Sports and Swimwear

in-scope

  • Track suits
  • Swimwear
  • Shorts

out-of-scope

  • Work clothes
  • Lifestyle apparel by sportswear brands
  • Minor special segments (functional clothing, cycling jerseys and similar products) that are subsumed under Other Clothes
Market definition

Highlights

Australia

Currency

  • Revenue in the Sports and Swimwear segment amounts to US$1,125m in 2018. The market is expected to grow annually by 1.8% (CAGR 2018-2021).
  • From an international perspective it is shown that most revenue is generated in the United States (US$12,881m in 2018).
  • In relation to total population figures, per person revenues of US$45.45 are generated in 2018.
Outlook Report

Sports and Swimwear

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Exclusive content

Revenue Revenue Growth

in the Sports and Swimwear market in million US$ in percent

Reading Support Revenue in the Sports and Swimwear segment amounts to US$1,125m in 2018. Reading Support The Sports and Swimwear segment is expected to show a revenue growth of 1.8% in 2019.

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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 US dollars 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 Sports and Swimwear market in US$

Reading Support The average revenue per person in the market for Sports and Swimwear amounts to US$45.45 in 2018.

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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 US dollars for each year.

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

in the Sports and Swimwear market in percent

Reading Support In the Apparel market, 15% of total revenue will be generated through online sales by 2021.

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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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Volume Volume Growth

in the Sports and Swimwear market in million pieces in percent

Reading Support In the market for Sports and Swimwear, volume is expected to amount to 71.87 m pcs. by 2021. Reading Support The market for Sports and Swimwear is expected to show a volume growth of 1.2% in 2019.

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Volume:

The “Volume” box shows the apparent consumption of the selected product (market segment, region) in millions for each year.

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

in the Sports and Swimwear market in pieces

Reading Support The average volume per person in the market for Sports and Swimwear amounts to 2.81 pieces in 2018.

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Average Volume per Capita:

The "Average Volume per Capita" box shows the average volume of the selected market (market segment, region) per person for each year.

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

in the Sports and Swimwear market in US$

Reading Support The average price per unit in the market for Sports and Swimwear amounts to US$16.18 in 2018.

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Price per Unit:

The "Price per Unit" box shows the average retail value per unit in the selected market (market segment, region) in US dollars 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 Sports and Swimwear market in million US$ in 2018

Reading Support With a market volume of US$12,881m in 2018, most revenue is generated in the 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 demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.

201420152016201720182019202020212022 CAGR
(2014-2022)
Population in m
Number of individuals (all ages) living in the selected region
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
0-15 years in m
Number of individuals (age 0-15) living in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x x.x
16-24 years in m
Number of individuals (age 16-24) living in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x x.x
25-34 years in m
Number of individuals (age 25-34) living in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x x.x
35-44 years in m
Number of individuals (age 35-44) living in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x x.x
45-54 years in m
Number of individuals (age 45-54) living in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x x.x
55+ years in m
Number of individuals (age 55 and older) living in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Consumer Spending / Capita in US$
Consumer Spending per Capita in the selected region
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Inflation in %
Year-over-year change of consumer prices. The data reflects the forecast of the IMF for a weighted basket of goods and services. The detailed forecasts for food, clothing etc. shown below were done independently by Statista and are not matched to this weighted average.
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Alcohol and Tobacco in %
Year-over-year change of consumer prices for alcoholic beverages, tobacco and narcotics
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Clothing and Footwear in %
Year-over-year change of consumer prices for clothing and footwear
-x.x -x.x -x.x -x.x x.x x.x x.x x.x x.x
Housing, Water, Energy in %
Year-over-year change of consumer prices for housing, water, electricity, gas and other fuels
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Household Equipment and Operation in %
Year-over-year change of consumer prices for furnishings, household equipment and routine maintenance of the house
x.x x.x x.x -x.x x.x x.x x.x x.x x.x
Health in %
Year-over-year change of consumer prices for health
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Transport in %
Year-over-year change of consumer prices for transport (purchase of vehicles, maintenenace of vehicles and transport services)
x.x -x.x -x.x x.x x.x x.x x.x x.x x.x
Communication in %
Year-over-year change of consumer prices for communication
-x.x -x.x -x.x -x.x x.x x.x x.x -x.x -x.x
Recreation and Culture in %
Year-over-year change of consumer prices for recreation and culture
x.x -x.x x.x x.x x.x x.x x.x x.x x.x
Education in %
Year-over-year change of consumer prices for education
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Restaurants and Hotels in %
Year-over-year change of consumer prices for restaurants and hotels
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Other Goods and Services in %
Year-over-year change of consumer prices 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.
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Price Level (U.S.=100)
Estimated price level index for all goods and services in the economy (level of GDP, U.S.=100). Data has been extrapolated from the last 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 2016. Numbers above 100 signal that prices are on average higher in this country than in the U.S., numbers below would mean prices in this are on average lower than in the U.S..
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Food
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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Alcohol and 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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Clothing and 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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xx.x xx.x xx.x xx.x
Housing, Water, Energy
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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Household Equipment and Operation
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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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 the average exchange rate for 2016.
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 the average exchange rate for 2016.
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Recreation and 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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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 the average exchange rate for 2016.
xx.x xx.x xx.x xx.x xx.x xx.x xxx.x xxx.x xxx.x
Restaurants and 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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Other Goods and Services
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 the average exchange rate for 2016.
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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 2016.
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Tourism
Pfeil klicken zum Ausklappen
Tourisms contribution to GDP in %
Tourism industry's contribution as % of total GDP
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Tourism outbound trips in m
Number of departing trips abroad with tourism focus
x.x x.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Tourism inbound trips in m
Number of arriving trips abroad with tourism focus
x.x x.x x.x x.x x.x xx.x xx.x xx.x xx.x
Households in m
Total number of households in the selected region
x.x x.x x.x x.x x.x x.x x.x x.x xx.x
GDP / Capita in US$
Gross domestic product of the selected region in relation to the total population
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Source: Statista, April 2018
Source: Statista, April 2018, based on IMF, World Bank, UN and Eurostat
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