Shared Mobility - Mozambique

  • Mozambique
  • By 2024, the Shared Mobility market in Mozambique is predicted to generate a revenue of US$173.60m.
  • Moreover, the market is expected to exhibit an annual growth rate of 6.42% between 2024 and 2029, leading to a projected market volume of US$237.00m by 2029.
  • The Public Transportation market is anticipated to be the largest market, with a projected market volume of US$57.24m by 2024.
  • In the Public Transportation market, the number of users is expected to increase to 19.69m users by 2029.
  • The user penetration rate is predicted to rise from 44.4% in 2024 to 54.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$18.28.
  • Furthermore, it is expected that by 2029, 47% of the total revenue in the Shared Mobility market will be generated through online sales.
  • When compared globally, it is estimated that China will generate the most revenue in Shared Mobility market, reaching US$365bn by 2024.
  • Despite challenges in infrastructure and regulation, Mozambique's shared mobility market is expected to grow as urbanization and population increase.

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 Mozambique has been experiencing significant growth and development, reflecting a shift in consumer behavior and transportation preferences.

Customer preferences:
In Mozambique, customers are increasingly opting for shared mobility services due to the convenience, cost-effectiveness, and flexibility they offer. With the rise of urbanization and a growing middle class, there is a higher demand for efficient transportation solutions that can navigate the country's congested roads and limited public transportation infrastructure.

Trends in the market:
One of the key trends in the Shared Mobility market in Mozambique is the rapid adoption of ride-hailing services and motorcycle taxis. These services have gained popularity among urban commuters looking for quick and reliable transportation options. Additionally, carpooling and bike-sharing services are also emerging as viable alternatives for short-distance travel in major cities.

Local special circumstances:
Mozambique's unique geographic and economic landscape plays a significant role in shaping the Shared Mobility market. The country's diverse terrain and varying levels of urbanization present challenges for traditional transportation modes, making shared mobility services a practical solution for both residents and visitors. Moreover, the increasing smartphone penetration in Mozambique has facilitated the widespread use of mobile apps for booking shared rides, contributing to the market's growth.

Underlying macroeconomic factors:
The development of the Shared Mobility market in Mozambique is also influenced by macroeconomic factors such as income levels, employment opportunities, and government regulations. As disposable incomes rise and more people join the workforce, there is a greater demand for affordable and efficient transportation options. Additionally, government policies and initiatives to promote sustainable urban mobility and reduce traffic congestion are driving the adoption of shared mobility services across 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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