Methodology for Calculating Market Growth Rates PPT


This PPT slide, part of the 36-slide Introduction to Market Analysis PowerPoint presentation, focuses on the methodology for calculating growth rates in a specific market, emphasizing the importance of clearly stating assumptions. It is divided into 2 main sections: the type of information needed and the methods for obtaining that information.

In the first section, historical growth rates are highlighted as critical data points. It suggests gathering annual growth data, ideally over a 3 to 10-year span, and calculating the compound annual growth rate (CAGR) for that period. This historical context is vital for understanding past performance and setting a baseline for future projections.

The second section addresses projected future growth rates. It stresses the need for assumptions based on insights from industry experts and collaboration with the management team. The timeframe for these projections should be relevant to the market dynamics being analyzed. The slide also reiterates the importance of including CAGR in future growth calculations.

To aid in these calculations, the slide recommends using published data when available and provides the CAGR formula for reference. It also lists "sensible assumptions" that have been used in past analyses, such as maintaining historical growth rates, modest annual increases, and more aggressive growth projections in rapidly evolving sectors like technology.

The concluding statement underscores that understanding the reasons behind growth is as crucial as determining the growth figures themselves. This holistic approach ensures that growth calculations are not just numbers, but are grounded in market realities and informed assumptions.



This slide is part of the Introduction to Market Analysis PowerPoint presentation.

This deck is created by ex-McKinsey, BCG, Deloitte, EY, and Capgemini consultants. Explains a framework used by global strategy consulting firms for Market Analysis. Also discusses Porter's Five Forces and Value Chain Analysis.

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