Artificial Intelligence (AI) in Ultrasound Imaging Market Summary

• The AI in Ultrasound Imaging market is estimated at USD 2.00 billion in 2025 and is projected to reach USD 13.90 billion by 2034. Growth is anchored in the rising global burden of cardiovascular disease and cancer, the democratization of point-of-care ultrasound, and a wave of FDA-cleared AI software that automates measurement and guides image acquisition.

• The global AI in Ultrasound Imaging market is growing at a CAGR of 24.0% during the forecast period from 2026 to 2034.

• By component, the software segment dominated the AI in Ultrasound Imaging market with a 61% share in 2025.

• By technology, the machine learning segment dominated the AI in Ultrasound Imaging market with a 43% share in 2025.

• By application, the radiology segment dominated the AI in Ultrasound Imaging market with a 32% share in 2025.

• By end user, the hospitals segment dominated the AI in Ultrasound Imaging market with a 48% share in 2025.

• North America dominated the global AI in Ultrasound Imaging market revenue with a 44% share in 2025, representing the highest regional market share globally.

Artificial intelligence (AI) in ultrasound imaging refers to the integration of machine learning, deep learning, and computer vision into ultrasound systems and software to enhance image acquisition, interpretation, and diagnostic accuracy. These solutions automate complex measurements, detect anomalies, guide probe positioning, optimize workflow, and provide real-time decision support, reducing operator dependency and improving consistency. The market combines AI-enabled hardware, including cart-based and handheld systems and semiconductor-based probes, with software algorithms and connectivity, cloud, and managed services. Core technologies span machine learning, deep learning, computer vision, and context-aware computing, applied across cardiology, radiology, obstetrics and gynecology, oncology, and emergency and point-of-care settings. Adoption extends across hospitals, diagnostic imaging centers, ambulatory and point-of-care environments, and increasingly the bedside and the field. Over the past decade, ultrasound has expanded from obstetrics into many specialties, and the rise of portable, AI-guided point-of-care ultrasound has democratized access, enabling even novice users to acquire diagnostic-quality images. Accelerating FDA clearances, reimbursement for AI-enabled echocardiography, and partnerships between AI developers and ultrasound manufacturers have positioned AI as the most transformative force in modern ultrasound.

AI in Ultrasound Imaging Market Key Growth Drivers

• The rising global burden of cardiovascular disease and cancer is increasing imaging volumes, with the World Health Organization attributing 17.9 million deaths each year to cardiovascular disease and the International Agency for Research on Cancer projecting cancer cases to rise from 20 million in 2022 to 35 million by 2050.

• The democratization of point-of-care ultrasound, supported by AI image guidance, is extending diagnostic imaging into emergency, critical care, primary care, and remote settings.

• Accelerating regulatory clearances are expanding the installed base, with the FDA having authorized over 1,000 AI and machine-learning-enabled medical devices, the majority in radiology and imaging.

• A growing shortage of radiologists and sonographers, combined with rising imaging workloads, is driving adoption of AI that automates measurement, documentation, and workflow.

• Major manufacturers are embedding FDA-cleared AI across premium systems, including cardiovascular and maternal-fetal platforms, reinforcing clinical adoption.

• Recurring-revenue software and subscription models, cloud connectivity, and enterprise workflow platforms are expanding the commercial value of AI-enabled ultrasound.

• The convergence of disease burden, point-of-care expansion, regulatory support, and workforce pressure is expected to sustain rapid growth in the market through 2034.

Key Companies in AI in Ultrasound Imaging Market

The competitive landscape is led by the following active manufacturers and developers:

• GE HealthCare Technologies Inc.

• Koninklijke Philips N.V.

• Siemens Healthineers AG

• Canon Medical Systems Corporation

• Samsung Medison Co., Ltd.

• FUJIFILM Holdings Corporation

• Butterfly Network, Inc.

• Mindray Medical International Limited

• Exo Imaging, Inc.

• Clarius Mobile Health Corp.

