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Car-sharing - Japan

Japan

The Car-sharing market in Japan is expected to see a significant surge in revenue, with a projected value of €0.66bn in 2024.
This growth is anticipated to continue, with an estimated Compound Annual Growth Rate (CAGR) of 2.31% from 2024 to 2029, resulting in a projected market volume of €0.74bn by 2029.
During this period, the number of Car-sharing market users is also expected to increase, reaching 2.72m users by 2029, with a projected user penetration rate of 2.3%, up from 2.1% in 2024.
The average revenue per user (ARPU) is expected to maintain a steady value of €251.90 across the analyzed period.
Furthermore, by 2029, 99% of the Car-sharing market's total revenue is expected to be generated through online sales.
It is noteworthy that, in comparison to their global counterparts, United States is projected to generate the most revenue in the Car-sharing market, with an estimated value of €2,769m in 2024.
Despite a slow start, car-sharing is gaining popularity in Japan as urban dwellers seek more cost-effective and sustainable transportation options.

Key regions: Europe, Germany, India, United States, Malaysia

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Analyst Opinion

The Car-sharing market in Japan has been experiencing significant growth in recent years.

Customer preferences: One of the main reasons for the growth of the Car-sharing market in Japan is the changing preferences of customers. Japanese consumers are increasingly seeking convenient and flexible transportation options. Car-sharing provides them with the freedom to use a car when needed, without the hassle of owning one. This is particularly appealing to younger generations who prioritize experiences over ownership.

Trends in the market: The Car-sharing market in Japan is also being driven by technological advancements. The rise of mobile applications and GPS tracking systems has made it easier for customers to locate and book available cars. Additionally, the integration of electric vehicles into car-sharing fleets has gained popularity due to the environmental consciousness of Japanese consumers.

Local special circumstances: Japan's highly developed public transportation system is another factor contributing to the growth of the Car-sharing market. While public transportation is efficient and widely used, there are still situations where a car is more convenient, such as traveling to rural areas or carrying heavy items. Car-sharing fills this gap and provides a convenient solution for those who need occasional access to a car.

Underlying macroeconomic factors: The Car-sharing market in Japan is also influenced by macroeconomic factors. The country's aging population and declining birth rate have resulted in a decrease in the number of young people obtaining driver's licenses and purchasing cars. This demographic shift has created a demand for alternative transportation options, such as car-sharing. Additionally, the high cost of car ownership in Japan, including insurance, parking fees, and maintenance costs, has made car-sharing an attractive and cost-effective alternative for many consumers. In conclusion, the Car-sharing market in Japan is growing due to changing customer preferences, technological advancements, the need for convenient transportation options, and macroeconomic factors such as an aging population and the high cost of car ownership. As these trends continue, it is likely that the Car-sharing market in Japan will continue to expand in the coming years.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car-sharing services.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, third-party studies and reports, federal statistical offices, industry associations, and price data. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as demographic data, GDP, consumer spending, internet penetration, and device usage. 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, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, the S-curve function and exponential trend smoothing methods are applied.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.