Artificial Intelligence (AI) in Ultrasound Imaging Market Size, Share, Growth, and Industry Analysis, By Types (Software tools, Services, Devices, ), By Applications (Radiology, Cardiovascular, Gastroenterology, Obstetrics and Gynecology, ) , and Regional Insights and Forecast to 2035

Artificial Intelligence (AI) in Ultrasound Imaging Market Size

Global Artificial Intelligence (AI) in Ultrasound Imaging Market size was valued at USD 1.05 billion in 2025 and is projected to reach USD 1.14 billion in 2026 and USD 1.24 billion in 2027, further expanding to USD 2.36 billion by 2035. The market is expected to exhibit a CAGR of 8.38% during the forecast period from 2026 to 2035. Increasing use of automated diagnostic imaging systems, AI-assisted workflow management, and portable ultrasound devices is supporting market growth. More than 63% of healthcare facilities are adopting AI-enabled imaging systems to improve scan accuracy and reduce reporting time. Around 58% of radiologists reported better imaging efficiency through artificial intelligence integration in ultrasound diagnostics.

The US Artificial Intelligence (AI) in Ultrasound Imaging Market is witnessing strong growth because of rising healthcare digitization and increasing adoption of smart diagnostic imaging systems. More than 67% of hospitals across the United States are using AI-assisted imaging tools to improve patient diagnosis and workflow efficiency. Around 52% of healthcare providers are investing in portable ultrasound systems with artificial intelligence features for emergency and remote healthcare services. AI-supported radiology applications improved imaging speed by nearly 44%, while automated cardiovascular imaging adoption increased by approximately 39%. Rising demand for cloud-connected imaging systems and advanced healthcare technologies continues to strengthen market expansion across the country.

Key Findings

• Market Size: Global market reached USD 1.05 billion in 2025, USD 1.14 billion in 2026, and USD 2.36 billion by 2035 at 8.38% growth.
• Growth Drivers: More than 63% hospitals adopted AI imaging systems, while 49% healthcare facilities improved workflow efficiency through automated ultrasound technologies.
• Trends: Around 58% radiologists prefer AI-assisted diagnostics, while 46% healthcare providers increased portable ultrasound imaging technology adoption globally.
• Key Players: NVIDIA Corporation, Intel Corporation, GENERAL ELECTRIC COMPANY, Siemens Healthcare Private Limited, SAMSUNG & more.
• Regional Insights: North America held 38% share, Europe 27%, Asia-Pacific 25%, and Middle East & Africa 10% with rising AI imaging adoption.
• Challenges: Nearly 41% healthcare providers faced system integration issues, while 36% imaging centers reported shortage of skilled AI imaging professionals globally.
• Industry Impact: About 54% hospitals improved diagnostic accuracy, while 43% imaging centers reduced reporting delays through AI-supported ultrasound systems.
• Recent Developments: Nearly 47% manufacturers launched portable AI ultrasound devices, while 39% companies upgraded cloud-connected imaging and automated diagnostic platforms.

Artificial Intelligence (AI) in Ultrasound Imaging Market is transforming diagnostic healthcare through advanced automation, image segmentation, and real-time analytics. More than 56% of healthcare providers are focusing on AI-assisted imaging systems for improved patient diagnosis and workflow optimization. Portable ultrasound adoption increased by nearly 48% due to rising demand for point-of-care diagnostics and emergency healthcare services. Around 44% of healthcare facilities integrated cloud-based imaging platforms for faster report management and remote diagnostics. AI-enabled obstetrics and cardiovascular imaging applications are also gaining strong demand because of better image quality and reduced diagnostic errors.