Factors Contributing to the Growth of the AI in Ultrasound Imaging Market

Market Drivers

Rising Global Burden of Cardiovascular Disease, Cancer, and Chronic Conditions

The most powerful driver of the AI in Ultrasound Imaging market is the rising global burden of chronic disease, which is increasing the volume and complexity of ultrasound examinations. The World Health Organization attributes 17.9 million deaths each year to cardiovascular disease, the leading cause of death globally, driving demand for echocardiography and vascular imaging where AI automates ejection-fraction measurement and strain analysis. The International Agency for Research on Cancer recorded 20 million new cancer cases in 2022 and projects 35 million by 2050, expanding oncology imaging and surveillance. Aging populations compound this trend, with the United States Centers for Disease Control and Prevention projecting the population aged 65 and over to reach 80.9 million by 2040. As disease burden and imaging volumes rise, AI that improves diagnostic accuracy, automates measurement, and accelerates interpretation becomes essential to managing demand, directly expanding the market through 2034.

Democratization of Point-of-Care Ultrasound through AI Guidance

The rapid expansion of point-of-care ultrasound is a central growth engine, and AI is what makes it scalable. Handheld and semiconductor-based ultrasound devices have moved imaging out of dedicated rooms into emergency departments, intensive care units, primary care, ambulances, and rural clinics. AI image guidance assists with probe positioning, image quality assessment, and anatomical landmark identification, enabling even novice users to acquire diagnostic-quality scans and interpret them with confidence. This addresses the historic barrier of operator dependency that limited ultrasound to trained sonographers and specialists. As AI-guided point-of-care ultrasound broadens access across care settings and geographies, it opens large new user populations and revenue opportunities, accelerating adoption and expanding the addressable market across the forecast period.

Market Restraints

Despite strong momentum, the AI in Ultrasound Imaging market faces material constraints. Data privacy and security concerns are significant, as AI systems require large volumes of sensitive patient imaging data for training and operation, raising governance, consent, and cybersecurity challenges that can slow adoption. Regulatory and clinical-validation requirements add complexity, as AI-assisted diagnostic tools must demonstrate clear clinical benefit and navigate evolving FDA, European AI Act, and national frameworks, lengthening time to market and requiring continuous post-market monitoring of algorithm performance. High initial costs of transitioning existing ultrasound fleets to AI-enabled systems are a barrier for budget-constrained public hospitals and lower-resource settings, where capital and reimbursement are limited. Interoperability issues between imaging devices and AI platforms, along with a shortage of skilled staff able to operate and maintain AI systems, impede wider deployment in some regions. Clinician trust remains a gating factor, as concerns about algorithmic bias, generalizability across diverse populations, and accountability for AI-influenced decisions require transparency and robust validation. Reimbursement for AI-enabled imaging remains uneven across geographies and indications, constraining the return on investment. Finally, the market depends on continued partnerships between AI developers and ultrasound manufacturers to deliver scalable, contextual solutions, and integration failures or fragmentation can limit value. Together, these privacy, regulatory, cost, interoperability, workforce, and trust barriers temper the pace of growth, even as the underlying drivers of disease burden, point-of-care expansion, and workforce pressure remain firmly intact.

AI in Ultrasound Imaging Market Segment Analysis

The AI in Ultrasound Imaging Market by Component (Software, Hardware, Services), Technology (Machine Learning, Deep Learning, Computer Vision, Context-Aware Computing, Natural Language Processing, Others), Application (Radiology, Cardiology, Obstetrics and Gynecology, Oncology, Emergency and Point-of-Care, Others), End User (Hospitals, Diagnostic Imaging Centers, Ambulatory and Point-of-Care Settings, Specialty Clinics, Research and Academic Institutes, Others), and Geography (North America, Europe, Asia-Pacific, Rest of World).

By Component

Dominant Subsegment: Software. The software category is expected to dominate the market.

