Global Blood Plasma Market Report: 2014 Edition
Plasma is a composite mixture of more than 700 proteins and other substances which are vital for the smooth functioning of the human body. Plasma is the liquid component of blood, constituting around 50% of the total blood volume. Plasma in itself is approximately 90% water, with the remaining 10% comprising of proteins, minerals, clotting factors, hormones and immunoglobulin which are used for their therapeutic values.
With the swift changes and advancement in biomedical/healthcare technology, the healthcare/pharmaceutical/therapeutic industry is becoming ever more competitive. Also, increasing incidences of health related issues owing to changing lifestyles is augmenting the blood plasma industry’s growth. In order to address the rising medical needs related to blood disorders such as autoimmune diseases and liver function impairment among others, market players are coming up with novel and improved treatment options like IVIG, albumin, clotting factors etc. which are derived from human blood plasma.
The blood plasma market is highly regulated to ensure the safety of collected plasma and protect donors. The market is characterized by fast pace developments in the clinical technology and testing methodology. The report, “Global Blood Plasma Market” presents different facets of the global blood plasma market with a focus on sub-markets like IVIG, albumin and hemophilia market. Moreover, market dynamics like the key trends, industry developments, growth drivers and challenges are analyzed in detail. Furthermore, the competitive landscape of the industry is presented. The market remains highly concentrated and is dominated by a handful of players including CSL, Grifols, Baxter and Octapharma. The profiles of these leading players are also included in the report along with their key financials and strategies for growth.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have projected 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.