Global AI Ultrasound Solution Market Growth (Status and Outlook) 2026-2032
Description
The global AI Ultrasound Solution market size is predicted to grow from US$ 2299 million in 2025 to US$ 8507 million in 2032; it is expected to grow at a CAGR of 20.6% from 2026 to 2032.
AI Ultrasound Solutions refer to ultrasound imaging systems enhanced by artificial intelligence algorithms that assist clinicians in image acquisition, interpretation, quantification, and clinical decision-making. These solutions typically combine ultrasound hardware (handheld, portable, or cart-based systems) with AI software capable of real-time scan guidance, automated anatomy recognition, measurement, and disease detection. By reducing operator dependency and standardizing image quality, AI ultrasound addresses long-standing limitations of conventional ultrasound, such as variability in skill levels and workflow inefficiencies. Commercially, AI ultrasound is positioned across point-of-care ultrasound (POCUS), emergency medicine, critical care, obstetrics, cardiology, and general imaging. Depending on regulatory clearance, products may function as clinical decision support tools or as regulated Software as a Medical Device (SaMD), with increasing emphasis on explainability, real-time feedback, and seamless integration into clinical workflows.
From a multi-angle classification perspective, the market can be parameterized by device form factor (handheld, cart-based, wearable), clinical application (POCUS, ICU, obstetrics, cardiology, lung and abdominal imaging), AI functional depth (scan guidance, automated measurements, disease classification, workflow automation), deployment model (on-device edge AI, hybrid edge–cloud, cloud-based SaaS), and commercialization status (research/training use, clinical decision support, fully regulated diagnostic systems). These dimensions reflect real-world purchasing behavior, as customers balance portability, performance, regulatory compliance, and IT constraints when selecting AI-enabled ultrasound solutions.
The value chain begins upstream with ultrasound transducer and system manufacturers, semiconductor and computing component suppliers, and data annotation partners. Midstream players include AI algorithm developers, software platform providers, and cloud infrastructure vendors. Downstream customers consist mainly of hospitals, emergency departments, outpatient clinics, and primary care providers, with growing adoption in remote and resource-limited settings. System integrators and distributors often play a role in deployment, training, and maintenance, particularly for enterprise and multi-site installations.
Cost structures are dominated by R&D, algorithm training, clinical validation, and regulatory compliance, representing high fixed costs, while variable costs include cloud computing, software updates, and customer support. Gross margins are generally favorable for software-heavy offerings, though device-integrated solutions may show lower margins due to hardware costs. Transactions typically involve pilot evaluations, followed by subscription-based or per-device licensing models, sometimes bundled with hardware sales. Market trends point toward rapid growth in handheld and POCUS applications, deeper AI automation at the edge, broader regulatory approvals, and expanding use in primary care and global health scenarios.
LPI (LP Information)' newest research report, the “AI Ultrasound Solution Industry Forecast” looks at past sales and reviews total world AI Ultrasound Solution sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Ultrasound Solution sales for 2026 through 2032. With AI 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 Ultrasound Solution industry.
This Insight Report provides a comprehensive analysis of the global AI 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 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 Ultrasound Solution market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI 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 Ultrasound Solution.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Ultrasound Solution market by product type, application, key players and key regions and countries.
Segmentation by Type:
Platform
Software
Hardware
Segmentation by AI Functional Depth:
Anatomical Guidance & Probe Positioning
Pattern Recognition Systems
Quantitative Scoring Systems
Others
Segmentation by Deployment & Architecture Model:
On-premise
Private Cloud (Hospital-owned Cloud)
Public Cloud / SaaS
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.
Butterfly Network
GE HealthCare
Philips
Siemens Healthineers
Canon Medical
Samsung Medison
Clarius
Exo
UltraSight
DiA Imaging
Us2.ai
Ultromics
See-Mode Technologies
Deepwise
INFERVISION TECHNOLOGY
Lianying Intelligent Medical Technology (United Imaging)
SmartAlpha
Demetics Medical Technology
Please note: The report will take approximately 2 business days to prepare and deliver.
