Key regions: Germany, Brazil, Japan, South Korea, India
The Online Learning Platforms market in BRICS is experiencing significant growth and development due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in the BRICS countries are driving the growth of the Online Learning Platforms market. With the increasing demand for education and skill development, individuals are seeking flexible and convenient ways to learn. Online learning platforms provide the opportunity to access a wide range of courses and educational resources from anywhere and at any time. This flexibility is particularly appealing to busy professionals, students, and individuals living in remote areas with limited access to traditional educational institutions. Trends in the market also contribute to the growth of the Online Learning Platforms market in BRICS. The advancements in technology and the widespread availability of internet access have made online learning more accessible than ever before. The increasing adoption of smartphones and other mobile devices has further facilitated the growth of online learning platforms, as individuals can easily access courses and learning materials on the go. Additionally, the COVID-19 pandemic has accelerated the adoption of online learning, as educational institutions have shifted to remote learning models to ensure continuity of education. Local special circumstances in each BRICS country play a role in shaping the Online Learning Platforms market. For example, in Brazil, the government has been investing in online learning initiatives to improve access to education in remote areas and to address the shortage of qualified teachers. In Russia, the government has implemented digitalization programs in the education sector, which have led to increased adoption of online learning platforms. In India, the government's emphasis on digital literacy and skill development has created a favorable environment for the growth of online learning platforms. In China, the large population and the increasing demand for lifelong learning opportunities have contributed to the expansion of the online learning market. Underlying macroeconomic factors also contribute to the growth of the Online Learning Platforms market in BRICS. The rising middle class in these countries has increased the demand for quality education and skill development. Economic growth and urbanization have also led to increased awareness and demand for online learning platforms. Additionally, the BRICS countries have a young and tech-savvy population, which further drives the adoption of online learning platforms. In conclusion, the Online Learning Platforms market in BRICS is experiencing significant growth and development due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The increasing demand for flexible and convenient learning options, advancements in technology, government initiatives, and the rising middle class are all contributing to the growth of the market in these countries.
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.
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