New York, Nov. 19, 2024 (GLOBE NEWSWIRE) -- Overview
The Global Artificial Intelligence in Breast Imaging Market is projected to reach USD 7,913.1 million in 2024 which is further anticipated to reach USD 85,443.3 million by 2033 at a CAGR of 30.4%.
The global artificial intelligence market in breast imaging is expected to see rapid growth due to the increasing incidence of breast cancer, technological advancements, and measures toward the adoption of AI for the early detection and diagnosis of the disease.
Artificial intelligence-powered solutions, such as machine learning algorithms, improve the accuracy and efficiency of development in breast imaging by reducing false positives and false negatives.
These tools assist the early detection by radiologists and enhance personalized patient care. Growing awareness, improved imaging technologies, and the push for early diagnosis of Breast Cancer afflictions worldwide promise to support the growth.
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The US Artificial Intelligence in Breast Imaging Market
The US artificial intelligence in breast imaging market is experiencing substantial growth, with a market value of USD 2,894.9 million in 2024, expected to reach USD 27,609.0 million by 2033 at a CAGR of 28.5%.
The US Artificial Intelligence in Breast Imaging Market is growing rapidly owing to swelling demand for the identification of early-stage breast cancers and the rapidly growing adoption of AI-based technologies.
AI algorithms have made mammogram results more accurate, reduced the work of radiologists, and improved patient outcomes where they take precedence in screening. Regulatory approvals, ongoing development of AI tools, and the introduction of new imaging platforms also support an upward trend in the increasing integration of AI into the workflow of breast imaging.
This is likely to continue with AI as an integral tool in the detection of breast cancer, further enhancing diagnostic support for radiologists while reducing related errors in the analysis of mammograms.
Important Insights
- Global Market Value: The global AI in breast imaging market is valued at USD 7,913.1 million in 2024, reaching USD 85,443.3 million by 2033.
- US Market Value: The US AI in breast imaging market will grow from USD 2,894.9 million in 2024 to USD 27,609.0 million by 2033.
- By Technology Segment: Machine Learning is anticipated to dominate the technology segment in 2024 with 39.1% of the market share.
- By Application Segment: Screening is anticipated to lead the application segment in 2024, accounting for 36.0% of the market share.
- Regional Analysis: North America is projected to hold the largest market share in AI breast imaging at 43.5% in 2024.
- Key Players: Siemens Healthineers, GE Healthcare, Philips Healthcare, Hologic Inc., IBM Watson Health, Zebra Medical Vision, iCAD Inc.
- Global Growth Rate: The AI in breast imaging market is growing at a CAGR of 30.4% during the forecast period.
Latest Trends
- Integration of AI Algorithms: There is an integration of AI algorithms that are ever increasingly integrated into the various modalities of breast imaging; these improve diagnostic precision and reduce the workload for radiologists. Early detection rates of cancer can be improved by AI-based mammography and tomosynthesis tools.
- Adoption of AI-Powered Imaging Solutions: Due to increasing cases of breast cancer throughout the world, the rising need for AI-based imaging solutions has been developed to improve accuracy and efficiency. The end will help to facilitate the diagnosis of subtle abnormalities in mammograms with improved diagnostic accuracy.
Artificial Intelligence in Breast Imaging Market: Competitive Landscape
The competitive landscape of the global artificial intelligence in the breast imaging market includes various big players such as Siemens Healthineers, GE Healthcare, Philips Healthcare, and Hologic Inc.
These companies, therefore, invest heavily in the development of AI-powered imaging technologies designed to advance diagnostic accuracy and workflow efficiencies. Strategic partnerships, mergers, and acquisitions are common as players look to expand their portfolios.
Smaller players like iCAD Inc. and Zebra Medical Vision also show the way in smarter AI algorithms and cloud-based breast imaging solutions, intensifying competition.
Some of the prominent market players:
- Siemens Healthineers
- GE Healthcare
- Philips Healthcare
- Hologic, Inc.
- IBM Watson Health
- Zebra Medical Vision
- iCAD, Inc.
- Aidoc
- Google Health
- RadNet, Inc.
