I'm LongbridgeAI, I can summarize articles.Caitong Securities released a research report indicating that the brain-computer interface market is continuously growing, especially in China, where the market size is expected to reach 3.2 billion yuan by 2024, with an annual growth rate of 18.8%. This technology has significant potential in the medical field, capable of improving the quality of life for patients with severe motor disorders. Recommended companies to pay attention to include CTN, Xiangyu Medical, and Sanbo Neuroscience
According to the Zhitong Finance APP, Caitong Securities has released a research report stating that brain-computer interfaces can significantly improve the quality of life for patients with severe motor disorders or other neurological diseases, showing great development potential. The global market size of the industry continues to grow, with the Chinese market growing rapidly. Currently, the medical field is the main application area for brain-computer interfaces. Although most products in the brain-computer interface field are still in the early stages, some companies have made breakthrough progress worth noting. It is recommended to pay attention to: CTN (300430.SZ), Xiangyu Medical (688626.SH), and Sanbo Neuroscience (301293.SZ).
The main points of Caitong Securities are as follows:
Brain-computer interfaces have development potential in the medical field
Brain-Computer Interface (BCI) technology is a method of controlling external devices by interpreting brain signals, allowing direct information retrieval from the brain and converting it into actionable commands. In healthcare, BCI can significantly improve the quality of life for patients with severe motor disorders or other neurological diseases, showing great development potential.
The global market size of brain-computer interfaces continues to grow, with rapid growth in the Chinese market
According to statistics from Precedence Research, the global brain-computer interface market size has grown from USD 1.2 billion in 2018 to USD 2.35 billion in 2023, with a compound annual growth rate (CAGR) of 11.85% from 2018 to 2023. By 2033, the global market size for brain-computer interfaces is expected to reach USD 10.8 billion, with a CAGR of 16.48% from 2023 to 2033. According to data from CCID Consulting, the market size of brain-computer interfaces in China is expected to be CNY 3.2 billion in 2024, with a growth rate of 18.8%. As innovations in brain-computer interface technology continue to emerge and medical application scenarios deepen, it is expected that the market size in China will reach CNY 5.58 billion by 2027, with a CAGR of 20.29%.
The medical field is currently the main application area for brain-computer interfaces
In 2024, the medical field will account for 46.14% of the market share in the brain-computer interface sector. According to estimates from McKinsey & Company, the potential market size for brain-computer interfaces in the medical field globally is expected to reach USD 40 billion to USD 145 billion between 2030 and 2040, with the potential market size for serious medical applications ranging from USD 15 billion to USD 85 billion, and for consumer medical applications ranging from USD 25 billion to USD 60 billion. The healthcare sub-market has the highest market share, accounting for 61.59%, primarily applied in treating sleep disorders, neurological diseases, paralysis patients, and researching neuroscience.
Key technologies and three major challenges of brain-computer interface systems
The application scenarios of brain-computer interface technology can be divided into three categories based on information flow: brain state detection, neural regulation, and external interaction. The key technologies for brain-computer interfaces around these three application scenarios include acquisition technology, stimulation technology, external control technology, paradigm coding technology, algorithm coding technology, and systematic technology, with the most critical being signal acquisition technology, paradigm coding technology, and algorithm coding technology. Currently, BCI faces three major challenges: EEG signals are complex and weak; The signal processing process is complicated; decoding accuracy is limited.
Risk Warning: The industry's development speed is slower than expected; ethical and moral risks; information security and privacy leakage risks; risks of unregulated industry development due to the lack of regulations and standards