Large SUVs

United States

(Core country: data based on in-depth analysis)

Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Large SUVs market segment amounts to US$167,018m in 2019.
  • From an international perspective it is shown that most revenue is generated in the United States (US$167,018m in 2019).
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The Large Sport Utility Vehicle Market segment includes light trucks, used as family vehicles, of an average footprint around 4.65m2 (50 ft2) and an average mass around 2185kg (4815lbs). While designed to be used on rough surfaces, SUVs are often used on city roads and highways.

  • European Car Segment: J (Sport Utility Cars – excluding Small SUVs)
  • US Car Segment: Large Sport Utility Vehicles
  • Chinese Car Segment: Sport Utility Vehicles
  • Also known as: Mid-size SUVs, Full-size SUVs, Large 4x4

Background:
Early SUVs originated form commercial repurposing of the military vehicles used around the Second World War, although those initial models were marketed as station wagons for over fifty years, before finally being called sport utility vehicles in the late 1980’s. In the USA, they rose to popularity at the end of the last century with two major factors influencing their increase in sales: firstly, EPA (United States Environmental Protection Agency) classified them as light trucks, changing how they are regulated in respect to fuel efficiency, and, secondly, American manufacturers, influenced by competitive prices of imported, smaller models, focused on a more profitable production of larger cars, driving prices of SUVs further down. After the financial crisis in the late 2000’s, sales of the SUVs slowed down, but the market still continues to grow steadily.

Example Models: BMW X5, Land Rover Discovery, Land Rover Range Rover, Volvo XC90.

in-scope
  • Large and Luxury SUVs
out-of-scope
  • Small and Compact SUVs
Large SUVs Report 2019

Large SUVs Report 2019

Statista Mobility Market Outlook - Segment Report
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Vehicle Sales by make (2019)
-1.0% yoy
3,619.3t
Revenue by make (2019)
-2.4% yoy
US$167,018m

Vehicle Sales by make

in the Large SUVs market in thousand vehicles

Reading Support Large SUVs unit sales are expected to reach 3,785.7t 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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Connected Cars Share

in the Large SUVs market in percent

Reading Support 87.28% of Large SUVs sold in 2019 are Connected.

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Connected Cars Share:

The Connected Cars box depicts the share of Passenger Cars in the selected market (market segment, make, region) which can be considered to be connected. A car is said to be a connected car if it is equipped with hardware which either enables internet connection, or enables the addition of devices which connect the car to the internet.

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

Just like in the Small SUVs segment, the Large SUVs sales share is expected to continue its growth while attracting more premium cars customers. The segments luxury entries, like Mercedes-Benz GLE for example, appeal to buyers looking for vehicles that are more than a means of transport; vehicles that are status symbols. 

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Revenue by make

in the Large SUVs market in million US$

Reading Support Revenue in the Large SUVs market segment amounts to US$167,018m 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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Average Price

in the Large SUVs market in US$

Reading Support The volume weighted average price of Large SUVs in 2019 is US$46,146.

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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 Large SUVs market in million US$

Reading Support With a market volume of US$167,018m in 2019, 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.

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
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, 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 data. The timeline has been stabilised for currency effects by using a constant exchange rate. | 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 data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Tax rates
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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: Statista, based on KPMG
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: Statista, based on KPMG
Mobility
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Cars per 1,000 capita
Number of passenger cars in the selected region in relation to the total population | Source: Statista, based on OICA
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
Rail lines in k km
Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks. | Source: Statista, based on World Bank
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
Pump price for gasoline / liter in US$
Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency using a constant exchange rate. | Source: Statista, based on World Bank, GIZ
Pump price for diesel fuel / liter in US$
Fuel prices refer to the pump prices of the most widely sold grade of diesel. Prices have been converted from the local currency using a constant exchange rate. | Source: Statista, based on World Bank, GIZ
Infrastructure
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Rail investment in % of GDP
Infrastructure investment covers spending on new transport construction and the improvement of the existing rail network. | Source: Statista, based on OECD
Road investment in % of GDP
Infrastructure investment covers spending on new transport construction and the improvement of the existing road network | Source: Statista, based on OECD
Airport investment in % of GDP
Infrastructure investment covers spending on new transport construction and the improvement of the existing airport network. | Source: Statista, based on OECD
Road maintenance in % of GDP
Infrastructure maintenance covers spending on preservation of the existing road network | Source: Statista, based on OECD
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
Tariff rate in %
Simple mean of applied tariff rates for all products in the selected region | Source: Statista, based on World Bank
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, June 2019
Source: Statista, June 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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