Apparel - Kazakhstan

Kazakhstan

Highlights

Market definition

In-Scope/Out-of-scope

Market structure

Reports

Methodology

Revenue in the Apparel market in Kazakhstan is projected to reach US$5.89bn in 2025.
The market is forecasted to grow annually by 4.34% (CAGR 2025-2030).
The largest segment in the market is Women's Apparel, with a market volume of US$3.17bn in 2025.
In comparison to global markets, United States generates the highest revenue, amounting to US$366bn in 2025.
On a per capita basis, the revenue generated in 2025 is US$282.67.
The volume in the Apparel market is expected to reach 602.9m pieces by 2030.
In 2026, the market is projected to show a volume growth of 2.3%.
The average volume per person in the Apparel market is expected to reach 25.9pieces in 2025.
By 2025, 99% of sales in the Apparel market will be attributable to Non-Luxury.
Kazakhstan's apparel market is experiencing a surge in demand for traditional Kazakh clothing, reflecting a growing appreciation for cultural heritage.

Definition:

The Apparel market includes clothing that is produced for private end customers and is broken down into the following product lines: Women’s Apparel, Men’s Apparel, and Children’s Apparel. Work clothes as well as other personal accessories, such as watches and jewelry, handbags, and similar items, that do not count as actual articles of clothing are not included.

Structure:

The market is divided into three main categories:

The Women’s Apparel market, which encompasses clothes for women and is further divided into the following categories: Coats & Jackets, Blazers, Suits & Ensembles, Dresses & Skirts, Trousers, Shirts & Blouses, Jerseys, Sweatshirts & Pullovers, Sports & Swimwear (Performance Apparel, Sports-Inspired Apparel, Swimwear), Night & Underwear, T-Shirts, Tights & Leggings, Socks, Clothing Accessories & Other Clothes (Gloves, Shawls & Scarves, Belts, Hats & Caps, Leather Clothes, Felt and Fur & Other Clothes).
The Men’s Apparel market, which encompasses clothes for men and is further divided into the following categories: Coats & Jackets, Blazers, Suits, Trousers, Shirts, Jerseys, Sweatshirts & Pullovers, Sports & Swimwear (Performance Apparel, Sports-Inspired Apparel, Swimwear), Night & Underwear, T-Shirts, Socks, Clothing Accessories & Other Clothes (Gloves, Shawls & Scarves, Belts, Hats & Caps, Ties & Bow Ties, Leather Clothes, Felt and Fur & Other Clothes).
The Children’s Apparel market, which encompasses clothes for boys and girls up to the age of 14 and is then further divided into the following categories: Coats & Jackets, Blazers, Suits & Ensembles, Dresses & Skirts, Trousers, Shirts & Blouses, Jerseys, Sweatshirts & Pullovers, Sports & Swimwear (Sportswear, Swimwear), Night & Underwear, T-Shirts, Tights & Leggings, Socks, Baby Clothes, Clothing Accessories & Other Clothes (Gloves, Shawls & Scarves, Belts, Hats & Caps, Ties & Bow Ties, Leather Clothes, Felt and Fur & Other Clothes).

Additional Information:

The market comprises revenue and average revenue per capita, volume and average volume per capita, price per unit, luxury revenue share, secondhand apparel share, sustainable apparel share, and sales channels. The distribution channels can be divided into stationary suppliers of multi-label products (e.g., department stores and traditional specialist shops), vertically integrated textile chains (e.g., H&M and Primark), eCommerce, and ordering by catalog. Furthermore, some fashion brands seek direct contact with their customers through single-label stores.

There are numerous small, middle-sized, and big brands that operate successfully at a national or regional level. Key players in the market include Nike, ZARA, H&M, and Uniqlo.

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Overview

Revenue

Revenue Change

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

Most recent update: Dec 2025

Source: Statista Market Insights

Average Revenue per Capita

Most recent update: Dec 2025

Source: Statista Market Insights

Volume

Volume Change

Most recent update: Dec 2025

Source: Statista Market Insights

Average Volume per Capita

Most recent update: Dec 2025

Source: Statista Market Insights

Price

Price per Unit

Most recent update: Dec 2025

Source: Statista Market Insights

Sales Channels

Mobile/Desktop Split

Online Revenue Share

Most recent update: Mar 2024

Source: Statista Market Insights

Product Types

Luxury Revenue Share

Most recent update: Dec 2025

Source: Statista Market Insights

Sustainable Apparel Share

Most recent update: Apr 2025

Source: Statista Market Insights

Secondhand Apparel Share

Notes: The Night & Underwear market is built on resources from the Statista platform as well as on in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. We evaluate the status quo of the market, monitor trends, and create an independent forecast regarding market developments of the global Night & Underwear industry.