Artificial Intelligence (AI) in Ultrasound Imaging Market Trends

The Artificial Intelligence (AI) in Ultrasound Imaging Market is growing rapidly due to the rising use of smart imaging systems in hospitals, diagnostic centers, and specialty clinics. More than 68% of healthcare providers are now focusing on AI-supported ultrasound imaging solutions to improve scan accuracy and reduce human error. Around 57% of radiologists prefer AI-powered ultrasound systems because these tools help in faster image interpretation and automated workflow management. Nearly 61% of healthcare institutions reported improved patient screening efficiency after integrating artificial intelligence into ultrasound imaging processes.

The demand for portable and handheld ultrasound devices with AI integration has increased by over 49%, especially in emergency care and point-of-care diagnostics. More than 52% of healthcare professionals believe AI-based ultrasound imaging reduces diagnosis time significantly. In cardiac imaging applications, AI-assisted ultrasound adoption crossed 46% due to better detection of heart abnormalities. Similarly, obstetrics and gynecology applications account for over 39% of AI ultrasound usage because of improved fetal monitoring and imaging precision.

Cloud-based imaging platforms are also supporting the Artificial Intelligence (AI) in Ultrasound Imaging Market expansion, with nearly 44% of diagnostic facilities shifting toward connected imaging systems. Around 58% of patients prefer healthcare centers using advanced imaging technologies due to faster report delivery and reduced waiting periods. AI-enabled automation in image segmentation and real-time analytics has improved workflow efficiency by nearly 47%. In addition, over 54% of medical device manufacturers are investing in AI ultrasound software upgrades to strengthen imaging quality and clinical decision-making capabilities.

Artificial Intelligence (AI) in Ultrasound Imaging Market Dynamics

OPPORTUNITY

"Expansion of AI-Based Point-of-Care Ultrasound Systems"

The increasing use of portable healthcare devices is creating major opportunities in the Artificial Intelligence (AI) in Ultrasound Imaging Market. More than 48% of healthcare facilities are adopting point-of-care ultrasound systems with AI features for emergency diagnosis and remote patient monitoring. Around 43% of physicians reported improved clinical workflow after using AI-powered handheld ultrasound devices. Rural healthcare adoption increased by nearly 37% due to easier imaging access and reduced dependence on large diagnostic systems. In addition, almost 51% of medical professionals prefer automated imaging analysis tools because they lower manual workload and improve scanning consistency across healthcare environments.

DRIVERS

"Rising Demand for Faster and Accurate Diagnostic Imaging"

The growing need for quick and precise disease diagnosis is a key driver for the Artificial Intelligence (AI) in Ultrasound Imaging Market. More than 64% of diagnostic centers are using AI-supported imaging systems to improve reporting speed and reduce scanning errors. Around 59% of healthcare professionals believe AI-based ultrasound tools improve diagnostic confidence in complex cases. Automated image recognition technology has improved workflow efficiency by nearly 45%, while scan repeat rates declined by over 33% after AI integration. In cardiovascular imaging, AI-supported ultrasound usage increased by approximately 41% because of better image quality and real-time analysis capabilities.

RESTRAINTS

"Limited Skilled Workforce for AI Imaging Systems"

The shortage of trained professionals capable of operating AI-supported imaging systems remains a major restraint in the Artificial Intelligence (AI) in Ultrasound Imaging Market. Nearly 42% of healthcare facilities reported difficulties in managing advanced AI imaging software due to lack of technical expertise. Around 38% of radiology staff require additional training to effectively use AI-powered ultrasound systems. Smaller healthcare centers face operational challenges, with over 31% delaying AI integration because of limited workforce readiness. In addition, approximately 36% of healthcare administrators identified system training costs and workflow adaptation issues as barriers to broader market adoption.

CHALLENGE

"Data Privacy and Integration Complexity in Healthcare Systems"

Data management and system integration continue to create challenges for the Artificial Intelligence (AI) in Ultrasound Imaging Market. More than 47% of healthcare organizations are concerned about patient data security while using AI-based cloud imaging platforms. Around 41% of hospitals reported compatibility issues between AI ultrasound software and existing hospital information systems. Nearly 35% of diagnostic providers experienced delays during AI deployment due to complex integration procedures. Cybersecurity concerns also increased, with approximately 39% of healthcare institutions strengthening digital protection systems to secure imaging data and prevent unauthorized access to patient records.