Dominant:  Software ~ 61%

The software segment accounted for 61% of the AI in Ultrasound Imaging market in 2025. Software is the leading component because the intelligence in AI ultrasound lives in algorithms that automate measurement, guide acquisition, detect anomalies, and standardize reporting, and because software generates recurring revenue through licenses, subscriptions, and cloud services. The majority of FDA-cleared AI features in ultrasound are software, spanning automated ejection-fraction quantification, strain analysis, fetal biometry, and image-quality enhancement, and these can be deployed across new and existing hardware. Manufacturers increasingly ship AI software embedded in premium systems, exemplified by Philips Transcend Plus for its EPIQ CVx and Affiniti CVx platforms with FDA-cleared AI applications, and by GE HealthCare's Vivid Pioneer with up to 360% faster AI performance. Enterprise workflow platforms and software development kits that host third-party specialty modules deepen the software tier further. Because algorithms improve over time and scale across the installed base without new hardware, software commands the largest and most durable share, while hardware provides the imaging platform and services support deployment, training, and managed operations.

By Technology

Dominant Subsegment: Machine Learning. The machine learning category is expected to dominate the market.

Dominant:  Machine Learning ~ 43%

The machine learning segment accounted for 43% of the AI in Ultrasound Imaging market in 2025. Machine learning is the leading technology because it underpins the majority of deployed AI ultrasound applications, from automated measurement and anomaly detection to image optimization and workflow prediction. Trained on large annotated imaging datasets, machine-learning models deliver the pattern-recognition and quantification capabilities that clinicians rely on for ejection fraction, strain, and obstetric biometry, and they form the foundation on which deep learning, a specialized subset, extends performance for complex image interpretation. Its dominance reflects maturity, regulatory familiarity, and broad integration across cardiovascular, maternal-fetal, and general imaging systems from GE HealthCare, Philips, Samsung Medison, and Canon Medical. Adjacent technologies are advancing quickly: deep learning is expanding rapidly for image reconstruction and detection, computer vision powers real-time guidance and probe positioning, and context-aware computing and natural language processing support intelligent workflow and reporting. While deep learning grows fastest from a smaller base, machine learning retains leadership in 2025 through its breadth of validated, deployed applications across the installed base.

By End User

Dominant Subsegment: Hospitals. The hospitals category is expected to dominate the market.

Dominant:  Hospitals ~ 48%

The hospitals segment accounted for 48% of the AI in Ultrasound Imaging market in 2025. Hospitals are the largest end user because they perform the highest volume of ultrasound examinations across cardiology, radiology, obstetrics, oncology, and emergency care, and because they have the budgets, infrastructure, and clinical breadth to adopt premium AI-enabled systems and enterprise software. Hospitals anchor the installed base for high-end cardiovascular and general-imaging platforms from GE HealthCare, Philips, Siemens Healthineers, Canon Medical, and Samsung Medison, where embedded AI improves throughput, standardization, and diagnostic confidence under heavy workloads. Hospital adoption is reinforced by reimbursement for AI-enabled echocardiography, antimicrobial and quality programs, and the need to manage radiologist and sonographer shortages. At the same time, diagnostic imaging centers sustain large volumes, and ambulatory and point-of-care settings, specialty clinics, and research and academic institutes are growing quickly as portable, AI-guided ultrasound democratizes access beyond the hospital. While point-of-care settings are the fastest-expanding cohort, hospitals retain clear leadership in 2025 on the strength of volume, acuity, and infrastructure.

AI in Ultrasound Imaging Market Region Analysis

Dominant Region: North America

North America accounted for 44% of the global AI in Ultrasound Imaging market revenue in 2025, representing the highest regional market share globally. The region's dominance reflects the concentration of leading ultrasound and AI developers, advanced healthcare infrastructure, early adoption of point-of-care ultrasound, and the most active regulatory and reimbursement environment, particularly in the United States. The FDA has authorized over 1,000 AI and machine-learning-enabled medical devices, with radiology and imaging the largest category, and reimbursement for AI-enabled echocardiography is accelerating enterprise adoption. Market-size influence is amplified by high imaging volumes, a heavy cardiovascular and cancer burden, and strong private and public investment in health AI. Leading manufacturers and innovators, including GE HealthCare, Butterfly Network, and Exo Imaging, are headquartered or heavily active in the region, and a wave of 2025 product launches and clearances, from GE HealthCare's Vivid Pioneer to Philips Transcend Plus, has expanded the installed base. A deep developer base, supportive regulation, and strong reimbursement anchor the region's continued leadership.

