The global artificial intelligence (AI) in breast imaging market is projected to reach USD 3.21 billion by 2031, at a CAGR of 28.6%, from USD 350 million in 2022. The artificial intelligence (AI) in breast imaging market is expected to continue to grow in the coming years due to the increasing incidence of breast cancer, growing need for personalized treatment options, and increasing awareness and adoption of AI-based solutions.

Artificial Intelligence (AI) has become a disruptive force in the field of breast imaging, changing the methods by which health concerns connected to the breast are identified and diagnosed. The application of artificial intelligence (AI) to breast imaging has created new opportunities for rapid, accurate, and efficient evaluations. AI algorithms can analyze MRIs, mammograms, and other imaging modalities with previously unheard-of precision, assisting medical personnel in seeing any anomalies early on, such as tumors and calcifications. By doing this, the likelihood of early detection and prompt action is increased while the possibility of false positives and needless intrusive treatments is decreased. By automating time-consuming activities, AI also improves workflow in radiology and frees up radiologists to concentrate on more important patient care issues. With more healthcare providers and medical device firms investing in AI-based solutions to enhance breast cancer diagnosis and overall patient outcomes, the market for AI-driven breast imaging is expanding at an impressive rate. The integration of artificial intelligence with breast imaging has the potential to significantly improve breast health evaluations in terms of their accuracy, affordability, and accessibility. This will ultimately result in better patient treatment and better results.

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In November 2022, Google Health and the mammography AI vendor iCAD, Inc. have unveiled a strategic collaboration to incorporate Google Health’s AI technology into iCAD’s suite of AI solutions for breast imaging. The goal is to enhance the detection of breast cancer and improve the evaluation of near-term individual cancer risk.

Segment Analysis and Market Dynamics

Based on application, the global artificial intelligence (AI) in breast imaging market is divided into screening, diagnosis, treatment planning, monitoring. AI is increasingly employed in breast cancer screening, where it aids in the early detection of abnormalities in mammograms. By rapidly and accurately analyzing large volumes of images, AI can identify potential areas of concern, assisting in the identification of breast cancer at its earliest, most treatable stages. This proactive approach is essential in reducing mortality rates and improving patient outcomes.  AI offers valuable support to radiologists during the diagnostic phase. It helps to identify and classify breast lesions, providing a more precise assessment of the nature and severity of potential abnormalities. AI-driven diagnostic tools reduce the likelihood of misdiagnosis and unnecessary invasive procedures, enhancing overall patient care. After a breast cancer diagnosis, AI aids in the development of treatment plans. By analyzing a patient’s medical history, imaging data, and genetic information, AI can assist in tailoring personalized treatment strategies, optimizing the chances of successful outcomes while minimizing potential side effects. AI plays a vital role in the ongoing monitoring of breast cancer patients. It can track the progression of the disease and the response to treatment, allowing healthcare providers to make real-time adjustments to the treatment plan. This continuous monitoring ensures that patients receive the most appropriate and effective care throughout their journey. The software segment is the largest segment of the artificial intelligence (AI) in breast imaging market, based on product type. AI software for breast imaging forms the backbone of many innovative solutions in this field. These software applications are designed to analyze and interpret various breast imaging modalities, such as mammograms, MRIs, and ultrasound scans. AI algorithms within the software can detect and highlight potential abnormalities, assisting radiologists in their diagnostic process. They improve the accuracy of breast cancer detection, reduce false positives, and expedite the interpretation of large datasets, ultimately leading to more timely diagnoses and better patient outcomes. While AI software is at the core of breast imaging advancements, hardware components are equally important. These can include specialized imaging equipment, like high-resolution mammography machines, MRI scanners, or ultrasound devices, which capture the breast images that AI software subsequently analyzes. There is an urgent need for more precise and effective diagnostic instruments due to the increased incidence of breast cancer throughout the globe. Artificial intelligence (AI)-driven solutions present a strong answer to this problem since they can identify minute irregularities and help with early diagnosis, which will ultimately lead to better patient outcomes. The accuracy and dependability of breast imaging analysis have been greatly improved by developments in AI algorithms and machine learning approaches. With the help of these tools, radiologists can make better decisions, cut down on needless biopsies and false positives, and expedite the diagnostic process by analyzing large datasets. Furthermore, the integration of AI in breast imaging is gaining recognition among healthcare providers for its potential to save costs and enhance patient care. By speeding up the process of interpreting images, artificial intelligence (AI) can help healthcare institutions treat more patients with less resources, resulting in more accessible and reasonably priced healthcare. Additionally, the market is seeing a boom in R&D activity as startups and well-established medical device businesses alike are investing in AI-powered solutions. The increasing frequency of partnerships between healthcare organizations and technology companies is contributing to the expansion of the market. But issues like data security, legal compliance, and the requirement for strong clinical validation still exist. However, it is anticipated that the dynamic landscape of the AI in breast imaging market would continue to change, offering chances for advancement and better breast health care.

