Core Insights - The strategic partnership between Botai Vehicle Networking Technology and SenseTime marks a significant step towards the integration of AI in smart cockpit technology, indicating a new phase in China's intelligent connected vehicle industry [1][2] Group 1: Strategic Collaboration - Botai and SenseTime will focus on the deep integration of AI large models in smart cockpits, while also investing in humanoid robots and integrated cockpit-driving solutions [1] - The collaboration aims to create a platform-level AI agent that offers a comprehensive solution from software to cloud services, enhancing the user experience in smart cockpits [1][2] Group 2: Technological Advancements - The partnership will leverage AIDC infrastructure and self-developed AI inference and training chips to reconstruct the smart cockpit experience across multiple dimensions, including personalized interaction and safety [2] - A high-efficiency collaborative mechanism for "end-side large models" will be established, forming an integrated smart connected vehicle platform [2] Group 3: Humanoid Robotics Development - The collaboration will combine SenseTime's advanced visual perception algorithms with Botai's expertise in hardware design and mass production to develop a new generation of flexible and intelligent humanoid robots [2] - These robots are expected to excel in scenarios such as smart cockpit services and vehicle maintenance, potentially transforming the robotics industry [2] Group 4: Ecosystem Development - The companies will work together to create a full-stack solution focusing on integrated cockpit-driving, vehicle-road collaboration, and international expansion [3] - The integration of driving decisions with cockpit experiences will be enhanced through AI-generated personalized features, promoting unified interaction among people, vehicles, and the environment [3]

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告之內容概不負責，對其準確 性或完整性亦不發表任何聲明，並明確表示概不就因本公告全部或任何部份內容而產生或因 倚賴該等內容而引致之任何損失承擔任何責任。 PATEO CONNECT Technology (Shanghai) Corporation 博 泰 車 聯 網 科 技 ( 上 海 ) 股 份 有 限 公 司 （ 於 中 華 人 民 共 和 國 成 立 的 股 份 有 限 公 司 ） （股份代號：2889） 自願公告 訂立合作框架協議 本公告乃由博泰車聯網科技（上海）股份有限公司（「本公司」或「博泰」）自願作出。 訂立合作框架協議 本公司董事（「董事」）會（「董事會」）謹此宣佈，於2025年10月7日，本公司與上 海商湯智能科技有限公司（「商湯智能科技」）訂立合作框架協議（「合作框架協 議」）。 合作框架協議主要內容 合作原則 本公司及商湯智能科技基於「資源互補、優勢共享、合 作共贏」的原則，決定建立長期戰略合作關係，並簽署 合作框架協議，以共同推動人工智能在智能網聯汽車等 相關領域的融合與應用。 本公司及商湯智能科技將聯合部署高性能服務器， 依託A ...

Group 1 - Horizon is set to release a new integrated cockpit and driving chip in 2026, which is expected to be the most complex chip designed by the company to date [3] - The new chip development is led by Horizon's VP and Chief Architect Su Qing, focusing on defining computing power based on software algorithm requirements, which is becoming a mainstream development model in the autonomous driving chip sector [3][4] - The integrated cockpit and driving chip aims to reduce data transmission latency and simplify vehicle hardware design, offering a cost advantage over separate chips for mid-to-low-end autonomous driving and cockpit systems [5] Group 2 - Qualcomm is a major player in the integrated chip market, with its Snapdragon 8775 chip offering AI computing power of 72 Tops, and an upgraded version, the SA8797, providing 320 Tops, which is set to be used by companies like Li Auto and Leap Motor [4][5] - Horizon's lower-tier chips (J2/J3) still account for a significant portion of its shipments, with an expected shipment volume of around 4 million units in 2025, split evenly between low-tier and mid-to-high-tier solutions [5][6] - BYD is actively integrating its cockpit and driving teams to develop its own integrated chip products, with plans to launch a One-Board solution that combines cockpit and driving functions on a single PCB [6][7] Group 3 - BYD's "Heavenly Eye" driving assistance system is categorized into three platforms based on computing power and configuration, with plans to mass-produce the B platform by 2025, potentially offering advanced driving features at lower price points [7][8] - BYD aims to maintain its scale through smart technology, planning to introduce high-level driving assistance features at competitive prices as it faces increasing competition in the electric vehicle market [8]

