Artificial Intelligence Medical Imaging Market Size, Share and Outlook - Growth Analysis Report and Forecast Trends 2026-2030

AI medical imaging is the application of machine-learning models to medical scans for tasks such as lesion detection, image reconstruction, triage, and report prioritization. The market is currently valued at around USD 2.42 billion in 2025 and is forecast to grow at roughly 27.94% per year through the end of the decade. Adoption is concentrated in hospital radiology departments, teleradiology providers, and specialty imaging centers, with software representing the largest revenue component.

• •Estimated 2025 market size: ~USD 2.42 billion
• •Forecast CAGR: ~27.94% (2025-2030 period)
• •Core modalities addressed: CT, MRI, X-ray, and ultrasound

Rising diagnostic imaging volumes, a persistent global shortage of radiologists, and mounting pressure to reduce turnaround times are the principal demand drivers. Regulatory agencies in the US, EU, and Asia have cleared a growing number of AI medical imaging products, lowering the barrier to clinical deployment. Concurrent advances in compute infrastructure, including GPU clouds and on-premise AI servers, are making large-scale inference both affordable and practical for health systems.

• •Radiologist workload outpacing supply in most OECD countries
• •Increasing number of FDA, CE-MDR, and other regulatory clearances for imaging AI
• •Growing preference for cloud-based and hybrid deployment models by hospitals

By component, software solutions account for the majority of revenue, with services and hardware making up the balance; by clinical application, oncology, neurology, and cardiovascular imaging are the largest use cases. Geographically, North America leads on the back of high imaging utilization, established reimbursement pathways, and an active regulatory environment, while Asia-Pacific is the fastest-growing region as countries such as China, India, and Japan invest in AI-enabled screening programs. Europe follows closely, supported by national AI strategies and centralized radiology networks.

• •Software dominates revenue share, followed by services and hardware
• •North America holds the largest share; Asia-Pacific is the fastest-growing region
• •Key applications: oncology, neurology, cardiovascular, and pulmonary imaging

What are the recent trends and outlook?

Generative and foundation models are emerging as a major trend, with several vendors training large multimodal networks that can handle multiple modalities and tasks from a single model. Integration with reporting and electronic health record systems is becoming table stakes, and reimbursement frameworks for AI-assisted reads are beginning to take shape in the US and parts of Europe. Looking ahead, the market is expected to sustain double-digit growth well beyond 2030, driven by population aging, expanding screening mandates, and the broader transition of healthcare toward AI-augmented clinical decision-making.

• •Foundation and multimodal models are reshaping product roadmaps
• •Reimbursement pathways for AI-assisted imaging are expanding in the US and EU
• •Aging populations and screening program expansion support long-term demand