Segmentation Analysis

The Artificial Intelligence (AI) in Ultrasound Imaging Market is segmented by type and application, with strong demand coming from advanced diagnostic imaging systems and automated healthcare solutions. The global Artificial Intelligence (AI) in Ultrasound Imaging Market size was USD 1.05 Billion in 2025 and is projected to reach USD 1.14 Billion in 2026 and USD 2.36 Billion by 2035, growing at a CAGR of 8.38% during the forecast period. Increasing adoption of AI-supported imaging platforms, portable ultrasound devices, and automated image analysis tools is supporting market expansion. More than 63% of healthcare providers are shifting toward AI-assisted imaging technologies for better workflow management and faster diagnosis. Around 58% of hospitals are investing in cloud-connected ultrasound systems with artificial intelligence integration. The software tools segment holds a strong share because of automated image processing demand, while cardiovascular and radiology applications continue to generate high adoption across healthcare institutions.

By Type

Software Tools

Software tools account for a major share in the Artificial Intelligence (AI) in Ultrasound Imaging Market due to rising demand for automated image recognition and real-time analytics. More than 61% of imaging centers are using AI software for workflow automation and scan interpretation support. Around 54% of radiologists reported improved reporting speed after using AI-based software platforms. These tools also help reduce diagnostic errors by nearly 39% and improve image quality assessment by over 44%.

Software Tools held the largest share in the Artificial Intelligence (AI) in Ultrasound Imaging Market, accounting for USD 0.43 Billion in 2025, representing 41% of the total market. This segment is expected to grow at a CAGR of 8.9% from 2025 to 2035, driven by rising automation, cloud imaging demand, and faster diagnostic workflows.

Services

The services segment is growing steadily due to increasing installation, maintenance, and AI integration support across hospitals and diagnostic facilities. More than 46% of healthcare providers require external AI imaging support services for system upgrades and software optimization. Around 37% of hospitals prefer managed AI imaging services to reduce operational complexity. Training services for AI ultrasound systems also increased by nearly 33% because of rising demand for skilled imaging professionals.

Services accounted for USD 0.29 Billion in 2025, representing 28% of the total market share. This segment is projected to grow at a CAGR of 7.8% during the forecast period due to increasing AI implementation support and imaging software maintenance requirements.

Devices

AI-powered ultrasound imaging devices are experiencing strong demand due to the rising popularity of portable and handheld diagnostic systems. Nearly 49% of emergency care units now prefer smart ultrasound devices with AI-enabled scanning features. Around 42% of healthcare facilities reported improved patient examination efficiency through AI-supported imaging hardware. Device manufacturers are also focusing on compact imaging systems with automated scanning support and wireless connectivity features.

Devices represented USD 0.33 Billion in 2025, accounting for 31% of the total Artificial Intelligence (AI) in Ultrasound Imaging Market share. The segment is expected to expand at a CAGR of 8.1% from 2025 to 2035, supported by rising demand for portable imaging and smart healthcare devices.

By Application

Radiology

Radiology remains one of the leading applications in the Artificial Intelligence (AI) in Ultrasound Imaging Market due to increasing demand for fast and accurate diagnostic imaging. More than 64% of imaging facilities use AI-powered ultrasound systems for radiology-based screening and image analysis. Around 51% of healthcare professionals believe AI-assisted radiology improves diagnostic precision and reduces reporting delays. Automated imaging algorithms also improved workflow efficiency by nearly 43% in radiology departments.

Radiology accounted for USD 0.34 Billion in 2025, representing 32% of the total market share. This application segment is expected to grow at a CAGR of 8.6% during the forecast period due to increased imaging demand and AI-assisted diagnostic efficiency.

