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市場調查報告書
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1970601

2026-2034年全球人工智慧市場規模、佔有率、趨勢和成長分析報告（醫療影像領域）

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個工作天內

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簡介目錄

預計2025年至2034年，人工智慧（AI）在醫學影像領域的市場規模將從26.2億美元成長至395.3億美元，2026年至2034年的複合年成長率為35.18%。

隨著計算智慧變革診斷、工作流程效率和患者照護，人工智慧在醫學影像領域的市場正在迅速擴張。人工智慧演算法透過實現疾病早期檢測、自動影像分析和預測建模，增強了磁振造影（MRI）、電腦斷層掃描（CT）和超音波等成像方式的效能。醫療機構正在擴大採用人工智慧驅動的系統，以減少診斷錯誤、加快決策速度並最佳化放射科的工作效率。對數位醫療、巨量資料分析和雲端基礎設施的持續投入，進一步推動了全球人工智慧的普及應用。

技術整合是我們發展的核心。我們將深度學習模型、自然語言處理和邊緣人工智慧整合到影像平台中，以即時解讀複雜的資料集。人工智慧驅動的影像分割、病灶檢測和定量分析能夠實現精準診斷和個人化治療方案。與電子病歷和PACS（影像歸檔和通訊系統）的互通性確保了流暢的臨床工作流程，而人工智慧輔助分診則減輕了臨床醫生的負擔，並提高了患者診療速度。

預測醫學、精準醫學和遠距放射學的廣泛應用為未來前景提供了支撐。在新興市場，對人工智慧成像技術的投資正在穩步推進，以應對放射科醫生短缺的問題。同時，在成熟地區，重點則放在腫瘤學、心臟病學和神經病學等高價值領域的應用。人工智慧開發公司、成像設備製造商和醫療服務提供者之間的合作正在拓展可擴展解決方案的生態系統。隨著人工智慧的不斷發展，醫學影像將從根本上重新定義，從而提高診斷準確性、營運效率和以患者為中心的醫療服務水準。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章：全球人工智慧在醫療影像領域的市場：依技術分類

  • 市場分析、洞察與預測
  • 深度學習
  • 自然語言處理（NLP）
  • 其他

第5章：全球人工智慧在醫學影像領域的市場：按應用分類

  • 市場分析、洞察與預測
  • 神經病學
  • 呼吸系統和肺
  • 心臟病學
  • 乳癌篩檢
  • 整形外科
  • 其他

第6章：全球醫學影像人工智慧市場：以影像方式分類

  • 市場分析、洞察與預測
  • 電腦斷層掃描
  • MRI
  • X光
  • 超音波
  • 核醫學影像

第7章：全球人工智慧在醫療影像領域的市場：依最終用途分類

  • 市場分析、洞察與預測
  • 醫院
  • 診斷影像中心
  • 其他

第8章：全球人工智慧在醫療影像領域的市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第9章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第10章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • 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
簡介目錄
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