Online Food Delivery - ASEAN

  • ASEAN
  • The Online Food Delivery market in ASEAN is projected to reach a revenue of US$36.96bn in 2024.
  • It is expected to show a compound annual growth rate (CAGR 2024-2029) of 12.61%, resulting in a projected market volume of US$66.93bn by 2029.
  • In the Grocery Delivery market, a revenue growth of 23.6% is anticipated in 2025.
  • The projected market volume for this market is US$23.68bn in 2024.
  • When comparing globally, China is expected to generate the highest revenue, amounting to US$450.50bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$189.90 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 175.8m users by 2029.
  • User penetration in the Grocery Delivery market will be at 20.4% in 2024.
  • In Singapore, the online food delivery market is dominated by platforms like GrabFood and Foodpanda, offering a wide range of cuisines to cater to the diverse tastes of its multicultural population.
 
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Analyst Opinion

The Online Food Delivery market in ASEAN has been rapidly growing in recent years, as consumers increasingly turn to the convenience of ordering meals online.

Customer preferences:
One of the main drivers of the Online Food Delivery market in ASEAN is the growing preference for convenience and time-saving solutions. As urbanization continues to increase in the region, consumers are looking for faster and more efficient ways to access food. Additionally, the rise of digital technology has made it easier for consumers to order food online, with many platforms offering user-friendly interfaces and mobile apps.

Trends in the market:
The Online Food Delivery market in ASEAN is characterized by a number of trends that are specific to each country in the region. For example, in Indonesia, the market is dominated by local players such as Gojek and Grab, which offer a range of services beyond food delivery, including ride-hailing and e-commerce. In Thailand, on the other hand, the market is more fragmented, with a large number of small players competing for market share.

Local special circumstances:
One of the key factors driving the Online Food Delivery market in ASEAN is the region's diverse culinary landscape. With a wide range of cuisines and food cultures, there is a high demand for delivery services that can provide access to a variety of different dishes. Additionally, in many countries in the region, street food is an important part of the local food culture, and online delivery platforms are increasingly partnering with street vendors to offer their products to a wider audience.

Underlying macroeconomic factors:
The growth of the Online Food Delivery market in ASEAN is also linked to broader macroeconomic factors, such as rising disposable incomes and a growing middle class. As consumers become more affluent, they are more likely to spend money on convenience services such as food delivery. Additionally, the region's large and growing population, combined with high levels of urbanization, creates a significant market opportunity for online food delivery platforms.

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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