Investment Highlights - The main contradiction in C-end automotive intelligence has shifted from coverage to experience optimization in 2026. Major intelligent driving manufacturers and solution providers have achieved urban NOA (Navigation on Autopilot) experiences in complex scenarios such as roundabouts and U-turns, and have improved advanced functions like parking and ETC passage. The primary optimization direction moving forward will be the handling capability of Corner Cases to enhance the driving experience for passengers and safety operators [2][7]. Road Testing Overview - This report conducted both large-sample concentrated road tests and small-sample in-depth road tests. It qualitatively and quantitatively evaluated the intelligent driving experiences of six manufacturers/solution providers: Horizon, Li Auto, Qianli Zhijia, Qingzhou Zhihang, WeRide, and Xpeng, based on dimensions such as scenario implementation, takeover frequency, and comfort. Due to subjective scales, actual road conditions, and the trust level of safety operators in intelligent driving, the report does not rank the intelligent capabilities of specific manufacturers/solution providers [3][7]. Performance Improvement - Compared to 2025, all major manufacturers have improved their intelligent driving capabilities in Q1 2026, while third-party suppliers have also demonstrated excellent implementation results. The self-research camp of manufacturers is expected to continue iterating. Li Auto and Xpeng have developed mature self-research solutions that cover full-scene NOA on public roads and some internal roads, showing improvements in static and dynamic lateral perception, scenario understanding, and Corner Case handling. Li Auto's OTA 8.2 iteration has made AD Max smoother, reducing driving jolts and stabilizing responses. Xpeng's XOS 5.8.5 version can achieve three-point U-turns and autonomously learn from parking to parking, with VLA 2.0 expected to launch after the Spring Festival, enhancing reasoning efficiency and response speed [4][7]. Third-Party Supplier Performance - Third-party intelligent driving suppliers have shown impressive results. Their solutions have been launched to cover all external public roads seamlessly, with roundabouts and U-turns executed without interruptions. Horizon's HSD demonstrated smooth performance, achieving a full hour of deep road testing with zero takeovers (with one intervention for acceleration). Qianli Zhijia's G-ASD solution on the Zeekr model significantly reduced takeover rates. Qingzhou Zhihang utilized a single J6M chip (with 128 TOPS computing power) to achieve mass production of urban NOA, which is the lowest computing power among urban NOA models. WeRide's solution won the championship at the China Intelligent Driving Competition in Taizhou, showcasing excellent lane selection logic with no safety takeovers [4][7].

Investment Rating - The industry investment rating is "Overweight," indicating an expected outperformance of the industry index relative to the benchmark by more than 5% over the next six months [71]. Core Insights - The main contradiction in C-end automotive intelligence has shifted from coverage to experience optimization, with major intelligent driving manufacturers achieving urban NOA experiences in complex scenarios such as roundabouts and U-turns, and enhancing advanced features like parking and ETC passage. Future optimization will focus on handling corner cases to improve the driving experience for passengers and safety personnel [2][66]. - Compared to 2025, all major manufacturers have improved their intelligent driving capabilities in Q1 2026, with third-party suppliers also showing excellent implementation results [2][66]. - The report evaluates the intelligent driving experiences of six manufacturers, including Horizon, Ideal, Qianli Zhijia, Lightyear, WeRide, and Xiaopeng, through both large-sample and small-sample road tests, focusing on scene implementation, takeover frequency, and comfort [2][66]. Summary by Sections Road Test Overview - The report includes two types of road tests: large-sample centralized road tests and small-sample deep road tests, each with distinct advantages and limitations [6][7]. - The large-sample test involved over 30 participants and standardized routes, while the small-sample test used consistent evaluators and longer durations for a more in-depth experience [7][8]. Intelligent Driving Models Tested - The models tested in February 2026 included: - Xingtou ET5 - Ideal i6 - Geely 9X - Ideal L6 Pro - Xingtou Star Era ES - Xiaopeng X9 [8][10]. Performance Metrics - Key performance metrics evaluated include overall evaluation, takeover frequency, stability performance, and efficiency in various driving scenarios such as roundabouts and U-turns [23][41]. - The report provides detailed performance scores for each model, indicating their ability to handle complex driving situations and overall driving smoothness [41][46][50][56][61][62]. Manufacturer Insights - Horizon's HSD achieved an average score of 4.55 with a total takeover frequency of 0.16, demonstrating excellent handling of road test scenarios [41]. - Ideal's AD Max scored 3.51 with an average takeover frequency of 1.86, showcasing strong performance in stability and handling [46]. - Qianli's G-ASD scored 3.05 with a takeover frequency of 2.60, indicating good performance in complex scenarios [50]. - Lightyear's AD Pro scored 2.89 with a takeover frequency of 2.75, performing well in roundabout scenarios [56]. - WeRide's E2E scored 3.84 with a low takeover frequency of 0.70, indicating strong performance in efficiency [61]. - Xiaopeng's XNGP scored 3.64 with a takeover frequency of 1.20, showing good stability and efficiency [62].

