Market Insights eCommerce Online Education

Online Learning Platforms - Southern Africa

Southern Africa

Revenue in the Online Learning Platforms market is projected to reach US$119.80m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 19.92%, resulting in a projected market volume of US$297.10m by 2029.
In the Online Learning Platforms market, the number of users is expected to amount to 11.1m users by 2029.
User penetration will be 12.6% in 2024 and is expected to hit 17.3% by 2029.
The average revenue per user (ARPU) is expected to amount to US$15.65.
In global comparison, most revenue will be generated in China (US$40.60bn in 2024).
With a projected rate of 21.9%, the user penetration in the Online Learning Platforms market is highest in China.

Market

Region

Region comparison

Currency

Analyst Opinion

The Online Learning Platforms market in Southern Africa is experiencing significant growth and development in recent years.

Customer preferences: Customers in Southern Africa are increasingly turning to online learning platforms as a convenient and flexible way to acquire new skills and knowledge. The ability to access educational content anytime and anywhere is particularly appealing to individuals who may have limited access to traditional educational institutions. Additionally, online learning platforms offer a wide range of courses and subjects, allowing customers to choose the topics that are most relevant to their personal and professional development.

Trends in the market: One of the key trends in the Online Learning Platforms market in Southern Africa is the increasing adoption of mobile learning. With the widespread availability of smartphones and affordable data plans, more and more customers are accessing online courses and educational content through their mobile devices. This trend is driven by the convenience and accessibility that mobile learning offers, allowing customers to learn on the go and at their own pace. Another trend in the market is the growing popularity of professional and vocational courses. As the job market becomes more competitive, individuals in Southern Africa are seeking opportunities to acquire new skills and enhance their employability. Online learning platforms provide a wide range of professional and vocational courses that cater to this demand, offering certifications and qualifications that are recognized by employers.

Local special circumstances: Southern Africa has a diverse population with different educational needs and preferences. Online learning platforms are able to cater to this diversity by offering courses in multiple languages and tailored to local cultural and educational contexts. This localization of content and delivery is a key factor in the success and adoption of online learning platforms in the region.

Underlying macroeconomic factors: The Online Learning Platforms market in Southern Africa is also influenced by underlying macroeconomic factors. The region has a growing middle class and an increasing number of individuals who are seeking opportunities for personal and professional development. Additionally, the rapid advancement of technology and internet connectivity in Southern Africa has made online learning platforms more accessible to a larger population. These factors contribute to the growth and development of the Online Learning Platforms market in the region.

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.