GXSH(SZ:000716) Ge Long Hui·2025-05-23 09:41Company - Black Sesame Intelligence is a leading Chinese company in autonomous driving computing and AI chip production, with advantages in self-developed core IP, high-performance architecture, and automotive-grade chip mass production capabilities [2] - The company has developed two self-researched automotive-grade IPs: NeuralIQ ISP image processor and DynamAI NN neural network accelerator, creating a high-efficiency, low-power chip platform supported by a complete algorithm and toolchain [2] - Black Sesame has a product range covering computing power from tens of TOPS to thousands of TOPS, supporting applications in intelligent driving, integrated cockpit, and robotics [2] - The company is expected to accelerate chip shipment growth in 2025, with mass production solutions for multiple models from major manufacturers like Geely, FAW, and Dongfeng [2] - The company anticipates revenue growth of 76.8%, 69.3%, and 44.0% for 2025, 2026, and 2027, respectively, with projected revenues of 840 million, 1.42 billion, and 2.04 billion yuan [2] - The gross margin is expected to improve to 45.8%, 47.0%, and 47.7% for 2025, 2026, and 2027, respectively [2] - The target price is set at 24.04 HKD, based on a 16.8 times 2025 P/S ratio, with a "buy" rating [1][2] Industry - The global autonomous driving and robotics industry is entering a rapid development phase, with advanced driving functions being integrated into vehicles priced at 100,000 yuan by 2025, significantly increasing industry penetration [1] - Companies like Tesla, Xiaomi, and XPeng, along with robotics startups such as Yushu and Zhiyuan, are accelerating the commercialization of humanoid robots [1] - The demand for high-performance AI chips is expected to grow due to the competitive landscape of smart vehicles, where advanced driving features may become standard, driving the need for mid-to-high-performance chips [1] - Future robots are anticipated to penetrate various sectors, including home, healthcare, industry, commerce, and education, leading to long-term demand for robotics AI chips [1]