Core Insights - Since 2025, multiple automotive companies have chosen to collaborate with Huawei and Momenta, although some self-research companies also partner with them, the core intelligent driving systems remain primarily self-developed [2] - The intelligent driving landscape is dominated by Huawei and Momenta, while self-research companies maintain significant market presence due to their terminal sales advantages [2] User Base Distribution - In the domestic intelligent driving market, Huawei, Momenta, and self-research companies lead in user numbers, while other factions have relatively dispersed and low user concentration [3] - From January to November 2025, Huawei's HI model achieved a deployment of 134,100 vehicles, accounting for 19.76% of third-party suppliers [3] - By the end of 2025, Huawei's QianKun intelligent driving system had accumulated over 5.42 billion kilometers of assisted driving, successfully avoiding 2.12 million potential collisions [3] - Momenta's city NOA deployment reached 414,400 vehicles, representing 61.06% of third-party suppliers during the same period [3] Market Share and Collaboration - From January 2023 to October 2024, Momenta achieved a market share of 60.1% in the city NOA third-party intelligent driving market, with 8 out of the top 10 global automotive companies collaborating with Momenta [4] - Self-research companies include BYD, Li Auto, Xiaomi, Tesla, and NIO, with BYD's "Tianshen Eye" system activated in 94.13% of its models [4][11] Technological Pathways - Huawei's intelligent driving system boasts a full-stack self-research capability, integrating chips, software algorithms, and sensors into a cohesive technology ecosystem [7] - Huawei's ADS system features a "chip-algorithm-cloud" architecture, enhancing data processing efficiency and system stability [7] - Momenta employs a data-driven innovation model, utilizing an "end-to-end large model" for scalable production, achieving significant breakthroughs in technology [10] Business Strategies - Huawei adopts a dual-track strategy of binding with leading automotive companies while expanding into the mid-to-low-end market [8] - Momenta's open cooperation strategy lowers the entry barrier for automotive companies, with over 130 models in mass production [10] Technical Route Characteristics - Different technical routes exist within the intelligent driving ecosystem, each with its advantages and disadvantages, leading to a diverse market landscape [14] - The pure vision route is cost-effective but struggles with recognizing unusual obstacles and performs poorly in extreme weather [14] - The multi-sensor fusion route, while providing precise measurements, incurs high hardware costs and complex data calibration [14] - End-to-end and modular routes reduce cumulative errors but face challenges in model interpretability and training costs [15]