Dominant:  North America ~ 44% (Largest)

Fastest Growing Region: Asia-Pacific

Asia-Pacific is the fastest-growing region in the AI in Ultrasound Imaging market. The region's elevated CAGR is driven by a large and aging population, rising cardiovascular and cancer burden, expanding healthcare access, and rapid adoption of affordable AI-enabled and point-of-care ultrasound across China, India, Japan, South Korea, and Australia. Strong regional manufacturers, including Samsung Medison, Mindray, FUJIFILM, and Canon Medical, are scaling AI-enabled systems and exporting globally, while government healthcare investment and digital-health initiatives accelerate deployment. The high prevalence of underserved and rural populations makes AI-guided point-of-care ultrasound especially valuable for extending diagnostic access, and growing local innovation and manufacturing lowers costs. Rising demand across hospitals, imaging centers, and decentralized settings positions Asia-Pacific as the principal source of incremental growth over the forecast period.

Regional Commentary

North America

North America accounted for 44% of the global AI in Ultrasound Imaging market revenue in 2025. The United States dominates on the strength of its developer base, early point-of-care ultrasound adoption, FDA pathways that have cleared over 1,000 AI-enabled devices, and emerging reimbursement for AI-enabled echocardiography, while Canada contributes through hospital adoption and provincial imaging programs.

Europe

Europe is a large and advanced regional market, led by Germany, the United Kingdom, France, Italy, and Spain. Growth is supported by strong healthcare systems, established imaging infrastructure, and the European Union Artificial Intelligence Act, which classifies medical AI as high-risk and is shaping clearer requirements for clinical AI. A strong base of manufacturers, including Philips, Siemens Healthineers, and Canon Medical, reinforces the region's position.

Asia-Pacific

Asia-Pacific is the fastest-growing region, propelled by a large aging population, rising disease burden, expanding healthcare access, and rapid adoption of affordable AI-enabled and point-of-care ultrasound across China, India, Japan, South Korea, and Australia. Regional leaders such as Samsung Medison, Mindray, FUJIFILM, and Canon Medical scale innovation and broaden access in both urban and rural settings.

Rest of World

The Rest of World region, spanning Latin America, the Middle East, and Africa, is an emerging growth frontier. A high burden of cardiovascular disease, cancer, and maternal health needs, combined with limited specialist availability, makes AI-guided point-of-care ultrasound especially valuable, and international health programs, telemedicine, and partnerships are expanding access to AI-enabled imaging across these markets.

AI in Ultrasound Imaging Market Competitive Landscape

The AI in Ultrasound Imaging market is classified as Moderately Concentrated. A group of global ultrasound manufacturers leads through embedded AI on premium systems, with GE HealthCare, Philips, Siemens Healthineers, Canon Medical, Samsung Medison, and FUJIFILM holding the majority of platform revenue. A dynamic field of point-of-care and software innovators, including Butterfly Network, Exo Imaging, Clarius Mobile Health, and specialized algorithm developers, competes in handheld, semiconductor-based, and AI-software segments, increasing competition and fragmentation in the fastest-growing tiers.

The competitive landscape can be evaluated across the following dimensions:

• Market concentration: Moderately concentrated, with established imaging OEMs leading premium systems alongside a fast-growing field of point-of-care and software challengers.

• Leading players: GE HealthCare, Philips, Siemens Healthineers, Canon Medical, Samsung Medison, and FUJIFILM anchor the top tier.

• Geographic reach: Leaders operate global commercial and service networks, with point-of-care innovators expanding rapidly across North America, Europe, and Asia-Pacific.

• Product portfolio strength: Top players hold integrated portfolios spanning cart-based and handheld systems, embedded AI, and enterprise workflow software.

• Pipeline strength: Active pipelines in automated cardiac quantification, AI image guidance, semiconductor-on-chip probes, and expanded clinical applications.

• Strategic partnerships: Collaborations between AI developers, ultrasound OEMs, and computing providers, such as GE HealthCare's work with NVIDIA, extend capability.

