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AI搭載医療機器の世界市場（2025年～2033年）

Global AI-Powered Medical Devices Market - 2025-2033

出版日
ページ情報
英文 176 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=146.82円
AI搭載医療機器の世界市場（2025年～2033年）
出版日: 2024年12月30日
発行: DataM Intelligence
ページ情報: 英文 176 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

AI搭載医療機器の世界市場は2023年に257億米ドルに達し、2033年には848億米ドルに達すると予測され、予測期間2025年のCAGRは12.9%で成長する見込みです。

AI搭載医療機器は、機械学習、深層学習、自然言語処理などのAI技術を活用し、医療診断、治療、患者モニタリングを改善することで、ヘルスケアに革命をもたらしています。これらのデバイスは膨大なデータを分析し、リアルタイムの洞察を提供し、複雑なタスクを自動化し、効率と患者の転帰を向上させる。高度な画像システムから継続的な健康モニタリングのためのウェアラブルデバイスまで、AI搭載医療機器は個別化医療と予防医療を再形成し、病院のワークフローを最適化し、医療の新時代を推進し、より迅速な意思決定とより効果的な治療戦略を可能にします。

市場力学：

促進要因と抑制要因

個別化医療と精密医療に対する需要の高まり

世界のAI搭載医療機器市場は、患者ケアに革命をもたらす個別化医療と精密医療に対する需要の高まりによって牽引されています。人工知能技術の進歩により、医療提供者は遺伝子情報、病歴、ライフスタイル要因、リアルタイムの健康指標を含む膨大なデータセットを分析し、高度にカスタマイズされた治療計画を提供することができます。ウェアラブル医療機器に統合されたAIアルゴリズムは、患者の健康パラメータを継続的に監視し、潜在的な問題が深刻化する前に臨床医に警告を発し、画像診断の診断精度を向上させることができます。これらの機能は患者の転帰を向上させるだけでなく、不必要な検査や入院を減らすことで資源配分を最適化します。

慢性疾患と高齢化が世界的に進むにつれ、正確で先を見越したケアの必要性がますます高まっています。北米や欧州などの地域では、ヘルスケア政策やインセンティブがAI主導型ソリューションの採用を後押ししています。精密医療の採用が進むにつれて、AI搭載医療機器の日常的なヘルスケアへの統合が加速し、市場の大幅な拡大が見込まれます。

例えば、2024年5月、OM1は、個別化医療と臨床研究のための人工知能を搭載したデジタルフェノタイピングプラットフォームであるPhenOMTMを搭載した3つの新製品、OM1 Orion、OM1 Lyra、OM1 Polarisを発売しました。これらの製品は、高度な予測・生成AIプラットフォームと深い臨床データを活用し、ヘルスケア関係者に力を与えます。

ヘルスケアにおけるAI統合に伴う規制・倫理課題

世界のAI搭載医療機器市場は、AIの進化する性質により、規制および倫理的課題に直面しています。FDAやEMAなどの規制機関は、高度なAI技術を承認するための厳格なプロセスを確立しています。しかし、AIの動的な性質は、これらのデバイスを静的な基準で評価することを困難にし、製品開発の不確実性と潜在的な遅れにつながります。AIを搭載した機器は膨大な量の患者データに依存しているため、データの収集、保存、使用に関する懸念が生じる。AIアルゴリズムに偏りが生じるリスクは、不正確な結果や不公平な結果につながる可能性があります。これらの問題に対処するためには、ヘルスケアプロバイダー、テクノロジー開発者、政策立案者の協力が必要だが、普遍的に受け入れられる標準の確立は遅々として進んでいないです。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 個別化医療と精密医療の需要増加
    • 抑制要因
      • ヘルスケアにおけるAI統合に関連する規制と倫理上の課題
    • 機会
    • 影響分析

第5章 産業分析

  • 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
  • 価格分析
  • 規制分析

第6章 製品タイプ別

  • ハードウェア
  • ソフトウェア
  • サービス

第7章 技術別

  • 機械学習
  • ディープラーニング
  • 自然言語処理（NLP）
  • コンピュータビジョン
  • 予測分析

第8章 用途別

  • 創薬
  • バーチャル看護アシスタント
  • 救急室と外科
  • ヘルスケア支援ロボット
  • 医療画像診断
  • その他

第9章 エンドユーザー別

  • 病院・クリニック
  • 診断センター
  • 調査機関
  • 外来手術センター（ASC）
  • 在宅ケア

第10章 地域別

  • 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
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋
  • 中東・アフリカ

