Market Insights eCommerce Online Education

Online Learning Platforms - Thailand

Thailand

Revenue in the Online Learning Platforms market is projected to reach US$227.60m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -5.91%, resulting in a projected market volume of US$167.80m by 2029.
In the Online Learning Platforms market, the number of users is expected to amount to 6.7m users by 2029.
User penetration will be 7.4% in 2024 and is expected to hit 9.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$42.68.
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.

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Analyst Opinion

The Online Learning Platforms market in Thailand has been experiencing significant growth in recent years.

Customer preferences: Thailand has a large population of tech-savvy individuals who are increasingly embracing online learning platforms as a convenient and flexible way to acquire new skills and knowledge. With the rise of internet penetration and smartphone usage in the country, there is a growing demand for online learning platforms that offer a wide range of courses and educational materials. Additionally, the younger generation in Thailand has a strong preference for digital learning tools and platforms, as they are more comfortable with technology and value the convenience and flexibility that online learning provides.

Trends in the market: One of the major trends in the Online Learning Platforms market in Thailand is the increasing popularity of English language courses. English proficiency is highly valued in Thailand, as it is seen as a key skill for career advancement and international opportunities. As a result, there is a growing demand for online platforms that offer English language courses, ranging from basic to advanced levels. Another trend in the market is the emergence of specialized online learning platforms that cater to specific industries or professions. These platforms offer courses and training programs that are tailored to the needs of professionals in fields such as digital marketing, graphic design, and programming.

Local special circumstances: Thailand has a well-established education system, but there are certain limitations and challenges that make online learning platforms an attractive alternative. For example, the traditional education system in Thailand is often criticized for being rigid and focused on rote learning. Online learning platforms provide an opportunity for individuals to learn at their own pace and explore subjects that may not be covered in the traditional curriculum. Additionally, the cost of education in Thailand can be quite high, especially for higher education. Online learning platforms offer more affordable options for individuals who are unable to afford traditional education or prefer a more flexible learning experience.

Underlying macroeconomic factors: The growing demand for online learning platforms in Thailand can be attributed to several macroeconomic factors. Firstly, the country has been experiencing rapid economic growth, which has resulted in a larger middle class with disposable income to spend on education and personal development. Secondly, the COVID-19 pandemic has accelerated the adoption of online learning platforms, as many educational institutions were forced to shift to remote learning. This has created an opportunity for online learning platforms to fill the gap and provide accessible and flexible education options. Lastly, the Thai government has been actively promoting digital literacy and the use of technology in education, which has further fueled the growth of the Online Learning Platforms market in Thailand.

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.