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Global Ultrasound AI Software Supply, Demand and Key Producers, 2026-2032

Publisher GlobalInfoResearch
Published Apr 01, 2026
Length 169 Pages
SKU # GFSH21052638

Description

The global Ultrasound AI Software market size is expected to reach $ 2494 million by 2032, rising at a market growth of 16.9% CAGR during the forecast period (2026-2032).

In 2025, the number of active paying accounts for Ultrasound AI Softwares globally is estimated at around 45,000. Primarily charged on a "device-side licensing + cloud algorithm subscription" model, the average monthly subscription price is around $1,500 per device (varying significantly depending on whether it includes modules for automatic structural recognition, automated measurement, remote quality control, and cloud-based case management). The main sources of demand include prenatal screening, cardiac ultrasound, emergency care, and point-of-care ultrasound (POCUS) scenarios. The European and American markets account for approximately 60% of the market, with large obstetrics and gynecology and cardiovascular centers in North America being the core paying customers; growth is accelerating in the Asia-Pacific region (China, Japan, and Singapore). These products are no longer considered hardware assets in the healthcare system, but rather "algorithm-layer infrastructure" embedded in the imaging workflow. Their value lies in improving examination consistency, reducing human measurement errors, and enhancing operability for primary care physicians. Ultrasound AI Softwares are digital platforms that use deep learning models and real-time image recognition algorithms to transform 2D/3D images acquired by ultrasound equipment into automatic structural recognition, automated measurement, and intelligent diagnostic prompts. Its core purpose is not to replace ultrasound physicians, but rather to serve as a standardized auxiliary decision-making layer in highly variable imaging scenarios. Compared to traditional ultrasound procedures that rely on manual identification and measurement, the AI ​​software can achieve highly consistent output in areas such as heart chamber size measurement, fetal structure screening, and abnormal risk alerts, making it a standardized tool for procedures in obstetric, cardiovascular, and emergency ultrasound. With increased computing power and expanded data scale, the platform is evolving from an "automatic measurement tool" to a "real-time clinical decision support system."

This report studies the global Ultrasound AI Software demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Ultrasound AI Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2025 as the base year. This report explores demand trends and competition, as well as details the characteristics of Ultrasound AI Software that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global Ultrasound AI Software total market, 2021-2032, (USD Million)

Global Ultrasound AI Software total market by region & country, CAGR, 2021-2032, (USD Million)

U.S. VS China: Ultrasound AI Software total market, key domestic companies, and share, (USD Million)

Global Ultrasound AI Software revenue by player, revenue and market share 2021-2026, (USD Million)

Global Ultrasound AI Software total market by Deployment Method, CAGR, 2021-2032, (USD Million)

Global Ultrasound AI Software total market by Application, CAGR, 2021-2032, (USD Million)

This report profiles major players in the global Ultrasound AI Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include BrightHeart, Diagnoly, Sonio, Ultrasound AI, SmartAlpha, Caption Health, Philips, RayShape, Intelligent Ultrasound, Butterfly Network, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the world Ultrasound AI Software market

Detailed Segmentation:

Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Deployment Method, and by Application. Data is given for the years 2021-2032 by year with 2025 as the base year, 2026 as the estimate year, and 2027-2032 as the forecast year.

Global Ultrasound AI Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Ultrasound AI Software Market, Segmentation by Deployment Method:
Cloud-Based
On-Premise
Hybrid Cloud Architecture

Global Ultrasound AI Software Market, Segmentation by Functional Hierarchy:
Image Enhancement
Automatic Structure Recognition
Automatic Measurement
Anomaly Risk Scoring
Others

Global Ultrasound AI Software Market, Segmentation by Business Model:
Single Device Licensing
SaaS Platform Subscription
Healthcare Group-Level Subscription
Others

Global Ultrasound AI Software Market, Segmentation by Application:
Hospital
Clinic
Others

Companies Profiled:
BrightHeart
Diagnoly
Sonio
Ultrasound AI
SmartAlpha
Caption Health
Philips
RayShape
Intelligent Ultrasound
Butterfly Network
UltraSight
Origin Medical
Mindray
GE HealthCare
ThinkSono
DESKi
Deepecho
BabyFlix
BioticsAI
Exo Imaging
Us2.ai
RIVANNA

Key Questions Answered

1. How big is the global Ultrasound AI Software market?

2. What is the demand of the global Ultrasound AI Software market?

3. What is the year over year growth of the global Ultrasound AI Software market?

4. What is the total value of the global Ultrasound AI Software market?

5. Who are the Major Players in the global Ultrasound AI Software market?

6. What are the growth factors driving the market demand?

Table of Contents

169 Pages
1 Supply Summary
2 Demand Summary
3 World Ultrasound AI Software Companies Competitive Analysis
4 United States VS China VS Rest of World (by Headquarter Location)
5 Market Analysis by Deployment Method
6 Market Analysis by Functional Hierarchy
7 Market Analysis by Business Model
8 Market Analysis by Application
9 Company Profiles
10 Industry Chain Analysis
11 Research Findings and Conclusion
12 Appendix
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