Global Mammography Equipment Market to Reach US$3.2 Billion by 2030
The global market for Mammography Equipment estimated at US$2.0 Billion in the year 2023, is expected to reach US$3.2 Billion by 2030, growing at a CAGR of 6.9% over the analysis period 2023-2030. 2-D Digital Mammography Systems, one of the segments analyzed in the report, is expected to record a 7.0% CAGR and reach US$2.1 Billion by the end of the analysis period. Growth in the 3-D Digital Mammography Systems segment is estimated at 8.8% CAGR over the analysis period.
The U.S. Market is Estimated at US$542.1 Million While China is Forecast to Grow at 11.2% CAGR
The Mammography Equipment market in the U.S. is estimated at US$542.1 Million in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$741.3 Million by the year 2030 trailing a CAGR of 11.2% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 2.5% and 7.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 3.9% CAGR.
Mammography Equipment - Key Trends and Drivers
Breast cancer is one of the most prevalent cancers affecting women globally, and mammography plays a crucial role in early detection and diagnosis, significantly influencing treatment outcomes and survival rates. As the global incidence of breast cancer rises, the demand for advanced mammography equipment also increases, driven by the need for early detection. This demand is further amplified by the global aging population, particularly older women who are at higher risk and require regular mammograms. Technological advancements in mammography, such as digital and 3D mammography, coupled with global health initiatives focusing on early detection, are fueling the growth of the mammography equipment market.
Recent decades have seen significant advancements in mammography technology, enhancing its effectiveness and patient experience. The integration of artificial intelligence (AI) and deep learning has been pivotal, offering promising methods to improve diagnostic accuracy, especially in detecting subtle abnormalities and enhancing image analysis. Innovations such as contrast-enhanced imaging and automated breast ultrasound systems have further advanced the capabilities of mammography, allowing for better detection even in dense breast tissues and high-risk patients. These technological strides not only make mammography more accessible and less intimidating for patients but also set new standards in early detection and treatment, with ongoing innovations expected to integrate into routine screening.
Looking forward, the integration of AI and other digital technologies is set to transform mammography further. AI assists in enhancing image analysis, prioritizing urgent cases, and increasing the accuracy of detections, which is vital as the volume of images from advanced techniques like digital breast tomosynthesis (DBT) grows. Additionally, government-led breast cancer screening programs and increased public awareness are boosting the demand for sophisticated mammography solutions. Mobile mammography units are also expanding access to screening services, particularly in underserved areas, emphasizing the need for continuous innovation and adaptation of mammography technologies to meet global healthcare demands and improve patient outcomes.
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