There isn’t one single market today that fully represents the focus we’ve decided to give this OER. What “called us” to investigate this area of Neuroscience more, is precisely the advances being made everyday to make science more accesible to reinvent education in the real world, in this case, through wearables. This “market” sits at the intersection of different sectors. On one side, we have the wearables market in education, which includes smartwatches, fitness bands, and AR/VR devices used for engagement, accessibility, and gamified learning — but these don’t necessarily measure or respond to brain activity exclusively. On the other side, there’s the neurotechnology market, which includes tools like EEG headsets, brain–computer interfaces, and biometric sensors that do focus on brain signals, but they’re often developed for healthcare, research, or mindfulness, not specifically for learning. NeuroEdTech is emerging where these worlds meet, but it’s still early — and the market itself is fragmented, experimental, and hard to quantify for now.
While there's growing global interest in brain-based learning, we’ve found that the “neuroeducation market” is being tracked separately from broader categories like wearables or neurotechnology.
A recent report estimated the neuroeducation market will reach USD 3 billion by 2032, mostly driven by software, cognitive training platforms, and brain-based curriculum tools. However, this segment doesn’t include EEG headbands or biometric wearables, which fall under other categories like wearable EdTech or the broader neurotechnology market. So even though these areas overlap conceptually, the actual market data is fragmented and categorized differently, which makes mapping NeuroEdTech as a single industry a bit tricky.
The global market for wearable technology in education is projected to grow significantly over the next decade.
Some reports estimate an increase from USD 5.6 billion in 2024 to USD 34 billion by 2034, with a compound annual growth rate (CAGR) of nearly 20%.
Devices like smartwatches, EEG headbands, and AR/VR tools are driving this growth, particularly in higher education and corporate training contexts.
North America leads this adoption, with the U.S. accounting for a large share of educational wearable use.
The fastest-growing segments include:
Classroom engagement tools
Gamified and immersive learning
Focus and attention tracking wearables
The global neuroeducation market is projected to reach USD 3.0 billion by 2032, growing at a CAGR of ~11.2% from 2023.
Growth is being driven by:
Increased interest in cognitive science-based learning tools
Rising demand for personalized and adaptive education technologies
Expanded use of brain-based curriculum design in schools and training programs
The market includes:
Cognitive training platforms
Brain-based educational software
Research-backed teaching frameworks and interventions
Segments include K–12, higher education, and corporate training, with North America leading adoption.
⚠️ Note: This market category does not include hardware or wearable devices like EEG headbands — it's focused on software and educational frameworks grounded in neuroscience.
The global neurotechnology market was valued at over USD 13 billion in 2023, and is projected to reach around USD 38–40 billion by 2032, growing at a CAGR of 12–14%.
The market includes devices and technologies used to record, stimulate, or modulate brain activity, like:
EEG (Electroencephalography) headsets
Brain-computer interfaces (BCIs)
Neurostimulation devices (like tDCS or DBS)
Neurofeedback systems
Healthcare remains the dominant sector (neurology, mental health, rehabilitation), but non-clinical applications, like wellness, gaming, and education, are growing.
North America and Europe lead in development and adoption, though Asia-Pacific is expected to grow rapidly due to technology innovation and increasing health-tech demand.
Barriers to education-specific adoption include:
High costs of clinical-grade devices
Lack of standardization and validation in learning settings
Ethical concerns around brain data privacy
🔎 Note: While neurotechnology is advancing fast, its use in learning environments remains limited and largely experimental. EdTech-specific EEG applications are a tiny niche within a much larger health-focused market.
Here are some of the existing ventures in the neuro-edtech-wearable market that we’ve found. As mentioned previously, we believe they should be critically considered (not meaning they have no validity!) in educational contexts and as decision-making tools.
Founded: 2011 by Dr. Tan Le and Geoff Mackellar
Headquarters: San Francisco, with R&D in Sydney and Ho Chi Minh City
What it does: Emotiv develops advanced EEG headsets and platforms that measure brain activity in a “non invasive” manner. They use saline based wet sensors (instead of sticky gels) to track electrical activity on the user. Their technology is used in neuroscience research, education, wellness, and brain-computer interface (BCI) applications.
