Global AI Lung Ultrasound Solution Market Growth (Status and Outlook) 2026-2032
Description
The global AI Lung Ultrasound Solution market size is predicted to grow from US$ 283 million in 2025 to US$ 1310 million in 2032; it is expected to grow at a CAGR of 24.5% from 2026 to 2032.
AI Lung Ultrasound Solution is a software-centric clinical decision support system designed to assist clinicians in assessing pulmonary conditions by analyzing lung ultrasound (LUS) images and cine loops. Unlike CT-based screening, these solutions leverage point-of-care ultrasound to identify and quantify sonographic patterns such as B-lines, pleural line abnormalities, consolidations, and effusions, supporting triage, monitoring, and follow-up in emergency, critical care, respiratory, and primary-care settings. The “solution” typically includes AI inference software, workflow integration with ultrasound devices, and standardized reporting modules; it may be embedded directly on ultrasound machines (edge-AI) or deployed via cloud or on-premise servers. Clinical value centers on radiation-free, repeatable bedside assessment, rapid decision support, and improved inter-operator consistency in settings where CT access is limited or time-critical.
From a multi-angle segmentation and parameterization perspective, the market can be classified by: (1) Clinical use case—acute care triage (e.g., pneumonia, pulmonary edema), longitudinal monitoring (ICU, heart failure), or outpatient screening; (2) AI functions—pattern detection, region-level scoring, severity quantification, and trend analysis; (3) Deployment model—on-device/edge, private cloud, public cloud/SaaS, or hybrid; (4) Integration depth—standalone app vs OEM-embedded modules within ultrasound consoles; and (5) User type—physicians, nurses, or sonographers. Key quantitative parameters include supported probe types, frame rate and cine length, sensitivity/specificity at predefined thresholds, scoring granularity, processing latency, and interoperability standards.
The industry value chain begins upstream with ultrasound hardware OEMs, probe and semiconductor suppliers, and compute providers. Midstream players develop AI models, annotation pipelines, and clinical validation—often in partnership with hospitals and academic centers to capture diverse LUS datasets. Downstream customers include hospitals, emergency departments, ICUs, outpatient clinics, and home-care programs. Cost structures are dominated by R&D and clinical validation, regulatory compliance, software integration, and ongoing model maintenance. As a predominantly software product, AI Lung Ultrasound solutions typically achieve high gross margins (often ~65–85%) at scale, although early deployments may see margin pressure from customization, training, and support.
In commercial transactions, pricing commonly follows per-device or per-site subscriptions, usage-based fees, or OEM licensing bundled with ultrasound systems; pilot studies frequently precede multi-year contracts. Market momentum is driven by the expansion of point-of-care ultrasound, workforce shortages, and demand for rapid, low-cost respiratory assessment. Emerging trends include deeper OEM embedding, multimodal fusion with clinical data, broader regulatory clearances, and expansion from COVID-era applications toward chronic disease management and routine respiratory care—positioning AI Lung Ultrasound as a scalable complement to CT-based pathways.
LPI (LP Information)' newest research report, the “AI Lung Ultrasound Solution Industry Forecast” looks at past sales and reviews total world AI Lung Ultrasound Solution sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Lung Ultrasound Solution sales for 2026 through 2032. With AI Lung 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 Lung Ultrasound Solution industry.
This Insight Report provides a comprehensive analysis of the global AI Lung 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 Lung 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 Lung Ultrasound Solution market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Lung 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 Lung Ultrasound Solution.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Lung Ultrasound Solution market by product type, application, key players and key regions and countries.
Segmentation by Type:
Handheld Ultrasound + Embedded AI
Cart-based Ultrasound + AI Modules
Others
Segmentation by AI Functional Capability:
Anatomical Guidance & Probe Positioning
Pattern Recognition Systems
Quantitative Scoring Systems
Others
Segmentation by Deployment & Connectivity 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
DiA Imaging
Exo Imaging
GE Healthcare
Philips
Canon Medical
Lianying Intelligent Medical Technology
Please note: The report will take approximately 2 business days to prepare and deliver.
