The Online University Education market follows the revenue and user development of online programs terminating in university-accredited degrees and certificates. This definition includes degrees and certificates that are where the courses and materials are created by universities. The definition also includes degrees and certificates that are issued through third-party online learning platforms (edX) and accredited courses.
Data includes revenue figures in Gross Merchandise Value (GMV), Users, average revenue per user (ARPU), and user penetration rate. User and revenue figures represent B2C services.
The Online Learning Platforms market in Brazil has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing demand for flexible and accessible education options. Customer preferences in Brazil have shifted towards online learning platforms due to their convenience and flexibility. With busy schedules and limited time, many individuals are opting for online courses that allow them to learn at their own pace and from the comfort of their own homes. Additionally, online learning platforms offer a wide range of courses and subjects, providing customers with the opportunity to acquire new skills and knowledge in various areas of interest. Trends in the market indicate that the demand for online learning platforms in Brazil is expected to continue growing in the coming years. The COVID-19 pandemic has further accelerated this trend, as traditional educational institutions have been forced to shift to online learning platforms to ensure continuity of education. This has led to an increased acceptance and adoption of online learning platforms by both students and professionals. Local special circumstances in Brazil have also contributed to the growth of the online learning platforms market. Brazil is a vast country with a diverse population, and online learning platforms offer a solution to the challenges of providing education to remote and underserved areas. The accessibility of online learning platforms allows individuals from all regions of Brazil to access quality education, regardless of their geographical location. Underlying macroeconomic factors have also played a role in the development of the online learning platforms market in Brazil. The country has experienced economic growth in recent years, resulting in an expanding middle class with increased disposable income. As a result, more individuals have the financial means to invest in their education and are willing to pay for online courses and programs. In conclusion, the Online Learning Platforms market in Brazil is experiencing significant growth due to changing customer preferences, the increasing demand for flexible education options, and the accessibility of online learning platforms. The COVID-19 pandemic has further accelerated this trend, and the market is expected to continue growing in the coming years. The unique circumstances of Brazil, such as its vast territory and diverse population, have also contributed to the growth of the market. Additionally, underlying macroeconomic factors, such as economic growth and an expanding middle class, have played a role in the development of the market.
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.
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.
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.