The term "computer-aided detection" (CAD) describes the process of interpreting medical imaging investigations, such as X-rays, CT scans, and MRIs, by using computer algorithms and software. Areas of interest or possible abnormalities in the images are highlighted and flagged by CAD systems so that a radiologist or other healthcare provider can investigate them further. These systems analyze patterns, shapes, and densities in the images with the goal of increasing diagnosis efficiency and accuracy by highlighting areas that could need more examination. CAD is a useful tool in the diagnosis process that helps medical professionals comprehend and make decisions, even if it cannot replace human skills Koninklijke Philips N.V. (Netherlands), FUJIFILM Holdings Corporation (Japan), CANON MEDICAL SYATEMA CORPORATION (Japan), Seimens Healthineers GmbH (Germany), Riverain Technologies (U.S.), Median Technologies (France).
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Data Bridge Market Research analyzes that the U.S., Japan and Europe Computer Aided Detection (CAD) Market is expected to grow at a CAGR of 12.0%, 14.5% and 10.9% in the forecast period of 2024 to 2031 and is expected to reach USD 1,826.95 million, USD 301.41 million and USD 1,480.70 million by 2031. The software segment is projected to propel the market growth due to the rising demand of CAD solutions in the market.
Key Findings of the Study
Increasing technological advancements associated with CAD
The primary factor behind the growth and expansion of the computer-aided detection (CAD) market in the healthcare sector is technological improvements. These developments keep CAD systems up to date and improve their adaptability, precision, and capacity for diagnosing a wide range of medical disorders. The development of deep learning algorithms, machine learning, and artificial intelligence (AI) has been essential to the advancement of CAD systems. These developments make it possible for CAD software to process enormous volumes of medical imaging data at previously unheard-of speeds and precision. This results in the more accurate and dependable identification of anomalies in MRIs, CT scans, X-rays, and other imaging modalities.
In addition, a more thorough examination of patient data is made possible by the combination of AI-driven CAD systems with big data analytics, which supports predictive and personalized diagnosis. The combination of these technologies greatly improves patient outcomes by enabling early detection, accurate diagnosis, and customized treatment approaches. Furthermore, the development of increasingly advanced CAD solutions has been fueled by the rising accessibility and affordability of computational power. For instance, cloud-based CAD solutions provide cost-effectiveness, scalability, and remote access, allowing healthcare organizations to utilize CAD capabilities without having to make significant infrastructure investments. CAD systems will advance in detection, adaptability, and integration with healthcare ecosystems as technological advancements continue. The market is growing as a result of the CAD industry's unwavering application of technology improvements, which have the enormous potential to revolutionize patient care, improve diagnostic capabilities, and influence the direction of healthcare. Thus, the increasing technological advancements are driving market growth.
Report Scope and Market Segmentation
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Report Metric
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Details
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Forecast Period
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2024 to 2031
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Base Year
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2023
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Historic Year
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2022 (Customizable to 2016 – 2021)
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Quantitative Units
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Revenue in USD Million and Pricing in USD
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Segments Covered
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Product Type (Software and Services), Imaging Modality (Breast Imaging, Lung Imaging, Oncology and Radiation, Abdominal and Pelvic Imaging, Dental Imaging, Cardiovascular Imaging, and Others), Application (Cancer, Neurological Disorders, Cardiovascular Diseases, Musculoskeletal Diseases, and Others), Mode of Purchase (Group Purchase Organization and Individual), End User (Hospitals, Diagnostic Centers, Research Institutes and Academic Centers, and Others)
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Countries Covered
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U.S., Germany, Italy, U.K., France, Switzerland, Spain, Russia, Turkey, Belgium, Netherlands, Rest of Europe, Japan
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Market Players Covered
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CANON MEDICAL SYATEMA CORPORATION (Japan), Riverain Technologies (U.S.), Koninklijke Philips N.V. (Netherlands), Seimens Healthineers AG (Germany), Hologic Inc. (U.S.), FUJIFILM Holdings Corporation (Japan), Median Technologies (France), General Electric Company (U.S.), iCAD, Inc. (U.S.), and EDDA Technology, Inc. (U.S.), among others
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Data Points Covered in the Report
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In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
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Segment Analysis
TheU.S., Japan & Europe Computer Aided Detection (CAD) market is segmented into five notable segments based on product type, imaging modality, application, mode of purchase, and end user.
- Based on product type, the market is segmented into software and services
In 2024, the software segment of the product type segment is expected to dominate the market
In 2024, the software segment is expected to dominate the market due to the the the rising demand for CAD system in the medical field with a market share of 63.04%, 66.15%, and 63.22%
- Based on imaging modality, the market is segmented into breast imaging, lung imaging, oncology and radiation, abdominal and pelvic imaging, dental imaging, cardiovascular imaging, and others
In 2024, the oncology and radiation segment of the imaging modality segment is expected to dominate the market
In 2024, the oncology and radiation segment is expected to dominate the market with a market share of 28.09%, 34.14%, and 28.09% due to the rising prevalence of diseases.
- Based on application, the market is segmented into cancer, neurological disorders, cardiovascular diseases, musculoskeletal diseases, and others. In 2024, the cancer segment is expected to dominate the market with a market share of 40.06%, 45.10%, and 40.06%
- Based on mode of purchase, the market is segmented into group purchase organization and individual. In 2024, the group purchase organization segment is expected to dominate the market with a market share of 83.38%, 84.78%, and 83.38%
- Based on end user, the market is segmented into hospitals, diagnostic centers, research institutes and academic centers, and others. In 2024, the hospitals segment is expected to dominate the market with a market share of 48.12%, 52.49%, and 48.12%
Major Players
Data Bridge Market Research analyzes Koninklijke Philips N.V. (Netherlands), FUJIFILM Holdings Corporation (Japan), CANON MEDICAL SYATEMA CORPORATION (Japan), Seimens Healthineers GmbH (Germany), Median Technologies (France) as the major companies in U.S., Japan & Europe Computer Aided Detection (CAD) market.
Regional Analysis
Geographically, the countries covered in the market are U.S., Germany, Italy, U.K., France, Switzerland, Spain, Russia, Turkey, Belgium, Netherlands, Rest of Europe, and Japan.
As per Data Bridge Market Research analysis:
U.S is expected to dominate the U.S., Japan & Europe Computer Aided Detection (CAD) Market
In 2024, U.S. is expected to dominate the market owing to the higher level of investments by. manufacturers and the increasing advancement in the treatment options in the U.S. U.S. will continue to dominate the market in terms of market share and market revenue and will continue to flourish its dominance during the forecast period.
Japan is expected to be the fastest-growing country in the U.S., Japan & Europe Computer Aided Detection (CAD) market
Japan is expected to be the fastest growing country in the market this is due to the growing adoption of advanced treatment technology in this region. Also, due to the rapid development of medical facilities in emerging economies in this region. In addition to this, the rising level of healthcare expenditure and increasing per-capita income are expected to propel the market growth in this region.
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