Restaurant Delivery - Western Asia

  • Western Asia
  • The Restaurant Delivery market in Western Asia is projected to reach a revenue of US$9.95bn in 2024.
  • This forecast indicates an annual growth rate (CAGR 2024-2029) of 3.40%, resulting in a projected market volume of US$11.76bn by 2029.
  • By 2029, it is expected that the number of users in the Restaurant Delivery market will amount to 29.5m users.
  • The user penetration rate is predicted to be 11.3% in 2024 and is expected to increase to 12.6% by 2029.
  • The average revenue per user (ARPU) is projected to be US$394.40.
  • In the global context, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • Among the countries analyzed, South Korea has the highest projected user penetration rate of 53.1% in the Restaurant Delivery market.
  • The restaurant delivery market in Western Asia is experiencing a surge in demand due to the growing urban population and the convenience of online ordering platforms.
 
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Analyst Opinion

The popularity of Restaurant Delivery services has been on the rise in Western Asia, driven by several factors.

Customer preferences:
Customers in Western Asia are increasingly looking for convenience and speed in their food delivery options. With busy work schedules and long commutes, many consumers are turning to online platforms to order food from their favorite restaurants. Additionally, the COVID-19 pandemic has led to a surge in demand for delivery services, as more people are staying at home and avoiding crowded public spaces.

Trends in the market:
One trend in the Restaurant Delivery market in Western Asia is the emergence of local players, who are competing with global giants like Uber Eats and Deliveroo. These local players are often better able to cater to the specific tastes and preferences of consumers in the region, and are more nimble in adapting to changing market conditions.Another trend is the increasing popularity of healthy food options. Consumers in Western Asia are becoming more health-conscious, and are looking for delivery options that offer fresh, nutritious meals. This has led to the rise of specialized healthy food delivery services, which cater to this growing demand.

Local special circumstances:
One unique aspect of the Restaurant Delivery market in Western Asia is the prevalence of cash-based transactions. While digital payments are becoming more common, many consumers still prefer to pay in cash, which can pose challenges for delivery companies. Additionally, the region's diverse cultural and culinary landscape means that companies must be able to navigate a complex web of local regulations and customs in order to succeed.

Underlying macroeconomic factors:
The Restaurant Delivery market in Western Asia is being driven by a combination of macroeconomic factors, including rising disposable incomes and urbanization. As more people move to cities and earn higher incomes, they are increasingly willing to pay for the convenience and speed of delivery services. Additionally, the region's young and tech-savvy population is driving demand for online platforms and digital services.

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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