Online Food Delivery - Taiwan

  • Taiwan
  • The Online Food Delivery market in Taiwan is projected to reach a revenue of US$51.29m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 5.94%, resulting in a projected market volume of US$68.45m by 2029.
  • In the Grocery Delivery market, a revenue growth of 9.8% is expected in 2025.
  • The Grocery Delivery market is projected to have a market volume of US$27.46m in 2024.
  • In comparison to other countries, China is expected to generate the highest revenue in the Online Food Delivery market, with US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$4.07 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 8.8m users by 2029.
  • The user penetration in the Grocery Delivery market in Taiwan will be at 29.1% in 2024.
  • Taiwan's online food delivery market is experiencing significant growth due to the country's high smartphone penetration and busy urban lifestyles.
 
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Analyst Opinion

The Online Food Delivery market in Taiwan has been growing at a rapid pace over the past few years, driven by changing consumer preferences and local special circumstances.

Customer preferences:
Taiwanese consumers have become increasingly reliant on the convenience of online food delivery services, especially in urban areas where busy lifestyles and long working hours make it difficult to prepare meals at home. In addition, the popularity of social media and the rise of food influencers have contributed to the growth of the market, as consumers are exposed to a wider variety of food options and are more likely to order food for delivery.

Trends in the market:
One major trend in the Online Food Delivery market in Taiwan is the increasing popularity of healthy and sustainable food options. As consumers become more health-conscious and environmentally aware, they are seeking out food delivery services that offer organic, vegetarian, and vegan options. Another trend is the emergence of new delivery models, such as cloud kitchens and dark kitchens, which allow restaurants to operate exclusively for delivery without the overhead costs of a physical storefront.

Local special circumstances:
Taiwan's unique food culture has also contributed to the growth of the Online Food Delivery market. Taiwanese cuisine is diverse and includes a wide range of dishes from traditional street food to high-end restaurants. Online food delivery services have made it easier for consumers to access this variety of food options from the comfort of their own homes. In addition, Taiwan's high population density and efficient transportation infrastructure make it an ideal market for online food delivery services.

Underlying macroeconomic factors:
The growth of the Online Food Delivery market in Taiwan is also driven by broader macroeconomic factors, such as the rise of e-commerce and the increasing use of mobile devices for online transactions. In addition, Taiwan's strong economy and high levels of internet penetration have created a favorable environment for the growth of the market. However, the market is also facing challenges such as intense competition and regulatory issues related to food safety and labor practices.

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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