Market Insights Digital eServices Online Education

Online Learning Platforms - G7

Revenue in the Online Learning Platforms market is projected to reach US$6.23bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 5.51%, resulting in a projected market volume of US$7.72bn by 2028.
In the Online Learning Platforms market, the number of users is expected to amount to 141.5m users by 2028.
User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 2028.
The average revenue per user (ARPU) is expected to amount to US$57.50.
In global comparison, most revenue will be generated in China (US$40.60bn in 2024).
With a projected rate of 0, the user penetration in the Online Learning Platforms market is highest 0.

Key regions: Germany, Brazil, Japan, South Korea, India

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Analyst Opinion

The Online Learning Platforms market in G7 countries is experiencing significant growth and development.

Customer preferences: Customers in G7 countries are increasingly turning to online learning platforms as a convenient and flexible way to acquire new skills and knowledge. The ability to access educational content anytime, anywhere, and at their own pace is highly valued by learners. Additionally, the wide range of courses and subjects offered by online learning platforms caters to the diverse interests and needs of customers in G7 countries.

Trends in the market: One of the key trends in the Online Learning Platforms market in G7 countries is the increasing adoption of mobile learning. With the widespread use of smartphones and tablets, learners are leveraging these devices to access online courses and educational materials. Mobile learning allows for greater flexibility and convenience, as learners can engage in learning activities while on the go. Another trend in the market is the emergence of personalized learning experiences. Online learning platforms are leveraging technologies such as artificial intelligence and machine learning to deliver personalized content and recommendations to learners. This personalized approach enhances the learning experience by tailoring the content to the individual needs and preferences of each learner.

Local special circumstances: Each G7 country has its own unique set of circumstances that contribute to the development of the Online Learning Platforms market. For example, in the United States, the high cost of traditional education and the need for continuous upskilling and reskilling are driving the demand for online learning platforms. In Japan, where the aging population is a concern, online learning platforms are playing a crucial role in providing lifelong learning opportunities to individuals of all ages.

Underlying macroeconomic factors: The growth of the Online Learning Platforms market in G7 countries is also influenced by underlying macroeconomic factors. The increasing digitization of industries and the rise of remote work due to the COVID-19 pandemic have created a greater demand for online learning platforms. As businesses and individuals adapt to the digital economy, the need for digital skills and knowledge has become paramount, driving the growth of the market. Furthermore, government initiatives and investments in education and technology infrastructure are supporting the development of the Online Learning Platforms market. Governments in G7 countries recognize the importance of digital education and are taking steps to promote online learning platforms as a viable alternative to traditional education. In conclusion, the Online Learning Platforms market in G7 countries is experiencing significant growth and development due to customer preferences for convenience and flexibility, as well as the emergence of mobile learning and personalized learning experiences. Local special circumstances and underlying macroeconomic factors, such as the high cost of traditional education and the need for digital skills, are also driving the growth of the 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.