Cardiovascular

The cardiovascular segment is witnessing rising adoption because AI-supported ultrasound systems improve heart imaging and disease detection accuracy. More than 47% of cardiology departments are using AI-integrated ultrasound platforms for real-time heart monitoring and automated analysis. Around 44% of healthcare professionals reported improved patient diagnosis through AI-enhanced cardiovascular imaging systems. The use of AI also reduced image interpretation time by nearly 36%.

Cardiovascular applications represented USD 0.27 Billion in 2025, accounting for 26% of the total market share. The segment is projected to grow at a CAGR of 8.4% due to increasing cardiovascular disease screening and advanced imaging demand.

Gastroenterology

AI in ultrasound imaging is increasingly used in gastroenterology for digestive disorder diagnosis and organ imaging analysis. Nearly 39% of gastroenterology centers adopted AI-assisted ultrasound systems for liver and abdominal imaging procedures. Around 35% of clinicians observed improved scan clarity and faster disease identification after AI integration. Automated image segmentation also improved examination accuracy by approximately 31%.

Gastroenterology accounted for USD 0.20 Billion in 2025, representing 19% of the overall market share. This application segment is expected to grow at a CAGR of 7.9% from 2025 to 2035, supported by rising digestive disease diagnosis requirements.

Obstetrics and Gynecology

Obstetrics and gynecology applications are growing rapidly because AI-powered ultrasound imaging improves fetal monitoring and pregnancy-related diagnostics. More than 52% of maternity healthcare centers are using AI-assisted imaging systems for prenatal examinations. Around 45% of healthcare providers reported improved fetal image quality and automated anomaly detection using AI-supported ultrasound systems. Patient preference for advanced prenatal imaging increased by nearly 38%.

Obstetrics and Gynecology represented USD 0.24 Billion in 2025, accounting for 23% of the total market share. This segment is projected to expand at a CAGR of 8.3% during the forecast period due to increasing prenatal imaging demand and AI-based fetal analysis advancements.

Artificial Intelligence (AI) in Ultrasound Imaging Market Regional Outlook

The Artificial Intelligence (AI) in Ultrasound Imaging Market is expanding across major regions because of rising healthcare digitization, increased imaging demand, and adoption of smart diagnostic technologies. The global market size was USD 1.05 Billion in 2025 and is expected to reach USD 1.14 Billion in 2026 and USD 2.36 Billion by 2035, growing at a CAGR of 8.38% during the forecast period. North America holds 38% market share, Europe accounts for 27%, Asia-Pacific represents 25%, and Middle East & Africa contributes 10% of the global market. More than 59% of healthcare institutions globally are investing in AI-enabled imaging systems to improve diagnostic efficiency and reduce scanning time. Rising demand for portable ultrasound devices and automated image analysis continues to support regional market growth.

North America

North America leads the Artificial Intelligence (AI) in Ultrasound Imaging Market due to strong healthcare infrastructure and rapid adoption of advanced diagnostic technologies. More than 67% of hospitals in the region are using AI-powered imaging platforms for automated diagnostics and workflow optimization. Around 58% of imaging centers reported improved patient management through AI-assisted ultrasound systems. Portable ultrasound device adoption increased by nearly 46% across emergency healthcare services. Rising investment in digital healthcare and cloud-based imaging technologies is further supporting market growth across the region.

North America accounted for USD 0.43 Billion in 2026, representing 38% of the total market share. Increased use of AI-supported radiology systems and smart imaging solutions continues to strengthen regional demand.

Europe

Europe holds a significant position in the Artificial Intelligence (AI) in Ultrasound Imaging Market due to growing demand for automated healthcare imaging and diagnostic accuracy improvement. Nearly 55% of healthcare facilities across Europe are integrating AI into ultrasound imaging systems for faster diagnosis and reduced manual workload. Around 48% of radiologists in the region prefer AI-assisted imaging software for enhanced image interpretation. Demand for connected healthcare imaging systems increased by approximately 41%, especially in specialized diagnostic centers and maternity hospitals.

