Online Learning Platforms - New Zealand

  • New Zealand
  • Revenue in the Online Learning Platforms market is projected to reach €30.35m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 10.36%, resulting in a projected market volume of €45.02m by 2028.
  • In the Online Learning Platforms market, the number of users is expected to amount to 1.2m users by 2028.
  • User penetration will be 16.9% in 2024 and is expected to hit 23.0% by 2028.
  • The average revenue per user (ARPU) is expected to amount to €36.01.
  • In global comparison, most revenue will be generated in China (€37,250.00m 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

 
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Analyst Opinion

The Online Learning Platforms market in New Zealand has been experiencing significant growth in recent years, driven by changing customer preferences and technological advancements.

Customer preferences:
Customers in New Zealand are increasingly turning to online learning platforms as a convenient and flexible way to acquire new skills and knowledge. The demand for online courses has been fueled by the desire for lifelong learning and the need to upskill in a rapidly changing job market. Online learning platforms offer a wide range of courses across various subjects, allowing individuals to learn at their own pace and from the comfort of their own homes. This flexibility has resonated with customers, who appreciate the ability to fit learning around their busy schedules.

Trends in the market:
One of the key trends in the online learning platforms market in New Zealand is the growing popularity of niche courses. Customers are seeking specialized knowledge and skills in specific areas, such as digital marketing, coding, and data analysis. Online learning platforms are catering to this demand by offering a wide range of niche courses that are tailored to the needs of different industries and professions. Another trend in the market is the increasing adoption of mobile learning. With the widespread use of smartphones and tablets, customers are now able to access online courses anytime, anywhere. Online learning platforms are optimizing their platforms for mobile devices, allowing customers to learn on the go and make the most of their time.

Local special circumstances:
New Zealand has a relatively small population compared to other countries, which presents both challenges and opportunities for the online learning platforms market. On one hand, the limited customer base means that online learning platforms need to focus on targeting specific niches and providing high-quality courses to attract customers. On the other hand, the small population also means that there is a potential for growth as more individuals recognize the benefits of online learning and seek to upskill.

Underlying macroeconomic factors:
The growth of the online learning platforms market in New Zealand is also influenced by underlying macroeconomic factors. The country has a strong education system and a culture that values lifelong learning, which creates a favorable environment for the adoption of online learning platforms. Additionally, the increasing digital literacy and internet penetration in New Zealand have made online learning more accessible to a larger segment of the population. In conclusion, the Online Learning Platforms market in New Zealand is experiencing growth due to changing customer preferences, including a desire for lifelong learning and the need to upskill in a rapidly changing job market. Niche courses and mobile learning are emerging trends in the market, catering to the demand for specialized knowledge and flexible learning options. New Zealand's small population presents both challenges and opportunities for the market, while underlying macroeconomic factors such as a strong education system and increasing digital literacy contribute to its growth.

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.

Vue d’ensemble

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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