Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Minivans market segment amounts to US$79,558m in 2019.
  • From an international perspective it is shown that most revenue is generated in China (US$41,089m in 2019).
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The Minivans Market segment includes passenger cars of an average footprint around 4.25m2 (46 ft2) and an average mass around 1600kg (3500lbs), with their roofs extended in the back in order to prioritize their passenger and cargo volume (up to 3.7 m3 or 130 ft3). Some of their distinct features include sliding doors, three rows of seats and a passenger car base.

  • European Car Segment: M (Multi-Purpose Cars – excluding vans)
  • US Car Segment: MPV, Minivan
  • Chinese Car Segment: Multi-Purpose Vehicles
  • Also known as: MPV, Multi-Purpose Cars, People Carrier

Background:
Although different variants of minivans existed ever since the 1930’s, their design changed drastically over the years and until finally settling into the one we know today in the late 1960’s. Many predecessors spin-offed into their own car classes, like camper vans and pick-up trucks, while minivans found their ground in early 1980’s replacing station wagons as the new family cars.
This market segment continued to flourish until the financial crisis of the late 2000s, after which many minivan models started to be reimagined as small SUVs, following new market trends towards Sports Utility Vehicles.

Example Models: Citroën C3 Picasso, Citroën C4 Picasso, Mazda 5, Peugeot 5008, Peugeot 807, Toyota Verso.

in-scope
  • Passenger cars - Minivans
out-of-scope
  • Cargovans and Minibuses
  • Pickup trucks
Minivans Report 2019

Minivans Report 2019

Statista Mobility Market Outlook - Segment Report
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Vehicle Sales by make (2019)
-1.7% yoy
3,062.7k
Revenue by make (2019)
-4.4% yoy
US$79,558m

Vehicle Sales by make

in the Minivans market in thousand vehicles

Reading Support Minivans unit sales are expected to reach 2,540.5k 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 Minivans market in million US$

Reading Support Revenue in the Minivans market segment amounts to US$79,558m 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 role of Minivans as multipurpose vehicles specialized in people transport is slowly being usurped by large SUVs which offer an additional row of seats in the back. The market is still performing strongly in Asian markets, where many local companies are investing in electric MPVs. However, we expect a slow decline in the market as new shared mobility services become available. 

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Average Price

in the Minivans market in US$

Reading Support The volume weighted average price of Minivans in 2019 is US$25,976.

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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 Minivans market in million US$

Reading Support With a market volume of US$41,089m in 2019, most revenue is 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 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, September 2019
Source: Statista, September 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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