Explore the research.
Explore the market signals and scientific evidence shaping CogniTracer’s approach to continuous cognitive tracking. Follow an insight’s citation to its reference, then select the research title to read the original source.
Key insights: The opportunity for cognitive tracking
Of the 128 million U.S. adults aged 35–65, an estimated 45% use health trackers. Assuming 70% are interested in long-term preventive monitoring and 46% of that group are interested in cognitive tracking, this suggests an initial potential audience of approximately 19 million people.
- Health tracking is part of everyday life. Smartwatches and health trackers have made personal health data familiar to millions of Americans. Cognitive tracking offers a natural next step for people who already want to understand their health better. (Pew Research Center, 2026; Nagappan, Knowles, & Krasniansky, 2024)
- Today’s insights. A longer-term perspective. Interest in healthy aging and ongoing health tracking creates an opportunity to bring cognitive wellness into everyday routines. CogniTracer’s vision is to help people get to know their cognitive patterns over time. (Callaghan et al., 2024; Steinhart, Hupfer, & Upadhyaya, 2022)
- Brain health deserves a place in the picture. Public interest in brain health and research into smartphone-based cognitive monitoring point to an opportunity for more accessible ways to understand cognitive wellness. The epilepsy study offers an encouraging perspective from a specific patient population; interest across the broader public may differ. (Alzheimer’s Association, 2026; Helmstaedter, Von Wrede, & Al-Haj Mustafa, 2025)
- More dimensions. A clearer picture of cognitive health. Combining signals from language, speech, and everyday interactions could help reveal subtle cognitive changes and support monitoring over time. Research shows that combining facial and voice signals can outperform either alone in detecting cognitive impairment—an encouraging foundation for a more complete view of brain health. CogniTracer’s vision is to turn that broader perspective into awareness that helps people take proactive steps toward protecting their cognitive health. Monitoring itself has not been shown to prevent cognitive decline. (Shankar et al., 2025; Takeshige-Amano et al., 2024)
- Make brain health part of the longevity journey. Digital health is moving toward personal baselines and ongoing care, creating an opportunity to make cognitive tracking part of everyday healthy aging. BrainHQ highlights the market for brain training, while the NIH-funded ACTIVE trial found a 25% lower rate of dementia diagnosis over 20 years among older adults receiving specific speed training with booster sessions—a training result, not a monitoring benefit. CogniTracer’s vision is to build on this momentum with accessible, continuous tracking that turns everyday signals into a clearer understanding of cognitive health over time. (Rock Health, 2025; SeniorGigGuide, 2026; National Institutes of Health, 2026)
References
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Alzheimer’s Association. (2026, April 21).
New Alzheimer’s Association report: Americans care deeply about brain health but most don’t know how to maintain it.
Alzheimer’s Association.
Retrieved September 7, 2026.
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Callaghan, S., Doner, H., Medalsy, J., Pione, A., & Teichner, W. (2024, January 16).
The trends defining the $1.8 trillion global wellness market in 2024.
McKinsey & Company.
Retrieved September 7, 2026.
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Helmstaedter, C., Von Wrede, R., & Al-Haj Mustafa, S. (2025).
Trackognize: A smartphone-based tool for continuous monitoring of cognitive functioning in epilepsy.
Epilepsy & Behavior.
Retrieved September 7, 2026.
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Nagappan, A., Knowles, M., & Krasniansky, A. (2024, August 5).
Put a ring on it: Understanding consumers’ year-over-year wearable adoption patterns.
Rock Health.
Retrieved September 7, 2026.
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Pew Research Center. (2026, June 17).
Just under half of adults under 50 have a smartwatch, while smaller shares of older adults say so.
Pew Research Center.
Retrieved September 7, 2026.
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Steinhart, M., Hupfer, S., & Upadhyaya, J. (2022, December 8).
Healthy holidays: Wearables and health data may tip the scales toward better nutrition.
Deloitte Insights.
Retrieved September 7, 2026.
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National Institutes of Health. (2026, February 10).
Cognitive speed training over weeks may delay the diagnosis of dementia over decades.
National Institutes of Health.
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Rock Health. (2025, December 8).
Healthcare innovation at the turn of 2026: Mapping what’s now and what’s next in digital health.
Rock Health.
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SeniorGigGuide. (2026, May 19).
Best apps for brain health: The 2026 guide for adults 55+.
SeniorGigGuide. Consumer guide; secondary source.
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Shankar, R., Goh, Z., Devi, F., & Xu, Q. (2025).
A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection.
npj Digital Medicine, 8, Article 724.
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Takeshige-Amano, H., Oyama, G., Ogawa, M., Fusegi, K., Kambe, T., Shiina, K., Ueno, S.-I., Okuzumi, A., Hatano, T., Motoi, Y., Kawakami, I., Ando, M., Nakayama, S., Ishida, Y., Maei, S., Lu, X., Kobayashi, T., Wooden, R., Ota, S., … Hattori, N. (2024).
Digital detection of Alzheimer’s disease using smiles and conversations with a chatbot.
Scientific Reports, 14, Article 26309.