Wearable EEG Market

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Wearable EEG - Market Size

Based on the revenues of the seven major international players in the market, the global market size of wearable electroencephalography (EEG) devices is at least $899 million. The main sub-markets include meditation and breathing, sports, performance, relaxation, brain-computer interface, pain management, sleep monitoring, and epilepsy monitoring.

Global market size of wearable EEG devices

  • Emotiv, Neurosky, Muse, Melon, Versus Headset, Melomind, and IMEC are the seven major international players in the wearable EEG market.
  • Emotiv has an estimated annual revenue of $2.8 million.
  • The annual revenue of Neurosky is approximately $6.1 million.
  • The revenue of Muse, also known as InteraXon, is around $11.5 million yearly.
  • Melon is also one of the major companies in the wearable EEG space. It generated a revenue of $31.5 million in 2017.
  • Versus has an annual revenue of about $1 million.
  • As calculated from the prices of major wearable EEG headsets, the average price of a wearable EEG device was $475 in 2017. Taking this into account and the number of brain training headsets sold by Melomind (1,000 headsets) in 2017, the 2017 revenue of the company was $0.475 million.
  • The estimated annual revenue of IMEC is $845.3 million.
  • Considering the above-mentioned revenues of the leading companies in the market, the global market size of wearable EEG devices is calculated to be at least $899 million.

Main sub-markets of EEG wearable devices

  • The main sub-markets of wearable EEG devices are meditation and breathing, sports, performance, relaxation, brain-computer interface, pain management, sleep monitoring, and epilepsy monitoring.

Research Strategy


To determine the market size of wearable EEG devices, we leveraged information from global market reports published by Market Watch, Market Research News, and Wise Guy Reports. Although the market size is only available behind paywall, the Market Watch report summary was able to provide the key market players. Assuming that the revenues of these companies when added together would reflect the global market size of wearable EEG devices, we searched for their respective annual revenue. Since the identified companies are all privately held hence, not obliged to report revenue publicly, we consulted company databases, such as Crunchbase, Zoominfo, and Owler, as well as news articles to get revenue estimates.

For Melomind's revenue, a direct estimate was not provided so we considered the number of brain training headsets that the company sold in 2017 (1,000 units) and the average price of wearable EEG head sets. We calculated the latter by considering the prices of the following major wearable EEG devices:

Muse 2016 — $200
Epoc — $799
Insight — $300
OpenBCI — $500 to $949: average price = (500 +949)/2 = $974.5 or $975
Neurosky Mindwave — $99.99 or $100

Therefore, the average price of a wearable EEG device is calculated as: ($200 + $799 + $300 + $975 + $100)/5 = $474.8 or $475.

Consequently, the estimated revenue of Melomind in 2017 was: 1,000 x $475 = $475,000 = $0.475 million.

By calculating the sum of the revenues of the identified major players in the market ($2.8 million + $6.1 million + $11.5 million + $31.5 million + $1 million + $0.475 million + $845.3 million = $898.675 million), we were able to provide the estimated global market size of wearable EEG devices.


We were able to identify the main sub-markets of EEG wearable devices by examining relevant research articles and websites. However, information on their respective market share was not given on market reports, business sites, and science and technology portals.
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Wearable EEG - Trends

There were no publicly available ranked lists found around the top trends in the wearable EEG market. Based on the available reports and professional studies, the following are the reported trends that are increasingly seen in the biomedical sector around the usage of electroencephalography (EEG) in devices: EEG usage for assessing brain activity while immersed in consumer marketing campaigns, EEG application in brain-computer interface (BCI) initiatives, biometric identity verification using EEG, and EEG-powered robot assistants.


