Overview


Artificial Intelligence (AI) in breast imaging refers to the application of machine learning algorithms and computational techniques to assist radiologists in the interpretation of mammograms and other breast imaging studies. This technology aims to improve the accuracy and efficiency of breast cancer detection, diagnosis, and monitoring. AI algorithms are trained to identify and highlight potential abnormalities in breast images, such as masses or microcalcifications. This assists radiologists in locating suspicious areas more quickly and accurately. CAD systems have been used for some time to aid radiologists in detecting abnormalities. AI enhances CAD systems using more sophisticated machine learning models to understand large datasets and improve detection rates. AI can integrate information from different imaging modalities (such as mammography, ultrasound, and MRI) to provide a more comprehensive view of breast health. This can lead to more accurate diagnoses.

Artificial Intelligence has significantly advanced breast imaging across various techniques, including X-rays, Computed Tomography (CT), Ultrasound, MRI, and Positron Emission Tomography (PET). In X-ray mammography, AI algorithms play a crucial role in enhancing the precision of breast cancer detection. AI can analyze mammograms by employing advanced machine learning models, identifying subtle anomalies that might escape the human eye. This not only aids in early diagnosis but also reduces the chances of false negatives. In CT scans, AI algorithms demonstrate their prowess by improving the precision of lesion characterization. By harnessing the power of deep learning, these algorithms can differentiate between benign and malignant lesions, thereby aiding radiologists in making more informed decisions. Furthermore, MRI, a powerful tool for breast imaging, benefits immensely from AI integration. AI models can analyze the intricate patterns and features within MRI images, allowing for a more refined and accurate assessment of breast lesions. Ultrasound imaging has also witnessed a transformation with the integration of AI. By processing ultrasound data, AI algorithms can provide additional insights into lesion characteristics, aiding radiologists in distinguishing between benign and malignant masses.

FutureWise Market Research has published a report that provides an insightful analysis artificial intelligence in breast imaging market trends that are affecting the overall market growth. This report will provide a detailed analysis of market share, regional insights, and competitor analysis that includes stature of key manufacturers operational in this industry. According to the analysis conducted by FutureWise research analysts artificial intelligence in breast imaging market estimated to register a considerable growth rate over the forecast period. This report lists the market segments and potential prospects available across this industry, in addition providing crucial information on the total valuation currently held by the industry. Moreover, this report will assist key management individuals in an organisation to enhance their decisions pertaining to business expansion as well as strategic changes for increasing customer base.

  • Hologic
  • GE Healthcare
  • Gamma Medica
  • Fujifilm Holdings Corp.
  • Siemens Healthcare
  • Toshiba Corporation
  • Aurora Imaging Technology
  • QView Medical
  • NVIDIA Corporation

(Note: The list of the major players will be updated with the latest market scenario and trends)

Recent Developments in Artificial Intelligence in Breast Imaging Market:

  • In November 2021, CureMetrix, Inc., a leading provider of AI-powered breast imaging solutions, announced the launch of its new product, cmAssist. The product is designed to help radiologists quickly and accurately identify suspicious areas in breast images and is expected to improve the efficiency of breast cancer screening and diagnosis.

