AI In Ultrasound Imaging Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Solution (Software Tools, Services, Devices), By Application (Radiology, Cardiovascular, Gastroenterology, Obstetrics & Gynecology), By Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision), By Ultrasound Technology (Diagnostic Imaging, Therapeutic, 2D or 3D/4D Ultrasound Imaging, High Intensity Focused Ultrasound, Extracorporeal Shockwave Lithotripsy, Doppler Ultrasound), By End Use (Hospitals, Clinics, Research Labs & Diagnostic Centers, Others), By Region and Competition, 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 1.34 Billion
CAGR (2026-2031)	6.63%
Fastest Growing Segment	Software Tools
Largest Market	North America
Market Size (2031)	USD 1.97 Billion

Market Overview

The Global AI In Ultrasound Imaging Market will grow from USD 1.34 Billion in 2025 to USD 1.97 Billion by 2031 at a 6.63% CAGR. Artificial intelligence in ultrasound imaging involves the application of machine learning algorithms to sonography systems to automate image capture, improve quality, and assist in diagnostic interpretation. The market is fundamentally driven by the need to streamline clinical workflows and address the ongoing scarcity of qualified medical personnel, which necessitates technology that can augment human performance. According to the American Society of Radiologic Technologists, in 2025, the vacancy rate for sonography positions in the United States was 12.4%. This workforce gap accelerates the demand for automated tools that can maintain high throughput and diagnostic consistency despite staffing constraints.

A significant challenge impeding broader market expansion is the complexity of integrating these algorithms into legacy hospital information systems. The lack of standardized interoperability protocols often creates technical barriers that prevent seamless data exchange between AI applications and existing electronic health records, thereby discouraging healthcare facilities from scaling these solutions.

Key Market Drivers

The rapid expansion of Point-of-Care Ultrasound (POCUS) applications is a primary catalyst for the market, as artificial intelligence increasingly democratizes diagnostic imaging for non-specialists. AI algorithms are now embedded directly into handheld devices to guide users through probe placement and image interpretation, effectively lowering the barrier to entry for emergency medicine physicians, nurses, and primary care providers. This trend is evident in the aggressive regulatory activity surrounding these portable solutions. According to Exo, September 2024, in the 'Revolution in Real Time' press release, the company secured FDA clearance for a total of 4 new AI indications in 2024 alone, bringing their total clearances to 9, which underscores the swift commercialization of AI-enhanced POCUS tools.

Simultaneously, a surge in corporate investments is accelerating the integration of deep learning models into established ultrasound platforms. Major medical technology conglomerates are actively acquiring smaller AI-focused software developers to instantly upgrade their legacy systems with automated measurement and recognition capabilities. A notable instance of this consolidation occurred when, according to GE HealthCare, July 2024, in the 'GE HealthCare to Acquire Clinical AI Business from Intelligent Ultrasound' announcement, the company agreed to purchase Intelligent Ultrasound’s clinical AI software business for approximately $51 million. This financial commitment highlights the industry's strategic pivot toward AI-driven workflow efficiency. This broader momentum is further reflected in regulatory trends; according to MedTech Dive, October 2024, the FDA had authorized a cumulative total of 950 AI or machine learning-enabled medical devices as of August 2024, signaling a robust environment for continued market growth.

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Key Market Challenges

The complexity of integrating AI algorithms into legacy hospital information systems acts as a substantial constraint on the growth of the Global AI In Ultrasound Imaging Market. Healthcare infrastructure predominantly relies on established Electronic Health Records and Picture Archiving and Communication Systems, which are frequently incompatible with modern AI applications. This lack of interoperability forces sonographers and radiologists to utilize disjointed workflows, often requiring them to manually transfer data or toggle between separate workstations to access AI-generated insights. Such operational friction negates the efficiency gains promised by automation, thereby reducing the perceived return on investment for medical facilities.

Consequently, the technical inability to establish seamless data exchange creates a hesitancy to adopt these advanced tools. According to the Healthcare Information and Management Systems Society (HIMSS), in 2024, 41% of healthcare organizations cited the integration of new solutions into existing workflows as a significant obstacle to improving interoperability. This statistic underscores the prevalence of the connectivity gap. As long as these technical barriers persist, healthcare providers will remain reluctant to scale AI implementations, directly impeding broader market expansion.

Key Market Trends

The Integration of Edge Computing for Instant On-Device AI Analysis is emerging as a critical trend, driven by the need for immediate clinical decision support without the latency associated with cloud-based processing. Manufacturers are increasingly embedding high-performance computing capabilities directly into ultrasound systems, enabling complex algorithms to function in real-time during the scanning process. This advancements allows for the automated selection of optimal images and instantaneous anatomical quantification, which significantly streamlines clinical workflows. According to Fierce Biotech, August 2025, in the 'Philips rolls out major AI upgrades for cardiac ultrasound platforms' article, the company's newly released Transcend Plus suite integrates 26 separate FDA-cleared AI applications to provide real-time, automated anatomical measures for conditions such as heart failure and valve disease, directly enhancing on-device diagnostic speed.

Simultaneously, the Expansion of Specialized AI Algorithms for OB/GYN and Cardiology is shifting market focus from general image enhancement to the detection of specific, high-complexity pathologies. Developers are moving beyond basic biometry to create deep learning models capable of identifying subtle structural anomalies that are frequently missed during routine screenings. This trend addresses the steep learning curve associated with detailed fetal and cardiac assessments by providing expert-level diagnostic aid to generalist operators. According to the Society for Maternal-Fetal Medicine, January 2025, in the 'New Study Highlights AI's Potential to Help Doctors Detect Congenital Heart Defects' press release, researchers found that the use of specialized AI software improved the detection rates of ultrasound findings suspicious for major congenital heart defects to more than 97%, significantly outperforming standard detection methods.

