Market Assessment of Home Computers

Home computers are now the market. They are quite powerful, involving keyboard input, video output, and very substantial memory capacities and they are designed to use rather capable languages such as C++. Price ranges from Rs. 30,000 to Rs. 60,000 and are declining.
If you were tooling up to produce such a product, how would you go about assessing the market for the next five years kinds of capacity strategies would you generate? What decision methodology would you use?
Home computers are very necessary for everyone now. They also are quite powerful, involving key board input, video output and very substantial memory capacity and they are designed to use rather capable languages such as C++, Java etc. Price singes from 30,000 pr Rs. 6000 and are dealing now.


If we were tooling up to produce such a product for neat five year. Then we should plan about capacity strategies. Any capacity plan that we prepare is heavily dependent an our assessment of the likely demand of outputs. However, petponing long, range forecasts of product is quite difficult. A part from the growth in demand of product due to then and cyclical effects, there can be contingencies can range from far love of monsoon to wons or major technologies break through his true should forecast due demand of total computers.
Long-term forecasts of the demand of computers are made by using causal forecasting methods like regression analysis and econometric models or by using predictive methods like Delphi, market serveys etc.
All productive methods, including Delphi techniques, one qualitative methods which can be used even whom historical data regarding past sales'etc one net available. They have a special pole in long term bore casting. Since quantitative methods have strong limitations in predicting contingencies. The Delphi method. Draws upon a panel of experts in a structured manner to eliminate He possible dominance of more vocal, more prestigious and better sales persons in the group.
Market serveys and other studies an consumer behaviour provide us with a lets of data which can provide insights on factors like what makes a customer buy the computers, what feathers have a high priority in the customers preface me structure, impact of price changes and so on, such insights can prove to be extremely useful while the long term demand of the product is being predicted. We should go about market serveys for assessing the market for next five years.