第11章 競合情勢

  • 競合シナリオ
  • 市況・シェア分析
  • M&A分析

第12章 企業プロファイル

  • Stryker Corporation
    • 会社概要
    • 製品ポートフォリオと概要
    • 財務概要
    • 主な発展
  • Medtronic
  • GE Healthcare
  • Philips Healthcare
  • Siemens Healthineers
  • Johnson & Johnson
  • Micron Technology Inc
  • Nvidia Corporation
  • Caption Health
  • Augmedix, Inc

第12章 付録

目次
Product Code: MD8898

The global AI-powered medical devices market reached US$ 25.7 billion in 2023 and is expected to reach US$ 84.8 billion by 2033, growing at a CAGR of 12.9% during the forecast period 2025-2033.

AI-powered medical devices are revolutionizing healthcare by utilizing AI technologies like machine learning, deep learning, and natural language processing to improve medical diagnosis, treatment, and patient monitoring. These devices analyze vast data, provide real-time insights, and automate complex tasks, enhancing efficiency and patient outcomes. From advanced imaging systems to wearable devices for continuous health monitoring, AI-powered medical devices are reshaping personalized and preventive care, optimizing hospital workflows, and driving a new era in medicine, enabling faster decision-making and more effective treatment strategies.

Market Dynamics: Drivers & Restraints

Increasing Demand For Personalized and Precision Medicine

The global AI-powered medical devices market is driven by the growing demand for personalized and precision medicine, which is revolutionizing patient care. Advancements in artificial intelligence technologies enable healthcare providers to analyze vast datasets, including genetic information, medical history, lifestyle factors, and real-time health metrics, to deliver highly customized treatment plans. AI algorithms integrated into wearable medical devices can monitor a patient's health parameters continuously, alert clinicians about potential issues before they become critical, and improve diagnostic accuracy in diagnostic imaging. These capabilities not only enhance patient outcomes but also optimize resource allocation by reducing unnecessary tests and hospitalizations.

As chronic diseases and aging populations rise globally, the need for precise and proactive care becomes increasingly critical. Healthcare policies and incentives in regions like North America and Europe encourage the adoption of AI-driven solutions. As the adoption of precision medicine grows, the integration of AI-powered medical devices into routine healthcare practices is expected to accelerate, driving market expansion significantly.

For instance, in May 2024, OM1 has launched three new products, OM1 Orion, OM1 Lyra, and OM1 Polaris, powered by PhenOMTM, an artificial intelligence-powered digital phenotyping platform for personalized medicine and clinical research. These products leverage advanced predictive and generative AI platforms and deep clinical data to empower healthcare stakeholders.

Regulatory and Ethical Challenges Associated with AI Integration in Healthcare

The global AI-powered medical devices market faces regulatory and ethical challenges due to the evolving nature of AI. Regulatory bodies like the FDA and EMA have established rigorous processes for approving advanced AI technologies. However, the dynamic nature of AI makes it difficult to evaluate these devices under static standards, leading to uncertainty and potential delays in product development. Ethical concerns around data privacy and security further complicate the situation, as AI-powered devices rely on vast amounts of patient data, raising concerns about data collection, storage, and usage. The risk of bias in AI algorithms can lead to inaccurate or inequitable outcomes. Collaboration between healthcare providers, technology developers, and policymakers is needed to address these issues, but progress in establishing universally accepted standards has been slow.

Segment Analysis

The global AI-powered medical devices market is segmented based on product type, technology application, end user and region.

Product type:

Hardware segment is expected to dominate the AI-powered medical devices market share

The hardware segment holds a major portion of the AI-powered medical devices market share and is expected to continue to hold a significant portion of the AI-powered medical devices market share during the forecast period.

The global AI-powered medical devices market relies heavily on hardware, including processors, sensors, and accelerators, for high-speed data processing and computational power. GPUs and TPUs are commonly used in AI-powered medical imaging devices for real-time image analysis and pattern recognition. Specialized sensors in wearable medical devices collect vital patient data, which AI systems analyze for actionable insights. Edge computing hardware integrates with these devices, allowing local data processing without cloud computing, ensuring faster responses and improved data security. The development of compact, energy-efficient hardware has made medical devices more portable and accessible for clinical and homecare settings. As AI-powered medical devices become more sophisticated, advancements in hardware technology will continue to drive their performance, scalability, and adoption across diverse healthcare applications.

