The Large Cars Market segment includes family passenger cars of an average footprint around 4.30m2 (46 ft2), an average mass around 1640kg (3620lbs) and a passenger/cargo volume between 3.1 m3 and 3.4 m3 (110 ft3 and 119 ft3). All key figures shown represent the sales of new large cars in the basic configuration in the respective year. Used vehicles are not taken into account, nor is adapted equipment for the new cars sold. The prices and revenues shown as well as the distribution of connectivity, drive types, autonomy levels, and average CO2 emissions are accordingly based on the basic models.
Example models: Audi A4, BMW 3 Series, Citroën C5, Ford Mondeo, Honda Accord, Mazda 6, Mercedes-Benz C-Class, Opel Insignia, Opel Zafira, Škoda Superb, Subaru Forester, Subaru Outback, Toyota Avensis, Volkswagen Passat.
Most recent update: Oct 2024
Source: Statista Market Insights
Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
Most recent update: Mar 2024
The Large Cars market in Indonesia has been experiencing significant growth in recent years, driven by changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors.
Customer preferences: In Indonesia, customers have shown a growing preference for large cars due to their spaciousness, comfort, and status symbol. Large cars offer ample seating and cargo space, making them ideal for families and individuals who value convenience and luxury. Additionally, the rising middle class in Indonesia has led to an increase in disposable income, allowing more people to afford large cars.
Trends in the market: One of the key trends in the Large Cars market in Indonesia is the shift towards more fuel-efficient and environmentally friendly vehicles. With growing concerns about climate change and the rising cost of fuel, customers are increasingly looking for cars that offer better fuel efficiency and lower emissions. This trend has led to the introduction of hybrid and electric large cars in the Indonesian market. Another trend in the market is the increasing demand for advanced safety features in large cars. Customers are becoming more conscious of safety and are willing to pay extra for features such as adaptive cruise control, lane-keeping assist, and automatic emergency braking. Automakers are responding to this trend by incorporating these features into their large car models.
Local special circumstances: Indonesia has a unique set of circumstances that contribute to the development of the Large Cars market. The country's vast geography and poor infrastructure make large cars a practical choice for many Indonesians. These cars are better suited to handle the challenging road conditions and provide a comfortable ride, especially in rural areas. Additionally, the Indonesian government has implemented policies to promote the domestic automotive industry, including tax incentives and import restrictions. These policies have encouraged local production of large cars and have made them more affordable for Indonesian consumers.
Underlying macroeconomic factors: The growth of the Large Cars market in Indonesia is also influenced by underlying macroeconomic factors. The country's strong economic growth and increasing urbanization have contributed to the rise in disposable income and the expansion of the middle class. As a result, more Indonesians are able to afford large cars and are willing to spend on luxury and comfort. Furthermore, low interest rates and easy access to financing have made it easier for consumers to purchase large cars. Banks and financial institutions offer attractive loan packages, making it more affordable for customers to buy their desired large car models. In conclusion, the Large Cars market in Indonesia is developing due to changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. As customers in Indonesia increasingly prioritize comfort, status, and safety, the demand for large cars is expected to continue growing in the coming years.
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Notes: Level 0: No automation and very limited driver assistance in the form of automatic emergency braking or blind-spot warning. Level 1: Driver assistance such as cruise control or lane centering. Level 2: Partial automation, including brake and steering support. Level 3: Conditional automation in which the vehicle can perform most driving tasks. In certain scenarios, human intervention is still needed.
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2C enterprises. Figures are based on the sales of new passenger cars. Data on the specifications of the sold vehicles is based on the base models of the respective makes.Modeling approach:
Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, we use company reports and websites, vehicle registries, car dealers, and environment agencies among other sources. In addition, we use relevant key market indicators and data from country-specific associations, such as GDP and car stock per capita. This data helps us estimate the market size for each country individually.Forecasts:
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, we use the ARIMA model for the Passenger Cars market. The main drivers are GDP per capita and consumer spending per capita.Additional notes:
The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development).