AI in radiology market seen reaching $10.7B by 2030

The Business Research Company says the artificial intelligence in radiology market will grow from $3.71 billion in 2026 to $10.7 billion by 2030, driven by wider use of AI-assisted imaging, cloud tools and hospital IT integration. North America held the largest regional share in 2025 as adoption accelerated across healthcare systems.

Why it matters: - Artificial intelligence is becoming a core layer in radiology workflows, with the potential to speed up image analysis, improve diagnostic accuracy and ease staffing pressure. - The market’s projected growth signals that healthcare providers are moving from experimentation to broader operational use of AI tools. - Rising adoption could reshape imaging departments by tying radiology more closely to hospital IT systems and predictive analytics.

What happened: - The Business Research Company projected the artificial intelligence in radiology market will reach $10.7 billion by 2030. - The forecast implies a 30.3% compound annual growth rate through 2030. - The market is estimated to rise from $2.85 billion in 2025 to $3.71 billion in 2026. - North America held the largest share of the market in 2025. - The report covers North America, Asia-Pacific, South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa.

The details: - Demand for diagnostic imaging services, a shortage of radiology professionals and broader use of digital radiology technologies supported the prior growth period. - Growing complexity in imaging data and widespread adoption of picture archiving systems also helped expand the market. - Future growth is expected to come from increased adoption of AI-assisted radiology platforms. - Productivity improvements in imaging departments are another expected driver. - Wider use of cloud-based AI radiology solutions is part of the growth outlook. - Predictive imaging analytics is gaining a larger role in the market. - Integration with hospital IT systems is becoming more common. - Emerging trends include AI built into radiology reporting workflows. - Computer vision techniques are being used more often to interpret medical images. - AI is also being deployed to improve workflow efficiency. - Real-time decision support tools are expanding to help radiologists during diagnosis. - The report says new innovations are aimed at improving diagnostic accuracy and reducing errors. - The report also says those advances can increase confidence in AI tools among healthcare professionals. - The report defines artificial intelligence in radiology as the use of machine learning and specialized image analysis algorithms to improve the precision and efficiency of reading medical images. - AI tools can quantitatively analyze imaging data and provide objective information about tissue characteristics and anatomical structures.

Between the lines: - The market forecast reflects a broader healthcare shift toward automation in tasks that are data-heavy, repetitive and sensitive to human error. - Public and staff acceptance may help accelerate deployment, especially where AI supports rather than replaces clinical judgment. - North America’s lead suggests the region’s infrastructure, technology adoption and R&D spending still give it an edge in bringing imaging AI into routine use. - A July 2024 report by The Health Foundation found 54% of the UK public and 76% of NHS staff supported AI in patient care, while 61% of the public and 81% of NHS employees supported its use for administrative tasks. - That support is relevant because radiology AI often enters hospitals first as a workflow tool before becoming a diagnostic aid.

What's next: - The Business Research Company expects continued adoption of AI-assisted radiology platforms through 2030. - Cloud-based deployment and tighter hospital IT integration are likely to remain key areas of investment. - Report updates now include market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, and key technology and future trend analysis. - The company is also offering access to a free sample and the full market report through its website.

The bottom line: - Radiology AI is moving from niche tooling to a high-growth healthcare market, with software, workflow automation and diagnostic support driving the next phase of expansion. - More information - The full report