Brain-Computer Interface 2026: 7.2 Billion Capital Influx as Industrialization Crosses the Critical Threshold
On July 1, Elon Musk's Neuralink announced the completion of the world's first brain-computer interface implantation surgery that penetrates the dura mater, completely eliminating the step of cutting the dura and instead directly passing electrode wires through the dura mater to implant them into the brain tissue itself. This approach reduces surgical trauma, shortens recovery time, and paves the way for larger-scale clinical applications in the future. This latest development has once again brought brain-computer interface technology into the global spotlight of the technology industry and capital markets.
In China, the brain-computer interface track is also entering a period of capital boom, with financing in the primary market accelerating across the board. Earlier this year, BrainCo's 2 billion yuan financing news ignited investment enthusiasm in the sector, and its recent official preview of the world's first brain-controlled robot training platform has also drawn widespread industry attention. According to data from IT Juzi, as of June 30, the brain-computer interface track has recorded 64 investment and financing transactions totaling about 7.253 billion yuan, far exceeding the total transaction volume for the entire year of 2025.
Behind this boom lies the epoch-making significance represented by brain-computer interface technology itself.
Today, brain-computer interfaces are establishing pathways between the human brain and silicon-based peripheral devices. In the future, activities that rely on humans perceiving their environment, making judgments, and executing operations may all find entirely new implementation methods through this technology. It is this versatility that transcends physical constraints that allows it to go beyond a single niche field and explore application scenarios across healthcare, consumer electronics, human-computer interaction, gaming and entertainment, and other sectors.
In medical rehabilitation, brain-computer interface systems are helping patients reestablish motor functions; in the education sector, they can capture and regulate attention states in real time; in consumer electronics, human-computer interaction and other areas, brain-computer interfaces are also bringing more immersive experiences.
Based on the degree of invasiveness to the brain, brain-computer interfaces can be divided into three major categories: non-invasive, semi-invasive, and invasive. Neuralink, founded by Elon Musk, and Merge Labs, invested in by Sam Altman, have respectively bet on the invasive and non-invasive routes, becoming important vane for investment and financing in this track.
In China, the brain-computer interface industry is showing a trend of three parallel development routes, each targeting different application scenarios, corresponding to different commercialization paces and investment logics. The invasive route features high risk and high return, making it more suitable for capital with long-cycle layouts; the non-invasive route has achieved commercial implementation, with a clear path to scalable revenue, attracting diverse industrial capital with low risk and stable returns; the semi-invasive route falls in between the two.
Technical Divide Between Invasive and Non-Invasive Approaches
With the advantage of direct contact with the cerebral cortex, invasive brain-computer interfaces boast high signal accuracy and signal-to-noise ratio, serving as the core technical path for overcoming severe neurological diseases. Its core research and development focus lies in controlling implantation trauma and ensuring long-term stability within the body. Of course, this route also corresponds to stricter medical device regulatory requirements and a longer clinical verification cycle.
The core challenge for non-invasive approaches lies in the "in-vivo limit of signal-to-noise ratio": the skull attenuates more than 80% of neural electrical signals, resulting in collected signals that are often weak at the microvolt level, mixed with a large amount of interference. To accurately decode a person's motor intentions, emotional states, and even thought content from noisy signals, the engineering difficulty of signal processing and algorithm decoding is no less than the precision challenge of surgical implantation — equivalent to clearly hearing a whisper on the other side of a wall and distinguishing every single word.
This is also why dry electrodes and deep learning decoding algorithms have become the core research directions for the non-invasive route. Enterprises represented by BrainCo have independently developed solid-state gel electrodes, breaking through the scalability bottleneck of traditional wet electrodes that require conductive paste application and cumbersome wearing processes. Combined with low-noise circuit design, the signal-to-noise ratio in real EEG tests reaches 10.78dB; on this basis, its high-performance neural signal decoding algorithm can integrate multi-modal physiological signals, completing the conversion from intention to action instructions within 200 milliseconds, with leading industry accuracy in motor intention recognition.
