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., and others

For illustrative purposes, only the top 10 companies are listed in the Table of Contents. The report may include analysis and references to additional companies, where relevant to the market assessment.

AI in Ultrasound Imaging Market Size

The following snapshot summarizes the principal report metrics for the AI in Ultrasound Imaging market.

All market values are expressed in USD and represent DelveInsight estimates synthesized from primary and secondary research.

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

AI in Ultrasound Imaging 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.
• Accelerating Regulatory Clearances for AI-Enabled Devices: A supportive and maturing regulatory environment is expanding the installed base of AI-enabled ultrasound. The United States Food and Drug Administration has authorized over 1,000 artificial intelligence and machine-learning-enabled medical devices, with radiology and imaging representing the largest category, and has issued guidance on transparency, algorithm change control, and real-world performance monitoring. The European Union's Artificial Intelligence Act establishes a risk-based framework that classifies medical AI as high-risk, creating clearer requirements for market entry. Manufacturers are securing clearances for AI features across cardiovascular, maternal-fetal, and general imaging systems, and reimbursement for AI-enabled echocardiography is beginning to accelerate enterprise adoption. This regulatory momentum reduces uncertainty, validates clinical performance, and supports broad deployment of AI ultrasound across the forecast period.
• Radiologist and Sonographer Shortages and Rising Imaging Workloads: A growing shortage of radiologists and sonographers, combined with escalating imaging workloads, is driving adoption of AI as a productivity and quality tool. Imaging volumes are rising faster than the trained workforce can absorb, contributing to backlogs, burnout, and variability in interpretation. AI addresses this gap by automating repetitive measurements, generating draft documentation, standardizing image acquisition, and flagging abnormalities for review, allowing clinicians to focus on complex decision-making. Automated quantification of cardiac function and standardized obstetric biometry reduce examination time and inter-operator variability. By improving throughput, consistency, and access without proportionally increasing staffing, AI-enabled ultrasound delivers clear operational value to health systems, reinforcing demand across hospitals, imaging centers, and decentralized settings throughout the forecast period.
• Embedded AI across Premium Systems by Leading Manufacturers: Major ultrasound manufacturers are embedding FDA-cleared AI directly into their premium systems, accelerating clinical adoption at scale. GE HealthCare launched the AI-powered Vivid Pioneer cardiovascular system and the Voluson Expert 22 with automated fetal analysis, while Philips released Transcend Plus for its EPIQ CVx and Affiniti CVx cardiovascular systems with FDA-cleared AI enhancements. Samsung introduced the AI-powered Z20 system for women's health, and Butterfly Network launched the Compass AI enterprise workflow platform. By integrating intelligent automation into flagship platforms, OEMs make AI a standard rather than optional capability, driving replacement cycles and new placements. This embedding of AI across the premium installed base, reinforced by acquisitions of specialized algorithm developers, sustains adoption and market growth across the forecast period.
• Recurring Software, Subscription, and Enterprise Workflow Models: The shift toward software-defined, subscription-based, and enterprise workflow models is expanding the commercial value of AI in ultrasound. Software is the largest component of the market and generates recurring revenue through licenses, cloud services, and continuously updated algorithms that improve performance over time. Enterprise platforms manage fleets of devices, standardize documentation, support compliance, and connect point-of-care programs to billing and reporting, as illustrated by enterprise AI workflow launches. Software development kits and app ecosystems allow third parties to release specialty modules on a single device, multiplying clinical applications. These models deepen customer relationships, raise switching costs, and create durable recurring revenue, attracting investment and reinforcing the long-term growth trajectory of AI-enabled ultrasound.
• Foundational Role in Digital Health and Value-Based Care: AI-enabled ultrasound has become foundational infrastructure for digital health and value-based care. Cloud connectivity, telemedicine integration, and remote collaboration allow AI ultrasound to support diagnosis across distributed care networks, including underserved and remote regions. By improving early detection, reducing diagnostic variability, and enabling care closer to the patient, AI ultrasound aligns with the shift toward outcomes-based reimbursement and population health. Partnerships between AI developers, ultrasound manufacturers, and cloud and computing providers are producing scalable, contextual solutions across geographies and income levels. As health systems prioritize efficiency, access, and quality, AI-enabled ultrasound becomes a strategic tool for delivering high-value imaging, reinforcing sustained market expansion through 2034.

AI in Ultrasound Imaging 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 Application

Dominant Subsegment: Radiology. The radiology category is expected to dominate the market.

Dominant:  Radiology ~ 32%

The radiology segment accounted for 32% of the AI in Ultrasound Imaging market in 2025. Radiology is the leading application because general diagnostic imaging spans the broadest range of organs, indications, and examination volumes, and because radiology and imaging represent the largest category of FDA-cleared AI-enabled devices. AI in radiologic ultrasound automates organ measurement, lesion detection and characterization, image optimization, and reporting across abdominal, thyroid, breast, musculoskeletal, and vascular studies, directly addressing rising imaging workloads and workforce shortages. The breadth of radiology applications, combined with high examination volumes in hospitals and imaging centers, gives the segment the largest revenue base. Continued innovation reinforces leadership, including deep-learning image enhancements such as Canon Medical's Aplio i-series software updates and broad AI suites embedded across premium general-imaging platforms. Cardiology follows closely, driven by automated echocardiography, while obstetrics and gynecology, oncology, and emergency and point-of-care applications grow rapidly. The scale, breadth, and regulatory maturity of radiology secure the segment's leadership across the forecast period.

