Artificial Intelligence (AI)-Powered Sleep Apnea Monitoring Global Market Report 2025

The artificial intelligence (AI)-powered sleep apnea monitoring market size has grown exponentially in recent years. It will grow from $1.51 billion in 2024 to $1.84 billion in 2025 at a compound annual growth rate (CAGR) of 21.8%. Growth during the historic period can be attributed to the increasing prevalence of obesity, rising awareness of sleep health supported by screening initiatives, an expanding aging population with higher-risk groups, a growing shift toward home-based diagnostics and care models, payer-driven cost containment efforts, and a stronger emphasis on early detection priorities.

The artificial intelligence (AI)-powered sleep apnea monitoring market size is expected to see exponential growth in the next few years. It will grow to $4.0 billion in 2029 at a compound annual growth rate (CAGR) of 21.4%. Growth during the forecast period can be attributed to increasing obesity and overweight rates, broader screening guidelines in primary care and pediatrics, the acceleration of value-based care and outcome-linked payment models, payer incentives promoting adherence monitoring to prevent complications, and the continued growth of aging populations worldwide. Key trends in the forecast period include deep learning architectures for multi-channel biosignal analysis, explainable artificial intelligence for clinical decision support, federated learning and differential privacy for secure model training, edge computing on devices for real-time event detection, and Internet of Things-enabled sensor networks for nighttime monitoring.

The rising prevalence of sleep disorders is expected to drive the growth of the artificial intelligence (AI)-powered sleep apnea monitoring market in the coming years. Sleep disorders are medical conditions that consistently impact an individual’s ability to achieve quality sleep, including insomnia, sleep apnea, and restless legs syndrome. The increasing occurrence of sleep disorders is largely attributed to excessive screen time before bedtime, as blue light exposure disrupts melatonin production and delays sleep onset. Artificial intelligence (AI)-powered sleep apnea monitoring supports the management of sleep disorders by continuously tracking breathing patterns, oxygen levels, and sleep cycles to detect apnea events in real time, enabling early diagnosis, personalized treatment, and improved sleep quality through remote monitoring. For example, in November 2023, according to the National Health Service, a UK-based government health statistics organization, the percentage of young people aged 17 to 23 experiencing sleep problems three or more times per week rose slightly to 64.9%, up from 64% in 2022. Therefore, the rising prevalence of sleep disorders is contributing to the growth of the artificial intelligence (AI)-powered sleep apnea monitoring market.

Leading companies in the artificial intelligence (AI)-powered sleep apnea monitoring market are focusing on developing advanced at-home sleep examination technologies to enable personalized management of sleep apnea and improve patient outcomes. At-home sleep examination solutions allow individuals to monitor their sleep and breathing patterns from home while gathering real-time physiological data for accurate detection of sleep disorders, reducing the need for frequent clinical visits. For instance, in January 2025, APNEAL, a France-based healthcare technology company, introduced the world’s first AI-powered smartphone application for detecting sleep apnea during CES 2025. The application transforms a standard smartphone into a clinical-grade diagnostic device that analyzes respiratory patterns, heartbeats, and breathing sounds using built-in sensors such as an accelerometer, gyroscope, and microphone. It utilizes advanced artificial intelligence to achieve an accuracy rate of 90% compared with polysomnography, enabling effective at-home sleep apnea screening without requiring specialized equipment or hospital visits.

In July 2024, EnsoData, a US-based artificial intelligence sleep-analysis company, acquired sleep-testing diagnostic technology from Resonea for an undisclosed amount. This acquisition allows EnsoData to integrate acoustic flow and microphone data channels for pre-screening sleep apnea through a cleared mobile application, expanding home sleep-testing capabilities and enhancing integrated pathways from screening to diagnosis and follow-up for large populations. Resonea is a US-based digital health company that offers smartphone-enabled sleep and breathing assessments.

Major players in the artificial intelligence (AI)-powered sleep apnea monitoring market are Koninklijke Philips N.V., ResMed Inc., Nihon Kohden Corporation, Fisher & Paykel Healthcare Corporation Limited, Inspire Medical Systems Inc., Vyaire Medical Inc., BioSerenity, SomnoMed Limited, BMC Medical Co. Ltd., Compumedics Limited, Sibel Health, Sleepiz AG, EnsoData Inc., Onera Health B.V., SleepScore Labs LLC, SleepImage, Beacon Biosignals, Acurable, Wesper, and Hexoskin.

North America was the largest region in the artificial intelligence (AI)-powered sleep apnea monitoring market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-powered sleep apnea monitoring report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The fast surge in U.S. tariffs and the trade tensions that followed in spring 2025 are heavily affecting the medical equipment sector, particularly for imported imaging machine components, surgical-grade stainless steel, and plastic disposables. Hospitals and clinics resist price hikes, pressuring manufacturers’ margins. Regulatory hurdles compound the problem, as tariff-related supplier changes often require re-certification of devices, delaying time-to-market. Companies are mitigating risks by dual-sourcing critical parts, expanding domestic production of commoditized items, and accelerating R&D in cost-efficient materials.

The artificial intelligence (AI)-powered sleep apnea monitoring market research report is one of a series of new reports that provides artificial intelligence (AI)-powered sleep apnea monitoring market statistics, including artificial intelligence (AI)-powered sleep apnea monitoring industry global market size, regional shares, competitors with an artificial intelligence (AI)-powered sleep apnea monitoring market share, detailed artificial intelligence (AI)-powered sleep apnea monitoring market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered sleep apnea monitoring industry. The artificial intelligence (AI)-powered sleep apnea monitoring market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Artificial intelligence (AI)-powered sleep apnea monitoring refers to the application of intelligent algorithms that detect and analyze irregular breathing patterns during sleep in real time. It continuously processes physiological data to identify signs of sleep apnea with high precision. Artificial intelligence (AI)-powered sleep apnea monitoring supports early detection and continuous management, enhancing sleep quality and overall health outcomes.

The primary product categories of artificial intelligence (AI)-powered sleep apnea monitoring include wearable devices, non-wearable devices, and software solutions. Wearable devices are compact, body-worn sensors that continuously track sleep patterns, respiratory activity, and physiological data to detect and analyze sleep apnea events in real time. The technologies utilized include machine learning, deep learning, natural language processing, and others, and these solutions are distributed through both online and offline channels. They are applied across various settings, including home care, hospitals and clinics, sleep centers, and others, with the main end users being adults, pediatrics, and geriatrics.

The countries covered in the artificial intelligence (AI)-powered sleep apnea monitoring market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-powered sleep apnea monitoring market consists of revenues earned by entities by providing services such as algorithm-driven sleep study scoring and triage, continuous remote patient monitoring, adherence and behavioral-coaching programs, tele-sleep consultations and care coordination, and cloud data management and regulatory reporting. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-powered sleep apnea monitoring market also includes sales of artificial intelligence (AI)-enabled home sleep test kits, connected continuous positive airway pressure (CPAP) and bi-level positive airway pressure (BiPAP) devices with embedded analytics, wearable sleep and respiration sensors, connected pulse oximeters, and airflow or nasal pressure monitors. 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.

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