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 Taiwan is experiencing significant growth due to changing customer preferences and the increasing popularity of mobile apps.
Customer preferences: In recent years, there has been a shift in customer preferences towards mobile apps as a means of accessing information and entertainment. This has led to a surge in the number of mobile apps available in the market, creating a highly competitive environment for app developers. In order to monetize their apps and generate revenue, developers are increasingly turning to in-app advertising as a way to reach their target audience.
Trends in the market: One of the key trends in the In-App Advertising market in Taiwan is the growing adoption of programmatic advertising. Programmatic advertising allows advertisers to automate the process of buying and selling ad inventory, making it more efficient and cost-effective. This trend is driven by the increasing availability of data and analytics, which enable advertisers to target their ads more effectively and measure their impact. Another trend in the market is the rise of native advertising. Native ads are designed to blend in with the content of the app, making them less intrusive and more engaging for users. This type of advertising is particularly popular in Taiwan, where users are highly receptive to personalized and relevant content.
Local special circumstances: Taiwan has a highly connected population, with a high smartphone penetration rate and a strong culture of mobile app usage. This makes it an attractive market for in-app advertisers, as they have a large and engaged audience to target. Additionally, Taiwan has a vibrant startup ecosystem, with many innovative app developers looking to monetize their products. This creates a favorable environment for the growth of the In-App Advertising market.
Underlying macroeconomic factors: The strong economic growth in Taiwan has contributed to the growth of the In-App Advertising market. As the economy expands, consumers have more disposable income to spend on mobile apps and in-app purchases. This provides a larger market for advertisers to target and generates more revenue for app developers. Furthermore, the increasing smartphone penetration rate in Taiwan has also played a significant role in the growth of the In-App Advertising market. As more people own smartphones and spend more time on mobile apps, the demand for in-app advertising increases. Advertisers are able to reach a larger audience and engage with them in a more personalized and interactive way. In conclusion, the In-App Advertising market in Taiwan is experiencing rapid growth due to changing customer preferences, the increasing popularity of mobile apps, and favorable macroeconomic factors. Advertisers are adopting programmatic advertising and native advertising to reach their target audience more effectively, while app developers are monetizing their products through in-app advertising. With a highly connected population and a strong culture of mobile app usage, Taiwan provides a fertile ground for the growth of the In-App Advertising market.
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