The following are the EEG-devices trends that stood out based on the reports and studies that we searched:


  • The use of EEG to assess the brain activity of consumers who are seeing advertising campaigns is one of the trends happening in this sector.
  • The use of neurophysiological techniques to understand the impact of marketing initiatives on the buying behavior of consumers has exploded in the last few years.
  • This is driven by the ineffective traditional means that are currently being used to gauge the consumers' response to campaigns.
  • Usually, the results of the old ways are highly influenced by the consumers' skill and openness to providing their detailed answers to typical purchasing behavior questions.
  • The results are usually skewed because of the biases and constraints that are found in a person's conscious and unconscious awareness level.
  • It was discovered also that unconscious processes may heavily influence consumer behaviors more.
  • As companies search for more effective means of measuring this behavior, experts in the field are now using neurophysiological techniques in this area.
  • One of the neurophysiological methods involves the use of EEG and devices that are close to the skin to measure bodily reactions such as " skin conductance, heart rate, respiration, eye tracking, and facial expressions."
  • There are still some limitations on the use of EEG as most tests were done inside the laboratories.
  • However, there are more improvements expected to test the use of EEG and relate devices in the real world.

EEG application in brain-computer interface (BCI) initiatives

  • People with extreme brain disabilities are demanding for more innovative individualized rehabilitation solutions.
  • This is a continuously developing research area that has applications in "healthcare systems, from fall prevention to neuronal rehabilitation, to educational, self-regulation, production, marketing, and security as well as games and entertainment."
  • As this need continues to rise, some research work has been undertaken to create BCIs that can help in the rehabilitation of impaired people.
  • Most of the research done is on the use of non-invasive assistive devices that use EEG concepts to further develop these BCIs.
  • These BCI-EEG-assistive solutions are expected to improve human-machine communications especially for the rehabilitation of the disabled.

biometric identity verification using EEG

EEG-powered robot assistants.

  • The application of a bioelectrical stimulus to improve the typical motor-disability aids has seen massive growth.
  • This is backed by the significant development done on biosensor innovations and the rising interest in addressing accessibility constraints effectively and naturally.
  • With this technology, control outputs are straightaway detected from the wearer's biometric signals.
  • The signals can be directly taken by EEG-powered devices from the brain or muscular patterns.
  • These signals will then be used to communicate with distinct devices such as " robotics exoskeletons or assistive robotic arms or hands."


We started our research by looking for readily available list of top trends around the wearable EEG market. We looked for this information in various sources such as in market reports from Amazing Herald, Wise Guy Reports, The Market Research News, and other similar sources; business publications such as Forbes, Inc, Bloomberg, and others; media outlets such as The New York Times, Herald, CNN, and other related sites; press release sites such as Cision, News Wire, and others; and consulting sites such as EY, PWC, and other relevant sources. Based on this search approach, we found several reports that contain trends around the EEG market for devices such as wearables. However, most of the reports are behind a paywall. Also, there are no available lists that rank the top trends in this sector. What we were left with is a list of EEG devices trends from a Reportlinker market research report that was featured in a PR News Wire press release.
We also looked for interviews or surveys from academic and medical experts in several sources such as on the sites of related associations like the World Health Organization, the American Medical Association, the World Medical Association, the Global Medical Technology Alliance, and other groups. We hope to find any statements from these professionals that we can use to extrapolate the top EEG trends around the wearable EEG market. However, what we found are statements around some innovations in the industry. There were no findings or mentions of the top trends that they see in the wearable EEG sector.
We then searched for corroborating trend research papers and studies from in academic or medical-related research sites such as NCBI, PubMed, Researchgate, Taylor and Francis Online, and other relevant sources. We hoped to validate the initial Reportlinker report that we found with solid studies from experts in the medical and academic fields. Based on this search approach, we found several research papers that mentioned about growth and increasing use of EEG that revolve around the trends that we initially found. Although EEGs are not outright linked to wearables in some of these reports, we found that there are mentions of some devices that are akin to wearable-type of gadgets. Given this, we have inferred that these are still related to wearable EEG trends. There is also some mention of some slightly outdated data points in the studies found but there were explanations on how the information is linked to the current trends as part of their development history.
Given the absence of publicly available sources that rank the top trends in the wearable EEG market, we have indicated the trends that we found from the PR News Wire site. We also included some findings from the studies that we found from expert-backed research from NCBI and other sources to show the growth or increase around these chosen wearable EEG trends.