AI In Breast Imaging Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Imaging Modality, By Application, By End Use, By Region & Competition, 2021-2031F

Description

The Global AI In Breast Imaging Market is projected to expand from USD 320.32 Million in 2025 to USD 440.92 Million by 2031, registering a CAGR of 5.47%. This sector involves the application of machine learning and deep learning algorithms to aid radiologists in analyzing medical imagery, including mammograms, ultrasound, and MRI scans, for enhanced anomaly detection. Growth is primarily driven by the increasing global prevalence of breast cancer, which necessitates robust screening programs, and the critical need to alleviate the workload of overburdened radiologists. By automating routine tasks and prioritizing suspicious cases, these tools address the disparity between surging image volumes and the limited availability of specialists, thereby improving clinical workflow efficiency.

Market Overview
Forecast Period	2027-2031
Market Size 2025	USD 320.32 MIllion
Market Size 2031	USD 440.92 MIllion
CAGR 2026-2031	5.47%
Fastest Growing Segment	Screening
Largest Market	North America

This demand for operational support is evident in the rising utilization of these technologies among practitioners. In 2024, the European Society of Radiology reported that 48% of surveyed members were currently using AI, with the technology expected to have the most significant impact on breast and oncologic imaging. However, a major challenge hindering market expansion is the high cost associated with implementation and integration into existing systems. These financial barriers, often compounded by complex regulatory requirements, prevent resource-constrained healthcare facilities from adopting these diagnostic solutions, effectively restricting broader market penetration.

Market Driver

The growing shortage of radiologists combined with an increasing diagnostic workload serves as the most urgent catalyst for AI adoption in the breast imaging sector. Healthcare systems globally face a critical imbalance where the volume of imaging studies exceeds the available workforce, resulting in burnout and diagnostic delays. AI solutions are consequently being integrated to triage scans and automate reporting, acting as a force multiplier for strained departments. The Royal College of Radiologists noted in their 'Clinical Radiology Census 2023 Report' in June 2024 that the UK healthcare system faces a 30% shortfall of clinical radiologists, which is projected to worsen to 40% by 2028. This scarcity has accelerated commercialization efforts; Axis Imaging News reported in May 2024 that the U.S. FDA added 191 new AI-enabled medical devices to its approved list, with 128 focused on radiology, highlighting the industry's aggressive response to workforce limitations.

Concurrently, the increasing global incidence of breast cancer necessitates more robust screening protocols, further amplifying the need for efficient technologies. As screening programs expand to catch disease earlier, the number of mammograms requiring interpretation is surging, placing immense pressure on diagnostic infrastructure to maintain accuracy and throughput. According to the American Cancer Society's 'Breast Cancer Facts & Figures 2024-2025' released in January 2024, an estimated 310,720 new invasive breast cancer cases are projected to be diagnosed in women in the US during 2024. This escalating prevalence drives the deployment of AI algorithms capable of flagging high-risk anomalies, ensuring that rising case volumes do not result in missed diagnoses or delayed treatments.

Market Challenge

The high cost of implementation and integration constitutes a substantial impediment to the expansion of the global AI in breast imaging market. Deploying these advanced diagnostic tools requires significant capital investment, covering the acquisition of sophisticated software, necessary hardware upgrades, and complex IT infrastructure integration. Beyond the initial outlay, healthcare facilities face ongoing expenses for system maintenance, regular software updates, and specialized staff training. For many organizations, particularly smaller independent practices and resource-constrained clinics, these financial demands are prohibitive, especially given the current lack of comprehensive reimbursement models to ensure a clear return on investment.

This financial strain is a primary reason for the hesitation observed across the industry. According to the European Society of Radiology in 2024, 49.5% of surveyed members identified costs or lack of budget as the main potential barrier to AI implementation in clinical practice. Consequently, market growth remains skewed toward well-funded academic centers, while broader adoption across the general healthcare landscape is stalled. This economic disparity effectively limits the market's reach and decelerates the overall trajectory of global industry expansion.

Market Trends

The proliferation of AI solutions for Digital Breast Tomosynthesis is addressing the complexities of analyzing volumetric imaging data. As 3D mammography generates larger datasets than traditional 2D modalities, AI algorithms are increasingly deployed to enhance lesion conspicuity and reduce false negatives, particularly in dense breast tissue. This efficacy was substantiated by recent large-scale clinical data; RadNet Inc. reported in a November 2025 press release regarding the 'Landmark Nature Health Study Demonstrates the Effectiveness of DeepHealth's Novel AI-Powered Breast Cancer Detection Workflow' that an evaluation involving over 579,000 women revealed their AI-supported screening protocol achieved a 21.6% increase in the cancer detection rate compared to standard 3D mammography.