Core Insights - The core focus of the articles revolves around the commercialization and strategic implications of L3 and L4 autonomous driving technologies in the automotive industry, highlighting the ongoing debate about the necessity and feasibility of L3 as a transitional phase towards full autonomy [1][2][3]. Group 1: Industry Trends and Developments - The penetration rate of L2 level assisted driving in China reached 64% with a year-on-year sales growth of 21.2% for new passenger cars equipped with such features in the first three quarters of 2025 [2]. - The Ministry of Industry and Information Technology (MIIT) of China issued the first batch of L3 conditional autonomous driving vehicle licenses in December 2025, sparking intense discussions about the commercial prospects of L3 technology [1][2]. - Companies like Xiaomi, XPeng, and GAC are actively pursuing L3 testing licenses, indicating a competitive race among automakers to establish their presence in the L3 segment [2]. Group 2: Strategic Perspectives - XPeng's CEO expressed that L3 is merely a transitional phase, suggesting that the industry may leap directly from L2 to L4, bypassing L3 altogether [3]. - The distinction between L3 and L4 is primarily based on the responsibility of the driver versus the vehicle, with L3 requiring the driver to take control under certain conditions, while L4 allows for full autonomy [3][5]. - The current regulatory standards for L3 certification are perceived as exceeding traditional definitions, necessitating that companies achieve near-L4 capabilities to obtain L3 licenses [5]. Group 3: Commercialization Challenges - The initial commercial value of L3 is challenged by restrictive operational scenarios, such as the limited use of the BAIC Arcfox Alpha S (L3 version) to specific road types and a maximum speed of 80 km/h, which may not attract average consumers [6]. - The integration of L2++ capabilities is seen as a prerequisite for achieving L4, indicating that the path to full autonomy may involve a gradual accumulation of data and experience in various driving scenarios [7]. - The automotive industry is experiencing rapid growth, with significant sales of vehicles equipped with advanced driving assistance features, which is fueling competition and innovation in the autonomous driving space [8].

Core Insights - The smart driving industry is moving towards standardization and cost reduction, with the goal of making smart driving features accessible in lower-priced vehicles by 2025 [2] - The concept of "smart driving for all" emphasizes the need for safety and comfort in vehicles used by the general public, not just luxury cars [3] Group 1: Company Achievements - In 2026, the company achieved a significant milestone with over 1 million units of assisted driving systems deployed, marking a crucial threshold for smart driving suppliers [3] - The company plans to launch over 50 new vehicle models equipped with its upgraded smart driving solution, "Qingzhou Chengfeng 2.0," in 2026 [3][8] - The new product matrix includes three tiers: Chengfeng AIR, Chengfeng PRO, and Chengfeng MAX, with computing power ranging from 80 TOPS to over 500 TOPS [3][4] Group 2: Technological Innovations - The Chengfeng MAX solution, which features over 500 TOPS of computing power, is set to be deployed by the end of 2026 [4] - The company has successfully implemented city NOA (Navigation on Autopilot) using a single Horizon J6M chip, which has a computing power of 128 TOPS [4][5] - The company emphasizes that it can achieve reliable city NOA with lower-cost components, challenging the traditional "impossible triangle" of cost versus experience in the autonomous driving industry [5][7] Group 3: Market Position and Future Plans - As of January 2026, the company has partnered with nearly 10 automakers, with 23 models in production, and expects to exceed 50 models equipped with city NOA features in the same year [7][8] - The company aims to make smart driving technology available not only for electric vehicles but also for traditional fuel vehicles, despite the challenges involved [7]

