Shared Mobility - Togo

  • Togo
  • Togo is expected to witness a significant growth in the Shared Mobility market in the coming years.
  • According to the projections, the revenue in this market is expected to reach US$70.40m by 2024 with an annual growth rate of 3.50% between 2024 and 2029.
  • Consequently, the projected market volume is expected to increase to US$83.60m by 2029.
  • The largest market in Togo is Public Transportation, with a projected market volume of US$23.91m in 2024.
  • By 2029, the number of users in the Public Transportation market is expected to reach 5.38m users.
  • The user penetration rate is expected to be 50.7% in 2024 and 57.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$24.60.
  • Additionally, 45% of the total revenue in the Shared Mobility market is expected to come from online sales by 2029.
  • It is worth noting that in comparison to other countries, China is projected to generate the highest revenue in the Shared Mobility market, with US$365bn expected in 2024.
  • Shared mobility in Togo is still in its infancy, with informal motorcycle taxis, known as "zemidjans", dominating the market.

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

 
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Analyst Opinion

The Shared Mobility market in Togo is experiencing significant growth and development, driven by various factors influencing consumer behavior and market dynamics.

Customer preferences:
Consumers in Togo are increasingly opting for shared mobility services due to the convenience, cost-effectiveness, and flexibility they offer. With a growing urban population and rising congestion levels, Togolese consumers are seeking efficient transportation solutions that can help them navigate the city more easily. Shared mobility services provide an attractive alternative to traditional transportation methods, allowing users to access on-demand rides at their convenience.

Trends in the market:
One of the key trends in the Shared Mobility market in Togo is the proliferation of motorcycle taxi services, known locally as "zemidjans. " These services have gained popularity due to their ability to navigate through traffic quickly and provide affordable transportation options for short distances. Additionally, carpooling and ride-hailing services are also on the rise, catering to different customer segments with varying needs and preferences.

Local special circumstances:
Togo's unique market characteristics, such as its predominantly urban population centers and infrastructure challenges, play a significant role in shaping the Shared Mobility landscape. The country's capital, Lomé, serves as a hub for transportation services, with a high demand for efficient and reliable mobility solutions. The presence of informal transportation networks and the need for improved road safety measures further contribute to the demand for shared mobility services in the region.

Underlying macroeconomic factors:
Economic factors such as GDP growth, disposable income levels, and employment opportunities also impact the Shared Mobility market in Togo. As the economy continues to develop and urbanization rates increase, more individuals are likely to rely on shared transportation services for their daily commuting needs. Additionally, government regulations and policies regarding transportation infrastructure and mobility services play a crucial role in shaping the market dynamics and influencing consumer behavior 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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