Introduction

The job of imaging is to get the right scan in front of the right clinician quickly enough that a diagnosis can be made. Cloud infrastructure is what now makes that possible at scale. Imaging no longer needs to sit on hardware tied to a single department or site. It can be consolidated into one environment, expanded on demand as volume grows, and accessed securely by an authorised clinician from anywhere, rather than only from the building where the scan was taken.

This matters most in the US, where two pressures are converging. Imaging demand is rising faster than the radiologist workforce can grow, and AI is taking on a larger role in the reading room. Both put pressure on infrastructure built around departmental silos and on-site reading, since neither rising volume nor AI triage works well when images are hard to move or reach outside the department that generated them.

This creates an opportunity for platforms able to deliver consolidated imaging across departments and sites, making it available to any authorised reader. Cloud enterprise imaging sits at the centre of that shift, and US health systems are moving towards it at different speeds. Some have already moved entire archives to the cloud, while others deliberately keep imaging on their own servers. The move is not a routine technology upgrade, but a decision shaped by clinical, operational and financial factors that differ from one health system to the next.

This article explores why the shift to cloud enterprise imaging is accelerating, what implementation looks like in practice, how cloud platforms and AI relate to one another, why the fragmented US market shapes adoption, and what this means commercially for the vendors competing to supply it. The insights are based on discussions Sector & Segment has had with imaging professionals across US health systems, including PACS administrators and radiologists, in settings ranging from a small outpatient imaging centre to large academic health systems.

One theme runs through all of those conversations. The decision to move imaging to the cloud is rarely about the technology itself. It is a judgement about control, reliability and daily experience, and health systems at every stage of the journey weigh these factors differently.

These priorities are not weighed equally across the market. It helps to picture the users of these systems as three broad groups, each anchored to a different priority, set out below.