Ultrasound AI Market to Reach $6.88 Billion by 2030
The global Ultrasound AI Market is expected to expand significantly, reaching a valuation of $6.88 billion by 2030, according to a press release by MarketsandMarkets. This growth is driven by a compound annual growth rate (CAGR) of 24.0% from 2025 to 2030, fueled by the increasing demand for faster, more accurate, and non-invasive imaging solutions.
The market, which was valued at $2.35 billion in 2025, is seeing rapid advancements in machine learning and AI technologies. These advancements enable highly automated image interpretation, superior image resolution, and real-time analytics, which reduce reliance on skilled operators and minimize diagnostic errors. The adoption of portable and point-of-care AI-powered ultrasound devices is also improving healthcare accessibility, particularly in rural and underserved regions.
The market is segmented by product type into AI-enabled ultrasound systems and AI-enabled solutions/software. The latter is expected to grow at the highest CAGR due to the ease of upgrading software platforms with new algorithms and clinical applications. By application, the OB/GYN segment is projected to grow rapidly, driven by the critical role of ultrasound in prenatal care and gynecological assessments.
North America currently holds the largest market share, supported by the rapid adoption of portable ultrasound devices and strong collaboration between healthcare providers and AI developers. Established reimbursement frameworks and robust IT infrastructure further contribute to the region's dominance in the market.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 30 Insilico Medicine Selects AI Designed Obesity Drug Candidate ISM1354 Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell ImagesLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
MarketsandMarkets Forecasts Edge AI Software Market at $120.31 Billion by 2032
MarketsandMarkets Forecasts Shadow AI Governance Market at $8.64 Billion by 2032
Bain Says AI Needs $6 Trillion in Annual Revenue by 2031
RIVANNA Files 100th Patent for Ultrasound AI
MarketsandMarkets Projects Modular Data Center Market at $93.6 Billion by 2031
Daily AI Brief: the AI news that matters, in your inbox.