Shared Mobility - Belgium

  • Belgium
  • Belgium is expected to witness significant growth in the Shared Mobility market in the coming years.
  • The revenue in this market is projected to reach €5,259.00m in 2024, with an annual growth rate (CAGR 2024-2029) of 0.94%.
  • This growth is expected to result in a projected market volume of €5,512.00m by 2029.
  • The largest market in this market is Flights, which is projected to have a market volume of €2,387.00m in 2024.
  • By 2029, the number of users in the Public Transportation market is expected to amount to 6,236.00k users.
  • The user penetration in the Shared Mobility market is expected to increase from 92.2% in 2024 to 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be €486.90.
  • It is projected that by 2029, 62% of the total revenue in the Shared Mobility market will be generated through online sales.
  • When compared globally, it is expected that most revenue will be generated in China, with a projected revenue of €335bn in 2024.
  • Belgium's shared mobility market is seeing a rise in electric bike and scooter usage due to government incentives and a growing focus on sustainability.

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

 
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Analyst Opinion

The Shared Mobility market in Belgium is experiencing a shift in consumer preferences towards more sustainable and convenient transportation options.

Customer preferences:
Consumers in Belgium are increasingly valuing flexibility, cost-effectiveness, and environmental sustainability when it comes to transportation. This has led to a growing demand for shared mobility services such as ride-hailing, car-sharing, and bike-sharing. The convenience of accessing these services through mobile apps has also contributed to their popularity among tech-savvy Belgians.

Trends in the market:
One prominent trend in the Shared Mobility market in Belgium is the integration of different modes of transportation within a single platform. This multimodal approach allows users to plan and pay for their entire journey using a single app, combining services like ride-hailing, public transportation, and bike-sharing. This trend not only enhances the overall user experience but also promotes the use of shared mobility options over private car ownership.

Local special circumstances:
Belgium's compact size and well-developed transportation infrastructure make it conducive to the growth of shared mobility services. The country's urban centers, such as Brussels, Antwerp, and Ghent, have high population densities and traffic congestion, making shared mobility a practical solution for residents and commuters. Additionally, the government's initiatives to reduce carbon emissions and promote sustainable transportation align with the values driving the adoption of shared mobility services in the country.

Underlying macroeconomic factors:
The Shared Mobility market in Belgium is also influenced by macroeconomic factors such as changing work patterns and increasing urbanization. The rise of the gig economy and flexible working arrangements have made on-demand transportation services more attractive to freelancers and part-time workers who may not require a car on a daily basis. Moreover, as urban areas become more densely populated, the need for efficient and sustainable transportation solutions has become a priority, further driving the demand for shared mobility services in Belgium.

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.

Visión general

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