For instance, in July 2024, Insilico has introduced PandaOmics Box, an AI-powered hardware platform for on-premise drug discovery and personalized medicine research. The platform aims to streamline the process of developing innovative medicines, which typically takes at least a decade and billions of dollars. Identifying effective targets and conducting biological analysis is a top priority in drug development.

Application:

Drug Discovery segment is the fastest-growing segment in AI-powered medical devices market share

The drug discovery segment is the fastest-growing segment in the AI-powered medical devices market share and is expected to hold the market share over the forecast period.

Drug discovery is a key driver in the AI-powered medical devices market, as it streamlines the traditional process of drug development. Advanced AI-powered devices can analyze large datasets, including genomic information, chemical compound libraries, and clinical trial results, to identify potential drug candidates more efficiently. These devices help researchers pinpoint molecular targets, predict drug efficacy, and identify side effects early in the development cycle, reducing the time required for new drugs to market. AI-driven systems also enable personalized medicine by integrating patient-specific data, allowing for drug design tailored to individual genetic profiles and disease conditions. This synergy between AI and drug development is increasingly recognized by pharmaceutical companies and healthcare providers, positioning drug discovery as a critical driver in the growth of the AI-powered medical devices market.

For instance, in December 2023, Merck has launched AIDDISON drug discovery software, the first software-as-a-service platform that integrates virtual molecule design and real-world manufacturability through SynthiaTM retrosynthesis software application programing interface (API). The platform combines generative AI, machine learning, and computer-aided drug-design to speed up drug development.

Geographical Analysis

North America is expected to hold a significant position in the AI-powered medical devices market share

North America holds a substantial position in the AI-powered medical devices market and is expected to hold most of the market share due to its robust healthcare infrastructure, advanced technologies, and supportive regulatory frameworks. Major players like Medtronic, GE Healthcare, and IBM Watson Health are leading the way in integrating AI into medical devices. The region's high adoption rate, research funding, and government initiatives like FDA's streamlined approval processes accelerate market growth. The increasing prevalence of chronic diseases and geriatric population also drive demand for AI-driven diagnostic and monitoring solutions.

For instance, in November 2024, Canon Medical USA is launching its latest AI-powered MRI system, the Vantage Galan 3T/Supreme Edition, at the Radiological Society of North America (RSNA) 2024 conference in Chicago. The system, which has been released in other territories, features no third-party components and a Japan-made magnet, providing an expanded field of view.

Moreover, in August 2024, The U.S. Department of Health and Human Services has allocated $1.5 Billion to the Advanced Research Projects Agency for Health (ARPA-H) to enhance the reliability and usability of artificial intelligence-enabled medical devices. The funding is part of the Performance and Reliability Evaluation for Continuous Modifications and Useability of Artificial Intelligence (PRECISE-AI) initiative, which aims to improve the use and maintenance of AI tools in clinical settings.

Europe is growing at the fastest pace in the AI-powered medical devices market

Europe holds the fastest pace in the AI-powered medical devices market and is expected to hold most of the market share due to its focus on innovation, research collaborations, and high healthcare quality standards. Countries like Germany, the UK, and France have invested heavily in AI research, particularly in medical imaging and robotics. The European Union's Horizon Europe program supports AI adoption through funding and partnerships. The aging population and increasing healthcare burden in Europe also drive demand for efficient diagnostic and therapeutic solutions. Regulatory advancements like the EU Medical Device Regulation promote innovation in AI-based solutions. Both public and private healthcare systems are incorporating AI to reduce costs and improve efficiency.

For instance, in October 2024, Olympus Europe has approved its cloud-AI endoscopy medical devices, CADDIE, CADU, and SMARTIBD, as CE-marked in Europe under the Medical Device Regulation (MDR). This marks a significant milestone in Olympus' efforts to improve clinical outcomes and operational efficiency in endoscopy. Olympus, a market leader in capital equipment for endoscopy, aims to enhance its hardware portfolio with cloud-based AI capabilities. The company's vision is to create an Intelligent Endoscopy Ecosystem that connects hardware, software, services, and data to address healthcare challenges, particularly in endoscopy.

