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市场调查报告书

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1606490

全球人工智慧医疗器材市场 - 2024-2031

Global Artificial Intelligence in Medical Devices Market - 2024-2031

出版日期: 2024年12月04日 | 出版商:

DataM Intelligence | 英文 183 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

2023年，全球人工智慧医疗器材市场规模达215亿美元，预计2031年将达到2,289.8亿美元，2024-2031年预测期间复合年增长率为34.7%。

医疗设备中的人工智慧透过促进创新和提高效率来改变产业。其应用范围从资料管理和诊断支援到改善患者体验和确保法规遵循。人工智慧有望成为未来医疗保健的关键参与者。随着产业的进步，人工智慧的变革能力无疑将影响下一代医疗设备的发展，使医疗保健更有效率、便利和有效。

人工智慧技术，特别是机器学习演算法，越来越多地整合到诊断工具中以提高准确性。例如，人工智慧可以比传统方法更快、更准确地分析 X 光、MRI 和 CT 扫描等医学影像。此功能有助于降低误诊率，这是医疗保健领域的一个主要问题。这些因素推动了全球人工智慧在医疗器材市场的扩张。

执行摘要

市场动态：

驱动程式和限制

人工智慧在医疗设备中的集成

人工智慧在医疗设备中的整合正在显着推动全球人工智慧在医疗设备市场的成长，预计将在整个市场预测期内推动。

人工智慧 (AI) 透过引入创新解决方案并提高各种医疗保健应用的营运效率，正在显着改变医疗设备产业。

人工智慧（AI）在医疗设备中的整合涉及将机器学习、深度学习、自然语言处理和电脑视觉等先进技术融入医疗工具和设备中。这种整合使这些设备能够分析复杂的医疗资料，帮助医疗保健专业人员做出明智的决策，并在临床环境中实现各种流程的自动化。所有这些因素推动了全球人工智慧在医疗器材市场的发展。

此外，合作伙伴关係和协作、创新发布和产品批准等行业策略的关键参与者将推动医疗设备市场的全球人工智慧。例如，2023 年 3 月，NVIDIA 宣布与全球最大的医疗保健技术提供者美敦力 (Medtronic) 合作，加速将人工智慧 (AI) 融入医疗保健系统，并透过基于 AI 的全新解决方案增强患者护理。此次合作旨在将 NVIDIA 先进的医疗保健和边缘 AI 技术融入美敦力 (Medtronic) 的 GI Genius 智慧内视镜模组中，该模组由 Cosmo Pharmaceuticals 开发和製造。

同样，2024 年 11 月，GE 医疗保健推出了新的人工智慧创新实验室，旨在加速早期人工智慧 (AI) 解决方案的开发。该倡议是该公司更广泛策略的一部分，旨在将人工智慧整合到医疗设备中，创建可增强整个医疗保健旅程决策的应用程序，并利用人工智慧改善整个医疗保健系统的结果和营运效率。所有这些因素都需要医疗器材市场的全球人工智慧。

此外，远距医疗服务的日益普及有助于全球人工智慧在医疗设备市场的扩张。

严格的监管批准

严格的监管审批将阻碍全球人工智慧在医疗设备领域的发展。人工智慧（AI）医疗器材的监管环境相当复杂，可能会阻碍医疗器材市场中人工智慧新产品的及时推出。

人工智慧医疗设备的监管非常复杂，并且不同地区的监管差异很大。例如，美国 FDA 和英国 MHRA 等监管机构拥有不同的框架来管理这些设备的安全性、有效性和合规性。这种复杂性可能会导致产品开发和人工智慧进入医疗设备市场的延迟。

根据 ScienceDirect 于 2024 年发布的研究报告，许多生成式和非生成式 AI 工具已被开髮用于医疗保健领域的各种应用，许多医疗设备製造商利用 AI 和机器学习 (ML) 来创新其产品。监管人工智慧工具不仅可以促进这些技术安全有效地融入医疗保健，还可以增强公众信任。

监管机构必须对人工智慧及其在医疗保健领域的开发、部署和监控相关的挑战有深入的了解。因此，上述因素可能限制全球人工智慧医疗器材市场的潜在成长。

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

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