Online Education - Czechia

Czechia

Revenue in the Online Education market is projected to reach US$86.95m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.16%, resulting in a projected market volume of US$101.60m by 2029.
The Online Learning Platform market has a projected market volume of US$46.80m in 2024.
In global comparison, most revenue will be generated in the United States (US$87.51bn in 2024).
The average revenue per user (ARPU) in the Online Education market is projected to amount to US$71.11 in 2024.
In the Online Education market, the number of users is expected to amount to 1,595.0k users by 2029.
User penetration in the Online Education market will be at 11.6% in 2024.

Market

Region

Region comparison

Currency

Analyst Opinion

The Online Education market in Czechia has been experiencing significant growth in recent years.

Customer preferences: Czechia has a high internet penetration rate, with a large portion of the population having access to the internet. This has created a favorable environment for the growth of online education platforms. Additionally, Czechia has a strong education system with a high literacy rate, and there is a growing demand for continuous learning and skill development among the population.

Trends in the market: One of the key trends in the online education market in Czechia is the increasing popularity of language learning courses. English is widely spoken in the country, and there is a strong demand for English language proficiency among the population. Online platforms that offer language courses have seen a surge in enrollment. Another trend in the market is the rise of online vocational training courses. With the increasing demand for skilled professionals in various industries, individuals are turning to online platforms to acquire new skills or enhance their existing ones. This trend is driven by the need for flexibility and convenience, as online courses allow individuals to learn at their own pace and from the comfort of their own homes.

Local special circumstances: Czechia has a highly educated population, with a strong emphasis on education and professional development. The country has a well-established higher education system, with several prestigious universities and institutions. However, traditional education can be expensive and time-consuming, which has led to an increased interest in online education as a more affordable and flexible alternative.

Underlying macroeconomic factors: Czechia has a stable economy with a high GDP per capita. The country has experienced steady economic growth in recent years, which has contributed to the rising disposable income of the population. As a result, individuals have more financial resources to invest in their personal and professional development, including online education courses. In conclusion, the Online Education market in Czechia is growing due to the high internet penetration rate, strong demand for continuous learning, and the need for flexible and affordable education options. The popularity of language learning courses and online vocational training courses has been on the rise. With a highly educated population and a stable economy, Czechia provides a conducive environment for the growth of the online education market.

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.