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市场调查报告书
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1970601

2026-2034年全球人工智慧市场规模、份额、趋势和成长分析报告（医疗影像领域）

Global Artificial Intelligence in Medical Imaging Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 166 Pages | 商品交期: 最快1-2个工作天内

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简介目录

预计2025年至2034年，人工智慧（AI）在医学影像领域的市场规模将从26.2亿美元成长至395.3亿美元，2026年至2034年的复合年增长率为35.18%。

随着计算智慧变革诊断、工作流程效率和患者照护，人工智慧在医学影像领域的市场正在迅速扩张。人工智慧演算法透过实现疾病早期检测、自动影像分析和预测建模，增强了磁振造影（MRI）、电脑断层扫描（CT）和超音波等成像方式的效能。医疗机构正在越来越多地采用人工智慧驱动的系统，以减少诊断错误、加快决策速度并优化放射科的工作效率。对数位医疗、巨量资料分析和云端基础设施的持续投入，进一步推动了全球人工智慧的普及应用。

技术整合是我们发展的核心。我们将深度学习模型、自然语言处理和边缘人工智慧整合到影像平台中，以即时解读复杂的资料集。人工智慧驱动的影像分割、病灶检测和定量分析能够实现精准诊断和个人化治疗方案。与电子病历和PACS（影像归檔和通讯系统）的互通性确保了流畅的临床工作流程，而人工智慧辅助分诊则减轻了临床医生的负担，并提高了患者诊疗速度。

预测医学、精准医学和远距放射学的广泛应用为未来前景提供了支撑。在新兴市场，对人工智慧成像技术的投资正在稳步推进，以应对放射科医生短缺的问题。同时，在成熟地区，重点则放在肿瘤学、心臟病学和神经病学等高价值领域的应用。人工智慧开发公司、成像设备製造商和医疗服务提供者之间的合作正在拓展可扩展解决方案的生态系统。随着人工智慧的不断发展，医学影像将从根本上重新定义，从而提高诊断准确性、营运效率和以患者为中心的医疗服务水准。

目录

第一章：引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 渗透率和成长前景分析
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制因素
    • 市场机会
    • 市场挑战
  • 波特五力分析
  • PESTLE分析

第四章：全球人工智慧在医疗影像领域的市场：依技术划分

  • 市场分析、洞察与预测
  • 深度学习
  • 自然语言处理（NLP）
  • 其他的

第五章：全球人工智慧在医学影像领域的市场：按应用划分

  • 市场分析、洞察与预测
  • 神经病学
  • 呼吸系统和肺
  • 心臟病学
  • 乳癌筛检
  • 整形外科
  • 其他的

第六章：全球医学影像人工智慧市场：以影像方式划分

  • 市场分析、洞察与预测
  • 电脑断层扫描
  • MRI
  • X射线
  • 超音波
  • 核医学影像

第七章：全球人工智慧在医疗影像领域的市场：依最终用途划分

  • 市场分析、洞察与预测
  • 医院
  • 诊断影像中心
  • 其他的

第八章：全球人工智慧在医疗影像领域的市场：按地区划分

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第九章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴（根据现有资讯）
  • 市场占有率和市场定位分析（基于现有资讯）
  • 供应商情况（基于现有资讯）
  • 策略规划

第十章：公司简介

  • 主要公司的市占率分析
  • 公司简介
    • GE HealthCare
    • Microsoft
    • Digital Diagnostics Inc
    • Tempus
    • Butterfly Network Inc
    • HeartFlow Inc
    • Enlitic Inc
    • Canon Medical Systems USA Inc
    • Viz.Ai Inc
    • Nano-X Imaging Ltd
简介目录
Product Code: VMR11219242

The Artificial Intelligence in Medical Imaging Market size is expected to reach USD 39.53 Billion in 2034 from USD 2.62 Billion (2025) growing at a CAGR of 35.18% during 2026-2034.

The AI in medical imaging market is expanding rapidly as computational intelligence transforms diagnostics, workflow efficiency, and patient care. AI algorithms enhance imaging modalities such as MRI, CT, and ultrasound by enabling early disease detection, automated image analysis, and predictive modeling. Healthcare providers are increasingly deploying AI-driven systems to reduce diagnostic errors, accelerate decision-making, and optimize radiology department efficiency. Rising investment in digital health, big data analytics, and cloud infrastructure is further catalyzing adoption globally.

Technological integration is central to growth. Deep learning models, natural language processing, and edge AI are being embedded into imaging platforms to interpret complex datasets in real time. AI-powered image segmentation, lesion detection, and quantitative analysis enable precision diagnostics and personalized treatment planning. Interoperability with electronic health records and PACS (Picture Archiving and Communication Systems) ensures seamless clinical workflows, while AI-assisted triaging reduces clinician workload and accelerates patient throughput.

Future prospects are anchored in predictive healthcare, precision medicine, and tele-radiology adoption. Emerging markets are investing in AI-enabled imaging to address limited radiology expertise, while mature regions focus on high-value applications such as oncology, cardiology, and neurology. Partnerships between AI developers, imaging equipment manufacturers, and healthcare providers are expanding the ecosystem of scalable solutions. As AI continues to evolve, it will fundamentally redefine medical imaging, enhancing diagnostic accuracy, operational efficiency, and patient-centered care.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Technology

  • Deep Learning
  • Natural Language Processing (NLP)
  • Others

By Application

  • Neurology
  • Respiratory and Pulmonary
  • Cardiology
  • Breast Screening
  • Orthopedics
  • Others

By Modalities

  • CT Scan
  • MRI
  • X-rays
  • Ultrasound
  • Nuclear Imaging

By End Use

  • Hospitals
  • Diagnostic Imaging Centers
  • Others

COMPANIES PROFILED

  • GE HealthCare, Microsoft, Digital Diagnostics Inc, Tempus, Butterfly Network Inc, HeartFlow Inc, Enlitic Inc, Canon Medical Systems USA Inc, Vizai Inc, NanoX Imaging Ltd
  • We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Technology
  • 4.2. Deep Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Natural Language Processing (NLP) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Application
  • 5.2. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Respiratory and Pulmonary Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Breast Screening Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Orthopedics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY MODALITIES 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Modalities
  • 6.2. CT Scan Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. MRI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. X-rays Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Ultrasound Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Nuclear Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY END USE 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast End Use
  • 7.2. Hospitals Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Diagnostic Imaging Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: BY REGION 2022-2034(USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Technology
    • 8.2.2 By Application
    • 8.2.3 By Modalities
    • 8.2.4 By End Use
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Technology
    • 8.3.2 By Application
    • 8.3.3 By Modalities
    • 8.3.4 By End Use
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Technology
    • 8.4.2 By Application
    • 8.4.3 By Modalities
    • 8.4.4 By End Use
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Technology
    • 8.5.2 By Application
    • 8.5.3 By Modalities
    • 8.5.4 By End Use
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 South East Asia
    • 8.5.10 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Technology
    • 8.6.2 By Application
    • 8.6.3 By Modalities
    • 8.6.4 By End Use
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 GE HealthCare
    • 10.2.2 Microsoft
    • 10.2.3 Digital Diagnostics Inc
    • 10.2.4 Tempus
    • 10.2.5 Butterfly Network Inc
    • 10.2.6 HeartFlow Inc
    • 10.2.7 Enlitic Inc
    • 10.2.8 Canon Medical Systems USA Inc
    • 10.2.9 Viz.Ai Inc
    • 10.2.10 Nano-X Imaging Ltd