AI Lung Ultrasound Solution is a software-centric clinical decision support system designed to assist clinicians in assessing pulmonary conditions by analyzing lung ultrasound (LUS) images and cine loops. Unlike CT-based screening, these solutions leverage point-of-care ultrasound to identify and quantify sonographic patterns such as B-lines, pleural line abnormalities, consolidations, and effusions, supporting triage, monitoring, and follow-up in emergency, critical care, respiratory, and primary-care settings. The “solution” typically includes AI inference software, workflow integration with ultrasound devices, and standardized reporting modules; it may be embedded directly on ultrasound machines (edge-AI) or deployed via cloud or on-premise servers. Clinical value centers on radiation-free, repeatable bedside assessment, rapid decision support, and improved inter-operator consistency in settings where CT access is limited or time-critical.
From a multi-angle segmentation and parameterization perspective, the market can be classified by: (1) Clinical use case—acute care triage (e.g., pneumonia, pulmonary edema), longitudinal monitoring (ICU, heart failure), or outpatient screening; (2) AI functions—pattern detection, region-level scoring, severity quantification, and trend analysis; (3) Deployment model—on-device/edge, private cloud, public cloud/SaaS, or hybrid; (4) Integration depth—standalone app vs OEM-embedded modules within ultrasound consoles; and (5) User type—physicians, nurses, or sonographers. Key quantitative parameters include supported probe types, frame rate and cine length, sensitivity/specificity at predefined thresholds, scoring granularity, processing latency, and interoperability standards.
The industry value chain begins upstream with ultrasound hardware OEMs, probe and semiconductor suppliers, and compute providers. Midstream players develop AI models, annotation pipelines, and clinical validation—often in partnership with hospitals and academic centers to capture diverse LUS datasets. Downstream customers include hospitals, emergency departments, ICUs, outpatient clinics, and home-care programs. Cost structures are dominated by R&D and clinical validation, regulatory compliance, software integration, and ongoing model maintenance. As a predominantly software product, AI Lung Ultrasound solutions typically achieve high gross margins (often ~65–85%) at scale, although early deployments may see margin pressure from customization, training, and support.
In commercial transactions, pricing commonly follows per-device or per-site subscriptions, usage-based fees, or OEM licensing bundled with ultrasound systems; pilot studies frequently precede multi-year contracts. Market momentum is driven by the expansion of point-of-care ultrasound, workforce shortages, and demand for rapid, low-cost respiratory assessment. Emerging trends include deeper OEM embedding, multimodal fusion with clinical data, broader regulatory clearances, and expansion from COVID-era applications toward chronic disease management and routine respiratory care—positioning AI Lung Ultrasound as a scalable complement to CT-based pathways.
LPI (LP Information)' newest research report, the “AI Lung Ultrasound Solution Industry Forecast” looks at past sales and reviews total world AI Lung Ultrasound Solution sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Lung Ultrasound Solution sales for 2026 through 2032. With AI Lung 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 Lung Ultrasound Solution industry.
This Insight Report provides a comprehensive analysis of the global AI Lung 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 Lung 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 Lung Ultrasound Solution market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Lung 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 Lung Ultrasound Solution.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Lung Ultrasound Solution market by product type, application, key players and key regions and countries.
Segmentation by Type:
Handheld Ultrasound + Embedded AI
Cart-based Ultrasound + AI Modules
Others
Segmentation by AI Functional Capability:
Anatomical Guidance & Probe Positioning
Pattern Recognition Systems
Quantitative Scoring Systems
Others
Segmentation by Deployment & Connectivity 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
DiA Imaging
Exo Imaging
GE Healthcare
Philips
Canon Medical
Lianying Intelligent Medical Technology
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
86 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Lung Ultrasound Solution Market Size by Player
- 4 AI Lung Ultrasound Solution by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Lung Ultrasound Solution Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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