Key regions: China, Europe, United States, Asia, Germany
The In-App Advertising market in Thailand is experiencing significant growth and development. With the increasing popularity of smartphones and mobile applications, advertisers are increasingly turning to in-app advertising as a way to reach their target audience.
Customer preferences: Thai consumers are spending more time on their smartphones and using mobile applications for various activities such as social media, gaming, and shopping. This shift in consumer behavior has created a lucrative opportunity for advertisers to reach their target audience through in-app advertising.
Trends in the market: One of the key trends in the In-App Advertising market in Thailand is the rise of programmatic advertising. Programmatic advertising allows advertisers to automate the buying and selling of ad inventory, making it more efficient and cost-effective. This trend is driven by the increasing demand for personalized and targeted advertising, as well as the need for advertisers to reach their audience at the right time and in the right context. Another trend in the market is the use of native advertising in mobile applications. Native ads are designed to blend in with the app's content and provide a seamless user experience. This type of advertising is gaining popularity among advertisers in Thailand as it allows them to engage with their audience in a non-disruptive way.
Local special circumstances: Thailand has a large and growing smartphone user base, with a high percentage of the population owning a smartphone. This presents a unique opportunity for advertisers to leverage in-app advertising to reach a wide audience. Additionally, the Thai market has a strong preference for local content and brands, which advertisers can tap into through targeted in-app advertising campaigns.
Underlying macroeconomic factors: Thailand's economy has been growing steadily in recent years, with increasing disposable income and consumer spending. This has contributed to the growth of the In-App Advertising market as advertisers have more resources to invest in digital advertising. Furthermore, the government's push for digital transformation and the development of the digital economy has created a favorable environment for the growth of in-app advertising in Thailand. In conclusion, the In-App Advertising market in Thailand is experiencing significant growth and development due to the increasing popularity of smartphones and mobile applications. Advertisers are leveraging programmatic advertising and native advertising to reach their target audience in a personalized and non-disruptive way. With a large and growing smartphone user base, as well as a strong preference for local content and brands, Thailand presents a lucrative opportunity for advertisers to tap into the in-app advertising market.
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.
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