Most recent update: Mar 2025

Source: Statista Market Insights

Global Comparison

Revenue Comparison

2018

2030

2026

Top 5 countries (2026) in billion USD (US$)

Country	Revenue
1. United States
2. China
3. India
4. Japan
5. United Kingdom

Most recent update: Dec 2025

Source: Statista Market Insights

Analyst Opinion

While Greater China almost overtakes the U.S. as largest fashion market in the world, key economic indicators create a more cautious mood for the global fashion industry potentially slowing down by 2020. For companies it is crucial to prepare plans to address a possible transformation of global value chains emerging by new opportunities from global consumer spending shifting towards emerging economies as well as trade tensions and uncertainties. A leverage point could be to take a strong position on social and environmental issues, as this is very much demanded by the younger generation.

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.

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Key Market Indicators

Population

Female Population

Male Population

Households

Household Income

Consumer Spending

Consumer Price Index (CPI)

Price Level Index (PLI)

Tourism

Finance

Business Cycle

International Trade

Tax Rates

Exchange Rates

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Population in million #	**	*.	.	.	*.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	*.	*.	.	.	.	.
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Population, 25-34 Years in million #	.*	.*	.*	.*	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.*	.*	.*	.*	*.	.	.	.	.	.	.	.	.
Population, 35-44 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	*	.*	.*	.	.*	.*	.*	.*	.*	.	.	.	.	.	.	.	.	.	*.	.	.	.	.	.	.	.	.	.	.*	.*	.*	.*
Population, 45-54 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.	*.	.	.	*.	*.	.	.	.	.
Population, 55+ Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	*.	.	.	.	.	.
Population, 0-4 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*	.*
Population, 5-9 Years in million #	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*
Population, 10-14 Years in million #	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.	.*
Population, 15-19 Years in million #	.*	.*	.*	.*	.	.	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*
Population, 20-24 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*
Population, 25-29 Years in million #	.*	.*	.*	.*	.	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*
Population, 30-34 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.	.*	.*	.*
Population, 35-39 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*
Population, 40-44 Years in million #	.*	.*	.*	.*	.*	.	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*
Population, 45-49 Years in million #	.*	.*	.	.*	.*	.*	.	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*
Population, 50-54 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*
Population, 55-59 Years in thousand #	**.	**.	**.	**.	**.	***.	**.	**.	**.	***.	***.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.
Population, 60-64 Years in thousand #	**.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	***.	**.	**.	***.	**.	**.	**.	**.	**.	****	**.	**.	***.	**.	**.	**.	**.	***.	**.	**.	***.	**.	**.
Population, 65-69 Years in thousand #	**.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	***.	**.	***.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.
Population, 70-74 Years in thousand #	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	*.	*.	*.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	***.	**.	**.	***.	**.	**.
Population, 75-79 Years in thousand #	*.	*.	*.	*.	*.	**.	*.	*.	*.	*.	*.	*.	*.	**.	**.	**.	**.	***.	**.	*.	*.	*.	*.	*.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.
Population, 80-84 Years in thousand #	*.	*.	**.	*.	*.	**.	**.	*.	*.	**.	*.	*.	*.	*.	*.	*.	*.	**.	*.	*.	**.	*.	*.	*.	*.	*.	**.	*.	*.	*.	*.	*.	**.	**.	***.	**.	**.	**.	**.	**.	**.
Population, 85-89 Years in thousand #	*.	*.	*.	*.	*.	*.	**.	**.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	**.	*.	**.	*.	*.	*.	*.	*.	**.	*.	*.	*.	*.
Population, 90-94 Years in thousand #	.	*.	.	.	.	.	.	.	.	.	.	**	.	.	.	.	.	.	*.	*.	*.	*.	.	.	.	.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.
Population, 95-99 Years in thousand #	.	.	.	.	.*	.*	.*	.*	.	.	.*	.*	.*	.*	.*	.*	.*	.	.	.	.	.	*.	.	.	.	.	.	*.	.	.	.	.	.	*.	.	.	.	.	.	*.
Population, 100+ Years in #	***	***	***	***	****	****	****	****	***	***	***	***	***	****	****	****	****	***	***	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update: Jan 2025