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 Analysis of AI in Ultrasound Imaging Market:

North America Analysis of AI in Ultrasound Imaging Market

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 Analysis of AI in Ultrasound Imaging Market

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 Analysis of AI in Ultrasound Imaging Market

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 Analysis of AI in Ultrasound Imaging Market

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.
• In August 2025, GE HealthCare Technologies Inc. launched the Vivid Pioneer, an ultra-premium AI-powered cardiovascular ultrasound system with up to 360% faster AI performance, receiving CE Mark and FDA 510(k) clearance. Strategic significance: Sets a new benchmark for automated cardiac quantification and defends GE HealthCare's leadership in cardiovascular imaging.
• In March 2025, GE HealthCare Technologies Inc. (with NVIDIA) announced a collaboration to advance autonomous and AI-enabled imaging, including ultrasound, using NVIDIA's Isaac for Healthcare platform. Strategic significance: Pairs a leading imaging OEM with advanced computing to accelerate next-generation AI imaging applications.
• In March 2025, GE HealthCare Technologies Inc. launched the Voluson Expert 22, a premium women's-health ultrasound system with 3D and 4D imaging and automated fetal analysis to support high-risk pregnancy care. Strategic significance: Extends AI-enabled automation into maternal-fetal imaging and strengthens the obstetrics and gynecology franchise.
• In January 2025, Samsung Medison Co., Ltd., launched the Z20, an AI-powered obstetrics and gynecology ultrasound system designed for advanced women's-health applications, in the United States. Strategic significance: Expands Samsung's women's-health portfolio with intelligent automation and ergonomic workflow.
• In 2024, Koninklijke Philips N.V. completed the acquisition of DiA Imaging Analysis, whose LVivo AI cardiac analysis software carries multiple FDA clearances, integrating automated echocardiography quantification across its portfolio. Strategic significance: Embeds proven AI cardiac analysis directly into Philips ultrasound systems and accelerates automated cardiology.
• In July 2024, GE HealthCare Technologies Inc. acquired the Intelligent Ultrasound Group's clinical AI business, adding real-time needle-tracking and scan-guidance technologies to its ultrasound portfolio. Strategic significance: Strengthens AI image guidance and education capabilities and broadens point-of-care support.
• In January 2024, Butterfly Network, Inc., received FDA 510(k) clearance for its iQ+ platform with AI-enabled tools, including liver-fibrosis quantification and other automated measurements. Strategic significance: Expands the clinical menu of a leading handheld ultrasound-on-chip platform and supports decentralized assessment.
• In July 2023, GE HealthCare Technologies Inc. completed the acquisition of Caption Health, whose AI software guides clinicians to acquire diagnostic-quality echocardiograms, democratizing cardiac imaging for novice users. Strategic significance: Adds market-leading AI acquisition guidance and accelerates point-of-care cardiac ultrasound.
• In February 2023, Samsung Medison Co., Ltd. (Boston Imaging) launched the V8 and W10 Elite ultrasound systems with the HERA AI platform for obstetrics and gynecology in the United States. Strategic significance: Brings advanced AI women's-health imaging to the United States market and broadens Samsung's premium portfolio.

In 2023, Exo Imaging, Inc., acquired Medo.ai, adding automated AI interpretation for musculoskeletal, abdominal, and thyroid imaging to its handheld ultrasound-on-chip platform. Strategic significance: Combines low-cost silicon ultrasound with automated AI interpretation to broaden point-of-care access.

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)

AI in Ultrasound Imaging Market Recent Industry Trends and Milestones (2023-2026):

AI in Ultrasound Imaging Market Startup Funding and Investment Trends

Investment in the AI in Ultrasound Imaging ecosystem has concentrated on ultrasound-on-chip semiconductor platforms, AI image guidance, and automated interpretation software. The following companies illustrate recent funding activity and technology focus.

Capital is flowing toward developers that combine low-cost imaging hardware with intelligent software. Exo Imaging has raised USD 320 million and above to commercialize silicon-based ultrasound-on-chip systems with embedded AI, while Butterfly Network leverages its public listing to advance handheld ultrasound-on-chip and the Compass AI enterprise platform. The acquisitions of Caption Health by GE HealthCare and DiA Imaging Analysis by Philips demonstrate strong strategic appetite for AI acquisition-guidance and automated cardiac-analysis software, while Clarius Mobile Health advances portable AI-enabled scanners. Collectively, these investments signal conviction that ultrasound-on-chip, AI image guidance, and automated interpretation will define the next phase of competitive advantage in the global AI in Ultrasound Imaging market.

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.