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Global Bio-Pharma CMO Market Report
Koncept Analytics, May 2010, Pages: 32
The big-pharma companies are increasingly outsourcing their production of drugs to contract manufacturing organizations (CMOs) solely to reduce cost of production, working capital requirement, and time-to-market, or to obtain a specific expertise not available in-house. The biggest factor to drive the growth of CMOs in the pharmaceutical industry is the growing need of state-of-the-art process & production technologies, which have proven highly effective in meeting regulatory requirements.
The global market for bio-pharma has grown at a CAGR of 11.2% over the last few years. The share of the CMO market of the total bio-pharma market has also increased over 2001 to -2008. The Bio-Pharma CMO market can be segmented into Mammalian CMO market and Microbial CMO market. The largest capacity share of the bio-pharma CMO market is held by the Mammalian CMO market.
The main growth driver of the bio-pharma CMO market is the increasing outsourcing trend among the bio-pharma manufacturers as a result of stringent regulatory environment. However, factors like global economic crisis, intellectual property risk, increasing regulatory cost, and lack of integrated CMOs are also acting as a roadblock in the path of overall industry growth, which are highly recommended to be solved to grow in the long term.
The current report analyzes the global bio-pharma CMO market. The various drivers, opportunities and the challenges faced by the market are 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.
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