Key regions: China, Australia, Germany, United Kingdom, France
The Web Push Advertising market in Thailand has been experiencing significant growth in recent years.
Customer preferences: Thai consumers have shown a strong preference for digital platforms and online advertising. With the increasing popularity of smartphones and internet penetration, more and more people are accessing the internet on a daily basis. This has created a favorable environment for web push advertising, as it allows advertisers to reach a large audience through push notifications on websites and mobile apps.
Trends in the market: One of the key trends in the Web Push Advertising market in Thailand is the shift towards personalized and targeted advertising. Advertisers are increasingly using data analytics and machine learning algorithms to analyze consumer behavior and preferences. This allows them to deliver customized push notifications to individual users, increasing the effectiveness of their advertising campaigns. Another trend in the market is the growing popularity of mobile advertising. As more and more people in Thailand use smartphones to access the internet, advertisers are focusing their efforts on mobile advertising channels. Web push advertising is particularly effective on mobile devices, as it allows advertisers to reach users directly on their home screens.
Local special circumstances: Thailand has a large and growing e-commerce market, with a significant number of consumers making online purchases on a regular basis. This has created a strong demand for web push advertising among e-commerce companies and online retailers. These businesses are using push notifications to promote special offers, discounts, and new products to their customers, driving sales and increasing customer engagement.
Underlying macroeconomic factors: The growing Web Push Advertising market in Thailand is also influenced by several macroeconomic factors. The country has a strong and stable economy, with a growing middle class that has disposable income to spend on products and services. This has created a favorable environment for advertisers, as they can target consumers who are more likely to make purchases. In addition, Thailand has a young and tech-savvy population, with a high level of internet penetration. This makes it easier for advertisers to reach their target audience through web push advertising. The government has also been supportive of the digital economy, implementing policies and initiatives to promote the growth of the sector. Overall, the Web Push Advertising market in Thailand is experiencing significant growth due to customer preferences for digital platforms, the shift towards personalized advertising, the growing popularity of mobile advertising, the strong demand from e-commerce companies, and the favorable macroeconomic factors. As the market continues to evolve, it is expected to offer new opportunities for advertisers to reach and engage with consumers in Thailand.
Data coverage:
The data encompasses B2B enterprises. Figures are based on Web Push Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers the advertising budget used for distributing web push advertisements.Modeling approach:
Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), as well as performance factors (e.g., user penetration, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet coverage. This data helps us estimate the market size for each country individually.Forecasts:
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, 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. The main drivers are GDP per capita, consumer spending per capita, and internet users.Additional notes:
The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.
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