The artificial intelligence (AI) sleep tech and predictive health wearables market size is expected to see rapid growth in the next few years. It will grow to $7.73 billion in 2030 at a compound annual growth rate (CAGR) of 18.5%. The growth in the forecast period can be attributed to rising integration of AI-driven predictive health analytics in wearable devices, increasing demand for personalized preventive healthcare solutions, expansion of continuous biometric monitoring ecosystems, growing adoption of medical-grade consumer sleep tracking devices, and increasing use of cloud-based health data platforms for long-term wellness prediction. Major trends in the forecast period include AI-powered continuous sleep quality prediction and anomaly detection systems, IoT-enabled multi-sensor wearable sleep monitoring ecosystems, personalized AI-driven recovery and wellness optimization platforms, non-invasive biometric stress and fatigue tracking wearable devices, and cloud-based predictive health analytics for sleep disorder prevention.
The rising prevalence of sleep disorders is expected to propel the growth of the artificial intelligence (AI) sleep tech and predictive health wearables market going forward. Sleep disorders are medical conditions that disrupt normal sleep patterns, affecting sleep quality, duration, and overall health. The prevalence of sleep disorders is growing due to increasing stress levels, as chronic stress and anxiety disrupt normal sleep patterns, making it harder for individuals to fall asleep and maintain restful sleep. Artificial intelligence (AI) sleep tech and predictive health wearables continuously monitor sleep patterns, detect irregularities such as insomnia and sleep apnea, provide real-time health insights, and deliver personalized recommendations that help individuals improve sleep quality and manage sleep-related conditions more effectively. For instance, in November 2023, according to NHS Digital, a UK government health data and statistical authority, 37.8% of children aged 8 to 16 years in 2023 experienced sleep problems on three or more nights in the previous seven nights, while among young people aged 17 to 23 years in 2023, the share reporting frequent sleep problems reached 64.9%, with notably higher rates among young women at 74.7% compared with young men at 55.7%. Therefore, the rising prevalence of sleep disorders is driving the growth of the artificial intelligence (AI) sleep tech and predictive health wearables market.
Leading companies operating in the artificial intelligence (AI) sleep tech and predictive health wearables market are focusing on developing innovative products, such as AI-powered home sleep apnea testing devices, to improve remote sleep monitoring, enhance diagnostic accuracy, and support personalized healthcare solutions. AI-powered home sleep apnea testing devices are wearable diagnostic systems that use artificial intelligence and biosensors to monitor sleep and breathing patterns at home, helping improve early diagnosis, remote monitoring, and patient convenience. For example, in February 2025, PranaQ Pte. Ltd., a Singapore-based digital healthcare company, received U.S. Food and Drug Administration (FDA) 510(k) clearance for TipTraQ, an AI-enabled home sleep apnea test wearable designed to deliver comprehensive sleep and respiratory insights with minimal sleep disruption. The compact finger-worn wearable utilizes advanced biosensors and AI-driven analytics to detect sleep apnea events and analyze sleep architecture with clinical-grade accuracy in home environments. The device supports remote data transfer and cloud-based monitoring, allowing healthcare providers to access automated sleep reports without requiring patients to revisit clinics after testing.
In May 2025, ResMed Inc., a US-based health technology company, acquired VirtuOx for an undisclosed consideration. Through this transaction, ResMed Inc. aimed to strengthen its integrated sleep and respiratory care ecosystem by embedding at-home diagnostic capabilities, enhancing early detection of diseases, and broadening access to virtual care services for sleep, respiratory, and cardiac conditions. VirtuOx LLC is a US-based software-enabled independent diagnostic testing facility (IDTF) company specializing in AI-enabled sleep technology and predictive diagnostic health services.
Major companies operating in the artificial intelligence (AI) sleep tech and predictive health wearables market are Apple Inc., Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., Abbott Laboratories, Medtronic plc, Xiaomi Corporation, Koninklijke Philips N.V., DexCom Inc., Garmin Ltd., ResMed Inc., Masimo Corporation, Google LLC, Sleep Number Corporation, Oura Health Oy, iRhythm Technologies Inc., Zepp Health Corporation, Polar Electro Oy, Withings S.A., WHOOP Inc., Eight Sleep Inc., AliveCor Inc., Sleep Cycle AB, Ultrahuman Healthcare Private Limited, Movano Health, Interaxon Inc., Circular.
