全球醫學影像人工智慧市場：市場規模、佔有率、趨勢和成長分析（2026-2034）

全球醫學影像人工智慧市場預計將從2025年的20.6億美元成長至2034年的232.1億美元，2026年至2034年的複合年成長率（CAGR）為30.88%。該市場正經歷顯著成長，主要得益於人工智慧技術在診斷影像工作流程中的日益普及。人工智慧驅動的醫學影像解決方案能夠幫助醫療專業人員更有效率地分析影像，提高診斷準確率，並縮短解讀時間。對先進醫療技術日益成長的需求以及影像檢查數量的增加，正在推動人工智慧在醫院和診斷中心的廣泛應用。

機器學習、深度學習和電腦視覺技術的進步是關鍵的成長要素。人工智慧系統正擴大應用於疾病檢測、影像品質提升、工作流程最佳化和臨床決策支援。慢性病盛行率的上升以及對早期診斷需求的不斷成長，正促使醫療機構投資於智慧成像解決方案。積極的監管政策也加速了市場應用。

隨著醫療機構不斷推動數位轉型（DX），未來前景十分光明。人工智慧與放射學、病理學和診斷平台的融合有望創造巨大的商業機會。增加對醫療技術創新的投資，並擴大醫療影像服務的覆蓋範圍，將進一步推動成長。隨著精準醫療的進步，人工智慧在診斷影像領域的應用有望成為現代醫療服務中不可或缺的一部分。

我們的報告經過精心撰寫，旨在為客戶提供有關各個行業和市場的全面且切實可行的見解。每份報告都包含幾個關鍵要素，以便全面了解市場狀況：

市場概覽：有關市場的詳細資訊，包括定義、分類和行業現狀。

市場動態：本節詳細分析影響市場成長的主要促進因素、限制因素、機會和挑戰。本節將檢驗技術進步、監管變化和新興趨勢等因素。

細分市場分析：市場根據產品類型、應用、最終用戶和地區等標準分類為若干清晰的細分市場。此分析揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要參與者進行全面評估，包括市場佔有率、產品系列、策略舉措和財務表現。我們深入分析這些主要參與者的競爭動態和關鍵策略。

市場預測：基於歷史數據和當前市場狀況，我們對特定時期內的市場規模和成長趨勢進行預測。這包括定量分析和圖表展示，以展現未來的市場軌跡。

區域分析：這包括評估每個區域的市場表現，並識別關鍵市場和區域趨勢。它有助於了解區域市場動態和商業機會。

新趨勢與機會：識別當前及未來市場趨勢、技術創新和潛在投資領域。深入分析未來市場發展和成長前景。

客製化選項：我們提供靈活的客製化服務，可根據您的特定需求量身訂做報告。這包括額外的市場細分、國家/地區特定分析、競爭對手概況、自訂資料點以及針對特定細分市場的重點分析，從而更好地支援策略決策。

目錄

第1章：引言

第2章執行摘要

第3章：市場波動因素、趨勢與框架

• 市場歷史及展望
• 滲透率和成長率預測：繪製圖
• 價值鏈分析
• 法律規範
  • 標準與合規性
  • 分析法規的影響
• 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：全球醫療影像人工智慧市場：按服務類型分類

• 市場分析、考量與預測
• 軟體工具/平台
• 服務
• 硬體/整合解決方案

第5章：全球醫學影像人工智慧市場：依醫學影像方法分類

• 市場分析、考量與預測
• X光
• 電腦斷層掃描（CT）
• 磁振造影（MRI）
• 超音波
• 正子斷層掃描（PET）/單光子發射電腦斷層掃描（SPECT）

第6章：全球人工智慧醫療影像市場：按應用領域分類

• 市場分析、考量與預測
• 腫瘤學
• 神經病學
• 循環系統
• 肌肉骨骼系統/整形外科
• 乳房攝影
• 呼吸內科

第7章：全球醫學影像人工智慧市場：依部署方式分類

• 市場分析、考量與預測
• 現場
• 基於雲端/Web
• 混合

第8章：全球醫療影像人工智慧市場：按最終用戶分類

• 市場分析、考量與預測
• 醫院和診所
• 診斷影像中心
• 門診手術中心（ASC）
• 研究和學術機構
• 遠端放射診斷服務供應商

第9章：全球醫療影像人工智慧市場：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
• 對拉丁美洲市場的分析、洞察與預測。
  • 巴西
  • 阿根廷
  • 秘魯
  • 智利
  • 其他拉丁美洲國家
• 對中東和非洲市場的分析、洞察和預測。
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中東和非洲國家

第10章 競爭格局

• 最新趨勢
• 公司分類
• 供應鏈通路合作夥伴（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11章：公司簡介

• 主要公司的市佔率分析
• 公司簡介
  • Aidoc Medical Ltd
  • Agfa-Gevaert Group
  • Butterfly NetworkInc
  • Canon Medical Systems Corp
  • EchoNousInc
  • Enlitic Inc
  • Fujifilm Holdings Corp
  • GE HealthCare Technologies Inc
  • ICAD Inc
  • Koninklijke Philips NV
  • Lunit Inc
  • Nanox AI（formerly Zebra Medical Vision）
  • NVIDIA Corporation
  • Oxipit UAB
  • Qure.ai Technologies Pvt. Ltd
  • RapidAIInc
  • Sectra AB
  • Siemens Healthineers AG
  • Tempus Radiology（formerly Arterys Inc.）
  • Visage Imaging GmbH

The global AI in medical imaging market size is expected to reach USD 23.21 Billion in 2034 from USD 2.06 Billion in 2025, growing at a CAGR of 30.88 during 2026-2034.This market is witnessing substantial growth due to the increasing adoption of artificial intelligence technologies in diagnostic imaging workflows. AI-powered medical imaging solutions help healthcare professionals analyze images more efficiently, improve diagnostic accuracy, and reduce interpretation time. Rising demand for advanced healthcare technologies and growing imaging volumes are driving widespread implementation across hospitals and diagnostic centers.

