Market Insights Consumer Apparel Children's Apparel

Baby Clothes - Guyana

Guyana

In Guyana, the revenue generated in the Baby Clothes market is estimated to be US$3.90m in 2024.
Looking ahead, the market is projected to experience an annual growth rate of 1.15% from 2024 to 2029 (CAGR 2024-2029).
When comparing this revenue to global figures, it is worth noting that in the United States leads the way, generating US$8,148m in 2024.
In terms of per capita revenue, in Guyana generates US$4.76 per person in the Baby Clothes market in 2024.
This figure takes into account the total population of the country.
Moving on to volume, it is anticipated that the Baby Clothes market will reach a volume of 0.6m pieces by 2029 in Guyana.
However, there is expected to be a slight decline in volume growth of -0.3% in 2025.
On an individual basis, the average volume per person in the Baby Clothes market is forecasted to be 0.7pieces in 2024 in Guyana.
The demand for organic baby clothes is on the rise in Guyana, as parents prioritize environmentally-friendly and chemical-free options for their little ones.

Key regions: Indonesia, Europe, India, Philippines, Singapore

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Methodology

Data coverage:

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.

Forecasts:

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.