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睡眠障害検出におけるAIの世界市場：2025年～2033年

Global AI in Detecting Sleep Disorders Market - 2025-2033

出版日
ページ情報
英文 159 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
睡眠障害検出におけるAIの世界市場：2025年～2033年
出版日: 2025年03月20日
発行: DataM Intelligence
ページ情報: 英文 159 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 目次
概要

世界の睡眠障害検出におけるAIの市場規模は、2024年に4億8,622万米ドルに達し、2033年には9億8,326万米ドルに達すると予測され、予測期間の2025年～2033年のCAGRは8.2%になると予測されています。

睡眠障害の検出におけるAIとは、機械学習（ML）、深層学習（DL）、データ分析などの人工知能（AI）技術を使用して、さまざまな睡眠障害を監視、診断、治療することを指します。これらの技術は、ウェアラブル、センサー、医療機器、環境要因を通じて収集された大量の睡眠関連データの自動分析に役立ち、ヘルスケア専門家にも個人にも正確でタイムリーな洞察を提供します。AIシステムは、ウェアラブル、アプリ、非接触センサーを通じて睡眠パターンを監視し、睡眠の健康を追跡する非侵襲的な方法を提供することができます。

在宅型睡眠モニタリングへのシフトは、睡眠障害検出におけるAI市場の成長を大きく後押ししており、予測期間中も市場を牽引するとみられます。従来のラボ内での睡眠検査から、よりアクセスしやすく、非侵襲的で、AIを搭載した家庭用モニタリングソリューションへの移行が、大規模な市場成長の道を開いています。ホームベースの睡眠モニタリングにより、病院を受診したり宿泊したりすることなく、個人が睡眠障害を追跡・診断できるようになります。これは、従来の睡眠検査が面倒で、高価で、不便だと感じている人々にとって特に魅力的です。

例えば、2023年9月、Honeynapsは、同社のSOMNUM人工知能（AI）睡眠病分析アルゴリズムがFDAの承認を受けたと発表しました。このソフトウェアは、ディープラーニングベースのAIを活用し、膨大な量の生体信号をリアルタイムで分析します。SOMNUMは、睡眠および呼吸器関連の睡眠障害の診断を支援することを目的としたソフトウェアです。睡眠検査で得られた過去に記録された生理学的データを分析します。このソフトウェアは、睡眠段階、呼吸、覚醒、脚の動きを自動認識します。

在宅ベースの睡眠モニタリングへのシフトは、睡眠障害検出におけるAI市場の成長の主要な促進要因です。利便性、手頃な価格、継続的なモニタリングを重視する消費者は、リアルタイムのデータ追跡、早期発見、遠隔診察を可能にするAI搭載デバイスを受け入れています。この変革は、ウェアラブルや家庭用デバイスの販売増加や遠隔医療市場の成長によって証明されているように、市場の迅速な導入につながり、将来の成長を促進しています。

新興国市場における認知度と導入が限定的であることが、睡眠障害検出におけるAI市場の成長にとって大きな障壁となっています。先進国では高度なAIツールや技術が広く利用可能であるにもかかわらず、新興諸国はこれらのソリューションの採用を妨げるいくつかの課題に直面しています。これらの課題には、睡眠の健康に関する教育の欠如、ヘルスケアインフラへの限られたアクセス、財政的制約などが含まれます。

多くの開発途上地域では、睡眠障害は深刻な健康状態としてまだ広く認識されておらず、理解されていません。このため、睡眠障害検出ツール、特にAIベースのソリューションに対する需要は限られており、個人が自身の睡眠の問題や早期診断の重要性を認識していない可能性があります。例えば、サハラ以南のアフリカや東南アジアのような地域では、多くの人々が、睡眠障害を、医学的介入を必要とする健康状態ではなく、ライフスタイルや加齢による自然な結果であると考えています。

当レポートでは、世界の睡眠障害検出におけるAI市場について調査し、市場の概要とともに、デバイスタイプ別、技術別、用途別、エンドユーザー別、地域別動向、競合情勢、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 市場のイントロダクションと範囲

第2章 エグゼクティブの洞察と重要なポイント

第3章 市場力学

  • 影響要因
    • 促進要因
    • 抑制要因
    • 機会
    • 影響分析

第4章 戦略的洞察と業界の展望

  • 市場のリーダーと先駆者
  • CXOの視点
  • 最新の開発とブレークスルー
  • ケーススタディ/進行中の調査
  • 規制と償還の情勢
  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 特許分析
  • SWOT分析
  • アンメットニーズとギャップ
  • 市場参入と拡大のための推奨戦略
  • シナリオ分析ベストケース、ベースケース、ワーストケースの予測
  • 価格分析と価格動向
  • キーオピニオンリーダー

