According to Future Market Insights, the global brain computing interfaces market is set to reach US$ 1.8 billion in 2023. With a growth rate of 13.6%, the brain computing interfaces market is projected to reach US$ 6.5 billion by 2033. A significant amount of research has been conducted on brain-computer interfaces (BCIs) in recent years. A brain-computer interface allows humans to interact with technology using their thoughts alone, establishing a direct link that connects the brain to an external device.
Using BCIs raises interesting ethical and policy issues, like cognitive liberty, identity preservation, and access. For the development, deployment, and use of BCIs, researchers, policymakers, and ethicists must discuss their ethical implications.
Among other applications, BCIs have the potential to improve worker safety, improve productivity, and improve human-robot collaboration. For example, BCIs can be used to operate machinery directly from the brain or to monitor cognitive workload as a means of preventing accidents and improving the quality of work performed by employees.
BCIs can provide immersive and interactive experiences that can transform gaming and entertainment. Virtual reality experiences, neurofeedback-equipped entertainment platforms, and brain-controlled games are likely to transform consumer engagement with digital media in the coming years.
| Report Attributes | Details |
|---|---|
| Brain Computing Interfaces Market Size (2023) | US$ 1.8 billion |
| Brain Computing Interfaces Projected Market Value (2033) | US$ 6.5 billion |
| North America Market Growth Rate (2023 to 2033) | 22% |
| United Kingdom Growth Rate (2023 to 2033) | 13.7% CAGR |
| Japan Market Growth Rate (2023 to 2033) | 13.6% CAGR |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
FMI states that the global brain computing interfaces market is expected to grow at a CAGR of 15.6% from 2018 to 2022. BCIs are capable of combining with artificial intelligence (AI) and robotics in order to create powerful systems. For instance, brain activity decoding is done to improve precision when BCIs are used alongside AI algorithms, or advanced prosthetics that can be controlled by the brain. In both human-machine interactions and medical breakthroughs, collaborations like these can be beneficial.
Mental health conditions can be monitored and managed using BCIs. Neurofeedback can improve mental well-being and self-regulation skills by providing real-time information about brain activity. Post-traumatic stress disorder (PTSD) and anxiety are some of the conditions that BCIs may help with.
As BCIs will increasingly develop ethical concerns related to privacy, confidentiality, and informed consent as they become more advanced and widespread. In order for BCIs to be used responsibly, data protection and responsibility for their use will be key. To handle these challenges and protect user rights, guidelines and regulations should be established.
Technological Innovations in BCI Devices to gain Traction in Coming Years
Research is continually being conducted to develop higher precision and spatial resolution methods for recording neural activity. In the near future, new technologies will allow doctors to interpret the activity of the brain more accurately, including optogenetics, electrocorticography (ECoG), and nanotechnology-based sensors.
A growing trend has been observed toward the development of miniaturized and wearable devices for body-computer interfaces. In addition to being mobility-, comfort-, and user-friendly, these compact systems are suitable for long-term use in everyday life. Consumer electronics, healthcare, and assistive technologies can all benefit from wearable BCIs.
The use of BCIs can enhance human capabilities in a number of different areas. For example, BCI is being explored for applications in neurorehabilitation to restore movement and control to people with motor impairments. Cognitive functions can also be enhanced by BCIs, such as improving memory and attention.
With BCIs, brain-to-cloud communication can be achieved directly through the internet. With this, human brains can exchange information with online platforms, databases, and artificial intelligence systems seamlessly. Educational institutions, entertainment, and data analysis could all benefit from this technology.
Principal Consultant
The Use of Military Sectors to Increase Demand for Brain Computer Interfaces
Brain computing interfaces are expected to become widely used in the United States market. By 2033, the brain computing interfaces market is expected to reach a valuation of US$ 1.4 billion in the United States. US economic growth is projected to grow at a CAGR of 13.7% between 2023 and 2033.
The United States military has also explored BCIs for controlling drone swarms, monitoring a soldier's cognitive workload, and interconnecting weapons systems. The use of BCIs in healthcare extends to communicating with patients who are completely confined to prison. There are a number of BCI projects and startups underway in the United States that are exploring this technology's potential applications.
Several clinical trials are being conducted on brain devices in the United States which helps explain the region's dominance. Universities, hospitals, and research centers are increasingly adopting these devices and launching new initiatives such as the human brain project. With rising technologies in the country and dominance in healthcare, the brain computing interface demand is expected to grow.
China Implements High Levels of Advanced BCI, Paving the Way for the Growth Business
According to FMI, brain computing interfaces sales in China are expected to reach US$ 1.7 billion by 2033. From 2023 to 2033, the Chinese market is predicted to grow by 13.5%. Modernization of healthcare will lead to better options for individuals and healthcare professionals.
The growing incidence of neurodegenerative conditions in these countries has contributed to the growth of the BCI market. The demand for BCIs in this region will be driven by unmet needs, a rise in healthcare expenditures, and increased awareness among patients.
