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医療機器における人工知能の世界市場-2024～2031年

Global Artificial Intelligence in Medical Devices Market - 2024-2031

出版日
ページ情報
英文 183 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
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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
医療機器における人工知能の世界市場-2024～2031年
出版日: 2024年12月04日
発行: DataM Intelligence
ページ情報: 英文 183 Pages
納期: 即日から翌営業日
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  • 目次
概要

概要

医療機器における人工知能の世界市場は、2023年に215億米ドルに達し、2031年には2,289億8,000万米ドルに達すると予測され、予測期間2024年～2031年のCAGRは34.7%で成長すると予測されています。

医療機器における人工知能イノベーションを促進し、効率を高めることによって業界を変革します。その用途は、データ管理や診断支援から、患者体験の向上や規制遵守の確保まで多岐にわたる。AIはヘルスケアの将来において重要な役割を担う。業界が進歩するにつれ、AIの変革能力は間違いなく次世代の医療機器の開発に影響を与え、ヘルスケアをより効率的で、利用しやすく、効果的なものにするでしょう。

AI技術、特に機械学習アルゴリズムは、精度を高めるために診断ツールへの統合が進んでいます。例えば、AIはX線、MRI、CTスキャンなどの医療画像を従来の方法よりも迅速かつ正確に解析することができます。この能力は、ヘルスケアにおける大きな懸念事項である誤診率を低下させるのに役立ちます。このような要因が、世界の医療機器における人工知能市場拡大の原動力となっています。

エグゼクティブサマリー

市場力学：

促進要因と阻害要因

医療機器におけるAIの統合

医療機器における人工知能の統合は、医療機器における世界の人工知能市場の成長を大きく後押ししており、市場予測期間を通じて牽引していくと予想されます。

人工知能（AI）は、革新的なソリューションを導入し、様々なヘルスケアアプリケーションにおける業務効率を改善することで、医療機器業界を大きく変革しています。

医療機器における人工知能（AI）の統合には、機械学習、深層学習、自然言語処理、コンピュータビジョンなどの先進技術を医療ツールや機器に組み込むことが含まれます。この統合により、これらの機器は複雑な医療データを分析し、医療専門家が情報に基づいた意思決定を行うのを支援し、臨床環境内のさまざまなプロセスを自動化することが可能になります。これらすべての要因が、世界の医療機器における人工知能市場を牽引しています。

さらに、パートナーシップやコラボレーション、革新的な製品発売、製品承認などの業界戦略の主要企業が、医療機器における人工知能の世界市場を牽引しています。例えば、2023年3月、エヌビディアは、ヘルスケアシステムへの人工知能（AI）の統合を加速し、新しいAIベースのソリューションを通じて患者ケアを強化するため、世界最大のヘルスケア技術プロバイダーであるメドトロニックとの提携を発表しました。この提携は、コスモ・ファーマシューティカルズが開発・製造するメドトロニックのインテリジェント内視鏡モジュール「GI Genius」に、エヌビディアの先進ヘルスケア技術とエッジAI技術を組み込むことを目的としています。

同様に、GEヘルスケアは2024年11月、初期段階の人工知能（AI）ソリューションの開発を加速させることを目的とした新しいAIイノベーションラボを立ち上げました。この取り組みは、AIを医療機器に統合し、ヘルスケア・ジャーニー全体を通じて意思決定を強化するアプリケーションを開発し、AIを活用して医療システム全体の転帰と業務効率を向上させるという、同社の広範な戦略の一環です。これらすべての要因が、世界の医療機器における人工知能市場に需要をもたらしています。

さらに、遠隔医療サービスの採用が増加していることも、世界の医療機器における人工知能市場の拡大に寄与しています。

厳しい規制当局の承認

厳しい規制当局の承認は、医療機器における人工知能の世界の成長を妨げます。人工知能（AI）を組み込んだ医療機器の規制環境はかなり複雑で、医療機器における人工知能市場への新製品のタイムリーなイントロダクションを妨げる可能性があります。

AI対応医療機器の規制は複雑で、地域によって大きく異なります。例えば、米国のFDAや英国のMHRAのような規制機関は、これらの機器の安全性、有効性、コンプライアンスを管理する明確な枠組みを持っています。このような複雑さは、製品開発や市場参入の遅れにつながる可能性があります。