第5章 睡眠障害検出におけるAI市場、デバイスタイプ別

  • ウェアラブルデバイス
  • 非ウェアラブルデバイス

第6章 睡眠障害検出におけるAI市場、技術別

  • センシング技術
  • コンピューティング技術
  • ディスプレイ技術

第7章 睡眠障害検出におけるAI市場、用途別

  • 閉塞性睡眠時無呼吸
  • 不眠症
  • ナルコレプシー
  • むずむず脚症候群
  • その他

第8章 睡眠障害検出におけるAI市場、エンドユーザー別

  • 病院
  • 在宅ケア
  • 神経センター
  • 研究機関
  • その他

第9章 睡眠障害検出におけるAI市場、地域別市場分析と成長機会

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • スペイン
    • イタリア
    • その他
  • 南米
    • ブラジル
    • アルゼンチン
    • その他
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他
  • 中東・アフリカ

第10章 競合情勢と市場ポジショニング

第11章 企業プロファイル

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

第12章 仮定と調査手法

第13章 付録

目次
Product Code: HCIT9318

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.

AI in detecting sleep disorders refers to the use of artificial intelligence (AI) technologies, such as machine learning (ML), deep learning (DL) and data analytics, to monitor, diagnose and treat various sleep disorders. These technologies help in the automated analysis of large volumes of sleep-related data collected through wearables, sensors, medical devices or environmental factors, providing accurate and timely insights for healthcare professionals and individuals alike. AI systems can monitor sleep patterns through wearables, apps or non-contact sensors, offering a non-invasive way to track sleep health.

Market Dynamics: Drivers & Restraints

Shift Towards Home-Based Sleep Monitoring

The shift towards home-based sleep monitoring is significantly driving the growth of the AI in detecting sleep disorders market and is expected to drive the market over the forecast period. This transition from traditional in-lab sleep studies to more accessible, non-invasive, and AI-powered home monitoring solutions has paved the way for massive market growth. Home-based sleep monitoring allows individuals to track and diagnose sleep disorders without the need for a hospital visit or overnight stay. This is particularly appealing for people who find traditional sleep studies cumbersome, expensive or inconvenient.

For instance, in September 2023, Honeynaps announced that its SOMNUM artificial intelligence (AI) sleep disease analysis algorithm received FDA approval. The software leverages deep learning-based AI to perform real-time analysis of vast volumes of biosignals. SOMNUM is software intended to aid in the diagnosis of sleep and respiratory-related sleep disorders. It analyses previously recorded physiological data obtained during sleep studies. The software automates recognition of sleep stage, respiratory, arousal and leg movement events.

The shift towards home-based sleep monitoring is a key driver for the growth of the AI in detecting sleep disorders market. With a focus on convenience, affordability and continuous monitoring, consumers are embracing AI-powered devices that allow for real-time data tracking, early detection and remote consultations. This transformation is leading to faster market adoption and driving future growth, as evidenced by increasing sales of wearables and home devices and the growing telemedicine market.

Limited Awareness and Adoption in Developing Regions

The limited awareness and adoption in developing regions is a significant barrier to the growth of AI in detecting sleep disorders market. Despite the widespread availability of advanced AI tools and technologies in developed countries, developing regions face several challenges that hinder the adoption of these solutions. These challenges include a lack of education about sleep health, limited access to healthcare infrastructure and financial constraints.

In many developing regions, sleep disorders are still not widely recognized or understood as serious health conditions. This results in limited demand for sleep disorder detection tools, particularly AI-based solutions, as individuals may not be aware of their own sleep issues or the importance of early diagnosis. For instance, in regions like Sub-Saharan Africa and Southeast Asia, many people still consider sleep disorders as a natural consequence of lifestyle or aging, rather than a health condition that requires medical intervention.

Segment Analysis

The global AI in detecting sleep disorders market is segmented based on device type, technology, application, end-user and region.

Application:

The insomnia from application segment is expected to dominate the AI in detecting sleep disorders market with the highest market share

Many people with insomnia seek non-drug-based treatments due to concerns about the side effects of sleeping pills. AI-driven solutions like Cognitive Behavioral Therapy for Insomnia (CBT-I), which has proven highly effective, are gaining popularity. These treatments, when supported by AI, provide personalized, scalable and easily accessible interventions.

For instance, Sleepio, an AI-powered digital platform, offers CBT-I therapy that is accessible from home. The app analyzes sleep data and provides personalized cognitive and behavioral strategies to help users overcome insomnia. The success of this solution has spurred the development of more AI-based insomnia treatment platforms.

