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人工智慧驅動的醫療圖像解決方案市場－全球及區域分析：按模式、產品、部署模式、工作流程、應用和地區分類的分析與預測（2026-2036年）
市場調查報告書
商品編碼
2048966

人工智慧驅動的醫療圖像解決方案市場－全球及區域分析：按模式、產品、部署模式、工作流程、應用和地區分類的分析與預測（2026-2036年）

AI-Enabled Medical Imaging Solutions Market - A Global and Regional Analysis: Focus on Modality, Product, Deployment Model, Workflow, Application, and Regional Analysis - Analysis and Forecast, 2026-2036
出版日期: | 出版商: BIS Research | 英文 181 Pages | 商品交期: 1-5個工作天內

價格

2024年全球人工智慧驅動的醫療圖像解決方案市場初始估值為 25.873億美元，但預計到2036年將達到 180.413億美元，2026年至2036年的年複合成長率為 17.60%，實現了顯著成長。

關鍵市場統計資料
預測期 2026-2036
2026年市場規模 35.672億美元
2036年預測 180.413億美元
年複合成長率 17.6%

全球人工智慧驅動的醫療圖像解決方案市場正經歷顯著成長，這主要得益於醫療系統對更快、更精準、更有效率的診斷影像的需求不斷成長。人工智慧驅動的醫療圖像解決方案將人工智慧演算法整合到X光、磁振造影（MRI）、電腦斷層掃描（CT）和超音波等影像技術以及其他影像方法中，以輔助影像擷取、重建、分析、解讀、分流和報告。這些解決方案正被擴大應用於提高診斷準確性、縮短報告時間、提昇放射科醫生的工作效率，並支持腫瘤科、心臟科、神經科、呼吸內科和肌肉骨骼疾病等高要求臨床領域的早期疾病檢測。隨著醫療機構面臨成像量不斷增加、放射科醫生短缺以及提供及時、一致的診斷結果的壓力日益增大，該市場不斷擴張。人工智慧驅動的解決方案有望透過自動化重複性任務、檢測異常情況、優先處理高優先病例以及提高影像檢查品質來輔助臨床醫生，同時還能減少掃描時間和輻射暴露。

技術進步變革人工智慧驅動的醫療圖像。基於深度學習的影像重建、電腦輔助檢測、預測分析、自動分割和生成式AI驅動的報告等創新技術，提升診斷影像工作流程的效率和臨床價值。主要市場參與者正積極開發針對特定影像方式和疾病的人工智慧應用，診斷影像設備供應商、人工智慧軟體公司、醫院和研究機構之間的夥伴關係加速產品開發和商業化進程。儘管預計市場將保持強勁成長，但仍面臨諸多挑戰，例如監管複雜性、資料隱私問題、互通性問題、演算法檢驗要求以及無縫臨床整合的需求。然而，監管核准的增加、對數位醫療基礎設施投資的擴大以及人工智慧輔助診斷的日益普及，預計將在預測期內推動市場持續擴張。

市場概覽

全球人工智慧驅動的醫療圖像解決方案市場經歷了顯著的變革，這主要得益於人工智慧快速融入整個診斷影像工作流程，以及對更快、更準確、更具可擴展性的放射學解決方案日益成長的需求。各公司正擴大採用深度學習、機器學習、電腦輔助檢測、自動影像重建和人工智慧輔助報告等先進技術，以提高醫療圖像診斷的速度、準確性和一致性。這些解決方案應用於所有主要影像模式，包括X光、CT、MRI、超音波等，可幫助臨床醫生進行疾病檢測、最佳化工作流程、分診和製定治療方案。

人工智慧影像增強、自動病灶檢測、器官分割、預測分析和生成式AI報告等顯著進步，體現了業界致力於提高診斷效率和減輕放射科醫生負擔的決心。隨著影像檢查數量的持續成長和醫療系統放射科醫生短缺的日益嚴峻，人工智慧驅動的醫療圖像解決方案在支援快速診斷和臨床決策方面的重要性與日俱增。隨著這些技術在醫院、影像診斷中心和門診診所的廣泛應用，它們有望塑造市場趨勢，並將人工智慧定位為下一代醫療圖像影像和精準醫療的核心要素。

對產業的影響

受高效、高精度且與工作流程無縫整合的診斷成像解決方案需求不斷成長的推動，全球人工智慧驅動的醫療圖像解決方案市場正經歷顯著成長。 Agfa-Gevaert Group、Carestream Health, Inc.、FUJIFILM Holdings Corporation、General Electric Company、Koninklijke Philips N.V.、Siemens Healthineers AG等領先企業在推動人工智慧成像技術發展方面發揮著非常重要的作用。這些公司正積極開發並將人工智慧功能整合到整個影像工作流程中，包括影像擷取最佳化、自動異常檢測、循環系統、診斷輔助、影像重建和報告輔助。這些創新對腫瘤科、心臟科、神經科、呼吸內科、乳房攝影光攝影、創傷評估和肌肉骨骼診斷等對快速準確影像解讀要求極高的臨床領域產生了特別顯著的影響。人工智慧驅動的醫療圖像解決方案提高診斷一致性、縮短報告時間、提昇放射科醫生的工作效率，並有助於早期發現具有臨床意義的異常情況。將人工智慧整合到企業影像平台、PACS/RIS 系統和基於雲端的部署模型中，可以實現醫療機構中更具可擴展性的部署。

目錄

第1章 全球人工智慧醫療圖像解決方案市場：產業展望

  • 市場概覽
  • 市場趨勢
    • 影響分析
    • 主要趨勢
    • 機會評估
  • 法律規範
    • 聯盟、協會和監管機構
    • FDA核准的醫療設備和利用人工智慧（AI）的演算法的法規結構
    • 北美法規結構
    • 歐洲法規結構
    • 亞太地區的法規結構
    • 其他國家的法律規範
  • 價值鏈分析
    • 價值鏈的關鍵階段
    • 整個價值鏈面臨的關鍵挑戰
    • 對相關人員的策略意義
  • 市場動態
    • 促進因素、挑戰和機會：對當前和未來影響的評估
    • 市場促進因素
    • 市場挑戰
    • 市場機會