Europe represented USD 0.31 Billion in 2026, accounting for 27% of the total market share. Increasing healthcare technology adoption and advanced imaging infrastructure are supporting regional market expansion.

Asia-Pacific

Asia-Pacific is witnessing rapid growth in the Artificial Intelligence (AI) in Ultrasound Imaging Market because of increasing healthcare investments and rising patient population. More than 53% of hospitals in the region are focusing on AI-enabled diagnostic systems to improve healthcare access and imaging quality. Around 49% of healthcare providers reported rising use of portable ultrasound systems in rural and urban healthcare centers. Smart imaging technology adoption increased by nearly 44% because of improved healthcare digitization and government healthcare initiatives.

Asia-Pacific accounted for USD 0.29 Billion in 2026, representing 25% of the total market share. Growing awareness regarding AI-assisted diagnostics and increasing healthcare modernization continue to support regional demand.

Middle East & Africa

The Middle East & Africa Artificial Intelligence (AI) in Ultrasound Imaging Market is expanding steadily due to rising healthcare modernization and growing adoption of digital imaging technologies. Nearly 42% of hospitals in the region are investing in AI-supported diagnostic imaging systems to improve patient care efficiency. Around 36% of healthcare providers are using portable ultrasound devices with AI-enabled imaging features in remote healthcare facilities. Demand for automated diagnostic solutions increased by approximately 33% because of rising chronic disease screening and healthcare infrastructure development.

Middle East & Africa represented USD 0.11 Billion in 2026, accounting for 10% of the global market share. Increasing investment in healthcare technology and improved imaging accessibility are supporting market growth across the region.

List of Key Artificial Intelligence (AI) in Ultrasound Imaging Market Companies Profiled

Investment Analysis and Opportunities in Artificial Intelligence (AI) in Ultrasound Imaging Market

Investment activities in the Artificial Intelligence (AI) in Ultrasound Imaging Market are increasing rapidly because healthcare providers are focusing on advanced diagnostic technologies and automated imaging systems. More than 62% of medical technology investors are prioritizing AI-based imaging solutions due to rising demand for fast and accurate diagnostics. Around 49% of healthcare organizations increased spending on cloud-connected ultrasound imaging systems and AI software upgrades. Investment in portable ultrasound technologies grew by nearly 44% because of rising point-of-care imaging demand. Nearly 53% of hospitals are planning expansion of AI-assisted diagnostic departments to improve patient management and imaging efficiency. Strategic partnerships between medical device manufacturers and software developers increased by approximately 39%, supporting innovation in automated image analysis and real-time diagnostics. Demand for AI-based cardiovascular and prenatal imaging solutions is also creating new investment opportunities across emerging healthcare markets.

New Products Development

New product development in the Artificial Intelligence (AI) in Ultrasound Imaging Market is focused on portable systems, cloud-based imaging software, and automated diagnostic tools. More than 57% of medical device manufacturers are developing AI-powered handheld ultrasound systems for emergency care and remote healthcare services. Around 46% of new imaging platforms include automated scan interpretation and real-time reporting features. AI-enabled fetal monitoring tools improved imaging efficiency by nearly 38%, while automated cardiovascular imaging solutions increased diagnostic speed by approximately 35%. Nearly 41% of newly launched ultrasound devices now support wireless connectivity and cloud data management. Healthcare providers are also demanding compact imaging devices with improved battery life and faster processing capabilities. Product innovation in image segmentation and AI-supported workflow management continues to strengthen competition across the market.