Additionally, AI has the ability to provide personalized sleep insights by analyzing individual sleep patterns, lifestyle data, and other factors that affect sleep. This level of customization is especially beneficial for insomnia patients, as AI tools can recommend tailored sleep schedules, relaxation techniques and environmental adjustments that are specific to each person's needs.

For instance, Oura Ring, a wearable that uses AI to track various physiological metrics, provides users with detailed insights into their sleep stages, including REM sleep and deep sleep. It also offers personalized recommendations for improving sleep quality based on individual data, making it a popular choice for people dealing with insomnia.

Geographical Analysis

North America is expected to hold a significant position in the AI in detecting sleep disorders market with the highest market share

Sleep disorders, especially insomnia and sleep apnea, are highly prevalent in North America, leading to a strong demand for innovative AI solutions that can help diagnose and manage these conditions. The increasing awareness about the consequences of poor sleep on overall health has prompted both consumers and healthcare providers to adopt AI-based solutions. For instance, according to the Psychiatry Organization, an estimated 34 percent of Americans report their sleep quality as "poor" or "only fair." More than 50 million Americans have chronic sleep disorders.

AI allows for personalized sleep treatments that are customized to an individual's sleep patterns and health needs. North American consumers have a growing preference for tailored health solutions, and AI in sleep disorder detection is well-suited to meet this demand by offering personalized feedback, sleep management techniques, and even adjustments to environmental factors like room temperature, lighting, and noise levels.

For instance, Endel, a company offering AI-generated soundscapes, provides personalized audio tracks to improve sleep quality, reduce anxiety and enhance relaxation. These AI-driven solutions contribute to the growing trend of personalized sleep management.

Competitive Landscape

The major global players in the AI in detecting sleep disorders market include Fullpower Technologies, Inc., Apple Inc., Endel, BigHealth, dbbeats, Dr.BreathE, Neybox Digital Ltd., SleepUp Limited, Calm.com, Inc., Sleep Cycle AB and among others.

Why Purchase the Report?

  • Pipeline & Innovations: Reviews ongoing clinical trials, product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
  • Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
  • Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
  • Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
  • Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
  • Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
  • Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
  • Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
  • Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
  • Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
  • Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
  • Post-market Surveillance: Uses post-market data to enhance product safety and access.
  • Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global AI in detecting sleep disorders market report delivers a detailed analysis with 70 key tables, more than 65 visually impactful figures and 159 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2024

  • Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
  • Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
  • Technology & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
  • Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
  • Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
  • Supply Chain: Distribution and Supply Chain Managers.
  • Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
  • Academic & Research: Academic Institutions.

Table of Contents

1. Market Introduction and Scope

  • 1.1. Objectives of the Report
  • 1.2. Report Coverage & Definitions
  • 1.3. Report Scope

2. Executive Insights and Key Takeaways

  • 2.1. Market Highlights and Strategic Takeaways
  • 2.2. Key Trends and Future Projections
  • 2.3. Snippet by Device Type
  • 2.4. Snippet by Technology
  • 2.5. Snippet by Application
  • 2.6. Snippet by End-User
  • 2.7. Snippet by Region

3. Dynamics

  • 3.1. Impacting Factors
    • 3.1.1. Drivers
      • 3.1.1.1. Rising Prevalence of Sleep Disorders
      • 3.1.1.2. Shift Towards Home-Based Sleep Monitoring
    • 3.1.2. Restraints
      • 3.1.2.1. Limited Awareness and Adoption in Developing Regions
      • 3.1.2.2. Data Privacy and Security Concerns
    • 3.1.3. Opportunity
      • 3.1.3.1. Expansion of AI-Powered Home Sleep Diagnostics
    • 3.1.4. Impact Analysis

4. Strategic Insights and Industry Outlook

  • 4.1. Market Leaders and Pioneers
    • 4.1.1. Emerging Pioneers and Prominent Players
    • 4.1.2. Established leaders with largest selling Brand
    • 4.1.3. Market leaders with established Product
  • 4.2. CXO Perspectives
  • 4.3. Latest Developments and Breakthroughs
  • 4.4. Case Studies/Ongoing Research
  • 4.5. Regulatory and Reimbursement Landscape
    • 4.5.1. North America
    • 4.5.2. Europe
    • 4.5.3. Asia Pacific
    • 4.5.4. Latin America
    • 4.5.5. Middle East & Africa
  • 4.6. Porter's Five Force Analysis
  • 4.7. Supply Chain Analysis
  • 4.8. Patent Analysis
  • 4.9. SWOT Analysis
  • 4.10. Unmet Needs and Gaps
  • 4.11. Recommended Strategies for Market Entry and Expansion
  • 4.12. Scenario Analysis: Best-Case, Base-Case, and Worst-Case Forecasts
  • 4.13. Pricing Analysis and Price Dynamics
  • 4.14. Key Opinion Leaders

