Retail Delivery - ASEAN

ASEAN

Highlights

The Reail Delivery market in ASEAN is anticipated to witness a significant growth in revenue, with projections estimating it to reach US$18.89bn by 2024.
Furthermore, it is expected to exhibit a promising compound annual growth rate (CAGR) of 17.54% from 2024 to 2029, resulting in a projected market volume of US$42.37bn by 2029.
In terms of user base, the Reail Delivery market in ASEAN is projected to have approximately 138.4m users users by 2029.
The user penetration rate, which is the proportion of the population using retail delivery services, is estimated to be 14.0% in 2024 and is expected to rise to 19.3% by 2029.
On average, each user in the ASEAN Reail Delivery market is expected to contribute an average revenue of US$195.00.
When compared globally, it is worth noting that United States is anticipated to generate the highest revenue in the Reail Delivery market, with projections estimating it to reach US$195.40bn by 2024.
Interestingly, United States is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
The retail delivery market in Singapore is thriving, with a surge in online shopping and innovative last-mile delivery solutions.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The retail delivery market in ASEAN is experiencing significant growth due to several factors, such as the rise of e-commerce and the increasing demand for convenience and speed in delivery services.

Customer preferences: Customers in ASEAN are increasingly turning to online shopping, with e-commerce sales projected to grow rapidly in the coming years. As a result, there is a growing demand for fast and reliable delivery services that can meet the needs of these customers. Consumers also value convenience and flexibility in delivery options, such as the ability to choose a specific delivery time or location.

Trends in the market: One trend in the retail delivery market in ASEAN is the rise of same-day and next-day delivery services. Logistics companies are investing in technology and infrastructure to enable faster and more efficient delivery, such as using drones and other automated vehicles. Another trend is the growth of last-mile delivery services, which focus on delivering goods directly to customers' homes or workplaces. This has led to the emergence of new delivery models, such as crowd-sourced delivery and on-demand delivery platforms.

Local special circumstances: The retail delivery market in ASEAN is diverse, with each country having its own unique set of challenges and opportunities. For example, in Indonesia, the world's fourth most populous country, there are significant logistical challenges due to the country's vast geography and infrastructure limitations. In contrast, Singapore has a highly developed logistics industry and a small land area, which makes it ideal for testing new delivery technologies and models.

Underlying macroeconomic factors: The growth of the retail delivery market in ASEAN is driven by several macroeconomic factors, such as the region's young and tech-savvy population, rising disposable incomes, and increasing urbanization. These factors have contributed to the growth of e-commerce and the demand for faster and more efficient delivery services. Additionally, the ASEAN region is home to several rapidly growing economies, such as Indonesia and Vietnam, which present significant opportunities for logistics companies to expand their operations.

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.