Highlights
Market definition
in-scope / out-of-scope
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  • Revenue in the Executive Cars market segment is projected to reach US$81,473m in 2020.
  • From an international perspective it is shown that most revenue will be generated in China (US$26,655m in 2020).
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The Executive Cars Market segment includes passenger cars of an average footprint around 4.6m2 (50 ft2), an average mass around 1855kg (4100lbs) and a passenger/cargo volume larger than 3.4 m3(120 ft3). Due to their high performance and comfort features, executive cars are often viewed as status symbols. A high share of the Executive Cars market consists of company cars.

  • European Car Segment: E (Executive Cars)
  • US Car Segment: Large Cars
  • Chinese Car Segment: Category B
  • Also known as: Full-size Cars, Mid-size Luxury Cars

Background:
As automobiles grew in size in the 1950’s, so did their prices rise to accommodate the cost causing a new type of vehicle to emerge. The term “Executive Cars” started to be used in 1960’s to describe large, expensive cars which target consumers who comprised largely of upper-middle class: mid-senior and senior managers, as well as other successful professionals. Due to a growth of large (family cars), fuel efficacy and other factors, many manufactures stopped producing executive cars in the 1990’s and allocated their efforts in other market segments.

Example Models: Audi A6, BMW 5 Series, Jaguar XF, Peugeot 607, Saab 9-5, Volvo S80.

in-scope
  • Passenger cars - Executive cars
  • Premium executive cars
out-of-scope
  • -
Executive Cars Report 2020

Executive Cars Report 2020

Statista Mobility Market Outlook - Segment Report
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Vehicle Sales by make (2020)
-17.4% yoy
1,664.9t
Revenue by make (2020)
-18.1% yoy
US$81,473m

Vehicle Sales by make

in the Executive Cars market in thousand vehicles

Reading Support Executive Cars unit sales are expected to reach 1,343.5t in 2023.

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Vehicle Sales:

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

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Revenue by make

in the Executive Cars market in million US$

Reading Support Revenue in the Executive Cars market segment is expected to reach US$81,473m in 2020.

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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

In the last decades, German brands, like Audi, BMW and Mercedes-Benz, have consistently dominated the Executive Cars segment. Although there are new players in the market today, this dominance would continue for the next few years. Sales will continue to be propelled by consumers in the upper-middle class: mid-senior and senior managers, as well as other successful professionals. Though they might cost a bit more than your average car, executive cars offer a touch of class and comfort to your driving experience. 

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Average Price

in the Executive Cars market in US$

Reading Support The volume weighted average price of Executive Cars in 2020 is expected to amount to US$48,937.

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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 Executive Cars market in million US$

Reading Support With a projected market volume of US$26,655m in 2020, most revenue will be 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.

2014201520162017201820192020202120222023 CAGR
(2014-2023)
Population in m
Number of individuals (all ages) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
0-14 years in m
Number of individuals (age 0-14) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
15-24 years in m
Number of individuals (age 15-24) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
25-34 years in m
Number of individuals (age 25-34) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
35-44 years in m
Number of individuals (age 35-44) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
45-54 years in m
Number of individuals (age 45-54) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
55+ years in m
Number of individuals (age 55 and older) living in the selected region, the data is based on the United Nations' medium variant of World Population Prospects as well as similar projections by national statistical offices | Source: Statista, based on UN DESA and national statistical offices
Consumer spending, per capita (current prices)
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
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
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 last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Transport
Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 and exchange rate data . The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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
The indicator shows the total number of private households in the selected region. Households denote residential communties of people living and keeping house together. Business facilities as well as institutional housholds (like unversity dormitories or retire homes) are not counted as households. | Source: Statista, based on national and international statistical offices
Urban population share in %
Estimated share of the total population in the selected region living in urban areas | Source: Statista, based on UN DESA and national statistical offices
GDP, per capita (current prices)
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: Statista, based on IMF, World Bank, European Commission, OECD, ADB
Source: Statista, September 2020
Source: Statista, September 2020, 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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For the Executive Cars market, our analysts create reports with detailed comparisons and important background information. Get an overview of trends and key players and consult comparisons of the focus regions USA, China, and Europe.

  • All the important data on the Executive Cars market, including market size and forecasts
  • Comparison of key regions and countries
  • Detailed information about manufacturers