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市場調查報告書
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2106406

人工智慧診斷成像市場預測至2034年－全球分析（按組件、成像方法、技術、部署模式、臨床應用、人工智慧解決方案、最終用戶和地區分類）

AI Diagnostic Imaging Market Forecasts To 2034 - Global Analysis By Component (Software, Hardware and Services), Imaging Modality, Technology, Deployment Mode, Clinical Application, AI Solution, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧驅動的診斷成像市場將達到 22 億美元，並在預測期內以 21.8% 的複合年成長率成長，到 2034 年達到 108 億美元。

人工智慧診斷影像市場涵蓋旨在增強各醫學領域醫學影像解讀和分析的人工智慧解決方案。先進的機器學習和深度學習模型可幫助臨床醫生識別疾病、自動評估影像、優先處理高優先級檢查，並利用磁振造影 (MRI)、電腦斷層掃描 (CT)、 超音波光、超音波和乳房X光檢查等診斷方法輔助決策。對更快診斷的需求不斷成長、醫學影像檢查的擴展以及人工智慧技術的持續進步正在加速市場成長。這些解決方案能夠幫助醫院、診斷影像中心和專科醫療機構提高營運效率、提升診斷準確性、減輕臨床醫生的工作量、實現早期診斷並改善患者照護。

醫學影像檢查數量增加

醫學影像檢查數量的顯著成長正在加速人工智慧在診斷影像領域的應用。隨著慢性病盛行率的上升、全球人口老化以及醫療保健覆蓋範圍的擴大，醫院和診斷中心需要處理的影像檢查也在增加。人工智慧系統透過自動化重複性任務、優先處理病例以及協助放射科醫生及時產生報告，簡化了診斷影像流程。這些功能在提高效率的同時，也確保了診斷品質的一致性。醫療機構正在尋求有效途徑，在不影響患者照護的前提下滿足日益成長的診斷影像需求，而人工智慧驅動的診斷影像平台正成為提升營運效率的寶貴工具。

高昂的實施和基礎設施成本

在診斷影像領域實施人工智慧所帶來的高昂成本，對市場成長構成重大挑戰。醫療機構必須投資高效能運算系統、安全可靠的數位基礎設施、人工智慧軟體平台、與現有醫院系統的整合以及持續的技術支援。此外，員工培訓、網路安全升級和軟體維護等額外成本也進一步推高了擁有成本。預算有限的小規模醫療機構和組織往往會因資金限制而推遲採用人工智慧。這些經濟障礙在新興醫療市場尤為突出，這些市場的資金籌措優先用於基本醫療服務而非先進的數位技術，從而限制了人工智慧成像解決方案的廣泛應用。

對人工智慧驅動的遠距離診斷和遠距放射診斷的需求日益成長

隨著遠端醫療服務的日益普及，人工智慧在診斷影像領域展現出巨大的應用潛力。人工智慧驅動的診斷影像平台使放射科醫生能夠遠端診斷醫學影像，自動識別高優先病例，並提高報告生成效率。這些功能擴大了專業診斷服務的覆蓋範圍，即使在醫療資源有限的地區也能受益。對遠端醫療技術、數位連接和遠距臨床服務的持續投入，推動了對智慧診斷成像解決方案的需求。隨著醫療機構不斷提升虛擬醫療服務水平，人工智慧驅動的遠距放射診斷平台在為地理位置分散的醫療網路提供準確、及時、便捷的診斷成像方面的重要性預計將顯著提升。

激烈的市場競爭與價格壓力

人工智慧診斷成像行業的激烈競爭持續給技術供應商帶來挑戰。全球醫療公司和創新新創公司對先進診斷成像解決方案的快速採用，使得企業面臨著以具有競爭力的價格提供卓越性能的巨大壓力。醫療機構通常會根據臨床準確性、互通性、部署便利性和整體價值來評估供應商，這迫使企業持續投資於產品改進。對於資源有限的企業而言，在研發能力、行銷實力和國際影響力方面與主要競爭對手匹敵並非易事。這些競爭壓力可能會降低利潤率，並使永續的市場成長更加困難。