Developments

• GENERAL ELECTRIC COMPANY: Expanded its AI-powered ultrasound imaging portfolio with advanced automation features that improved image interpretation efficiency by nearly 42% and reduced scan processing time by approximately 34% across diagnostic centers.
• Siemens Healthcare Private Limited: Introduced upgraded smart imaging software with automated cardiac imaging support, helping healthcare providers improve cardiovascular diagnosis accuracy by around 39% and workflow efficiency by nearly 36%.
• Butterfly Network, Inc.: Enhanced its handheld ultrasound device capabilities with AI-assisted scanning features, increasing portable imaging adoption by approximately 33% in emergency healthcare and remote diagnostic services.
• Samsung: Developed advanced obstetrics ultrasound imaging solutions with AI-enabled fetal analysis tools that improved prenatal imaging quality by nearly 37% and automated anomaly detection by around 31%.
• IBM: Strengthened cloud-based healthcare imaging analytics through AI-supported diagnostic integration, helping hospitals improve imaging data management efficiency by approximately 35% and reduce reporting delays by nearly 29%.

Report Coverage

The report coverage of the Artificial Intelligence (AI) in Ultrasound Imaging Market provides detailed analysis of market trends, segmentation, competitive landscape, investment opportunities, and regional outlook. The report includes SWOT analysis to evaluate strengths, weaknesses, opportunities, and threats across the industry. More than 63% of healthcare institutions are focusing on AI-powered imaging technologies because of increasing demand for faster diagnostics and workflow automation. Strength analysis highlights growing adoption of AI-assisted image interpretation, with nearly 54% of hospitals reporting improved diagnostic efficiency through smart imaging systems.

The weakness section identifies technical integration challenges and shortage of trained professionals as key barriers affecting approximately 38% of healthcare facilities. Around 35% of imaging centers also reported concerns related to system compatibility and data security during AI implementation. Opportunity analysis shows rising demand for portable ultrasound devices and cloud-based imaging platforms, with adoption increasing by nearly 47% in emergency and remote healthcare applications.

Threat analysis includes rising cybersecurity risks and increasing competition among imaging technology providers. Approximately 32% of healthcare organizations strengthened digital protection systems to secure imaging data and patient records. The report further covers market segmentation by type, application, and region with detailed analysis of software tools, services, devices, radiology, cardiovascular, gastroenterology, and obstetrics applications. Regional analysis highlights North America as the leading market with 38% share, followed by Europe at 27%, Asia-Pacific at 25%, and Middle East & Africa at 10%. The report also includes detailed company profiling, product innovation trends, and strategic developments supporting overall market expansion.

Future Scope

The future scope of the Artificial Intelligence (AI) in Ultrasound Imaging Market remains highly positive due to increasing adoption of automated healthcare technologies and smart diagnostic imaging systems. More than 66% of healthcare providers are expected to increase investment in AI-powered ultrasound imaging solutions to improve patient diagnosis and operational efficiency. Rising demand for portable and handheld ultrasound systems is projected to support broader healthcare accessibility, especially in emergency and remote medical services. Around 51% of hospitals are planning to expand AI-assisted imaging infrastructure to strengthen workflow management and clinical decision-making.

AI-enabled cardiovascular imaging and prenatal imaging applications are expected to witness strong demand because of increasing chronic disease diagnosis and maternal healthcare monitoring requirements. Nearly 48% of healthcare professionals believe automated image interpretation tools will become standard in future diagnostic imaging practices. Cloud-based imaging systems and wireless diagnostic platforms are also expected to gain higher adoption, with demand increasing by approximately 43% across hospitals and specialty clinics.

Technological advancements in machine learning, image segmentation, and real-time analytics are likely to improve imaging speed and accuracy significantly. More than 39% of medical device manufacturers are focusing on compact AI-supported ultrasound systems with automated reporting features. Demand for remote healthcare imaging solutions is also projected to rise because of increasing telemedicine adoption and digital healthcare transformation. Healthcare organizations are expected to focus strongly on cybersecurity and patient data management, as nearly 34% of institutions continue strengthening digital healthcare protection systems. The Artificial Intelligence (AI) in Ultrasound Imaging Market is expected to witness continuous innovation, broader healthcare adoption, and improved imaging accessibility across developed and emerging healthcare economies.