Core Insights - The article discusses the significant reshuffling in the Chinese advanced driving assistance market, particularly focusing on urban NOA (Navigation on Autopilot) as it approaches a critical penetration rate of over 10% by 2025, with expectations to reach 22% by 2026, leading to a market scale targeting millions of units [6][14]. Group 1: Market Dynamics - A number of players, including Maimo Zhixing and Dazhuo Intelligent, have exited the market, while Huawei, Yuanrong Qixing, and Momenta have emerged as the dominant trio, collectively holding 99% of the urban NOA market share from January to October 2025 [2][8]. - In October 2025, Yuanrong Qixing achieved the highest urban NOA installation rate, with a significant growth rate of 2.7 times compared to the average monthly installation from January to October 2025 [8][10]. Group 2: Competitive Strategies - The three leading companies have adopted different market strategies: Huawei focuses on high-end models, Momenta has a broad brand coverage, and Yuanrong Qixing targets mass-market models for data accumulation [9][10]. - Yuanrong Qixing's strategy emphasizes deep collaboration with a few key models to create "explosive" sales, resulting in significant sales increases for models like the Blue Mountain and Galaxy M9 [9][10]. Group 3: Future Projections - The competition is expected to intensify as the industry moves towards "million-unit production," with a projected annual output of 5 million high-level autonomous vehicles by 2026 [14][15]. - The article highlights the importance of data efficiency and closed-loop systems as critical competitive advantages in the evolving landscape of intelligent driving [14][15]. Group 4: Investment Trends - The investment landscape for autonomous driving has seen a significant rebound in 2025, with nearly 60 billion yuan raised, indicating a strong focus on leading and commercially viable projects [14][15].

Core Insights - The implementation of a 128 TOPS chip for city NOA (Navigate On Autopilot) has been successfully launched, challenging the previous consensus that a minimum of 200 TOPS was required for such technology, indicating a shift towards mainstream adoption in the market [1] - A report by the China Automotive Industry Economic and Technological Research Institute forecasts that by November 2025, the cumulative sales of passenger cars equipped with city NOA will reach 3.129 million units, with a penetration rate of 15.1%, an increase of 5.6 percentage points from 2024 [1] - The trend shows that city NOA is moving from high-end vehicles to mainstream passenger cars, with over 68.9% of city NOA-equipped vehicles priced below 300,000 yuan [1] Market Penetration - In 2024, the penetration rate of NOA in the domestic automotive market is projected to be 7.3%, with city NOA at 1.52%, indicating a significant increase in adoption within a year [3] - By November 2025, 15 out of every 100 passenger vehicles are expected to be equipped with city NOA, marking a rapid scale-up in its market presence [3] Competitive Landscape - The focus of the industry has shifted from highway NOA to city NOA, with the latter being more complex to implement [4] - Over 78.3% of city NOA-equipped vehicles sold by November 2025 are expected to be self-developed by automakers, indicating a strong market position for companies that invest in in-house technology [4] Key Players - Notable brands in the self-developed city NOA segment include Tesla, NIO, Xpeng, Li Auto, and Xiaomi, each leveraging their unique technological capabilities to enhance their offerings [5] - Approximately 21.7% of city NOA-equipped vehicles are developed in collaboration with third-party suppliers, with traditional automotive brands making up 64.4% of these partnerships [5] Supplier Dynamics - The market for third-party city NOA suppliers is dominated by Momenta and Huawei, which together account for about 80% of the market share [6] - By November 2025, Momenta is expected to have a leading position with 414,400 units, while Huawei's HI model will account for approximately 19.76% of the third-party supplier market [6] Future Outlook - The upcoming mandatory national standard for intelligent connected vehicles is expected to set a clear safety baseline and further promote the marketization of related technologies [7] - The integration of end-to-end large models is seen as a key driver for the acceleration of city NOA, enhancing safety and user experience [8] - By 2030, city NOA is projected to become a mainstream feature in advanced driver assistance and autonomous driving systems, with significant market penetration expected in the 150,000 to 200,000 yuan price range [6][9]