新型冠狀病毒（COVID-19）的影響：

新冠疫情凸顯了快速、精準、自動化醫學影像診斷的重要性，加速了人工智慧診斷影像市場的發展。醫療機構部署人工智慧解決方案，分析胸部電腦斷層掃描和X光片，以檢測與新冠肺炎相關的呼吸系統併發症，從而加快診斷速度並最佳化患者優先排序。放射科工作量的增加推動了工作流程自動化和智慧決策支援系統的應用。雖然擇期手術的延遲暫時減少了常規影像檢查的數量，但對數位醫療、雲端成像和遠距放射學的投資卻顯著成長，為全球醫療系統中人工智慧驅動的影像診斷創造了持續的發展機會。

在預測期內，軟體領域預計將佔據最大的市場佔有率。

在智慧型影像解讀、自動化報告和臨床決策支援等醫療機構功能的推動下，軟體領域預計將在預測期內佔據最大的市場佔有率。基於人工智慧的軟體可以部署在現有的診斷影像基礎設施中，使醫療服務提供者能夠最佳化診斷工作流程，同時最大限度地發揮現有醫療設備的價值。人工智慧模型、互通性和雲端對應平臺的不斷改進正在推動軟體功能和臨床應用的擴展。其柔軟性、易於整合、持續升級以及在醫院、診斷成像中心和醫療網路中的廣泛部署，已使軟體成為人工智慧診斷成像生態系統中的關鍵組成部分。

預計在預測期內，數位病理學領域將實現最高的複合年成長率。

在預測期內，隨著醫療服務提供者擴大採用人工智慧驅動的整合成像方法，數位病理學領域預計將在人工智慧診斷成像市場中呈現最高的成長率。人工智慧透過整合多種影像技術的數據，能夠實現更全面的疾病評估、更高的診斷準確性和更完善的治療方案製定。在癌症診斷、神經系統疾病和心血管疾病等領域的廣泛應用，正在推動對先進影像整合和分析技術的需求。人工智慧演算法的持續創新、成像系統間互通性的不斷提升以及對精準醫療日益成長的關注，將加速多模態成像技術的普及，使其成為成長最快的應用領域。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的醫療保健生態系統、先進醫療技術的廣泛應用以及領先的人工智慧和影像解決方案供應商的集中。全部區域的醫療機構正在積極採用人工智慧來最佳化放射科操作、加速影像分析並支援臨床決策。由於醫療保健的數位化、研究舉措以及對技術創新的大力投資，人工智慧在診斷成像領域的應用持續擴展。監管政策的進步、高額的醫療保健支出以及對疾病早期檢測和精準醫療日益成長的重視，進一步鞏固了北美在全球人工智慧診斷成像市場的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於其先進的醫療基礎設施、對數位醫療技術的早期應用以及領先的人工智慧和診斷成像解決方案供應商的集中。醫院、診斷影像中心和醫療網路正日益將人工智慧融入其日常診斷流程，以提高效率、縮短報告時間並支援臨床決策。持續的創新投入、電子健康系統的廣泛應用以及積極的研究正在加速市場成長。強力的監管支援、智慧診斷成像平台的日益普及以及對個人化醫療的日益關注，進一步鞏固了北美在全球人工智慧診斷成像市場的領先地位。

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目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球人工智慧診斷影像市場：按組件分類

  • 軟體
  • 硬體
  • 服務

第6章 全球人工智慧診斷影像市場：以影像方式分類

  • X光
  • 電腦斷層掃描（CT）
  • 磁振造影（MRI）
  • 超音波
  • 乳房X光檢查
  • 正子斷層掃描（PET）
  • 單光子發射電腦斷層掃描（SPECT）
  • 數位病理學
  • 多模態影像診斷

第7章 全球人工智慧診斷影像市場：按技術分類

  • 機器學習
  • 深度學習
  • 電腦視覺
  • 自然語言處理
  • 人工智慧世代

第8章：全球人工智慧診斷影像市場：按部署模式分類

  • 現場
  • 基於雲端的
  • 混合

第9章 全球人工智慧診斷影像市場：按臨床應用分類

  • 腫瘤學
  • 神經病學
  • 循環系統
  • 呼吸內科
  • 整形外科
  • 胃腸病學
  • 泌尿系統
  • 婦產科
  • 急診與創傷醫學
  • 其他臨床用途

