• Anjali Khurana
• Dr. Sumeet Singh Jasial

This paper is an attempt to elucidate demand estimation techniques for the automobile sector of some countries to spot research gaps for the Indian scenario using a systematic literature review. There are several reasons to analyse consumer demand patterns in the automobile sector. This sector contributes significantly to the economic growth and development of any economy as it generates gainful employment, boosts exports and FDI inflows and expedites the pace of technical progress and research and development. Demand analysis focuses on understanding the customer demand for a product - in this case, passenger vehicles in a target market and has tremendous managerial and theoretical implications. The automobile sector can use demand analysis techniques to ascertain whether they can successfully enter a specific market and generate the required expansion or profitability. A growing level of customer centricity backed by a significant demographic dividend, will enable the automobile sector to benefit from the growing demand for vehicles. This manuscript traces the pre published literature in the above regard to conclude that regression analysis, in particular multiple linear regression can be used to bifurcate demand for Indian passenger vehicles to arrive at meaningful results that would benefit theory as well as incumbent and potential automobile makers make rational decisions.

"Research Gaps in Demand Estimation - The Case of Indian Passenger Vehicles", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.e462-e476, July-2023, Available :http://www.jetir.org/papers/JETIR2307449.pdf

"Research Gaps in Demand Estimation - The Case of Indian Passenger Vehicles", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppe462-e476, July-2023, Available at : http://www.jetir.org/papers/JETIR2307449.pdf