人工智慧在乳房摄影影像领域的市场－全球产业规模、份额、趋势、机会和预测：按组件、显像模式、应用、最终用途、地区和竞争格局划分，2021-2031年

全球乳癌影像人工智慧（AI）市场预计将从 2025 年的 3.2032 亿美元成长到 2031 年的 4.4092 亿美元，复合年增长率为 5.47%。

在这一领域，机器学习和深度学习演算法正被应用于辅助放射科医生，以提高其在分析乳房X光片、超音波和磁振造影等医学影像时检测异常的能力。推动这项发展的主要因素是：全球乳癌发生率的上升以及迫切需要加强筛检项目，从而减轻放射科医生繁重的工作负担。这些工具透过自动化日常任务和优先处理可疑病例来简化临床工作流程，从而解决影像数量快速增长与专家数量有限之间的不平衡问题。

医疗专业人员对这些技术的日益普及表明，他们对这类营运支援的需求日益增长。欧洲放射学会 (ESR) 2024 年的报告显示，48% 的受访会员目前正在使用人工智慧，预计这项技术将产生最大的影响，尤其是在乳房和肿瘤成像领域。然而，阻碍市场扩张的主要挑战在于实施和整合到现有系统中的高成本。复杂的监管要求往往会加剧这些经济障碍，使得资源有限的医疗机构难以采用这些诊断解决方案，从而限制了市场渗透率。

市场驱动因素

放射科医师日益短缺，加上诊断工作量不断增加，是推动人工智慧在乳房摄影应用的首要驱动力。全球医疗系统正面临严重的供需失衡，影像检查数量远超过可用人员，导致医护人员疲惫不堪，诊断延误。因此，人工智慧解决方案正被引入检查分诊和自动报告等环节，以提高这些不堪重负的科室的效率。英国皇家放射学院在2024年6月发布的《2023年临床放射学调查报告》中指出，英国医疗系统面临30%的临床放射科医生缺口，预计到2028年这一数字将恶化至40%。这种短缺正在加速人工智慧的商业化进程。根据 Axis Imaging News 2024 年 5 月的一份报告，美国食品药物管理局(FDA) 在核准名单中新增了 191 种人工智慧驱动的医疗设备，其中 128 种专注于放射学领域，凸显了该行业对人才短缺的积极应对。

同时，全球乳癌发生率的上升使得更完善的筛检通讯协定和更有效率的技术需求日益迫切。随着早期疾病筛检计画的扩展，需要解读的乳房X光片数量激增，给诊断基础设施维持准确性和处理能力带来了巨大压力。根据美国癌症协会于2024年1月发布的《2024-2025年乳癌统计资料》，预计2024年美国将新增约310,720例侵袭性乳癌病例。为了应对不断上升的发病率，能够检测高风险异常的人工智慧演算法正在被应用，以确保病例增加不会导致漏诊或延误治疗。

市场挑战

高昂的实施和整合成本是全球乳癌影像人工智慧市场扩张的主要障碍。实施这些先进的诊断工具需要大量的资金投入，包括购买复杂的软体、必要的硬体升级以及整合复杂的IT基础设施。除了初始成本外，医疗机构还面临持续的支出，例如係统维护、定期软体更新和专业人员培训。对于许多机构，特别是小规模独立诊所和资源有限的机构而言，这些财务负担可能构成障碍，尤其是在目前缺乏能够保证明确投资回报的全面报销模式的情况下。

经济负担是整个产业对人工智慧应用犹豫不决的主要原因。根据欧洲放射学会 (ESR) 2024 年的一项调查，49.5% 的受访者认为「成本」或「预算不足」是临床环境中采用人工智慧的主要障碍。因此，市场成长仍主要集中在资金雄厚的学术机构，而一般医疗机构的采用则停滞不前。这种经济差距有效地限制了市场发展的范围，并减缓了整个产业全球扩张的步伐。

