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市場調查報告書
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1696285

全球人工智慧影像診斷市場 - 2025 至 2033 年

Global AI-Powered Imaging Diagnostics Market - 2025-2033
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球人工智慧影像診斷市場規模達到 16.1 億美元，預計到 2033 年將達到 97.3 億美元，2025-2033 年預測期間的複合年成長率為 22.3%。

人工智慧影像診斷是指使用機器學習 (ML)、深度學習 (DL) 和電腦視覺等人工智慧 (AI) 技術來分析、解釋和增強醫學影像資料，以輔助診斷各種醫療狀況。該技術採用先進的演算法處理醫學影像，如X光、CT掃描、MRI、乳房X光檢查、超音波和其他影像方式，以檢測模式、識別異常並做出診斷預測，通常比傳統方法具有更高的準確性和速度。

市場動態：

促進因素與約束因素

診斷準確性和效率的提高顯著推動了人工智慧成像診斷市場的成長

人工智慧系統用於在乳房X光檢查中檢測乳癌，其準確度與經驗豐富的放射科醫生相當甚至超過他們。透過減少假陽性和假陰性的數量，人工智慧可以幫助放射科醫生提供更準確的診斷，這對患者的治療結果至關重要。人工智慧系統識別了更多的癌症並減少了假陽性，從而改善了整體診斷過程。因此，影像診斷領域的主要參與者都專注於人工智慧影像診斷。

例如，2025年1月，全球醫療技術領導者荷蘭皇家飛利浦推出了支援人工智慧的CT 5300。飛利浦CT 5300系統配備先進的人工智慧功能，專為診斷、介入手術和篩檢而設計。靈活的X光CT系統提高了診斷信心、簡化了工作流程效率、並最大限度地延長了系統正常運作時間，有助於改善病患的治療效果和部門的工作效率。

除了提高診斷準確性之外，人工智慧成像工具還顯著提高了診斷過程的效率。人工智慧可以快速處理醫學影像，比人類放射科醫生更快地提供結果。透過減少等待時間、提高患者吞吐量以及最佳化繁忙的臨床環境中的工作流程，效率的提高使醫療保健系統受益。

網路安全和資料安全風險阻礙市場成長

隨著人工智慧成像診斷市場持續成長，人們對網路安全和資料安全的擔憂日益加劇，這可能會阻礙這些技術的廣泛應用和發展。這些風險尤其重要，因為人工智慧診斷工具嚴重依賴大量敏感患者資料的收集、儲存和分析，包括醫學影像、診斷結果和個人健康資訊。

人工智慧成像診斷系統依賴大量的醫學影像資料集，這些資料集通常儲存在雲端環境或醫療保健資訊系統中。這些系統在實現強大的人工智慧功能的同時，也帶來了資料外洩和未經授權存取的嚴重漏洞。此次網路攻擊洩漏了使用人工智慧成像診斷工具的醫療服務的患者的資料。這次洩密事件導致了大量資料遺失，受影響的組織遭到了多起訴訟。

例如，根據《HIPAA雜誌》報導，2023 年 8 月，人們發現有 2,300 萬份醫療記錄被洩露。在過去的 12 個月中，平均每月有 9,989,003 份醫療記錄被洩露。截至 2024 年 8 月 31 日的一年中，已發生 491 起涉及 500 筆或更多記錄的資料外洩事件，已知外洩記錄至少有 58,668,002 則。 2024 年的平均洩漏記錄規模目前為 119,487 筆記錄，中位洩漏記錄規模為 4,109 筆記錄。

目錄

第1章：市場介紹和範圍

  • 報告目標
  • 報告範圍和定義
  • 報告範圍

第 2 章：高階主管見解與關鍵要點

  • 市場亮點和戰略要點
  • 主要趨勢和未來預測
  • 按組件截取片段
  • 影像方式片段
  • 按應用程式截取的程式碼片段
  • 最終用戶的程式碼片段
  • 按地區分類

第 3 章：動態

  • 影響因素
    • 驅動程式
      • 提高診斷準確性和效率
      • 疾病早期檢測需求不斷成長
    • 限制
      • 網路安全與資料安全風險
      • 人工智慧決策中的倫理與法律挑戰
    • 機會
      • 新興市場擴張
    • 影響分析

