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Global Industrial Enzymes Market: An Analysis
Koncept Analytics, Nov 2010, Pages: 46
The current report offers a detailed insight of the global industrial enzymes market. Technological developments and product innovations have fuelled the application of enzymes in various industrial sectors in the past few years. Industrial enzymes can typically replace conventional chemicals, getting more out of raw materials and increasing the efficiency of production processes.
On the basis of application, industrial enzymes could be divided into four major categories, i.e. detergent enzymes, technical enzymes, food enzymes and feed enzymes. The technical enzymes segment could further be divided into textile enzymes, leather enzymes, pulp and paper enzymes, fuel ethanol enzymes and others. The major enzymes used in industrial enzymes market are amylase, lipase, protease, ligase, phytase, cellulose, xylanase etc. Food enzymes constitute the major market share of the all four categories of industrial enzymes as of 2009. However the y-o-y growth registered by technical enzymes segment was highest in past 4-5 years due to dramatic growth of the fuel ethanol enzymes segment. The global fuel ethanol enzymes industry constituted about 11% of the global industrial enzymes market in 2009 and the market has increased at an annual growth rate of 15%-20% in the past few years.
Industrial enzymes operates in an oligopolistic market with the presence of three major suppliers, Novozymes A/S (headquartered in Denmark), Genencor International Inc. (headquartered in the U.S.), and DSM N.V (headquartered in the Netherlands). Their main market segments are food (e.g., dairy, baking, brewing, beverage), animal feed, and technical applications. Novozymes is the largest supplier in each of these three sectors, with an estimated market share of 47% of the industrial enzyme market in 2009.
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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