The popularity of food delivery services has been on the rise in Southeast Asia, with more and more consumers opting for the convenience of having their meals delivered to their doorstep.
Customer preferences: One of the main reasons for the growth of the restaurant delivery market in Southeast Asia is the changing consumer preferences. Busy lifestyles and increasing urbanization have led to a higher demand for food delivery services. Customers are looking for quick and easy ways to get their meals without having to leave their homes or offices.
Trends in the market: The restaurant delivery market in Southeast Asia is a highly competitive one, with both local and international players vying for market share. One of the trends in the market is the emergence of super apps that offer a range of services, including food delivery, to consumers. These apps are becoming increasingly popular as they offer convenience and a one-stop-shop for customers.Another trend in the market is the rise of cloud kitchens. These are delivery-only restaurants that operate out of a central kitchen and have no physical storefront. Cloud kitchens are becoming popular in Southeast Asia as they offer a low-cost way for restaurants to expand their delivery services without having to invest in a physical location.
Local special circumstances: Each country in Southeast Asia has its own unique set of circumstances that affect the restaurant delivery market. In Singapore, for example, the government has been promoting the use of food delivery services as part of its efforts to reduce traffic congestion. In Indonesia, the market is dominated by local players such as Gojek and Grab, which offer a range of services including food delivery.
Underlying macroeconomic factors: The growth of the restaurant delivery market in Southeast Asia is also being driven by underlying macroeconomic factors such as rising disposable incomes and increasing smartphone penetration. As more people in the region have access to smartphones and the internet, the demand for food delivery services is likely to continue to grow. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services as more people are staying at home and avoiding crowded places. In conclusion, the restaurant delivery market in Southeast Asia is growing rapidly due to changing customer preferences, the emergence of new trends such as super apps and cloud kitchens, local special circumstances, and underlying macroeconomic factors such as rising disposable incomes and increasing smartphone penetration. As the market continues to evolve, it will be interesting to see how these factors continue to shape the industry.
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.
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