Online Learning Platforms - Northern Africa

Northern Africa

Highlights

Revenue in the Online Learning Platforms market is projected to reach US$133.50m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 2.34%, resulting in a projected market volume of US$146.40m by 2028.
In the Online Learning Platforms market, the number of users is expected to amount to 5.1m users by 2028.
User penetration will be 1.6% in 2024 and is expected to hit 1.9% by 2028.
The average revenue per user (ARPU) is expected to amount to US$33.37.
In global comparison, most revenue will be generated China (US$40.60bn in 2024).
With a projected rate of 21.0%, the user penetration in the Online Learning Platforms market is highest China.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Learning Platforms market in Northern Africa is experiencing significant growth and development.

Customer preferences: In recent years, there has been a growing demand for online learning platforms in Northern Africa. This can be attributed to several factors. Firstly, the region has a large young population who are increasingly seeking opportunities for education and skill development. Online learning platforms provide a convenient and flexible way for individuals to access educational resources and courses. Additionally, the COVID-19 pandemic has accelerated the adoption of online learning platforms as traditional educational institutions shifted to remote learning. This has further increased the demand for online learning platforms in the region.

Trends in the market: One of the key trends in the Online Learning Platforms market in Northern Africa is the rise of mobile learning. Mobile penetration is high in the region, and many individuals have access to smartphones. Online learning platforms have capitalized on this trend by developing mobile applications that provide users with easy access to educational content on their smartphones. This has made learning more accessible and convenient for individuals, particularly those in remote areas with limited access to traditional educational institutions. Another trend in the market is the increasing popularity of language learning platforms. Northern Africa is a linguistically diverse region, with multiple languages spoken across different countries. Online learning platforms that offer language courses have gained traction as individuals seek to learn new languages for personal and professional development. This trend is driven by the desire to enhance communication skills and increase employability in a globalized world.

Local special circumstances: Northern Africa has its own unique set of circumstances that contribute to the development of the Online Learning Platforms market. One such circumstance is the limited availability of quality educational institutions in certain areas. Online learning platforms provide individuals with an alternative way to access education and acquire new skills, regardless of their geographical location. This is particularly beneficial for individuals in rural or remote areas who may not have easy access to traditional educational institutions.

Underlying macroeconomic factors: The Online Learning Platforms market in Northern Africa is also influenced by underlying macroeconomic factors. Economic growth and stability in the region have contributed to an increase in disposable income and the ability of individuals to invest in education and skill development. Additionally, government initiatives to promote digital literacy and education have created a favorable environment for the growth of online learning platforms. These factors have created a market that is ripe for expansion and innovation in the Online Learning Platforms sector in Northern Africa.

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.