2024年のScienceDirectの調査発表によると、ヘルスケアにおける様々な用途のために数多くの生成的・非生成的AIツールが開発されており、多くの医療機器メーカーがAIや機械学習（ML）を活用して製品を革新しています。AIツールを規制することは、ヘルスケアへのこれらの技術の安全かつ効果的な統合を促進するだけでなく、社会的信頼も醸成します。

規制当局は、AIとその開発、展開、ヘルスケアにおけるモニタリングに関連する課題について、しっかりと理解していなければならないです。したがって、上記の要因が世界の医療機器における人工知能市場の潜在的な成長を制限している可能性があります。

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
      • 医療機器へのAIの統合
    • 抑制要因
      • 厳格な規制承認
    • 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
  • その他

第8章 用途別

  • 放射線科
  • 心臓病学
  • 血液学
  • 腫瘍学
  • 整形外科画像診断
  • その他

第9章 エンドユーザー別

  • 病院・ヘルスケア提供者
  • 製薬・バイオテクノロジー企業
  • ヘルスケア支払者
  • その他

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
    • その他欧州地域
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 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

  • GE HealthCare.
    • 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
  • Siemens Healthineers AG
  • NVIDIA Corporation
  • Koninklijke Philips N.V.
  • Canon Medical Systems, USA, Inc.
  • Aidoc
  • IBM
  • Apple Inc.
  • Google DeepMind
  • HYPERFINE, INC.,
  • Clarius

第13章 付録

目次
Product Code: MD8791

Overview

The global artificial intelligence in medical devices market reached US$ 21.50 billion in 2023 and is expected to reach US$ 228.98 billion by 2031, growing at a CAGR of 34.7% during the forecast period 2024-2031.

Artificial intelligence in medical devices transforming the industry by fostering innovation and enhancing efficiency. Its applications range from data management and diagnostic support to improving patient experiences and ensuring regulatory compliance. AI is poised to be a key player in the future of healthcare. As the industry progresses, the transformative capabilities of AI will undoubtedly influence the development of the next generation of medical devices, making healthcare more efficient, accessible, and effective.

AI technologies, particularly machine learning algorithms, are increasingly being integrated into diagnostic tools to boost accuracy. For instance, AI can analyze medical images such as X-rays, MRIs, and CT scans more swiftly and accurately than traditional methods. This capability helps to lower the rates of misdiagnosis, which is a major concern in healthcare. These factors have driven the global artificial intelligence in medical devices market expansion.

Executive Summary

Market Dynamics: Drivers & Restraints

Integration of AI in Medical Devices

The integration of artificial intelligence in medical devices is significantly driving the growth of global artificial intelligence in the medical devices market and is expected to drive throughout the market forecast period.

Artificial intelligence (AI) is significantly transforming the medical devices industry by introducing innovative solutions and improving operational efficiency across various healthcare applications.

The integration of artificial intelligence (AI) in medical devices involves incorporating advanced technologies such as machine learning, deep learning, natural language processing, and computer vision into medical tools and equipment. This integration enables these devices to analyze complex medical data, assist healthcare professionals in making informed decisions, and automate various processes within clinical environments. All these factors drive global artificial intelligence in medical devices market.

Furthermore, key players in the industry strategies such as partnerships & collaborations, innovative launches, and product approvals would drive this global artificial intelligence in medical devices market. For instance, in March 2023, NVIDIA announced a collaboration with Medtronic, the world's largest healthcare technology provider, to accelerate the integration of artificial intelligence (AI) into the healthcare system and enhance patient care through new AI-based solutions. This partnership aims to incorporate NVIDIA's advanced healthcare and edge AI technologies into Medtronic's GI Genius intelligent endoscopy module, which is developed and manufactured by Cosmo Pharmaceuticals.

Similarly, in November 2024, GE HealthCare launched a new AI Innovation Lab aimed at accelerating the development of early-stage artificial intelligence (AI) solutions. This initiative is part of the company's broader strategy to integrate AI into medical devices, create applications that enhance decision-making throughout the healthcare journey, and leverage AI to improve outcomes and operational efficiencies across the healthcare system. All these factors demand global artificial intelligence in medical devices market.

