脑机接口产业化加速，全产业链核心标的梳理

Industry Background - The brain-computer interface (BCI) industry is entering a commercialization phase in 2025, driven by policy support and technological breakthroughs. The Ministry of Industry and Information Technology (MIIT) and other departments have set a goal for key technological breakthroughs by 2027 and the establishment of an industrial system [1] - The National Medical Insurance Administration has added pricing items for BCI implantation and adaptation fees, accelerating clinical applications and charging [1] - Domestic companies are making significant progress, with Shanghai Ladder Medical's implantable wireless BCI system becoming the first to enter the NMPA's green channel for innovative medical devices [1] - Global competition includes Neuralink's plan to launch a Telepathy device by 2029, but domestic companies have achieved technological advantages in certain areas, such as Yanshan Technology's 60ms ultra-low latency control performance [1] Industry Chain Overview - The BCI industry chain consists of three main segments: upstream (electrodes/chips), midstream (EEG processing devices), and downstream (application scenarios), each with distinct technological barriers and commercialization rhythms [3] - Upstream components, particularly implantable and non-invasive electrodes/chips, are critical for signal precision and stability, representing the core competitiveness of the industry [3] Upstream Segment - Implantable electrodes/chips are essential for medical applications, with companies like Gaode Infrared developing flexible tactile sensors that reduce immune rejection and extend signal collection duration [4] - Weisi Medical focuses on optimizing biocompatibility for its microelectrode arrays, which have entered clinical validation for precise localization in epilepsy [4] - Non-invasive chips serve as entry points for consumer applications, with companies like Xiangyu Medical developing multi-modal EEG acquisition devices for rehabilitation [7] Midstream Segment - The midstream segment is responsible for EEG signal acquisition, analysis, and transmission, with a focus on low latency (under 60ms) and multi-modal integration [9] - Companies like iFlytek have achieved a 92% accuracy rate in emotion recognition from EEG signals, indicating significant algorithmic advantages [10] - Yanshan Technology has achieved ultra-low latency control performance, surpassing early versions of Neuralink [11] Downstream Segment - The downstream applications are driven by both medical and consumer sectors, with a focus on epilepsy, Parkinson's disease, and gaming [13] - Medical rehabilitation is a high-demand area supported by policies, with companies like Aipeng Medical developing EEG acquisition devices and achieving a net profit margin of approximately 15% [14] - Consumer applications include gaming and smart home technologies, with companies like Tom Cat integrating BCI into AI games to develop mind-control products [16]