Global AI Cardiovascular Ultrasound Solution Market Growth (Status and Outlook) 2026-2032
Description
The global AI Cardiovascular Ultrasound Solution market size is predicted to grow from US$ 600 million in 2025 to US$ 2555 million in 2032; it is expected to grow at a CAGR of 23.1% from 2026 to 2032.
AI Cardiovascular Ultrasound Solutions are artificial intelligence–enabled software and system platforms designed to enhance cardiac and vascular ultrasound imaging by automating image acquisition, interpretation, quantification, and clinical reporting. These solutions typically integrate with echocardiography systems to provide real-time scan guidance, standardized view recognition, automated measurements such as ejection fraction (EF), global longitudinal strain (GLS), and valve parameters, as well as detection of structural and functional abnormalities. By reducing operator dependency and inter-observer variability, AI cardiovascular ultrasound improves diagnostic consistency, workflow efficiency, and throughput in cardiology departments, echocardiography labs, intensive care units, and point-of-care settings. Depending on regulatory status, products may function as clinical decision support tools or as regulated Software as a Medical Device (SaMD) supporting diagnostic use.
From a classification perspective, the market can be parameterized by application scope (echocardiography, stress echo, vascular ultrasound, hemodynamic assessment), AI functional depth (scan guidance, automated quantification, disease classification, decision support), care setting (cardiology labs, ICU, emergency/POCUS, outpatient screening), and deployment model (on-device embedded AI, hybrid edge–cloud platforms, cloud-based analytics, or plug-in software for existing systems). These dimensions align with how hospitals and imaging centers evaluate solutions, balancing clinical scope, integration complexity, regulatory clearance, and total cost of ownership.
The industry value chain begins upstream with ultrasound system manufacturers, transducer suppliers, and semiconductor providers, followed by midstream AI algorithm developers and software platform vendors. Downstream customers include hospitals, cardiac imaging centers, and outpatient clinics, with purchasing decisions often influenced by compatibility with existing ultrasound fleets and PACS/EMR systems. Gross margins are generally attractive for AI cardiovascular ultrasound solutions due to their software-driven nature, though margins may be moderated by clinical validation, regulatory compliance, and integration services. Transactions typically start with pilot deployments, followed by multi-year licenses priced per device, per site, or per exam volume. Market trends include deeper AI automation at the device level, expansion from measurement-focused tools to disease-level intelligence, increasing regulatory approvals, and broader adoption in POCUS and preventive cardiovascular screening.
LPI (LP Information)' newest research report, the “AI Cardiovascular Ultrasound Solution Industry Forecast” looks at past sales and reviews total world AI Cardiovascular Ultrasound Solution sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Cardiovascular Ultrasound Solution sales for 2026 through 2032. With AI Cardiovascular Ultrasound Solution sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Cardiovascular Ultrasound Solution industry.
This Insight Report provides a comprehensive analysis of the global AI Cardiovascular Ultrasound Solution landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Cardiovascular Ultrasound Solution portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Cardiovascular Ultrasound Solution market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Cardiovascular Ultrasound Solution and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Cardiovascular Ultrasound Solution.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Cardiovascular Ultrasound Solution market by product type, application, key players and key regions and countries.
Segmentation by Type:
Equipment
Software
Segmentation by System Architecture & Commercial Model:
On-device / Embedded AI Solutions
Hybrid Edge–Cloud AI Platforms
AI Plug-ins for Existing Ultrasound Systems
Others
Segmentation by AI Function Depth:
Scan Guidance & View Recognition
Automated Measurement & Quantification
Structural & Functional Abnormality Detection
Disease Classification & Risk Stratification
Others
Segmentation by Application:
Hospital
Clinic
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
GE HealthCare
Philips
Siemens Healthineers
Canon Medical Systems
Samsung Medison
Mindray
Butterfly Network
Exo
Clarius
UltraSight
Us2.ai
Ultromics
United Imaging
Please note: The report will take approximately 2 business days to prepare and deliver.
AI Cardiovascular Ultrasound Solutions are artificial intelligence–enabled software and system platforms designed to enhance cardiac and vascular ultrasound imaging by automating image acquisition, interpretation, quantification, and clinical reporting. These solutions typically integrate with echocardiography systems to provide real-time scan guidance, standardized view recognition, automated measurements such as ejection fraction (EF), global longitudinal strain (GLS), and valve parameters, as well as detection of structural and functional abnormalities. By reducing operator dependency and inter-observer variability, AI cardiovascular ultrasound improves diagnostic consistency, workflow efficiency, and throughput in cardiology departments, echocardiography labs, intensive care units, and point-of-care settings. Depending on regulatory status, products may function as clinical decision support tools or as regulated Software as a Medical Device (SaMD) supporting diagnostic use.
From a classification perspective, the market can be parameterized by application scope (echocardiography, stress echo, vascular ultrasound, hemodynamic assessment), AI functional depth (scan guidance, automated quantification, disease classification, decision support), care setting (cardiology labs, ICU, emergency/POCUS, outpatient screening), and deployment model (on-device embedded AI, hybrid edge–cloud platforms, cloud-based analytics, or plug-in software for existing systems). These dimensions align with how hospitals and imaging centers evaluate solutions, balancing clinical scope, integration complexity, regulatory clearance, and total cost of ownership.
The industry value chain begins upstream with ultrasound system manufacturers, transducer suppliers, and semiconductor providers, followed by midstream AI algorithm developers and software platform vendors. Downstream customers include hospitals, cardiac imaging centers, and outpatient clinics, with purchasing decisions often influenced by compatibility with existing ultrasound fleets and PACS/EMR systems. Gross margins are generally attractive for AI cardiovascular ultrasound solutions due to their software-driven nature, though margins may be moderated by clinical validation, regulatory compliance, and integration services. Transactions typically start with pilot deployments, followed by multi-year licenses priced per device, per site, or per exam volume. Market trends include deeper AI automation at the device level, expansion from measurement-focused tools to disease-level intelligence, increasing regulatory approvals, and broader adoption in POCUS and preventive cardiovascular screening.
LPI (LP Information)' newest research report, the “AI Cardiovascular Ultrasound Solution Industry Forecast” looks at past sales and reviews total world AI Cardiovascular Ultrasound Solution sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Cardiovascular Ultrasound Solution sales for 2026 through 2032. With AI Cardiovascular Ultrasound Solution sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Cardiovascular Ultrasound Solution industry.
This Insight Report provides a comprehensive analysis of the global AI Cardiovascular Ultrasound Solution landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Cardiovascular Ultrasound Solution portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Cardiovascular Ultrasound Solution market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Cardiovascular Ultrasound Solution and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Cardiovascular Ultrasound Solution.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Cardiovascular Ultrasound Solution market by product type, application, key players and key regions and countries.
Segmentation by Type:
Equipment
Software
Segmentation by System Architecture & Commercial Model:
On-device / Embedded AI Solutions
Hybrid Edge–Cloud AI Platforms
AI Plug-ins for Existing Ultrasound Systems
Others
Segmentation by AI Function Depth:
Scan Guidance & View Recognition
Automated Measurement & Quantification
Structural & Functional Abnormality Detection
Disease Classification & Risk Stratification
Others
Segmentation by Application:
Hospital
Clinic
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
GE HealthCare
Philips
Siemens Healthineers
Canon Medical Systems
Samsung Medison
Mindray
Butterfly Network
Exo
Clarius
UltraSight
Us2.ai
Ultromics
United Imaging
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
108 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Cardiovascular Ultrasound Solution Market Size by Player
- 4 AI Cardiovascular Ultrasound Solution by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Cardiovascular Ultrasound Solution Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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