The Global AI in Ultrasound Imaging Market size is expected to be worth around USD 2261.8 Million by 2033, from USD 964.2 Million in 2023, growing at a CAGR of 8.9% during the forecast period from 2024 to 2033.

In 2025, the AI in Ultrasound Imaging Market is evolving toward quantitative analysis and predictive diagnostics—moving beyond static imaging to data-driven insights. AI platforms extract texture, perfusion, and biomechanical features, enabling early detection of liver fibrosis, thyroid malignancies, and vascular changes. Predictive models map risk profiles and suggest follow-up schedules based on scan pattern and history.

Researchers are combining ultrasound AI with biomarkers and genomics for AI-enhanced risk stratification. Enterprises are embedding analytics suites within PACS and EHRs. With precision medicine on the rise, ultrasound is evolving into a predictive diagnostic modality, not just an imaging device.

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Emerging Trends

1. Quantitative tissue characterization, such as liver stiffness and ultrasound elastography scoring.
2. Predictive risk models forecasting fibrosis or nodule malignancy.
3. Multi-modal integration, combining ultrasound, lab values, and genomics.
4. Enterprise analytics embedding, providing AI results inside EHR and PACS systems.

Use Cases

1. A hepatology clinic uses AI elastography to quantify fibrosis and track progression in NAFLD patients.
2. AI flags vascular calcifications in thyroid scans and forecasts malignancy risk, prompting biopsy.
3. A radiology network uses an analytics dashboard combining ultrasound and genomic risk to stratify breast lesion follow-up.
4. A hospital integrates predictive scan reports into EHR, guiding personalized monitoring intervals.