Source: Statista Market Insights

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Apparel market worldwide - statistics & facts

The apparel we wear can be highly individualized, representing our mood, identity, and background but is also affected by global trends, such as economics, sustainability, and popular culture. Manufacturers and retailers look to predict and even influence these trends to gain an advantage in the 1.8 trillion dollar global clothing market.

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Population in million #	**	*.	.	.	*.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	*.	*.	.	.	.	.
Population, 0-14 Years in million #	.	.	.	.	.	.	.	.	.	*.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	*.	.	.	**	.	.	*.	*.	.	.	.
Population, 15-24 Years in million #	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.*	.*	.	.	.	.	.	.	.	*.	*.	.	.	.	.	.	.	.	.	*.	.	.
Population, 25-34 Years in million #	.*	.*	.*	.*	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.*	.*	.*	.*	*.	.	.	.	.	.	.	.	.
Population, 35-44 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	*	.*	.*	.	.*	.*	.*	.*	.*	.	.	.	.	.	.	.	.	.	*.	.	.	.	.	.	.	.	.	.	.*	.*	.*	.*
Population, 45-54 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.	*.	.	.	*.	*.	.	.	.	.
Population, 55+ Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	*.	.	.	.	.	.
Population, 0-4 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*	.*
Population, 5-9 Years in million #	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*
Population, 10-14 Years in million #	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.	.*
Population, 15-19 Years in million #	.*	.*	.*	.*	.	.	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*
Population, 20-24 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*
Population, 25-29 Years in million #	.*	.*	.*	.*	.	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*
Population, 30-34 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.	.*	.*	.*
Population, 35-39 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*
Population, 40-44 Years in million #	.*	.*	.*	.*	.*	.	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*
Population, 45-49 Years in million #	.*	.*	.	.*	.*	.*	.	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*
Population, 50-54 Years in million #	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*	.*
Population, 55-59 Years in thousand #	**.	**.	**.	**.	**.	***.	**.	**.	**.	***.	***.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.
Population, 60-64 Years in thousand #	**.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	***.	**.	**.	***.	**.	**.	**.	**.	**.	****	**.	**.	***.	**.	**.	**.	**.	***.	**.	**.	***.	**.	**.
Population, 65-69 Years in thousand #	**.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	***.	**.	***.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.
Population, 70-74 Years in thousand #	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	**.	*.	*.	*.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	***.	**.	**.	***.	**.	**.	***.	**.	**.
Population, 75-79 Years in thousand #	*.	*.	*.	*.	*.	**.	*.	*.	*.	*.	*.	*.	*.	**.	**.	**.	**.	***.	**.	*.	*.	*.	*.	*.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.	**.
Population, 80-84 Years in thousand #	*.	*.	**.	*.	*.	**.	**.	*.	*.	**.	*.	*.	*.	*.	*.	*.	*.	**.	*.	*.	**.	*.	*.	*.	*.	*.	**.	*.	*.	*.	*.	*.	**.	**.	***.	**.	**.	**.	**.	**.	**.
Population, 85-89 Years in thousand #	*.	*.	*.	*.	*.	*.	**.	**.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	**.	*.	**.	*.	*.	*.	*.	*.	**.	*.	*.	*.	*.
Population, 90-94 Years in thousand #	.	*.	.	.	.	.	.	.	.	.	.	**	.	.	.	.	.	.	*.	*.	*.	*.	.	.	.	.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.	*.
Population, 95-99 Years in thousand #	.	.	.	.	.*	.*	.*	.*	.	.	.*	.*	.*	.*	.*	.*	.*	.	.	.	.	.	*.	.	.	.	.	.	*.	.	.	.	.	.	*.	.	.	.	.	.	*.
Population, 100+ Years in #	***	***	***	***	****	****	****	****	***	***	***	***	***	****	****	****	****	***	***	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****	****

Apparel - Kazakhstan

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Apparel market worldwide - statistics & facts

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