Meal Delivery - Southeast Asia

  • Southeast Asia
  • In 2024, the revenue in the Meal Delivery market in Southeast Asia is projected to reach US$13.28bn.
  • It is expected to show an annual growth rate of 5.35% from 2024 to 2029, resulting in a projected market volume of US$17.23bn by 2029.
  • The Restaurant Deliverymarket in Southeast Asia is projected to have a market volume of US$8.37bn in 2024.
  • In global comparison, China is expected to generate the most revenue with US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Southeast Asia is projected to be US$94.21 in 2024.
  • By 2029, the number of users in the Meal Delivery market is expected to amount to 164.2m users.
  • The user penetration in the Meal Delivery market in Southeast Asia will be at 20.4% in 2024.
  • In Southeast Asia, the meal delivery market in Thailand is experiencing rapid growth due to the increasing demand for convenient and affordable food options.
 
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Analyst Opinion

Meal delivery services have become increasingly popular across Southeast Asia, providing convenience and accessibility to customers who are looking for quick and easy meal solutions.

Customer preferences:
Customers in Southeast Asia are increasingly looking for convenient and affordable food options due to their busy lifestyles. Meal delivery services offer a solution to this problem, providing customers with a wide range of food choices that can be delivered straight to their doorstep. In addition, customers are also becoming more health-conscious, leading to a rise in demand for healthy meal options that can be customized to their dietary requirements.

Trends in the market:
The meal delivery market in Southeast Asia is highly competitive, with a growing number of players entering the market. One trend that has emerged is the use of technology to improve the customer experience, such as the use of mobile apps for ordering and tracking deliveries. Another trend is the rise of cloud kitchens, which are commercial kitchens that are used exclusively for food delivery services. This allows companies to reduce costs and increase efficiency by eliminating the need for physical storefronts.

Local special circumstances:
Each country in Southeast Asia has its own unique local circumstances that can affect the meal delivery market. For example, in Indonesia, the market is dominated by local players due to the country's strict regulations on foreign investment. In Malaysia, the market is highly competitive, with a large number of players vying for market share. In Singapore, the market is dominated by a few key players, with a focus on high-quality food and efficient delivery.

Underlying macroeconomic factors:
The growth of the meal delivery market in Southeast Asia is driven by several underlying macroeconomic factors. One of these is the region's rapidly growing middle class, which has led to an increase in disposable income and a greater demand for convenience. Another factor is the region's high smartphone penetration rate, which has made it easier for customers to order food online. Finally, the COVID-19 pandemic has also played a role in driving the growth of the market, as more people are staying at home and relying on meal delivery services for their daily meals.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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