Ultrasound Images
Buy and sell ultrasound images data. OB/GYN, cardiac, and MSK ultrasound frames with annotations. Point-of-care ultrasound AI guides non-experts to clinical-quality scans.
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Find Me This Data →Overview
What Is Ultrasound Images?
Ultrasound images are diagnostic visual data captured during ultrasound scans across specialties including obstetrics/gynecology, cardiology, and musculoskeletal (MSK) imaging. These images, often with clinical annotations, are increasingly paired with AI-guided point-of-care ultrasound tools that enable non-expert operators to achieve clinical-quality scans. The global ultrasound AI market, which processes and leverages such imaging data, is experiencing rapid expansion driven by demand for early disease detection, cost-efficient healthcare delivery, and advances in machine learning and computer vision technologies.
Market Data
USD 1.82 billion
Ultrasound AI Market Size (2025)
Source: Research and Markets
USD 13.56 billion
Ultrasound AI Market Projection (2033)
Source: Research and Markets
28.55% (2026–2033)
Ultrasound AI Market CAGR
Source: Research and Markets
~20.4% (2024)
Compact/Handheld Device Market Share
Source: Coherent Market Insights
USD 10.32 billion
Global Ultrasound Equipment Market (2025)
Source: Fortune Business Insights
Who Uses This Data
What AI models do with it.do with it.
AI Model Training
Machine learning and computer vision companies develop diagnostic algorithms using annotated ultrasound frames to improve disease detection accuracy and reduce reliance on manual interpretation.
Clinical Decision Support
Point-of-care ultrasound AI guides non-specialists—including emergency physicians, nurses, and field clinicians—to acquire diagnostically sound images in real-time without extensive sonography training.
Medical Device Manufacturers
Ultrasound equipment makers (GE Healthcare, Philips, Siemens, Canon, Fujifilm) integrate annotated datasets into AI-enabled handheld and portable systems for cardiology, gynecology, and musculoskeletal applications.
Healthcare Systems & Diagnostic Centers
Hospitals, clinics, and low-income regions adopt portable, AI-assisted ultrasound to expand access to imaging in areas facing shortages of skilled sonographers.
Pricing depends on the proposed terms
We do not have a verified, comparable price for your dataset. Consider the permitted uses, license term, exclusivity, provenance, coverage and quality. A seller asking price is a proposal, not an appraisal or guaranteed sale. Compare prices only when the source, date, currency, unit and license scope are known.
What Buyers Expect
What makes it valuable.valuable.
Clinical Annotation Accuracy
Images must be labeled by qualified sonographers or radiologists identifying anatomical structures, pathologies, and measurement landmarks relevant to the clinical use case.
Image Resolution & Consistency
High-quality frames from modern ultrasound systems with consistent acquisition protocols; handheld and portable device images now represent a significant market segment (20.4% in 2024).
Diverse Clinical Scenarios
Datasets should span multiple specialties (obstetrics, cardiology, MSK) and include both normal and pathological cases to train robust AI models.
Regulatory Compliance
Images must adhere to HIPAA, GDPR, and local healthcare regulations; de-identification and ethical approval are critical in highly regulated environments.
Potential applications and organizations
Who's buying.buying.
Develops AI-integrated ultrasound systems and diagnostic software; acquires annotated imaging datasets to enhance machine learning models for clinical deployment.
Manufactures advanced ultrasound equipment with AI capabilities; sources high-quality imaging data to improve portable and point-of-care device performance.
Integrates ultrasound imaging data into AI-driven diagnostic platforms; actively launches AI-powered ultrasound solutions across cardiology and emergency care.
Specializes in portable and handheld ultrasound devices with AI guidance; uses annotated datasets to train real-time image quality and diagnostic algorithms.
AI-focused ultrasound software startups that license datasets for training cardiac, point-of-care, and automated interpretation algorithms.
FAQ
Common questions.questions.
What clinical specialties drive ultrasound image demand?
Obstetrics/gynecology, cardiology, and musculoskeletal (MSK) imaging are primary specialties. Additionally, point-of-care ultrasound for emergency medicine and oncology are growing segments. North America has broad adoption across obstetrics, cardiology, oncology, and emergency care.
Why is the ultrasound AI market growing so rapidly?
The ultrasound AI market is projected to grow at 28.55% CAGR (2026–2033), driven by rising demand for accurate early disease detection, cost-efficiency pressures in healthcare, rapid imaging volume growth, government support, and technological advances in machine learning and computer vision.
What is the market opportunity for handheld and portable ultrasound?
Compact and handheld ultrasound devices accounted for approximately 20.4% of the market in 2024 and are rapidly expanding. These devices are particularly valuable in resource-constrained settings and low-income regions where access to traditional ultrasound infrastructure is limited.
What are the main barriers to growing the ultrasound image data market?
Key challenges include shortage of skilled sonographers, stringent regulatory approval requirements for medical devices, high costs of advanced ultrasound systems limiting adoption in developing regions, and competition from alternative diagnostic technologies like MRI and CT imaging.
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Describe your ultrasound images and the uses you are authorized to offer. Price, legal suitability, and buyer interest require separate evaluation. No match or sale is guaranteed.
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