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Online University Education - MENA

MENA
  • Revenue in the Online University Education market is projected to reach US$171.54m in 2025.
  • Revenue is expected to show an annual growth rate (CAGR 2025-2029) of 9.43%, resulting in a projected market volume of US$245.98m by 2029.
  • In the Online University Education market, the number of users is expected to amount to 1.7m users by 2029.
  • User penetration will be 0.7% in 2025 and is expected to hit 1.0% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$155.68.
  • In global comparison, most revenue will be generated United States (US$94.00bn in 2025).
  • With a projected rate of 2.6%, the user penetration in the Online University Education market is highest United States.

Revenue

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Source: Statista Market Insights

Most recent update: Mar 2024

Source: Statista Market Insights

Users

Most recent update: Mar 2024

Source: Statista Market Insights

Global Comparison

Most recent update: Mar 2024

Source: Statista Market Insights

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.

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Key Market Indicators

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update: Jan 2025

Source: Statista Market Insights

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