Data coverage:
The data encompasses B2C revenues. Figures are based on merchandise spending. All monetary figures refer to consumer spending on goods in the respective segment, which can be online and offline.
Modeling approach / Market size:
Market sizes are determined through a combination of bottom-up and top-down approaches, building on specific predefined factors for each market segment. As a basis for evaluating markets, 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., Consumer Insights), as well as performance factors (e.g., user penetration, price per ticket, price on sport goods). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet consumption. 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 or linear forecasting, as it fits the development of either strong growing markets or more sophistacted and saturated markets, such as soccer in Europe.
Additional notes:
The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. 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). We also account for the different cycles of international tournaments, such as world cups or continent cups. Consumer Insights data is reweighted for representativeness.