Core Insights - The report titled "2025 Urban NOA Automotive Assisted Driving Research Report" was officially released at the China Automotive Industry Association's information conference, aiming to analyze the development trends of urban NOA technology and industry, providing references for high-quality development of China's intelligent connected vehicle industry [1] Group 1: Market Growth and Trends - By the end of 2025, it is projected that over 3 million urban NOA-equipped vehicles will be sold in China, with a penetration rate of 15.1% for urban NOA features in passenger vehicles from January to November 2025, an increase of 5.6 percentage points compared to the entire year of 2024 [3][4] - The sales of new passenger cars with Level 2 driving assistance functions increased by 21.2% year-on-year in the first three quarters of 2025, with a penetration rate reaching 64%, expected to rise to 66.1% by the end of 2025 [3] Group 2: Competitive Landscape - Domestic brands accounted for 81.1% of urban NOA-equipped vehicle sales from January to November 2025, showcasing their innovation and competitiveness in the intelligent connected vehicle sector [4] - Major global automotive brands are collaborating with leading domestic third-party suppliers to achieve breakthroughs in intelligent driving, with companies like Mercedes-Benz, BMW, Audi, and Toyota implementing urban NOA features [4][6] Group 3: Technology and Innovation - The current market for third-party urban NOA suppliers is dominated by Momenta and Huawei, which together hold approximately 80% of the market share, with Momenta leading at 61.06% and Huawei at 19.76% [6] - The report highlights that the end-to-end large model has become the core engine for NOA technology iteration, driving a shift from modular architecture to integrated deep restructuring [7][8] Group 4: Future Outlook and Recommendations - The report anticipates that by 2030, urban NOA will become a mainstream feature in assisted and autonomous driving, with significant value creation expected in the automotive industry [11] - Recommendations for enhancing the urban NOA industry ecosystem include improving top-level design, strengthening technological innovation, and exploring collaborative development models among various technological routes [11]

Core Insights - The popularization of intelligent driving in China is entering a critical phase in 2025, transitioning from "production accumulation" to a "scale explosion" cycle [1] - The penetration rate of urban NOA (Navigation on Autopilot) hardware in domestic passenger cars has reached 2.392 million units in the first ten months of 2025, marking a year-on-year increase of 62.8% [1] - Third-party intelligent driving suppliers like Momenta and Huawei are gaining market leadership and global recognition, enhancing the competitiveness of China's intelligent driving supply chain [1] Market Share Analysis - From January to October 2025, Momenta and Huawei's HI model together captured over 80% of the urban NOA third-party intelligent driving supplier market, with Momenta holding a market share of 60.2% and Huawei at 20.6% [3] - Leading suppliers have achieved rapid technological iteration and efficient replication across models and brands due to early production layouts and scalable engineering capabilities [3] Trends in Adoption - The acceleration of urban NOA penetration in 2025 is driven by three factors: technological maturity, increased supply, and awakened demand [5] - Domestic brands like BYD, Geely, and Chery are key drivers of this penetration, implementing a "main model standard configuration" strategy to bring advanced driving features to lower-priced vehicles [5] - Global brands such as Toyota, Nissan, and Mercedes-Benz are collaborating with top Chinese intelligent driving suppliers to enhance their smart transformation, indicating the global recognition of China's intelligent driving solutions [5] Competitive Focus - The competition in urban NOA has shifted from "whether features are available" to "experience is king," with a focus on providing a safe and reassuring high-level driving experience [5] - Momenta is leveraging "reinforcement learning + end-to-end architecture" combined with production data to enhance the driving experience, with its R6 model being the first to achieve mass production based on reinforcement learning [5][6] Strategic Positioning - 2025 is a pivotal year for urban NOA in China, marking the transition from "usable" to "user-friendly" and from niche markets to widespread adoption [6] - Leading suppliers like Momenta and Huawei are not only enhancing domestic market experiences but also actively participating in the global restructuring of the intelligent driving supply chain, providing a "Chinese solution" for the global automotive industry's smart transformation [6]

