Meal Delivery - Eastern Asia

  • Eastern Asia
  • The Meal Delivery market in Eastern Asia is expected to experience significant growth in the coming years.
  • According to projections, the revenue in this market is estimated to reach a staggering US$219.10bn by 2024.
  • This growth is anticipated to continue with an annual growth rate of 3.91% from 2024 to 2028, resulting in a projected market volume of US$255.40bn by 2028.
  • Among the various segments within the Meal Delivery market, the Platform Deliverymarket is expected to have a substantial market volume of US$181.60bn by 2024.
  • In terms of revenue generation, in China is projected to be the leading country, with an estimated revenue of US$182,900.00m in 2024.
  • When considering the average revenue per user (ARPU) in the Meal Delivery market, it is projected to amount to US$251.00 in 2024.
  • This figure provides insight into the average amount of revenue generated per user in this market.
  • Furthermore, the number of users in the Meal Delivery market is expected to reach 1.0bn users by 2028, indicating a significant increase in user adoption.
  • In terms of user penetration, which refers to the percentage of the population using Meal Delivery market services, it is estimated to be 52.4% in 2024.
  • This suggests that approximately 52.4% of the population in Eastern Asia will be utilizing Meal Delivery market services by that time.
  • In South Korea, the meal delivery market is thriving thanks to the country's fast-paced lifestyle and preference for convenience.
 
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Analyst Opinion

Since Pizza Hut launched the first-ever pizza online order back in 1994, online food delivery has become a billion-dollar business. Aggregator platforms like Takeaway.com or Delivery Hero have expanded all over the world through the sale of reliable infrastructure solutions and attractive commission rates for restaurants. Platform-to-Consumer Delivery companies like Deliveroo or Uber Eats operate a more cost intensive business model, but are taking care of the whole delivery logistics. Those companies have also gained track over the last years, especially in densely populated regions. Both models will likely converge with stronger competition between in-house and third-party solutions.

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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