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AI画像診断の世界市場（2025年～2033年）

Global AI-Powered Imaging Diagnostics Market - 2025-2033

出版日
ページ情報
英文 180 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
AI画像診断の世界市場（2025年～2033年）
出版日: 2025年03月25日
発行: DataM Intelligence
ページ情報: 英文 180 Pages
納期: 即日から翌営業日
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概要

世界のAI画像診断の市場規模は、2024年に16億1,000万米ドルに達し、2033年までに97億3,000万米ドルに達すると予測され、予測期間の2025年～2033年にCAGRで22.3%の成長が見込まれます。

AI画像診断とは、機械学習（ML）、深層学習（DL）、コンピュータービジョンなどのAI技術を使用して医用画像データを分析、解釈、強化し、さまざまな病状の診断を支援することを指します。この技術は、X線、CTスキャン、MRI、マンモグラム、超音波などの画像診断法のような医用画像の処理に先進のアルゴリズムを適用し、パターンの検出、異常の特定、診断予測を行うもので、多くの場合、従来の方法よりも高い精度と速度で行われます。

市場力学

促進要因と抑制要因

診断精度と効率の向上がAI画像診断市場の成長を大きく促進している

AIシステムは、マンモグラムの乳がんを、経験豊富な放射線科医に匹敵する、あるいはそれを上回る精度で検出するために使用されます。偽陽性や偽陰性の数を減らすことで、AIは放射線科医が患者の転帰にとって極めて重要な、より正確な診断を提供できるよう支援します。AIシステムは、より多くのがんを識別し、偽陽性を減少させることで、全体的な診断プロセスを改善しました。このように、画像診断の主要企業はAI画像診断に注力しています。

例えば2025年1月、医療技術の世界的リーダーであるRoyal Philipsは、AIに対応したCT 5300を発売しました。先進のAI機能を搭載したPhilips CT 5300システムは、診断、介入的手術、スクリーニング用に設計されています。このフレキシブルなX線CTシステムは、診断の信頼性を高め、ワークフローの効率を合理化し、システムの稼働時間を最大化することで、患者の転帰と部門の生産性の向上に寄与します。

診断精度の向上に加え、AI画像処理ツールは診断プロセスの効率を大幅に向上させます。AIは医用画像を迅速に処理し、人間の放射線技師よりも早く結果を出すことができます。この効率性の向上は、待ち時間の短縮、患者の処理能力の向上、多忙な臨床環境におけるワークフローの最適化により、医療システムに利益をもたらします。

サイバーセキュリティとデータセキュリティのリスクが市場成長を妨げる

AI画像診断市場が成長を続ける中、サイバーセキュリティとデータセキュリティに関する重大な懸念が存在し、これらの技術の普及と発展を妨げる可能性があります。AIを搭載した診断ツールは、医用画像、診断結果、個人の健康情報など、膨大な量の機密性の高い患者データの収集、保存、分析に大きく依存しているため、こうしたリスクは特に重要です。

AI画像診断システムは、多くの場合クラウド環境や医療情報システムに保存されている医用画像の大規模なデータセットに依存しています。これらのシステムは、強力なAI機能を実現する一方で、データ漏洩や不正アクセスに対する重大な脆弱性を生み出しています。サイバー攻撃により、画像診断用のAIツールが導入されている医療サービスを利用した患者のデータが漏洩しました。この侵害は重大なデータ損失をもたらし、影響を受けた組織に対して複数の訴訟が起こされました。

例えば、HIPAA Journalによると、2023年8月には2,300万件の漏洩した医療記録が明らかになりました。過去12ヶ月間、毎月の平均998万9,003件の医療記録が漏洩しています。2024年8月31日までの1年間で、500件以上のデータ漏洩が491件発生し、少なくとも5,866万8,002件の記録が漏洩したことが判明しています。2024年の平均情報漏洩件数は11万9,487件、中央値は4,109件です。

当レポートでは、世界のAI画像診断市場について調査し、市場力学、地域とセグメントの分析、競合情勢、企業プロファイルなどを提供しています。

目次

第1章 市場のイントロダクションと範囲

第2章 エグゼクティブインサイトと重要事項

  • 市場のハイライトと戦略的ポイント
  • 主要動向と将来の予測
  • 抜粋：コンポーネント別
  • 抜粋：画像診断法別
  • 抜粋：用途別
  • 抜粋：エンドユーザー別
  • 抜粋：地域別

第3章 市場力学

  • 影響要因
    • 促進要因
      • 診断精度と効率の向上
      • 疾患の早期発見への需要の高まり
    • 抑制要因
      • サイバーセキュリティとデータセキュリティのリスク
      • AIの意思決定における倫理的・法的課題
    • 機会
      • 新興市場への拡大
    • 影響の分析

第4章 戦略的考察と産業の見通し

  • マーケットリーダーとパイオニア
    • 新興パイオニアと著名企業
    • 最大のマーケティングブランドを持つ確立されたリーダー
    • マーケットリーダーと確立された製品
  • 最新の発展とブレークスルー
  • 規制と償還の情勢
    • 北米
    • 欧州
    • アジア太平洋
    • ラテンアメリカ
    • 中東・アフリカ
  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 特許分析
  • SWOT分析
  • アンメットニーズとギャップ
  • 市場参入と拡大に対し推奨される戦略
  • シナリオ分析：ベストケース、ベースケース、ワーストケースの予測
  • 価格分析と価格動向
  • キーオピニオンリーダー

第5章 AI画像診断市場：コンポーネント別

  • ソフトウェア
  • ハードウェア
  • サービス

第6章 AI画像診断市場：画像診断法別

  • CT
  • X線画像
  • MRI
  • 超音波画像診断
  • マンモグラフィ
  • PET
  • その他

第7章 AI画像診断市場：用途別

  • 放射線
  • 心臓
  • 眼科
  • 腫瘍
  • 神経
  • 整形外科
  • 歯科
  • その他

第8章 AI画像診断市場：エンドユーザー別

  • 病院
  • 専門クリニック
  • 診断センター
  • 研究・学術機関
  • その他

第9章 AI画像診断市場：地域別、市場の分析と成長機会

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • スペイン
    • イタリア
    • その他の欧州
  • ラテンアメリカ
    • メキシコ
    • ブラジル
    • アルゼンチン
    • その他の南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他のアジア太平洋
  • 中東・アフリカ

第10章 競合情勢と市場ポジショニング

  • 競合情勢の概要と主要市場企業
  • 市場シェア分析とポジショニングマトリクス
  • 戦略的パートナーシップ、合併・買収
  • 製品ポートフォリオとイノベーションにおける主な発展
  • 企業ベンチマーク

第11章 企業プロファイル

  • deepc GmbH
  • Qure.ai Technologies Private Limited
  • DeepTek.ai, Inc
  • Koninklijke Philips NV
  • Tempus AI, Inc.
  • Rayscape
  • Infervision
  • AIKENIST
  • Rad AI
  • Brainomix Limited

第12章 前提条件と調査手法

第13章 付録

目次
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