Foreign investors have flocked to China due to low manufacturing costs and favorable taxation policies. Innovations had been developed through intensive research and development. Chinese researchers also developed a brain-machine interface in 2020 using memristor arrays that can analyze neural signals, which achieved 93% accuracy in filtering epilepsy-related neural signals.
Developing Invasive Products That Improve Performance to Encourage the Use of Brain Computing Interfaces
Invasive BCIs are expected to dominate the brain computing interfaces market. According to forecasts, this segment of the market is expected to grow by 13.4% over the next few years. According to the government, the economy is expected to grow at a CAGR of 15.5% between 2018 and 2022. A brain-controlled robotic leg & arm and a camera connected to the brain will be able to restore vision to paralyzed people over the forecast period, so the invasive segment is expected to grow the fastest over the forecast period.
A new development in invasive BCIs would be the development of minimally invasive techniques to decrease the invasiveness of the procedure, thereby increasing market demand. While BCIs may offer potential benefits, they are also ethically problematic, including the risk of adverse effects on the brain and the need for informed consent. The development and use of brain-computer interfaces are expected to be fueled by future demand and growth, but they need to be evaluated for ethical and safety concerns.
Due to its ease of adaptation and various technological advancements, partially invasive BCI will also see significant growth during the forecast period. For instance, Synchron Inc. launched Stentrode in September 2019, a wireless neural interface that records brain activity partially invasively.
Healthcare Application is expected to Increase Demand for Brain Computing Interfaces
FMI predicts that the healthcare segment will grow at a CAGR of 13.1% by 2033. Cognitive or physical impairments are being treated with brain computer interface (BCI) technology. It promises to significantly improve the autonomy and mobility of these patients, which will greatly enhance their quality of life.
In addition to being an assistive, adaptive, and rehabilitation technology, BCI can be used to identify signals indicating the elderly's intent, which can then be incorporated into commands that can control almost any device. Growing demand for training motor/cognitive abilities is expected to help prevent the effects of aging in the future. As home nursing becomes more prevalent, BCI devices are expected to become more widely used for interacting with others as well as controlling home appliances.
An exoskeleton is a device that controls the joints of the body in order to increase their strength. Besides enhancing the study of neuroscience, BCIs are used to convert the signals from the brain into commands that are then displayed on a device such as a keyboard and a light controller for specific tasks such as reading or typing.
Advanced healthcare systems have been developed using BCI technology integrated with the Internet of Things (IoT). Neuronal interfaces that enable people with disabilities to communicate are being developed by startups such as CereGate. BCIs can be used in healthcare systems to benefit patients and researchers alike, offering numerous opportunities and benefits.
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
Technological advancements and changing market conditions constantly shape business trends. A growing startup ecosystem is resulting from the growing popularity of brain computing interfaces around the world. Some of the most important brain computing interfaces startups are listed below:
Many key players are active in the brain computing interfaces industry. Competitors compare the quality of their products, their innovation, their pricing, their distribution network, and their aftersales service. The Internet of Things (IoT) is one of the key technologies being invested in by key players to improve valve operations and decision-making. New technologies such as IoT and brain implants are being introduced by key companies. As a result, it enhances the efficiency of the valve, which in turn enhances the efficiency of the interfaces.
A number of approaches are being used by manufacturers to expand their business with aircraft OEMs, including alliances, mergers, and acquisitions. Various strategies are being adopted by key players to maintain their dominance in the market. Product launches, partnerships, and collaborations are examples of mergers and acquisitions.
A strict regulatory environment presents several challenges to the brain computing interfaces industry. Moreover, the industry must continue to advance its technology in order to keep up with its evolving needs. New entrants can invest in brain computing interfaces despite the challenges. A focus on developing distribution networks, researching and developing improved and cost-effective computing interfaces, and focusing on expanding markets.
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ billion for Value |
| Key Countries Covered |
|
| Key Market Segments Covered |
|
| Key Companies Profiled |
|
| Customization & Pricing | Available upon Request |
The market is valued at US$ 1.8 billion in 2023.
Ripple Neuro and Medtronic are the leading market players.
The healthcare sector is likely to remain preferred through 2033.
Players opt for mergers, collaborations, and acquisitions.
