eMagazine Advertising - Montenegro

  • Montenegro
  • Revenue in the eMagazine Advertising is projected to reach US$3.66m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2027) of 6.17%, resulting in a projected market volume of US$4.38m by 2027.
  • In the eMagazine Advertising, the number of users is expected to amount to 156.0k users by 2027.
  • User penetration will be 17.4% in 2024 and is expected to hit 24.9% by 2027.
  • In global comparison, most revenue will be generated in the United States (US$6,627.00m in 2024).
  • The average revenue per user (ARPU) in the eMagazine Advertising is projected to amount to US$33.58 in 2024.

Key regions: Asia, France, Europe, Germany, South Korea

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Currency

Revenue

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Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Source: Statista Market Insights

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Most recent update: Mar 2024

Source: Statista Market Insights

Digital

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This report presents a comprehensive analysis and additional information on the eMagazine Advertising market, in a PDF format.
ePublishing: market data & analysis - Background ePublishing: market data & analysis - Cover

Users

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Most recent update: Mar 2024

Source: Statista Market Insights

Global Comparison

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Most recent update: Mar 2024

Source: Statista Market Insights

Methodology

Data coverage:

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

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.

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