Video Streaming (SVoD) - Czechia

Czechia

Highlights

The Video Streaming (SVoD) market) market in Czechia is projected to generate a revenue of US$67.26m in 2024.
It is expected to experience an annual growth rate (CAGR 2024-2027) of 1.58%, resulting in a market volume of US$70.50m by 2027.
When compared globally, United States is expected to generate the highest revenue in the Video Streaming (SVoD) market) market, reaching US$43.97bn in 2024.
The average revenue per user (ARPU) in the Czechian Video Streaming (SVoD) market) market is projected to be US$59.56 in 2024.
By 2027, the number of users in the Czechian Video Streaming (SVoD) market) market is expected to reach 1.1m users.
The user penetration rate is estimated to be 10.5% in 2024 and is expected to increase to 10.6% by 2027.
The popularity of Czechia's homegrown video streaming platforms is steadily rising among local consumers.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Video-on-Demand market. Video-on-demand is defined as premium over-the-top video-on-demand (VoD) content distributed over the internet. This includes pay-per-view (TVoD), video downloads (EST), and video streaming (SVoD). All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. This spending factors in discounts, margins, and taxes.

Modeling approach / market size:

The market size is determined through a bottom-up 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 Global Consumer 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 various macroeconomic indicators, historical developments, current trends, and reported performance indicators of key market players. In particular, we consider average prices and annual purchase frequencies.

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 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 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). GCS data is reweighted for representativeness.