全球产业趋势跟踪周报:存储芯片迎“超级周期”,人形机器人产业化进程加速-20251110
CMS·2025-11-10 14:32

Core Insights - The storage chip industry is entering a "super cycle" driven by the unprecedented demand for AI computing power, particularly for large models and high bandwidth requirements, leading to a fundamental restructuring of the industry logic and cycle characteristics [2][3][17] - The humanoid robot industry is accelerating its industrialization process, with significant developments from companies like Tesla, XPeng, and Leju Intelligent, showcasing advancements in AI and robotics integration [2][3][41] Storage Chip Industry Trends - The storage chip sector is experiencing a structural prosperity period, with rapid advancements in high bandwidth memory (HBM) and high bandwidth flash (HBF) technologies, leading to a supply-demand imbalance and rising prices [3][16] - Major players like SK Hynix and Samsung Electronics are strengthening their profitability in the HBM market, which is driving growth in upstream equipment, materials, and packaging manufacturers, as well as downstream AI servers and cloud computing [3][19] - The current cycle is characterized by a shift from traditional inventory management to a demand-driven model, with AI's insatiable need for computing power redefining the value of memory [17][19] Humanoid Robot Industry Trends - The humanoid robot industry can be divided into three main segments: "brain," "body," and "system integration," with the core value concentrated in the midstream components [3][59] - Companies like Tesla are planning large-scale production of humanoid robots, with Tesla's Optimus expected to have a market capacity of billions of units, indicating a significant shift towards AI-driven manufacturing platforms [41][44] - XPeng's new humanoid robot, IRON, showcases advanced features and aims for mass production by the end of 2026, highlighting the competitive landscape in the humanoid robotics sector [50][52] Investment Recommendations - The report suggests focusing on sectors with marginal improvements, including AI applications, AI hardware, power equipment, non-ferrous metals, and innovative pharmaceuticals in the short term [4] - In the medium to long term, it emphasizes the importance of technological cycles, supply-demand dynamics, and the progress of intelligent infrastructure and AI ecosystems [5]