Group 1 - The 2025 IAA Mobility exhibition in Munich showcased Black Sesame Intelligence's various chips and solutions, focusing on AI-driven smart vehicles [1] - Black Sesame introduced the "Safe Intelligent Foundation" solution, which utilizes the Wudang C1200 family of cross-domain integration chips to address safety and cost challenges in automotive cross-domain integration [1][2] - The Wudang C1200 family includes the C1236, the first domestic SoC chip supporting navigation-assisted driving, and the C1296, the industry's first multi-domain integration computing chip [2] Group 2 - The Huashan A2000 chip sample was a highlight, integrating CPU and NPU functionalities, and is designed to support advanced driver assistance systems and robotics [1][2] - The production results of the Huashan A1000 family have been successfully implemented in multiple vehicle models, including Geely Galaxy E8 and Dongfeng Yipai eπ007 [2] - Black Sesame aims to drive innovation and global collaboration in the automotive industry by providing cost-effective and reliable advanced driving assistance technology [2]

Core Insights - The automotive-grade SoC (System on Chip) chips are essential for vehicle intelligence, covering smart cockpit and autonomous driving, and are becoming key replacements for traditional ECUs as automotive electronic architectures upgrade [1][2] - The smart cockpit market is expected to double globally from $33.16 billion in 2021 to $70.63 billion by 2024, with China experiencing a growth rate exceeding 31% [1][8] - The penetration rate of cockpit domain controllers in China is projected to reach 29.37% by 2024, highlighting the potential in lower-tier markets [1][8] - Autonomous driving is accelerating towards L3 level, with significant penetration expected by 2025, and L4 level projected to reach 4.4% by 2027 [1][9] Industry Overview - Automotive-grade SoC chips are integrated circuits designed for automotive electronic systems, combining processors, memory, interfaces, and sensors into a single chip to enable functionalities like autonomous driving and smart cockpit [2][3] - The industry is characterized by a clear upstream and downstream collaboration, with upstream relying on imported IP cores and semiconductor materials, while the midstream chip design is active with companies like Horizon Robotics and Black Sesame [6][7] Market Segmentation - The automotive-grade SoC chips are primarily divided into two categories: smart cockpit SoCs focusing on CPU/GPU performance and multimedia processing, and autonomous driving SoCs emphasizing AI computing power and functional safety [3][5] - The smart cockpit market is rapidly growing, with a projected compound annual growth rate (CAGR) of 28.66% from 2021 to 2024, and expected to reach $148.41 billion by 2030 [8] - The autonomous driving sector is transitioning from ADAS to higher-level autonomous driving, with L3 technology expected to be implemented in 2024 [9] Competitive Landscape - The smart cockpit chip market is currently dominated by foreign companies, with Qualcomm, AMD, and Renesas holding 85% of the market share by 2024, while domestic suppliers have increased their market share from less than 3% to over 10% [12][13] - The autonomous driving SoC market is primarily led by Nvidia, Tesla, and Mobileye, but domestic companies like Huawei and Horizon Robotics are gaining traction [13] Future Trends - The automotive-grade SoC industry is evolving towards high computing power, low power consumption, and increased localization, with a target of achieving over 70% localization by 2028 [14][15] - The demand for high-performance SoC chips is expected to grow significantly as autonomous driving capabilities penetrate lower-tier vehicle markets [16] - The integration of chip technology with algorithms and tools is expected to enhance the competitive edge of domestic manufacturers, fostering a collaborative ecosystem [15][16]

Core Insights - The article discusses the successful hosting of the 2025 Chengmai SuperBrain online seminar, focusing on the theme of "integrating cockpit and driving with 'SuperBrain': an open ecosystem platform" [1] - Chengmai Technology launched the cockpit-driving integration production accelerator "SuperBrain platform," aimed at promoting the implementation of cockpit-driving integration [1][3] Industry Trends - The automotive industry is transitioning from distributed electronic architectures to domain control architectures, ultimately moving towards a central computing platform to address challenges such as long R&D cycles and insufficient hardware-software collaboration [3] - Cockpit-driving integration is identified as a key path to reduce costs and enhance efficiency by sharing computing power and building a unified software platform [3] Company Developments - Chengmai Technology has over ten years of experience in the smart automotive sector, offering mature solutions in smart cockpits, central domain control, and assisted driving [3] - The SuperBrain platform is designed for the next generation of automotive electronic architectures, leveraging established chip solutions from partners like NXP, Qualcomm, NVIDIA, and Horizon [3][5] Product Features - The SuperBrain platform is an integrated intelligent computing platform that supports flexible hardware configuration and continuous software upgrades, enabling real-time data sharing and dynamic computing power allocation [5] - It aims to help clients compress project development cycles and quickly create differentiated functionalities [5] Partner Insights - NXP highlighted the complexity and cost challenges of diverse ADAS architectures and introduced a scalable vehicle computing platform for software-defined vehicles [6] - Continental Group emphasized China's leadership in SDV and EEA evolution, suggesting that global OEMs may adopt strategies from Chinese manufacturers [6] - Nullmax discussed its evolution from independent domain control to integrated cockpit-driving solutions, focusing on AI-driven multi-domain integration for various transportation scenarios [7] Collaborative Efforts - A roundtable discussion among industry leaders reached consensus on the necessity of cross-chip integration and the establishment of unified interface standards as critical for mass production [8] - The launch of the SuperBrain platform marks a significant step for Chengmai Technology in the cockpit-driving integration field, with plans for continued collaboration with global partners to accelerate the large-scale implementation of smart automotive technologies [8]