第4章：戰略洞察與產業展望

  • 市場領導者和先驅者
    • 新興先鋒和傑出參與者
    • 擁有最大行銷品牌的既定領導者
    • 擁有成熟產品的市場領導者
  • 最新進展與突破
  • 監管和報銷情況
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲
  • 波特五力分析
  • 供應鏈分析
  • 專利分析
  • SWOT 分析
  • 未滿足的需求和差距
  • 市場進入和擴張的推薦策略
  • 情境分析：最佳情況、基本情況和最壞情況預測
  • 定價分析和價格動態
  • 關鍵意見領袖

第 5 章：人工智慧影像診斷市場（按組件分類）

  • 軟體
  • 硬體
  • 服務

第 6 章：人工智慧影像診斷市場（以影像方式分類）

  • 電腦斷層掃描 (CT)
  • X 光影像
  • 磁振造影（MRI）
  • 超音波成像
  • 乳房X光檢查
  • 正子斷層掃描 (PET)
  • 其他

第 7 章：人工智慧影像診斷市場（按應用分類）

  • 放射科
  • 心臟病學
  • 眼科
  • 腫瘤學
  • 神經病學
  • 骨科
  • 牙科
  • 其他

第 8 章：人工智慧影像診斷市場（按最終用戶分類）

  • 醫院
  • 專科診所
  • 診斷中心
  • 研究與學術機構
  • 其他

第 9 章：人工智慧成像診斷市場，按區域市場分析和成長機會

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 拉丁美洲
    • 墨西哥
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 中東和非洲

第 10 章：競爭格局與市場定位

  • 競爭概況和主要市場參與者
  • 市佔率分析與定位矩陣
  • 策略夥伴關係、併購
  • 產品組合和創新的關鍵發展
  • 公司基準化分析

第 11 章：公司簡介

  • deepc GmbH
    • 公司概況
    • 產品組合
      • 產品描述
      • 產品關鍵績效指標 (KPI)
      • 歷史和預測產品銷售量
      • 產品銷售量
    • 財務概覽
      • 公司收入
      • 地區收入佔有率
      • 收入預測
    • 關鍵進展
      • 合併與收購
      • 關鍵產品開發活動
      • 監管部門批准等
    • SWOT 分析
  • Qure.ai Technologies Private Limited
  • DeepTek.ai, Inc
  • Koninklijke Philips NV
  • Tempus AI, Inc.
  • Rayscape
  • Infervision
  • AIKENIST
  • Rad AI
  • Brainomix Limited

第 12 章：假設與研究方法

  • 資料收集方法
  • 數據三角測量
  • 預測技術
  • 數據驗證和確認

第 13 章：附錄

簡介目錄
Product Code: MI9418

The global AI-powered imaging diagnostics market size reached US$ 1.61 billion in 2024 and is expected to reach US$ 9.73 billion by 2033, growing at a CAGR of 22.3% during the forecast period 2025-2033.

AI-powered imaging diagnostics refers to the use of artificial intelligence (AI) technologies, such as machine learning (ML), deep learning (DL), and computer vision, to analyze, interpret, and enhance medical imaging data to aid in the diagnosis of various medical conditions. This technology applies advanced algorithms to process medical images like X-rays, CT scans, MRIs, mammograms, ultrasounds, and other imaging modalities to detect patterns, identify abnormalities, and make diagnostic predictions, often with higher accuracy and speed than traditional methods.

Market Dynamics: Drivers & Restraints

Improved diagnostic accuracy and efficiency are significantly driving the AI-powered imaging diagnostics market growth

AI systems are used to detect breast cancer in mammograms with a level of accuracy comparable to or even exceeding that of experienced radiologists. By reducing the number of false positives and false negatives, AI aids radiologists in providing a more accurate diagnosis, which is crucial for patient outcomes. The AI system identified more cancers and reduced false positives, thus improving the overall diagnostic process. Thus, major players in imaging diagnostics are focusing on AI-enabled imaging diagnostics.

