Global Computer Aided Detection
Market Report
2024
Delivery Includes:- Market Timeline 2019 till 2031, Market Size, Revenue/Volume Share, Forecast and CAGR, Competitor Analysis, Regional Analysis, Country Analysis, Segment Analysis, Market Trends, Drivers, Opportunities, Restraints, ESG Analysis, Porters Analysis, PESTEL Analysis, Market Attractiveness, Patent Analysis, Technological Trend, SWOT Analysis, COVID-19 Analysis, Consumer Behavior Analysis, etc.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global computer-aided detection market size is expected to be XX million in 2024 with a growing CAGR of XX% during the forecast period (2024-2031).
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Market Size | 121212 |
Country Market Size | 121212 |
North Americ Market Size | 121212 |
Europe Market Size | 121212 |
Asia Pacific Market Size | 121212 |
South America Market Size | 121212 |
Middle East and Africa Market Size | 121212 |
Market Split by Application |
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Market Split by Modality |
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Market Split by End-Users |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Computer Aided Detection Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
A computer-aided diagnosis (CADx) or computer-aided detection (CADe) helps physicians understand medical images. The computer-aided detection program helps diagnose several conditions using imaging modalities such as computed tomography, magnetic resonance imaging, ultrasound imaging, and x-ray imaging. These conditions include coronary artery disease, cancer, cardiovascular disorders, and neurological diseases. The system Physicians can lessen detection errors with the aid of this diagnostic analysis tool. The need for computer-aided detection has increased due to the global rise in chronic diseases like cancer. For instance, the World Health Organization estimates that there will be 9.7 million cancer-related deaths and 20 million new instances of the disease in 2022. 53.5 million people were predicted to still be alive five years after receiving a cancer diagnosis. One in five people will have cancer at some point in their lives; one in nine men and one in twelve women will pass away from the illness. Doctors may now diagnose diseases at an early stage thanks to this equipment, which also makes early treatment possible. By speeding up decision-making, eliminating human mistakes, and automating repetitive tasks, the computer-aided machine increases efficiency. Tasks that used to take hours to do can now be completed in minutes or even seconds, saving a substantial amount of time due to computational capabilities.
(Source: https://www.who.int/news/item/01-02-2024-global-cancer)
Growing consciousness about the value of early cancer diagnosis is supporting market expansion
In recent years, there has been a rise in cancer cases worldwide. The primary reasons for this increase in the cases are lifestyle, eating habits, hereditary, etc. According to World Cancer Research Fund International, in 2020, there were projected to be 18.1 million cases of cancer worldwide. Men accounted for 9.3 million of these instances, while women made for 8.8 million. The most prevalent cancers globally in 2020 were lung and breast cancers, which accounted for 12.2% and 12.5% of all newly diagnosed cases, respectively. In 2020, colorectal cancer accounted for 10.7% of all new cases and was the third most frequent cancer with 1.9 million new cases. An early diagnosis increases the likelihood of a favourable outcome for cancer treatment since the tumor is still manageable and has not spread. For instance, according to Cancer Research UK, nearly all women with breast cancer survive the disease for five years or longer if it is discovered at the earliest stage. About 3 out of 10 women will have breast cancer when it is discovered at its most advanced state. Nonetheless, six out of ten lung cancer patients who are diagnosed within the first five years of their illness go on to live for five years or more. When lung cancer is discovered at its most advanced stage, less than 1 in 10 patients fall into this category.
Due to this, the awareness regarding the early diagnoses of cancer has spread worldwide. The computer-aided detection with this advanced software and technology allows for full body X-ray, detection, screening, etc of a body, which allows for easy and early symptoms or building up of any cancer in the body. There have also been various initiatives that are undertaken to promote early awareness of cancer. For instance. The Apollo Cancer Centre in India initiated a breast cancer diagnosis program in November 2023 to offer prompt and precise diagnoses. The program emphasizes the significance of early detection in choosing appropriate treatments for a better chance of survival and enhanced quality of life. Therefore, the increasing awareness about early cancer diagnosis will allow the market for computer-aided detection to expand.