• M&A activity: Consolidation continues, including GE HealthCare's acquisitions of Caption Health and Intelligent Ultrasound and Philips' acquisition of DiA Imaging Analysis.

• Manufacturing capabilities: Scale manufacturing of systems and semiconductor-based probes is a key competitive moat, particularly for handheld and on-chip platforms.

• Innovation focus: AI image guidance, automated ejection-fraction and strain analysis, fetal biometry, ultrasound-on-chip, and cloud-enabled enterprise workflow.

AI in Ultrasound Imaging Market Recent Developmental Activities

In November 2025, Butterfly Network, Inc., launched Compass AI, an enterprise point-of-care ultrasound workflow platform that integrates AI-enabled image capture, documentation, and reporting across handheld devices. Strategic significance: Strengthens enterprise adoption of point-of-care ultrasound and deepens Butterfly's software and recurring-revenue position.

In August 2025, Koninklijke Philips N.V. launched Transcend Plus for its EPIQ CVx and Affiniti CVx cardiovascular ultrasound systems, featuring FDA-cleared 2D and 3D image-quality enhancements and a suite of AI-enabled clinical applications. Strategic significance: Reinforces premium AI integration in cardiovascular ultrasound and extends the life of the installed base.

AI in Ultrasound Imaging Market Segmentation

AI in Ultrasound Imaging Market by Component

• Software

• Hardware

• Services

AI in Ultrasound Imaging Market by Technology

• Machine Learning

• Deep Learning

• Computer Vision

• Context-Aware Computing

• Natural Language Processing

• Others

AI in Ultrasound Imaging Market by Application

• Radiology

• Cardiology

• Obstetrics and Gynecology

• Oncology

• Emergency and Point-of-Care

• Others

AI in Ultrasound Imaging Market by End User

• Hospitals

• Diagnostic Imaging Centers

• Ambulatory and Point-of-Care Settings

• Specialty Clinics

• Research and Academic Institutes

• Others

AI in Ultrasound Imaging Market by Geography

• North America AI in Ultrasound Imaging Market

▪ United States AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Canada AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Mexico AI in Ultrasound Imaging Market Size in USD million (2023-2034)

• Europe AI in Ultrasound Imaging Market

▪ Germany AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ United Kingdom AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ France AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Italy AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Spain AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Rest of Europe AI in Ultrasound Imaging Market Size in USD million (2023-2034)

• Asia-Pacific AI in Ultrasound Imaging Market

▪ China AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Japan AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ India AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Australia AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ South Korea AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Rest of Asia-Pacific AI in Ultrasound Imaging Market Size in USD million (2023-2034)

• Rest of the World (RoW) AI in Ultrasound Imaging Market

▪ Middle East AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ Africa AI in Ultrasound Imaging Market Size in USD million (2023-2034)

▪ South America AI in Ultrasound Imaging Market Size in USD million (2023-2034)

Key Takeaways from the AI in Ultrasound Imaging Market Report Study

• Market size analysis for the current AI in ultrasound imaging market size (2025), and market forecast for 9 years (2026 to 2034).

• Top key product/technology developments, mergers, acquisitions, partnerships, and joint ventures that happened over the last 3 years.

• Key companies dominating the global AI in ultrasound imaging market.

• Various opportunities available for competitors in the AI in ultrasound imaging market space.

• What are the top-performing segments in 2025? How will these segments perform in 2034?

• Which are the top-performing regions and countries in the current AI in ultrasound imaging market scenario?

• Which are the regions and countries where companies should concentrate their opportunities for AI in ultrasound imaging market growth in the future?

Target audience who can benefit from this AI in ultrasound imaging market report study

• AI in Ultrasound Imaging product providers

• Research organizations and consulting companies

• AI in Ultrasound Imaging-related organizations, associations, forums, and other alliances

• Government and corporate offices

• Start-up companies, venture capitalists, and private equity firms

• Distributors and traders dealing in AI in ultrasound imaging

• Various end-users who want to know more about the AI in ultrasound imaging market and the latest technological developments in the AI in ultrasound imaging market.