The global AI in breast imaging market is expected to expand significantly, growing from USD 480 million in 2022 to over USD 734 million by 2032. This growth is driven by an increasing prevalence of breast cancer and ongoing advancements in imaging technology. With a projected annual growth rate of 3.30% between 2023 and 2032, the sector is poised for continued progress and innovation.
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The growing emphasis on early diagnosis has spurred advancements in medical technologies, particularly in AI-driven breast imaging. AI is playing a crucial role in improving the accuracy and efficiency of breast cancer detection, offering significant benefits to both healthcare professionals and patients.
AI algorithms can analyze mammograms and other imaging data with exceptional precision, helping detect potential abnormalities or cancerous lesions at an early stage, which is vital for successful treatment.
One of the key advantages of AI in breast imaging is its ability to reduce false-positive results. This leads to more reliable diagnoses, minimizing unnecessary anxiety and reducing the need for follow-up procedures, ultimately making the healthcare process more efficient for patients.
AI-powered automated screening is enhancing the efficiency and speed of breast cancer screenings. This is particularly important as the demand for screening across larger populations continues to grow.
As awareness of the importance of early breast cancer detection has increased, so has the demand for AI in breast imaging. AI’s integration improves diagnostic accuracy and helps the healthcare system cope with the growing number of breast cancer screenings, contributing to the market’s overall growth.
AI’s integration into breast imaging is opening up exciting opportunities for healthcare. According to a 2021 article from the National Institutes of Health, over 20 FDA-approved AI applications for breast imaging have been introduced, though their full potential hasn’t yet been realized. AI offers significant opportunities in various aspects of breast cancer screening, such as breast density measurement, enhancing workflow, assessing treatment responses, and improving image quality.
The push for early detection of breast cancer is fueled by advancements in treatment, heightened public awareness, and improved screening techniques. However, although biomarkers like DNA, RNA, and proteins offer insight into breast cancer, their global applicability remains limited due to non-reproducibility. Thus, awareness and accessible screening programs remain the most effective means of prevention, especially for individuals at higher risk, who can benefit from clinical consultations and counseling.
The growth of AI in breast imaging is also being driven by collaboration between key players in the healthcare and technology sectors. Strategic partnerships are playing a pivotal role in advancing diagnostic capabilities and in the ongoing fight against breast cancer.
In November 2022, Google Health partnered with CAD, Inc. to integrate its AI technology into CAD’s breast imaging solutions. This collaboration aimed to enhance breast cancer detection accuracy and improve screening accessibility worldwide. Similarly, in September 2023, Healthyr teamed up with Koning Health to offer innovative, non-invasive at-home breast health tests, empowering women globally with advanced imaging technology. Another significant partnership took place in October 2023 when Medicom Technologies Inc. collaborated with Onsite Women’s Health to improve the breast cancer detection process through better medical image exchange.
There have been notable recent advancements in breast imaging technology. In September 2023, Siemens launched the Mammomat B Brilliant Presentation, which uses wide-angle tomosynthesis for faster 3D imaging, offering high accuracy in detecting abnormalities and microcalcifications in just five seconds. Similarly, Hologic and Bayer announced a partnership in September 2023 to provide a comprehensive contrast-enhanced mammography package, further enhancing breast imaging capabilities. Additionally, Abdul Latif Jameel Health entered into a distribution agreement with Sona Health in January 2023 to introduce Sona Health’s Atusa scanner, a portable ultrasound device equipped with AI for enhanced breast health assessments.
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