Market Insights eCommerce Online Education

Online Learning Platforms - Germany

Germany

Revenue in the Online Learning Platforms market is projected to reach €0.56bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of -1.10%, resulting in a projected market volume of €0.53bn by 2029.
In the Online Learning Platforms market, the number of users is expected to amount to 14.3m users by 2029.
User penetration will be 13.2% in 2024 and is expected to hit 17.3% by 2029.
The average revenue per user (ARPU) is expected to amount to €50.82.
In global comparison, most revenue will be generated in China (€37,650.00m 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 Germany is experiencing significant growth and development, driven by various factors such as customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in Germany are shifting towards online learning platforms due to their convenience and flexibility. With the increasing demand for lifelong learning and upskilling, individuals are seeking accessible and affordable ways to acquire new knowledge and skills. Online learning platforms offer a wide range of courses and resources that can be accessed anytime and anywhere, allowing individuals to learn at their own pace and according to their own schedule. This flexibility is particularly appealing to busy professionals and individuals with other commitments, who may find it difficult to attend traditional classroom-based courses. Trends in the market are also contributing to the growth of the Online Learning Platforms market in Germany. One of the key trends is the rise of e-learning, which is the use of electronic media and technology for education. E-learning platforms are becoming increasingly popular as they offer interactive and engaging learning experiences through the use of multimedia, gamification, and social learning features. This trend is driven by advancements in technology and the increasing availability of high-speed internet, which enables seamless online learning experiences. Additionally, the COVID-19 pandemic has accelerated the adoption of online learning platforms, as traditional educational institutions have shifted to remote learning to ensure continuity of education. Germany has some local special circumstances that contribute to the development of the Online Learning Platforms market. The country has a strong education system and a culture that values lifelong learning. German individuals place importance on continuous education and professional development, which creates a favorable environment for the growth of online learning platforms. Furthermore, Germany has a large population of international students, who often rely on online learning platforms to supplement their education and language skills. Underlying macroeconomic factors also play a role in the development of the Online Learning Platforms market in Germany. The country has a strong economy and a high level of digitalization, which provides a conducive environment for the growth of online learning platforms. Additionally, the government has been supportive of digital education initiatives and has invested in the development of digital infrastructure and skills. In conclusion, the Online Learning Platforms market in Germany is experiencing significant growth and development due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards online learning platforms is driven by the convenience and flexibility they offer, while trends such as e-learning and the impact of the COVID-19 pandemic have further accelerated their adoption. Germany's strong education system, culture of lifelong learning, and favorable macroeconomic factors contribute to the growth of the market in the country.

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.