The United States and China dominate the global market.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Product, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product, 2023 to 2033 5.3.1. Invasive BCI 5.3.2. Partially Invasive BCI 5.3.3. Non-invasive BCI 5.4. Y-o-Y Growth Trend Analysis By Product, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Product, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 6.3.1. Healthcare 6.3.2. Disabilities Restoration 6.3.3. Brain Function Repair 6.3.4. Smart Home Control 6.3.5. Communication & Control 6.3.6. Entertainment & Gaming 6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-use 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By End-use, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-use, 2023 to 2033 7.3.1. Medical 7.3.2. Military 7.3.3. Others 7.4. Y-o-Y Growth Trend Analysis By End-use, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By End-use, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Europe 8.3.4. South Asia 8.3.5. East Asia 8.3.6. Oceania 8.3.7. MEA 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.2. By Product 9.2.3. By Application 9.2.4. By End-use 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Product 9.3.3. By Application 9.3.4. By End-use 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Product 10.2.3. By Application 10.2.4. By End-use 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Product 10.3.3. By Application 10.3.4. By End-use 10.4. Key Takeaways 11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. UK 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Europe 11.2.2. By Product 11.2.3. By Application 11.2.4. By End-use 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Product 11.3.3. By Application 11.3.4. By End-use 11.4. Key Takeaways 12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Malaysia 12.2.1.3. Singapore 12.2.1.4. Thailand 12.2.1.5. Rest of South Asia 12.2.2. By Product 12.2.3. By Application 12.2.4. By End-use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Product 12.3.3. By Application 12.3.4. By End-use 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Product 13.2.3. By Application 13.2.4. By End-use 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Product 13.3.3. By Application 13.3.4. By End-use 13.4. Key Takeaways 14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. Australia 14.2.1.2. New Zealand 14.2.2. By Product 14.2.3. By Application 14.2.4. By End-use 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Product 14.3.3. By Application 14.3.4. By End-use 14.4. Key Takeaways 15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Product 15.2.3. By Application 15.2.4. By End-use 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Product 15.3.3. By Application 15.3.4. By End-use 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. USA 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Product 16.1.2.2. By Application 16.1.2.3. By End-use 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Product 16.2.2.2. By Application 16.2.2.3. By End-use 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Product 16.3.2.2. By Application 16.3.2.3. By End-use 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Product 16.4.2.2. By Application 16.4.2.3. By End-use 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Product 16.5.2.2. By Application 16.5.2.3. By End-use 16.6. UK 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Product 16.6.2.2. By Application 16.6.2.3. By End-use 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Product 16.7.2.2. By Application 16.7.2.3. By End-use 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Product 16.8.2.2. By Application 16.8.2.3. By End-use 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Product 16.9.2.2. By Application 16.9.2.3. By End-use 16.10. India 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Product 16.10.2.2. By Application 16.10.2.3. By End-use 16.11. Malaysia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Product 16.11.2.2. By Application 16.11.2.3. By End-use 16.12. Singapore 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Product 16.12.2.2. By Application 16.12.2.3. By End-use 16.13. Thailand 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Product 16.13.2.2. By Application 16.13.2.3. By End-use 16.14. China 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Product 16.14.2.2. By Application 16.14.2.3. By End-use 16.15. Japan 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Product 16.15.2.2. By Application 16.15.2.3. By End-use 16.16. South Korea 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Product 16.16.2.2. By Application 16.16.2.3. By End-use 16.17. Australia 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Product 16.17.2.2. By Application 16.17.2.3. By End-use 16.18. New Zealand 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Product 16.18.2.2. By Application 16.18.2.3. By End-use 16.19. GCC Countries 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Product 16.19.2.2. By Application 16.19.2.3. By End-use 16.20. South Africa 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Product 16.20.2.2. By Application 16.20.2.3. By End-use 16.21. Israel 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Product 16.21.2.2. By Application 16.21.2.3. By End-use 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Product 17.3.3. By Application 17.3.4. By End-use 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. Natus Medical Incorporated 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.2. g.tec medical engineering GmbH 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.3. Medtronic 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.4. Compumedics Neuroscan 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.5. Brain Products GmbH 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.6. Integra Lifesciences Corporation 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.7. Advanced Brain Monitoring, Inc. 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.8. EMOTIV 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.9. NeuroSky 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.10. Interaxon, Inc. 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 18.1.11. ANT Neuro 18.1.11.1. Overview 18.1.11.2. Product Portfolio 18.1.11.3. Profitability by Market Segments 18.1.11.4. Sales Footprint 18.1.11.5. Strategy Overview 18.1.11.5.1. Marketing Strategy 18.1.12. Neuroelectrics 18.1.12.1. Overview 18.1.12.2. Product Portfolio 18.1.12.3. Profitability by Market Segments 18.1.12.4. Sales Footprint 18.1.12.5. Strategy Overview 18.1.12.5.1. Marketing Strategy 18.1.13. Ripple Neuro 18.1.13.1. Overview 18.1.13.2. Product Portfolio 18.1.13.3. Profitability by Market Segments 18.1.13.4. Sales Footprint 18.1.13.5. Strategy Overview 18.1.13.5.1. Marketing Strategy 18.1.14. NIRx Medical Technologies, LLC 18.1.14.1. Overview 18.1.14.2. Product Portfolio 18.1.14.3. Profitability by Market Segments 18.1.14.4. Sales Footprint 18.1.14.5. Strategy Overview 18.1.14.5.1. Marketing Strategy 18.1.15. OpenBCI 18.1.15.1. Overview 18.1.15.2. Product Portfolio 18.1.15.3. Profitability by Market Segments 18.1.15.4. Sales Footprint 18.1.15.5. Strategy Overview 18.1.15.5.1. Marketing Strategy 18.1.16. CGX, A Cognionics Company 18.1.16.1. Overview 18.1.16.2. Product Portfolio 18.1.16.3. Profitability by Market Segments 18.1.16.4. Sales Footprint 18.1.16.5. Strategy Overview 18.1.16.5.1. Marketing Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
Explore Technology Insights
View Reports
Brain Computing Interfaces Market
