Meal Delivery - Taiwan

  • Taiwan
  • The Meal Delivery market in Taiwan is expected to reach a revenue of US$27.46m in 2024.
  • This projection indicates an annual growth rate (CAGR 2024-2029) of 5.78%, leading to a projected market volume of US$36.37m by 2029.
  • In the same year, the Platform Deliverymarket is estimated to have a market volume of US$16.72m.
  • Among the global market, China is anticipated to generate the highest revenue, amounting to US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$4.07 in 2024.
  • Additionally, the number of users in the Meal Delivery market is expected to reach 8.5m users by 2029.
  • The user penetration rate in the Meal Delivery market is estimated to be 28.2% in 2024.
  • In Taiwan, the meal delivery market is thriving with a wide variety of options catering to the country's diverse culinary preferences.
 
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Analyst Opinion

The Meal Delivery market in Taiwan has been rapidly growing over the past few years, with an increasing number of consumers preferring the convenience of having food delivered to their doorstep.

Customer preferences:
Taiwanese consumers have shown a strong preference for healthy and fresh food, and this trend is reflected in the meal delivery market as well. Many meal delivery services in Taiwan offer a variety of healthy options, such as vegetarian and low-carb meals. Additionally, Taiwanese consumers are highly tech-savvy and prefer to order their meals through mobile apps.

Trends in the market:
One major trend in the meal delivery market in Taiwan is the rise of meal kits. These kits contain pre-portioned ingredients and recipes that customers can use to cook their own meals at home. This trend has been driven by the increasing popularity of home cooking and the desire for healthier options. Another trend is the increasing use of data analytics and AI to personalize meal recommendations for customers based on their preferences and dietary requirements.

Local special circumstances:
Taiwan is known for its vibrant street food culture, and this has had an impact on the meal delivery market as well. Many meal delivery services in Taiwan offer a wide range of street food options, such as baozi, dumplings, and stinky tofu, which are popular among both locals and tourists. Additionally, Taiwan has a large expat community, and meal delivery services often cater to the diverse tastes and dietary requirements of this group.

Underlying macroeconomic factors:
The growth of the meal delivery market in Taiwan can be attributed to several macroeconomic factors. Firstly, Taiwan has a highly urbanized population, with many people living in densely populated cities. This has created a demand for convenient and affordable meal options that can be delivered to their doorstep. Additionally, Taiwan has a high smartphone penetration rate, which has made it easier for consumers to order food online. Finally, the COVID-19 pandemic has accelerated the growth of the meal delivery market in Taiwan, as more people are staying at home and avoiding crowded restaurants.

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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