Moreover, in December 2024, The Medicines and Healthcare products Regulatory Agency (MHRA) has chosen five AI-powered medical devices for its new AI Airlock pilot scheme. The initiative aims to streamline the regulation of AI-based medical technologies, ensuring quicker and safer access for NHS patients. The selected technologies include those for cancer, chronic respiratory disease, and radiology. The AI Airlock serves as a regulatory "sandbox," allowing manufacturers to test evidence collection strategies under MHRA guidance in a controlled virtual environment.

Competitive Landscape

The major global players in the AI-powered medical devices market include Stryker Corporation, Medtronic, GE Healthcare, Philips Healthcare, Siemens Healthineers, Johnson & Johnson, Micron Technology Inc, Nvidia Corporation, Caption Health, Augmedix, Inc among others.

Emerging Players

The emerging players in the AI-powered medical devices market include Zebra Medical Vision, Aidoc, Butterfly Network, HeartFlow, Viz.ai and among others.

Key Developments

  • In November 2024, GE HealthCare has launched an AI Innovation Lab to accelerate early-concept AI solutions. The lab is part of GE HealthCare's broader AI and digital strategy, which focuses on integrating AI into medical devices, building AI applications for decision-making, and using AI for better outcomes and operational efficiencies. The company's investment in cloud technology supports this strategy.
  • In November 2023, Meihua International Medical Technologies Co. (MHUA), a Chinese manufacturer and provider of disposable medical devices, launched Speed Fox, an AI-powered warehouse management and logistics platform. Developed in collaboration with a Chinese higher education institution, MHUA aims to diversify its business and revolutionize medical device logistics.

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-powered medical devices market report delivers a detailed analysis with 60+ key tables, more than 50 visually impactful figures, and 176 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2023

  • Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
  • Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
  • Component & 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. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Product Type
  • 3.2. Snippet by Technology
  • 3.3. Snippet by Application
  • 3.4. Snippet by End User
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Increasing Demand for Personalized and Precision Medicine
    • 4.1.2. Restraints
      • 4.1.2.1. Regulatory and Ethical Challenges Associated with AI Integration in Healthcare
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. By Product type

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product type
    • 6.1.2. Market Attractiveness Index, By Product type
  • 6.2. Hardware*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Software
  • 6.4. Services

7. By Technology

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 7.1.2. Market Attractiveness Index, By Technology
  • 7.2. Machine Learning*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Deep Learning
  • 7.4. Natural Language Processing (NLP)
  • 7.5. Computer Vision
  • 7.6. Predictive Analytics

8. By Application

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 8.1.2. Market Attractiveness Index, By Application
  • 8.2. Drug Discovery*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Virtual Nursing Assistants
  • 8.4. Emergency Room & Surgery
  • 8.5. Healthcare Assistance Robots
  • 8.6. Medical Imaging & Diagnostics
  • 8.7. Others

9. By End User

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 9.1.2. Market Attractiveness Index, By End User
  • 9.2. Hospitals & Clinics*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Diagnostic Centers
  • 9.4. Research Institutes
  • 9.5. Ambulatory Surgical Centers (ASCs)
  • 9.6. Homecare Settings

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.7.1. U.S.
      • 10.2.7.2. Canada
      • 10.2.7.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.7.1. Germany
      • 10.3.7.2. U.K.
      • 10.3.7.3. France
      • 10.3.7.4. Spain
      • 10.3.7.5. Italy
      • 10.3.7.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.7.1. Brazil
      • 10.4.7.2. Argentina
      • 10.4.7.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.7.1. China
      • 10.5.7.2. India
      • 10.5.7.3. Japan
      • 10.5.7.4. South Korea
      • 10.5.7.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. Stryker Corporation*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Medtronic
  • 12.3. GE Healthcare
  • 12.4. Philips Healthcare
  • 12.5. Siemens Healthineers
  • 12.6. Johnson & Johnson
  • 12.7. Micron Technology Inc
  • 12.8. Nvidia Corporation
  • 12.9. Caption Health
  • 12.10. Augmedix, Inc

LIST NOT EXHAUSTIVE

12. Appendix

  • 12.1 About Us and Services
  • 12.2 Contact Us