Core Insights - The rapid development of "integrated cockpit and driving" in the Chinese market is driven by the fusion of independent smart cockpit and smart driving functions, creating a powerful "central brain" for managing all intelligent features of vehicles [1][2] - The evolution of automotive architecture is becoming the core of transformation in the automotive industry, with a shift from distributed systems to centralized systems [2][3] Industry Trends - The automotive architecture is transitioning from a distributed system with multiple independent "brains" to a centralized system, leading to the emergence of three main forms: integrated driving and parking, integrated cockpit and parking, and integrated cockpit and driving [2] - The trend towards centralized computing is exemplified by the adoption of a single universal SoC (System on Chip) as the core of central computing, with Qualcomm's Snapdragon Ride Flex SoC being a key player in this new phenomenon [2][3] Technological Advancements - The advantages of "computing power sharing" and cost reduction are prompting more automakers to consider the "integrated cockpit and driving" solution, as the computing power of cockpit SoCs and driving SoCs continues to increase [3][4] - NIO's central computing platform, ADAM, can share up to 256 TOPS of computing power between driving and cockpit functions, enhancing operational efficiency [3] Challenges - The challenge of "system multi-domain parallelism" remains a significant hurdle for the "integrated cockpit and driving" approach, as the differing focuses of smart cockpit and smart driving systems complicate their integration [4][5] - The increasing number of display interfaces and the need for advanced human-machine interaction (HMI) further elevate the computing power requirements for AI technologies in vehicles [5][6] Future Outlook - Many players in the automotive industry are actively launching products related to "integrated cockpit and driving," with over ten Chinese automakers and ecosystem partners planning to adopt the new Snapdragon automotive platform [6][7] - While "integrated cockpit and driving" is currently a leading solution, it may not be the ultimate answer for future smart driving technologies, indicating a need for ongoing evaluation as advancements occur [7]

Core Viewpoint - The article discusses the current trends and developments in the Chinese electric vehicle (EV) market, highlighting sales performance, market structure, and advancements in intelligent driving technologies. Group 1: Market Trends - In July 2025, sales of new energy vehicles reached 1.262 million units, showing a month-on-month decline of 5.0% but a year-on-year growth of 27.3%, with a penetration rate of 48.7% [5] - The sales of new energy passenger vehicles were 1.195 million units, representing a year-on-year increase of 25.4%, while new energy commercial vehicle sales reached 67,000 units, up 74.9% year-on-year [9] Group 2: Market Structure - In July 2025, the market share of new energy sedans was 43.7%, down 0.3 percentage points year-on-year, while the share of new energy SUVs was 46.3%, down 2.0 percentage points [7] - All segments in the market experienced growth, with commercial vehicles growing faster than passenger vehicles, and MPV models in the passenger vehicle market showing significant increases [7] Group 3: Intelligent Driving Technology - The installation rate of L2 and above auxiliary driving functions in new energy passenger vehicles reached 82.6% in the first half of 2025, with significant growth in the market below 160,000 [11] - The overall installation rate of Automatic Emergency Braking (AEB) in passenger vehicles was 64.4%, with new energy passenger vehicles achieving a rate of 67.1% [14] - The installation rate of Full-Speed Adaptive Cruise Control (ACC) in the overall passenger vehicle market was 59.4%, while new energy passenger vehicles reached 69.9% [20] - The Automatic Lane Change (ALC) function benefits from advancements in sensor technology, improving environmental perception for better decision-making [23] - The Automatic Parking Assistance (APA) function's installation rate in passenger vehicles was 34.4%, with higher rates in the market above 240,000 [28] Group 4: Domain Control Evolution - The evolution of domain controllers reflects the technological advancements in smart automotive electronics, transitioning from application layer integration to physical layer integration, and eventually to function integration based on a single chip [32][34] - The rapid development of domain controllers is driven by the increasing demand for high-performance and reliable chips, which are essential for smart vehicle systems [37] - Despite the progress, challenges remain in the form of technical complexity, product reliability, and ecosystem development, which require time to address [40]