Simultaneously, strategic alliances between AI vendors and imaging OEMs are accelerating market penetration by embedding analytics directly into radiology reading environments. These collaborations allow healthcare providers to access advanced diagnostic tools within their existing infrastructure rather than investing in fragmented, standalone software solutions. A notable instance involves major institutions securing comprehensive access to such technologies; Radiology Business reported in April 2025 in the article 'Big-name healthcare orgs tap AI to improve breast imaging workflows' that Therapixel's partnership to integrate its MammoScreen software at Mayo Clinic increased radiologist interpretation speeds by approximately 35%, underscoring the operational value driving these commercial agreements.

Key Market Players

Visage Imaging, Inc.
CureMetrix, Inc.
DeepHealth, Inc.
GE HealthCare Technologies Inc.
Hologic, Inc.
Siemens Healthineers AG
Fujifilm Holdings Corporation
Koninklijke Philips N.V.
iCAD, Inc.
Medicalgorithmics SA

Report Scope

In this report, the Global AI In Breast Imaging Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI In Breast Imaging Market, By Component

Hardware
Software

AI In Breast Imaging Market, By Imaging Modality

Mammography
Ultrasound Imaging
MRI

AI In Breast Imaging Market, By Application

Screening
Diagnostics
Image-guided Biopsy

AI In Breast Imaging Market, By End Use

Hospitals & Clinics
Diagnostic Imaging Centers
Research Institutes

AI In Breast Imaging Market, By Region

North America
- United States
- Canada
- Mexico
Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
South America
- Brazil
- Argentina
- Colombia
Middle East & Africa
- South Africa
- Saudi Arabia
- UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI In Breast Imaging Market.

Available Customizations:

Global AI In Breast Imaging Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

1. Product Overview

1.1. Market Definition
1.2. Scope of the Market
- 1.2.1. Markets Covered
- 1.2.2. Years Considered for Study
- 1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations

3. Executive Summary

3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI In Breast Imaging Market Outlook

5.1. Market Size & Forecast
- 5.1.1. By Value
5.2. Market Share & Forecast
- 5.2.1. By Component (Hardware, Software)
- 5.2.2. By Imaging Modality (Mammography, Ultrasound Imaging, MRI)
- 5.2.3. By Application (Screening, Diagnostics, Image-guided Biopsy)
- 5.2.4. By End Use (Hospitals & Clinics, Diagnostic Imaging Centers, Research Institutes)
- 5.2.5. By Region
- 5.2.6. By Company (2025)
5.3. Market Map

6. North America AI In Breast Imaging Market Outlook

6.1. Market Size & Forecast
- 6.1.1. By Value
6.2. Market Share & Forecast
- 6.2.1. By Component
- 6.2.2. By Imaging Modality
- 6.2.3. By Application
- 6.2.4. By End Use
- 6.2.5. By Country
6.3. North America: Country Analysis
- 6.3.1. United States AI In Breast Imaging Market Outlook
  - 6.3.1.1. Market Size & Forecast
    - 6.3.1.1.1. By Value
  - 6.3.1.2. Market Share & Forecast
    - 6.3.1.2.1. By Component
    - 6.3.1.2.2. By Imaging Modality
    - 6.3.1.2.3. By Application
    - 6.3.1.2.4. By End Use
- 6.3.2. Canada AI In Breast Imaging Market Outlook
  - 6.3.2.1. Market Size & Forecast
    - 6.3.2.1.1. By Value
  - 6.3.2.2. Market Share & Forecast
    - 6.3.2.2.1. By Component
    - 6.3.2.2.2. By Imaging Modality
    - 6.3.2.2.3. By Application
    - 6.3.2.2.4. By End Use
- 6.3.3. Mexico AI In Breast Imaging Market Outlook
  - 6.3.3.1. Market Size & Forecast
    - 6.3.3.1.1. By Value
  - 6.3.3.2. Market Share & Forecast
    - 6.3.3.2.1. By Component
    - 6.3.3.2.2. By Imaging Modality
    - 6.3.3.2.3. By Application
    - 6.3.3.2.4. By End Use