For instance, in January 2025, Royal Philips, a global leader in health technology, launched the AI-enabled CT 5300. Philips CT 5300 system, equipped with advanced AI capabilities, is designed for diagnosis, interventional procedures, and screening. The flexible X-ray CT system increases diagnostic confidence, streamlines workflow efficiency, and maximizes system up-time, helping to improve patient outcomes and department productivity.

In addition to enhancing diagnostic accuracy, AI-powered imaging tools significantly improve the efficiency of the diagnostic process. AI can rapidly process medical images, delivering results faster than human radiologists. This increased efficiency benefits healthcare systems by reducing wait times, improving patient throughput, and optimizing workflows in busy clinical environments.

Cybersecurity and data security risks hampering market growth

As the AI-powered imaging diagnostics market continues to grow, there are significant concerns about cybersecurity and data security that can hinder the widespread adoption and advancement of these technologies. These risks are particularly important because AI-powered diagnostic tools depend heavily on the collection, storage, and analysis of vast amounts of sensitive patient data, including medical images, diagnostic results, and personal health information.

AI-powered imaging diagnostics systems rely on large datasets of medical images, which are often stored in cloud environments or healthcare information systems. These systems, while enabling powerful AI capabilities, also create significant vulnerabilities to data breaches and unauthorized access. The cyberattack compromised the data of patients who had used healthcare services where AI tools for imaging diagnostics were being implemented. The breach resulted in significant data loss, and multiple lawsuits were filed against the affected organizations.

For instance, according to the HIPAA Journal, in August 2023, 23 million breached healthcare records were noticed. Over the past 12 months, an average of 9,989,003 healthcare records were breached each month. In the year to August 31, 2024, there have been 491 data breaches of 500 or more records, and at least 58,668,002 records are known to have been breached. The average breach size in 2024 is currently 119,487 records, and the median breach size is 4,109 records.

Segment Analysis

The global AI-powered imaging diagnostics market is segmented based on component, imaging modality, application, end-user, and region.

Application:

The radiology from application segment is expected to dominate the AI-powered imaging diagnostics market with the highest market share

Radiology generates a vast amount of imaging data, making it a key area where AI can significantly contribute. AI can analyze large datasets of medical images quickly and accurately, identifying patterns or anomalies that may not be immediately visible to human radiologists. AI-powered tools are already demonstrating their ability to improve diagnostic accuracy and reduce errors in radiology.

For instance, in September 2024, harrison.ai launched Harrison.rad.1, a radiology-specific vision language model. It represents a major breakthrough in applying AI to tackle the global healthcare challenge. The model is now being made accessible to selected industry partners, healthcare professionals, and regulators around the world to spark collective conversations about the safe, responsible, and ethical use of AI to revolutionise healthcare access and capability and to improve patient outcomes.

AI has a significant advantage in terms of speed. AI systems can analyze images in seconds, compared to the much longer time it takes human radiologists. This helps in time-sensitive scenarios like stroke diagnosis, where the rapid assessment of imaging data can significantly impact patient outcomes. AI's ability to reduce false positives and false negatives has proven valuable in reducing diagnostic errors.

Geographical Analysis

North America is expected to hold a significant position in the global AI-powered imaging diagnostics market with the highest market share

North America is a global leader in healthcare innovation and AI research. The region is home to some of the world's top universities, research institutions, and technology companies that are pushing the boundaries of AI in healthcare. This continuous innovation ensures that North America, especially the United States, maintains its leadership position in AI healthcare technologies.

For instance, the U.S. healthcare market is one of the largest in the world, with healthcare spending grew 4.1 percent in 2022, reaching $4.5 trillion or $13,493 per person, according to the Centers for Medicare & Medicaid Services (CMS). This substantial investment supports the adoption of cutting-edge technologies like AI in medical imaging to improve diagnostic accuracy and efficiency.

North America's dominance in the AI-powered imaging diagnostics market is driven by its technological leadership, high healthcare spending, government support, and the presence of major AI and healthcare companies. The combination of advanced infrastructure, regulatory support, and robust investment in AI innovation positions North America at the forefront of the AI-powered medical imaging sector. With continued advancements in AI technology, North America is expected to remain the largest market for AI-powered diagnostic tools, significantly shaping the future of healthcare diagnostics.