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Regional Analysis

The artificial intelligence (AI) in breast imaging market in North America is expected to lead globally. The area is home to a strong and highly developed healthcare infrastructure, with a focus on innovative medical technologies and early disease diagnosis. This openness to embracing AI breakthroughs is in line with the goals of enhancing breast healthcare. In addition, North America is home to a large number of internationally recognized research institutes, hospitals, and tech firms that work closely together to advance AI research and development in breast imaging. Innovative solutions that are widely incorporated into clinical practice have been produced by these cooperation. In addition, the increased incidence of breast cancer cases in North America has highlighted the necessity for more precise and effective diagnostic instruments. In order to address this need, AI-powered breast imaging presents a viable option since it can improve patient outcomes by increasing early detection and diagnostic accuracy. Investment in AI breast imaging technologies is further encouraged by the region’s insurance reimbursement policies and favorable regulatory environment for AI-based healthcare solutions. Furthermore, the ecosystem for artificial intelligence in breast imaging is flourishing due to the competitive landscape and the existence of startups, well-established businesses, and venture capital organizations. Because of its sophisticated healthcare system, research partnerships, high disease incidence, advantageous laws, and strong ecosystem, North America is leading the world in artificial intelligence for breast imaging, which is fostering innovation and advancements in the field of breast healthcare.

The report “Artificial Intelligence (AI) in Breast Imaging Market Size, Share & Trends Analysis Report by Product Type (Software, Hardware), by Application (Screening, Diagnosis, Treatment Planning, Monitoring), by End-Use (Hospitals, Ambulatory Surgical Centers, Specialty Clinics & Trauma Centers), and by Region (North America, Europe, APAC, MEA, and CSA), and Segment Forecasts, 2023 – 2031” is available now to Econ Market Research customers and can also be purchased directly from: https://www.econmarketresearch.com/

Further key findings from the report suggest:

• The global artificial intelligence (AI) in breast imaging market is predicted to register a compound annual growth rate (CAGR) of 28.6% over the projected period of 2023-2031.
• North America will be the leading region of the global artificial intelligence (AI) in breast imaging market during the forecast period of 2023-2031.
• The major key players in the global artificial intelligence (AI) in breast imaging market are: GE Healthcare, Hologic, Inc., Gamma Medica, Inc., Siemens Healthcare, Fujifilm Holdings Corp., Toshiba Corporation, and Aurora Imaging Technology, Inc.

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Econ Market Research has segmented the global artificial intelligence (AI) in breast imaging market based on product type, application, end-use and region:

Artificial Intelligence (AI) in Breast Imaging Market by Product Type (Revenue, USD Billion, 2023-2031)

• Software
• Hardware

Artificial Intelligence (AI) in Breast Imaging Market by Application (Revenue, USD Billion, 2023-2031)

• Screening
• Diagnosis
• Treatment Planning
• Monitoring

Artificial Intelligence (AI) in Breast Imaging Market by End-Use (Revenue, USD Billion, 2023-2031)

• Hospitals
• Ambulatory Surgical Centers
• Specialty Clinics & Trauma Centers

Artificial Intelligence (AI) in Breast Imaging Market Regional Analysis (Revenue, USD Billion, 2023-2031)

• North America
• U.S.
• Canada
• Mexico
• Europe
• Germany
• U.K.
• France
• Italy
• Spain
• Rest of Europe
• Asia Pacific
• China
• India
• Japan
• South Korea
• Australia
• Rest of Asia Pacific
• Middle East & Africa
• Saudi Arabia
• UAE
• South Africa
• Rest of MEA
• Latin America
• Brazil
• Argentina
• Rest of Latin America 

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