Artificial Intelligence in Ultrasound Imaging Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Artificial Intelligence in Ultrasound Imaging Market is segmented by Solution (Hardware, Software, and Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, and Other Technologies), Application (Cardiology, Obstetrics and Gynecology, Gastroenterology, Radiology, and Other Applications), End Users (Hospitals, Diagnostic Centers, and Other End Users) and Geography (North America, Europe, Asia-Pacific, and Rest of the World). The report offers the value (in USD million) for the above segments.

Artificial Intelligence in Ultrasound Imaging Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Artificial Intelligence In Ultrasound Imaging Market Size

Artificial Intelligence In Ultrasound Imaging Market Summary
Study Period 2019 - 2030
Base Year For Estimation 2024
Forecast Data Period 2025 - 2030
Historical Data Period 2019 - 2023
CAGR 9.60 %
Fastest Growing Market Asia-Pacific
Largest Market North America

Major Players

Artificial Intelligence In Ultrasound Imaging Market Major Players

*Disclaimer: Major Players sorted in no particular order

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Artificial Intelligence In Ultrasound Imaging Market Analysis

The Artificial Intelligence In Ultrasound Imaging Market is expected to register a CAGR of 9.6% during the forecast period.

The pandemic outbreak of the novel coronavirus disease highlighted the need to combine rapid, non-invasive, and widely accessible techniques with the lowest risk of patient cross-infection to enable successful early identification and surveillance of the sickness. The potential of lung ultrasound technology continues to develop in this area as it has proven beneficial in the differential diagnosis and follow-up of COVID-19 patients. For instance, as per the report published by the Journal of Imaging in March 2022, artificial intelligence (AI), particularly machine learning, was used as a critical tool that assists clinicians in lung ultrasound image reading and COVID-19 decision-making. This shows the key role of artificial intelligence in ultrasound imaging for the diagnosis of COVID-19, which had a significant impact on the market growth.

The major factors augmenting the growth of the market include a rise in chronic diseases and the geriatric population, a rising focus on reducing the workload of radiologists, and government initiatives to increase the adoption of AI-based technologies. One of the major driving factors is the rising burden of chronic diseases such as cardiovascular diseases and cancers. For instance, as per the updated report published by Macmillan Cancer Support in October 2022, around 3 million people were living with cancer in the United Kingdom in 2021, which is likely to rise to 3.5 million by 2025, 4 million by 2030, and 5.3 million by 2040. Thus, with the rise in the prevalence of cancer, the demand for diagnosis using artificial intelligence in ultrasound is likely to increase, which will help the market to grow over the forecast period.

Furthermore, the partnerships and collaborations of the major market players are also contributing to the market growth. For instance, in March 2022, Royal Philips and DiA Imaging Analysis Ltd., one of the leading providers of AI-powered applications for ultrasound, entered a strategic partnership to deliver automated solutions to clinicians at the point of care. Philips' ultrasound image quality combined with DiA's AI library of automated solutions helps to increase diagnostic confidence, operational efficiency, and access to care for point-of-care customers in and out of the hospital. These partnerships among the market players enable businesses to produce high-quality ultrasound images utilizing artificial intelligence. Thus, this is likely to create demand for the product, thereby contributing to the market growth over the forecast period.

However, high procurement costs and maintenance, along with reluctance among medical practitioners to adopt AI-based technologies, may restrain the growth of the market over the forecast period.

Artificial Intelligence In Ultrasound Imaging Industry Overview

The artificial intelligence in the ultrasound imaging market is moderately consolidated and consists of several market players. The market players are focusing on partnerships and agreements for new technology advancements in ultrasound imaging. Some of the major players include Siemens Healthcare GmbH, Qure.ai, Ultrasound AI Inc., Samsung, General Electric Company, Koninklijke Philips N.V, DiA Imaging Analysis, Exo Imaging, Inc (Medo Inc), Butterfly Network, Inc., and Caption Health.

Artificial Intelligence In Ultrasound Imaging Market Leaders

  1. Siemens Healthcare GmbH

  2. Samsung

  3. General Electric Company

  4. DiA Imaging Analysis

  5. Caption Health

  6. *Disclaimer: Major Players sorted in no particular order
Artificial Intelligence in Ultrasound Imaging Market Concentration
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Artificial Intelligence In Ultrasound Imaging Market News

  • February 2023: GE HealthCare signed an agreement to acquire Caption Health, Inc. With Caption AI applications, ultrasound examinations can be easier and faster, enabling a broader set of healthcare professionals to conduct basic echocardiogram exams.
  • February 2023: Clarius Mobile Health received 510(k) clearance for its new MSK AI model, which automatically identifies and measures tendons in the foot, ankle, and knee using artificial intelligence (AI). The new MSK AI model will be available soon with the Clarius L7 HD3 and Clarius L15 HD3 high-frequency wireless handheld ultrasound scanners.

Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Rise in Chronic Diseases and Geriatric Population
    • 4.2.2 Rising Focus on Reducing the Workload of Radiologists
    • 4.2.3 Government Initiative to Increase the Adoption of AI-Based Technologies
  • 4.3 Market Restraints
    • 4.3.1 High Procurement Costs and Maintenance
    • 4.3.2 Reluctance Among Medical Practitioners to Adopt AI Based Technologies
  • 4.4 Porter's Five Forces Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry

5. MARKET SEGMENTATION (Market Size by Value - USD million)

  • 5.1 By Solution
    • 5.1.1 Hardware
    • 5.1.2 Software
    • 5.1.3 Services
  • 5.2 By Technology
    • 5.2.1 Machine Learning
    • 5.2.2 Natural Language Processing
    • 5.2.3 Context Aware Computing
    • 5.2.4 Computer Vision
    • 5.2.5 Other Technologies
  • 5.3 By Application
    • 5.3.1 Cardiology
    • 5.3.2 Obstetrics and Gynecology
    • 5.3.3 Gastroenterology
    • 5.3.4 Other Applications
  • 5.4 By End Users
    • 5.4.1 Hospitals
    • 5.4.2 Diagnostic Centers
    • 5.4.3 Other End Users
  • 5.5 Geography
    • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
    • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Spain
    • 5.5.2.6 Rest of Europe
    • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 Australia
    • 5.5.3.5 South Korea
    • 5.5.3.6 Rest of Asia-Pacific
    • 5.5.4 Rest of the World

6. COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Siemens Healthcare GmbH
    • 6.1.2 Qure.ai
    • 6.1.3 Ultrasound AI Inc.
    • 6.1.4 Samsung
    • 6.1.5 General Electric Company
    • 6.1.6 Koninklijke Philips N.V
    • 6.1.7 DiA Imaging Analysis
    • 6.1.8 Exo Imaging, Inc (Medo Inc)
    • 6.1.9 Butterfly Network, Inc.
    • 6.1.10 Caption Health
    • 6.1.11 DESKi
    • 6.1.12 EchoNous Inc
  • *List Not Exhaustive

7. MARKET OPPORTUNITIES AND FUTURE TRENDS

**Subject to Availability
**Competitive Landscape covers- Business Overview, Financials, Products and Strategies, and Recent Developments
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Artificial Intelligence In Ultrasound Imaging Industry Segmentation

As per the scope of the report, Artificial intelligence (AI) in ultrasound imaging includes the incorporation of AI into imaging, which transforms medical images into high-throughput mineable data. AI-empowered ultrasonography has the potential to accelerate the use of medical ultrasound in various clinical settings with broad usage by medical personnel. The three main applications of artificial intelligence in ultrasonic image analysis include detection, diagnosis or classification, and image segmentation, which helps radiologists to analyze images more accurately. The Artificial Intelligence in Ultrasound Imaging Market is segmented by Solution (Hardware, Software, and Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision, and Other Technologies), Application (Cardiology, Obstetrics and Gynecology, Gastroenterology, Radiology, and Other Applications), End Users (Hospitals, Diagnostic Centers, and Other End Users) and Geography (North America, Europe, Asia-Pacific, and Rest of the World). The report offers the value (in USD million) for the above segments.

By Solution Hardware
Software
Services
By Technology Machine Learning
Natural Language Processing
Context Aware Computing
Computer Vision
Other Technologies
By Application Cardiology
Obstetrics and Gynecology
Gastroenterology
Other Applications
By End Users Hospitals
Diagnostic Centers
Other End Users
Geography North America United States
Canada
Mexico
Europe Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific China
Japan
India
Australia
South Korea
Rest of Asia-Pacific
Rest of the World
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Frequently Asked Questions

What is the current Artificial Intelligence In Ultrasound Imaging Market size?

The Artificial Intelligence In Ultrasound Imaging Market is projected to register a CAGR of 9.6% during the forecast period (2025-2030)

Who are the key players in Artificial Intelligence In Ultrasound Imaging Market?

Siemens Healthcare GmbH, Samsung, General Electric Company, DiA Imaging Analysis and Caption Health are the major companies operating in the Artificial Intelligence In Ultrasound Imaging Market.

Which is the fastest growing region in Artificial Intelligence In Ultrasound Imaging Market?

Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Artificial Intelligence In Ultrasound Imaging Market?

In 2025, the North America accounts for the largest market share in Artificial Intelligence In Ultrasound Imaging Market.

What years does this Artificial Intelligence In Ultrasound Imaging Market cover?

The report covers the Artificial Intelligence In Ultrasound Imaging Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Artificial Intelligence In Ultrasound Imaging Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Artificial Intelligence In Ultrasound Imaging Industry Report

Statistics for the 2025 Artificial Intelligence In Ultrasound Imaging market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Artificial Intelligence In Ultrasound Imaging analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.