第2章 2024-2036年全球人工智慧驅動型醫療圖像解決方案市場（依產品）

  • 軟體
  • 硬體

第3章 2024-2036年全球人工智慧驅動的醫療圖像解決方案市場（依影像方式）

  • 電腦斷層掃描
  • 磁振造影
  • 超音波
  • X光
  • 其他

第4章 2024-2036年全球人工智慧驅動型醫療圖像解決方案市場（依部署模式）

  • 雲端和基於網路的解決方案
  • 本地部署解決方案

第5章 2024-2036年全球人工智慧驅動的醫療圖像解決方案市場（依工作流程）

  • 影像擷取
  • 影像分析
  • 偵測
  • 支持診斷和治療決策
  • 預測分析和風險評估
  • 分診
  • 報告與溝通

第6章 2024-2036年全球人工智慧醫療圖像解決方案市場（依應用領域）

  • 專業診斷影像
    • 概述
    • 市場規模及預測
  • 普通診斷影像

第7章 2024-2036年全球人工智慧醫療圖像解決方案市場（依地區）

  • 北美洲
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測
  • 歐洲
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測
  • 亞太地區
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測
  • 世界其他地區
    • 區域概覽
    • 市場成長促進因素
    • 市場挑戰
    • 分析師意見
    • 市場規模及預測

第8章 競爭標竿分析與公司概況

  • 關鍵策略與趨勢（2023年1月至2026年3月）
  • 主要發展分析（依公司）
  • 公司簡介
    • Agfa-Gevaert Group
    • Aidoc
    • Butterfly Network, Inc.
    • Canon Inc.
    • Carestream Health Inc.
    • FUJIFILM Holdings Corporation
    • General Electric Company
    • Hologic, Inc.
    • Lunit Inc.
    • Qure.ai
    • RadNet, Inc.（DeepHealth, Inc.）
    • Koninklijke Philips NV
    • Samsung Electronics Co., Ltd
    • Siemens Healthineers AG
    • VUNO, Inc.

第9章 調查方法

Product Code: BHD0750SD

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Introduction of the AI-Enabled Medical Imaging Solutions Market

The global AI-enabled medical imaging solutions market, initially valued at $2,587.3 million in 2024, is projected to grow substantially, reaching $18,041.3 million by 2036, with a remarkable compound annual growth rate (CAGR) of 17.60% from 2026 to 2036.

KEY MARKET STATISTICS
Forecast Period2026 - 2036
2026 Evaluation$3,567.2 Million
2036 Forecast$18,041.3 Million
CAGR17.6%

The global AI-enabled medical imaging solutions market is witnessing significant growth, driven by the increasing demand for faster, more accurate, and workflow-efficient diagnostic imaging across healthcare systems. AI-enabled medical imaging solutions involve the integration of artificial intelligence algorithms with imaging modalities such as X-ray, Magnetic Resonance Imaging (MRI) Systems, Computed Tomography, ultrasound, along with other imaging modalities to support image acquisition, reconstruction, analysis, interpretation, triage, and reporting. These solutions are increasingly being adopted to improve diagnostic accuracy, reduce reporting turnaround time, enhance radiologist productivity, and support early disease detection across high-burden clinical areas such as oncology, cardiology, neurology, pulmonology, and musculoskeletal disorders. The market is expanding as healthcare providers face rising imaging volumes, radiologist shortages, and growing pressure to deliver timely and consistent diagnostic outcomes. AI-enabled solutions assist clinicians by automating repetitive tasks, detecting abnormalities, prioritizing critical cases, and improving image quality while potentially reducing scan time and radiation exposure.

Technological advancements are reshaping the AI-enabled medical imaging landscape, with innovations such as deep learning-based image reconstruction, computer-aided detection, predictive analytics, automated segmentation, and generative AI-assisted reporting improving the efficiency and clinical value of imaging workflows. Key market players are actively developing modality-specific and disease-specific AI applications, while partnerships between imaging vendors, AI software companies, hospitals, and research institutions are accelerating product development and commercialization. Despite strong growth prospects, the market continues to face challenges such as regulatory complexity, data privacy concerns, interoperability issues, algorithm validation requirements, and the need for seamless clinical integration. However, increasing regulatory approvals, growing investment in digital health infrastructure, and the rising acceptance of AI-assisted diagnostics are expected to support continued market expansion over the forecast period.

Market Introduction

The global AI-enabled medical imaging solutions market has undergone a significant transformation, driven by the rapid integration of artificial intelligence across diagnostic imaging workflows and the growing need for faster, more accurate, and scalable radiology solutions. Companies are increasingly incorporating advanced technologies such as deep learning, machine learning, computer-aided detection, automated image reconstruction, and AI-assisted reporting to improve the speed, accuracy, and consistency of medical image interpretation. These solutions are being applied across key imaging modalities, including X-ray, CT, MRI, ultrasound, and other modalities, supporting clinicians in disease detection, workflow optimization, triage, and treatment planning.

Noteworthy advancements, such as AI-based image enhancement, automated lesion detection, organ segmentation, predictive analytics, and generative AI-enabled reporting, highlight the industry's focus on improving diagnostic efficiency and reducing the burden on radiologists. As imaging volumes continue to rise and healthcare systems face persistent radiology workforce shortages, AI-enabled medical imaging solutions are becoming increasingly important in supporting timely diagnosis and clinical decision-making. With growing adoption across hospitals, diagnostic imaging centers, and ambulatory care settings, these technologies are expected to shape the market's trajectory, positioning AI as a central component of next-generation medical imaging and precision healthcare delivery.

Industrial Impact

The global AI-enabled medical imaging solutions market has witnessed substantial growth, driven by the increasing demand for efficient, high-accuracy, and workflow-integrated diagnostic imaging solutions. Key players such as Agfa-Gevaert Group, Carestream Health, Inc., FUJIFILM Holdings Corporation, General Electric Company, Koninklijke Philips N.V., and Siemens Healthineers AG are playing a pivotal role in advancing AI-driven imaging technologies. These companies are actively developing and integrating AI capabilities across imaging workflows, including image acquisition optimization, automated abnormality detection, triage, diagnosis support, image reconstruction, and reporting assistance. These innovations are particularly impactful in high-burden clinical areas such as oncology, cardiology, neurology, pulmonology, breast imaging, trauma assessment, and musculoskeletal diagnostics, where rapid and accurate image interpretation is critical. AI-enabled medical imaging solutions are enhancing diagnostic consistency, reducing reporting turnaround times, improving radiologist productivity, and supporting earlier detection of clinically significant abnormalities. The integration of AI into enterprise imaging platforms, PACS/RIS systems, and cloud-based deployment models is further enabling scalable adoption across healthcare facilities.

Market Segmentation:

Segmentation 1: By Product

  • Hardware
  • Software

Software Segment to Dominate the AI-Enabled Medical Imaging Solutions Market (by Product)

On the basis of product, the software segment is expected to hold the largest share in the global AI-enabled medical imaging solutions market. This is primarily due to the increasing use of AI-based software for image analysis, detection, triage, workflow automation, reporting, image reconstruction, and clinical decision support. AI software can be deployed across existing imaging systems, allowing healthcare providers to enhance diagnostic workflows without immediately replacing installed imaging equipment.

