Shared Mobility - Japan

Japan

It is projected that the revenue in the Shared Mobility market of Japan will reach €40,400.00m by 2024.
The market is expected to show an annual growth rate (CAGR 2024-2028) of 2.57%, leading to a projected market volume of €44,720.00m by 2028.
Flights represent the largest of the Shared Mobility markets, with a projected market volume of €15,640.00m in 2024.
By 2028, the number of users of Public Transportation is expected to reach 63.45m users.
The user penetration rate is projected to be 95.0% in 2024 and is expected to increase to 95.0% by 2028.
The average revenue per user (ARPU) is expected to be €346.80.
It is also anticipated that 57% of the total revenue in the Shared Mobility market will be generated through online sales by 2028.
In comparison with other countries, China is expected to generate the most revenue, reaching €382bn in 2024.
In Japan, the shared mobility market is dominated by established taxi companies, with ride-hailing services facing regulatory hurdles.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

Japan has seen a significant rise in the Shared Mobility market in recent years.

Customer preferences: Customers in Japan are increasingly valuing convenience, cost-effectiveness, and sustainability when it comes to transportation options. Shared mobility services such as ride-hailing, bike-sharing, and car-sharing are gaining popularity among tech-savvy urban dwellers who seek efficient and eco-friendly ways to move around.

Trends in the market: One notable trend in the Shared Mobility market in Japan is the growing partnership between traditional transportation companies and tech startups. This collaboration has led to the integration of shared mobility services into existing public transportation systems, offering commuters seamless and interconnected travel options. Additionally, the introduction of innovative technologies such as AI-driven route optimization and mobile payment solutions has enhanced the overall user experience in the market.

Local special circumstances: Japan's unique demographic and geographic characteristics play a significant role in shaping the Shared Mobility market. With a densely populated urban landscape and an aging population, there is a growing demand for flexible and on-demand transportation solutions. Moreover, the country's strong emphasis on safety and cleanliness aligns well with the reliable and well-maintained shared mobility services available in the market.

Underlying macroeconomic factors: The Shared Mobility market in Japan is also influenced by broader macroeconomic factors such as government regulations and policies. Initiatives promoting sustainable transportation, coupled with investments in infrastructure development, have created a favorable environment for the growth of shared mobility services. Additionally, the increasing focus on reducing traffic congestion and carbon emissions has further propelled the adoption of shared mobility solutions across the country.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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.