Home Healthcare IT Computer-Aided Detection Market Size, Share & Growth Graph by 2034

Computer-Aided Detection Market Size & Outlook, 2026-2034

Computer-Aided Detection Market Size, Share & Trends Analysis Report By Technology (Deep Learning-Based, Machine Learning-Based, Traditional CAD Systems,, Hybrid Models, Others), By Application (Tuberculosis, Breast cancer, Lung cancer, Colon/rectal cancer, Prostate cancer, Liver cancer, Bone cancer, Others (Neurological/musculoskeletal/cardiovascular Indications)), By Indication (X-ray imaging, Computed tomography, Ultrasound imaging, Magnetic resonance imaging, Nuclear medicine imaging, Others) and By Region (North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2026-2034

Report Code: SRHI58094DR
Last Updated: Feb, 2026
Pages: 140
Author: Dhanashri Bhapakar
Format: PDF, Excel

Table Of Content

  1. Executive Summary

    1. Research Objectives
    2. Limitations & Assumptions
    3. Market Scope & Segmentation
    4. Currency & Pricing Considered
    1. Emerging Regions / Countries
    2. Emerging Companies
    3. Emerging Applications / End Use
    1. Drivers
    2. Market Warning Factors
    3. Latest Macro Economic Indicators
    4. Geopolitical Impact
    5. Technology Factors
    1. Porters Five Forces Analysis
    2. Value Chain Analysis
    1. North America
    2. Europe
    3. APAC
    4. Middle East and Africa
    5. LATAM
  2. ESG Trends

