Shared Mobility - Bahrain

  • Bahrain
  • Bahrain is expected to experience a surge in revenue for the Shared Mobility market, with a projected value of US$455.30m in 2024.
  • This is expected to grow annually at a rate of 2.91%, leading to a market volume of US$525.60m by 2029.
  • Within the Shared Mobility market, the largest market is Flights, which is expected to reach a market volume of US$203.20m in 2024.
  • Looking forward to 2029, the number of Public Transportation users in the Flights market is expected to reach 807.10k users.
  • In 2024, the user penetration rate is expected to be 82.5%, which is projected to increase to 87.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$368.30.
  • By 2029, 60% of the total revenue for Shared Mobility market is expected to be generated through online sales.
  • In comparison to other countries, China is projected to generate the highest revenue in the Shared Mobility market, with a value of US$365bn in 2024.
  • Bahrain's shared mobility market is gaining traction with the rise of electric scooter services and car-sharing platforms.

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

 
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Analyst Opinion

Over the past few years, the Shared Mobility market in Bahrain has seen significant growth and development.

Customer preferences:
Customers in Bahrain are increasingly leaning towards shared mobility services due to the convenience and cost-effectiveness they offer. The younger population, in particular, is more inclined towards using shared mobility options as they seek flexibility in their transportation choices.

Trends in the market:
One notable trend in the Bahraini Shared Mobility market is the rise of ride-hailing services, which have become increasingly popular among residents and tourists alike. The ease of booking a ride through mobile applications and the availability of various vehicle options have contributed to the success of these services in the country. Additionally, car-sharing services are also gaining traction as people look for alternative transportation solutions.

Local special circumstances:
Bahrain's small geographical size and high population density make shared mobility a practical choice for many residents. The country's well-developed infrastructure and increasing traffic congestion in urban areas further drive the demand for shared mobility services. Moreover, the government's efforts to promote sustainable transportation options align with the growing popularity of shared mobility in Bahrain.

Underlying macroeconomic factors:
The growing economy and increasing disposable income levels in Bahrain have positively impacted the Shared Mobility market. As people have more spending power, they are more willing to use shared mobility services for their daily commuting needs. Additionally, the government's investments in smart city initiatives and transportation infrastructure have created a conducive environment for the growth of shared mobility services in 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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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