Online Education - Germany

Germany

The revenue in the Online Education market in Germany is projected to reach €805.90m in 2023.
This projection is based on an expected annual growth rate (CAGR 2023-2028) of 4.19%, which would result in a projected market volume of €989.60m by 2028.
In Germany, the Online Learning Platform market is expected to have a projected market volume of €501.10m in 2023.
When compared globally, it is worth noting that in the United States is projected to generate the highest revenue, with €68,730.00m in 2023.
The average revenue per user (ARPU) in the German Online Education market is projected to be €65.81 in 2023.
Additionally, the number of users in the German Online Education market is expected to reach 16.8m users by 2028.
Furthermore, the user penetration rate in the German Online Education market is projected to be 14.6% in 2023.
This indicates the percentage of the population that is expected to be users of online education services.
Germany's strong emphasis on academic excellence and high-quality education has fueled the rapid growth of online education platforms in the country.

Key regions: United States, China, Asia, Japan, Germany

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Online Education market is currently facing several major trends and issues. Firstly, the rapid shift towards remote learning due to the COVID-19 pandemic has resulted in an increase in demand for online education services. Secondly, there is a growing trend towards personalized and adaptive learning, with online education platforms incorporating AI and machine learning technologies to offer customized learning experiences. The effects of these trends are seen in the numbers, with the global online education market expected to reach $325 billion by 2025, growing at a compound annual growth rate of approximately 7%. Additionally, the COVID-19 pandemic has accelerated the adoption of online education, with the number of enrolled students in online courses increasing significantly in the past year. Going forward, the online education segment is expected to continue its growth trajectory, driven by the increasing demand for remote and flexible learning options, as well as the advancements in technology that allow for more personalized and engaging learning experiences. However, the industry may also face challenges such as ensuring the quality and accreditation of online courses and addressing the digital divide and unequal access to technology and internet connectivity. Nevertheless, the overall outlook for the online education segment remains positive, with strong growth potential in the coming years.

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.