Automated Breast Ultrasound System Market Forecast to Expand at 7.1% CAGR Through 2036
Global automated breast ultrasound system market is projected to
grow at 7.1% CAGR through 2036, driven by dense breast screening requirements
and AI-assisted imaging.
November 3, 2026 The global automated
breast ultrasound system (ABUS) market is projected to reach USD 2.1
billion by 2036, increasing from USD 980.0 million in 2025 at a compound annual
growth rate (CAGR) of 7.1%, according to Fact.MR. The market is estimated to
reach USD 1.0 billion in 2026, creating an absolute dollar opportunity of
approximately USD 1.0 billion between 2026 and 2036. Growing demand for
supplemental breast cancer screening, particularly among women with dense
breast tissue, is supporting procurement across hospitals and diagnostic
imaging centers.
Automated
breast ultrasound systems produce standardized, reproducible three-dimensional
volumetric images of breast tissue for screening and diagnostic assessment.
Unlike conventional handheld ultrasound, ABUS platforms automate probe
positioning and scanning protocols, reducing operator dependency and improving
examination consistency. Expanding dense breast notification requirements
across multiple U.S. states and increasing clinical interest in supplemental
ultrasound are creating new opportunities for equipment manufacturers.
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Dense Breast Screening Requirements Support Automated Breast
Ultrasound System Market Growth
Mammography
remains an established breast cancer screening method. However, its sensitivity
can be reduced in women with dense breast tissue, creating demand for
complementary imaging technologies. Automated breast ultrasound systems address
this requirement by providing additional breast tissue visualization alongside
mammography.
Legislative
developments are supporting adoption in the United States. Dense breast
notification legislation across more than 35 states is encouraging discussions
about supplemental screening options. FDA approval of ABUS for use as an
adjunct to mammography also provides a regulatory foundation for clinical
adoption.
Emerging
markets are contributing to demand. Rising participation in breast cancer
screening programs is increasing the need for standardized imaging equipment,
particularly in healthcare facilities seeking consistent examination protocols.
AI
integration is changing the interpretation workflow. Deep learning-based
computer-aided detection algorithms can identify regions of interest within
three-dimensional ABUS datasets and highlight suspicious areas for radiologist
review. According to the Fact.MR analysis, this technology can reduce
interpretation time from several minutes to under one minute for normal
studies.
Automated Breast Ultrasound Systems Account for 42.1% of Product
Share
Automated
Breast Ultrasound Systems are expected to account for 42.1% of the product
segment in 2026. Their established installed base and continued procurement
across hospitals and diagnostic imaging centers support this position. The
category includes 3D automated systems, portable automated systems, and
stationary automated systems.
Hardware
is projected to represent 37.5% of the component segment in 2026. Ultrasound
scanners, transducers, probes, displays, and workstations form the primary
hardware categories. Software demand is also developing around image processing
and AI-assisted diagnosis applications.
Within
the technology segment, 3D ultrasound imaging is expected to hold a 39.8% share
in 2026. Volumetric imaging systems and real-time 3D reconstruction support
standardized image acquisition, allowing imaging professionals to compare
examinations across screening visits.
United States and Mexico Lead Country-Level Growth Outlook
The
United States is projected to register a CAGR of 7.8% through 2036, making it
the fastest-growing country market covered in the Fact.MR forecast. Dense
breast notification legislation, supplemental screening demand, and established
reimbursement pathways support market development.
Mexico
follows with a projected CAGR of 7.4%. Expansion of breast cancer screening
infrastructure, awareness programs, and private imaging center adoption are
contributing to demand.
Germany
is forecast to expand at 7.0% CAGR, supported by organized mammography
screening programs and institutional procurement. France is expected to grow at
6.9%, while South Korea and the United Kingdom are each projected to record
6.7% CAGR. Japan is forecast to expand at 6.5% through 2036.
AI Integration and System Costs Shape Competitive Strategies
Despite
growing demand, higher equipment costs and longer examination times compared
with handheld ultrasound remain purchasing considerations for high-volume
screening facilities. Radiologist training requirements also affect adoption in
institutions without dedicated breast imaging specialists. Inconsistent
reimbursement coverage across countries and healthcare payers creates another
financial consideration.
Manufacturers
are responding through product development and workflow improvements. The
competitive landscape includes GE HealthCare, Siemens Healthineers AG, Canon
Medical Systems Corporation, FUJIFILM Healthcare Americas Corporation, and
SonoCiné, Inc. Other participants include Delphinus Medical Technologies, Inc.,
QT Imaging, Inc., and CMR Naviscan Corporation.
Recent
developments reflect the direction of product innovation. In January 2026, GE
HealthCare received FDA clearance for an AI-powered computer-aided detection
module for its automated breast ultrasound system. Siemens Healthineers AG
introduced a compact portable ABUS platform in 2025, targeting mobile screening
programs and smaller imaging centers.
Canon
Medical Systems Corporation also launched a cloud-based ABUS image management and
AI-assisted triage platform in 2025. In February 2026, FUJIFILM Healthcare
Americas Corporation partnered with a national breast cancer screening
organization to deploy ABUS systems in underserved communities.
Shambhu
Nath Jha, Principal Consultant at Fact.MR, said, "The automated breast
ultrasound system market is at an inflection point driven by dense breast
screening legislation, AI integration, and growing clinical evidence. ABUS has
historically been limited by interpretation time and radiologist training
requirements, but AI-assisted detection is resolving the workflow constraint
that held back adoption."
Jha
added that established companies such as GE HealthCare and Siemens Healthineers
AG benefit from their installed bases and hospital relationships, while
specialized manufacturers compete through AI capabilities and clinical
evidence.
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Fact.MR Research Methodology and Market Coverage
The
Fact.MR assessment combines secondary research, primary interviews, and
forecast modelling to evaluate global and regional demand. The research draws
on more than 120 secondary sources and benchmarks over 65 company product
portfolios.
The
methodology covers more than 30 countries and includes over 25 primary
interviews with manufacturers, distributors, buyers, and institutional users.
Forecast validation incorporates shipment data, pricing trends, channel mix,
product launches, and regional procurement patterns.
Fact.MR is a market research and consulting company that provides
industry analysis, market forecasts, and strategic insights across global
markets.
The
full report examines product, component, technology, application, end-use, and
regional segments, providing market estimates and competitive assessments for
the 2026–2036 forecast period.

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