The main drivers are GDP per capita and consumer spending per capita.Īdditional Notes : The market is updated twice per year in case market dynamics change. For example, the exponential trend smoothing illustrates suited forecasting for the Apparel market with projected steady growth. The selection of forecasting techniques is based on the behavior of the particular market. This data helps us to estimate the market size for each country individually.įorecasts:In our forecasts, we apply diverse forecasting techniques. Next we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, consumer price index and population. As a basis for evaluating markets, we use resources from the Statista platform, national statistics, industry research, market data from independent databases and third-party sources, historical developments, current trends, reported performance indicators from the key market players, and Statista interviews with market experts. Modeling approach / Market size:Market sizes are determined by a combined Top-Down and Bottom-Up approach, based on a specific rationale for each market segment. Figures are based on the consumer spending on clothing which comprises women, men, and children segments that are produced for private end customers for both offline retail (department stores, traditional specialist shops) and online retail (e-commerce, ordering by catalog). Data coverage:Data encompasses B2C enterprises.
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