Segmentation 2: By Modality

  • X-Ray
  • Ultrasound
  • Magnetic Resonance Imaging
  • Computed Tomography
  • Others

Computed Tomography Segment to Dominate the AI-Enabled Medical Imaging Solutions Market (by Modality)

On the basis of modality, the computed tomography segment is expected to hold the largest share in the global AI-enabled medical imaging solutions market. This dominance is primarily driven by the high utilization of CT imaging across oncology, cardiology, neurology, pulmonology, trauma, and emergency care pathways. CT is widely used for disease detection, staging, treatment planning, follow-up assessment, and acute diagnosis, making it one of the most commercially relevant modalities for AI integration. AI-enabled CT solutions are increasingly being adopted for image reconstruction, lesion detection, organ segmentation, triage, workflow optimization, dose reduction, and quantitative image analysis. These solutions help radiologists manage large imaging volumes, improve diagnostic consistency, and accelerate reporting turnaround times.

Segmentation 3: By Deployment Model

  • Cloud- and Web-Based Solutions
  • On-Premise Solutions

On-Premises Solutions to Dominate the AI-Enabled Medical Imaging Solutions Market (by Deployment Model)

Based on the deployment model, on-premises solutions are expected to hold the largest share of the AI-enabled medical imaging solutions market. This is mainly due to hospitals' preference for data security, regulatory control, cybersecurity management, and direct integration with existing PACS, RIS, enterprise imaging, and hospital IT infrastructure. Large hospitals and academic medical centers often manage high volumes of sensitive imaging data and therefore prefer deployment models that allow greater control over data storage, processing, access, and compliance.

Segmentation 4: By Workflow

  • Image Acquisition
  • Image Analysis
  • Detection
  • Diagnosis and Treatment Decision Support
  • Predictive Analysis and Risk Assessment
  • Triage
  • Reporting and Communication

Image Analysis to Dominate the AI-Enabled Medical Imaging Solutions Market (by Workflow)

Based on workflow, the image analysis segment is expected to capture the largest share of the global AI-enabled medical imaging solutions market. Image analysis forms the core functional layer of AI adoption across different modalities. It enables the extraction of clinically meaningful insights from medical images through image enhancement, reconstruction, segmentation, quantification, anatomical recognition, abnormality characterization, and workflow optimization. The dominance of this segment is supported by its broad applicability across multiple clinical areas, including oncology, cardiology, neurology, musculoskeletal imaging, women's health, and emergency care. AI-powered image analysis solutions help reduce variability in interpretation, support radiologists in identifying subtle abnormalities, and improve the consistency and speed of diagnostic workflows.

Segmentation 5: By Therapeutic Application

  • General Imaging
  • Specialty Imaging

Specialty Imaging to Dominate the AI-Enabled Medical Imaging Solutions Market (by Therapeutic Application)

Based on therapeutic applications, specialty imaging is expected to hold the largest share in the global AI-enabled medical imaging solutions market. This is driven by the higher revenue contribution of AI-enabled CT, MRI, and advanced imaging systems used in complex clinical areas such as oncology, cardiology, neurology, and other specialty care pathways. Specialty imaging requires advanced capabilities such as lesion detection, anatomical segmentation, image quantification, treatment planning, disease progression monitoring, and clinical decision support.

Segmentation 6: By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
    • Italy
    • Spain
    • Switzerland
    • Sweden
    • Netherlands
    • Rest-of-Europe
  • Asia-Pacific
    • China
    • Japan
    • Australia and New Zealand
    • South Korea
    • Singapore
    • Rest-of-Asia-Pacific
  • Rest-of-the-World

North America to Dominate the AI-Enabled Medical Imaging Solutions Market (by Region)

On the basis of region, North America is expected to hold the largest share in the global AI-enabled medical imaging solutions market. This leadership is mainly due to the region's advanced healthcare infrastructure, high adoption of digital imaging technologies, strong presence of AI imaging companies, better purchasing capacity, and faster integration of AI tools across radiology workflows. The U.S. also has a large installed base of CT, MRI, X-ray, and ultrasound systems, which supports faster commercialization and deployment of AI-enabled imaging solutions.

Recent Developments in the AI-Enabled Medical Imaging Solutions Market

  • In March 2026, NVIDIA Corporation partnered with global robotics leaders to advance AI-enabled physical intelligence platforms, accelerating real-world deployment of AI-driven imaging, perception, and decision-making systems across industries, including healthcare, where imaging-based AI supports automation and precision diagnostics.
  • In January 2026, Qure.ai announced it had received a multimillion-dollar grant from the Bill & Melinda Gates Foundation to develop a large, open-source multimodal database and AI-enabled point-of-care ultrasound algorithms.
  • In November 2025, Butterfly Network, Inc. announced the launch of Compass AI, an artificial intelligence-powered enterprise software platform designed to optimize point-of-care ultrasound (POCUS) program management through enhanced workflows, documentation, and compliance.

Demand - Drivers, Challenges, and Opportunities

Market Drivers:

Growing Emphasis on Early Detection and Risk-Based Screening Driving Adoption of AI-Enabled Medical Imaging Solutions: The global AI-enabled medical imaging solutions market is being driven by the growing focus on early detection, risk-based screening, and timely diagnosis of cancer and other chronic diseases. Healthcare systems are increasingly prioritizing screening and early diagnosis to improve patient outcomes, reduce disease progression, and lower downstream treatment burden. AI-enabled imaging tools are supporting this shift by assisting radiologists in automated detection, triage, risk stratification, diagnostic decision support, and workflow prioritization across modalities such as chest X-ray, CT, and MRI. Public screening initiatives, imaging data infrastructure programs, and growing clinical validation of AI-assisted tools are further strengthening adoption. As healthcare providers move toward population-level screening and opportunistic detection, AI-enabled medical imaging solutions are increasingly being positioned as important tools for improving diagnostic efficiency, enabling earlier intervention, and supporting more scalable imaging workflows.

Market Challenges:

Legal and Liability-Related Concerns Limiting Adoption of AI-Enabled Medical Imaging Solutions: Legal and liability-related concerns remain a key challenge for the adoption of AI-enabled medical imaging solutions, particularly as these tools become more deeply integrated into clinical workflows. While most current solutions are designed to support radiologists and clinicians, uncertainty remains regarding accountability when AI-assisted outputs contribute to missed findings, false positives, delayed diagnoses, or inappropriate clinical decisions. The absence of clearly defined responsibility among clinicians, healthcare institutions, and software vendors creates hesitation among providers, especially in high-risk areas such as oncology, neurology, and emergency imaging. In addition, concerns related to informed consent, data privacy, algorithmic bias, model transparency, and the black-box nature of deep learning systems further affect clinical trust and medico-legal confidence. As a result, many healthcare organizations continue to deploy AI primarily as an assistive tool rather than relying on it for autonomous decision-making, which can slow broader adoption and limit the full commercial potential of AI-enabled medical imaging solutions.