Moreover, the rising adoption of telehealth services contributes to the global artificial intelligence in medical devices market expansion.

Stringent Regulatory Approvals

The stringent regulatory approvals will hinder the growth of global artificial intelligence in medical devices. The regulatory environment for medical devices that incorporate artificial intelligence (AI) presents considerable complexities that can hinder the timely introduction of new products to artificial intelligence in medical devices market.

The regulation of AI-enabled medical devices is intricate and varies significantly across different regions. For instance, regulatory bodies like the FDA in the United States and the MHRA in the UK have distinct frameworks governing the safety, efficacy, and compliance of these devices. This complexity can lead to delays in product development and artificial intelligence in medical devices market entry.

According to a ScienceDirect research publication in 2024, numerous generative and non-generative AI tools have been developed for various applications in healthcare, with many medical device manufacturers leveraging AI and machine learning (ML) to innovate their products. Regulating AI tools not only facilitates the safe and effective integration of these technologies into healthcare but also fosters public trust.

Regulators must possess a solid understanding of AI and the challenges associated with its development, deployment, and monitoring in healthcare. Thus, the above factors could be limiting the global artificial intelligence in medical devices market's potential growth.

Segment Analysis

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

Product Type:

The software segment is expected to dominate the global artificial intelligence in medical devices market share

The software segment holds a major portion of the global artificial intelligence in medical devices market share and is expected to continue to hold a significant portion of the global artificial intelligence in medical devices market share during the forecast period.

The software segment is expected to capture the largest share of the AI in medical devices market, outpacing both hardware and services. This growth is fueled by a rising demand for advanced AI solutions that improve diagnostic accuracy and enhance operational efficiency. For instance, advancements in natural language processing (NLP) have resulted in the creation of software tools that convert physician notes into electronic health records (EHRs), thereby streamlining workflow efficiency.

Furthermore, key players in the industry product launches and approvals would drive this segment's growth in the global artificial intelligence in medical devices market. For instance, in July 2024, Hyperfine announced the clearance of its ninth generation of AI-powered software. This advanced software significantly reduces scan times across various MRI sequences without compromising image quality. The recent FDA clearance further establishes Hyperfine's leadership in AI-driven health technology.

Also, in May 2023, Formus Labs announced that it had received 510(k) clearance from the United States Food and Drug Administration (FDA) for its product, Formus Hip, which is recognized as the first "automated radiological image processing software" specifically designed for pre-operative planning in hip replacement surgeries. This clearance marks a significant milestone for the New Zealand-based company as it prepares to expand its presence in the U.S. market. These factors have solidified the segment's position in the global artificial intelligence in medical devices market.

Geographical Analysis

North America is expected to hold a significant position in the global artificial intelligence in medical devices market share

North America holds a substantial position in the global artificial intelligence in medical devices market and is expected to hold most of the market share.

The growing adoption of healthcare IT solutions is driving the expansion of AI in medical devices. Healthcare providers are increasingly utilizing AI technologies to boost operational efficiency, enhance patient outcomes, and streamline administrative tasks. The rapid increase in healthcare data generated from various sources such as electronic health records (EHRs), medical imaging, and wearable devices creates a need for advanced analytical tools.

AI can effectively process and analyze this vast amount of data, leading to improved diagnostics and personalized treatment plans. The increasing popularity of wearable health monitoring devices is driving demand for AI-enabled solutions that can analyze real-time data and provide actionable insights for both patients and healthcare providers.

Furthermore, in this region, a major number of key players' presence, well-advanced healthcare infrastructure, government initiatives & regulatory support, investments, and product launches & approvals would propel the artificial intelligence in medical devices market growth. For instance, in June 2022, Hyperfine, Inc. made a significant impact in the field of medical imaging with its Swoop system, which is recognized as the first FDA-cleared portable magnetic resonance imaging (MRI) device designed for point-of-care applications. The Swoop system is designed to be portable, allowing it to be brought directly to a patient's bedside.

Also, in March 2024, Clarius Mobile Health received Health Canada approval for its innovative Clarius Bladder AI, a non-invasive tool designed to automatically measure bladder volume in just seconds. This technology is now available in Canada alongside the Clarius PAL HD3, Clarius PA HD3, and Clarius C3 HD3 wireless handheld ultrasound scanners.

