Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Luxury Leather Goods segment amounts to US$36,698m in 2019. The market is expected to grow annually by 4.5% (CAGR 2019-2023).
  • In global comparison, most revenue is generated in China (US$6,860m in 2019).
  • In relation to total population figures, per person revenues of US$4.98 are generated in 2019.
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Luxury Leather Goods cover handbags, suitcases and briefcases as well as small leather goods such as wallets. The market definition corresponds broadly to the segment Luggage and Bags of the Consumer Market Outlook’s Accessories section. The only difference is that Luxury Leather Goods only cover the luxury range.

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, leather 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 five most important players in this category are LVMH (with brands such as Louis Vuitton, Rimowa, Moynat and Loewe), Kering (Gucci, Saint Laurent, Bottega-Veneta and others), Coach, Michael Kors, Hermès and Tumi (which has been acquired by Samsonite but is still listed independently here).

Leather Goods have proven to be one the fastest-growing segments within the market for personal luxury goods and are projected to grow at rates above market average up to 2022.
in-scope
  • Luggage (e.g. suitcases and backpacks)
  • Bags (e.g. handbags)
  • Small leather goods (e.g. wallets)
  • Luxury segments and brands of the companies covered (see methodology for list)
out-of-scope
  • Protective bags and covers for electronic devices like notebooks or cameras
  • Artisanal and small-scale production unaffiliated with the covered companies (see methodology for list)
  • Artisanal and small-scale production unaffiliated with the covered companies (see methodology for list)
Luxury Goods Report 2019 – Luxury Leather Goods

Luxury Goods Report 2019 – Luxury Leather Goods

Statista Consumer Market Outlook - Segment Report
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Revenue (2019)
+5.2% yoy
US$36,698m
Average Revenue per Capita (2019)
+4.1% yoy
US$4.98

Revenue Revenue Growth

in the Luxury Leather Goods market in million US$ in percent

Reading Support Revenue in the Luxury Leather Goods segment amounts to US$36,698m in 2019. Reading Support The Luxury Leather Goods segment is expected to show a revenue growth of 6.2% 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 Leather Goods market in US$

Reading Support The average revenue per person in the segment for Luxury Leather Goods amounts to US$4.98 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 Leather Goods market in million US$

Reading Support With a market volume of US$6,860m in 2019, most revenue is generated in China.

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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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
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: Statista, based on UN DESA
Female population in m
Number of female individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects. | Source: Statista, based on UN DESA
0-4 years in m
Number of female individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
5-9 years in m
Number of female individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
10-14 years in m
Number of female individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
15-19 years in m
Number of female individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
20-24 years in m
Number of female individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
25-29 years in m
Number of female individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
30-34 years in m
Number of female individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
35-39 years in m
Number of female individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
40-44 years in m
Number of female individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
45-49 years in m
Number of female individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
50-54 years in m
Number of female individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
55-59 years in m
Number of female individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
60-64 years in m
Number of female individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
65-69 years in m
Number of female individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
70-74 years in m
Number of female individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
75-79 years in m
Number of female individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
80-84 years in m
Number of female individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
85-89 years in m
Number of female individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
90-94 years in m
Number of female individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
95-99 years in m
Number of female individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
100+ years in m
Number of female individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
Male population in m
Number of male individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
0-4 years in m
Number of male individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
5-9 years in m
Number of male individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
10-14 years in m
Number of male individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
15-19 years in m
Number of male individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
20-24 years in m
Number of male individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
25-29 years in m
Number of male individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
30-34 years in m
Number of male individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
35-39 years in m
Number of male individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
40-44 years in m
Number of male individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
45-49 years in m
Number of male individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
50-54 years in m
Number of male individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
55-59 years in m
Number of male individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
60-64 years in m
Number of male individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
65-69 years in m
Number of male individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
70-74 years in m
Number of male individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
75-79 years in m
Number of male individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
80-84 years in m
Number of male individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
85-89 years in m
Number of male individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
90-94 years in m
Number of male individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
95-99 years in m
Number of male individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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, based on IMF, UN, World Bank, Eurostat and national statistical offices
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: Statista, based on IMF WEOD
Foodstuffs, beverages
Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Alcohol, tobacco
Consumer price index for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Clothing, footwear
Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Housing
Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Household
Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Health
Consumer price index for health. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Transport
Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Communication
Consumer price index for communication. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Recreation, culture
Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Education
Consumer price index for education. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Restaurants, hotels
Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
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: Statista, based on IMF, national statistical offices
Tourism
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International tourism departures in m
Number of people from the selected region setting out to travel other countries for touristic purposes | Source: Statista, based on World Bank
International tourist arrivals in m
Number of visitors from abroad arriving in the selected region for touristic purposes | Source: Statista, based on World Bank
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: Statista, based on World Bank
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: Statista, based on World Bank
Finance
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Credit card penetration in %
Percentage of the total population who own at least one credit card | Source: Statista, based on World Bank
Debit card penetration in %
Percentage of the total population who own at least one debit card | Source: Statista, based on World Bank
Households in m
Total number of households in the selected region | Source: Statista
GDP (current) in US$
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: Statista, based on IMF WEOD
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: Statista, based on Credit Suisse
Source: Statista, September 2019
Source: Statista, September 2019, based on IMF, World Bank, UN and Eurostat

Methodology

The Luxury Leather Goods 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 Luxury Leather Goods industry.

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