The increasing global prevalence of breast cancer has become a pivotal driver for the demand and integration of advanced diagnostic tools, particularly those leveraging the power of artificial intelligence (AI) in breast imaging. As cases continue to rise, there is an urgent need for more precise and efficient screening methods to ensure early detection and prompt intervention. AI-powered imaging solutions exhibit the potential to significantly enhance diagnostic accuracy and efficiency, ultimately leading to improved patient outcomes. By leveraging refined algorithms, these technologies may discern subtle abnormalities in breast tissue, offering a critical advantage in detecting malignancies at their earliest, most treatable stages. This surge in demand is propelling research and development efforts in AI-driven breast imaging, focusing on creating more accessible and effective tools to combat the growing global burden of breast cancer. Additionally, integrating AI in breast imaging represents a transformative advancement in healthcare. By using artificial intelligence, the accuracy of breast cancer detection is markedly heightened, substantially minimizing the occurrence of false positives and negatives. This pivotal improvement translates to more reliable diagnoses, ensuring patients receive appropriate care promptly. Also, AI expedites the screening process, enabling healthcare providers to efficiently analyze a higher volume of images with unprecedented precision. This acceleration in screening saves crucial time and facilitates earlier interventions, a critical factor in augmenting patient outcomes and significantly impacting the prognosis of individuals affected by breast cancer. However, implementing AI solutions in healthcare encounters significant financial barriers, as the costs associated with adopting this cutting-edge technology might be prohibitively expensive. This fiscal burden may serve as a deterrent for smaller healthcare facilities or those in economically constrained regions, potentially limiting their ability to harness the benefits of AI in improving patient care and outcomes. Moreover, beyond the initial implementation, the sustained operation of AI systems demands a skilled workforce proficient in both healthcare and advanced technology. Unfortunately, in less technologically advanced regions, there may be a shortage of professionals possessing the requisite expertise to effectively implement and manage AI systems, thus impeding the market growth over the forecast period.

By Radiology Type

  • Mammography
    • Digital Mammography in 2D
    • Digital mammography in 3D
  • Breast Imaging
    • Interpretive Tasks
    • Noninterpretive Tasks
  • Neurology
  • Colonography
  • Cardiovascular
  • Head CT Scan
  • Rest of the body
  • On-Premises

By Technique

  • X-rays
  • Computed Tomography (CT)
  • Magnetic Resonance Imaging (MRI)
  • Ultrasound
  • Positron Emission Tomography (PET)
  • Others

By Application

  • Computer-aided Diagnosis
  • Clinical Decision Support
  • Quantitative Analysis Tools
  • Computer-aided Detection

By End User

  • Hospitals
  • Diagnostic Imaging Centers
  • Breast Care Centers
  • Others

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

This market research report also emphasis on factors affecting the growth rate in various regions listed above. A deep-down analysis of region will also be provided in the final version of this market which is based on conclusion of primary interviews and secondary data point gathered during the process.

By region, the market is segmented into North America, Latin America, Europe, Asia-Pacific, and Middle East & Africa. North America registered highest revenue share in the market in 2022. Due to the use of artificial intelligence in breast imaging, the rising geriatric population, increasing prevalence of breast cancer, demand for more accurate and efficient breast cancer screening and diagnostic services, and significant R&D expenditures on treatments for the disease in the U.S. are anticipated to fuel the market growth. For instance, As per data published by the Lancet Journal in 2021, people 65 years of age or older account for about 50% of cancer cases. Moreover, the adoption of advanced technology, growing health insurance, and the presence of key players are further boosting the market expansion. Therefore, the above-mentioned factors are projected to accelerate the market growth over the forecast period in the area.

  • Tier 1 players- established companies in the market with a major market share
  • Tier 2 players
  • Emerging players which are growing rapidly
  • New Entrants

  • Growth prospects
  • SWOT analysis
  • Key trends
  • Key data-points affecting market growth

  • To provide with an exhaustive analysis on the Artificial Intelligence in Breast Imaging Market By Radiology Type, By Technique, By Application, By End User, and By Region
  • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints)
  • To evaluate and forecast micro-markets and the overall market
  • To predict the market size, in key regions— North America, Europe, Asia Pacific, Latin America and Middle East and Africa.
  • To record and evaluate competitive landscape, mapping- product launches, technological advancements, mergers and expansions

  • We have a flexible delivery model and you can suggest changes in the scope/table of content as per your requirement
  • The customization Mobility Care offered are free of charge with purchase of any license of the report
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Table of Contents


  • 1.  Market Introduction
    •   1. Objectives of the Study 
        2. Market Definition 
        3. Market Scope 
           3.1. Years Considered for the Study
           3.2. Market Covered
        4. Currency 
        5. Limitations 
        6. Stakeholders 

