Shared Mobility - Tunisia

  • Tunisia
  • Tunisia is expected to witness a surge in revenue from the Shared Mobility market.
  • By 2024, the revenue is projected to reach US$483.00m, and it is further expected to grow annually at a rate of 5.64% (CAGR 2024-2029), resulting in a market volume of US$635.60m by 2029.
  • The largest market in the market is Flights, which is projected to have a market volume of US$210.90m in 2024.
  • As for the highest number of users, the users in the Public Transportation are expected to have 6.74m users.
  • The user penetration is expected to be 78.7% in 2024 and 89.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$48.86.
  • In terms of revenue generation, 63% of the total revenue will be generated through online sales by 2029.
  • Interestingly, China is projected to generate the most revenue in the Shared Mobility market, with a revenue of US$365bn in 2024, in a global comparison.
  • Tunisia's shared mobility market is experiencing growth due to the high demand for affordable transportation options, particularly in urban areas.

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

 
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Analyst Opinion

The Shared Mobility market in Tunisia is experiencing a notable growth trajectory driven by changing customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
Customers in Tunisia are increasingly opting for shared mobility services due to the convenience, cost-effectiveness, and environmental benefits they offer. The younger demographic, in particular, is more inclined towards shared mobility options as they seek flexible and on-demand transportation solutions.

Trends in the market:
One of the prominent trends in the Shared Mobility market in Tunisia is the rise of ride-hailing services and bike-sharing platforms. These services have gained popularity in urban areas as they provide efficient first and last-mile connectivity. Additionally, carpooling and peer-to-peer ride-sharing services are also witnessing growth as people look for ways to reduce commuting costs and alleviate traffic congestion.

Local special circumstances:
Tunisia's growing urbanization and increasing traffic congestion in major cities like Tunis are driving the adoption of shared mobility solutions. The government's initiatives to promote sustainable transportation and reduce carbon emissions are further propelling the growth of the Shared Mobility market in the country. Moreover, the tourism industry in Tunisia is also contributing to the demand for shared transportation options among visitors.

Underlying macroeconomic factors:
The economic landscape of Tunisia, with a burgeoning middle class and rising disposable incomes, is creating a favorable environment for the Shared Mobility market to flourish. Additionally, the government's focus on improving transportation infrastructure and promoting digitalization is enhancing the accessibility and uptake of shared mobility services across the country. The increasing smartphone penetration and tech-savvy population in Tunisia are also facilitating the seamless integration of shared mobility platforms into people's daily lives. In conclusion, the Shared Mobility market in Tunisia is evolving rapidly in response to shifting customer preferences, local dynamics, and macroeconomic trends. As the market continues to expand, stakeholders in the transportation industry are likely to witness further innovations and developments in the shared mobility space.

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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