Retail Delivery - Thailand

  • Thailand
  • The Reail Delivery market in Thailand is projected to reach a revenue of US$2.01bn in 2024.
  • This market is expected to show a steady annual growth rate (CAGR 2024-2029) of 11.86%, resulting in a projected market volume of US$3.52bn by 2029.
  • Within the Reail Delivery market in Thailand, the number of users is expected to reach 12.2m users by 2029.
  • The user penetration, which currently stands at 12.7% in 2024, is projected to increase to 16.9% by 2029.
  • Furthermore, the average revenue per user (ARPU) is expected to be US$219.80.
  • In terms of global comparison, United States is anticipated to generate the highest revenue in the Reail Delivery market, amounting to US$195,400.00m in 2024.
  • On the other hand, United States is expected to have the highest user penetration rate, with a projected rate of 30.4%.
  • The retail delivery market in Thailand is experiencing a surge in demand for online grocery shopping due to the convenience and safety it offers amidst the ongoing pandemic.
 
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Analyst Opinion

Thailand, known for its street food and vibrant nightlife, has seen a significant rise in its retail delivery market in recent years.

Customer preferences:
Thai consumers have increasingly turned to online shopping, particularly during the COVID-19 pandemic. The convenience of having goods delivered to their doorstep has become a major factor in their purchasing decisions. Additionally, the younger generation in Thailand has grown up with technology and is more comfortable with using e-commerce platforms for their shopping needs.

Trends in the market:
The retail delivery market in Thailand has seen a surge in demand for food delivery services. This trend can be attributed to the rise of food delivery platforms such as GrabFood, Foodpanda, and Line Man. These platforms have made it easier for consumers to order food from their favorite restaurants without leaving their homes. Another trend in the market is the growth of online marketplaces such as Lazada and Shopee, which offer a wide range of products from various sellers.

Local special circumstances:
Thailand has a large population of motorcyclists, which has made it easier for delivery services to operate in the country. Motorcycles are able to navigate through the country's congested streets and deliver goods quickly. Additionally, the Thai government has been supportive of the e-commerce industry, providing incentives for businesses to invest in the sector.

Underlying macroeconomic factors:
Thailand's economy has been growing steadily in recent years, with a focus on developing the country's digital infrastructure. The government has invested in improving internet connectivity and promoting the use of e-commerce platforms. Additionally, the country's middle class has been expanding, providing a larger consumer base for retail delivery services.In conclusion, the retail delivery market in Thailand has seen significant growth due to changing consumer preferences, the rise of food delivery and online marketplaces, local special circumstances such as the prevalence of motorcyclists, and underlying macroeconomic factors such as government support and a growing middle class.

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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