nexperia) 6. Lighting (Xingyu Co.) 7. Glass (Fuyao Glass) [2][6] Mainstream Automakers' Autonomous Driving Strategies - A detailed comparison of major domestic automakers' autonomous driving strategies shows various approaches, including self-research and external supply partnerships, with notable collaborations with companies like Huawei, Momenta, and Horizon [4][5][20][21][30][32][39][40] - Chery's strategy includes a mixed model of multiple external algorithm suppliers and self-research platforms, with significant investments in partnerships [28][29] - Geely's integration of its autonomous driving team into Qianli Technology aims to streamline operations and enhance technological capabilities [20][22][23] BYD's Autonomous Driving Development - BYD's "Tianshen Eye" system has evolved to version 5.0, featuring advanced capabilities such as automatic emergency steering and braking, with a focus on enhancing user safety and efficiency [15][16] - The company emphasizes a dual approach of self-research and external collaboration, maintaining a significant investment in autonomous driving technology [10][14][47] Xiaomi's Strategic Investment in Autonomous Driving - Xiaomi has adopted a phased approach to its autonomous driving strategy, transitioning from strategic investments to full-scale self-research and development, with a significant increase in team size and R&D investment [47][48]

Investment Rating - The report maintains a positive outlook on the smart automotive sector, particularly emphasizing the L4 RoboX theme for 2026 [4] Core Insights - The report suggests a preference for B-end software companies over C-end hardware companies, recommending specific stocks in both H-shares and A-shares [4] - It highlights various downstream application perspectives, including Robotaxi and Robovan, and identifies key players and their business models [4] - The report also discusses upstream supply chain opportunities, including core suppliers and manufacturing partners [4] Summary by Sections Mainstream Automotive Companies' Smart Driving Technology Solutions - The report provides a comprehensive overview of the smart driving strategies of major automotive companies, detailing their partnerships and technology approaches [5][6][7][15][22][24][30][33] - Companies like BYD, Geely, Chery, and Great Wall are noted for their mixed strategies of self-research and external collaboration, with specific technology and supplier partnerships outlined [7][15][22][24][30][33] BYD's Smart Driving Strategy - BYD has shifted its smart driving approach from standard configuration to a pay-per-use model, emphasizing self-research while maintaining partnerships with algorithm companies [7][8] - The company has launched the "Tianshen Eye 5.0" system, which features advanced capabilities such as emergency steering and obstacle avoidance [12][13] Geely's Smart Driving Team Integration - Geely has completed the integration of its smart driving team under the "Qianli Zhijia" brand, focusing on enhancing its autonomous driving capabilities [15][17][19] - The company has established a structured approach to its smart driving solutions, offering multiple versions with varying hardware and software capabilities [19] Chery's Smart Driving Development - Chery has introduced the "Falcon Smart Driving" strategy, which includes multiple versions of its smart driving system, aiming for comprehensive coverage across various scenarios [22][23] - The company has also consolidated its smart driving R&D teams to enhance efficiency and innovation [22][23] Great Wall's Smart Driving Solutions - Great Wall has adopted a dual approach of self-research and external collaboration, with a focus on enhancing its computing power and algorithm capabilities [26][29] - The company has developed a tiered computing platform to support various levels of autonomous driving features [26][29] Changan's Smart Driving Framework - Changan has implemented a strategy that combines procurement from Huawei with its own smart driving research, aiming for a comprehensive autonomous driving solution [32][33] Other Companies' Strategies - The report also covers the smart driving strategies of other companies such as SAIC, GAC, and Leap Motor, highlighting their partnerships and technological advancements [33][36][38]

Investment Rating - The report suggests to pay attention to the industry and its developments [4] Core Insights - The high-level intelligent driving technology is becoming more accessible by 2025, with an upward trend in the industry chain's prosperity driven by mature supply-side technologies and demand-side strategies [3][9] - The new paradigm of computing power in vehicles includes DSA heterogeneous integration, cockpit fusion, and RISC-V architecture, which enhances algorithm optimization and cost efficiency [3][10][17] - Domestic alternatives are emerging with quality supply, and there is potential for technology to go abroad, especially in the mid-to-high-end NOA segment [3][24][26] - The trend of integrated hardware and software is leading to competitive intersections among various players, with traditional manufacturers and new forces both investing in self-research and collaboration [3][27] - The economic analysis of self-research in intelligent driving indicates an annual cost of approximately 2 billion RMB, with significant investments in SoC and algorithms [3][28] Summary by Sections 1. New Paradigm of Computing Power - The supply side is seeing advancements in intelligent driving hardware and software, with improved cost-performance ratios [3][9] - The demand side is influenced by traditional manufacturers promoting lower price points for intelligent driving features [3][9] - The architecture is evolving towards a more integrated approach, moving from multi-box systems to single-chip solutions [3][14] 2. Domestic Alternatives and Technology Export - The domestic market is seeing a growing presence of local suppliers in the mid-to-high-end NOA segment, with companies like Horizon Robotics and Black Sesame emerging as key players [3][26] - The low-end segment remains dominated by foreign companies, but domestic technologies are expected to expand internationally [3][26] 3. Competitive Landscape and Self-Research - Leading companies are enhancing their capabilities by integrating computing power, toolchains, and algorithms [3][28] - The competition is intensifying as companies like Huawei and Tesla are investing heavily in self-research and development of their own chips and algorithms [3][27] - The report highlights the importance of a comprehensive approach to self-research, with significant financial commitments required to maintain competitiveness [3][28] 4. Company Analysis - Companies like NVIDIA and Huawei are leading in hardware performance and ecosystem development, while also seeking to strengthen their algorithm capabilities [3][32][39] - Horizon Robotics is positioned as a leader in providing integrated intelligent driving solutions, with a focus on software and service revenue [3][51]