The global market for PACS and teleradiology systems is expected to be worth $4.4 billion by 2010, while the computed radiography (CR) and RIS markets are also expected to grow in years to come.
That's according to a new report released this week by market research firm Global Industry Analysts of San Jose, CA. The report said that increased adoption of digital technologies is expected to bolster demand.
The report states that the U.S., Europe, and Japan dominate the global market for PACS and teleradiology systems, with more than 88% of sales coming from these regions. The U.S. leads the world in terms of PACS acceptance, while interest is heating up in Europe as countries look for ways to reduce healthcare costs while providing better patient care. PACS growth in Europe is expected at a 13% compound annual growth rate through 2010.
The CR market is expected to produce $153 million in sales in 2010, while the RIS market in Japan will produce $98 million in revenues by 2010.
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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)