North America was the dominant region in the artificial intelligence (AI) sleep tech and predictive health wearables market in 2025. Asia-Pacific is expected to be the rapidly expanding region in the forecast period. The regions covered in artificial intelligence (AI) sleep tech and predictive health wearables report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) sleep tech and predictive health wearables market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) sleep tech and predictive health wearables market consists of revenues earned by entities by providing services such as predictive health analytics, personalized sleep coaching, real-time sleep optimization, remote health monitoring, clinical sleep diagnostics, and health ecosystem integration service. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) sleep tech and predictive health wearables market also includes sales of fitness bands, sleep tracking earbuds, smart sleep masks, smart sleep headbands, under-mattress sleep monitoring devices, biosensor patches, smart clothing, AI-powered sleep earbuds, and smart glasses with health tracking features. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
The artificial intelligence (AI) sleep tech and predictive health wearables market research report is one of a series of new reports that provides artificial intelligence (AI) sleep tech and predictive health wearables market statistics, including artificial intelligence (AI) sleep tech and predictive health wearables industry global market size, regional shares, competitors with a artificial intelligence (AI) sleep tech and predictive health wearables market share, detailed artificial intelligence (AI) sleep tech and predictive health wearables market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) sleep tech and predictive health wearables industry. This artificial intelligence (AI) sleep tech and predictive health wearables market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) Sleep Tech And Predictive Health Wearables Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) sleep tech and predictive health wearables market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) sleep tech and predictive health wearables? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) sleep tech and predictive health wearables market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Type: Smart Mattresses And Sleep Surfaces; Wrist Worn Sleep Trackers; Electroencephalography Headbands; Ring Form Factor Devices; Under Mattress Sensors2) By Technology: Artificial Intelligence And Machine Learning; Internet Of Things Enabled Devices; Biosensors And Biometric Monitoring; Cloud-Based Analytics; Predictive Analytics
3) By Distribution Channel: Online Retail Channels; Pharmacies; Hypermarkets Or Offline Retail
4) By Application: Sleep Quality Monitoring; Cardiovascular Health Prediction; Respiratory Disorder Detection; Stress And Recovery Management; Chronic Disease Early Warning
5) By End User: Individual Consumers; Healthcare Providers; Fitness And Sports Organizations; Corporate Wellness Programs
Subsegments:
1) By Smart Mattresses And Sleep Surfaces: Temperature Regulating Smart Mattresses; Pressure Sensing Smart Sleep Surfaces; Adaptive Comfort Smart Mattresses; Artificial Intelligence Enabled Sleep Optimization Mattresses2) By Wrist Worn Sleep Trackers: Smartwatch Based Sleep Trackers; Fitness Band Sleep Trackers; Medical Grade Wrist Sleep Trackers; Continuous Monitoring Wrist Sleep Devices
3) By Electroencephalography Headbands: Consumer Electroencephalography Sleep Headbands; Clinical Grade Electroencephalography Sleep Headbands; Wireless Electroencephalography Sleep Monitoring Headbands; Brainwave Tracking Sleep Headbands
4) By Ring Form Factor Devices: Smart Sleep Tracking Rings; Biometric Monitoring Sleep Rings; Heart Rate Variability Sleep Rings; Multi Sensor Sleep Analysis Rings
5) By Under Mattress Sensors: Pressure Sensitive Under Mattress Sensors; Motion Detection Under Mattress Sensors; Breathing Pattern Monitoring Sensors; Artificial Intelligence Enabled Sleep Pattern Sensors
Companies Mentioned: Apple Inc.; Samsung Electronics Co. Ltd.; Huawei Technologies Co. Ltd.; Abbott Laboratories; Medtronic plc; Xiaomi Corporation; Koninklijke Philips N.V.; DexCom Inc.; Garmin Ltd.; ResMed Inc.; Masimo Corporation; Google LLC; Sleep Number Corporation; Oura Health Oy; iRhythm Technologies Inc.; Zepp Health Corporation; Polar Electro Oy; Withings S.A.; WHOOP Inc.; Eight Sleep Inc.; AliveCor Inc.; Sleep Cycle AB; Ultrahuman Healthcare Private Limited; Movano Health; Interaxon Inc.; Circular
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- Apple Inc.
- Samsung Electronics Co. Ltd.
- Huawei Technologies Co. Ltd.
- Abbott Laboratories
- Medtronic plc
- Xiaomi Corporation
- Koninklijke Philips N.V.
- DexCom Inc.
- Garmin Ltd.
- ResMed Inc.
- Masimo Corporation
- Google LLC
- Sleep Number Corporation
- Oura Health Oy
- iRhythm Technologies Inc.
- Zepp Health Corporation
- Polar Electro Oy
- Withings S.A.
- WHOOP Inc.
- Eight Sleep Inc.
- AliveCor Inc.
- Sleep Cycle AB
- Ultrahuman Healthcare Private Limited
- Movano Health
- Interaxon Inc.
- Circular
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | April 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 3.92 Billion |
| Forecasted Market Value ( USD | $ 7.73 Billion |
| Compound Annual Growth Rate | 18.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


