Market Insights Consumer Apparel Women's Apparel

Shirts & Blouses - Tanzania

Tanzania

In 2024, the revenue generated in the Shirts & Blouses market in Tanzania amounts to US$107.00m.
It is projected that this market will experience an annual growth rate of 4.07% from 2024 to 2029 (CAGR 2024-2029).
When compared globally, in the United States generates the highest revenue in this segment, reaching US$10,580m in 2024.
In terms of per capita figures, each person in Tanzania contributes approximately US$1.56 to the revenue of the Shirts & Blouses market in 2024.
Looking ahead, it is expected that the volume of the Shirts & Blouses market will reach 9.8m pieces units by 2029.
Additionally, there will be a volume growth of 3.1% units in 2025.
On average, each person in Tanzania is expected to purchase 0.1pieces units of shirts and blouses in 2024.
Despite the cultural diversity in Tanzania, traditional patterns and vibrant colors are favored in the local market for Shirts & Blouses.

Key regions: India, Philippines, Australia, Indonesia, Malaysia

Market

Region

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Currency

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.