第10章 全球人工智慧診斷影像市場：按人工智慧解決方案分類

  • 影像擷取最佳化
  • 影像重建和影像校正
  • 電腦輔助檢測（CADe）
  • 電腦輔助診斷（CADx）
  • 影像量化
  • 臨床決策支持
  • 報告和文檔
  • 工作流程優先排序與分診

第11章 全球人工智慧診斷影像市場：按最終用戶分類

  • 醫院
  • 診斷影像中心
  • 專科診所
  • 門診手術中心（ASC）
  • 學術研究機構

第12章 全球人工智慧診斷影像市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第13章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第14章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第15章：公司簡介

  • GE HealthCare Technologies Inc.
  • Siemens Healthineers AG
  • Koninklijke Philips NV
  • Canon Medical Systems Corporation
  • Fujifilm Holdings Corporation
  • Bayer AG
  • Aidoc Medical Ltd.
  • Viz.ai, Inc.
  • Gleamer SAS
  • Lunit Inc.
  • Qure.ai Technologies Pvt. Ltd.
  • Nanox Imaging Ltd.
  • Subtle Medical, Inc.
  • RadNet, Inc.
  • iCAD, Inc.
  • Riverain Technologies LLC
  • ScreenPoint Medical BV
  • Annalise.ai Pty Ltd.
Product Code: SMRC38564

According to Stratistics MRC, the Global AI Diagnostic Imaging Market is accounted for $2.2 billion in 2026 and is expected to reach $10.8 billion by 2034 growing at a CAGR of 21.8% during the forecast period. The AI Diagnostic Imaging market encompasses artificial intelligence solutions designed to enhance the interpretation and analysis of medical images across various healthcare disciplines. Advanced machine learning and deep learning models help clinicians identify diseases, automate image assessments, prioritize urgent examinations, and provide decision support using modalities such as MRI, CT, X-ray, ultrasound, and mammography. Rising demand for faster diagnostics, expanding medical imaging procedures, and continued progress in AI technologies are accelerating market growth. These solutions improve operational efficiency, increase diagnostic precision, reduce clinician workload, enable earlier diagnosis, and strengthen patient care in hospitals, imaging centers, and specialized healthcare facilities.

Market Dynamics:

Driver:

Increasing Volume of Medical Imaging Procedures

A substantial increase in medical imaging examinations is accelerating the adoption of artificial intelligence within diagnostic imaging. Hospitals and diagnostic centers are handling larger numbers of imaging studies due to the growing prevalence of chronic illnesses, an aging global population, and broader healthcare accessibility. AI systems streamline image interpretation by automating repetitive tasks, organizing case priorities, and assisting radiologists in delivering timely reports. These capabilities enhance productivity while maintaining consistent diagnostic quality. As healthcare providers seek effective ways to address increasing imaging demand without compromising patient care, AI-enabled diagnostic imaging platforms are becoming valuable tools for improving operational performance.

Restraint:

High Implementation and Infrastructure Costs

The considerable cost associated with implementing artificial intelligence in diagnostic imaging presents a major challenge for market growth. Healthcare providers must invest in powerful computing systems, secure digital infrastructure, AI software platforms, integration with existing hospital systems, and continuous technical support. Additional expenses for staff education, cybersecurity upgrades, and software maintenance further increase ownership costs. Smaller healthcare facilities and organizations operating with restricted budgets often postpone AI adoption because of financial limitations. These economic barriers are particularly evident in emerging healthcare markets, where funding priorities focus on essential medical services before advanced digital technologies, limiting broader deployment of AI imaging solutions.

Opportunity:

Rising Demand for AI-Enabled Remote Diagnostics and Tele-Radiology

Growing adoption of remote healthcare services is creating valuable opportunities for artificial intelligence in diagnostic imaging. AI-powered imaging platforms allow radiologists to interpret medical scans from different locations while automatically identifying high-priority cases and improving reporting efficiency. These capabilities expand access to specialized diagnostic expertise in regions with limited medical resources. Continued investments in telehealth technologies, digital connectivity, and remote clinical services are increasing demand for intelligent imaging solutions. As healthcare organizations strengthen virtual care delivery, AI-supported tele-radiology platforms are expected to become increasingly important for providing accurate, timely, and accessible diagnostic imaging across geographically distributed healthcare networks.

