The Baby Clothes market encompasses all clothing articles and accessories for children up to a height of 85cm. Clothes for taller children are subsumed into the other children’s clothing markets. Since baby clothes are neither differentiated by product group nor recorded by the number of units in the external trade statistics, the quantities displayed here are indicated in units of 100 grams in contrast to the rest of the markets.
The market comprises revenue and average revenue per capita, volume and average volume per capita, price per unit, sustainable apparel share, and sales channels. Online channel distribution refers to the purchase of physical goods in online retail. In other words, the purchase is concluded via the internet – on a desktop PC, tablet, or smartphone. The offline distribution channel covers all purchases in stationary stores made via telesales or mail orders (e.g., print catalogs).
Clothes and clothing accessories of all sorts for babies and toddlers (up to a height of 85 cm)
Children's clothes, for childen from a height of 86 cm, which are subsumed under the other children's clothing segments
Data encompasses B2C enterprises. 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).
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. 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. Next we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, consumer price index and population. This data helps us to estimate the market size for each country individually.
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, the exponential trend smoothing illustrates suited forecasting for the Apparel market with projected steady growth. The main drivers are GDP per capita and consumer spending per capita.
Additional Notes :
The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level.
Key Market Indicators
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