Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Large SUVs market segment amounts to US$44,188m in 2019.
  • From an international perspective it is shown that most revenue is generated in United States (US$121,526m in 2019).
Show more

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
Passenger Cars Report 2017 - Large SUVs

Passenger Cars Report 2017 - Large SUVs

Statista Consumer Market Outlook - Segment Report
Download
Revenue (2019)
+12.7% yoy
US$44,188m
Volume (2019)
+7.3% yoy
549.7 t cars

Revenue

in the Large SUVs market in million US$

Reading Support Revenue in the Large SUVs market segment amounts to US$44,188m in 2019.

PNG Download XLS Download
Info

Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region).

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

Volume

in the Large SUVs market in thousand cars

Reading Support In the market for Large SUVs, volume is expected to amount to 692.2 t cars by 2023.

PNG Download XLS Download
Info

Volume:

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

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

Price per unit

in the Large SUVs market in US$

Reading Support The average price per unit in the market for Large SUVs amounts to US$80,389 in 2019.

PNG Download XLS Download
Info

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.
×

Global Comparison - Revenue

in the Large SUVs market in million US$

Reading Support With a market volume of US$121,526m in 2019, most revenue is generated in United States.

PNG Download XLS Download
Info

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.
×
XLS Download

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, 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
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xx.x xx.x xx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Mobility
Click arrow to expand
Cars per 1,000 capita
Number of passenger cars in the selected region in relation to the total population. | Source: OICA, Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Passenger km (car) in k pkm
Average distance travelled by car per-capita in the selected region | Source: OECD, 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
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: OECD, Statista
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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: OECD, Statista
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Rail lines in km
Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks. | Source: World Bank, Statista
xxx,xxx xxx,xxx xxx,xxx xxx,xxx xxx,xxx xxx,xxx xxx,xxx xxx,xxx xxx,xxx
Air passengers in m
Number of passengers carried by air transport | Source: World Bank, Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x x,xxx.x x,xxx.x
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: GIZ, World Bank, IMF, Statista
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
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: GIZ, World Bank, IMF, Statista
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Households in m
Total number of households in the selected region. | Source: Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Urban population share in %
Share of population in the selected region living in urban areas | Source: World Bank, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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
Source: Statista, May 2019
Source: Statista, May 2019, based on IMF, World Bank, UN and Eurostat

These markets could also be of interest to you

Discover other market segments and categories related to your topic