Globally, the upper limit of non-invasive precision is constantly being refreshed. In June 2026, Meta, in collaboration with Spain's Basque Cognitive Center, released the Brain2Qwerty v2 model, raising the decoding accuracy of non-invasive brain-computer interfaces from 8% to 61%, approaching the level of some invasive solutions. In the field of haptic feedback, BrainCo has achieved a two-way closed loop from environmental perception to neural feedback, using flexible tactile sensors to identify object features, then converting contact information into micro-stimuli perceptible to the human body, allowing users to perceive subtle environmental changes through neural and electromyographic pathways, enhancing the immersion and operational precision of human-computer interaction.
Simultaneous Implementation in Healthcare and Consumer Sectors: The Commercialization Prospects of Non-Invasive Brain-Computer Interfaces
The underlying logic behind global industrial support for brain-computer interfaces is highly consistent: encouraging technological innovation, while placing greater emphasis on safety, accessibility, and benefits for the general public.
The U.S. NIH's BRAIN Initiative and related DARPA research have consistently supported the parallel development of multiple routes, including non-invasive ones; the European Union, in its Human Brain Project and AI regulatory framework, has set strict requirements for the safety and ethics of brain-computer interfaces, prioritizing the encouragement of technical solutions with controllable risks and broad applicability.
At the same time, domestic policies are also laying a clear path for the industrialization of brain-computer interfaces.
In July 2025, seven departments including the Ministry of Industry and Information Technology jointly issued the Implementation Opinions on Promoting the Innovative Development of the Brain-Computer Interface Industry, clarifying two-phase goals, proposing to accelerate the application of brain-computer interface products in industrial manufacturing, medical health, consumer living and other fields by 2027. The core orientation is to use scenario implementation as the driving force to ensure that technology truly serves real needs.
Among them, non-invasive technology, with its characteristics of being safe, non-traumatic, and having a short implementation cycle, has been applied in multiple niche scenarios. In terms of product qualifications, products such as BrainCo's intelligent bionic prosthetics and ADHD rehabilitation training systems have successively obtained authoritative certifications including FDA and NMPA, covering multiple clinical needs such as limb function reconstruction and neurodevelopmental disorders; on the payment side, the National Healthcare Security Administration has established an independent billing category for non-invasive brain-computer interfaces, with regions like Zhejiang and Beijing successively including it in medical insurance reimbursement, continuously reinforcing commercial sustainability.
Beyond medical rehabilitation, brain-computer interfaces also hold market potential in the consumer sector. As early as around 2010, Muse launched a neurofeedback headband focused on sleep and meditation training, while Emotiv's EPOC opened up another market in game development and human-computer interaction research.
Recently, the application capabilities of brain-computer interfaces in human-computer interaction have continued to break through. According to BrainCo's announcement, the 21-high-degree-of-freedom dexterous bionic hand has been iteratively implemented. At the upcoming Shanghai World Artificial Intelligence Conference, its first brain-controlled robot system and neural data acquisition solutions and other cutting-edge achievements will also make their debut, providing underlying support for the development of embodied intelligence from both the signal decoding and data supply ends respectively.
These combined advances point to a more accessible future: brain-computer interfaces are stepping out of the laboratory and penetrating into diverse scenarios, assisting in concentration improvement in education, creating immersive experiences in entertainment, providing precise health interventions in the consumer sector, and building a neural interaction foundation in the field of embodied intelligence.
The truly epoch-making technologies ultimately derive their value from widespread adoption. This holds true for electricity, the internet, and equally for brain-computer interfaces. When a technology can only serve a tiny minority, it remains a cutting-edge exploration in the lab; when it can enter the lives of the general public at an affordable cost and in a convenient manner, it truly ushers in the era of an entire industry. On this long journey for brain-computer interfaces to move from technology to universal benefit, the non-invasive route is taking the lead in entering a critical transition phase of industrialization.