Global Hydroprocessing Catalyst (HPC) Market: An Analysis

Feb. 15, 2012 - PRLog -- Due to the rising prices of petroleum products, refiners are focusing to maximize the yield from resid feedstocks through HPC.

The catalysts used are usually composed of oxides of Mo (Molybdenum), Co (Cobalt), Ni (Nickel), and W (Tungsten) on a matrix or carrier of alumina, silica, silica/alumina.

HPCs are categorized into Hydrotreating, reforming, hydrocracking and isomerization & hydrogenation catalysts. Hydrotreating catalysts that account for more than half of HPC market is served by players like Criterion, Albemarle, Haldor Topsøe, ART, Axens and UOP. Since hydrocracking and other licensed specialty hydrotreating catalysts are quite expensive, refiners are now focusing on regenerability of spent catalysts. Factors affecting the HPC market include fluctuations in raw material prices and demand irregularities. Mandatory environmental fuel specifications introduced by EU, the US and many Asia-Pacific countries (according to which a maximum sulfur limit of 10 ppm sulfur free was set for diesel fuel) will be driving the HPC market. Albemarle is the leader in the HPC catalyst market followed by Shell/Criterion and W.R.Grace/Chevron.

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The report titled “Global Hydroprocessing Catalyst (HPC) Market” analyzes the global HPC market. It presents an overview of the market, technologies used, classification and segmentation of the global HPC market with a special focus on segment analysis like hydrotreating, hydrocracking and reforming catalyst markets. Factors that are driving the HPC market and also the factors that are affecting the growth of the market have also been analyzed. Further, the level and intensity of the competition and the strategies of the leading players in the market has also been assessed in the report. Further, the report forecasts the growth of the HPC market by evaluation key determinants like the global oil consumption, demand for overall refinery catalysts and worldwide refinery capacities.

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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