Global AI in Detecting Sleep Disorders Market to Reach USD 983.26 Million by 2033, Driven by Advancements in AI-Powered Diagnostic Devices and Increasing Sleep Disorder Prevalence | DataM Intelligence

The Global AI in Detecting Sleep Disorders Market reached US$ 486.22 million in 2024 and is expected to reach US$983.26 million by 2033, growing at a CAGR of 8.2% during the forecast period 2025-2033.

The market growth is driven by increasing adoption of AI-powered diagnostic tools like wearable sensors and contactless monitoring devices, which provide non-invasive, real-time sleep analysis. Advances in AI algorithms improve accuracy in detecting disorders such as sleep apnea and insomnia. Growing awareness of sleep health and rising prevalence of sleep disorders further fuel demand. Moreover, integration of AI with telemedicine and personalized healthcare enhances patient monitoring and treatment outcomes.

United States: Key Industry Developments

✅ September 2025: The global AI in detecting sleep disorders market valued at approximately USD 13.6 billion in 2025, driven by increased adoption of AI-enabled wearable sleep monitoring devices and telehealth platforms improving early diagnosis of conditions such as sleep apnea and insomnia.

✅ October 2025: Vanderbilt University developed a novel wireless sleep monitoring system integrating multimodal sensing and explainable AI, enabling real-time sleep stage detection and enhanced diagnosis accuracy outside traditional labs.

✅ Throughout 2025: Growth driven by patient preference for home-based diagnostics using AI-powered tools providing continuous, real-time sleep data, faster diagnosis, and personalized treatment plans supported by healthcare providers.

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Asia-Pacific / Japan: Key Industry Developments

✅ October 2025: Asia-Pacific market growth fueled by increased investments in wearable biosensors and AI algorithms for sleep disorder detection, particularly in China, Japan, and South Korea.

✅ Mid-2025: Governments bolster digital health integration projects promoting AI-powered sleep health solutions in clinical and home settings to address rising sleep disorder prevalence amid aging populations.

✅ Early 2025: Expansion of AI-driven sleep health services in corporate wellness and research programs enhances disease prediction and individualized therapy development.

Mergers and Acquisitions (2025):

✅ EnsoData - acquired Resonea's sleep testing technology in 2024 to enhance smartphone-based preliminary sleep apnea screening, improving access to sleep diagnostics at home.

✅ Fisher & Paykel Healthcare - completed acquisition of Compusult, a Canadian sleep technology firm, in April 2025, strengthening its portfolio in AI-driven sleep respiratory devices.

✅ Tempur-Pedic and Calm - partnered in January 2025 to integrate AI-powered multisensory experiences into smart beds, promoting better sleep routines through personalized content.

Growth Drivers:

-Increasing integration of AI and wearable technologies enables continuous, accurate monitoring and early diagnosis of sleep disorders including sleep apnea, insomnia, and narcolepsy.

-The shift towards telemedicine and remote patient monitoring expands access to sleep disorder detection, especially in underserved and remote regions.

-Rising prevalence of sleep disorders coupled with growing awareness about sleep health fuels demand for advanced AI-powered diagnostic solutions.

-Government initiatives and investments in healthcare digitalization accelerate adoption of AI-enabled sleep diagnostic and monitoring tools globally.

Market Segmentation Analysis:

-By Device Type

Wearable Devices hold approximately 48% of the market in 2025, valued around USD 6.5 billion. These include smartwatches and skin-interfaced sensors offering continuous, real-time sleep monitoring.

Non-Wearable Devices account for 52%, including bedside monitors and AI-enabled polysomnography systems used traditionally in clinical settings and increasingly adapted for home use.

-By Technology

Sensing Technologies-including multimodal sensors like radar, audio, thermal, and biometric sensors-command about 38% of the market, critical for accurate sleep pattern detection.

Computing Technologies such as AI algorithms, machine learning, and cloud/edge computing form 42%, driving data processing, anomaly detection, and diagnosis precision.

Display Technologies (wearable and bedside device interfaces) make up 20%, providing patient and clinician insights through dashboards and alerts.

-By Application

Obstructive Sleep Apnea (OSA) is the largest application segment, around 40%, driven by high prevalence and demand for early detection and monitoring.

Insomnia accounts for about 20%, with AI techniques assisting diagnosis and personalized therapy recommendations.

Narcolepsy and Restless Leg Syndrome each hold roughly 10-12%, reflecting rising focus on these conditions.

Others comprise the remaining 18%, including parasomnia and shift work sleep disorder monitoring.

-By End-User

Hospitals represent 35%, employing AI-enabled devices in sleep labs and specialty care settings.

Homecare Settings cover 30%, reflecting growing adoption of portable AI sleep monitors and telehealth diagnostics.

Neurological Centers hold about 15%, focusing on complex sleep disorder diagnostics.

Research Institutions account for 12%, invested in AI algorithm development and validation.

-Others (corporate wellness programs, sleep clinics) make up around 8%.

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Regional Insights:

United States

-The U.S. AI-driven sleep disorder detection market strongly contributes to the North American regional market, which is the largest globally.

-The global AI-powered sleep technologies market is valued at USD 13.6 billion in 2025, with a large portion attributed to the U.S. due to advanced healthcare infrastructure and widespread adoption of AI in diagnostics.

-AI technologies are used in sleep monitoring, apnea detection, sleep coaching, and digital sleep therapy, with hospitals, sleep clinics, and home care as key end users.

-Market growth is driven by increasing prevalence of sleep disorders, rising AI healthcare adoption, and demand for non-invasive diagnostics.

Europe

-Europe's AI-powered sleep technologies market is projected to grow from USD 3.39 billion in 2025 to USD 7.39 billion by 2035, with a CAGR of 8.1%.

-Germany leads the European market with a 26.8% share in 2025, supported by strong healthcare infrastructure and medical technology hubs such as Berlin and Munich.

-The market growth in Europe is supported by rising awareness of sleep disorders, AI integration in diagnostics, and government focus on healthcare innovation.

Asia-Pacific

-Asia-Pacific also sees strong growth with adoption of AI wearable technologies and sleep disorder diagnostics across China, Japan, and South Korea.

-AI algorithms facilitate real-time data analysis from wearable devices, enabling faster diagnosis and personalized treatments for sleep apnea and other disorders.

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Competitive Landscape:

According to DataM Intelligence, the Global AI in Detecting Sleep Disorders Market is moderately fragmented, with innovative technology leaders and specialized AI health companies collaborating to provide advanced, AI-driven diagnostics and monitoring solutions for sleep health.

Key Players
Fullpower Technologies, Inc. | Apple Inc. | Endel | BigHealth | dbbeats | Dr.BreathE | Neybox Digital Ltd. | SleepUp Limited | Calm.com, Inc. | Sleep Cycle AB

Key Highlights

-AI-enabled sleep trackers represent around 48.3% of the market in 2025, reaffirming their leading role in continuous, high-accuracy sleep monitoring and disorder detection.

-Machine learning and sensor fusion technologies hold approximately 38.3% market share, critical in achieving precise diagnosis and performance in diverse healthcare environments.

-Fullpower Technologies' Sleeptracker.ai platform analyzed over 17 million nights of data, showing ≥95% sensitivity in detecting moderate to severe obstructive sleep apnea (OSA).

-Apple, Calm.com, Sleep Cycle, and other consumer tech companies leverage integrated AI algorithms to offer widely adopted sleep health monitoring and improvement tools.

-Emerging innovators like Endel, BigHealth, and SleepUp focus on AI-driven personalized therapies and behavioral interventions to enhance sleep quality and manage disorders effectively.

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