Online University Education - China

China

Highlights

Revenue in the Online University Education market is projected to reach US$3.22bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 5.87%, resulting in a projected market volume of US$4.28bn by 2029.
In the Online University Education market, the number of users is expected to amount to 2.1m users by 2029.
User penetration will be 0.1% in 2024 and is expected to hit 0.1% by 2029.
The average revenue per user (ARPU) is expected to amount to US$2.01k.
In global comparison, most revenue will be generated United States (US$82.30bn in 2024).
With a projected rate of 2.3%, the user penetration in the Online University Education market is highest United States.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Online University Education market in China has witnessed significant growth in recent years.

Customer preferences: The increasing popularity of online education can be attributed to several customer preferences. Firstly, online university education offers flexibility and convenience to students who can access lectures and course materials at their own pace and from any location. This is particularly appealing to working professionals and individuals with busy schedules. Secondly, online education provides a wider range of course options, allowing students to choose from a variety of subjects and programs that may not be available in traditional universities. Additionally, online education often offers lower tuition fees compared to traditional universities, making it more affordable for many students.

Trends in the market: One of the key trends in the online university education market in China is the rising demand for professional and vocational courses. As the job market becomes increasingly competitive, individuals are seeking to enhance their skills and knowledge in specific areas to improve their employability. Online education platforms are catering to this demand by offering a wide range of professional courses in fields such as business, technology, and healthcare. Another trend is the integration of advanced technologies such as artificial intelligence and virtual reality into online education platforms. These technologies enhance the learning experience by providing interactive and immersive learning environments.

Local special circumstances: China has a large population and a high demand for quality education. However, there is a shortage of traditional universities to accommodate the growing number of students. Online university education provides a solution to this problem by offering access to education to a larger number of individuals. Additionally, China has a vast geographical area, and many individuals living in rural or remote areas may not have access to quality education. Online education platforms bridge this gap by providing educational resources to individuals in these areas.

Underlying macroeconomic factors: China's rapid economic growth and increasing internet penetration have played a significant role in the development of the online university education market. The country's middle class is expanding, and individuals are willing to invest in their education to improve their career prospects. Furthermore, the government has been supportive of online education initiatives and has implemented policies to promote the development of the sector. These factors have created a favorable environment for the growth of the online university education market in China. In conclusion, the Online University Education market in China is experiencing significant growth due to customer preferences for flexibility, a wide range of course options, and affordability. The market is also driven by the rising demand for professional and vocational courses and the integration of advanced technologies. China's large population, shortage of traditional universities, and geographical challenges further contribute to the growth of the online education market. The country's economic growth and government support for the sector also play a crucial role in its development.

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.