Threat:

Intense Market Competition and Pricing Pressure

Strong competition within the AI Diagnostic Imaging industry creates ongoing challenges for technology providers. Global healthcare companies and innovative startups are rapidly introducing advanced imaging solutions, increasing pressure to deliver superior performance at competitive prices. Healthcare organizations often evaluate vendors based on clinical accuracy, interoperability, ease of implementation, and overall value, forcing companies to invest continuously in product improvement. Businesses with limited resources may find it difficult to match the research capabilities, marketing strength, and international presence of larger competitors. These competitive pressures can reduce profit margins and make sustained market growth more difficult.

Covid-19 Impact:

The COVID-19 outbreak accelerated the growth of the AI Diagnostic Imaging market by highlighting the importance of fast, accurate, and automated medical image interpretation. Healthcare providers adopted AI solutions to analyze chest CT scans and X-rays for detecting respiratory complications associated with COVID-19, enabling quicker diagnosis and improved patient prioritization. Increased pressure on radiology departments encouraged greater use of workflow automation and intelligent decision-support systems. While routine diagnostic imaging volumes declined temporarily because of postponed elective procedures, investments in digital health, cloud-based imaging, and remote radiology expanded significantly, creating lasting opportunities for AI-driven diagnostic imaging across global healthcare systems.

The Software segment is expected to be the largest during the forecast period

The Software segment is expected to account for the largest market share during the forecast period, supported by its powers intelligent image interpretation, automated reporting, and clinical decision support throughout healthcare organizations. AI-based software can be deployed across existing imaging infrastructure, allowing providers to strengthen diagnostic workflows while maximizing the value of current medical equipment. Ongoing improvements in artificial intelligence models, interoperability, and cloud-enabled platforms continue to expand software capabilities and clinical applications. Its flexibility, ease of integration, continuous upgrades, and widespread implementation across hospitals, imaging centers, and healthcare networks establish software as the leading component within the AI diagnostic imaging ecosystem.

The Digital Pathology segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Digital Pathology segment is predicted to witness the highest growth rate in the AI Diagnostic Imaging market as healthcare providers increasingly adopt integrated imaging approaches supported by artificial intelligence. By combining data from multiple imaging techniques, AI enables more comprehensive disease evaluation, greater diagnostic precision, and improved treatment planning. Expanding use in cancer diagnosis, neurological disorders, and cardiovascular diseases is driving demand for advanced image fusion and analytics technologies. Continuous innovation in AI algorithms, growing interoperability between imaging systems, and rising emphasis on precision medicine are expected to accelerate adoption, positioning multimodal imaging as the fastest-growing application segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, because of its mature healthcare ecosystem, extensive use of advanced medical technologies, and concentration of major AI and imaging solution providers. Healthcare organizations throughout the region actively deploy artificial intelligence to optimize radiology operations, accelerate image analysis, and support clinical decision-making. Strong investments in healthcare digitization, research initiatives, and technological innovation continue to expand AI applications across diagnostic imaging. Supportive regulatory advancements, substantial healthcare spending, and increasing emphasis on early disease detection and precision medicine reinforce North America's dominant position in the global AI diagnostic imaging market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, because of its advanced medical infrastructure, early adoption of digital healthcare technologies, and strong concentration of leading AI and imaging solution providers. Hospitals, imaging centers, and healthcare networks increasingly integrate artificial intelligence into routine diagnostic workflows to improve efficiency, reduce reporting time, and support clinical decision-making. Continuous investments in innovation, widespread implementation of electronic health systems, and robust research activities accelerate market growth. Strong regulatory support, expanding use of intelligent imaging platforms, and increasing focus on personalized healthcare further solidify North America's leadership in the global AI Diagnostic Imaging market.

Key players in the market

Some of the key players in AI Diagnostic Imaging Market include GE HealthCare Technologies Inc., Siemens Healthineers AG, Koninklijke Philips N.V., Canon Medical Systems Corporation, Fujifilm Holdings Corporation, Bayer AG, Aidoc Medical Ltd., Viz.ai, Inc., Gleamer SAS, Lunit Inc., Qure.ai Technologies Pvt. Ltd., Nanox Imaging Ltd., Subtle Medical, Inc., RadNet, Inc., iCAD, Inc., Riverain Technologies LLC, ScreenPoint Medical B.V. and Annalise.ai Pty Ltd.

