The global Ultrasound AI Market, valued at US$1.95 billion in 2024, stood at US$2.35 billion in 2025 and is projected to advance at a resilient CAGR of 24.0% from 2025 to 2030, culminating in a forecasted valuation of US$6.88 billion by the end of the period. The growth of the Ultrasound AI market is fueled by the surging demand for faster, more accurate, and non-invasive imaging solutions, particularly for the early detection and monitoring of chronic conditions such as cardiovascular diseases, cancer, neurological disorders, and diabetes. Rapid advancements in ML and AI enable highly automated image interpretation, superior image resolution, and real-time analytics, reducing reliance on skilled operators and minimizing diagnostic errors. The growing adoption of portable and point-of-care AI-powered ultrasound devices improves healthcare accessibility in rural and underserved regions.
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By product type, the market is segmented by product type into AI-enabled ultrasound systems and AI-enabled solutions/software. The AI-enabled solutions/software are segmented into image evaluation software, radiology software, workflow planning & support software, and other AI solutions. The AI-enabled solutions/software segment is expected to grow at the highest CAGR owing to easy upgradation compared to hardware systems. Software platforms can be enhanced with new algorithms, clinical applications, and compliance features through regular updates, allowing providers to keep pace with evolving diagnostic needs without significant capital expenditures.
By application, the market is segmented, by application, into radiology/general imaging, OB/GYN, cardiology, orthopedic & musculoskeletal, urology, and other applications. The OB/GYN segment is projected to grow at the highest CAGR owing to the critical role of ultrasound in prenatal care, fetal monitoring, and gynecological assessments. AI-powered ultrasound systems provide automated measurements, enhanced image quality, anomaly detection, and predictive analytics, enabling clinicians to deliver faster, more accurate, and consistent evaluations. The routine use of ultrasound in prenatal check-ups, with growing awareness of early detection benefits and the need for efficient, reliable imaging, drives strong adoption.
By geography, the market is segmented by region into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. In 2024, North America accounted for the largest share of the market. The large share of the region is supported by the rapid adoption of portable and point-of-care ultrasound devices, strong collaboration between healthcare providers, AI developers, and academic institutions, and high healthcare expenditure, enabling investment in advanced imaging technologies. Established reimbursement frameworks, early integration of AI into clinical workflows, and robust IT infrastructure for seamless connectivity with hospital systems such as PACS and electronic health records also contribute to its dominance.
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Market Ranking:
The Ultrasound AI market is moderately fragmented but led by three major players – GE Healthcare, Philips Healthcare, and Siemens Healthineers (Germany) – who dominate with strong product portfolios and global reach. GE Healthcare has an estimated 20–25% market share, strongly focusing on portable and point-of-care devices. GE Healthcare expands access to advanced imaging across hospitals, clinics, and remote settings, backed by its global presence and extensive research and development capabilities in AI-driven healthcare solutions. Philips Healthcare follows with 15–20%. Philips Healthcare offers a range of AI-enabled ultrasound products to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Its portfolio includes advanced systems such as EPIQ, Affiniti, and Lumify, which integrate AI-powered features like automated measurements, enhanced image optimization, and intelligent clinical decision support. Siemens Healthineers, with around 8–10% market share, ranks third. Siemens Healthineers offers a robust portfolio of AI-enabled ultrasound products to enhance diagnostic accuracy, streamline workflows, and support clinical decision-making. These top players are complemented by others such as Fujifilm Sonosite, Butterfly Network, and Samsung Medison, while the remaining 5–10% of the market is served by innovative startups and regional competitors focusing on AI, mobile integration, and affordability.
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