ePapers Advertising - Iran

  • Iran
  • Revenue in the ePapers Advertising market is projected to reach €32.85m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2027) of 9.58%, resulting in a projected market volume of €43.22m by 2027.
  • In the ePapers Advertising market, the number of users is expected to amount to 17.9m users by 2027.
  • User penetration will be 14.5% in 2024 and is expected to hit 19.8% by 2027.
  • In global comparison, most revenue will be generated in the United States (€5,074.00m in 2024).
  • The average revenue per user (ARPU) in the ePapers Advertising market is projected to amount to €2.57 in 2024.

Key regions: Germany, Asia, Japan, South Korea, China

 
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Methodology

Data coverage:

Data encompasses enterprises (B2B). Figures are based on ePapers advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers advertising in ePapers.

Modeling approach:

Submarket size is determined by a combined top-down and bottom-up approach. We use industry association reports, third-party reports, and survey results from our primary research (e.g., Statista Global Consumer Survey) 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, population, urban population, and education index.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market. For instance, the S-curve function is well suited to forecast digital products due to the non-linear growth of technology adoption, whereas exponential trend smoothing (ETS) is more suited for projecting steady growth in traditional advertising markets.

Additional notes:

Data is modeled using current exchange rates. The impacts of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice per year in case market dynamics change.

Visión general

  • Revenue
  • Users
  • Global Comparison
  • Methodology
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