AI in medical imaging market to hit $17.19 billion by 2030

The Business Research Company says the global AI in medical imaging market grew to $4.44 billion in 2025 and is projected to reach $5.82 billion in 2026. The report points to rising imaging volumes, radiologist shortages and broader AI adoption as the main forces behind the market's rapid expansion through 2030.

Why it matters: - AI is moving deeper into radiology and diagnostic imaging, where faster reads and better image analysis can affect patient care, workflow efficiency and treatment planning. - The market's projected growth signals stronger demand for tools that help hospitals handle rising scan volumes and staff shortages. - Download a free sample of the market report

What happened: - The Business Research Company released its Artificial Intelligence in Medical Imaging Market Report 2026 with forecasts through 2035. - The report says the market reached $4.44 billion in 2025 and is projected to rise to $5.82 billion in 2026. - The report estimates the market will reach $17.19 billion by 2030. - North America held the largest market share in 2025. - Asia-Pacific is projected to be the fastest-growing region during the forecast period.

The details: - The report puts 2025-to-2026 growth at a 31.0% compound annual growth rate. - The forecast through 2030 implies a 31.1% CAGR during the broader forecast period. - Growth drivers include more medical imaging procedures, a shortage of skilled radiologists, rising chronic and complex disease rates, better digital imaging infrastructure and more hospital imaging departments. - Future growth is expected to come from AI-powered clinical decision support systems, precision diagnostics investment, broader use across imaging modalities, faster diagnostic demand and tighter integration with hospital information systems. - Trends highlighted in the report include AI-assisted imaging tools, deeper use of machine learning for image interpretation, automation in radiology workflows, AI-based predictive diagnostic models and more focus on earlier disease detection. - AI in medical imaging uses algorithms to analyze scans and produce quantitative evaluations of radiographic features. - AI systems can detect and classify pulmonary nodules as benign or malignant. - AI can also support brain tumor prediction and radiation therapy planning. - AI can assist image reconstruction, reduce noise and correct artifacts in CT scans. - The UK National Health Service reported 47.2 million imaging tests in England from April 2023 to March 2024, up 4.8% from 45.0 million the year before. - View the full market report

Between the lines: - The report frames AI in medical imaging as both a clinical tool and a capacity multiplier for overloaded health systems. - The strongest demand appears to come from operational pressure as much as from technical innovation. - The regional split suggests mature markets are already adopting these tools, while faster growth in Asia-Pacific points to broader rollout ahead. - The report's focus on early detection and workflow automation shows where vendors are likely to compete.

What's next: - The report expects continued expansion as hospitals adopt more AI-enabled imaging software and connect it to existing IT systems. - Additional gains are likely as deep learning tools and predictive models become more common in daily radiology workflows. - The 2026 edition adds market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspot infographics, and updated trend analysis.