- ai
- Fujifilm Medical Systems
- Other Key Players
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Artificial Intelligence in Breast Imaging Market Scope
| Report Highlights | Details |
| Market Size (2024) | USD 7,913.1 Mn |
| Forecast Value (2033) | USD 85,443.3 Mn |
| CAGR (2024-2033) | 30.4% |
| North America Revenue Share (2024) | 43.5% |
| The US Market Size (2024) | USD 2,894.9 Mn |
| Historical Data | 2018 - 2023 |
| Forecast Data | 2024 - 2033 |
| Base Year | 2023 |
| Estimate Year | 2024 |
| Segments Covered | By Technology, By Application, By End Users |
| Regional Coverage | North America, Europe, Asia Pacific, Latin America, Middle East & Africa (MEA) |
Market Analysis
Screening is projected to lead the application segment in the artificial intelligence in the breast imaging market, with 36.0% of the market share in 2024, and this is because of the increasing focus on the early detection of breast cancer among women of higher risk.
AI-enabled breast imaging tools greatly enhance the accuracy of screening mammograms by outlining slight abnormalities that could result in the diagnosis of cancer at an earlier stage.
In addition, emerging technologies in imaging modalities and the integration of AI solutions have facilitated healthcare providers in offering more personalized and rapid screening processes that could help reduce false-positive results and improve the outcomes in patients.
Artificial Intelligence in Breast Imaging Market Segmentation
By Technology
- Machine Learning
- Deep Learning
- Computer-Aided Detection (CAD)
- Natural Language Processing
By Application
- Screening
- Diagnostics
- Risk Assessment
- Other Application
By End User
- Hospitals and Clinics
- Diagnostic Imaging Centers
- Breast Care Centers
- Other End Users
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Growth Drivers
- Rising Breast Cancer Incidence: The increasing incidence of breast cancer is itself a growth driver. Hence, AI technologies are more into improving the screening, diagnosis, and treatment to meet the increasing demand for solutions related to breast health.
- Technological Advancements in AI: Advancements in AI algorithms and machine learning models are propelling the market growth, allowing healthcare providers to leverage sophisticated imaging techniques for improved diagnostic accuracy and efficiency.
Restraints
- High Costs of AI Solutions: The high implementation and maintenance costs of AI-powered breast imaging technologies can hinder adoption, particularly in smaller healthcare facilities with limited budgets.
- Data Privacy and Security Concerns: The integration of AI with sensitive patient data raises concerns about data privacy and security. Stringent regulations and compliance requirements pose challenges for wider AI adoption.
Growth Opportunities
- Growing Demand for Personalized Medicine: AI’s ability to integrate imaging data with patient histories provides opportunities for personalized breast cancer care, enabling tailored treatment plans based on individual risk assessments.
- Expansion in Emerging Markets: Emerging economies are adopting AI-powered breast imaging technologies, providing significant market expansion opportunities as healthcare systems modernize and focus on early cancer detection.
Regional Analysis
North America is projected to dominate the artificial intelligence in the breast imaging market, with 43.5% of the global market share in 2024, due to high prevalence, strong healthcare infrastructure, and early adopters of advanced AI technologies.
Regulatory support to focus on early screening for breast cancer further accelerates the integration of AI in imaging. The presence of such key market players as GE Healthcare and Siemens Healthineers further cements the leading position of North America in AI-powered solutions for breast imaging.
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By Region
North America
- The U.S.
- Canada
Europe
- Germany
- The U.K.
- France
- Italy
- Russia
- Spain
- Benelux
- Nordic
- Rest of Europe
Asia-Pacific
- China
- Japan
- South Korea
- India
- ANZ
- ASEAN
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- Rest of Latin America
Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Israel
- Egypt
- Rest of MEA
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Recent Developments in the Artificial Intelligence in Breast Imaging Market
- April 2024: GE Healthcare launched an AI platform in mobile mammography trucks, enhancing cancer detection and personalized screening care.
- April 2024: Siemens Healthineers gained FDA clearance for Mammomat B.brilliant, improving workflows, ergonomics, and patient positioning in mammograms.
- April 2024: Fujifilm unveiled VISION2030, focusing on AI and technology investments, supporting advancements in breast imaging solutions.
- March 2024: Toshiba introduced AI-powered breast imaging with deep learning, improving diagnostic accuracy for early-stage cancer detection.
- January 2024: Gamma Medica enhanced LumaGEM® MBI system with AI improvements for better accuracy and dense tissue detection.
- December 2023: Toshiba partnered with an AI firm to integrate AI for risk assessment and personalized breast cancer care solutions.
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