市场趋势

数位乳房断层合成成像人工智慧解决方案的普及，正在解决分析体积影像资料的复杂性问题。由于三维乳房X光乳房X光摄影产生的资料集比传统的二维方法大规模，因此对能够增强病灶可见性并减少假阴性结果的人工智慧演算法的需求日益增长，尤其是在緻密乳房组织中。近期的大规模临床数据也证实了其有效性。在2025年11月发表的新闻稿《突破性自然健康研究证实DeepHealth创新人工智慧辅助乳癌检测工作流程的有效性》中，RadNet报告了超过57.9万名女性的评估结果，显示其人工智慧辅助筛检通讯协定与标准三维乳房X光乳房X光摄影相比，癌症检出率提高了21.6%。

同时，人工智慧供应商与影像设备製造商之间的策略合作正透过将分析功能直接整合到放射学判读环境中，加速市场渗透。这些合作使医疗机构能够在现有基础设施内利用先进的诊断工具，而无需投资于分散的独立软体解决方案。一个显着的例子是，领先的医疗机构正在全面采用这些技术。 2025年4月，《放射学商业》（Radiology Business）在报导题为「领先的医疗机构利用人工智慧改进乳房摄影% 。这凸显了这些商业性协议所带来的营运价值。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球乳房摄影人工智慧市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依组件（硬体、软体）
  • 诊断影像方法（乳房X光检查、超音波影像影像、磁振造影）
  • 按应用领域（筛检、诊断、影像导引切片检查）
  • 依最终使用者（医院/诊所、诊断影像中心、研究机构）划分
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美乳房摄影人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国别分析
  • 我们
  • 加拿大
  • 墨西哥

第七章：欧洲乳房摄影影像人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国别分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区乳房摄影人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国别分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲乳房摄影人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 中东与非洲：国别分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲乳房摄影人工智慧市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国别分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 促进因素
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 近期趋势

第十三章：全球乳房摄影影像人工智慧市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的潜力
• 供应商的议价能力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Visage Imaging, Inc.
• CureMetrix, Inc.
• DeepHealth, Inc.
• GE HealthCare Technologies Inc.
• Hologic, Inc.
• Siemens Healthineers AG
• Fujifilm Holdings Corporation
• Koninklijke Philips NV
• iCAD, Inc.
• Medicalgorithmics SA

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global AI In Breast Imaging Market is projected to expand from USD 320.32 Million in 2025 to USD 440.92 Million by 2031, registering a CAGR of 5.47%. This sector involves the application of machine learning and deep learning algorithms to aid radiologists in analyzing medical imagery, including mammograms, ultrasound, and MRI scans, for enhanced anomaly detection. Growth is primarily driven by the increasing global prevalence of breast cancer, which necessitates robust screening programs, and the critical need to alleviate the workload of overburdened radiologists. By automating routine tasks and prioritizing suspicious cases, these tools address the disparity between surging image volumes and the limited availability of specialists, thereby improving clinical workflow efficiency.

This demand for operational support is evident in the rising utilization of these technologies among practitioners. In 2024, the European Society of Radiology reported that 48% of surveyed members were currently using AI, with the technology expected to have the most significant impact on breast and oncologic imaging. However, a major challenge hindering market expansion is the high cost associated with implementation and integration into existing systems. These financial barriers, often compounded by complex regulatory requirements, prevent resource-constrained healthcare facilities from adopting these diagnostic solutions, effectively restricting broader market penetration.

Market Driver

The growing shortage of radiologists combined with an increasing diagnostic workload serves as the most urgent catalyst for AI adoption in the breast imaging sector. Healthcare systems globally face a critical imbalance where the volume of imaging studies exceeds the available workforce, resulting in burnout and diagnostic delays. AI solutions are consequently being integrated to triage scans and automate reporting, acting as a force multiplier for strained departments. The Royal College of Radiologists noted in their 'Clinical Radiology Census 2023 Report' in June 2024 that the UK healthcare system faces a 30% shortfall of clinical radiologists, which is projected to worsen to 40% by 2028. This scarcity has accelerated commercialization efforts; Axis Imaging News reported in May 2024 that the U.S. FDA added 191 new AI-enabled medical devices to its approved list, with 128 focused on radiology, highlighting the industry's aggressive response to workforce limitations.