Segmental Insights

The Software Tools segment is identified as the fastest-growing category within the Global AI in Ultrasound Imaging Market. This accelerated expansion is primarily driven by the rising number of approvals from regulatory bodies such as the US FDA for specific automated detection algorithms. These applications significantly improve clinical workflows by reducing operator variability and automating complex measurements during diagnostic procedures. Additionally, the ability to integrate these analytical solutions into existing infrastructure allows healthcare facilities to upgrade capabilities without incurring heavy capital expenditure on new hardware systems, further fueling adoption rates across the sector.

Regional Insights

North America holds the dominant position in the Global AI In Ultrasound Imaging Market, driven by the early adoption of artificial intelligence in healthcare and robust investment in medical research. The region benefits significantly from a supportive regulatory framework, where the U.S. Food and Drug Administration has granted numerous clearances for AI-integrated diagnostic devices, fostering market confidence. Additionally, the high concentration of key industry players and academic institutions promotes continuous innovation and product development. This established ecosystem enables the seamless integration of automated analysis tools into hospitals, securing North America's leadership status in this sector.

Recent Developments

• In October 2024, GE HealthCare finalized the acquisition of the clinical artificial intelligence software business from Intelligent Ultrasound for approximately $51 million. This strategic transaction aimed to integrate AI-driven image analysis tools, such as ScanNav Assist, into the company’s comprehensive ultrasound portfolio. The technology was designed to streamline clinical workflows by automating repetitive tasks and improving exam consistency for sonographers. By incorporating these advanced AI capabilities, the company intended to enhance the efficiency and usability of its Voluson and other ultrasound systems, addressing the growing demand for smarter diagnostic imaging solutions in the global healthcare market.
• In September 2024, Samsung Medison completed the acquisition of Sonio, a French health technology company specializing in artificial intelligence software for obstetrics and gynecology ultrasound. Following the approval of the Foreign Direct Investment by the French government, the company integrated Sonio’s cloud-based reporting and image quality assessment software into its medical equipment offerings. This collaboration focused on improving prenatal care by utilizing deep learning to automate the detection of fetal ultrasound views and ensure exam quality in real-time. The acquisition represented a significant step in the company’s strategy to deliver AI-enhanced diagnostic workflows for maternal healthcare providers worldwide.
• In September 2024, Butterfly Network expanded the commercial availability of its third-generation handheld ultrasound system, the Butterfly iQ3, to markets across Europe. The device featured advanced semiconductor-based Ultrasound-on-Chip technology and introduced new artificial intelligence capabilities designed to simplify image acquisition for clinicians. Key innovations included automated 3D imaging tools such as iQ Slice and iQ Fan, which allowed for easier visualization of complex anatomy. This launch aimed to provide healthcare professionals in the region with a portable, high-performance diagnostic tool that leveraged digital processing to deliver superior image quality and enhanced clinical decision-making support at the point of care.
• In August 2024, Royal Philips unveiled a new artificial intelligence-enabled cardiovascular ultrasound platform at the European Society of Cardiology Congress. The company introduced automated AI tools integrated into its EPIQ CVx and Affiniti CVx systems, designed to accelerate cardiac assessments and improve diagnostic confidence. The new applications included industry-first capabilities for automated segmental wall motion scoring and fully automated 3D quantification of mitral regurgitation volumes. These innovations addressed the critical need for efficiency in cardiology departments by reducing the time required for complex measurements and enabling clinicians to detect heart valve disease and other cardiac disorders with greater speed and reproducibility.

Key Market Players

• NVIDIA Corporation
• SmartAlpha
• Intel Corporation
• EchoNous, Inc.
• General Vision Inc.
• Lunit Inc.
• Agfa-Gevaert Group
• Butterfly Network, Inc.
• Enlitic, Inc.
• Micron Technology, Inc.

By Solution	By Application	By Technology	By Ultrasound Technology	By End Use	By Region
Software Tools Services Devices	Radiology Cardiovascular Gastroenterology Obstetrics & Gynecology	Machine Learning Natural Language Processing Context- Aware Computing Computer Vision	Diagnostic Imaging Therapeutic 2D or 3D/4D Ultrasound Imaging High Intensity Focused Ultrasound Extracorporeal Shockwave Lithotripsy Doppler Ultrasound	Hospitals Clinics Research Labs & Diagnostic Centers Others	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global AI In Ultrasound Imaging Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• AI In Ultrasound Imaging Market , By Solution:

• Software Tools
• Services
• Devices

• AI In Ultrasound Imaging Market , By Application:

• Radiology
• Cardiovascular
• Gastroenterology
• Obstetrics & Gynecology

• AI In Ultrasound Imaging Market , By Technology:

• Machine Learning
• Natural Language Processing
• Context- Aware Computing
• Computer Vision

• AI In Ultrasound Imaging Market , By Ultrasound Technology:

• Diagnostic Imaging
• Therapeutic
• 2D or 3D/4D Ultrasound Imaging
• High Intensity Focused Ultrasound
• Extracorporeal Shockwave Lithotripsy
• Doppler Ultrasound

• AI In Ultrasound Imaging Market , By End Use:

• Hospitals
• Clinics
• Research Labs & Diagnostic Centers
• Others

• AI In Ultrasound Imaging Market , By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE