Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Luxury Cars market segment amounts to US$6,527m in 2019.
  • From an international perspective it is shown that most revenue is generated in United States (US$7,283m in 2019).
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The Luxury Cars Market segment includes passenger cars of an average footprint around 5m2 (54 ft2), an average mass around 2200kg (4850lbs) and a passenger/cargo volume larger than 3.4 m3 (120 ft3). Models of this market are also characterized by their high price. There are numerous companies that produce exclusively for this market.

  • European Car Segment: F (Luxury Cars)
  • US Car Segment: Large Cars
  • Chinese Car Segment: Category B
  • Also known as: Full-size Luxury Cars, High-end Luxury Cars, Oberklasse

Background:
The Luxury Cars Market existed as long the automotive industry, with manufacturers offering their premium models to the upper economic class. Initially dominated by European and American companies, the market structure changed significantly in the 1990’s when the Japanese manufactures Honda, Toyota and Nissan launched their luxury brands Acura, Lexus and Infinity, respectively.
In general, the market for Luxury Cars is highly influenced by the distribution of wealth within a country / region and shows high se
nsitivity to recession periods.

Example Models: Audi A8, BMW 7 Series, Jaguar XJ, Mercedes-Benz S-Class, Porsche Panamera.

in-scope
  • Passenger cars - Luxury cars
  • Ulta-luxury cars
out-of-scope
  • Premium Compact and Executive cars
  • Luxury SUVs/Crossover cars
Luxury Cars Report 2019

Luxury Cars Report 2019

Statista Mobility Market Outlook - Segment Report
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Vehicle Sales by make (2019)
+2.8% yoy
59.6t
Revenue by make (2019)
+4.6% yoy
US$6,527m

Vehicle Sales by make

in the Luxury Cars market in thousand vehicles

Reading Support Luxury Cars unit sales are expected to reach 67.0t in 2023.

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Vehicle Sales:

The box shows vehicle sales of the selection (market segment, region, make) for each year.

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

in the Luxury Cars market in million US$

Reading Support Revenue in the Luxury Cars market segment amounts to US$6,527m in 2019.

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Revenue:

The box shows the forecasted revenue development of the selection (market segment, region, make).

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

The Luxury Cars segment is influenced by the distribution of wealth within a country or region, and generally follows economic trends. What this means is that sales, therefore revenue is affected by recession periods. In addition, ownership of a luxury car is seen as a status symbol, and their high price tags dictate how many can be bought, and by whom. Bentley, Cadillac, Lincoln, Mercedes-Maybach, Porsche and Rolls-Royce will continue driving sales in this segment. 

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Average Price

in the Luxury Cars market in US$

Reading Support The volume weighted average price of Luxury Cars in 2019 is US$109,478.

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Price per Unit:

The "Price per Unit" box shows the volume weighted average price per car in the selected market (market segment, region, make) 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 Cars market in million US$

Reading Support With a market volume of US$7,283m 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 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.

2014201520162017201820192020202120222023 CAGR
(2014-2023)
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
0-14 years in m
Number of individuals (age 0-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
15-24 years in m
Number of individuals (age 15-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
25-34 years in m
Number of individuals (age 25-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
35-44 years in m
Number of individuals (age 35-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
45-54 years in m
Number of individuals (age 45-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
55+ years in m
Number of individuals (age 55 and older) 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
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
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
Mobility
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Passenger km (road) in pkm
Total movement of passengers on roads using inland transport on a given network. Data are expressed in passenger-kilometres per-capita, which represents the transport of each one passenger on a distance of one kilometre. | Source: Statista, based on OECD
Passenger km (rail) in pkm
Total movement of passengers by rail using inland transport on a given network, data are expressed in passenger-kilometres per capita, which represents the transport of each one passenger on a distance of one kilometre | Source: Statista, based on OECD
Air passengers in m
Number of passengers carried by air transport in the selected region | Source: Statista, based on ICAO, World Bank
International trade
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Trade (% of GDP) in %
Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD
Households in m
Total number of households in the selected region | Source: Statista
Urban population share in %
Share of population in the selected region living in urban areas | Source: Statista, based on World Bank
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
Source: Statista, August 2019
Source: Statista, August 2019, based on IMF, World Bank, UN and Eurostat

Methodology

We collect over 32 million data points from various sources, including but not limited to company reports and websites, vehicle registries, car dealers, and environment agencies. The data is modelled and forecasted using machine learning techniques in combination with the experience and knowledge of a team of international analysts, in order to produce the best market estimates and predictions. 

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