    1. Global Computer-Aided Detection Market Introduction
    2. By Technology
      1. Introduction
        1. Technology By Value
      2. Deep Learning-Based
        1. By Value
      3. Machine Learning-Based
        1. By Value
      4. Traditional CAD Systems,
        1. By Value
      5. Hybrid Models
        1. By Value
      6. Others
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Tuberculosis
        1. By Value
      3. Breast cancer
        1. By Value
      4. Lung cancer
        1. By Value
      5. Colon/rectal cancer
        1. By Value
      6. Prostate cancer
        1. By Value
      7. Liver cancer
        1. By Value
      8. Bone cancer
        1. By Value
      9. Others (Neurological/musculoskeletal/cardiovascular Indications)
        1. By Value
    4. By Indication
      1. Introduction
        1. Indication By Value
      2. X-ray imaging
        1. By Value
      3. Computed tomography
        1. By Value
      4. Ultrasound imaging
        1. By Value
      5. Magnetic resonance imaging
        1. By Value
      6. Nuclear medicine imaging
        1. By Value
      7. Others
        1. By Value
    1. Introduction
    2. By Technology
      1. Introduction
        1. Technology By Value
      2. Deep Learning-Based
        1. By Value
      3. Machine Learning-Based
        1. By Value
      4. Traditional CAD Systems,
        1. By Value
      5. Hybrid Models
        1. By Value
      6. Others
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Tuberculosis
        1. By Value
      3. Breast cancer
        1. By Value
      4. Lung cancer
        1. By Value
      5. Colon/rectal cancer
        1. By Value
      6. Prostate cancer
        1. By Value
      7. Liver cancer
        1. By Value
      8. Bone cancer
        1. By Value
      9. Others (Neurological/musculoskeletal/cardiovascular Indications)
        1. By Value
    4. By Indication
      1. Introduction
        1. Indication By Value
      2. X-ray imaging
        1. By Value
      3. Computed tomography
        1. By Value
      4. Ultrasound imaging
        1. By Value
      5. Magnetic resonance imaging
        1. By Value
      6. Nuclear medicine imaging
        1. By Value
      7. Others
        1. By Value
    5. U.S.
      1. By Technology
        1. Introduction
          1. Technology By Value
        2. Deep Learning-Based
          1. By Value
        3. Machine Learning-Based
          1. By Value
        4. Traditional CAD Systems,
          1. By Value
        5. Hybrid Models
          1. By Value
        6. Others
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Tuberculosis
          1. By Value
        3. Breast cancer
          1. By Value
        4. Lung cancer
          1. By Value
        5. Colon/rectal cancer
          1. By Value
        6. Prostate cancer
          1. By Value
        7. Liver cancer
          1. By Value
        8. Bone cancer
          1. By Value
        9. Others (Neurological/musculoskeletal/cardiovascular Indications)
          1. By Value
      3. By Indication
        1. Introduction
          1. Indication By Value
        2. X-ray imaging
          1. By Value
        3. Computed tomography
          1. By Value
        4. Ultrasound imaging
          1. By Value
        5. Magnetic resonance imaging
          1. By Value
        6. Nuclear medicine imaging
          1. By Value
        7. Others
          1. By Value
    6. Canada
    1. Introduction
    2. By Technology
      1. Introduction
        1. Technology By Value
      2. Deep Learning-Based
        1. By Value
      3. Machine Learning-Based
        1. By Value
      4. Traditional CAD Systems,
        1. By Value
      5. Hybrid Models
        1. By Value
      6. Others
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Tuberculosis
        1. By Value
      3. Breast cancer
        1. By Value
      4. Lung cancer
        1. By Value
      5. Colon/rectal cancer
        1. By Value
      6. Prostate cancer
        1. By Value
      7. Liver cancer
        1. By Value
      8. Bone cancer
        1. By Value
      9. Others (Neurological/musculoskeletal/cardiovascular Indications)
        1. By Value
    4. By Indication
      1. Introduction
        1. Indication By Value
      2. X-ray imaging
        1. By Value
      3. Computed tomography
        1. By Value
      4. Ultrasound imaging
        1. By Value
      5. Magnetic resonance imaging
        1. By Value
      6. Nuclear medicine imaging
        1. By Value
      7. Others
        1. By Value
    5. U.K.
      1. By Technology
        1. Introduction
          1. Technology By Value
        2. Deep Learning-Based
          1. By Value
        3. Machine Learning-Based
          1. By Value
        4. Traditional CAD Systems,
          1. By Value
        5. Hybrid Models
          1. By Value
        6. Others
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Tuberculosis
          1. By Value
        3. Breast cancer
          1. By Value
        4. Lung cancer
          1. By Value
        5. Colon/rectal cancer
          1. By Value
        6. Prostate cancer
          1. By Value
        7. Liver cancer
          1. By Value
        8. Bone cancer
          1. By Value
        9. Others (Neurological/musculoskeletal/cardiovascular Indications)
          1. By Value
      3. By Indication
        1. Introduction
          1. Indication By Value
        2. X-ray imaging
          1. By Value
        3. Computed tomography
          1. By Value
        4. Ultrasound imaging
          1. By Value
        5. Magnetic resonance imaging
          1. By Value
        6. Nuclear medicine imaging
          1. By Value
        7. Others
          1. By Value
    6. Germany
    7. France
    8. Spain
    9. Italy
    10. Russia
    11. Nordic
    12. Benelux
    13. Rest of Europe
    1. Introduction
    2. By Technology
      1. Introduction
        1. Technology By Value
      2. Deep Learning-Based
        1. By Value
      3. Machine Learning-Based
        1. By Value
      4. Traditional CAD Systems,
        1. By Value
      5. Hybrid Models
        1. By Value
      6. Others
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Tuberculosis
        1. By Value
      3. Breast cancer
        1. By Value
      4. Lung cancer
        1. By Value
      5. Colon/rectal cancer
        1. By Value
      6. Prostate cancer
        1. By Value
      7. Liver cancer
        1. By Value
      8. Bone cancer
        1. By Value
      9. Others (Neurological/musculoskeletal/cardiovascular Indications)
        1. By Value
    4. By Indication
      1. Introduction
        1. Indication By Value
      2. X-ray imaging
        1. By Value
      3. Computed tomography
        1. By Value
      4. Ultrasound imaging
        1. By Value
      5. Magnetic resonance imaging
        1. By Value
      6. Nuclear medicine imaging
        1. By Value
      7. Others
        1. By Value
    5. China
      1. By Technology
        1. Introduction
          1. Technology By Value
        2. Deep Learning-Based
          1. By Value
        3. Machine Learning-Based
          1. By Value
        4. Traditional CAD Systems,
          1. By Value
        5. Hybrid Models
          1. By Value
        6. Others
