Polysilicon,being the base for Semiconductor and Photovoltaic (PV) industry, has amajor influence on its end markets. With the robust growth in its endmarkets i.e. solar and semiconductor, more in solar industry, the worldmarket for polysilicon has been growing rapidly since 2004 leading toan imbalance in polysilicon supply and demand. However, realizing theneed of the hour, the major producers started thinking of increasingtheir capacity by working out plans for polysilicon capacity addition.
Thisreport analysis the past trends in global polysilicon market reflectingthe growth in demand surpassing the growth in supply of polysilicon.However, with the addition of new polysilicon capacities, the imbalancein global supply-demand of polysilicon is shifting from shortage ofpolysilicon to oversupply in the coming years. The future will see anoversupply in polysilicon driven by the entrance of new players andalso capacity addition by the existing ones.
This report alsoanalysis the movement of global polysilicon prices with the shift inthe imbalance in polysilicon supply-demand model. Previously, due toshortage in polysilicon supply, the spot prices saw a sharp rise in2008, but with the ease in supply of polysilicon in the coming years,the prices are expected to decline to much lower levels.
Anotheraspect that the report covers is the analysis of polysiliconend-markets which have been the major drivers behind the robust growthin polysilicon demand. The high growth in demand from semiconductor andPV industry has forced the existing polysilicon producers to increasetheir capacity and has given an opportunity for new entrants in themarket.
The report also profiles the major players in theindustry. More than 90 percent of polysilicon is being supplied byseven companies: Hemlock, Wacker, REC, Tokuyama, MEMC, Mitsubishi andSumitomo. However, it is estimated that now about 70 producers arepresent in the market.
By combining SPSS Inc.’s data integrationand analysis capabilities with our relevant findings, we have predictedthe future growth of the industry. We employed various significantvariables that have an impact on this industry and created regressionmodels with SPSS Base to determine the future direction of theindustry.
Before deploying the regression model, therelationship between several independent or predictor variables and thedependent variable was analyzed using standard SPSS output, includingcharts, tables and tests.
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