Market Size Growth Survival in Multi-Generation Technology Environment: A Predictive Review of the Indian Air-Conditioner and Refrigerator Industry

Ayan Chattopadhyay, Somarata Chakraborty
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Abstract

The ensuing paper aims to explore the future growth pattern of the market size of air-conditioner and refrigerator industry in India. Though this industry has witnessed phenomenal growth in the past, with multi-generation technology products driving it, its growth has remained erratic in nature. This paper also ratifies if the industry would survive the existing market size growth trend. In this predictive assessment, univariate time series data of net sales, collected from CMIE, is used. The data, spreading across 14 years, have 56 observations and exhibit both trend and seasonality. Forecast of market size is made using the best model derived from comparative approaches that include SARIMA, triple exponential smoothing and neural network. SARIMA model is found to best fit the historical data for predictive purpose and the study outcome suggests market size to grow till 2020. Finally, Weibull’s function is used to analyze reliability of the forecast results which indicates diminishing trend of the market size growth. Finally, it is concluded that the current erratic nature of market size growth would disappear.
多代技术环境下的市场规模增长和生存:对印度空调和冰箱行业的预测分析
接下来的论文旨在探讨印度空调和冰箱行业市场规模的未来增长模式。虽然这个行业在过去见证了惊人的增长,在多代技术产品的推动下,它的增长仍然是不稳定的。本文还验证了该行业是否能够在现有的市场规模增长趋势下生存下来。在这个预测评估中,使用了从CMIE收集的净销售额的单变量时间序列数据。这些数据跨越14年,有56次观测,显示出趋势和季节性。利用SARIMA、三重指数平滑和神经网络等比较方法得出的最佳模型对市场规模进行预测。SARIMA模型最适合历史数据的预测目的,研究结果表明市场规模将增长到2020年。最后利用威布尔函数对预测结果的可靠性进行分析,预测结果表明市场规模增长呈递减趋势。最后得出结论,目前市场规模增长的不稳定性质将消失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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