Competitive Landscape

Top companies in the AI-powered imaging diagnostics market includes deepc GmbH, Qure.ai Technologies Private Limited, DeepTek.ai, Inc, Koninklijke Philips N.V., Tempus AI, Inc., Rayscape, Infervision, AIKENIST, Rad AI, Brainomix Limited, and among others.

Why Purchase the Report?

  • Pipeline & Innovations: Reviews ongoing clinical trials, product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
  • Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
  • Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
  • Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
  • Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
  • Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
  • Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
  • Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
  • Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
  • Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
  • Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
  • Post-market Surveillance: Uses post-market data to enhance product safety and access.
  • Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global AI-powered imaging diagnostics market report delivers a detailed analysis with 70 key tables, more than 60 visually impactful figures and 172 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2024

  • Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
  • Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
  • Technology & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
  • Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
  • Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
  • Supply Chain: Distribution and Supply Chain Managers.
  • Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
  • Academic & Research: Academic Institutions.

Table of Contents

1. Market Introduction and Scope

  • 1.1. Objectives of the Report
  • 1.2. Report Coverage & Definitions
  • 1.3. Report Scope

2. Executive Insights and Key Takeaways

  • 2.1. Market Highlights and Strategic Takeaways
  • 2.2. Key Trends and Future Projections
  • 2.3. Snippet by Component
  • 2.4. Snippet by Imaging Modality
  • 2.5. Snippet by Application
  • 2.6. Snippet by End-User
  • 2.7. Snippet by Region

3. Dynamics

  • 3.1. Impacting Factors
    • 3.1.1. Drivers
      • 3.1.1.1. Improved Diagnostic Accuracy and Efficiency
      • 3.1.1.2. Rising Demand for Early Detection of Diseases
    • 3.1.2. Restraints
      • 3.1.2.1. Cybersecurity and Data Security Risks
      • 3.1.2.2. Ethical and Legal Challenges in AI Decision-Making
    • 3.1.3. Opportunity
      • 3.1.3.1. Expansion in Emerging Markets
    • 3.1.4. Impact Analysis

4. Strategic Insights and Industry Outlook

  • 4.1. Market Leaders and Pioneers
    • 4.1.1. Emerging Pioneers and Prominent Players
    • 4.1.2. Established Leaders with Largest Marketing Brand
    • 4.1.3. Market Leaders with Established Products
  • 4.2. Latest Developments and Breakthroughs
  • 4.3. Regulatory and Reimbursement Landscape
    • 4.3.1. North America
    • 4.3.2. Europe
    • 4.3.3. Asia Pacific
    • 4.3.4. Latin America
    • 4.3.5. Middle East & Africa
  • 4.4. Porter's Five Force Analysis
  • 4.5. Supply Chain Analysis
  • 4.6. Patent Analysis
  • 4.7. SWOT Analysis
  • 4.8. Unmet Needs and Gaps
  • 4.9. Recommended Strategies for Market Entry and Expansion
  • 4.10. Scenario Analysis: Best-Case, Base-Case, and Worst-Case Forecasts
  • 4.11. Pricing Analysis and Price Dynamics
  • 4.12. Key Opinion Leaders

5. AI-Powered Imaging Diagnostics Market, By Component

  • 5.1. Introduction
    • 5.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 5.1.2. Market Attractiveness Index, By Component
  • 5.2. Software*
    • 5.2.1. Introduction
    • 5.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 5.3. Hardware
  • 5.4. Services

6. AI-Powered Imaging Diagnostics Market, By Imaging Modality

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Imaging Modality
    • 6.1.2. Market Attractiveness Index, By Imaging Modality
  • 6.2. Computed Tomography (CT)*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. X-Ray Imaging
  • 6.4. Magnetic Resonance Imaging (MRI)
  • 6.5. Ultrasound Imaging
  • 6.6. Mammography
  • 6.7. Positron Emission Tomography (PET)
  • 6.8. Others

