Shirts & Blouses - Canada

  • Canada
  • In 2024, the revenue generated in the Shirts & Blouses market in Canada amounts to US$1.73bn.
  • This market is projected to grow at an annual rate of 1.24% 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 income, each person in Canada generates US$43.47 in revenue in the Shirts & Blouses market in 2024.
  • Looking ahead, the volume in the Shirts & Blouses market is expected to reach 45.2m pieces by 2029.
  • However, there is a slight decline of -1.0% expected in 2025.
  • On average, each person in Canada is expected to contribute 1.2pieces in volume in the Shirts & Blouses market in 2024.
  • The demand for Canadian-made flannel shirts has been steadily increasing, as consumers prioritize local and sustainable fashion options.

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

Market
Region
Region comparison
Currency

Revenue

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Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Dec 2024

Source: Statista Market Insights

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Most recent update: Dec 2024

Source: Statista Market Insights

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Most recent update: Mar 2024

Sources: Statista Market Insights , Annual reports of key players , Desk research , Statista Consumer Insights Global

in trillion USD (US$)

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Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

Most recent update: Feb 2023

Volume

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Most recent update: Dec 2024

Source: Statista Market Insights

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Most recent update: Dec 2024

Source: Statista Market Insights

Key Players

in percent

2022
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Most recent update: Mar 2024

Source: Statista Market Insights

Price

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Most recent update: Dec 2024

Source: Statista Market Insights

Sales Channels

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Most recent update: Mar 2024

Source: Statista Market Insights

Global Comparison

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Most recent update: Dec 2024

Source: Statista Market Insights

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.

Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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