Definition:
In-app advertising refers to the promotion of products or services within a mobile application and to ad spending on displaying advertisements within an application. This includes various formats, such as banner ads, interstitial ads, video ads, and native ads, that are integrated into the mobile app's user interface and appear as part of the app's content. The ads are usually shown to target users based on their preferences and online behavior.
Structure:
In-app advertising consists of 21 app categories, books & reference, business, education, entertainment, finance, food & drink, game, health & fitness, lifestyle, medical, music, navigation, news & magazines, photo & video, productivity, shopping, social networking, sports, travel, utilities, and weather.
Additional information:
In-app advertising comprises advertising spending, users, and average revenue per user. The market only displays B2B spending. Figures are based on in-app advertising spending and exclude agency commissions, rebates, production costs, and taxes. For more information on the data displayed and definition of each category, use the info button right next to the boxes.Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Oct 2024
Source: Statista Market Insights
Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.
Most recent update: Mar 2024
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Source: Statista Company Insights
The In-App Advertising market in Nordics has been experiencing significant growth in recent years, driven by changing customer preferences and the increasing popularity of mobile applications. Customer preferences in the Nordics have shifted towards mobile usage, with a high percentage of the population owning smartphones and spending a considerable amount of time on mobile apps. This has created a lucrative market for in-app advertising, as advertisers recognize the opportunity to reach a large and engaged audience. Furthermore, customers in the Nordics are known for their high purchasing power and willingness to spend on digital services, making them an attractive target for advertisers. Trends in the market indicate that in-app advertising is becoming more personalized and targeted. Advertisers are leveraging data analytics and machine learning algorithms to deliver relevant and contextually appropriate ads to users. This trend is driven by the increasing demand for personalized experiences and the need for advertisers to maximize the effectiveness of their campaigns. Additionally, the use of native ads, which blend seamlessly with the app's content, is gaining popularity in the region. This approach provides a non-intrusive and user-friendly advertising experience, resulting in higher engagement and conversion rates. Local special circumstances in the Nordics contribute to the growth of the in-app advertising market. The region has a highly developed digital infrastructure and a tech-savvy population, creating a favorable environment for mobile app usage and advertising. Furthermore, the Nordics have a strong tradition of innovation and entrepreneurship, leading to the emergence of successful startups and app developers. This vibrant ecosystem provides opportunities for advertisers to collaborate with local developers and reach a global audience. Underlying macroeconomic factors also play a role in the development of the in-app advertising market in the Nordics. The region has a stable and prosperous economy, with high levels of disposable income and consumer spending. This economic stability creates a conducive environment for advertisers to invest in digital advertising and explore new opportunities. Additionally, the Nordics have a well-established regulatory framework that protects user privacy and ensures transparency in advertising practices. This regulatory environment fosters trust and confidence among users, further driving the growth of in-app advertising. In conclusion, the In-App Advertising market in Nordics is experiencing significant growth due to changing customer preferences, the increasing popularity of mobile apps, and the region's favorable business environment. The market is characterized by personalized and targeted advertising, the use of native ads, and collaboration between advertisers and local developers. These trends, along with the region's strong digital infrastructure and stable economy, contribute to the continued growth and development of the in-app advertising market in the Nordics.
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2B enterprises. 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:
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 Consumer Insights Global 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 data is modeled using current exchange rates. The market is updated twice a year.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights