Shared Mobility - Algeria

  • Algeria
  • Algeria is projected to witness a significant growth in the Shared Mobility market.
  • By 2024, the revenue is estimated to reach US$1,766.00m.
  • Moreover, the market is expected to show a CAGR of -0.74% in the period of 2024-2028, resulting in a projected market volume of US$1,714.00m by 2028.
  • The largest market in the market is Public Transportation, which is projected to reach a market volume of US$629.80m in 2024.
  • By 2028, the number of users in Public Transportation is expected to reach 26,610.00k users.
  • The user penetration is expected to increase from 81.3% in 2024 to 82.0% by 2028.
  • The projected average revenue per user (ARPU) is estimated to be US$46.93.
  • It is expected that, by 2028, 46% of the total revenue in the Shared Mobility market will be generated through online sales.
  • In comparison to other countries, China is expected to generate the most revenue, with a projected revenue of US$412bn in 2024.
  • Algeria's shared mobility market is still in its early stages, with limited offerings and low adoption rates.

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

 
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Analyst Opinion

The Shared Mobility market in Algeria is experiencing significant growth and development.

Customer preferences:
Customers in Algeria are increasingly opting for shared mobility services due to the convenience, cost-effectiveness, and flexibility they offer. With the rise of urbanization and traffic congestion in major cities, more individuals are turning to shared mobility options as a practical solution for their daily transportation needs.

Trends in the market:
One of the notable trends in the Shared Mobility market in Algeria is the increasing popularity of ride-hailing services. This trend can be attributed to the growing penetration of smartphones and the internet, making it easier for customers to access and book shared rides. Additionally, carpooling services are also gaining traction as people look for ways to reduce their transportation expenses and contribute to environmental sustainability.

Local special circumstances:
Algeria's unique geographical and infrastructural challenges play a significant role in shaping the Shared Mobility market in the country. The vast size of the country and the uneven distribution of population centers create opportunities for shared mobility providers to offer services that cater to both urban and rural areas. Moreover, the government's focus on improving transportation infrastructure and promoting sustainable mobility solutions further drives the growth of the Shared Mobility market in Algeria.

Underlying macroeconomic factors:
The economic landscape of Algeria, with a growing middle class and increasing disposable income, influences the Shared Mobility market in the country. As more people have the financial means to afford shared mobility services, the demand for convenient and affordable transportation options continues to rise. Additionally, the government's initiatives to support the development of the transportation sector and encourage innovation contribute to the overall expansion of the Shared Mobility market in Algeria.

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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