AI Ultrasound Solutions refer to ultrasound imaging systems enhanced by artificial intelligence algorithms that assist clinicians in image acquisition, interpretation, quantification, and clinical decision-making. These solutions typically combine ultrasound hardware (handheld, portable, or cart-based systems) with AI software capable of real-time scan guidance, automated anatomy recognition, measurement, and disease detection. By reducing operator dependency and standardizing image quality, AI ultrasound addresses long-standing limitations of conventional ultrasound, such as variability in skill levels and workflow inefficiencies. Commercially, AI ultrasound is positioned across point-of-care ultrasound (POCUS), emergency medicine, critical care, obstetrics, cardiology, and general imaging. Depending on regulatory clearance, products may function as clinical decision support tools or as regulated Software as a Medical Device (SaMD), with increasing emphasis on explainability, real-time feedback, and seamless integration into clinical workflows.
From a multi-angle classification perspective, the market can be parameterized by device form factor (handheld, cart-based, wearable), clinical application (POCUS, ICU, obstetrics, cardiology, lung and abdominal imaging), AI functional depth (scan guidance, automated measurements, disease classification, workflow automation), deployment model (on-device edge AI, hybrid edge–cloud, cloud-based SaaS), and commercialization status (research/training use, clinical decision support, fully regulated diagnostic systems). These dimensions reflect real-world purchasing behavior, as customers balance portability, performance, regulatory compliance, and IT constraints when selecting AI-enabled ultrasound solutions.
The value chain begins upstream with ultrasound transducer and system manufacturers, semiconductor and computing component suppliers, and data annotation partners. Midstream players include AI algorithm developers, software platform providers, and cloud infrastructure vendors. Downstream customers consist mainly of hospitals, emergency departments, outpatient clinics, and primary care providers, with growing adoption in remote and resource-limited settings. System integrators and distributors often play a role in deployment, training, and maintenance, particularly for enterprise and multi-site installations.
Cost structures are dominated by R&D, algorithm training, clinical validation, and regulatory compliance, representing high fixed costs, while variable costs include cloud computing, software updates, and customer support. Gross margins are generally favorable for software-heavy offerings, though device-integrated solutions may show lower margins due to hardware costs. Transactions typically involve pilot evaluations, followed by subscription-based or per-device licensing models, sometimes bundled with hardware sales. Market trends point toward rapid growth in handheld and POCUS applications, deeper AI automation at the edge, broader regulatory approvals, and expanding use in primary care and global health scenarios.
LPI (LP Information)' newest research report, the “AI Ultrasound Solution Industry Forecast” looks at past sales and reviews total world AI Ultrasound Solution sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Ultrasound Solution sales for 2026 through 2032. With AI 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 Ultrasound Solution industry.
This Insight Report provides a comprehensive analysis of the global AI 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 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 Ultrasound Solution market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI 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 Ultrasound Solution.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Ultrasound Solution market by product type, application, key players and key regions and countries.
Segmentation by Type:
Platform
Software
Hardware
Segmentation by AI Functional Depth:
Anatomical Guidance & Probe Positioning
Pattern Recognition Systems
Quantitative Scoring Systems
Others
Segmentation by Deployment & Architecture Model:
On-premise
Private Cloud (Hospital-owned Cloud)
Public Cloud / SaaS
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.
Butterfly Network
GE HealthCare
Philips
Siemens Healthineers
Canon Medical
Samsung Medison
Clarius
Exo
UltraSight
DiA Imaging
Us2.ai
Ultromics
See-Mode Technologies
Deepwise
INFERVISION TECHNOLOGY
Lianying Intelligent Medical Technology (United Imaging)
SmartAlpha
Demetics Medical Technology
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
122 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Ultrasound Solution Market Size by Player
- 4 AI Ultrasound Solution by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Ultrasound Solution Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