(Source:https://www.wcrf.org/cancer-trends/worldwide-cancer-data/, https://www.cancerresearchuk.org/about-cancer/., https://www.apollohospitals.com/apollo-news/apollo-cancer-centre-introduces-indias-fastest-and-most-precise-breast-cancer-diagnosis-program-redefining-cancer-care/)
In recent years many companies have been investing in 3D imaging. 3D imaging is the process of creating a three-dimensional image that appears to have depth. Two or more motion cameras are utilized to capture a three-dimensional object and produce these 3D pictures. High-resolution images are created through the integration of 3D image sensors, cameras, and screens. 3D imaging technologies offer a distinct advantage in medical practice, ranging from improving diagnostic precision to offering surgical guidance. Complex medical data can be decrypted by 3D imaging, leading to more effective and individualized treatment. Enhanced 3D imaging techniques improve the detection rates of CAD systems and provide more detailed and accurate images of the region of interest, especially in the context of medical diagnostics. The market is expanded by the new uses for CAD systems, which include cancer, orthopaedics, and dentistry, thanks to advancements in 3D imaging. The long-term benefits include fewer diagnostic errors, improved workflow efficiency, and potentially fewer errors overall, even though the initial deployment and R&D costs are high. Consequently, there may be growth in the market for computer-aided detection.
The high price of computer-aided detection (CAD) technology and the shortage of trained labor, particularly in the field of cancer therapy, present significant challenges for the healthcare industry. CAD systems are extremely helpful in assisting medical professionals in accurately diagnosing and treating various forms of cancer. However, many healthcare institutions are put off by the substantial investment required to purchase and maintain CAD equipment, particularly those in resource-constrained situations. For instance, the cost of an X-ray machine comes between 3,25,000-8,00,000 based on the brand, features, size, and type. A shortage of qualified staff further exacerbates this issue. Proper use of CAD technology is hampered in the field of cancer therapy by a shortage of skilled experts, where immediate action and precise diagnosis are critical. Qualified medical staff are essential to ensuring patients receive the right care and comprehend scan results. For instance, according World Health Organisation (WHO) and the Bureau of Labour Statistics (BLS) make it clear that there is a worldwide shortage of healthcare professionals, particularly in specialist fields like oncology. This shortage is expected to increase over the next several years, which will significantly complicate the application of CAD technology for cancer diagnosis and treatment. With all factors considered, even though computer-aided detection has great potential to improve the effectiveness and efficiency of cancer diagnosis and treatment, the high equipment costs and shortage of qualified professionals are major obstacles to its widespread adoption and use in the healthcare sector.
COVID-19 has resulted in a plethora of rigorous regulations and limitations from the government, which have hurt the healthcare sector. Lockdown regulations prevented many patients from visiting hospitals, diagnostic centers, and research facilities for the diagnosis of cancers related to the brain, musculoskeletal system, heart, colon, prostate, liver, breast, lung, or other organs. The market for computer-aided detection (CAD) suffered as a result. With a projected 10 million fatalities in 2020—or one in six deaths—cancer was one of the world's major causes of death, according to the World Health Organization. In addition, compared to the general population, cancer patients were more susceptible to infection. The hospital capacity problem and unforeseen limitations were two of the reasons behind the demise of the computer-aided detection sector. However, when the number of COVID-19 cases rose, computer-aided detection devices were employed to identify patients infected with the virus. The gadget was used to make sure that COVID-19 patients were accurately identified according to the technological advancements it offers. After adjustments were made to the computer-aided identification software and algorithm, the devices were used in X-rays, photo screening, and other procedures to identify the proper image and patients who were diagnosed with COVID-19. These allowed for the market to grow. For instance, NCBI research described a computer-aided detection technique that uses pictures from chest X-rays to fight the epidemic. The model was developed by combining several pre-trained networks. Thus, in the beginning, the global computer-aided detection market saw a decline in its market but eventually with needs in the healthcare, its usage increased. (Souce: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668604/)
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The fiercely competitive computer-aided detection (CAD) market is characterized by rapid technological advancements and a constant influx of new businesses. These companies continuously develop and enhance the CAD software and hardware they supply in an attempt to take the lead in the industry and meet the evolving needs of healthcare practitioners. Recent developments in the CAD industry indicate that artificial intelligence (AI) and machine learning algorithms are becoming more and more crucial to improving the efficacy and precision of detection systems. Artificial intelligence (AI) is being used by companies to develop computer-aided design (CAD) systems that can evaluate medical images more precisely and help doctors find abnormalities like tumors, lesions, and fractures more quickly. One notable recent development in the CAD industry is Siemens Healthineers' acquisition of Varian Medical Systems. This purchase provides Siemens access to a wide range of imaging and treatment options, strengthening its position in the radiology and oncology sectors. Combining Varian's experience with radiation therapy with Siemens' state-of-the-art imaging technology, the two businesses aim to offer integrated solutions that enhance cancer diagnosis, treatment planning, and patient care.
Top Companies Market Share in Computer Aided Detection Industry: (In no particular order of Rank)
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Region and country analysis section of Computer Aided Detection Industry Analysis has been segmented into 5 major region such as North America, Europe, Asia Pacific, Middle East & Africa ,and Latin America (along with respective major contributing countries) and provides the revenue share, current trends.
