Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market in Brunei Darussalam is experiencing a notable shift in consumer behavior and market dynamics.
Customer preferences: Consumers in Brunei Darussalam are increasingly valuing convenience, cost-effectiveness, and sustainability when it comes to transportation options. This has led to a growing demand for shared mobility services that offer flexibility in terms of pick-up and drop-off locations, as well as diverse vehicle options to cater to different needs.
Trends in the market: One prominent trend in the Shared Mobility market in Brunei Darussalam is the rise of app-based ride-hailing services that provide on-demand transportation solutions. This trend is driven by the widespread adoption of smartphones and the convenience they offer in booking rides. Additionally, the market is witnessing the integration of electric vehicles into shared mobility fleets, aligning with the country's push towards environmental sustainability.
Local special circumstances: Brunei Darussalam's small geographical size and high car ownership rate present unique challenges and opportunities for the Shared Mobility market. While the market may face competition from private vehicle usage, there is a growing segment of the population that prefers the convenience and cost savings associated with shared mobility services, especially in urban areas.
Underlying macroeconomic factors: The growing middle-class population in Brunei Darussalam, coupled with increasing urbanization, is driving the demand for efficient transportation solutions. As disposable incomes rise, consumers are more willing to spend on convenient and reliable shared mobility services. Additionally, government initiatives to promote sustainable transportation and reduce traffic congestion are further fueling the development of the Shared Mobility market in the country.
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.
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