Market Insights Digital eServices Online Education

Online Learning Platforms - North America

North America

Revenue in the Online Learning Platforms market is projected to reach US$4.34bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 9.33%, resulting in a projected market volume of US$6.20bn by 2028.
In the Online Learning Platforms market, the number of users is expected to amount to 96.3m users by 2028.
User penetration will be 14.3% in 2024 and is expected to hit 18.4% by 2028.
The average revenue per user (ARPU) is expected to amount to US$59.37.
In global comparison, most revenue will be generated in China (US$40.60bn in 2024).
With a projected rate of 21.0%, the user penetration in the Online Learning Platforms market is highest in China.

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

Market

Region

Region comparison

Currency

Analyst Opinion

The Online Learning Platforms market in North America has experienced significant growth in recent years, driven by changing customer preferences and the increasing demand for flexible and personalized education options.

Customer preferences: Customers in North America are increasingly seeking out online learning platforms as a convenient and flexible way to acquire new skills and knowledge. The ability to access educational content anytime and anywhere has become a key factor in the popularity of online learning platforms. Additionally, the availability of a wide range of courses and programs catering to different interests and skill levels has also contributed to the growing adoption of these platforms.

Trends in the market: One of the key trends in the Online Learning Platforms market in North America is the rise of specialized platforms catering to specific industries or skill sets. These platforms offer targeted courses and programs that are designed to meet the specific needs of professionals in fields such as technology, healthcare, and finance. This trend reflects the increasing demand for industry-specific knowledge and skills, as well as the recognition of the value of specialized education in the job market. Another trend in the market is the integration of advanced technologies such as artificial intelligence and machine learning into online learning platforms. These technologies enable platforms to provide personalized learning experiences by analyzing user data and delivering tailored content and recommendations. This customization enhances the learning outcomes for individuals and improves the overall user experience.

Local special circumstances: North America is home to a large number of prestigious educational institutions, which has contributed to the growth of the Online Learning Platforms market in the region. These institutions have recognized the potential of online learning platforms to reach a wider audience and have partnered with or developed their own platforms to offer online courses and programs. This collaboration between traditional education providers and online learning platforms has further fueled the growth of the market.

Underlying macroeconomic factors: The strong presence of technology companies in North America has played a significant role in the development of the Online Learning Platforms market. These companies have invested heavily in the development of online learning platforms and have leveraged their technological expertise to create innovative and user-friendly platforms. Additionally, the high internet penetration rate and widespread access to digital devices in North America have created a favorable environment for the growth of online learning platforms. In conclusion, the Online Learning Platforms market in North America has experienced rapid growth due to changing customer preferences, the rise of specialized platforms, the integration of advanced technologies, the collaboration between traditional education providers and online platforms, and the favorable macroeconomic factors in the region. These factors have contributed to the increasing popularity and adoption of online learning platforms as a convenient and flexible way to acquire new skills and knowledge.

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.