Meal Delivery - Thailand

  • Thailand
  • Revenue in the Meal Delivery market in Thailand is projected to reach US$2.07bn in 2024.
  • The market is expected to show an annual growth rate (CAGR 2024-2029) of 5.14%, resulting in a projected market volume of US$2.66bn by 2029.
  • In Thailand, the Restaurant Deliverymarket has a projected market volume of US$1.16bn in 2024.
  • In global comparison, the majority of revenue will be generated China, amounting to US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Thailand is projected to amount to US$99.99 in 2024.
  • The number of users in the Meal Delivery market in Thailand is expected to reach 23.7m users by 2029.
  • The user penetration in the Meal Delivery market in Thailand will be at 28.7% in 2024.
  • Thailand's meal delivery market is experiencing rapid growth due to the rising demand for convenient and affordable food options.
 
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Analyst Opinion

Thailand is a country known for its rich culinary culture, with a variety of dishes that are unique to the region. In recent years, the meal delivery market in Thailand has been growing steadily.

Customer preferences:
Thai consumers are increasingly turning to meal delivery services due to the convenience they offer. With busy work schedules and long commutes, many people find it difficult to prepare meals at home. Additionally, the younger generation in Thailand is more tech-savvy and prefers to use apps to order food online.

Trends in the market:
One of the key trends in the meal delivery market in Thailand is the rise of healthy food options. Consumers are becoming more health-conscious and are looking for meals that are not only convenient but also nutritious. This has led to the emergence of meal delivery services that offer healthy and organic meals. Another trend is the increasing popularity of international cuisine, with consumers looking to try new and exotic dishes from around the world.

Local special circumstances:
Thailand has a large tourism industry, with millions of visitors coming to the country each year. This has led to an increase in demand for meal delivery services that cater to tourists, with many services offering menus in multiple languages. Additionally, the Thai government has been promoting the use of cashless payments, which has led to an increase in the number of meal delivery services that accept digital payments.

Underlying macroeconomic factors:
Thailand has a growing middle class, with an increasing number of people moving into urban areas. This has led to a rise in disposable income and a greater demand for convenience. Additionally, the country has a high smartphone penetration rate, with many consumers using mobile apps to order food online. The COVID-19 pandemic has also played a role in the growth of the meal delivery market in Thailand, with many consumers preferring to order food online rather than dining in at restaurants. Overall, the meal delivery market in Thailand is expected to continue to grow in the coming years. As consumers become more health-conscious and demand for convenience increases, meal delivery services that cater to these needs are likely to see the most success. Additionally, the rise of international cuisine and the increasing popularity of cashless payments are trends that are likely to continue in the market.

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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