Concurrently, the increasing global incidence of breast cancer necessitates more robust screening protocols, further amplifying the need for efficient technologies. As screening programs expand to catch disease earlier, the number of mammograms requiring interpretation is surging, placing immense pressure on diagnostic infrastructure to maintain accuracy and throughput. According to the American Cancer Society's 'Breast Cancer Facts & Figures 2024-2025' released in January 2024, an estimated 310,720 new invasive breast cancer cases are projected to be diagnosed in women in the US during 2024. This escalating prevalence drives the deployment of AI algorithms capable of flagging high-risk anomalies, ensuring that rising case volumes do not result in missed diagnoses or delayed treatments.

Market Challenge

The high cost of implementation and integration constitutes a substantial impediment to the expansion of the global AI in breast imaging market. Deploying these advanced diagnostic tools requires significant capital investment, covering the acquisition of sophisticated software, necessary hardware upgrades, and complex IT infrastructure integration. Beyond the initial outlay, healthcare facilities face ongoing expenses for system maintenance, regular software updates, and specialized staff training. For many organizations, particularly smaller independent practices and resource-constrained clinics, these financial demands are prohibitive, especially given the current lack of comprehensive reimbursement models to ensure a clear return on investment.

This financial strain is a primary reason for the hesitation observed across the industry. According to the European Society of Radiology in 2024, 49.5% of surveyed members identified costs or lack of budget as the main potential barrier to AI implementation in clinical practice. Consequently, market growth remains skewed toward well-funded academic centers, while broader adoption across the general healthcare landscape is stalled. This economic disparity effectively limits the market's reach and decelerates the overall trajectory of global industry expansion.

Market Trends

The proliferation of AI solutions for Digital Breast Tomosynthesis is addressing the complexities of analyzing volumetric imaging data. As 3D mammography generates larger datasets than traditional 2D modalities, AI algorithms are increasingly deployed to enhance lesion conspicuity and reduce false negatives, particularly in dense breast tissue. This efficacy was substantiated by recent large-scale clinical data; RadNet Inc. reported in a November 2025 press release regarding the 'Landmark Nature Health Study Demonstrates the Effectiveness of DeepHealth's Novel AI-Powered Breast Cancer Detection Workflow' that an evaluation involving over 579,000 women revealed their AI-supported screening protocol achieved a 21.6% increase in the cancer detection rate compared to standard 3D mammography.

Simultaneously, strategic alliances between AI vendors and imaging OEMs are accelerating market penetration by embedding analytics directly into radiology reading environments. These collaborations allow healthcare providers to access advanced diagnostic tools within their existing infrastructure rather than investing in fragmented, standalone software solutions. A notable instance involves major institutions securing comprehensive access to such technologies; Radiology Business reported in April 2025 in the article 'Big-name healthcare orgs tap AI to improve breast imaging workflows' that Therapixel's partnership to integrate its MammoScreen software at Mayo Clinic increased radiologist interpretation speeds by approximately 35%, underscoring the operational value driving these commercial agreements.

Key Market Players

• Visage Imaging, Inc.
• CureMetrix, Inc.
• DeepHealth, Inc.
• GE HealthCare Technologies Inc.
• Hologic, Inc.
• Siemens Healthineers AG
• Fujifilm Holdings Corporation
• Koninklijke Philips N.V.
• iCAD, Inc.
• Medicalgorithmics SA

Report Scope

In this report, the Global AI In Breast Imaging Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI In Breast Imaging Market, By Component

• Hardware
• Software

AI In Breast Imaging Market, By Imaging Modality

• Mammography
• Ultrasound Imaging
• MRI

AI In Breast Imaging Market, By Application

• Screening
• Diagnostics
• Image-guided Biopsy

AI In Breast Imaging Market, By End Use

• Hospitals & Clinics
• Diagnostic Imaging Centers
• Research Institutes

AI In Breast Imaging Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI In Breast Imaging Market.

