Global AI Ultrasound Device Market Growth 2026-2032
Description
The global AI Ultrasound Device market size is predicted to grow from US$ 1099 million in 2025 to US$ 4586 million in 2032; it is expected to grow at a CAGR of 22.7% from 2026 to 2032.
AI Ultrasound Devices are ultrasound imaging systems with embedded or tightly integrated artificial intelligence that supports image acquisition, interpretation, quantification, and workflow automation directly at the device level. Unlike software-only AI solutions, these devices combine ultrasound hardware (handheld, portable, or cart-based systems) with on-device or hybrid edge–cloud AI models that provide real-time scan guidance, automated measurements, and disease-related pattern recognition. By reducing operator dependency and standardizing image quality, AI ultrasound devices significantly lower the skill barrier of conventional ultrasound and expand its use in point-of-care settings such as emergency departments, ICUs, primary care clinics, and resource-limited environments.
From a multi-dimensional classification perspective, the market can be parameterized by device form factor (handheld, portable, cart-based, wearable), AI integration level (fully embedded on-device AI, hybrid edge–cloud AI, software-upgradable AI devices), clinical focus (POCUS, critical care, lung and cardiopulmonary, OB/GYN, general imaging), performance tier (entry-level, mid-range clinical, high-end diagnostic), and regulatory status (research/training, clinical decision support, fully regulated diagnostic devices). These dimensions align closely with procurement behavior, as buyers evaluate portability, clinical scope, regulatory clearance, and total cost of ownership when selecting AI-enabled ultrasound hardware.
In 2025, global AI Ultrasound Device production reached approximately 21.9 thousand units, with an average global market price of around USD 51,250 per unit, reflecting a mix of high-end cart-based systems and rapidly growing handheld devices.
The value chain begins upstream with transducer suppliers, semiconductor and processor vendors, and core ultrasound hardware manufacturers. Midstream players include AI algorithm developers, embedded software providers, and cloud infrastructure partners supporting model training and updates. Downstream customers consist mainly of hospitals, imaging centers, emergency and critical care units, outpatient clinics, and increasingly public health and primary care organizations. Distribution often involves a mix of direct sales, regional distributors, and enterprise framework agreements, particularly for large healthcare systems.
Cost structures are driven by hardware BOM (probes, electronics, displays), AI software development, clinical validation, and regulatory compliance. While hardware costs cap margins compared with pure software models, AI functionality enables premium pricing and recurring revenue through software upgrades and service contracts. As a result, gross margins for AI ultrasound devices are typically higher than conventional ultrasound systems but lower than standalone AI software. Market trends point toward strong growth in handheld and POCUS devices, deeper on-device AI capabilities, broader regulatory approvals, and expanding adoption in primary care, emergency medicine, and global health programs.
LP Information, Inc. (LPI) ' newest research report, the “AI Ultrasound Device Industry Forecast” looks at past sales and reviews total world AI Ultrasound Device sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Ultrasound Device sales for 2026 through 2032. With AI Ultrasound Device sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Ultrasound Device industry.
This Insight Report provides a comprehensive analysis of the global AI Ultrasound Device landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI Ultrasound Device portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Ultrasound Device market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Ultrasound Device 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 Device.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Ultrasound Device market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Handheld
Desktop
Segmentation by Performance & Configuration Tier:
Entry-level AI Ultrasound Devices
Mid-range Clinical AI Systems
High-end Diagnostic AI Devices
Specialty-focused AI Devices
Others
Segmentation by Clinical Application Focus:
POCUS & Emergency Ultrasound
Critical Care & ICU Ultrasound
Lung & Cardio-pulmonary Ultrasound
OB/GYN & Women’s Health
General & Multi-organ Imaging
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 analysing the company's coverage, product portfolio, its market penetration.
GE HealthCare
Philips
Siemens Healthineers
Canon Medical Systems
Samsung Medison
Mindray
Butterfly Network
Exo
Clarius Mobile Health
United Imaging
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Ultrasound Device market?
What factors are driving AI Ultrasound Device market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Ultrasound Device market opportunities vary by end market size?
