Platform Delivery - ASEAN

ASEAN

Highlights

The Platform Delivery market in ASEAN is projected to reach a revenue of US$8.37bn in 2024.
This market is expected to show an annual growth rate (CAGR 2024-2029) of 6.41%, resulting in a projected market volume of US$11.42bn by 2029.
By 2029, the number of users in the Platform Delivery market is expected to amount to 92.0m users.
The user penetration is projected to be 11.0% in 2024 and is expected to increase to 12.8% by 2029.
The average revenue per user (ARPU) is expected to be US$110.30.
In global comparison, China is anticipated to generate the highest revenue in the Platform Delivery market, reaching US$166.80bn in 2024.
Furthermore, China is expected to have the highest user penetration rate in the Platform Delivery market, projected at 52.8%.
In ASEAN, the platform delivery market is experiencing rapid growth, driven by the increasing demand for convenient and efficient delivery services in countries like Singapore, Indonesia, and Thailand.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in ASEAN has been experiencing significant growth in recent years, driven by a number of factors including increasing demand for online shopping, the rise of e-commerce platforms, and advancements in technology.

Customer preferences: Consumers in ASEAN are increasingly turning to online shopping as a convenient and cost-effective way to purchase goods. This trend has been driven by the growing availability of e-commerce platforms, which offer a wide range of products at competitive prices. As a result, there is a growing demand for fast and reliable delivery services that can ensure that goods are delivered quickly and efficiently.

Trends in the market: One of the key trends in the Platform Delivery market in ASEAN is the growing use of technology to improve delivery services. This includes the use of drones and other autonomous vehicles to deliver goods, as well as the use of advanced analytics and machine learning algorithms to optimize delivery routes and improve delivery times. Another trend is the growing focus on sustainability, with many companies looking to reduce their carbon footprint by using electric vehicles and other environmentally friendly delivery options.

Local special circumstances: There are a number of local special circumstances that are driving the growth of the Platform Delivery market in ASEAN. For example, the region's large and growing population, combined with increasing urbanization, has created a significant demand for delivery services. Additionally, the region's diverse geography and infrastructure challenges have made it difficult for traditional delivery methods to reach all areas, creating an opportunity for companies that can offer innovative and flexible delivery solutions.

Underlying macroeconomic factors: The Platform Delivery market in ASEAN is also being shaped by a number of underlying macroeconomic factors. For example, the region's growing middle class is driving demand for higher-quality goods and services, including faster and more reliable delivery services. Additionally, the region's increasing integration into the global economy is creating new opportunities for businesses to expand their operations and reach new customers. Finally, advancements in technology are making it easier and more cost-effective for companies to offer delivery services, which is helping to drive growth in the market.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.