Global Dialysis Market Report: 2010 Edition--Aarkstore Enterprise Market Research
Posted Jun 24 2010 2:15am
Dialysis is a process by which salt, fluid and toxins are removed artificially to clean the blood of ESRD patients. End stage renal disease (ESRD) is a stage of chronic kidney disease (CKD) which requires dialysis treatments. The dialysis market is divided into two segments namely dialysis product segment and dialysis services (care) segment. The dialysis care segment provides the services while the dialysis products segment provides all the related equipments and products.
The dialysis market has experienced a solid growth during the past few years on account of increase in ESRD population, increased incidence of hypertension, diabetes and obesity. Moreover, Government initiatives like bundled reimbursement model, increasing medical R&D expenditure, introduction of new health treatments, as well as rising health awareness among the population has led to an increase in the demand for dialysis treatment. Home dialysis is a major contributor to the dialysis market. Cost effectiveness, privacy and the comfort of receiving treatment at home has driven the demand for home dialysis services. In addition, rapid economic growth in India and China, the two most populous nations in the world, is expected to create more opportunities in this market.
Fresenius Medical Care is the market leader in dialysis market. The other key players are Baxter International Inc, DaVita Inc and Gambro.
The current report analyzes the market size and segmentation of the global dialysis market. The various drivers, opportunities and the challenges faced by the market are also discussed in detail. The competitive aspect of the market is also highlighted and the key players are profiled with their strategies for this market.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.