Market Opportunities:

Shortage of Healthcare Workforce Creating Opportunities for AI-Based Workflow Augmentation: The global shortage of healthcare professionals is creating strong opportunities for AI-enabled medical imaging solutions, particularly as imaging volumes continue to rise while the availability of radiologists, radiographers, and imaging technologists remains constrained. Healthcare systems are facing increasing pressure from growing chronic disease burden, aging populations, expanding screening programs, and higher demand for timely diagnostic interpretation. This imbalance is contributing to heavier radiology workloads, longer reporting turnaround times, and delays in clinical decision-making. AI-enabled medical imaging solutions can help address these challenges by supporting image analysis, case triage, workflow prioritization, reporting assistance, and quality improvement. Rather than replacing clinical expertise, AI acts as an augmentation tool that reduces repetitive manual tasks, improves productivity, and enables more consistent interpretation across high-volume imaging settings. This creates a significant market opportunity, especially for hospitals and diagnostic centers seeking scalable solutions to improve efficiency despite workforce limitations.

How can this report add value to an organization?

Product/Innovation Strategy: The global AI-enabled medical imaging solutions market has been segmented across key areas such as workflow, modality, application, deployment model, and region. By understanding which segments hold the largest market share and which areas are expected to grow rapidly, this report helps organizations identify high-potential opportunities for product development, AI algorithm expansion, workflow integration, and modality-specific innovation. It also supports companies in aligning their solutions with evolving clinical needs across image acquisition, analysis, triage, reporting, and decision support.

Growth/Marketing Strategy: Strategic partnerships, collaborations, product launches, regulatory clearances, and geographic expansion are expected to play a central role in the growth of the AI-enabled medical imaging solutions market. Collaborations between imaging vendors, AI software developers, hospitals, cloud platform providers, and research institutions are strengthening the commercialization and clinical validation of AI-enabled imaging tools. This report helps organizations assess market entry opportunities, prioritize target customer groups, and develop growth strategies across hospitals, diagnostic imaging centers, and enterprise imaging platforms.

Competitive Strategy: The AI-enabled medical imaging solutions market is becoming increasingly competitive, with established imaging companies and specialized AI vendors actively developing solutions across multiple modalities and disease areas. Key players are focusing on AI-based detection, workflow automation, image reconstruction, reporting support, and cloud-based deployment to differentiate their offerings. This report supports organizations in benchmarking competitors, understanding product positioning, identifying strategic gaps, and evaluating opportunities for partnerships, acquisitions, and portfolio expansion in the evolving AI-enabled medical imaging ecosystem.

Methodology

Key Considerations and Assumptions in Market Engineering and Validation

  • Years from 2024 to 2036 have been considered for the global market size estimation, 2025 has been considered as the base year, and 2026 to 2036 as the forecast period.
  • The scope of the report is based on comprehensive inputs from industry experts across various sectors, including specialty clinics and hospitals, diagnostic laboratories, imaging centers, reference laboratories, and research institutions.
  • The market contribution of AI-enabled medical imaging solutions is anticipated to grow substantially in the future, with projections based on historical analysis of available solutions.
  • Revenues from companies have been sourced from their annual reports for FY2024 and FY2025. For private companies, revenue estimates are derived from primary research inputs, funding history, market collaborations, and operational performance.
  • The market has been mapped based on the existing AI-enabled medical imaging software and hardware. Key companies with significant offerings in this field have been identified and profiled in this report.

Primary Research

The primary sources involve industry experts and key stakeholders across the healthcare and medical imaging ecosystem, including AI-enabled imaging solution providers, medical device manufacturers, radiology service providers, and healthcare institutions. Stakeholders such as hospitals, imaging centers, and teleradiology providers have been consulted to validate adoption trends and clinical utility. Respondents, including CEOs, vice presidents, product and marketing directors, and technology and innovation leaders, have been interviewed to obtain and verify both qualitative and quantitative insights for this research study.

The key data points taken from the primary sources include:

  • validation and triangulation of all the numbers and graphs
  • validation of report segmentations and key qualitative findings
  • understanding the competitive landscape and business model
  • current and proposed production values of a product by market players
  • validation of the numbers of different segments of the market in focus
  • percentage split of individual markets for regional analysis

Secondary Research

Open Sources

  • Certified publications, articles from recognized authors, white papers, directories, and major databases, among others
  • Annual reports, SEC filings, and investors' presentations of the leading market players
  • Company websites and a detailed study of their product portfolio
  • Gold standard magazines, journals, white papers, press releases, and news articles
  • Paid databases

The key data points taken from the secondary sources include:

  • segmentations and percentage shares
  • data for market value
  • key industry trends of the top players in the market
  • qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
  • quantitative data for mathematical and statistical calculations

Key Market Players and Competition Synopsis

The companies profiled have been selected based on inputs gathered from an analysis of company coverage, product portfolio, and market penetration.

Some prominent names established in this market are:

  • Agfa-Gevaert Group
  • Aidoc
  • Butterfly Network, Inc.
  • Canon Inc.
  • Carestream Health Inc.
  • FUJIFILM Holdings Corporation
  • General Electric Company
  • Hologic, Inc.
  • Lunit Inc.
  • Qure.ai
  • RadNet, Inc. (DeepHealth, Inc.)
  • Koninklijke Philips N.V.
  • Samsung Electronics Co., Ltd
  • Siemens Healthineers AG
  • VUNO, Inc.

