In-game Advertising - Norway | Statista Market Forecast

The In-game Advertising market in Norway is projected to reach a revenue of US$132.90m in 2024.
With an annual growth rate (CAGR 2024-2027) of 11.32%, the market volume is expected to reach US$183.40m by 2027.
By that year, the number of users in the In-game Advertising market is expected to be 0.00.
User penetration in the market is forecasted to be 0.00 in 2024, and it is expected to remain at 0.00 by 2027.
In comparison to other countries, China is projected to generate the highest revenue in the In-game Advertising market, with US$46.61bn in 2024.
The average revenue per user (ARPU) in the In-game Advertising market is projected to be US$28.51 in 2024.
Norway's in-game advertising market is thriving, with game developers incorporating native ads seamlessly into popular Norwegian mobile games.

Definition:

In-game advertising refers to the practice of incorporating advertisements into video games. This can take various forms, including static or dynamic ads that are displayed in the game environment, product placements where real-world brands are integrated into the game content, or sponsored content that is created specifically for the game. The purpose of in-game advertising is typically to generate revenue for the game developer or publisher, while providing advertisers with a new and potentially lucrative marketing channel.

Additional Information:

The market comprises revenues and average revenue per user. Figures are based on in-app advertising spending and exclude agency commissions, rebates, production costs, and taxes. For more information on the data displayed, use the info button right next to the boxes.

Mobile app in-game advertising, such as advertising in PUBG mobile
In-game advertising for console and PC games, such as advertising in Fortnite

Advertising form non gaming apps, such as shopping apps
Advertising displayed on webbrowsers, such as Fortnite advertising on a website

In recent years, in-game advertising has become increasingly popular, with more game developers and publishers incorporating it into their titles. As the number of gamers continues to rise, advertisers are recognizing the potential of this medium and investing more in this space.

One of the key trends in in-game advertising is the use of targeted ads. By leveraging user data and machine learning algorithms, advertisers can target ads to specific audiences, making them more relevant and effective. This trend is likely to continue as advertisers seek to optimize their ad spend and improve their ROI. Many games now feature in-app purchases, which provide an additional opportunity for advertisers to promote their products or services. For example, a game might offer players the chance to earn extra points or in-game currency by watching a short ad.

According to our research, the cloud gaming market is projected to see substantial growth in the coming years. By 2027, the market size is expected to reach US$46.06 billion, with a Compound Annual Growth Rate (CAGR) of 9.33%.

Data coverage:

The data encompasses B2C revenues. Figures are based on in-app advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers ad spending on advertisements displayed within a mobile application.

Modeling approach / Market size:

The market size is determined through a combined top-down and bottom-up approach. We use market data from independent databases, the number of application downloads from data partners, survey results taken from our primary research (e.g., the Statista Global Consumer Survey), and third-party reports to analyze and estimate global in-app advertising spending. To analyze the markets, we start by researching digital advertising in mobile applications for each advertising format, incidents of in-app and mobile browser usage, as well as the time spent in mobile apps by categories. 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, mobile users, and digital consumer spending. Lastly, we benchmark key countries and/or regions (e.g., global, the United States, China) with external sources.

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.

Additional Notes:

The market is updated twice per year in case market dynamics change. GCS data is unbiased for representativeness.

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