  • 2.  Research Methodology
    •   1. Research Data 
           1.1. Secondary Data
              1.1.1. Key Data from Secondary Sources
           1.2. Primary Data
              1.2.1. Key Data from Primary Sources
        3. Market Size Estimation 
        4. Market Breakdown and Data Triangulation 
        5. Assumptions for the Study 

  • 3.  Executive Summary
    •   1. Market Outlook
        2. Segment Outlook
        3. Competitive Insights

  • 4.  Artificial Intelligence in Breast Imaging Market Variables, Trends & Scope
    •   1. Market Lineage Outlook
        2. Penetration and Growth Prospect Mapping
        3. Industry Value Chain Analysis
        4. Cost Analysis Breakdown
        5. Application Overview
        6. Regulatory Framework
           6.1. Reimbursement Framework
           6.2. Standards and Compliances

  • 5.  Market Overview
    •   1. Market Dynamics
           1.1. Market Driver Analysis
              1.1.1. Increasing focus of Artificial Intelligence in Breast Imaging Market Companies on Brand Protection
              1.1.2. Untapped Opportunities in Emerging Regions
           1.2. Market Restraint Analysis
              1.2.1. High Cost Associated with Implementation of Predictive Analysis
           1.3. Industry Challenges
              1.3.1. Presence of Ambiguous Regulatory Framework

  • 6.  Artificial Intelligence in Breast Imaging Market Analysis Tools
    •   1. Industry Analysis - Porter’s
           1.1. Supplier Power
           1.2. Buyer Power
           1.3. Substitution Threat
           1.4. Threat from New Entrants
           1.5. Competitive Rivalry
        2. Pestel Analysis
           2.1. Political Landscape
           2.2. Environmental Landscape
           2.3. Social Landscape
           2.4. Application Landscape
           2.5. Legal Landscape
        3. Major Deals And Strategic Alliances Analysis
           3.1. Joint Ventures
           3.2. Mergers and Acquisitions
           3.3. Licensing and Partnership
           3.4. Application Collaborations
           3.5. Strategic Divestments
        4. Market Entry Strategies
        5. Case Studies

  • 7.  Artificial Intelligence in Breast Imaging Market, By Radiology Type Historical Analysis and Forecast 2024-2032 (USD Million)
    •   1. Mammography
           1.1. Digital Mammography in 2D
           1.2. Digital mammography in 3D
        2. Breast Imaging
           2.1. Interpretive Tasks
           2.2. Noninterpretive Tasks
        3. Neurology
        4. Colonography
        5. Head CT Scan
        6. Rest of the body
        7. On-Premises

  • 8.  Artificial Intelligence in Breast Imaging Market, By Technique Historical Analysis and Forecast 2024-2032 (USD Million)
    •   1. X-rays
        2. Computed Tomography (CT)
        3. Magnetic Resonance Imaging (MRI)
        4. Ultrasound
        5. Positron Emission Tomography (PET)
        6. Others

  • 9.  Artificial Intelligence in Breast Imaging Market, By Application Historical Analysis and Forecast 2024-2032 (USD Million)
    •   1. Computer-aided Diagnosis
        2. Clinical Decision Support
        3. Quantitative Analysis Tools
        4. Computer-aided Detection

  • 10.  Artificial Intelligence in Breast Imaging Market, By End User Historical Analysis and Forecast 2024-2032 (USD Million)
    •   1. Hospitals
        2. Diagnostic Imaging Centers
        3. Breast Care Centers
        4. Others

  • 11.  North America Artificial Intelligence in Breast Imaging Market Analysis 2018-2023 and Forecast 2024-2032 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2018-2023
           2.1. U.S.A
           2.2. Canada
           2.3. Mexico
        3. Market Size (USD Million) Forecast for North America 2024-2032

  • 12.  Latin America Artificial Intelligence in Breast Imaging Market Analysis 2018-2023 and Forecast 2024-2032 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2018-2023
           2.1. Brazil
           2.2. Venezuela
           2.3. Argentina
           2.4. Rest of Latin America
        3. Market Size (USD Million) Forecast for Latin America 2024-2032