Table of Contents

Executive Summary

Scope and Definition

1 Global AI-Enabled Medical Imaging Solutions Market: Industry Outlook

  • 1.1 Market Overview
  • 1.2 Market Trends
    • 1.2.1 Impact Analysis
    • 1.2.2 Key Trends
      • 1.2.2.1 Increasing Strategic Collaborations and Partnerships among Industry Stakeholders
      • 1.2.2.2 Advancement Toward Foundation Models and Generative AI Expanding Imaging AI Capabilities
      • 1.2.2.3 Shift toward Cloud- and Web-Based AI Platforms
      • 1.2.2.4 Platformization of AI in Medical Imaging Supporting Multi-Vendor Integration and Orchestration
    • 1.2.3 Opportunity Assessment
  • 1.3 Regulatory Framework
    • 1.3.1 Consortiums, Associations, and Regulatory Bodies
    • 1.3.2 Regulatory Framework for Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms
    • 1.3.3 Regulatory Framework in North America
      • 1.3.3.1 Regulatory Framework in the U.S.
    • 1.3.4 Regulatory Framework in Europe
    • 1.3.5 Regulatory Framework in Asia-Pacific
      • 1.3.5.1 Regulatory Framework in Japan
      • 1.3.5.2 Regulatory Framework in China
      • 1.3.5.3 Regulatory Framework in India
    • 1.3.6 Regulatory Framework in the Other Countries
      • 1.3.6.1 Regulatory Framework in Brazil
      • 1.3.6.2 Regulatory Framework in Mexico
      • 1.3.6.3 Regulatory Framework in Israel
      • 1.3.6.4 Regulatory Framework in the K.S.A.
      • 1.3.6.5 Regulatory Framework in the U.A.E.
  • 1.4 Value Chain Analysis
    • 1.4.1 Key Stages in Value Chain
    • 1.4.2 Key Challenges across the Value Chain
    • 1.4.3 Strategic Implications for Stakeholders
  • 1.5 Market Dynamics
    • 1.5.1 Drivers, Challenges, and Opportunities: Current and Future Impact Assessment
    • 1.5.2 Market Drivers
      • 1.5.2.1 Growing Emphasis on Early Detection and Risk-Based Screening Driving Adoption of AI-Enabled Medical Imaging Solutions
      • 1.5.2.2 Need for Improved Diagnostic Accuracy and Clinical Decision-Making Accelerating AI Integration in Medical Imaging
      • 1.5.2.3 Expansion of Multi-Specialty and Multi-Modality Clinical Applications Increasing Demand for AI Medical Imaging Solutions
      • 1.5.2.4 Technological Advancements Enabling Higher-Value AI Imaging Capabilities
    • 1.5.3 Market Challenges
      • 1.5.3.1 Legal and Liability-Related Concerns Limiting Adoption of AI-Enabled Medical Imaging Solutions
      • 1.5.3.2 Increasing Cybersecurity Risks and Data Privacy Constraints Restricting Scalable AI Deployment in Medical Imaging
    • 1.5.4 Market Opportunities
      • 1.5.4.1 Shortage of Healthcare Workforce Creating Opportunities for AI-Based Workflow Augmentation
      • 1.5.4.2 Expanding Healthcare Infrastructure and Digital Transformation Creating Growth Opportunities in Emerging Economies
      • 1.5.4.3 Advancements in Real-Time and Edge AI Creating New Opportunities for Intelligent Imaging Devices

2 Global AI-Enabled Medical Imaging Solutions Market (by Product), $Million, 2024-2036

  • 2.1 Software
    • 2.1.1 Overview
    • 2.1.2 Market Sizing and Forecast
  • 2.2 Hardware
    • 2.2.1 Overview
    • 2.2.2 Market Sizing and Forecast

3 Global AI-Enabled Medical Imaging Solutions Market (by Modality), $Million, 2024-2036

  • 3.1 Computed Tomography
    • 3.1.1 Overview
    • 3.1.2 Market Sizing and Forecast
  • 3.2 Magnetic Resonance Imaging
    • 3.2.1 Overview
    • 3.2.2 Market Sizing and Forecast
  • 3.3 Ultrasound
    • 3.3.1 Overview
    • 3.3.2 Market Sizing and Forecast
  • 3.4 X-Ray
    • 3.4.1 Overview
    • 3.4.2 Market Sizing and Forecast
  • 3.5 Others
    • 3.5.1 Overview
    • 3.5.2 Market Sizing and Forecast

4 Global AI-Enabled Medical Imaging Solutions Market (by Deployment Model), $Million, 2024-2036

  • 4.1 Cloud- and Web-Based Solutions
    • 4.1.1 Overview
    • 4.1.2 Market Sizing and Forecast
  • 4.2 On-Premises Solutions
    • 4.2.1 Overview
    • 4.2.2 Market Sizing and Forecast

5 Global AI-Enabled Medical Imaging Solutions Market (by Workflow), $Million, 2024-2036

  • 5.1 Image Acquisition
    • 5.1.1 Overview
    • 5.1.2 Market Sizing and Forecast
  • 5.2 Image Analysis
    • 5.2.1 Overview
    • 5.2.2 Market Sizing and Forecast
  • 5.3 Detection
    • 5.3.1 Overview
    • 5.3.2 Market Sizing and Forecast
  • 5.4 Diagnosis and Treatment Decision Support
    • 5.4.1 Overview
    • 5.4.2 Market Sizing and Forecast
  • 5.5 Predictive Analysis and Risk Assessment
    • 5.5.1 Overview
    • 5.5.2 Market Sizing and Forecast
  • 5.6 Triage
    • 5.6.1 Overview
    • 5.6.2 Market Sizing and Forecast
  • 5.7 Reporting and Communication
    • 5.7.1 Overview
    • 5.7.2 Market Sizing and Forecast

6 Global AI-Enabled Medical Imaging Solutions Market (by Application), $Million, 2024-2036

  • 6.1 Specialty Imaging
    • 6.1.1 Overview
    • 6.1.2 Market Sizing and Forecast
      • 6.1.2.1 Cardiology
      • 6.1.2.2 Oncology
        • 6.1.2.2.1 Lung Cancer
        • 6.1.2.2.2 Breast Cancer
        • 6.1.2.2.3 Other Cancer Types
      • 6.1.2.3 Neurology
      • 6.1.2.4 Respiratory
      • 6.1.2.5 Orthopedics
      • 6.1.2.6 Others
  • 6.2 General Imaging
    • 6.2.1 Overview
    • 6.2.2 Market Sizing and Forecast