Core Insights - The Chinese passenger car market is experiencing unprecedented vitality and resilience due to various transformative forces, with a focus on the industry's ability to identify and solve problems [1][2]. Group 1: New Energy Vehicle Market - The penetration rate of new energy vehicles (NEVs) in China reached 53.6% in the first 11 months of 2025, indicating a shift from policy-driven to market-driven growth [4]. - The number of new car models launched in 2025 exceeded 200, showcasing the industry's strength and providing diverse options for consumers [5]. - Major NEV manufacturers have established comprehensive product platforms, enabling rapid iteration and performance enhancement across various models [6]. Group 2: Technological Advancements - Significant advancements in foundational technologies, such as intelligent chassis systems, are enhancing the overall level of the NEV industry [7]. - The performance of pure electric vehicles has improved, with extended driving ranges and enhanced safety features, addressing consumer concerns [8]. - Range-extended vehicles have also seen performance improvements, with some models achieving over 1000 kilometers of range [9]. Group 3: Autonomous Driving and AI Integration - The first batch of Level 3 conditional autonomous driving vehicle licenses was issued, marking a new phase in the commercialization of autonomous driving in China [10]. - AI technology is being integrated into smart cockpit systems, enhancing user interaction and experience [11]. - The automotive industry is witnessing a shift towards cognitive intelligence, allowing vehicles to understand and respond to complex commands [23]. Group 4: Domestic Brand Performance - Domestic brands captured a market share of 69.6% in the first 11 months of 2025, reflecting their growing competitiveness [13]. - High-end NEV sales have been dominated by domestic brands, indicating their increasing strength in the premium segment [14]. - Domestic brands are expanding internationally, with significant export growth and market penetration in Europe and Southeast Asia [15]. Group 5: Brand Image and Communication - Automotive leaders are increasingly engaging with consumers through relatable narratives, moving away from traditional high-end marketing [39]. - The industry is addressing issues of "involution" and promoting high-quality development to avoid harmful price competition [40][41]. - Companies are adopting transparent communication strategies to build trust and address safety concerns following incidents involving autonomous driving technologies [44][46].

Core Insights - The issuance of the first L3-level autonomous driving license plate "渝AD0001Z" to Changan Automobile marks a significant milestone in China's progress in the autonomous driving sector, reflecting the company's commitment to safety and innovation [2][3] - The approval of L3-level conditional autonomous driving products by the Ministry of Industry and Information Technology indicates a critical advancement in the management practices of strategic technologies in China, serving as a catalyst for the industry's intelligent transformation [2][3] Industry Developments - Changan Automobile has undergone seven iterations of technology since establishing its intelligent research and development team in 2009, showcasing its deep-rooted automotive manufacturing experience and successful transition to smart technology [3] - The penetration rate of L2-level advanced driver assistance systems (ADAS) in new passenger cars in China exceeded 60% in the first three quarters of this year, with expectations to rise to 90% by 2030, indicating a shift from technology validation to large-scale commercial application [3] Collaborative Innovation - The achievement of L3-level autonomous driving is attributed to collaborative innovation across the industry chain, with leading domestic brands and new car manufacturers investing heavily in intelligent driving as a core strategy [4] - Domestic chip companies have made significant breakthroughs in high-performance AI computing chips, reducing reliance on foreign suppliers and providing a "digital foundation" for China's smart vehicles [4] Data Advantage - The rapid proliferation of L2-level assistance driving has established a strong foundation for the advancement of higher-level intelligent driving, creating a unique data advantage through millions of smart connected vehicles operating in complex road environments [5] - This data-driven approach enhances the iterative capabilities of autonomous driving algorithms, making it difficult for other countries to replicate [5] Regulatory Framework - The approval of L3-level products does not equate to mass production, as it serves as a "permit" for specific models to conduct road tests under strict conditions, emphasizing safety and regulatory compliance [6][10] - The initial speed limit of 50 km/h for L3-level autonomous driving reflects a cautious approach to ensure safety during testing in complex urban traffic environments [7] Future Outlook - Achieving safe and rapid deployment of L3-level autonomous driving requires a collaborative effort from government, enterprises, research institutions, and society [9] - A clear and stable regulatory framework is essential to define the legal identity of L3 vehicles and clarify responsibilities in the event of accidents [10] - Continuous investment in technology and infrastructure, along with public trust and understanding of autonomous driving, will be crucial for the industry's long-term success [11]