• Chinmay Raut
• Ashutosh Pandya
• Sukanya Kulkarni

Telecommunication industry plays a very vital role for the overall economic growth of any country, by providing means to promote economic and regional development as well as international trade in the country. The number of mobile subscribers has seen a very rapid growth in the past decade. Today India has around 1172.44 million mobile phone users making it one of the most booming sectors. The purpose of this research is to analyze the various factors that affect the growth of the sector in India and predict the future rate at which the mobile teledensity is going to increase in our country throughout the decade (2020 - 2029). Various non-linear models have been experimented under assumed saturation level and accordingly, the best model for time series forecasting is selected. The model selected is ARIMA (Autoregressive Integrated Moving Average) and with the help of it the projected rate at which the base of the mobile subscribers is going to increase has been successfully implemented. These results will have very important implications for telecom companies providing them with the idea of how much the infrastructure is to be developed to match the increasing requirements.

ARIMA; Forecasting; Investment; MAPE; Teledensity; Timeseries

"ICAIML-20 Forecasting Mobile Teledensity Growth in India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.174-178, December-2020, Available :http://www.jetir.org/papers/JETIREJ06037.pdf

"ICAIML-20 Forecasting Mobile Teledensity Growth in India", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp174-178, December-2020, Available at : http://www.jetir.org/papers/JETIREJ06037.pdf