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Quick Commerce - Southeast Asia

Southeast Asia

The Quick Commerce market in Southeast Asia is projected to reach a revenue of US$4.80bn in 2024.
This is expected to show an annual growth rate (CAGR 2024-2029) of 8.75%, resulting in a projected market volume of US$7.30bn by 2029.
In Southeast Asia's Quick Commerce market, the number of users is expected to amount to 63.8m users by 2029.
User penetration, which is the percentage of the population using Quick Commerce market services, will be 6.8% in 2024 and is projected to increase to 8.9% by 2029.
The average revenue per user (ARPU) in the Southeast Asia Quick Commerce market is expected to be US$102.00.
When comparing the Quick Commerce market globally, China is expected to generate the highest revenue, reaching US$80,840.00m in 2024.
Additionally, China has the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
In Indonesia, the quick commerce market is booming with the rise of digital platforms and a growing middle class.

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Analyst Opinion

Quick Commerce, also known as Q-Commerce, is a rapidly growing market in Southeast Asia. This market is characterized by the ability to deliver products to customers within hours of placing an order. The rise of Q-Commerce is driven by several factors, including customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences: In Southeast Asia, customers are increasingly looking for convenience and speed in their shopping experiences. This has led to a rise in demand for Q-Commerce services, as customers can receive their orders quickly and easily. Additionally, customers are becoming more comfortable with online shopping, which has further fueled the growth of Q-Commerce.

Trends in the market: The Q-Commerce market in Southeast Asia is characterized by a number of trends. One trend is the rise of on-demand delivery services, which allow customers to receive their orders within hours of placing them. Another trend is the growth of mobile commerce, which has made it easier for customers to shop online and receive their orders quickly. Finally, there is a trend towards the use of technology and data analytics to optimize the delivery process and improve the customer experience.

Local special circumstances: There are several local special circumstances that are driving the growth of Q-Commerce in Southeast Asia. One is the region's high population density, which makes it easier for delivery companies to reach large numbers of customers quickly. Another is the region's large and growing middle class, which has more disposable income and is increasingly looking for convenience and speed in their shopping experiences. Finally, there is a growing trend towards urbanization in Southeast Asia, which is leading to more people living in cities and needing fast and convenient delivery services.

Underlying macroeconomic factors: There are several underlying macroeconomic factors that are driving the growth of Q-Commerce in Southeast Asia. One is the region's strong economic growth, which is creating more disposable income and driving demand for convenience and speed in shopping experiences. Another is the region's growing e-commerce market, which is providing a platform for Q-Commerce companies to reach customers. Finally, there is a growing trend towards digitalization in Southeast Asia, which is making it easier for Q-Commerce companies to reach customers and optimize their delivery processes.In conclusion, the Q-Commerce market in Southeast Asia is growing rapidly, driven by customer preferences, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is likely that we will see further innovation and growth in this exciting and dynamic sector.

Methodology

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.