  • 13.  Europe Artificial Intelligence in Breast Imaging Market Analysis 2018-2023 and Forecast 2024-2032 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2018-2023
           2.1. Germany
           2.2. U.K
           2.3. France
           2.4. Italy
           2.5. Spain
           2.6. Russia
           2.7. Poland
           2.8. Rest of Europe
        3. Market Size (USD Million) Forecast for Europe 2024-2032

  • 14.  Asia Pacific Artificial Intelligence in Breast Imaging Market Analysis 2018-2023 and Forecast 2024-2032 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2018-2023
           2.1. Japan
           2.2. China
           2.3. India
           2.4. Australia and New Zealand
           2.5. ASEAN
           2.6. Rest of Asia Pacific
        3. Market Size (USD Million) Forecast for Asia Pacific 2024-2032  

  • 15.  Middle East and Africa Market Analysis 2018-2023 and Forecast 2024-2032 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2018-2023
           2.1. GCC
           2.2. Israel
           2.3. South Africa
           2.4. Rest of MEA
        3. Market Size (USD Million) Forecast for MEA 2024-2032

  • 16.  Market Share Analysis and Competitive Landscape
    •   1. Global Landscape - Key Players, Revenue and Presence
        2. Global Share Analysis - Key Players (Tier 1, Tier 2, Tier 3)
        3. Global Emerging Companies
        4. North America - Market Share Analysis and Key Regional Players
        5. Europe - Market Share Analysis and Key Regional Players
        6. Asia Pacific - Market Share Analysis and Key Regional Players
        7. Global Key Player - Growth Matrix

  • 17.  Company Profiles (Competition Dashboard, Competitors Deep Dive, Products Offered and Financial Layouts)
    •   1. Hologic
         1.1. Company Overview
         1.2. Product Portfolio
         1.3. SWOT Analysis
         1.4. Financial Overview
         1.5. Strategic Overview
        2. GE Healthcare
         2.1. Company Overview
         2.2. Product Portfolio
         2.3. SWOT Analysis
         2.4. Financial Overview
         2.5. Strategic Overview
        3. Gamma Medica
         3.1. Company Overview
         3.2. Product Portfolio
         3.3. SWOT Analysis
         3.4. Financial Overview
         3.5. Strategic Overview
        4. Fujifilm Holdings Corp.
         4.1. Company Overview
         4.2. Product Portfolio
         4.3. SWOT Analysis
         4.4. Financial Overview
         4.5. Strategic Overview
        5. Siemens Healthcare
         5.1. Company Overview
         5.2. Product Portfolio
         5.3. SWOT Analysis
         5.4. Financial Overview
         5.5. Strategic Overview
        6. Toshiba Corporation
         6.1. Company Overview
         6.2. Product Portfolio
         6.3. SWOT Analysis
         6.4. Financial Overview
         6.5. Strategic Overview
        7. Aurora Imaging Technology
         7.1. Company Overview
         7.2. Product Portfolio
         7.3. SWOT Analysis
         7.4. Financial Overview
         7.5. Strategic Overview
        8. QView Medical
         8.1. Company Overview
         8.2. Product Portfolio
         8.3. SWOT Analysis
         8.4. Financial Overview
         8.5. Strategic Overview
        9. NVIDIA Corporation
         9.1. Company Overview
         9.2. Product Portfolio
         9.3. SWOT Analysis
         9.4. Financial Overview
         9.5. Strategic Overview

  • 18.  Pre and Post COVID-19 Impact
    •   1. Positive influence on the healthcare industry
        2. The financial disruption of the manufacturing sector
        3. Impact of COVID-19 on emerging companies
        4. Significant mandates in the healthcare regulations initiated by administrations
        5. The overall economic slowdown of the developing and developed nations

  • 19.  FutureWise SME Key Takeaway Points for Client
    •   

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