Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Luxury Fashion segment amounts to US$25,211m in 2019. The market is expected to grow annually by 1.4% (CAGR 2019-2023).
  • The market's largest segment is the segment Luxury Apparel with a market volume of US$17,572m in 2019.
  • In global comparison, most revenue is generated in United States (US$25,046m in 2019).
  • In relation to total population figures, per person revenues of US$6.09 are generated in 2019.
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The Luxury Fashion segment includes Luxury Apparel and Footwear. The overall definition of this segment follows the Consumer Market Outlook’s Apparel and Footwear markets, while here only sales of luxury brands are considered, and mass-market products are excluded.

Fashion constitutes the bulk of sales in the global personal luxury goods industry and has a healthy growth outlook over the next five years.

The shown market data are based on an analysis of more than 100 of the biggest luxury companies in the world. A complete list of all companies and brands covered can be found in the methodology description. Accordingly, fashion goods from smaller companies or artisanal production unaffiliated with the companies covered are not included. All data are shown at retail value, which includes markups for retail distribution and sales taxes.

The most notable companies are LVMH (with brands such as Louis Vuitton, Fendi or Loro Piana), Kering (Gucci, Balenciaga, Saint Laurent and other brands), Ralph Lauren and PVH (Calvin Klein, Tommy Hilfiger).
in-scope
  • Apparel (Ready-to-Wear, Prêt-à-porter)
  • Footwear
  • Clothing accessories (gloves, neckwear, belts, hats and caps etc.)
  • Luxury segments and brands of the companies covered (see methodology for list)
out-of-scope
  • Leather goods (bags and luggage)
  • Artisanal and small-scale production unaffiliated with the covered companies (see methodology for list)
Luxury Report 2019 – Luxury Fashion

Luxury Report 2019 – Luxury Fashion

Statista Consumer Market Outlook - Segment Report
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Revenue (2019)
+2.4% yoy
US$25,211m
Average Revenue per Capita (2019)
+1.5% yoy
US$6.09

Revenue Revenue Growth

in the Luxury Fashion market in million US$ in percent

Reading Support Revenue in the Luxury Fashion segment amounts to US$25,211m in 2019. Reading Support The Luxury Fashion segment is expected to show a revenue growth of 1.5% in 2020.

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  • Revenue
  • Revenue Growth
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Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) in million of the selected currency for each year.


Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.
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Average Revenue per Capita

in the Luxury Fashion market in US$

Reading Support The average revenue per person in the segment for Luxury Fashion amounts to US$6.09 in 2019.

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Average Revenue per Capita:

The "Average Revenue per Capita" box shows the average market value of the selected market (market segment, region) per person in the selected currency for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Global Comparison - Revenue

in the Luxury Fashion market in million US$

Reading Support With a market volume of US$25,046m in 2019, most revenue is generated in United States.

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Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
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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.

201520162017201820192020202120222023 CAGR
(2015-2023)
Population in m
Number of individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x
0-4 years in m
Number of individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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5-9 years in m
Number of individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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10-14 years in m
Number of individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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15-19 years in m
Number of individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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20-24 years in m
Number of individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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25-29 years in m
Number of individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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30-34 years in m
Number of individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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35-39 years in m
Number of individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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40-44 years in m
Number of individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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45-49 years in m
Number of individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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50-54 years in m
Number of individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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55-59 years in m
Number of individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
60-64 years in m
Number of individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
65-69 years in m
Number of individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
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70-74 years in m
Number of individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xx.x xx.x xx.x xx.x xx.x xxx.x xxx.x xxx.x xxx.x
75-79 years in m
Number of individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
80-84 years in m
Number of individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
85-89 years in m
Number of individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
90-94 years in m
Number of individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
x.x x.x x.x x.x x.x x.x x.x x.x x.x
95-99 years in m
Number of individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
x.x x.x x.x x.x x.x x.x x.x x.x x.x
100+ years in m
Number of individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Consumer spending (current) in US$
Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista Research
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Foodstuffs, beverages in US$
Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista Research
xxx xxx xxx xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Alcohol, tobacco in US$
Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Clothing, footwear in US$
Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista Research
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Housing in US$
Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
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Household in US$
Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
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Health in US$
Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
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Transport in US$
Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista Research
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Communication in US$
Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
xx xxx xxx xxx xxx xxx xxx xxx xxx
Recreation, culture in US$
Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Education in US$
Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
xx xx xxx xxx xxx xxx xxx xxx xxx
Restaurants, hotels in US$
Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Other in US$
Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Consumer price index (CPI)
Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: IMF, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Foodstuffs, beverages
Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Alcohol, tobacco
Consumer price index for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Clothing, footwear
Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Housing
Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Household
Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Health
Consumer price index for health. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Transport
Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Communication
Consumer price index for communication. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xxx.x xxx.x xxx.x xx.x xxx.x xxx.x xxx.x xxx.x xx.x
Recreation, culture
Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Education
Consumer price index for education. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Restaurants, hotels
Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Other
Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Tourism
Click arrow to expand
International tourism departures in m
Number of people from the selected region setting out to travel other countries for touristic purposes | Source: UNWTO, World Bank, Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
International tourist arrivals in m
Number of visitors from abroad arriving in the selected region for touristic purposes | Source: UNWTO, World Bank, Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
International tourism expenditure in billion US$
International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. Domestic tourism expenditures are therefore not inlcuded. The data is not adjusted for inflation or currency effects. | Source: UNWTO, World Bank, Statista
xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x
International tourism receipts in billion US$
International tourism receipts denote expenditures by inbound tourists from other countries in the selected region. Receipts from domestic tourism are not included. The data is not adjusted for inflation or currency effects. | Source: UNWTO, World Bank, Statista
xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x
Households in m
Total number of households in the selected region. | Source: Statista Research
xxx.x xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x
GDP (current) in US$
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: IMF, Statista
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
HNWI in k
Number of High Net Worth Individuals (HNWI) in the selected region. HNWI are private persons with investible assets of at least 1 million US-Dollars (here based on the current exchange rate of the LCU versus the US-Dollar of each respective year). | Source: Credit Suisse, Statista
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Source: Statista, June 2019
Source: Statista, June 2019, based on IMF, World Bank, UN and Eurostat