7. Europe AI In Breast Imaging Market Outlook

7.1. Market Size & Forecast
- 7.1.1. By Value
7.2. Market Share & Forecast
- 7.2.1. By Component
- 7.2.2. By Imaging Modality
- 7.2.3. By Application
- 7.2.4. By End Use
- 7.2.5. By Country
7.3. Europe: Country Analysis
- 7.3.1. Germany AI In Breast Imaging Market Outlook
  - 7.3.1.1. Market Size & Forecast
    - 7.3.1.1.1. By Value
  - 7.3.1.2. Market Share & Forecast
    - 7.3.1.2.1. By Component
    - 7.3.1.2.2. By Imaging Modality
    - 7.3.1.2.3. By Application
    - 7.3.1.2.4. By End Use
- 7.3.2. France AI In Breast Imaging Market Outlook
  - 7.3.2.1. Market Size & Forecast
    - 7.3.2.1.1. By Value
  - 7.3.2.2. Market Share & Forecast
    - 7.3.2.2.1. By Component
    - 7.3.2.2.2. By Imaging Modality
    - 7.3.2.2.3. By Application
    - 7.3.2.2.4. By End Use
- 7.3.3. United Kingdom AI In Breast Imaging Market Outlook
  - 7.3.3.1. Market Size & Forecast
    - 7.3.3.1.1. By Value
  - 7.3.3.2. Market Share & Forecast
    - 7.3.3.2.1. By Component
    - 7.3.3.2.2. By Imaging Modality
    - 7.3.3.2.3. By Application
    - 7.3.3.2.4. By End Use
- 7.3.4. Italy AI In Breast Imaging Market Outlook
  - 7.3.4.1. Market Size & Forecast
    - 7.3.4.1.1. By Value
  - 7.3.4.2. Market Share & Forecast
    - 7.3.4.2.1. By Component
    - 7.3.4.2.2. By Imaging Modality
    - 7.3.4.2.3. By Application
    - 7.3.4.2.4. By End Use
- 7.3.5. Spain AI In Breast Imaging Market Outlook
  - 7.3.5.1. Market Size & Forecast
    - 7.3.5.1.1. By Value
  - 7.3.5.2. Market Share & Forecast
    - 7.3.5.2.1. By Component
    - 7.3.5.2.2. By Imaging Modality
    - 7.3.5.2.3. By Application
    - 7.3.5.2.4. By End Use

8. Asia Pacific AI In Breast Imaging Market Outlook

8.1. Market Size & Forecast
- 8.1.1. By Value
8.2. Market Share & Forecast
- 8.2.1. By Component
- 8.2.2. By Imaging Modality
- 8.2.3. By Application
- 8.2.4. By End Use
- 8.2.5. By Country
8.3. Asia Pacific: Country Analysis
- 8.3.1. China AI In Breast Imaging Market Outlook
  - 8.3.1.1. Market Size & Forecast
    - 8.3.1.1.1. By Value
  - 8.3.1.2. Market Share & Forecast
    - 8.3.1.2.1. By Component
    - 8.3.1.2.2. By Imaging Modality
    - 8.3.1.2.3. By Application
    - 8.3.1.2.4. By End Use
- 8.3.2. India AI In Breast Imaging Market Outlook
  - 8.3.2.1. Market Size & Forecast
    - 8.3.2.1.1. By Value
  - 8.3.2.2. Market Share & Forecast
    - 8.3.2.2.1. By Component
    - 8.3.2.2.2. By Imaging Modality
    - 8.3.2.2.3. By Application
    - 8.3.2.2.4. By End Use
- 8.3.3. Japan AI In Breast Imaging Market Outlook
  - 8.3.3.1. Market Size & Forecast
    - 8.3.3.1.1. By Value
  - 8.3.3.2. Market Share & Forecast
    - 8.3.3.2.1. By Component
    - 8.3.3.2.2. By Imaging Modality
    - 8.3.3.2.3. By Application
    - 8.3.3.2.4. By End Use
- 8.3.4. South Korea AI In Breast Imaging Market Outlook
  - 8.3.4.1. Market Size & Forecast
    - 8.3.4.1.1. By Value
  - 8.3.4.2. Market Share & Forecast
    - 8.3.4.2.1. By Component
    - 8.3.4.2.2. By Imaging Modality
    - 8.3.4.2.3. By Application
    - 8.3.4.2.4. By End Use
- 8.3.5. Australia AI In Breast Imaging Market Outlook
  - 8.3.5.1. Market Size & Forecast
    - 8.3.5.1.1. By Value
  - 8.3.5.2. Market Share & Forecast
    - 8.3.5.2.1. By Component
    - 8.3.5.2.2. By Imaging Modality
    - 8.3.5.2.3. By Application
    - 8.3.5.2.4. By End Use

