The report analyzes the heart valve market. It analyzes the worldwide and the US market.
Online PR News – 16-November-2009 – – The two major segments of heart valve market – tissue valve & mechanical valve – both have pros and cons. Tissue valves have a lower risk for clotting but they are not durable for long-term usage compared to mechanical valves. Mechanical valves are more durable, but require anti-coagulant drugs to prevent blood clots. Tissue valve are ideal for older patients.
The mechanical valve market is expected to continue to grow in the low single digits while tissue valve market is growing at mid-single digit rates. Global mechanical valve unit sales have declined significantly over the last five years due to growth of tissue valves. Overall growth would be driven by the expansion of cardiac surgery in countries such as China, India and Eastern European nations.
Edwards Life Sciences is the leader in global tissue valve market while in the mechanical valve segment, St. Jude Medical is the global market leader. Heart valve companies are targeting the transcatheter valve segment, which presents an attractive market opportunity. The technology, involving less invasive approach, is ideal for high risk patients. In the long-term, transcatheter valves are expected to represent an increasing share of the heart valve market.
The report analyzes the heart valve market. It analyzes the worldwide and the US market. Apart from providing a competitive landscape of the market, the report also profiles the major companies, with a discussion of their key business strategies. It also analyzes the major product segments in the heart valve 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.
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