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Bike-sharing - Japan

Japan

Japan is projected to reach a revenue of €17.58m in the Bike-sharing market by 2024.
This market is expected to show an annual growth rate (CAGR 2024-2029) of 3.08%, resulting in a projected market volume of €20.46m by 2029.
Furthermore, the number of users in the Bike-sharing market is expected to amount to 0.79m users by 2029.
By 2024, user penetration is projected to be 0.6%, which will increase to 0.7% by 2029.
The average revenue per user (ARPU) is expected to amount to €23.18.
Also, in the Bike-sharing market, it is projected that 95% of total revenue will be generated through online sales by 2029.
It is worth noting that in global comparison, China is expected to generate the most revenue (€5,114m in 2024) in this market.
Japan's bike-sharing market is thriving, with major players like Docomo Bike Share and Hello Cycling expanding their services nationwide.

Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia

Definition:

The Bike-sharing market includes short-term bike-sharing services. In bike-sharing services, bicycles are generally owned by a bike-sharing provider and are independently reserved by customers around the clock. Customers are required to open an account with the bike-sharing provider and can then reserve bicycles. This is usually done with a smartphone app, but there are also service providers that allow reservations to be made via the provider's website, by telephone, or at a terminal.

The two most frequently used bike-sharing varieties are the following: station-based (e.g., Stadtrad and Citi Bike New York) and free-floating (such as nextbike and ofo). With station-based bike-sharing, a bicycle is retrieved from a bike-sharing station and returned to either the same station or dropped off at another station. With free-floating bike-sharing, it is possible to find bicycles everywhere within the service provider's business zone and leave the bicycle anywhere in accordance with traffic regulations. Peer-to-peer bike-sharing is not included in the market definition of this market. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.

Additional Information:

The main performance indicators of the Bike-sharing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Marché

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Comparaison de régions

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Analyst Opinion

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

Customer preferences: One of the main reasons for the growth of the Bike-sharing market in Japan is the increasing preference for eco-friendly transportation options. With growing concerns about environmental sustainability, more and more people are opting for greener modes of transportation. Bike-sharing provides a convenient and affordable solution for short-distance travel, making it an attractive option for commuters and tourists alike.

Trends in the market: Another trend driving the growth of the Bike-sharing market in Japan is the rise of smart cities. As cities become more connected and technologically advanced, bike-sharing services are being integrated into the urban infrastructure. This allows users to easily locate and unlock bikes using mobile apps, making the process more efficient and user-friendly. Additionally, the availability of electric bikes in some bike-sharing programs has further enhanced their appeal, as they provide a faster and more effortless riding experience.

Local special circumstances: Japan's compact and well-developed urban areas provide an ideal environment for bike-sharing. The country's extensive network of bicycle lanes and parking facilities makes it easy for users to navigate and park their bikes. Furthermore, Japan's culture of cleanliness and respect for public property ensures that the bikes are well-maintained and not subject to vandalism or theft. These factors contribute to a positive user experience and encourage more people to use bike-sharing services.

Underlying macroeconomic factors: The growth of the Bike-sharing market in Japan is also influenced by macroeconomic factors. The government's push for sustainable transportation solutions and efforts to reduce carbon emissions have created a favorable environment for bike-sharing companies. Additionally, the increasing number of tourists visiting Japan has contributed to the demand for bike-sharing services, as tourists seek convenient and affordable ways to explore the country's cities and attractions. In conclusion, the Bike-sharing market in Japan is experiencing significant growth due to customer preferences for eco-friendly transportation, the integration of bike-sharing into smart cities, the country's favorable infrastructure and cultural factors, and the support of the government and the increasing number of tourists. These factors combined create a conducive environment for the expansion and development of the Bike-sharing market in Japan.

Methodology

Data coverage:

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