Market Insights Digital eServices Online Education

Online University Education - Colombia

Colombia

Revenue in the Online University Education market is projected to reach €55.47m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 17.35%, resulting in a projected market volume of €105.20m by 2028.
In the Online University Education market, the number of users is expected to amount to 641.0k users by 2028.
User penetration will be 0.7% in 2024 and is expected to hit 1.2% by 2028.
The average revenue per user (ARPU) is expected to amount to €148.60.
In global comparison, most revenue will be generated in the United States (€76.31bn in 2024).
With a projected rate of 2.3%, the user penetration in the Online University Education market is highest in the United States.

Key regions: Germany, China, United States, South Korea, Europe

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Online University Education market in Colombia is experiencing significant growth and development.

Customer preferences: Colombian students are increasingly opting for online university education due to its flexibility and convenience. Online courses allow students to study at their own pace and from any location, which is particularly appealing to those who are working or have other commitments. Additionally, online education provides access to a wide range of courses and programs that may not be available in traditional universities.

Trends in the market: One of the key trends in the online university education market in Colombia is the increasing number of partnerships between universities and online learning platforms. These partnerships allow universities to expand their reach and offer online courses to a larger audience. Furthermore, the market is witnessing a rise in the number of specialized online degree programs, catering to specific industries and professions. This trend reflects the growing demand for targeted and practical education that prepares students for specific career paths.

Local special circumstances: Colombia has a large population of young people who are eager to pursue higher education. However, traditional universities in the country often face capacity constraints and may not be able to accommodate all the students. Online university education provides a viable alternative, allowing more students to access higher education. Additionally, the geographical diversity of Colombia, with many remote and rural areas, makes online education a practical solution for students who may not have easy access to traditional universities.

Underlying macroeconomic factors: Colombia has been experiencing steady economic growth in recent years, which has contributed to an increase in disposable income and a growing middle class. This has led to an increased demand for higher education, as more individuals seek to improve their job prospects and career opportunities. Additionally, the COVID-19 pandemic has accelerated the adoption of online education, as traditional universities were forced to temporarily close and shift to online learning. This has further fueled the growth of the online university education market in Colombia. In conclusion, the Online University Education market in Colombia is witnessing significant growth and development, driven by customer preferences for flexibility and convenience, as well as the increasing demand for specialized education and the need to expand access to higher education. The local special circumstances, such as the large young population and geographical diversity, further contribute to the growth of online education. The underlying macroeconomic factors, including economic growth and the impact of the COVID-19 pandemic, have also played a role in shaping the market trends.

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.