Online Learning Platforms - Southeast Asia

Southeast Asia

Highlights

Revenue in the Online Learning Platforms market is projected to reach US$973.70m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -9.31%, resulting in a projected market volume of US$597.30m by 2029.
In the Online Learning Platforms market, the number of users is expected to amount to 37.9m users by 2029.
User penetration will be 6.4% in 2024 and is expected to hit 8.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$33.57.
In global comparison, most revenue will be generated China (US$40.60bn in 2024).
With a projected rate of 21.9%, the user penetration in the Online Learning Platforms market is highest China.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Learning Platforms market in Southeast Asia is experiencing significant growth and development due to changing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in the region are shifting towards online learning platforms due to their convenience and flexibility. With busy lifestyles and limited time, people are increasingly turning to online platforms to acquire new skills and knowledge. Online learning platforms provide the opportunity to learn at one's own pace and from anywhere, making it an attractive option for individuals in Southeast Asia. Trends in the market are also contributing to the growth of online learning platforms in the region. The increasing adoption of technology, particularly smartphones and internet connectivity, has made online learning more accessible to a larger population. The rise of digitalization in various sectors, such as education and workforce development, has also fueled the demand for online learning platforms. Additionally, the COVID-19 pandemic has accelerated the shift towards online education, as schools and universities had to transition to remote learning. Local special circumstances in Southeast Asia, such as a large and young population, contribute to the growth of online learning platforms. The region has a significant youth population that is eager to acquire new skills and enhance their employability. Online learning platforms provide a cost-effective and efficient way for individuals to access quality education and training. Furthermore, the diversity of languages spoken in Southeast Asia creates opportunities for online learning platforms to cater to specific language needs and cultural preferences. Underlying macroeconomic factors also play a role in the development of the online learning platforms market in Southeast Asia. The region has been experiencing rapid economic growth, leading to an increase in disposable income and a higher demand for education and skill development. Governments in Southeast Asia are also recognizing the importance of investing in human capital and are implementing initiatives to promote lifelong learning and digital skills. These factors create a favorable environment for the growth of online learning platforms. In conclusion, the Online Learning Platforms market in Southeast Asia is growing and developing due to changing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. The convenience and flexibility offered by online learning platforms, along with the increasing adoption of technology and the COVID-19 pandemic, are driving the demand for online education in the region. The large and young population, diverse languages, and favorable macroeconomic conditions further contribute to the growth of the market.

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.