7. AI-Powered Imaging Diagnostics Market, By Application

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 7.1.2. Market Attractiveness Index, By Application
  • 7.2. Radiology*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Cardiology
  • 7.4. Ophthalmology
  • 7.5. Oncology
  • 7.6. Neurology
  • 7.7. Orthopedic
  • 7.8. Dentistry
  • 7.9. Others

8. AI-Powered Imaging Diagnostics Market, By End-User

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 8.1.2. Market Attractiveness Index, By End-User
  • 8.2. Hospitals*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Specialty Clinics
  • 8.4. Diagnostic Centers
  • 8.5. Research & Academic Institutes
  • 8.6. Others

9. AI-Powered Imaging Diagnostics Market, By Regional Market Analysis and Growth Opportunities

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 9.1.2. Market Attractiveness Index, By Region
  • 9.2. North America
    • 9.2.1. Introduction
    • 9.2.2. Key Region-Specific Dynamics
    • 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Imaging Modality
    • 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.2.7.1. U.S.
      • 9.2.7.2. Canada
  • 9.3. Europe
    • 9.3.1. Introduction
    • 9.3.2. Key Region-Specific Dynamics
    • 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Imaging Modality
    • 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.3.7.1. Germany
      • 9.3.7.2. UK
      • 9.3.7.3. France
      • 9.3.7.4. Spain
      • 9.3.7.5. Italy
      • 9.3.7.6. Rest of Europe
  • 9.4. Latin America
    • 9.4.1. Introduction
    • 9.4.2. Key Region-Specific Dynamics
    • 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Imaging Modality
    • 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.4.7.1. Mexico
      • 9.4.7.2. Brazil
      • 9.4.7.3. Argentina
      • 9.4.7.4. Rest of South America
  • 9.5. Asia-Pacific
    • 9.5.1. Introduction
    • 9.5.2. Key Region-Specific Dynamics
    • 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Imaging Modality
    • 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 9.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.5.7.1. China
      • 9.5.7.2. India
      • 9.5.7.3. Japan
      • 9.5.7.4. South Korea
      • 9.5.7.5. Rest of Asia-Pacific
  • 9.6. Middle East and Africa
    • 9.6.1. Introduction
    • 9.6.2. Key Region-Specific Dynamics
    • 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Imaging Modality
    • 9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

10. Competitive Landscape and Market Positioning

  • 10.1. Competitive Overview and Key Market Players
  • 10.2. Market Share Analysis and Positioning Matrix
  • 10.3. Strategic Partnerships, Mergers & Acquisitions
  • 10.4. Key Developments in Product Portfolios and Innovations
  • 10.5. Company Benchmarking

11. Company Profiles

  • 11.1. deepc GmbH*
    • 11.1.1. Company Overview
    • 11.1.2. Product Portfolio
      • 11.1.2.1. Product Description
      • 11.1.2.2. Product Key Performance Indicators (KPIs)
      • 11.1.2.3. Historic and Forecasted Product Sales
      • 11.1.2.4. Product Sales Volume
    • 11.1.3. Financial Overview
      • 11.1.3.1. Company Revenue
      • 11.1.3.2. Geographical Revenue Shares
      • 11.1.3.3. Revenue Forecasts
    • 11.1.4. Key Developments
      • 11.1.4.1. Mergers & Acquisitions
      • 11.1.4.2. Key Product Development Activities
      • 11.1.4.3. Regulatory Approvals, etc.
    • 11.1.5. SWOT Analysis
  • 11.2. Qure.ai Technologies Private Limited
  • 11.3. DeepTek.ai, Inc
  • 11.4. Koninklijke Philips N.V.
  • 11.5. Tempus AI, Inc.
  • 11.6. Rayscape
  • 11.7. Infervision
  • 11.8. AIKENIST
  • 11.9. Rad AI
  • 11.10. Brainomix Limited

LIST NOT EXHAUSTIVE

12. Assumption and Research Methodology

  • 12.1. Data Collection Methods
  • 12.2. Data Triangulation
  • 12.3. Forecasting Techniques
  • 12.4. Data Verification and Validation

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us