9. Middle East & Africa AI In Breast Imaging Market Outlook

9.1. Market Size & Forecast
- 9.1.1. By Value
9.2. Market Share & Forecast
- 9.2.1. By Component
- 9.2.2. By Imaging Modality
- 9.2.3. By Application
- 9.2.4. By End Use
- 9.2.5. By Country
9.3. Middle East & Africa: Country Analysis
- 9.3.1. Saudi Arabia AI In Breast Imaging Market Outlook
  - 9.3.1.1. Market Size & Forecast
    - 9.3.1.1.1. By Value
  - 9.3.1.2. Market Share & Forecast
    - 9.3.1.2.1. By Component
    - 9.3.1.2.2. By Imaging Modality
    - 9.3.1.2.3. By Application
    - 9.3.1.2.4. By End Use
- 9.3.2. UAE AI In Breast Imaging Market Outlook
  - 9.3.2.1. Market Size & Forecast
    - 9.3.2.1.1. By Value
  - 9.3.2.2. Market Share & Forecast
    - 9.3.2.2.1. By Component
    - 9.3.2.2.2. By Imaging Modality
    - 9.3.2.2.3. By Application
    - 9.3.2.2.4. By End Use
- 9.3.3. South Africa AI In Breast Imaging Market Outlook
  - 9.3.3.1. Market Size & Forecast
    - 9.3.3.1.1. By Value
  - 9.3.3.2. Market Share & Forecast
    - 9.3.3.2.1. By Component
    - 9.3.3.2.2. By Imaging Modality
    - 9.3.3.2.3. By Application
    - 9.3.3.2.4. By End Use

10. South America AI In Breast Imaging Market Outlook

10.1. Market Size & Forecast
- 10.1.1. By Value
10.2. Market Share & Forecast
- 10.2.1. By Component
- 10.2.2. By Imaging Modality
- 10.2.3. By Application
- 10.2.4. By End Use
- 10.2.5. By Country
10.3. South America: Country Analysis
- 10.3.1. Brazil AI In Breast Imaging Market Outlook
  - 10.3.1.1. Market Size & Forecast
    - 10.3.1.1.1. By Value
  - 10.3.1.2. Market Share & Forecast
    - 10.3.1.2.1. By Component
    - 10.3.1.2.2. By Imaging Modality
    - 10.3.1.2.3. By Application
    - 10.3.1.2.4. By End Use
- 10.3.2. Colombia AI In Breast Imaging Market Outlook
  - 10.3.2.1. Market Size & Forecast
    - 10.3.2.1.1. By Value
  - 10.3.2.2. Market Share & Forecast
    - 10.3.2.2.1. By Component
    - 10.3.2.2.2. By Imaging Modality
    - 10.3.2.2.3. By Application
    - 10.3.2.2.4. By End Use
- 10.3.3. Argentina AI In Breast Imaging Market Outlook
  - 10.3.3.1. Market Size & Forecast
    - 10.3.3.1.1. By Value
  - 10.3.3.2. Market Share & Forecast
    - 10.3.3.2.1. By Component
    - 10.3.3.2.2. By Imaging Modality
    - 10.3.3.2.3. By Application
    - 10.3.3.2.4. By End Use

11. Market Dynamics

11.1. Drivers
11.2. Challenges

12. Market Trends & Developments

12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments

13. Global AI In Breast Imaging Market: SWOT Analysis

14. Porter's Five Forces Analysis

14.1. Competition in the Industry
14.2. Potential of New Entrants
14.3. Power of Suppliers
14.4. Power of Customers
14.5. Threat of Substitute Products

15. Competitive Landscape

15.1. Visage Imaging, Inc.
- 15.1.1. Business Overview
- 15.1.2. Products & Services
- 15.1.3. Recent Developments
- 15.1.4. Key Personnel
- 15.1.5. SWOT Analysis
15.2. CureMetrix, Inc.
15.3. DeepHealth, Inc.
15.4. GE HealthCare Technologies Inc.
15.5. Hologic, Inc.
15.6. Siemens Healthineers AG
15.7. Fujifilm Holdings Corporation
15.8. Koninklijke Philips N.V.
15.9. iCAD, Inc.
15.10. Medicalgorithmics SA