Market Insights Advertising & Media Metaverse

Metaverse eCommerce - ASEAN

ASEAN

The projected value in the Metaverse eCommerce market for ASEAN is estimated to reach US$1.1bn by 2024.
This market segment is expected to demonstrate a compound annual growth rate (CAGR 2024-2030) of 41.73%, resulting in a projected market volume of US$8.5bn by 2030.
in China is the leading contributor to this market, with a projected market volume of US$10.2bn by 2024.
In terms of user base, the number of users in the Metaverse eCommerce market for ASEAN is expected to reach 128.8m users by 2030.
User penetration is projected to be 6.8% in 2024 and is expected to rise to 20.1% by 2030.
The average value per user (ARPU) is estimated to be US$25.2.
In the rapidly growing Metaverse eCommerce market, ASEAN countries like Singapore are leading the way with innovative virtual shopping experiences for consumers.

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Analyst Opinion

The Metaverse eCommerce market in ASEAN is experiencing significant growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. Customer preferences in the ASEAN region have shifted towards immersive and interactive online experiences.

Consumers are increasingly seeking out virtual shopping experiences that allow them to explore virtual stores, try on virtual clothing, and interact with products in a virtual environment. This preference for a more engaging and personalized shopping experience is driving the growth of the Metaverse eCommerce market in ASEAN. Trends in the market indicate that the adoption of Metaverse eCommerce platforms is on the rise in ASEAN.

Companies are leveraging virtual reality (VR) and augmented reality (AR) technologies to create immersive and interactive shopping experiences for their customers. This includes virtual showrooms, virtual try-on features, and virtual product demonstrations. The integration of these technologies into the eCommerce landscape is enhancing the overall shopping experience and driving customer engagement and loyalty.

Local special circumstances in ASEAN, such as a large and growing young population with high digital literacy, are contributing to the development of the Metaverse eCommerce market. The region has a high smartphone penetration rate and a strong internet infrastructure, making it conducive for the adoption of Metaverse eCommerce platforms. Additionally, the ASEAN region is known for its vibrant and diverse culture, which presents unique opportunities for companies to create virtual experiences that cater to the specific tastes and preferences of local consumers.

Underlying macroeconomic factors are also playing a role in the development of the Metaverse eCommerce market in ASEAN. The region has a rapidly growing middle class with increasing disposable income, which is driving consumer spending on online shopping. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping in ASEAN, as consumers seek safer and more convenient ways to make purchases.

The combination of these factors is creating a favorable environment for the growth of the Metaverse eCommerce market in ASEAN. In conclusion, the Metaverse eCommerce market in ASEAN is experiencing significant growth and development due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The adoption of immersive and interactive online shopping experiences, the integration of VR and AR technologies, the young and digitally-savvy population, and the increasing disposable income are all contributing to the growth of the Metaverse eCommerce market in ASEAN.

Methodology

Data coverage:

Figures are based on in-app spending, consumer spending, in-game spending, app downloads, and investment and funding data.

Modeling approach / Market size:

Market sizes are determined by a top-down approach, based on a specific rationale for each market market. As a basis for evaluating markets, we use reports, third-party studies, and research companies. Next we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, and internet penetration rates. This data helps us to 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 particular market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are consumer spending per capita, level of digitalization, and cloud revenues.

Additional Notes:

The market is updated twice per year in case market dynamics change. Consumer Insights data is unbiased for representativeness.