7 Global AI-Enabled Medical Imaging Solutions Market (by Region), $Million, 2024-2036

  • 7.1 North America
    • 7.1.1 Regional Overview
    • 7.1.2 Driving Factors for Market Growth
    • 7.1.3 Factors Challenging the Market
    • 7.1.4 Analyst View
    • 7.1.5 Market Sizing and Forecast
      • 7.1.5.1 North America AI-Enabled Medical Imaging Solutions Market, by Country
        • 7.1.5.1.1 U.S.
          • 7.1.5.1.1.1 Country Overview
          • 7.1.5.1.1.2 Driving Factors for Market Growth
          • 7.1.5.1.1.3 Factors Challenging the Market
          • 7.1.5.1.1.4 Analyst View
          • 7.1.5.1.1.5 Market Sizing and Forecast
        • 7.1.5.1.2 Canada
          • 7.1.5.1.2.1 Country Overview
          • 7.1.5.1.2.2 Driving Factors for Market Growth
          • 7.1.5.1.2.3 Factors Challenging the Market
          • 7.1.5.1.2.4 Analyst View
          • 7.1.5.1.2.5 Market Sizing and Forecast
  • 7.2 Europe
    • 7.2.1 Regional Overview
    • 7.2.2 Driving Factors for Market Growth
    • 7.2.3 Factors Challenging the Market
    • 7.2.4 Analyst View
    • 7.2.5 Market Sizing and Forecast
      • 7.2.5.1 Europe AI-Enabled Medical Imaging Solutions Market, by Country
        • 7.2.5.1.1 U.K.
          • 7.2.5.1.1.1 Country Overview
          • 7.2.5.1.1.2 Driving Factors for Market Growth
          • 7.2.5.1.1.3 Factors Challenging the Market
          • 7.2.5.1.1.4 Analyst View
          • 7.2.5.1.1.5 Market Sizing and Forecast
        • 7.2.5.1.2 Germany
          • 7.2.5.1.2.1 Country Overview
          • 7.2.5.1.2.2 Driving Factors for Market Growth
          • 7.2.5.1.2.3 Factors Challenging the Market
          • 7.2.5.1.2.4 Analyst View
          • 7.2.5.1.2.5 Market Sizing and Forecast
        • 7.2.5.1.3 France
          • 7.2.5.1.3.1 Country Overview
          • 7.2.5.1.3.2 Driving Factors for Market Growth
          • 7.2.5.1.3.3 Factors Challenging the Market
          • 7.2.5.1.3.4 Analyst View
          • 7.2.5.1.3.5 Market Sizing and Forecast
        • 7.2.5.1.4 Italy
          • 7.2.5.1.4.1 Country Overview
          • 7.2.5.1.4.2 Driving Factors for Market Growth
          • 7.2.5.1.4.3 Factors Challenging the Market
          • 7.2.5.1.4.4 Analyst View
          • 7.2.5.1.4.5 Market Sizing and Forecast
        • 7.2.5.1.5 Spain
          • 7.2.5.1.5.1 Country Overview
          • 7.2.5.1.5.2 Driving Factors for Market Growth
          • 7.2.5.1.5.3 Factors Challenging the Market
          • 7.2.5.1.5.4 Analyst View
          • 7.2.5.1.5.5 Market Sizing and Forecast
        • 7.2.5.1.6 Switzerland
          • 7.2.5.1.6.1 Country Overview
          • 7.2.5.1.6.2 Driving Factors for Market Growth
          • 7.2.5.1.6.3 Factors Challenging the Market
          • 7.2.5.1.6.4 Analyst View
          • 7.2.5.1.6.5 Market Sizing and Forecast
        • 7.2.5.1.7 Sweden
          • 7.2.5.1.7.1 Country Overview
          • 7.2.5.1.7.2 Driving Factors for Market Growth
          • 7.2.5.1.7.3 Factors Challenging the Market
          • 7.2.5.1.7.4 Analyst View
          • 7.2.5.1.7.5 Market Sizing and Forecast
        • 7.2.5.1.8 Netherlands
          • 7.2.5.1.8.1 Country Overview
          • 7.2.5.1.8.2 Driving Factors for Market Growth
          • 7.2.5.1.8.3 Factors Challenging the Market
          • 7.2.5.1.8.4 Analyst View
          • 7.2.5.1.8.5 Market Sizing and Forecast
        • 7.2.5.1.9 Rest-of-Europe
          • 7.2.5.1.9.1 Country Overview
          • 7.2.5.1.9.2 Driving Factors for Market Growth
          • 7.2.5.1.9.3 Factors Challenging the Market
          • 7.2.5.1.9.4 Analyst View
          • 7.2.5.1.9.5 Market Sizing and Forecast
  • 7.3 Asia-Pacific
    • 7.3.1 Regional Overview
    • 7.3.2 Driving Factors for Market Growth
    • 7.3.3 Factors Challenging the Market
    • 7.3.4 Analyst View
    • 7.3.5 Market Sizing and Forecast
      • 7.3.5.1 Asia-Pacific AI-Enabled Medical Imaging Solutions Market, by Country
        • 7.3.5.1.1 China
          • 7.3.5.1.1.1 Country Overview
          • 7.3.5.1.1.2 Driving Factors for Market Growth
          • 7.3.5.1.1.3 Factors Challenging the Market
          • 7.3.5.1.1.4 Analyst View
          • 7.3.5.1.1.5 Market Sizing and Forecast
        • 7.3.5.1.2 Japan
          • 7.3.5.1.2.1 Country Overview
          • 7.3.5.1.2.2 Driving Factors for Market Growth
          • 7.3.5.1.2.3 Factors Challenging the Market
          • 7.3.5.1.2.4 Analyst View
          • 7.3.5.1.2.5 Market Sizing and Forecast
        • 7.3.5.1.3 Australia and New Zealand
          • 7.3.5.1.3.1 Country Overview
          • 7.3.5.1.3.2 Driving Factors for Market Growth
          • 7.3.5.1.3.3 Factors Challenging the Market
          • 7.3.5.1.3.4 Analyst View
          • 7.3.5.1.3.5 Market Sizing and Forecast
        • 7.3.5.1.4 South Korea
          • 7.3.5.1.4.1 Country Overview
          • 7.3.5.1.4.2 Driving Factors for Market Growth
          • 7.3.5.1.4.3 Factors Challenging the Market
          • 7.3.5.1.4.4 Analyst View
          • 7.3.5.1.4.5 Market Sizing and Forecast
        • 7.3.5.1.5 Singapore
          • 7.3.5.1.5.1 Country Overview
          • 7.3.5.1.5.2 Driving Factors for Market Growth
          • 7.3.5.1.5.3 Factors Challenging the Market
          • 7.3.5.1.5.4 Analyst View
          • 7.3.5.1.5.5 Market Sizing and Forecast
        • 7.3.5.1.6 Rest-of-Asia-Pacific
          • 7.3.5.1.6.1 Country Overview
          • 7.3.5.1.6.2 Driving Factors for Market Growth
          • 7.3.5.1.6.3 Factors Challenging the Market
          • 7.3.5.1.6.4 Analyst View
          • 7.3.5.1.6.5 Market Sizing and Forecast
  • 7.4 Rest-of-the-World
    • 7.4.1 Regional Overview
    • 7.4.2 Driving Factors for Market Growth
    • 7.4.3 Factors Challenging the Market
    • 7.4.4 Analyst View
    • 7.4.5 Market Sizing and Forecast
      • 7.4.5.1 Rest-of-the-World AI-Enabled Medical Imaging Solutions Market, by Country
        • 7.4.5.1.1 Israel
          • 7.4.5.1.1.1 Regional Overview
          • 7.4.5.1.1.2 Driving Factors for Market Growth
          • 7.4.5.1.1.3 Factors Challenging the Market
          • 7.4.5.1.1.4 Analyst View
          • 7.4.5.1.1.5 Market Sizing and Forecast
        • 7.4.5.1.2 Brazil
          • 7.4.5.1.2.1 Regional Overview
          • 7.4.5.1.2.2 Driving Factors for Market Growth
          • 7.4.5.1.2.3 Factors Challenging the Market
          • 7.4.5.1.2.4 Analyst View
          • 7.4.5.1.2.5 Market Sizing and Forecast
        • 7.4.5.1.3 Mexico
          • 7.4.5.1.3.1 Regional Overview
          • 7.4.5.1.3.2 Driving Factors for Market Growth
          • 7.4.5.1.3.3 Factors Challenging the Market
          • 7.4.5.1.3.4 Analyst View
          • 7.4.5.1.3.5 Market Sizing and Forecast
        • 7.4.5.1.4 Rest-of-Rest-of-the-World
          • 7.4.5.1.4.1 Regional Overview
          • 7.4.5.1.4.2 Driving Factors for Market Growth
          • 7.4.5.1.4.3 Factors Challenging the Market
          • 7.4.5.1.4.4 Analyst View
          • 7.4.5.1.4.5 Market Sizing and Forecast