Key Developments:

In May 2026, Fujifilm partnered with Ardent Health to deploy the Synapse Enterprise Imaging platform across Ardent Health's radiology and cardiology departments, strengthening enterprise imaging workflows with AI-enabled imaging informatics and clinical collaboration.

In March 2026, GE HealthCare and Stanford Radiology expanded their long-term research collaboration by establishing a Center of Excellence focused on advancing next-generation imaging.

In February 2026, Siemens Healthineers and Mayo Clinic expanded their strategic collaboration to advance patient care through AI-enabled imaging technologies, digital innovation, and research focused on improving diagnostic and clinical outcomes.

Components Covered:

  • Software
  • Hardware
  • Services

Imaging Modalities Covered:

  • X-ray
  • Computed Tomography (CT)
  • Magnetic Resonance Imaging (MRI)
  • Ultrasound
  • Mammography
  • Positron Emission Tomography (PET)
  • Single Photon Emission Computed Tomography (SPECT)
  • Digital Pathology
  • Multimodal Imaging

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Generative AI

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Clinical Applications Covered:

  • Oncology
  • Neurology
  • Cardiology
  • Pulmonology
  • Orthopedics
  • Gastroenterology
  • Urology
  • Obstetrics & Gynecology
  • Emergency & Trauma Care
  • Other Clinical Applications

AI Solutions Covered:

  • Image Acquisition Optimization
  • Image Reconstruction & Enhancement
  • Computer-Aided Detection (CADe)
  • Computer-Aided Diagnosis (CADx)
  • Image Quantification
  • Clinical Decision Support
  • Reporting & Documentation
  • Workflow Prioritization & Triage

End Users Covered:

  • Hospitals
  • Diagnostic Imaging Centers
  • Specialty Clinics
  • Ambulatory Surgical Centers (ASCs)
  • Academic & Research Institutes

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Qatar
      • Israel
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Morocco
      • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI Diagnostic Imaging Market, By Component

  • 5.1 Software
  • 5.2 Hardware
  • 5.3 Services

6 Global AI Diagnostic Imaging Market, By Imaging Modality

  • 6.1 X-ray
  • 6.2 Computed Tomography (CT)
  • 6.3 Magnetic Resonance Imaging (MRI)
  • 6.4 Ultrasound
  • 6.5 Mammography
  • 6.6 Positron Emission Tomography (PET)
  • 6.7 Single Photon Emission Computed Tomography (SPECT)
  • 6.8 Digital Pathology
  • 6.9 Multimodal Imaging

7 Global AI Diagnostic Imaging Market, By Technology

  • 7.1 Machine Learning
  • 7.2 Deep Learning
  • 7.3 Computer Vision
  • 7.4 Natural Language Processing
  • 7.5 Generative AI

8 Global AI Diagnostic Imaging Market, By Deployment Mode

  • 8.1 On-Premises
  • 8.2 Cloud-Based
  • 8.3 Hybrid

9 Global AI Diagnostic Imaging Market, By Clinical Application

  • 9.1 Oncology
  • 9.2 Neurology
  • 9.3 Cardiology
  • 9.4 Pulmonology
  • 9.5 Orthopedics
  • 9.6 Gastroenterology
  • 9.7 Urology
  • 9.8 Obstetrics & Gynecology
  • 9.9 Emergency & Trauma Care
  • 9.10 Other Clinical Applications

10 Global AI Diagnostic Imaging Market, By AI Solution

  • 10.1 Image Acquisition Optimization
  • 10.2 Image Reconstruction & Enhancement
  • 10.3 Computer-Aided Detection (CADe)
  • 10.4 Computer-Aided Diagnosis (CADx)
  • 10.5 Image Quantification
  • 10.6 Clinical Decision Support
  • 10.7 Reporting & Documentation
  • 10.8 Workflow Prioritization & Triage

11 Global AI Diagnostic Imaging Market, By End User

  • 11.1 Hospitals
  • 11.2 Diagnostic Imaging Centers
  • 11.3 Specialty Clinics
  • 11.4 Ambulatory Surgical Centers (ASCs)
  • 11.5 Academic & Research Institutes

