Online Lottery - Southern Africa

  • Southern Africa
  • Revenue in the Online Lottery market is projected to reach US$111.40m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 6.93%, resulting in a projected market volume of US$155.70m by 2029.
  • In the Online Lottery market, the number of users is expected to amount to 0.7m users by 2029.
  • User penetration will be 0.8% in 2024 and is expected to hit 1.1% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$214.60.
  • In global comparison, most revenue will be generated in the United States (US$4,391.00m in 2024).
  • With a projected rate of 6.5%, the user penetration in the Online Lottery market is highest in South Korea.
 
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Analyst Opinion

The Online Lottery market in Southern Africa has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all played a role in driving this development. Customer preferences in Southern Africa have shifted towards online lottery platforms due to their convenience and accessibility. With the increasing penetration of smartphones and internet connectivity in the region, more people are opting to participate in lottery games online. This trend is also fueled by the desire for anonymity and the ability to play at any time and from anywhere. Trends in the market indicate that online lottery platforms are becoming more sophisticated and user-friendly. Companies are investing in advanced technology to create seamless and immersive gaming experiences. This includes features such as interactive gameplay, real-time notifications, and secure payment options. Additionally, there is a growing trend of online lottery platforms offering a wide variety of games to cater to different customer preferences. Local special circumstances in Southern Africa have also contributed to the development of the online lottery market. Traditional lottery games have long been popular in the region, and the transition to online platforms has been a natural progression. Furthermore, the lack of physical lottery retailers in some areas has made online platforms the only viable option for many consumers. This has created a niche market for online lottery providers to tap into. Underlying macroeconomic factors have also played a role in the growth of the online lottery market in Southern Africa. The region has experienced economic growth and an expanding middle class, resulting in increased disposable income. This has led to higher levels of discretionary spending, including participation in online lottery games. Additionally, the COVID-19 pandemic has accelerated the shift towards online platforms as people sought entertainment options from the safety of their homes. In conclusion, the Online Lottery market in Southern Africa has been growing due to customer preferences for convenience and accessibility, trends towards more sophisticated online platforms, local special circumstances such as the lack of physical lottery retailers, and underlying macroeconomic factors such as economic growth and the impact of the COVID-19 pandemic. As these factors continue to influence the market, the online lottery industry is expected to further expand in Southern Africa.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Gambling Revenue (GGR) and represent what consumers pay for these products and services.

Modeling approach:

Market size is determined through a Top-Down approach. We use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), as well as performance factors (e.g., user penetration, price per product, usage) to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, number of internet users, and internet consumption.

Forecasts:

We apply a variety of forecasting techniques, depending on the behavior of the relevant market. For instance, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and 4G coverage.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.

Overview

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