Available Customizations:

Global AI In Breast Imaging Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI In Breast Imaging Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Hardware, Software)
  • 5.2.2. By Imaging Modality (Mammography, Ultrasound Imaging, MRI)
  • 5.2.3. By Application (Screening, Diagnostics, Image-guided Biopsy)
  • 5.2.4. By End Use (Hospitals & Clinics, Diagnostic Imaging Centers, Research Institutes)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. Market Map

6. North America AI In Breast Imaging Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Imaging Modality
  • 6.2.3. By Application
  • 6.2.4. By End Use
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AI In Breast Imaging Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Imaging Modality
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By End Use
  • 6.3.2. Canada AI In Breast Imaging Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Imaging Modality
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By End Use
  • 6.3.3. Mexico AI In Breast Imaging Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Imaging Modality
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By End Use

7. Europe AI In Breast Imaging Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Imaging Modality
  • 7.2.3. By Application
  • 7.2.4. By End Use
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AI In Breast Imaging Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Imaging Modality
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By End Use
  • 7.3.2. France AI In Breast Imaging Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Imaging Modality
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By End Use
  • 7.3.3. United Kingdom AI In Breast Imaging Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Imaging Modality
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By End Use
  • 7.3.4. Italy AI In Breast Imaging Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Imaging Modality
      • 7.3.4.2.3. By Application
      • 7.3.4.2.4. By End Use
  • 7.3.5. Spain AI In Breast Imaging Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Imaging Modality
      • 7.3.5.2.3. By Application
      • 7.3.5.2.4. By End Use

8. Asia Pacific AI In Breast Imaging Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Imaging Modality
  • 8.2.3. By Application
  • 8.2.4. By End Use
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AI In Breast Imaging Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Imaging Modality
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By End Use
  • 8.3.2. India AI In Breast Imaging Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Imaging Modality
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By End Use
  • 8.3.3. Japan AI In Breast Imaging Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Imaging Modality
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By End Use
  • 8.3.4. South Korea AI In Breast Imaging Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Imaging Modality
      • 8.3.4.2.3. By Application
      • 8.3.4.2.4. By End Use
  • 8.3.5. Australia AI In Breast Imaging Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Imaging Modality
      • 8.3.5.2.3. By Application
      • 8.3.5.2.4. By End Use

9. Middle East & Africa AI In Breast Imaging Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Imaging Modality
  • 9.2.3. By Application
  • 9.2.4. By End Use
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AI In Breast Imaging Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Imaging Modality
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By End Use
  • 9.3.2. UAE AI In Breast Imaging Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Imaging Modality
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By End Use
  • 9.3.3. South Africa AI In Breast Imaging Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Imaging Modality
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By End Use

10. South America AI In Breast Imaging Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Imaging Modality
  • 10.2.3. By Application
  • 10.2.4. By End Use
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AI In Breast Imaging Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Imaging Modality
      • 10.3.1.2.3. By Application
      • 10.3.1.2.4. By End Use
  • 10.3.2. Colombia AI In Breast Imaging Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Imaging Modality
      • 10.3.2.2.3. By Application
      • 10.3.2.2.4. By End Use
  • 10.3.3. Argentina AI In Breast Imaging Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Imaging Modality
      • 10.3.3.2.3. By Application
      • 10.3.3.2.4. By End Use

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global AI In Breast Imaging Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Visage Imaging, Inc.
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. CureMetrix, Inc.
• 15.3. DeepHealth, Inc.
• 15.4. GE HealthCare Technologies Inc.
• 15.5. Hologic, Inc.
• 15.6. Siemens Healthineers AG
• 15.7. Fujifilm Holdings Corporation
• 15.8. Koninklijke Philips N.V.
• 15.9. iCAD, Inc.
• 15.10. Medicalgorithmics SA

16. Strategic Recommendations

17. About Us & Disclaimer