The base years considered for all the estimations by analyzing trends and growth rate will help you gain an in-depth understanding of the conclusions provided in this report. This report also includes figures, graphs, pie charts, tables and bar graphs that explain the data analysis based on current trends at the country level as well as key regions. This research report also focuses on assessing factors such as profit, product price, capacity, production, supply demand market growth rate along with others to create a clear picture on the future prospects of Computer Aided Detection market.
The current report Scope analyzes Computer Aided Detection Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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Global Computer Aided Detection Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Computer Aided Detection Industry growth. Computer Aided Detection market has been segmented with the help of its Application , Modality End-Users, and others. Computer Aided Detection market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
By Application
The oncology sector holds the largest share, with a market size of XX million and a compound annual growth rate (CAGR) of XX% throughout the projection period. A sizeable chunk of the segment's share is attributable to the increased prevalence of breast cancer as well as the expansion of initiatives for breast cancer awareness and diagnosis. Breast cancer is one of the most prevalent cancers affecting women globally. Out of 2.3 million women who received a diagnosis, 670,000 individuals worldwide passed away from breast cancer in 2022, according to the World Health Organisation (WHO). Because breast cancer is becoming more common, cutting-edge technologies like (CAD), which aim to enhance breast cancer detection by integrating many procedures, are being adopted at a rapid rate.
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By Modality
The market for computer-aided detection is anticipated to be dominated by the mammography sector. with a projected market size of XX million and a compound annual growth rate (CAGR) of XX%. Mammograms are used by medical professionals to detect breast cancer early on. The introduction of advanced technology in mammography equipment and the increasing usage of computer-aided detection in multispecialty hospitals are major factors contributing to the segment's share. By reducing the possibility of false positives and raising the accuracy of mammography readings, CAD technology enhances patient outcomes. The rising number of breast cancer screening programs in industrialized countries is largely responsible for the segment's high percentage.
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By End- User
The hospitals & clinics sector is expected to hold the largest share of the computer-aided detection market, with a market value of XX million and a forecasted growing CAGR of XX% over the forecast year. The number of hospitals and clinics has increased over the years. For instance, in India as of 20th July 2023, a total number of 27,045 hospitals including 11,908 private hospitals are empanelled. The segment's large share can be attributed to several factors, including the rise in cancer cases, the expansion of medical facilities like hospitals, the presence of highly skilled professionals in these establishments, hospitals' substantial financial resources, and an increase in patients seeking comprehensive healthcare services like diagnosis, treatment, and surgery.
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The Global Computer Aided Detection Market is witnessing significant growth in the near future.
In 2023, the Oncology segment accounted for noticeable share of global Computer Aided Detection Market and is projected to experience significant growth in the near future.
The Mammograph segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Siemens Healthineers AG (Germany) , GE HealthCare Technologies Inc. (U.S.) and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Disclaimer:
Application | Oncology, Cardiology |
Modality | Mammograph, MRI, CT, Ultrasound |
End-Users | Hospitals & Clincis, Imaging Centres, Ambulatory Care Centres |
List of Competitors | Siemens Healthineers AG (Germany), Koninklijke Philips N.V. (Netherlands), GE HealthCare Technologies Inc. (U.S.), Hologic, Inc. (U.S.), FUJIFILM Holdings Corporation (Japan), EDDA Technology, Inc. (U.S.), Canon Medical Systems Corporation (Japan), Riverain Technologies (U.S.), Median Technologies (France), Agfa-Gevaert NV (Belgium), iCAD Inc. (U.S.), CureMetrix, Inc. (U.S.), THERAPIXEL (France) |
This chapter will help you gain GLOBAL Market Analysis of Computer Aided Detection. Further deep in this chapter, you will be able to review Global Computer Aided Detection Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
Chapter 3 Europe Market Analysis
Chapter 4 Asia Pacific Market Analysis
Chapter 5 South America Market Analysis
Chapter 6 Middle East and Africa Market Analysis
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Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Application Analysis 2019 -2031, will provide market size split by Application . This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Application Analysis 2019 -2031
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Chapter 11 Market Split by Modality Analysis 2019 -2031
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Chapter 12 Market Split by End-Users Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Computer Aided Detection market
Chapter 13 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Oncology have a significant impact on Computer Aided Detection market? |
What are the key factors affecting the Oncology and Cardiology of Computer Aided Detection Market? |
What is the CAGR/Growth Rate of Mammograph during the forecast period? |
By type, which segment accounted for largest share of the global Computer Aided Detection Market? |
Which region is expected to dominate the global Computer Aided Detection Market within the forecast period? |
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