Core Viewpoint - Youjia Innovation (2431.HK) reported record high performance indicators for the first half of 2025, showcasing significant growth in revenue and profitability [3]. Financial Performance - Total revenue for Youjia Innovation in the first half of 2025 reached 346 million RMB, representing a year-on-year increase of 46.1% [5]. - Gross profit amounted to 52 million RMB, with a year-on-year growth of 54.8%, and the gross margin increased by 0.9 percentage points to 15% compared to the first half of 2024 [5]. Revenue Composition - Revenue from the intelligent driving business was 241 million RMB, up 32.4% year-on-year, accounting for approximately 69.8% of total revenue [7]. - Revenue from intelligent cockpit solutions reached 61 million RMB, with a remarkable year-on-year increase of 99.0%, contributing about 17.6% to total revenue [7]. - Revenue from vehicle-road collaboration solutions was 39 million RMB, reflecting a year-on-year growth of 63.4%, making up approximately 11.2% of total revenue [7]. Business Development - As of June 30, 2025, Youjia Innovation has achieved mass production for 42 automotive manufacturers and secured 18 new project contracts from automotive manufacturers and tier-one suppliers in the first half of the year [7]. - The company launched several advanced intelligent driving solutions, including iPilot 4 Plus and iPilot 4 Pro, to meet diverse customer needs and lead industry development [7]. Product Innovations - In the intelligent cockpit sector, Youjia Innovation introduced the new "Smart Butler BamBam" solution, enhancing personalized and scenario-based user experiences [8]. - The company also released the fully self-developed intelligent cockpit DMS integrated product, iCabin Lite [8]. - The L4 autonomous driving iRobo business made significant progress, with commercial deployment of unmanned minibuses in multiple cities, accumulating over 10 projects [8]. Global Expansion Strategy - Youjia Innovation is actively pursuing a global strategy, including preparations for overseas auto shows and establishing sales channels abroad, with a subsidiary set up in Singapore [9]. - The company has expanded its customer base from domestic brands to joint ventures, with a presence in various international markets including the EU, Australia, Singapore, Malaysia, India, South Korea, Dubai, Turkey, and Mexico [9]. Future Outlook - Youjia Innovation aims to focus on the "integrated cockpit and driving" strategy, exploring diverse scenarios for L4 autonomous driving, continuously iterating technology, upgrading products, and providing high-quality services to empower the smart automotive industry [9].

Financial Performance - The company's revenue for the first half of 2025 reached 1.46 billion yuan, representing a year-on-year growth of 25.25% [10] - Gross margin was 20.33%, with a net profit margin of 8.43%, showing increases of 0.29% and 1.19% respectively compared to the previous year [10] - New project orders secured during the first half of the year have an annualized sales value exceeding 18 billion yuan [10] Strategic Goals - The company aims to maintain strong growth and achieve international transformation, aspiring to enter the top tier of global automotive parts suppliers [10] - Key strategic directions include stabilizing domestic business, high-level R&D investment, and continuous innovation in intelligent solutions [12] Market Expansion - The company is focusing on overseas markets, particularly Europe, Japan, and Southeast Asia, with tailored strategies for each region [12][15] - In Europe, the company is establishing a complete research, production, and sales capability, while in Japan, it is making steady progress with major automotive brands [15] Product Development - The company is advancing its intelligent driving and cockpit products, with a focus on high-value, high-technology content products [10] - The integration of hardware and software capabilities is emphasized, with a full-stack approach to product development [18] Regulatory Compliance - New regulations in intelligent driving are seen as beneficial for the industry's healthy development, with the company actively participating in standard-setting [12] - The company is enhancing its capabilities to meet stricter safety and reliability requirements for intelligent driving systems [12][14] Competitive Advantage - The company maintains a competitive edge through innovative product offerings and a diverse product matrix that meets a wide range of customer needs [12][14] - Continuous investment in R&D and a focus on high-performance, cost-effective solutions are key to sustaining market leadership [12][14] Future Outlook - The company is exploring new business opportunities in areas such as autonomous delivery and robotics, aiming for sustainable long-term growth [12][16] - The development of low-speed autonomous vehicles is underway, targeting applications in logistics and special modifications [16]