Online Learning Platforms - Denmark

Denmark

Highlights

Revenue in the Online Learning Platforms market is projected to reach US$47.68m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 3.28%, resulting in a projected market volume of US$54.25m by 2028.
In the Online Learning Platforms market, the number of users is expected to amount to 817.2k users by 2028.
User penetration will be 10.6% in 2024 and is expected to hit 13.7% by 2028.
The average revenue per user (ARPU) is expected to amount to US$76.31.
In global comparison, most revenue will be generated China (US$40.60bn in 2024).
With a projected rate of 21.0%, the user penetration in the Online Learning Platforms market is highest China.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online Learning Platforms market in Denmark is experiencing significant growth and development.

Customer preferences: In Denmark, there is a growing demand for online learning platforms due to several factors. Firstly, the convenience and flexibility offered by online learning platforms allow individuals to learn at their own pace and in their own time. This is particularly appealing to working professionals who may not have the time to attend traditional in-person classes. Additionally, the wide range of courses and subjects available on online learning platforms cater to diverse interests and needs, making it an attractive option for individuals seeking to expand their knowledge and skills.

Trends in the market: One of the key trends in the Online Learning Platforms market in Denmark is the increasing adoption of online courses by educational institutions. Many universities and schools are incorporating online learning platforms into their curriculum, offering students the opportunity to access course materials and resources remotely. This trend is driven by the recognition of the benefits of online learning, such as increased accessibility, cost-effectiveness, and the ability to reach a larger audience. Moreover, the COVID-19 pandemic has further accelerated the adoption of online learning platforms, as educational institutions had to quickly transition to remote learning. Another trend in the market is the rise of specialized online learning platforms. These platforms focus on specific industries or skills, providing targeted and in-depth courses for individuals looking to enhance their expertise in a particular field. This trend is fueled by the demand for specialized knowledge and skills in the job market, as individuals seek to differentiate themselves and stay relevant in a rapidly changing economy.

Local special circumstances: Denmark has a strong education system and a high level of digital literacy among its population. The country has a long-standing tradition of valuing education and investing in human capital development. This cultural emphasis on education, combined with the widespread access to technology and internet connectivity, creates a favorable environment for the growth of online learning platforms. Furthermore, Denmark has a well-developed e-learning infrastructure and supportive government policies. The government has actively promoted the use of digital technologies in education, including online learning platforms. This support from the government has encouraged the adoption and development of online learning platforms in the country.

Underlying macroeconomic factors: The Online Learning Platforms market in Denmark is also influenced by macroeconomic factors. The country has a strong economy and a high level of disposable income, which enables individuals to invest in their personal and professional development. Additionally, Denmark has a highly skilled workforce and a competitive job market, driving the demand for continuous learning and upskilling. In conclusion, the Online Learning Platforms market in Denmark is growing rapidly due to customer preferences for convenience and flexibility, the adoption of online courses by educational institutions, the rise of specialized platforms, local special circumstances such as a strong education system and supportive government policies, and underlying macroeconomic factors such as a strong economy and a competitive job 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.