2024-12-25-浙商证券-2024脑机接口发展机遇市场潜力国内进展及相关标的分析报告_25页_2mb

Brain-Computer Interface (BCI) Industry Analysis Summary

1. Introduction and Technical Overview

• Definition: Brain-Computer Interfaces (BCIs) facilitate direct communication between the human brain and external devices by capturing and interpreting brain signals, bypassing traditional neural pathways. Non-invasive methods (e.g., EEG) are mainstream, while invasive techniques target deeper brain regions but face challenges like immune compatibility and tissue damage.
• Evolution: BCI technology has advanced through three phases (scientific fantasy, scientific argumentation, and technological explosion). It is now at a critical stage with faster decoding accuracy and diverse applications spanning medicine, gaming, and military sectors [

Primary Breakthrough Stage

• Technological Acceleration: Central to this phase is machine learning, enabling efficient BCI signal decoding and integration with emerging tools like Neuralink's Blindsight device. Neuralink's FDA breakthrough device designation (Sept 2024) accelerates market entry for neural implants aimed at restoring lost functions like vision [
  isolation, targeted at severe medical conditions like paralysis and mental disorders, lacks large-scale deployment due to high costs, clinical trials, and ethical considerations. China is making strides in non-invasive BCI; for instance, firms like Strong Brain Tech have FDA-certified products [

2. BCI-Machine Learning Integration and Applications

• BCI in Robotics: Scientists are pairing brain signals with machine intelligence to create advanced systems. Examples include rehabilitation robots (e.g., 'Shen Gong No. 1', NOIR universal robot system) that help patients regain movement or control household devices [
• BCI Models: Researchers at Shanghai Jiao Tong developed 'Labram', an EEG-based deep learning model processing 2500 hours of data to enhance signal translation across diverse BCI tasks [

3. Market Potential and Global Leadership

• Market Growth: The global BCI market is projected to reach $108.9B by 2033 (CAGR 17.2%), with significant segments in medical (serious healthcare and consumer applications) and emotionally-driven applications, expected to grow to $600B [
• Serious Healthcare: Expected to dominate with $1450B market cap by 2040, while consumer healthcare focuses on sleep analysis or games [
• Geographic View: The US is the dominant player with pioneering initiatives like the 'Brain Research Initiative' ($4.5B over 12 years). European and Japanese research concentrates on non-invasive BCI and integrates robotics [

4. Domestic Progression (China Perspective)

• Policies and Strategy: China includes BCI as part of the "future industries" strategy (
  Indigenous Research**: While strong in non-invasive BCI (e.g., SSVEP-based systems from Tsinghua) with notable medical devices like 'Brain NE'O entering clinical trials in China, Chinese research in invasive BCI lags due to hardware/software limitations, though some institutions (e.g., Shanghai Jiao Tong, Tianjin University) show significant promise [

5. Company Analysis (Notices of Listed Entities)

• Zhongke Infomall leverages AI for industrial solutions and integrates BCI for pain response analysis in healthcare; planning expansion into smart anesthesia systems [
• Yan Shan Technology focuses on neural-network model development with non-invasive BCI hardware; their Labram brain model is in the training phase [
• Cheng Yi Tong provides medical device solutions, integrating BCI into rehabilitation robotics and bioscience manufacturing [
• Dong Fang Zhong Ke divides into edge-computing for specialized BCI applications, focusing on sensorimotor tasks or smart systems integration [