Restaurant Delivery - Taiwan

Taiwan

Highlights

The Restaurant Delivery market in Taiwan is projected to reach a revenue of US$632.60m in 2024.
This market is expected to show an annual growth rate (CAGR 2024-2029) of 4.93%, resulting in a projected market volume of US$804.80m by 2029.
By 2029, the number of users in the Restaurant Delivery market in Taiwan is expected to amount to 6.3m users.
The user penetration in this market is projected to be 21.2% in 2024 and is expected to reach 26.1% by 2029.
The average revenue per user (ARPU) is expected to be US$124.60.
In a global comparison, United States is projected to generate the highest revenue in the Restaurant Delivery market, with US$36.95bn in 2024.
On the other hand, South Korea is expected to have the highest user penetration rate in the Restaurant Delivery market, with a projected rate of 44.8%.
Taiwan's restaurant delivery market has experienced a surge in demand due to the convenience-seeking nature of its tech-savvy population.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Taiwan is a country that is known for its bustling food scene. From street food to high-end restaurants, Taiwanese cuisine is enjoyed by locals and tourists alike. In recent years, the rise of restaurant delivery services has changed the way people enjoy their meals.

Customer preferences: Taiwanese consumers have been quick to adopt restaurant delivery services. This is due in part to the convenience that these services offer. With busy work schedules and long commutes, many people do not have the time to cook or dine out. Restaurant delivery services allow them to enjoy their favorite meals from the comfort of their own homes. Additionally, the COVID-19 pandemic has accelerated the adoption of these services as people have been encouraged to stay home.

Trends in the market: The restaurant delivery market in Taiwan has seen significant growth in recent years. This is due in part to the rise of food delivery apps such as Uber Eats and Foodpanda. These apps have made it easier for consumers to order food from their favorite restaurants. Additionally, many restaurants have started to offer their own delivery services in order to compete with these apps. This has led to increased competition in the market.

Local special circumstances: One unique aspect of the restaurant delivery market in Taiwan is the prevalence of night markets. These markets offer a wide variety of street food and local cuisine. While many of these vendors do not offer delivery services, some have started to partner with food delivery apps in order to reach a wider audience. This has led to increased competition in the market and has made it easier for consumers to enjoy their favorite night market foods from home.

Underlying macroeconomic factors: Taiwan has a strong economy and a high standard of living. This has led to a growing middle class that has more disposable income to spend on dining out and food delivery services. Additionally, the country has a high population density, which makes it easier for food delivery services to operate efficiently. Finally, the government has been supportive of the restaurant industry and has implemented policies to encourage its growth. All of these factors have contributed to the growth of the restaurant delivery market in Taiwan.

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.