Modeling and simulation of market dynamics for successive generation of flash memory

Impressive growth of the information products market has been sustained by the availability of successful semiconductor non-volatile memory technologies. The key driver is right the flash memory for the mass storage application in portable electronic systems. In this work, we study the market dynamics of successive generations of flash memory using a growth model. The adopted model considers non-uniform influence, asymmetric diffusion, and heterogeneity of the population of potential adaptors. The nonlinear growth model is solved numerically and applied to explore the marketing growth of flash memory in the past years. New technologies of flash memory diffuse through a population of potential buyers over time; the model provides a basis for assessing and forecasting the influence of recent technologies on earlier ones. We further examine the successive generations of flash memory from 128Mb to 1Gbit. Comparison of the simulated results with the realistic data validates the theoretical findings so as to forecast the growth dynamics of market among different generations.