Meal Delivery - Laos

  • Laos
  • Laos is projected to see a revenue of US$3.00m in the Meal Delivery market by 2024.
  • The market is expected to experience an annual growth rate of 7.76%, resulting in a projected market volume of US$4.36m by 2029.
  • In 2024, the Platform Deliverymarket is expected to reach a market volume of US$1.97m.
  • When compared globally, China is projected to generate the highest revenue of US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$18.02 by 2024.
  • By 2029, the number of users in the Meal Delivery market is expected to reach 226.6k users.
  • The user penetration in the Meal Delivery market is estimated to be at 2.1% in 2024.
  • Laos has seen a surge in demand for meal delivery services due to the growing urban population and increasing interest in convenient and time-saving dining options.
 
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Analyst Opinion

The Meal Delivery market in Laos has been growing steadily in recent years, driven by changing consumer preferences and increasing availability of technology.

Customer preferences:
Laos has a young and rapidly growing population, with a large proportion of the population being tech-savvy millennials. These consumers are increasingly turning to online platforms to order food, as they seek convenience and speed in their daily lives. Additionally, the rise of urbanization has led to a busy lifestyle for many consumers, which has resulted in a growing demand for food delivery services.

Trends in the market:
One of the key trends in the Meal Delivery market in Laos is the increasing popularity of mobile applications. Many food delivery providers have launched mobile apps that allow consumers to order food easily and quickly from their smartphones. These apps also offer features such as real-time tracking of orders and the ability to rate delivery drivers, which has helped to improve the overall customer experience.Another trend in the market is the growing number of food delivery providers. As the market has grown, several new players have entered the market, offering consumers more choice and variety. This has also led to increased competition, with providers offering promotions and discounts to attract customers.

Local special circumstances:
Laos is a landlocked country in Southeast Asia, with a unique cuisine that is heavily influenced by its neighboring countries. The local cuisine is known for its bold flavors and use of fresh ingredients, which has made it popular among tourists and locals alike. This has also led to the emergence of several local food delivery providers that specialize in traditional Laotian cuisine.

Underlying macroeconomic factors:
Laos is one of the fastest-growing economies in Southeast Asia, with a rapidly expanding middle class. This has led to increased consumer spending and a growing demand for convenience and luxury goods, including food delivery services. Additionally, the government has been investing heavily in infrastructure development, which has helped to improve logistics and transportation, making it easier for food delivery providers to operate.

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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