Technological advancements in machine learning, deep learning, and computer vision are major growth drivers. AI systems are increasingly being used for disease detection, image enhancement, workflow optimization, and clinical decision support. Growing prevalence of chronic diseases and rising demand for early diagnosis are encouraging healthcare providers to invest in intelligent imaging solutions. Supportive regulatory developments are also accelerating market adoption.

Future prospects remain highly promising as healthcare institutions continue embracing digital transformation. The integration of AI with radiology, pathology, and diagnostic platforms is expected to create significant opportunities. Increasing investments in healthcare technology innovation and expanding access to medical imaging services will further support growth. As precision medicine advances, AI in medical imaging is expected to become an essential component of modern healthcare delivery.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Offering

• Software Tools / Platforms
• Services
• Hardware / Integrated Solutions

By Imaging Modality

• X-ray
• Computed Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• Ultrasound
• Positron Emission Tomography (PET) / SPECT

By Application

• Oncology
• Neurology
• Cardiology
• Musculoskeletal and Orthopedics
• Breast Imaging
• Pulmonology

By Deployment Model

• On-premise
• Cloud / Web-based
• Hybrid

By End User

• Hospitals and Clinics
• Diagnostic Imaging Centers
• Ambulatory Surgery Centers (ASC)
• Research and Academic Institutes
• Teleradiology Providers

COMPANIES PROFILED

• Aidoc Medical Ltd., Agfa-Gevaert Group, Butterfly Network, Inc., Canon Medical Systems Corp., EchoNous, Inc., Enlitic Inc., Fujifilm Holdings Corp., GE HealthCare Technologies Inc., iCAD Inc., Koninklijke Philips N.V., Lunit Inc., Nanox AI (formerly Zebra Medical Vision), NVIDIA Corporation, Oxipit UAB, Qure.ai Technologies Pvt. Ltd., RapidAI, Inc., Sectra AB, Siemens Healthineers AG, Tempus Radiology (formerly Arterys Inc.), Visage Imaging GmbH

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 AI IN MEDICAL IMAGING MARKET: BY OFFERING 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Offering
• 4.2. Software Tools / Platforms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Hardware / Integrated Solutions Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN MEDICAL IMAGING MARKET: BY IMAGING MODALITY 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Imaging Modality
• 5.2. X-ray Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Computed Tomography (CT) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Magnetic Resonance Imaging (MRI) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Ultrasound Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Positron Emission Tomography (PET) / SPECT Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN MEDICAL IMAGING MARKET: BY APPLICATION 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Application
• 6.2. Oncology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Musculoskeletal and Orthopedics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Breast Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Pulmonology Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN MEDICAL IMAGING MARKET: BY DEPLOYMENT MODEL 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Deployment Model
• 7.2. On-premise Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Cloud / Web-based Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN MEDICAL IMAGING MARKET: BY END USER 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End User
• 8.2. Hospitals and Clinics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Diagnostic Imaging Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Ambulatory Surgery Centers (ASC) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. Research and Academic Institutes Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.6. Teleradiology Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN MEDICAL IMAGING MARKET: BY REGION 2022-2034 (USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Offering
  • 9.2.2 By Imaging Modality
  • 9.2.3 By Application
  • 9.2.4 By Deployment Model
  • 9.2.5 By End User
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Offering
  • 9.3.2 By Imaging Modality
  • 9.3.3 By Application
  • 9.3.4 By Deployment Model
  • 9.3.5 By End User
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Offering
  • 9.4.2 By Imaging Modality
  • 9.4.3 By Application
  • 9.4.4 By Deployment Model
  • 9.4.5 By End User
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Offering
  • 9.5.2 By Imaging Modality
  • 9.5.3 By Application
  • 9.5.4 By Deployment Model
  • 9.5.5 By End User
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Offering
  • 9.6.2 By Imaging Modality
  • 9.6.3 By Application
  • 9.6.4 By Deployment Model
  • 9.6.5 By End User
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN MEDICAL IMAGING INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 Aidoc Medical Ltd
  • 11.2.2 Agfa-Gevaert Group
  • 11.2.3 Butterfly NetworkInc
  • 11.2.4 Canon Medical Systems Corp
  • 11.2.5 EchoNousInc
  • 11.2.6 Enlitic Inc
  • 11.2.7 Fujifilm Holdings Corp
  • 11.2.8 GE HealthCare Technologies Inc
  • 11.2.9 ICAD Inc
  • 11.2.10 Koninklijke Philips N.V
  • 11.2.11 Lunit Inc
  • 11.2.12 Nanox AI (formerly Zebra Medical Vision)
  • 11.2.13 NVIDIA Corporation
  • 11.2.14 Oxipit UAB
  • 11.2.15 Qure.ai Technologies Pvt. Ltd
  • 11.2.16 RapidAIInc
  • 11.2.17 Sectra AB
  • 11.2.18 Siemens Healthineers AG
  • 11.2.19 Tempus Radiology (formerly Arterys Inc.)
  • 11.2.20 Visage Imaging GmbH