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Tuberculosis
          1. By Value
        3. Breast cancer
          1. By Value
        4. Lung cancer
          1. By Value
        5. Colon/rectal cancer
          1. By Value
        6. Prostate cancer
          1. By Value
        7. Liver cancer
          1. By Value
        8. Bone cancer
          1. By Value
        9. Others (Neurological/musculoskeletal/cardiovascular Indications)
          1. By Value
      3. By Indication
        1. Introduction
          1. Indication By Value
        2. X-ray imaging
          1. By Value
        3. Computed tomography
          1. By Value
        4. Ultrasound imaging
          1. By Value
        5. Magnetic resonance imaging
          1. By Value
        6. Nuclear medicine imaging
          1. By Value
        7. Others
          1. By Value
    6. Korea
    7. Japan
    8. India
    9. Australia
    10. Taiwan
    11. South East Asia
    12. Rest of Asia-Pacific
    1. Introduction
    2. By Technology
      1. Introduction
        1. Technology By Value
      2. Deep Learning-Based
        1. By Value
      3. Machine Learning-Based
        1. By Value
      4. Traditional CAD Systems,
        1. By Value
      5. Hybrid Models
        1. By Value
      6. Others
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Tuberculosis
        1. By Value
      3. Breast cancer
        1. By Value
      4. Lung cancer
        1. By Value
      5. Colon/rectal cancer
        1. By Value
      6. Prostate cancer
        1. By Value
      7. Liver cancer
        1. By Value
      8. Bone cancer
        1. By Value
      9. Others (Neurological/musculoskeletal/cardiovascular Indications)
        1. By Value
    4. By Indication
      1. Introduction
        1. Indication By Value
      2. X-ray imaging
        1. By Value
      3. Computed tomography
        1. By Value
      4. Ultrasound imaging
        1. By Value
      5. Magnetic resonance imaging
        1. By Value
      6. Nuclear medicine imaging
        1. By Value
      7. Others
        1. By Value
    5. UAE
      1. By Technology
        1. Introduction
          1. Technology By Value
        2. Deep Learning-Based
          1. By Value
        3. Machine Learning-Based
          1. By Value
        4. Traditional CAD Systems,
          1. By Value
        5. Hybrid Models
          1. By Value
        6. Others
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Tuberculosis
          1. By Value
        3. Breast cancer
          1. By Value
        4. Lung cancer
          1. By Value
        5. Colon/rectal cancer
          1. By Value
        6. Prostate cancer
          1. By Value
        7. Liver cancer
          1. By Value
        8. Bone cancer
          1. By Value
        9. Others (Neurological/musculoskeletal/cardiovascular Indications)
          1. By Value
      3. By Indication
        1. Introduction
          1. Indication By Value
        2. X-ray imaging
          1. By Value
        3. Computed tomography
          1. By Value
        4. Ultrasound imaging
          1. By Value
        5. Magnetic resonance imaging
          1. By Value
        6. Nuclear medicine imaging
          1. By Value
        7. Others
          1. By Value
    6. Turkey
    7. Saudi Arabia
    8. South Africa
    9. Egypt
    10. Nigeria
    11. Rest of MEA
    1. Introduction
    2. By Technology
      1. Introduction
        1. Technology By Value
      2. Deep Learning-Based
        1. By Value
      3. Machine Learning-Based
        1. By Value
      4. Traditional CAD Systems,
        1. By Value
      5. Hybrid Models
        1. By Value
      6. Others
        1. By Value
    3. By Application
      1. Introduction
        1. Application By Value
      2. Tuberculosis
        1. By Value
      3. Breast cancer
        1. By Value
      4. Lung cancer
        1. By Value
      5. Colon/rectal cancer
        1. By Value
      6. Prostate cancer
        1. By Value
      7. Liver cancer
        1. By Value
      8. Bone cancer
        1. By Value
      9. Others (Neurological/musculoskeletal/cardiovascular Indications)
        1. By Value
    4. By Indication
      1. Introduction
        1. Indication By Value
      2. X-ray imaging
        1. By Value
      3. Computed tomography
        1. By Value
      4. Ultrasound imaging
        1. By Value
      5. Magnetic resonance imaging
        1. By Value
      6. Nuclear medicine imaging
        1. By Value
      7. Others
        1. By Value
    5. Brazil
      1. By Technology
        1. Introduction
          1. Technology By Value
        2. Deep Learning-Based
          1. By Value
        3. Machine Learning-Based
          1. By Value
        4. Traditional CAD Systems,
          1. By Value
        5. Hybrid Models
          1. By Value
        6. Others
          1. By Value
      2. By Application
        1. Introduction
          1. Application By Value
        2. Tuberculosis
          1. By Value
        3. Breast cancer
          1. By Value
        4. Lung cancer
          1. By Value
        5. Colon/rectal cancer
          1. By Value
        6. Prostate cancer
          1. By Value
        7. Liver cancer
          1. By Value
        8. Bone cancer
          1. By Value
        9. Others (Neurological/musculoskeletal/cardiovascular Indications)
          1. By Value
      3. By Indication
        1. Introduction
          1. Indication By Value
        2. X-ray imaging
          1. By Value
        3. Computed tomography
          1. By Value
        4. Ultrasound imaging
          1. By Value
        5. Magnetic resonance imaging
          1. By Value
        6. Nuclear medicine imaging
          1. By Value
        7. Others
          1. By Value
    6. Mexico
    7. Argentina
    8. Chile
    9. Colombia
    10. Rest of LATAM
    1. Computer-Aided Detection Market Share By Players
    2. M&A Agreements & Collaboration Analysis
    1. EDDA Technology, Inc.
      1. Overview
      2. Business Information
      3. Revenue
      4. ASP
      5. SWOT Analysis
      6. Recent Developments
    2. Olympus Corporation
    3. Aidoc
    4. FUJIFILM Holdings Corporation
    5. Hologic, Inc.
    6. Koninklijke Philips N.V.
    7. Siemens Healthineers AG
    8. NANO-X IMAGING LTD.
    9. Canon Medical Systems Corporation
    10. GE Healthcare
    11. Quibim
    12. IBM
    13. Riverain Technologies
    14. iCAD, Inc.
    15. Median Technologies
    16. Hitachi, Ltd.
    17. Shimadzu Analytical (India) Pvt. Ltd
    18. Carestream Health
    19. Esaote SpA
    20. Cleerly
    21. Planmeca
    22. DeepHealth
    23. AZmed
    24. Medical Care Technologies Inc.
    1. Research Data
      1. Secondary Data
        1. Major secondary sources
        2. Key data from secondary sources
      2. Primary Data
        1. Key data from primary sources
        2. Breakdown of primaries
      3. Secondary And Primary Research
        1. Key industry insights
    2. Market Size Estimation
      1. Bottom-Up Approach
      2. Top-Down Approach
      3. Market Projection
    3. Research Assumptions
      1. Assumptions
    4. Limitations
    5. Risk Assessment
    1. Discussion Guide
    2. Customization Options
    3. Related Reports
  3. Disclaimer

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