Top AI in Ultrasound Imaging Companies Driving Intelligent Diagnostic Innovation

Revolution of AI integration in ultrasound imaging dates back to the late 1970s, when researchers at different institutions experimented with primary pattern recognition. This marked ultrasound's transition from interpretation to systematic analysis. Currently, edge AI helps in processing images on portable units for instant feedback in emergency settings. Moreover, handheld scanners currently incorporate beamforming chips matching cart-based systems. Organizations also collaborate with clinicians to validate the use of these solutions across diverse regions. AI in ultrasound imaging has grown from a primary development to a crucial diagnostic component, empowering healthcare providers globally. Firms are also adopting ethical standards, ensuring reasonable access and precision diagnostics, elevating patient outcomes.

Fortune Business Insights reported that the industry for AI in ultrasound imaging is noticing a substantial growth with a CAGR of 26.61% and is expected to reach a revenue share of USD 3.43 billion in 2026 to USD 22.62 billion by 2034.

List of Top 10 AI in Ultrasound Imaging Companies Reported by Fortune Business Insights:

1. GE HealthCare Technologies Inc.

GE HealthCare Technologies Inc. is a well-known brand providing AI in ultrasound imaging systems that improve scan guidance, workflow productivity, and clinical decision support. Headquartered in the U.S., its Voluson Expert Series and LOGIQ platforms use automation tools to speed assessments and strengthen image consistency. In January 2025, the company received FDA clearance for updated Voluson Expert systems, adding AI features for women’s health imaging. GE HealthCare continues to widen intelligent ultrasound tools for obstetrics, general imaging, and point-of-care use across demanding clinical settings. In February 2026, the company expanded its BARDA collaboration with around USD 35.0 million to improve AI powered ultrasound.

2. Koninklijke Philips N.V.

Koninklijke Philips N.V., headquartered in the Netherlands, advances in AI in ultrasound imaging through platforms that automate measurements, support cardiac assessment, and extend access to clinical care. Its Lumify handheld ultrasound and EPIQ CVx systems incorporate AI features from Philips DiA Imaging Analysis. In November 2023, Philips secured further funding to expand AI algorithms for Lumify and in June 2024 it launched next-generation AI-enabled cardiovascular ultrasound tools. These developments strengthened the workflow efficiency, consistency, and broader diagnostic access.

3. Siemens Healthineers AG

Siemens Healthineers AG, headquartered in Germany, is known for integrating AI in ultrasound imaging that improves image interpretation and clinical workflow. Its Acuson Sequoia platform includes AI Abdomen programs that recognize organs, label anatomy, and automate measurements during scans. In December 2024, Siemens Healthineers introduced these abdomen AI tools, reporting major reductions in manual scanning steps. Later next year, in July 2025, it announced its collaboration with DeepHealth to create AI-powered SmartTechnology for ultrasound, further extending its practical AI strategy in diagnostic imaging.

4. Samsung Healthcare

Headquartered in South Korea, Samsung Healthcare, one of the top 10 AI in ultrasound imaging companies, develops ultrasound systems that use intelligent automation to support faster, more consistent imaging. Its ultrasound portfolio includes AI-assisted measurement and workflow features designed for obstetrics, women’s health, and general diagnostics. Samsung has continued expanding its digital imaging capabilities and refining software-driven tools for clinical efficiency. The company’s ultrasound offering focuses on reducing operator burden, improving reproducibility, and helping hospitals manage growing imaging demand with dependable performance and clearer results.

5. Canon Medical Systems Corporation

Canon Medical Systems Corporation, headquartered in Japan, develops ultrasound systems with advanced imaging software that supports assisted diagnosis and workflow efficiency. Its Aplio series includes automated measurement and image optimization functions suited to abdominal, cardiovascular, and obstetric use. In recent years, Canon Medical has continued refining intelligent imaging support across its diagnostic portfolio while expanding clinical software capabilities. The company’s ultrasound offering emphasizes image clarity, usability, and consistent operation, helping clinicians manage complex examinations with greater speed and confidence.

6. FUJIFILM Corporation

FUJIFILM Corporation offers AI ultrasound imaging through diagnostic systems that combine image processing, clinical support, and digital workflow tools. Its ultrasound portfolio includes AI-enabled functions that assist with measurement, image optimization, and examination efficiency across multiple clinical uses. Headquartered in Japan, Fujifilm has continued strengthening its medical imaging business through broader software integration and product refinement. The company’s approach centers on practical automation, dependable image quality, and easier clinical operation in busy healthcare environments.

7. Shenzhen Mindray Bio-Medical Electronics Co., Ltd.

Shenzhen Mindray Bio-Medical Electronics Co., Ltd., headquartered in China, advances in AI in ultrasound imaging and helps healthcare centers to improve image acquisition, measurement, and diagnostic consistency. Its Resona and M-series platforms include intelligent workflow tools, automated analysis, and clinical decision support for obstetrics, cardiology, and general imaging. Mindray continued expanding software-driven imaging features and global ultrasound reach. The company’s ultrasound offering combines portability, usability, and AI support, helping clinicians handle complex cases with greater speed and reliability.

8. Butterfly Network, Inc.

Butterfly Network, Inc., one of the top 10 AI in ultrasound imaging companies, headquartered in the U.S., has reshaped ultrasound imaging with its handheld, AI-enabled Butterfly iQ platform. The system uses semiconductor-based technology and software guidance to support point-of-care scanning, image interpretation, and training. In February 2024, Butterfly expanded its capabilities through new AI-driven workflow features, while continued software updates in 2025 strengthened ease of use. The company’s ultrasound solution targets emergency care, remote settings, and general practice, where fast imaging access and guided operation are especially important.

9. EchoNous, Inc.

EchoNous, Inc., headquartered in the U.S., focuses on implementing AI in ultrasound imaging to simplify scanning and improve clinical consistency. Its Kosmos platform combines imaging, coaching, and interpretation support for cardiac, lung, and abdominal use. EchoNous has continued refining its ultrasound software and expanding clinical applications through product updates and channel growth. The company’s AI ultrasound offering is designed for fast deployment, practical bedside use, and better support for clinicians who need dependable imaging in time-sensitive settings. In February 2026, the company announced its expansion of Kosmos platform with addition of OB/GYN and vascular tools.

10. Exo Imaging, Inc.

Headquartered in the U.S., Exo Imaging, Inc. develops AI-enhanced ultrasound systems that combine hardware innovation with software automation. Its Exo Iris platform is built to support high-quality imaging, guided workflows, and easier operation across point-of-care and specialty settings. The company has continued advancing its imaging software and clinical collaboration efforts, while earlier strategic funding supported product growth. Exo’s ultrasound approach emphasizes handheld accessibility, real-time assistance, and stronger diagnostic confidence for clinicians working in fast-moving care environments.

Growing Demand for Advanced Technology and Regulatory Support Will Reinforce the AI in Ultrasound Industry

AI in ultrasound imaging will aid in delivering real-time image optimization as deep learning algorithms eliminate operator dependency across point-of-care applications. Workflow effectiveness through voice-controlled solutions will eliminate examination times across emergency departments and cloud-based training platforms will update models including different patient cases. Additionally, other advanced technology including deep learning algorithms helps in addressing the limitations of ultrasound including acoustic shadowing and operator dependency. Different sectors including cardiovascular and gynecology primarily require these systems as automating complex anatomical measurements helps in reducing examination timing. Moreover, regulatory support for fully autonomous ultrasound imaging will enhance patient outcome, positioning intelligent imaging as standard diagnostic infrastructure worldwide.