Market Insights Digital Online Food Delivery

Meal Delivery - Southeast Asia

Southeast Asia

In 2024, the revenue in the Meal Delivery market in Southeast Asia is projected to reach US$13.29bn.
It is expected to show an annual growth rate of 7.21% from 2024 to 2028, resulting in a projected market volume of US$17.56bn by 2028.
The Platform Deliverymarket in Southeast Asia is projected to have a market volume of US$8.37bn in 2024.
In global comparison, in China is expected to generate the most revenue with US$182,900.00m in 2024.
The average revenue per user (ARPU) in the Meal Delivery market in Southeast Asia is projected to be US$93.92 in 2024.
By 2028, the number of users in the Meal Delivery market is expected to amount to 167.0m 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.

Market

Region

Region comparison

Currency

Analyst Opinion

Since Pizza Hut launched the first-ever pizza online order back in 1994, online food delivery has become a billion-dollar business. Aggregator platforms like Takeaway.com or Delivery Hero have expanded all over the world through the sale of reliable infrastructure solutions and attractive commission rates for restaurants. Platform-to-Consumer Delivery companies like Deliveroo or Uber Eats operate a more cost intensive business model, but are taking care of the whole delivery logistics. Those companies have also gained track over the last years, especially in densely populated regions. Both models will likely converge with stronger competition between in-house and third-party solutions.

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.