8 Competitive Benchmarking and Company Profiles

  • 8.1 Key Strategies and Developments, January 2023-March 2026
  • 8.2 Key Developments Analysis (by Company)
  • 8.3 Company Profiles
    • 8.3.1 Agfa-Gevaert Group
      • 8.3.1.1 Overview
      • 8.3.1.2 Top Products/Product Portfolio
      • 8.3.1.3 Top Competitors
      • 8.3.1.4 Target Customers
      • 8.3.1.5 Key Personnel
      • 8.3.1.6 Analyst View
    • 8.3.2 Aidoc
      • 8.3.2.1 Overview
      • 8.3.2.2 Top Products/Product Portfolio
      • 8.3.2.3 Top Competitors
      • 8.3.2.4 Target Customers
      • 8.3.2.5 Key Personnel
      • 8.3.2.6 Analyst View
    • 8.3.3 Butterfly Network, Inc.
      • 8.3.3.1 Overview
      • 8.3.3.2 Top Products/Product Portfolio
      • 8.3.3.3 Top Competitors
      • 8.3.3.4 Target Customers
      • 8.3.3.5 Key Personnel
      • 8.3.3.6 Analyst View
    • 8.3.4 Canon Inc.
      • 8.3.4.1 Overview
      • 8.3.4.2 Top Products/Product Portfolio
      • 8.3.4.3 Top Competitors
      • 8.3.4.4 Target Customers
      • 8.3.4.5 Key Personnel
      • 8.3.4.6 Analyst View
    • 8.3.5 Carestream Health Inc.
      • 8.3.5.1 Overview
      • 8.3.5.2 Top Products/Product Portfolio
      • 8.3.5.3 Top Competitors
      • 8.3.5.4 Target Customers
      • 8.3.5.5 Key Personnel
      • 8.3.5.6 Analyst View
    • 8.3.6 FUJIFILM Holdings Corporation
      • 8.3.6.1 Overview
      • 8.3.6.2 Top Products/Product Portfolio
      • 8.3.6.3 Top Competitors
      • 8.3.6.4 Target Customers
      • 8.3.6.5 Key Personnel
      • 8.3.6.6 Analyst View
    • 8.3.7 General Electric Company
      • 8.3.7.1 Overview
      • 8.3.7.2 Top Products/Product Portfolio
      • 8.3.7.3 Top Competitors
      • 8.3.7.4 Target Customers
      • 8.3.7.5 Key Personnel
      • 8.3.7.6 Analyst View
    • 8.3.8 Hologic, Inc.
      • 8.3.8.1 Overview
      • 8.3.8.2 Top Products/Product Portfolio
      • 8.3.8.3 Top Competitors
      • 8.3.8.4 Target Customers
      • 8.3.8.5 Key Personnel
      • 8.3.8.6 Analyst View
    • 8.3.9 Lunit Inc.
      • 8.3.9.1 Overview
      • 8.3.9.2 Top Products/Product Portfolio
      • 8.3.9.3 Top Competitors
      • 8.3.9.4 Target Customers
      • 8.3.9.5 Key Personnel
      • 8.3.9.6 Analyst View
    • 8.3.10 Qure.ai
      • 8.3.10.1 Overview
      • 8.3.10.2 Top Products/Product Portfolio
      • 8.3.10.3 Top Competitors
      • 8.3.10.4 Target Customers
      • 8.3.10.5 Key Personnel
      • 8.3.10.6 Analyst View
    • 8.3.11 RadNet, Inc. (DeepHealth, Inc.)
      • 8.3.11.1 Overview
      • 8.3.11.2 Top Products/Product Portfolio
      • 8.3.11.3 Top Competitors
      • 8.3.11.4 Target Customers
      • 8.3.11.5 Key Personnel
      • 8.3.11.6 Analyst View
    • 8.3.12 Koninklijke Philips N.V.
      • 8.3.12.1 Overview
      • 8.3.12.2 Top Products/Product Portfolio
      • 8.3.12.3 Top Competitors
      • 8.3.12.4 Target Customers
      • 8.3.12.5 Key Personnel
      • 8.3.12.6 Analyst View
    • 8.3.13 Samsung Electronics Co., Ltd
      • 8.3.13.1 Overview
      • 8.3.13.2 Top Products/Product Portfolio
      • 8.3.13.3 Top Competitors
      • 8.3.13.4 Target Customers
      • 8.3.13.5 Key Personnel
      • 8.3.13.6 Analyst View
    • 8.3.14 Siemens Healthineers AG
      • 8.3.14.1 Overview
      • 8.3.14.2 Top Products/Product Portfolio
      • 8.3.14.3 Top Competitors
      • 8.3.14.4 Target Customers
      • 8.3.14.5 Key Personnel
      • 8.3.14.6 Analyst View
    • 8.3.15 VUNO, Inc.
      • 8.3.15.1 Overview
      • 8.3.15.2 Top Products/Product Portfolio
      • 8.3.15.3 Top Competitors
      • 8.3.15.4 Target Customers
      • 8.3.15.5 Key Personnel
      • 8.3.15.6 Analyst View

9 Research Methodology

  • 9.1 Data Sources
    • 9.1.1 Primary Data Sources
    • 9.1.2 Secondary Data Sources
    • 9.1.3 Data Triangulation
  • 9.2 Market Estimation and Forecast

