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Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 17:00 h (SGT)
Lun - Ven, 10:00 - 18:00 h (JST)
Lun - Ven, 9:00 - 18:00 h (GMT)
Lun - Ven, 9:00 - 18:00 h (EST)
Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market is an integral part of every society and influences various aspects of private and public life.
Customer preferences: Customers are increasingly valuing convenience, cost-effectiveness, and sustainability when it comes to transportation options. Shared mobility services such as ride-hailing, car-sharing, and bike-sharing have gained popularity due to their flexibility and affordability, especially among urban dwellers looking for efficient ways to commute.
Trends in the market: In the United States, the Shared Mobility market is witnessing a shift towards electric vehicles and autonomous technology, driven by environmental concerns and technological advancements. Ride-hailing companies are expanding their services to include electric scooters and bikes to cater to the growing demand for eco-friendly transportation options. In Europe, car-sharing services are gaining traction as more people opt for shared vehicles over car ownership in major cities. This trend is fueled by the increasing costs of owning a car, strict emissions regulations, and the convenience of accessing a vehicle only when needed. In Asia, particularly in countries like China and India, bike-sharing services have become immensely popular, offering a convenient and affordable way to navigate through congested urban areas. The market is also seeing a rise in ride-hailing services, with companies expanding their offerings to include food delivery and digital payments to meet the diverse needs of customers.
Local special circumstances: In emerging markets like Brazil and South Africa, shared mobility services are addressing the challenges of limited public transportation infrastructure and high congestion levels in urban centers. These services provide a viable alternative for residents looking to avoid traffic jams and reduce their commuting time. In densely populated countries like Japan and South Korea, where space is limited and car ownership is expensive, shared mobility services have become integral to the transportation ecosystem. Commuters rely on a mix of public transportation, bike-sharing, and ride-hailing to navigate crowded cities efficiently.
Underlying macroeconomic factors: The growth of the Shared Mobility market is also influenced by macroeconomic factors such as urbanization, income levels, and government regulations. As more people move to cities in search of better opportunities, the demand for convenient and affordable transportation solutions continues to rise. Additionally, supportive policies and incentives from governments to promote shared mobility and sustainability are driving the expansion of the market worldwide.
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.Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 17:00 h (SGT)
Lun - Ven, 10:00 - 18:00 h (JST)
Lun - Ven, 9:00 - 18:00 h (GMT)
Lun - Ven, 9:00 - 18:00 h (EST)