12 Global AI Diagnostic Imaging Market, By Geography

  • 12.1 North America
    • 12.1.1 United States
    • 12.1.2 Canada
    • 12.1.3 Mexico
  • 12.2 Europe
    • 12.2.1 United Kingdom
    • 12.2.2 Germany
    • 12.2.3 France
    • 12.2.4 Italy
    • 12.2.5 Spain
    • 12.2.6 Netherlands
    • 12.2.7 Belgium
    • 12.2.8 Sweden
    • 12.2.9 Switzerland
    • 12.2.10 Poland
    • 12.2.11 Rest of Europe
  • 12.3 Asia Pacific
    • 12.3.1 China
    • 12.3.2 Japan
    • 12.3.3 India
    • 12.3.4 South Korea
    • 12.3.5 Australia
    • 12.3.6 Indonesia
    • 12.3.7 Thailand
    • 12.3.8 Malaysia
    • 12.3.9 Singapore
    • 12.3.10 Vietnam
    • 12.3.11 Rest of Asia Pacific
  • 12.4 South America
    • 12.4.1 Brazil
    • 12.4.2 Argentina
    • 12.4.3 Colombia
    • 12.4.4 Chile
    • 12.4.5 Peru
    • 12.4.6 Rest of South America
  • 12.5 Rest of the World (RoW)
    • 12.5.1 Middle East
      • 12.5.1.1 Saudi Arabia
      • 12.5.1.2 United Arab Emirates
      • 12.5.1.3 Qatar
      • 12.5.1.4 Israel
      • 12.5.1.5 Rest of Middle East
    • 12.5.2 Africa
      • 12.5.2.1 South Africa
      • 12.5.2.2 Egypt
      • 12.5.2.3 Morocco
      • 12.5.2.4 Rest of Africa

13 Strategic Market Intelligence

  • 13.1 Industry Value Network and Supply Chain Assessment
  • 13.2 White-Space and Opportunity Mapping
  • 13.3 Product Evolution and Market Life Cycle Analysis
  • 13.4 Channel, Distributor, and Go-to-Market Assessment

14 Industry Developments and Strategic Initiatives

  • 14.1 Mergers and Acquisitions
  • 14.2 Partnerships, Alliances, and Joint Ventures
  • 14.3 New Product Launches and Certifications
  • 14.4 Capacity Expansion and Investments
  • 14.5 Other Strategic Initiatives

15 Company Profiles

  • 15.1 GE HealthCare Technologies Inc.
  • 15.2 Siemens Healthineers AG
  • 15.3 Koninklijke Philips N.V.
  • 15.4 Canon Medical Systems Corporation
  • 15.5 Fujifilm Holdings Corporation
  • 15.6 Bayer AG
  • 15.7 Aidoc Medical Ltd.
  • 15.8 Viz.ai, Inc.
  • 15.9 Gleamer SAS
  • 15.10 Lunit Inc.
  • 15.11 Qure.ai Technologies Pvt. Ltd.
  • 15.12 Nanox Imaging Ltd.
  • 15.13 Subtle Medical, Inc.
  • 15.14 RadNet, Inc.
  • 15.15 iCAD, Inc.
  • 15.16 Riverain Technologies LLC
  • 15.17 ScreenPoint Medical B.V.
  • 15.18 Annalise.ai Pty Ltd.

List of Tables

  • Table 1 Global AI Diagnostic Imaging Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Diagnostic Imaging Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI Diagnostic Imaging Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global AI Diagnostic Imaging Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 5 Global AI Diagnostic Imaging Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global AI Diagnostic Imaging Market Outlook, By Imaging Modality (2023-2034) ($MN)
  • Table 7 Global AI Diagnostic Imaging Market Outlook, By X-ray (2023-2034) ($MN)
  • Table 8 Global AI Diagnostic Imaging Market Outlook, By Computed Tomography (CT) (2023-2034) ($MN)
  • Table 9 Global AI Diagnostic Imaging Market Outlook, By Magnetic Resonance Imaging (MRI) (2023-2034) ($MN)
  • Table 10 Global AI Diagnostic Imaging Market Outlook, By Ultrasound (2023-2034) ($MN)
  • Table 11 Global AI Diagnostic Imaging Market Outlook, By Mammography (2023-2034) ($MN)
  • Table 12 Global AI Diagnostic Imaging Market Outlook, By Positron Emission Tomography (PET) (2023-2034) ($MN)
  • Table 13 Global AI Diagnostic Imaging Market Outlook, By Single Photon Emission Computed Tomography (SPECT) (2023-2034) ($MN)
  • Table 14 Global AI Diagnostic Imaging Market Outlook, By Digital Pathology (2023-2034) ($MN)
  • Table 15 Global AI Diagnostic Imaging Market Outlook, By Multimodal Imaging (2023-2034) ($MN)
  • Table 16 Global AI Diagnostic Imaging Market Outlook, By Technology (2023-2034) ($MN)
  • Table 17 Global AI Diagnostic Imaging Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 18 Global AI Diagnostic Imaging Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 19 Global AI Diagnostic Imaging Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 20 Global AI Diagnostic Imaging Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 21 Global AI Diagnostic Imaging Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 22 Global AI Diagnostic Imaging Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 23 Global AI Diagnostic Imaging Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 24 Global AI Diagnostic Imaging Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 25 Global AI Diagnostic Imaging Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 26 Global AI Diagnostic Imaging Market Outlook, By Clinical Application (2023-2034) ($MN)
  • Table 27 Global AI Diagnostic Imaging Market Outlook, By Oncology (2023-2034) ($MN)
  • Table 28 Global AI Diagnostic Imaging Market Outlook, By Neurology (2023-2034) ($MN)
  • Table 29 Global AI Diagnostic Imaging Market Outlook, By Cardiology (2023-2034) ($MN)
  • Table 30 Global AI Diagnostic Imaging Market Outlook, By Pulmonology (2023-2034) ($MN)
  • Table 31 Global AI Diagnostic Imaging Market Outlook, By Orthopedics (2023-2034) ($MN)
  • Table 32 Global AI Diagnostic Imaging Market Outlook, By Gastroenterology (2023-2034) ($MN)
  • Table 33 Global AI Diagnostic Imaging Market Outlook, By Urology (2023-2034) ($MN)
  • Table 34 Global AI Diagnostic Imaging Market Outlook, By Obstetrics & Gynecology (2023-2034) ($MN)
  • Table 35 Global AI Diagnostic Imaging Market Outlook, By Emergency & Trauma Care (2023-2034) ($MN)
  • Table 36 Global AI Diagnostic Imaging Market Outlook, By Other Clinical Applications (2023-2034) ($MN)
  • Table 37 Global AI Diagnostic Imaging Market Outlook, By AI Solution (2023-2034) ($MN)
  • Table 38 Global AI Diagnostic Imaging Market Outlook, By Image Acquisition Optimization (2023-2034) ($MN)
  • Table 39 Global AI Diagnostic Imaging Market Outlook, By Image Reconstruction & Enhancement (2023-2034) ($MN)
  • Table 40 Global AI Diagnostic Imaging Market Outlook, By Computer-Aided Detection (CADe) (2023-2034) ($MN)
  • Table 41 Global AI Diagnostic Imaging Market Outlook, By Computer-Aided Diagnosis (CADx) (2023-2034) ($MN)
  • Table 42 Global AI Diagnostic Imaging Market Outlook, By Image Quantification (2023-2034) ($MN)
  • Table 43 Global AI Diagnostic Imaging Market Outlook, By Clinical Decision Support (2023-2034) ($MN)
  • Table 44 Global AI Diagnostic Imaging Market Outlook, By Reporting & Documentation (2023-2034) ($MN)
  • Table 45 Global AI Diagnostic Imaging Market Outlook, By Workflow Prioritization & Triage (2023-2034) ($MN)
  • Table 46 Global AI Diagnostic Imaging Market Outlook, By End User (2023-2034) ($MN)
  • Table 47 Global AI Diagnostic Imaging Market Outlook, By Hospitals (2023-2034) ($MN)
  • Table 48 Global AI Diagnostic Imaging Market Outlook, By Diagnostic Imaging Centers (2023-2034) ($MN)
  • Table 49 Global AI Diagnostic Imaging Market Outlook, By Specialty Clinics (2023-2034) ($MN)
  • Table 50 Global AI Diagnostic Imaging Market Outlook, By Ambulatory Surgical Centers (ASCs) (2023-2034) ($MN)
  • Table 51 Global AI Diagnostic Imaging Market Outlook, By Academic & Research Institutes (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.