Thus, the above factors are consolidating the region's position as a dominant force in the global artificial intelligence in medical devices market.

Asia Pacific is growing at the fastest pace in the global artificial intelligence in medical devices market

Asia Pacific holds the fastest pace in the global artificial intelligence in medical devices market and is expected to hold most of the market share.

The rising rates of chronic illnesses such as diabetes, cardiovascular diseases, and respiratory disorders are driving the demand for advanced medical devices that utilize AI technologies for improved diagnosis and management.

The Asia-Pacific region is increasing the need for healthcare services and technologies that address age-related health issues, thereby boosting the market for artificial intelligence in medical devices investments in healthcare infrastructure across Asia-Pacific countries are facilitating the adoption of AI technologies. Enhanced infrastructure supports the integration of AI into medical devices, improving their functionality and effectiveness.

Furthermore, key players in the region's initiatives such as product launches would drive this artificial intelligence in medical devices market growth. For instance, in April 2024, Singapore's National University Hospital (NUH) launched an AI-driven digestive center that integrates three advanced artificial intelligence systems to enhance the early detection and diagnosis of stomach cancers. This initiative aims to improve clinical outcomes by leveraging AI technologies in the diagnostic process.

Also, in November 2023, Meihua International Medical Technologies Co. (MHUA) announced the launch of Speed Fox, an innovative artificial intelligence (AI)-powered warehouse management and medical device logistics platform. This initiative represents a significant advancement in the field of medical device logistics, aiming to streamline operations and enhance efficiency. Thus, the above factors are consolidating the region's position as the fastest-growing force in the global artificial intelligence in medical devices market.

Competitive Landscape

The major global players in the artificial intelligence in medical devices market include GE HealthCare., Medtronic, Siemens Healthineers AG, NVIDIA Corporation, Koninklijke Philips N.V., Canon Medical Systems, USA, Inc., Aidoc, IBM, Apple Inc., Google DeepMind, HYPERFINE, INC., and Clarius among others.

Emerging Players

The emerging players in the global artificial intelligence in medical devices market include Mediwhale Inc., xCures, Inc., and Formus Labs Ltd among others.

Key Developments

  • In May 2024, The Medicines and Healthcare Products Regulatory Agency (MHRA) launched AI Airlock, a new regulatory sandbox designed to address the challenges associated with regulating medical devices that utilize artificial intelligence (AI). This initiative aims to facilitate the safe development and deployment of AI as a Medical Device (AIaMD). AI Airlock serves as a controlled environment where developers can test their AI medical devices under regulatory supervision.
  • In March 2024, Clarius Mobile Health, received approval from Health Canada for its innovative Clarius PAL HD3 wireless handheld whole-body ultrasound scanner. This device is notable for its ability to provide high-definition imaging of both superficial and deep anatomical structures using a single dual-array scanner. The Clarius PAL HD3 operates seamlessly with an app on both iPhone and Android smart devices, making it highly accessible for healthcare professionals.

Why Purchase the Report?

  • To visualize the global artificial intelligence in medical devices market segmentation based on product type, technology, application, end-user, and region and understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of the artificial intelligence in medical devices market with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping is available in excel consisting of key products of all the major players.

The global artificial intelligence in medical devices market report would provide approximately 76 tables, 70 figures, and 183 pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

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. Integration of AI in Medical Devices
    • 4.1.2. Restraints
      • 4.1.2.1. Stringent Regulatory Approvals
    • 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. 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. Others

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. Radiology*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Cardiology
  • 8.4. Hematology
  • 8.5. Oncology
  • 8.6. Orthopedic Imaging
  • 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 and Healthcare Providers*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Pharmaceuticals and Biotechnology Companies
  • 9.4. Healthcare Payers
  • 9.5. Others

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. GE HealthCare. *
    • 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. Siemens Healthineers AG
  • 12.4. NVIDIA Corporation
  • 12.5. Koninklijke Philips N.V.
  • 12.6. Canon Medical Systems, USA, Inc.
  • 12.7. Aidoc
  • 12.8. IBM
  • 12.9. Apple Inc.
  • 12.10. Google DeepMind
  • 12.11. HYPERFINE, INC.,
  • 12.12. Clarius

LIST NOT EXHAUSTIVE

13. Appendix

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