Automated Breast Ultrasound System Market to Expand at a CAGR of 13%by 2032
In 2022, the global size for Automated Breast Ultrasound Systems (ABUS) market was USD 1.7 billion, with projections indicating an increase to USD 5.11 billion by 2032, accompanied by a substantial revenue compound annual growth rate (CAGR) of 13% during the forecast period. Key drivers fostering the growth in market revenue include the escalating prevalence of breast cancer worldwide and an increasing demand for swift and accurate diagnosis. Breast cancer stands as the most prevalent cancer in women globally, as highlighted by the World Health Organization (WHO), with an estimated 2.3 million new cases expected to be diagnosed in 2020 alone.
The market is experiencing revenue growth driven by the heightened adoption of ABUS systems as a reliable screening tool and an augmented awareness of the importance of breast cancer screening. ABUS devices, designed to offer a more comprehensive and precise image of breast tissue, particularly in women with dense breast tissue, are proving to be advantageous compared to conventional mammography. The utilization of ABUS systems has demonstrated an increase in cancer detection rates and a decrease in the number of false-positive findings, further contributing to the overall growth of the market.
An analysis of Automated Breast Ultrasound System (ABUS) industry development trends and marketing channels, as well as an assessment of the feasibility of new investment projects, is presented in the study.
In addition to providing key statistics on the industry, the report provides valuable guidance and direction for companies and individuals interested in this market through tables and figures.
In addition to developing policies and plans, this report analyzes manufacturing processes and cost structures. It also provides information about import/export demand, costs, prices, revenues, and gross margins.
This report provides information on the market status of Automated Breast Ultrasound System (ABUS) manufacturers and provides valuable insight into the market for companies and individuals.
In the pharmaceutical and healthcare sectors, there is rapid change. As cell and gene therapies become increasingly available, patients are finding appropriate treatments for previously incurable diseases. Machine learning and artificial intelligence (AI) technologies are making it possible for more inventive, faster, and cheaper therapy development to take place. By utilizing data-driven projects, manufacturing, the supply chain, and the entire healthcare ecosystem can benefit. It is clear that consumer attitudes and behaviors are shifting, ranging from a greater use of technology and data sharing to a willingness to use tools to make prescriptions and treatment decisions. Pharma and healthcare markets are expected to grow in the next few years as a result of such factors.
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