AI in Breast Imaging Market

AI in Breast Imaging Market Synopsis

The Global AI in Breast Imaging Market was valued at USD 464.3 Million in 2023 and is expected to grow from USD 507.1 Million in 2024 to USD 1,308.7 Million by 2033, reflecting a CAGR of 9.8% over the forecast period.

AI technologies in breast imaging are experiencing rapid growth due to the increased use of modern tools in hospitals to help find and diagnose breast cancer early. The use of machine learning and deep learning algorithms in artificial intelligence makes breast imaging more accurate and faster than regular methods. With the help of these tools, radiologists can detect tumors, decide on the density of a breast and make fewer mistakes in diagnosis, all leading to improved results for patients. Having AI in mammography, ultrasound and MRI is making work processes more efficient and lightening the workload of healthcare staff. Education about breast cancer, new medical technology and growing support for tools powered by AI are helping the market increase.

AI in Breast Imaging Market Driver Analysis

Adoption of Digital Imaging Modalities

Relying on mammography, ultrasound and MRI linked to AI is greatly improving the breast imaging industry by boosting how accurate and fast breast cancer can be found. All these types of imaging tests produce a huge amount of complex information and AI algorithms can quickly process them and identify minor issues and differences that the eye cannot see. Making use of AI can make diagnostics more accurate by decreasing the risks of wrong positives and wrong negatives. As a result, problems can be diagnosed much sooner and without causing patients to experience unnecessary biopsies. The use of AI for imaging helps radiologists move through cases faster, as AI analyzes the images while they decide on treatment plans. The cooperation of advanced imaging tools and AI leads to better and more streamlined diagnostics which boost the use of such technologies in healthcare and supports the market’s growth.

AI in Breast Imaging Market Restraint Analysis

Limited Awareness and Trust

Using AI for diagnosing alone may not be always recommended by healthcare providers and patients, as they are still unsure about its reliability and risk of errors. AI healthcare systems are not very common in clinical use and their actions are not always easy to explain which is why clinicians still find it challenging to fully trust them without reviewing the data first. There is also concern that AI may not catch rare or uncommon cases, as radiologists can often identify them. Reportedly, some patients prefer to avoid AI-made diagnoses and would instead prefer to see a live health worker. As a result, it shows the importance of AI acting as a supporting tool to expert clinicians to avoid defining a diagnosis alone and to continue being a trusted and effective helper for patients.

AI in Breast Imaging Market Opportunity Analysis

Integration with Multi-Modality Imaging

Mixing AI-powered analysis in mammography, ultrasound and MRI can strongly increase diagnostic accuracy because it includes a broader evaluation of the breast. Mammography helps us spot calcifications, ultrasound allows for a good classification of cysts or solid masses and MRI gives clear details of soft tissue. Mixing data from many sources allows AI algorithms to match results and notice signs of changes that are difficult to notice from one single scan. With this approach, the risk of both false positives and negatives is reduced, tumors are recognized more accurately and those decisions made by clinicians are better informed. By bringing together different aspects of care, this analysis helps clinicians diagnose problems sooner and with more accuracy which benefits both clinicians and patients.

AI in Breast Imaging Market Trend Analysis

Use of Big Data and Cloud Computing

By using huge image collections and cloud technology, AI can be made better suited for uses in breast detection and follow-up imaging. AI models must be trained on a large range of data to learn to identify various breast disease symptoms which allows them to work well with people from different backgrounds and under various imaging situations. Handling a large number of imaging data is made efficient by cloud platforms with storage flexibility and powerful computing power. Thanks to cloud deployment, AI can be used temporarily or permanently by healthcare providers who can access it remotely and link it smoothly to their existing systems, with no expensive setup costs. This helps speed up the progress of AI algorithms and also encourages more people to use advanced breast imaging tools since they are now faster, simpler to update and less expensive.

AI in Breast Imaging Market Segment Analysis

The AI in Breast Imaging Market is segmented on the basis of Technology, Application, and End-User.

By Technology

o   Machine Learning

o   Computer Aided Detection

o   Deep Learning

o   Natural Language Processing

By Application

o   Risk Assessment

o   Screening

o   Diagnostics

o   Other Applications

By End-User

o   Hospitals and Clinics

o   Breast Care Centers

o   Diagnostic Imaging Centers

o   Other End-Users

By Region

o   North America (U.S., Canada, Mexico)

o   Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)

o   Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)

o   Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)

o   Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)

o   South America (Brazil, Argentina, Rest of SA)

By Technology, Computer Aided Detection Segment is Expected to Dominate the Market During the Forecast Period

The technologies discussed in this research study, the computer aided detection segment is expected to account for the largest market share of AI in breast imaging market in the forecast period. Computer-aided diagnosis technology relies on AI to quickly review breast pictures and point out locations that should be looked at again. As a result, fewer errors are made and breast cancer is found sooner, improving how well patients respond to treatment. Because CAD systems now work with mammography and ultrasound images, their wide use has become valuable and important in clinics. Relatedly, the field of AI and image processing keeps evolving which is consistently improving how CAD functions in breast imaging diagnostics.

By Application, the Screening Segment is Expected to Held the Largest Share

The Screening segment is expected to hold the largest share in the AI in breast imaging market because screening programs play a critical role in the early detection of breast cancer among asymptomatic populations. Advanced technology helps to identify potential breast cancer cases with high accuracy and fast screening of large groups using breast images. As a result, irrelevant positives and negatives are reduced and patients can receive quick treatment and important follow-ups. The push for preventive care and more awareness about breast cancer testing is also leading to greater interest in using AI-powered screening. AI can accurately handle large amounts of imaging data which is why it is particularly useful in population-wide screening projects and has stayed at the forefront in this area.

By End-User, the Hospitals and Clinics Segment is Expected to Held the Largest Share

The Hospitals and Clinics segment is expected to hold the largest share in the AI in breast imaging market because these healthcare settings are the primary providers of breast cancer screening, diagnosis, and treatment services. The presence of expert medical equipment and radiology teams in hospitals and clinics allows for easy integration of AI technology. AI in these settings raises the accuracy of diagnosis, smoothes out procedures and helps manage patients, making sure patients receive top care. What’s more, hospitals and clinics usually can afford AI systems and have the necessary infrastructure to put them into action. Since this area supports patient care and targets early diagnosis and personal treatment, its lead in the market continues to increase.

AI in Breast Imaging Market Regional Insights

North America is Expected to Dominate the Market Over the Forecast period 

North America is expected to dominate the AI in breast imaging market over the forecast period due to its well-established healthcare infrastructure, high adoption rate of advanced medical technologies, and strong focus on early breast cancer detection. The area gains support from HEOR in healthcare, favorable legal requirements and input from leading manufacturers developing AI breast imaging solutions. Moreover, making information about breast cancer screening and coverage available encourages the introduction of AI technology in many hospitals and clinics. All these factors make North America the most important region for AI in breast imaging.

Recent Development

In November 2023, GE HealthCare launched the MyBreastAI Suite, which includes three AI applications from iCAD’s ProFound Breast Health Suite. This platform supports breast cancer detection and enhances imaging workflow efficiency.

Active Key Players in the AI in Breast Imaging Market

o   Hologic Inc.

o   GE Healthcare

o   Siemens Healthineers

o   Sanofi

o   Philips Healthcare

o   Fujifilm Holdings Corporation

o   iCAD Inc.

o   QuantX Imaging

o   Medicalgorithmics

o   AstraZeneca

o   Other Key Players

Global AI in Breast Imaging Market Scope