Products for education:
Insight and EPOC X headset
EmotivPRO software for cognitive tracking
Used in classrooms and universities for measuring attention, stress, and engagement during learning tasks
Market focus: Emotiv serves both research and commercial/massive sectors, it has become increasingly active in education, offering schools tools to explore cognitive science and emotional states in real time.
Traction & scale:
Estimated $11.8M–$12M annual revenue (Growjo, Tracxn)
~80 employees
Raised over $4M in funding, including seed and Series A rounds
Customers in over 100 countries
Partnered with universities, researchers, and startups
Relevance to NeuroEdTech: Emotiv is one of the most prominent EEG ventures making its way into education. While more commonly used in higher ed or pilot programs than in K–12, its tools represent a real bridge between neuroscience and classroom practice.
Founded: 2004
Headquarters: San Jose, California
What it does: NeuroSky builds affordable consumer-grade EEG biosensors and brainwave-sensing headsets. It was one of the first companies to offer accessible brain–computer interface (BCI) technology for non-medical use.
Flagship products:
MindWave and MindWave Mobile headsets. The MindWave is one of NeuroSky’s entry-level EEG headsets. It came out in China in 2010 and then in the U.S. and Europe in 2011. At just $99, it’s one of the cheapest EEG devices ever made. It’s been marketed for both education and fun — like brain-training games, focus apps, and classroom demos.
Used for attention training, brain fitness, meditation, and STEM education kits
In education:
Targeted mainly at K–12 and self directed learners
Offers entry-level EEG headsets for basic neurofeedback, classroom demos, and interactive learning tools
Partnered with edutainment and gamified apps to build focus and emotional regulation in younger learners
Mindflex was made with Mattel and released in 2009. It claimed players lifted a ball by concentrating and moving it through a maze, and concentration was measured by a headset developed by NeuroSky. It was highly questioned by scientists, who were skeptical about it really measuring brain waves or just moving the ball randomly.
Traction & scale:
Estimated funding: $10.4M raised across 2 rounds (Tracxn)
Backed by investors like SK Telecom Ventures and Rustic Canyon Partners
Revenue estimated between $10M–$25M (CB Insights)
Operates globally with partnerships in education, gaming, and wellness
Relevance to NeuroEdTech:
While not as research-oriented as Emotiv, NeuroSky helped pioneer the consumer EEG space, especially for affordable classroom and personal use
It’s more entry-level and accessible, making it a good case for exploring the balance between simplicity and scientific validity in EdTech
Founded: 2007
Headquarters: Toronto, Canada
What it does: Muse develops consumer-grade EEG headbands that provide real-time feedback on brain activity to support meditation, sleep, and focus. Their goal is to make brain-sensing technology accessible for personal wellness and mental fitness.
Flagship products:
Muse 2 and Muse S headbands
Tracks brainwaves, heart rate, breathing, and body movement during guided meditation and sleep sessions
Paired with the Muse app, which offers analytics and audio feedback to help users build mindfulness habits
Educational relevance:
Used in school-based SEL programs, teacher stress-reduction workshops, and pilot studies on attention and emotion regulation
While not research-grade, Muse has become a common entry point for exploring neurofeedback in learning and well-being contexts
Funding & traction (based on PitchBook & Tracxn):
Raised over $28 million USD across multiple funding rounds
Key investors include Horizon Ventures, FF Venture Capital, and OMERS Ventures
Estimated revenue range: $10M–$25M annually
Over 1 million global users, with a strong presence in wellness and emerging interest in education
Relevance to NeuroEdTech:
Muse is one of the most widely adopted EEG devices in non-clinical settings
It sits at the intersection of neuroscience and well-being, with expanding applications in education, especially for mindfulness, emotional regulation, and focus training
🔧 Instructions:
Match each NeuroEdTech venture to its correct description. Each pair will help reinforce what the company does, who it's for, and why it matters.
You can also access here: https://wordwall.net/resource/94439004
NeuroEdTech tools tend to focus on niche or emerging markets, rather than mass K–12 adoption (for now). Common target audiences include:
NeuroEdTech companies often present a mix of practical, emotional, and innovation-driven value. These are the most common claims:
Most ventures operate under one of the following business models:
If you could design a NeuroEdTech tool, what would it do? Answer here: https://www.menti.com/alvfjivyuszn