The Cinema Tickets market consists of the online sale of tickets for movies shown at the cinema; online reservations that are paid for in the cinema are not included. The market covers digital tickets with QR codes, as well as the purchase of cinema tickets that are paid for online but printed at the cinema. Users refer to active ticket buyers, independent of the number of tickets purchased.
Data icludes revenue figuresin Gross Merchandise Value (GMV), Users, average revenue per user (ARPU), and user penetration rate. User and revenue figures represent B2C services.
Online sale of cinema tickets
Digital tickets with QR codes
Tickets that are paid for online but printed at the cinema
Cinema tickets for now have the lowest global revenues in this market, but yet the highest growth rates. Growth is happening mostly due to Asian countries, e.g. China, where online movie ticket booking is highly invested in by tech giants like WeChat or AliPay. But in the rest of the world the cinema market is struggling - in the U.S., movie ticket admissions hit their lowest point since 1995 in 2017. And in the times of video streaming, the cinema market as a whole is far from being an easy market in general, and we expect cinema ticketing services more to cooperate more with social networks and blend into other eCommerce activities rather than have a standalone environment for itself.
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.
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.
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.