List of Figures

  • Figure 1: Global AI-Enabled Medical Imaging Solutions Market (by Scenario), $Million, 2024, 2026, and 2036
  • Figure 2: Global AI-Enabled Medical Imaging Solutions Market (by Region), $Million, 2024, 2030, and 2036
  • Figure 3: Global AI-Enabled Medical Imaging Solutions Market (by Modality), $Million, 2024, 2030, and 2036
  • Figure 4: Global AI-Enabled Medical Imaging Solutions Market (by Product), $Million, 2024, 2030, and 2036
  • Figure 5: Global AI-Enabled Medical Imaging Solutions Market (by Deployment Model), $Million, 2024, 2030, and 2036
  • Figure 6: Global AI-Enabled Medical Imaging Solutions Market (by Workflow), $Million, 2024, 2030, and 2036
  • Figure 7: Global AI-Enabled Medical Imaging Solutions Market (by Application), $Million, 2024, 2030, and 2036
  • Figure 8: Cloud Computing-Based Radiology Unit Flowchart
  • Figure 9: Global AI-Enabled Medical Imaging Solutions Market, Opportunity Assessment of Market Trends
  • Figure 10: Regulatory Process for Medical Devices in the U.S.
  • Figure 11: Value Chain for AI-Enabled Medical Imaging Solutions
  • Figure 12: AI in Healthcare
  • Figure 13: FDA Approvals of AI/ML-Enabled Medical Devices, 2020-2025
  • Figure 14: Technological Advancements in AI Medical Imaging
  • Figure 15: Global AI-Enabled Medical Imaging Solutions Market (by Product), $Million, 2024, 2030, and 2036
  • Figure 16: Global AI-Enabled Medical Imaging Solutions Market (Software), $Million, 2024-2036
  • Figure 17: Global AI-Enabled Medical Imaging Solutions Market (Hardware), $Million, 2024-2036
  • Figure 18: Global AI-Enabled Medical Imaging Solutions Market (by Modality), $Million, 2024, 2030, and 2036
  • Figure 19: Global AI-Enabled Medical Imaging Solutions Market (Computed Tomography), $Million, 2024-2036
  • Figure 20: Global AI-Enabled Medical Imaging Solutions Market (Magnetic Resonance Imaging), $Million, 2024-2036
  • Figure 21: Global AI-Enabled Medical Imaging Solutions Market (Ultrasound), $Million, 2024-2036
  • Figure 22: Global AI-Enabled Medical Imaging Solutions Market (X-Ray), $Million, 2024-2036
  • Figure 23: Global AI-Enabled Medical Imaging Solutions Market (Others), $Million, 2024-2036
  • Figure 24: Global AI-Enabled Medical Imaging Solutions Market (by Deployment Model), $Million, 2024, 2030, and 2036
  • Figure 25: Global AI-Enabled Medical Imaging Solutions Market (Cloud- and Web-Based Solutions), $Million, 2024-2036
  • Figure 26: Global AI-Enabled Medical Imaging Solutions Market (On-Premises Solutions), $Million, 2024-2036
  • Figure 27: Global AI-Enabled Medical Imaging Solutions Market (by Workflow), $Million, 2024, 2030, and 2036
  • Figure 28: Global AI-Enabled Medical Imaging Solutions Market (Image Acquisition), $Million, 2024-2036
  • Figure 29: Global AI-Enabled Medical Imaging Solutions Market (Image Analysis), $Million, 2024-2036
  • Figure 30: Global AI-Enabled Medical Imaging Solutions Market (Detection), $Million, 2024-2036
  • Figure 31: Global AI-Enabled Medical Imaging Solutions Market (Diagnosis and Treatment Decision Support), $Million, 2024-2036
  • Figure 32: Global AI-Enabled Medical Imaging Solutions Market (Predictive Analysis and Risk Assessment), $Million, 2024-2036
  • Figure 33: Global AI-Enabled Medical Imaging Solutions Market (Triage), $Million, 2024-2036
  • Figure 34: Global AI-Enabled Medical Imaging Solutions Market (Reporting and Communication), $Million, 2024-2036
  • Figure 35: Global AI-Enabled Medical Imaging Solutions Market (by Application), $Million, 2025, 2030, and 2036
  • Figure 36: Global AI-Enabled Medical Imaging Solutions Market (Specialty Imaging), $Million, 2024-2036
  • Figure 37: Global AI-Enabled Medical Imaging Solutions Market (Cardiology), $Million, 2024-2036
  • Figure 38: Global AI-Enabled Medical Imaging Solutions Market (Oncology), $Million, 2024-2036
  • Figure 39: Global AI-Enabled Medical Imaging Solutions Market (Lung Cancer), $Million, 2024-2036
  • Figure 40: Global AI-Enabled Medical Imaging Solutions Market (Breast Cancer), $Million, 2024-2036
  • Figure 41: Global AI-Enabled Medical Imaging Solutions Market (Other Cancer Types), $Million, 2024-2036
  • Figure 42: Global AI-Enabled Medical Imaging Solutions Market (Neurology), $Million, 2024-2036
  • Figure 43: Global AI-Enabled Medical Imaging Solutions Market (Respiratory), $Million, 2024-2036
  • Figure 44: Global AI-Enabled Medical Imaging Solutions Market (Orthopedics), $Million, 2024-2036
  • Figure 45: Global AI-Enabled Medical Imaging Solutions Market (Others), $Million, 2024-2036
  • Figure 46: Global AI-Enabled Medical Imaging Solutions Market (General Imaging), $Million, 2024-2036
  • Figure 47: North America AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 48: U.S. AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 49: Canada AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 50: Europe AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 51: U.K. AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 52: Germany AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 53: France AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 54: Italy AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 55: Spain AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 56: Switzerland AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 57: Sweden AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 58: Netherlands AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 59: Rest-of-Europe AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 60: Asia-Pacific AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 61: China AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 62: Japan AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 63: Australia and New Zealand AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 64: South Korea AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 65: Singapore AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 66: Rest-of-Asia-Pacific AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 67: Rest-of-the-World AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 68: Israel AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 69: Brazil AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 70: Mexico AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 71: Rest-of-Rest-of-the-World AI-Enabled Medical Imaging Solutions Market, $Million, 2024-2036
  • Figure 72: Key Strategies and Developments, January 2023-March 2026
  • Figure 73: Data Triangulation
  • Figure 74: Top-Down and Bottom-Up Approach
  • Figure 75: Assumptions and Limitations

List of Tables

  • Table 1: Market Snapshot
  • Table 2: Key Collaborations and Partnerships in AI-Enabled Medical Imaging Solutions Domain
  • Table 3: List of Consortia, Associations, and Regulatory Bodies
  • Table 4: Value Chain Stakeholders
  • Table 5: Comparative Diagnostic Accuracy of Traditional Methods vs. AI
  • Table 6: Global AI-Enabled Medical Imaging Solutions Market (by Region), $Million, 2024-2036
  • Table 7: North America AI-Enabled Medical Imaging Solutions Market (by Country), $Million, 2024-2036
  • Table 8: Europe AI-Enabled Medical Imaging Solutions Market (by Country), $Million, 2024-2036
  • Table 9: Asia-Pacific AI-Enabled Medical Imaging Solutions Market (by Country), $Million, 2024-2036
  • Table 10: Rest-of-the-World AI-Enabled Medical Imaging Solutions Market (by Country), $Million, 2024-2036
  • Table 11: Major Key Strategies, January 2023-March 2026