How does AI Ultrasound Device break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
AI Ultrasound Devices are ultrasound imaging systems with embedded or tightly integrated artificial intelligence that supports image acquisition, interpretation, quantification, and workflow automation directly at the device level. Unlike software-only AI solutions, these devices combine ultrasound hardware (handheld, portable, or cart-based systems) with on-device or hybrid edge–cloud AI models that provide real-time scan guidance, automated measurements, and disease-related pattern recognition. By reducing operator dependency and standardizing image quality, AI ultrasound devices significantly lower the skill barrier of conventional ultrasound and expand its use in point-of-care settings such as emergency departments, ICUs, primary care clinics, and resource-limited environments.
From a multi-dimensional classification perspective, the market can be parameterized by device form factor (handheld, portable, cart-based, wearable), AI integration level (fully embedded on-device AI, hybrid edge–cloud AI, software-upgradable AI devices), clinical focus (POCUS, critical care, lung and cardiopulmonary, OB/GYN, general imaging), performance tier (entry-level, mid-range clinical, high-end diagnostic), and regulatory status (research/training, clinical decision support, fully regulated diagnostic devices). These dimensions align closely with procurement behavior, as buyers evaluate portability, clinical scope, regulatory clearance, and total cost of ownership when selecting AI-enabled ultrasound hardware.
In 2025, global AI Ultrasound Device production reached approximately 21.9 thousand units, with an average global market price of around USD 51,250 per unit, reflecting a mix of high-end cart-based systems and rapidly growing handheld devices.
The value chain begins upstream with transducer suppliers, semiconductor and processor vendors, and core ultrasound hardware manufacturers. Midstream players include AI algorithm developers, embedded software providers, and cloud infrastructure partners supporting model training and updates. Downstream customers consist mainly of hospitals, imaging centers, emergency and critical care units, outpatient clinics, and increasingly public health and primary care organizations. Distribution often involves a mix of direct sales, regional distributors, and enterprise framework agreements, particularly for large healthcare systems.
Cost structures are driven by hardware BOM (probes, electronics, displays), AI software development, clinical validation, and regulatory compliance. While hardware costs cap margins compared with pure software models, AI functionality enables premium pricing and recurring revenue through software upgrades and service contracts. As a result, gross margins for AI ultrasound devices are typically higher than conventional ultrasound systems but lower than standalone AI software. Market trends point toward strong growth in handheld and POCUS devices, deeper on-device AI capabilities, broader regulatory approvals, and expanding adoption in primary care, emergency medicine, and global health programs.
LP Information, Inc. (LPI) ' newest research report, the “AI Ultrasound Device Industry Forecast” looks at past sales and reviews total world AI Ultrasound Device sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Ultrasound Device sales for 2026 through 2032. With AI Ultrasound Device sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Ultrasound Device industry.
This Insight Report provides a comprehensive analysis of the global AI Ultrasound Device landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI Ultrasound Device portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Ultrasound Device market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Ultrasound Device 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 Device.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Ultrasound Device market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Handheld
Desktop
Segmentation by Performance & Configuration Tier:
Entry-level AI Ultrasound Devices
Mid-range Clinical AI Systems
High-end Diagnostic AI Devices
Specialty-focused AI Devices
Others
Segmentation by Clinical Application Focus:
POCUS & Emergency Ultrasound
Critical Care & ICU Ultrasound
Lung & Cardio-pulmonary Ultrasound
OB/GYN & Women’s Health
General & Multi-organ Imaging
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 analysing the company's coverage, product portfolio, its market penetration.
GE HealthCare
Philips
Siemens Healthineers
Canon Medical Systems
Samsung Medison
Mindray
Butterfly Network
Exo
Clarius Mobile Health
United Imaging
Key Questions Addressed in this Report
What is the 10-year outlook for the global AI Ultrasound Device market?
What factors are driving AI Ultrasound Device market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do AI Ultrasound Device market opportunities vary by end market size?
How does AI Ultrasound Device break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
95 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for AI Ultrasound Device by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for AI Ultrasound Device by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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