5. AI in Detecting Sleep Disorders Market, By Device Type

  • 5.1. Introduction
    • 5.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Device Type
    • 5.1.2. Market Attractiveness Index, By Device Type
  • 5.2. Wearable Devices*
    • 5.2.1. Introduction
    • 5.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 5.3. Non-Wearable Devices

6. AI in Detecting Sleep Disorders Market, By Technology

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 6.1.2. Market Attractiveness Index, By Technology
  • 6.2. Sensing Technology*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Computing Technology
  • 6.4. Display Technology

7. AI in Detecting Sleep Disorders Market, By Application

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 7.1.2. Market Attractiveness Index, By Application
  • 7.2. Obstructive Sleep Apnea*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Insomnia
  • 7.4. Narcolepsy
  • 7.5. Restless Leg Syndrome
  • 7.6. Others

8. AI in Detecting Sleep Disorders Market, By End-User

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 8.1.2. Market Attractiveness Index, By End-User
  • 8.2. Hospitals*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Homecare Settings
  • 8.4. Neurological Centers
  • 8.5. Research Institutions
  • 8.6. Others

9. AI in Detecting Sleep Disorders Market, By Regional Market Analysis and Growth Opportunities

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 9.1.2. Market Attractiveness Index, By Region
  • 9.2. North America
    • 9.2.1. Introduction
    • 9.2.2. Key Region-Specific Dynamics
    • 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Device Type
    • 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.2.7.1. U.S.
      • 9.2.7.2. Canada
      • 9.2.7.3. Mexico
  • 9.3. Europe
    • 9.3.1. Introduction
    • 9.3.2. Key Region-Specific Dynamics
    • 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Device Type
    • 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.3.7.1. Germany
      • 9.3.7.2. U.K.
      • 9.3.7.3. France
      • 9.3.7.4. Spain
      • 9.3.7.5. Italy
      • 9.3.7.6. Rest of Europe
  • 9.4. South America
    • 9.4.1. Introduction
    • 9.4.2. Key Region-Specific Dynamics
    • 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Device Type
    • 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.4.7.1. Brazil
      • 9.4.7.2. Argentina
      • 9.4.7.3. Rest of South America
  • 9.5. Asia-Pacific
    • 9.5.1. Introduction
    • 9.5.2. Key Region-Specific Dynamics
    • 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Device Type
    • 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.5.7.1. China
      • 9.5.7.2. India
      • 9.5.7.3. Japan
      • 9.5.7.4. South Korea
      • 9.5.7.5. Rest of Asia-Pacific
  • 9.6. Middle East and Africa
    • 9.6.1. Introduction
    • 9.6.2. Key Region-Specific Dynamics
    • 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Device Type
    • 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

10. Competitive Landscape and Market Positioning

  • 10.1. Competitive Overview and Key Market Players
  • 10.2. Market Share Analysis and Positioning Matrix
  • 10.3. Strategic Partnerships, Mergers & Acquisitions
  • 10.4. Key Developments in Product Portfolios and Innovations
  • 10.5. Company Benchmarking

11. Company Profiles

  • 11.1. Fullpower Technologies, Inc.*
    • 11.1.1. Company Overview
    • 11.1.2. Product Portfolio
      • 11.1.2.1. Product Description
      • 11.1.2.2. Product Key Performance Indicators (KPIs)
      • 11.1.2.3. Historic and Forecasted Product Sales
      • 11.1.2.4. Product Sales Volume
    • 11.1.3. Financial Overview
      • 11.1.3.1. Company Revenue's
      • 11.1.3.2. Geographical Revenue Shares
      • 11.1.3.3. Revenue Forecasts
    • 11.1.4. Key Developments
      • 11.1.4.1. Mergers & Acquisitions
      • 11.1.4.2. Key Product Development Activities
      • 11.1.4.3. Regulatory Approvals, etc.
    • 11.1.5. SWOT Analysis
  • 11.2. Apple Inc.
  • 11.3. Endel
  • 11.4. BigHealth
  • 11.5. dbbeats
  • 11.6. Dr.BreathE
  • 11.7. Neybox Digital Ltd.
  • 11.8. SleepUp Limited
  • 11.9. Calm.com, Inc.
  • 11.10. Sleep Cycle AB

LIST NOT EXHAUSTIVE

12. Assumption and Research Methodology

  • 12.1. Data Collection Methods
  • 12.2. Data Triangulation
  • 12.3. Forecasting Techniques
  • 12.4. Data Verification and Validation

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us