_in_the_Breast_Imaging_Market.JPG)
Artificial Intelligence (AI) In the Breast Imaging Market Size is valued at 463.47 million in 2024 and is predicted to reach 5555.50 million by the year 2034 at a 28.4% CAGR during the forecast period for 2025-2034.
Breast imaging represents a branch of medicine where artificial intelligence (AI) has made major strides. AI technology helps to improve the precision and effectiveness of breast imaging methods, resulting in better patient outcomes and diagnosis. Several variables that support the development and acceptance of artificial intelligence (AI) in breast imaging influence the market dynamics in this area.
The performance and accuracy of AI models used in breast imaging have considerably increased thanks to developments in AI algorithms, notably deep learning and machine learning methods. The popularity of AI in this industry has increased as a result of the creation of complex AI algorithms that can analyze huge amounts of imaging data.
However, the availability and delivery of hardware and software components for AI systems have been impacted by the disruption of global supply chains caused by the COVID-19 epidemic. The use of AI solutions in breast imaging departments may have been hampered by delays in equipment installation and purchase.
The Artificial Intelligence (AI) in Breast Imaging Market is segmented on the basis of end-use. Based on end-use, the market is segmented into hospitals, ambulatory surgical centers, and specialty clinics & trauma centers.
The hospitals' category is expected to hold a major share in the global Artificial Intelligence (AI) in Breast Imaging Market in 2022. The rise of the artificial intelligence market for breast imaging is predicted to be positively impacted by rising healthcare IT spending. It is predicted that the increased spending will help to improve the digital infrastructure, which will hasten the use of AI in hospitals and other healthcare facilities. The length of hospital stays, total healthcare expenses, the grade of care, and the accessibility of emergency care are all positively impacted by a hospital's capacity to provide modern, well-equipped facilities. The increase in global spending on healthcare infrastructure will support market expansion in the coming years.
The North America Artificial Intelligence (AI) in Breast Imaging Market is expected to register the highest market share in terms of revenue in the near future. The market for AI in breast imaging is dominated by North America. The high incidence of breast cancer, sophisticated healthcare infrastructure, robust research and development efforts, and rising investments in AI technologies are some of the variables that influence market size. Because AI is being used in more breast imaging applications, the market is predicted to expand further. The market for artificial intelligence in breast imaging in the Asia Pacific is projected to expand significantly.
The increased prevalence of breast cancer, major R&D investments in its therapies, and improvements in breast imaging technology are the primary drivers of the market's expansion.
|
Report Attribute |
Specifications |
|
Market Size Value In 2024 |
USD 463.47 Mn |
|
Revenue Forecast In 2034 |
USD 5555.50 Mn |
|
Growth Rate CAGR |
CAGR of 28.4% from 2025 to 2034 |
|
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
|
Historic Year |
2021 to 2024 |
|
Forecast Year |
2025-2034 |
|
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
|
Segments Covered |
End-user |
|
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
|
Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; South Korea; Southeast Asia |
|
Competitive Landscape |
GE Healthcare, Hologic, Inc., Gamma Medica, Inc., Siemens Healthcare, Fujifilm Holdings Corp., Toshiba Corporation, Aurora Imaging Technology, Inc. |
|
Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
|
Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence (AI) in Breast Imaging Market Snapshot
Chapter 4. Global Artificial Intelligence (AI) in Breast Imaging Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry
Chapter 5. Market Segmentation 1: By End - Use Estimates & Trend Analysis
5.1. By End-Use & Market Share, 2024-2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By End - Use:
5.2.1. Artificial Intelligence (AI) in Breast Imaging Market, By End-Use,
5.2.1.1. Hospitals
5.2.1.2. Ambulatory Surgical Centers
5.2.1.3. Specialty Clinics & Trauma Centers
5.2.1.4. Others
Chapter 6. Artificial Intelligence (AI) in Breast Imaging Market Segmentation 2: Regional Estimates & Trend Analysis
6.1. North America
6.1.1. North America Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) Estimates and Forecasts by End - Use, 2021-2034
6.1.2. North America Artificial Intelligence (AI) in Breast Imaging Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
6.1.2.1. U.S.
6.1.2.2. Canada
6.2. Europe
6.2.1. Europe Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by End - Use, 2021-2034
6.2.2. Europe Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by Country, 2021-2034
6.2.2.1. Germany
6.2.2.2. Poland
6.2.2.3. France
6.2.2.4. Italy
6.2.2.5. Spain
6.2.2.6. UK
6.2.2.7. Rest of Europe
6.3. Asia Pacific
6.3.1. Asia Pacific Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by End-Use, 2021-2034
6.3.2. Asia Pacific Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by Country, 2021-2034
6.3.2.1. China
6.3.2.2. India
6.3.2.3. Japan
6.3.2.4. Australia
6.3.2.5. Rest of Asia Pacific
6.4. Latin America
6.4.1. Latin America Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by End-Use, 2021-2034
6.4.2. Latin America Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by Country, (US$ Million) 2021-2034
6.4.2.1. Brazil
6.4.2.2. Rest of Latin America
6.5. Middle East & Africa
6.5.1. Middle East & Africa Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by End-Use (US$ Million), 2021-2034
6.5.2. Middle East & Africa Artificial Intelligence (AI) in Breast Imaging Market Revenue (US$ Million) by country, (US$ Million) 2021-2034
6.5.2.1. South Africa
6.5.2.2. GCC Countries
6.5.2.3. Rest of MEA
Chapter 7. Competitive Landscape
7.1. Major Mergers and Acquisitions/Strategic Alliances
7.2. Company Profiles
7.2.1. GE Healthcare
7.2.2. Hologic, Inc.
7.2.3. Gamma Medica, Inc.
7.2.4. Siemens Healthcare
7.2.5. Fujifilm Holdings Corp.
7.2.6. Toshiba Corporation
7.2.7. Aurora Imaging Technology, Inc.
Artificial Intelligence (AI) in Breast Imaging Market By End-Use-
Artificial Intelligence (AI) in Breast Imaging Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
