Shopping - Thailand

Thailand

In 2022, the projected total revenue in the Shopping market in Thailand is expected to reach €58.83m.
This indicates a significant growth potential in the market.
Furthermore, it is anticipated that the total revenue will continue to grow at an annual rate of 11.89% from 2022 to 2027, resulting in a projected market volume of €105.90m by 2027.
When examining the revenue sources within the Shopping market, it is projected that in-app purchase (IAP) revenue will reach €3.85m in 2022.
Additionally, paid app revenue is expected to reach €0.09m in the same year.
Advertising revenue is also anticipated to contribute significantly, with a projected amount of €54.89m in 2022.
The number of downloads in the Shopping market is projected to reach 6.69m downloads in 2022.
This indicates a strong demand for shopping-related apps and services.
Currently, the average revenue per download is expected to amount to €8.79.
In a global comparison, it is worth noting that in China generates the highest revenue in the Shopping market, with a projected amount of €9,583.00m in 2022.
This showcases the dominance of the Chinese market in this segment.

Key regions: China, Asia, Germany, United States, South Korea

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

Since the start of Apple, Inc.'s App Store in 2008 with around 500 apps, mobile apps have come to dominate the digital economy and have quickly outpaced the demand for desktop applications. As of 2021, the Apple App Store and Google Play Store had more than 5 million apps combined. Because many apps from the West are not available in China, many new app stores have emerged there. Digital lifestyles around the world now depend on adopting mobile apps, especially when it comes to social networking. The games industry has also been thoroughly transformed by the app revolution and is demonstrated by the fact that the games category is the largest and highest-grossing app category.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on revenue from in-app purchases, revenue from the purchase of apps, and revenue from advertising, as well as the number of downloads for each app category.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use market data from independent databases and third-party sources, current trends, and reported performance indicators of top market players. In addition, we use relevant key market indicators and data from country-specific associations, such as smartphone users and mobile broadband connections. 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 and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP/capita, level of digitization, and consumer attitudes toward apps.

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 case market dynamics change.