Market directory
Market Luxury Eyewear
Location worldwide
Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Luxury Eyewear segment amounts to US$18,377m in 2019. The market is expected to grow annually by 0.6% (CAGR 2019-2022).
  • In global comparison, most revenue is generated in United States (US$8,495m in 2019).
  • In relation to total population figures, per person revenues of US$2.50 are generated in 2019.
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Luxury Eyewear is comprised of eyewear frames and sunglasses. The overall market definition follows the Consumer Market Outlook’s Eyewear market, while here only the super-premium to luxury price range is considered, and lenses and contact lenses are excluded. In comparison to the luxury core categories of Leather Goods and Watches and Jewelry, Luxury Eyewear is comparatively affordable with designer eyewear providing an entry way for many consumers into the world of luxury brands.

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. Sales by 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.

Italy’s vertically integrated Luxottica is the biggest player in Luxury Eyewear. Apart from owned brands like Ray Ban and Oakley, sales of licensed brands are a main source of revenue for Luxottica. Among others, it holds licenses for Armani, Burberry, Dolce & Gabbana, Polo Ralph Lauren, Prada and Tiffany.
in-scope
  • Designer eyewear (frames and sunglasses)
  • Luxury segments and brands of the companies covered (see methodology for list)
out-of-scope
  • Lenses and contact glasses
  • Artisanal and small-scale production unaffiliated with the covered companies (see methodology for list)
Luxury Report 2018 – Luxury Eyewear

Luxury Report 2018 – Luxury Eyewear

Statista Consumer Market Outlook - Segment Report
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Revenue (2019)
+0.2% yoy
US$18,377m
Average Revenue per Capita (2019)
-0.8% yoy
US$2.50

Revenue Revenue Growth

in the Luxury Eyewear market in million US$ in percent

Reading Support Revenue in the Luxury Eyewear segment amounts to US$18,377m in 2019. Reading Support The Luxury Eyewear segment is expected to show a revenue growth of 0.3% 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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Competitive Landscape

in the Luxury Eyewear market in percent

Reading Support Products of brands held by Luxottica amount to an estimated 77.8% of the Luxury Goods market in the selected segment and region in 2019.

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Revenue:

The “Revenue” box shows the forecasted development of the value of the selected market (market segment, region) at retail prices in millions of the selected currency for each year.

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

in the Luxury Eyewear market in US$

Reading Support The average revenue per person in the market for Luxury Eyewear amounts to US$2.50 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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Sales Channels

in the Luxury Eyewear market in percent

Reading Support In the Luxury Goods market, 17% of total revenue will be generated through online sales by 2022.

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Sales Channels:

The distribution channel Online refers to the purchase of physical goods in online retail. In other words, the purchase is concluded via the internet - on a desktop PC, tablet or smartphone. The distribution channel Offline covers all purchases in stationary stores, via telesale or mailorder (e.g. print catalogs)

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

in the Luxury Eyewear market in million US$

Reading Support With a market volume of US$8,495m 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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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
xxx.x xxx.x xxx.x xxx.x xxx.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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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
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) that are valued at wholesale prices. | Source: Statista
xxx xxx xxx x,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) that are valued at wholesale prices. | Source: Statista
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
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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
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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
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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
xxx 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
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
xxx xxx 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
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
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 xx.x xx.x xx.x xx.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
Price level (U.S.=100)
Estimated price level index for all goods and services for individual private consumption (U.S.=100). Data has been extrapolated from the latest iteration of the World Bank's International Comparison Program (2011) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2017. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S.. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Foodstuffs, beverages
Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Alcohol, tobacco
Estimated price level index for alcoholic beverages, tobacco and narcotics (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Clothing, footwear
Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Housing
Estimated price level index for housing, water, electricity, gas and other fuels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Household
Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xxx.x xxx.x
Health
Estimated price level index for health (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Transport
Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Communication
Estimated price level index for communication (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Recreation, culture
Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Education
Estimated price level index for education (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Restaurants, hotels
Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Other
Estimated price level index for other goods and services (U.S.=100). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Price of a Big Mac in US$
The price of a Big Mac at McDonald's has been introduced by the Economist in 1986 as an illustrative example to compare price levels between countries. The prices have been converted from Local Currency Units (LCU) using the average exchange rate of 2017. | Source: Economist, Statista
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Tax rates
Click arrow to expand
Sales tax rate in %
Displayed is the standard rate. Due to local sales taxes, the overall tax rate may vary within the country. Likewise, for some product groups and services different rates might apply. | Source: Statista
xx xx xx xx xx xx xx xx xx
Corporate tax rate in %
Displayed is the typical rate for corporate income. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista
xx xx xx xx xx xx xx xx xx
Personal income tax rate in %
Displayed is the top marginal tax rate. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista
xx xx xx xx xx xx xx xx xx
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: World Bank, Statista
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
International tourist arrivals in m
Number of visitors from abroad arriving in the selected region for touristic purposes | Source: World Bank, Statista
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
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 but for currency effects. | Source: World Bank, Statista
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
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 but for currency effects. | Source: World Bank, Statista
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
Households in m
Total number of households in the selected region. | Source: Statista
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
GDP (current) in US$
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: IMF
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,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
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Source: Statista, March 2019
Source: Statista, March 2019, based on IMF, World Bank, UN and Eurostat