Significant opportunities are present in the European PACS market for vendors who can provide customized products and services that support enhanced workflow.
That observation comes from a new report by market research firm Frost & Sullivan of San Antonio. The study estimates that the European PACS market was worth $590.3 million (U.S.) in 2007 and could reach $1.03 billion in 2014.
The market for PACS, although mature in some parts of the region, such as northern Europe, could accelerate with "sizeable capital investment" and the "advantages of having a good data management system," the report noted.
Customizing PACS projects, though lucrative, is stretching vendors' capabilities, the study added. The provision of open architecture due to the increasing sophistication and complexity of software also presents a challenge to market participants.
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New applications boost CAD in Europe, April 10, 2008
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![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
