Definition:
The online sports betting market refers to the segment of the online gambling industry that involves placing bets on various sports events over the internet. This includes a wide range of sports, such as football, basketball, baseball, horse racing, tennis, and many others. Online sports betting allows customers to place bets on the outcome of sporting events in real-time, either before or during the event. These bets can be placed through various online platforms, including websites and mobile apps, which are often operated by licensed online sportsbook operators.Additional Information
Data includes revenue figures in Gross Gambling Revenue (GGR), which is the total amount of bets placed by customers minus the amount paid out in winnings, Users, average revenue per user (ARPU), user penetration rate, and a breakdown of revenue shares of the total betting market. User and revenue figures represent B2C services.Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
Most recent update: Aug 2024
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights