Online Food Delivery - Western Asia

  • Western Asia
  • The Online Food Delivery market in Western Asia is predicted to achieve a revenue of US$23.59bn by 2024.
  • This sector is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 10.45%, leading to a projected market volume of US$38.77bn by 2029.
  • In 2025, the Grocery Delivery market is expected to experience a revenue growth of 24.0%.
  • The projected market volume for this market in Western Asia is estimated to be US$13.41bn by 2024.
  • When compared globally, China is expected to generate the highest revenue in the Online Food Delivery market, reaching US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$409.40 in 2024.
  • As for the Grocery Delivery market, the number of users is anticipated to reach 46.2m users by 2029.
  • The user penetration in this market is forecasted to be 15.4% in 2024.
  • The online food delivery market in Western Asia is booming, with a strong emphasis on traditional Middle Eastern cuisine.
 
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Analyst Opinion

Online food delivery services have been gaining popularity in Western Asia in recent years. As the region becomes more urbanized and tech-savvy, consumers are increasingly turning to online platforms to order food.

Customer preferences:
Customers in Western Asia value convenience and speed when it comes to food delivery. They expect their food to be delivered quickly and efficiently, with minimal hassle. Additionally, many consumers in the region are health-conscious and prefer to order food that is fresh and nutritious.

Trends in the market:
One of the key trends in the online food delivery market in Western Asia is the rise of local, homegrown platforms. These platforms offer a more personalized and localized experience than global giants like Uber Eats and Deliveroo. Additionally, they often partner with smaller, independent restaurants that may not be available on larger platforms.Another trend in the market is the increasing popularity of cloud kitchens. These are commercial kitchens that are designed specifically for food delivery, with no dine-in option available. Cloud kitchens allow restaurants to focus solely on delivery, without the added costs and complexities of running a physical restaurant.

Local special circumstances:
One factor that is unique to the online food delivery market in Western Asia is the prevalence of cash-on-delivery payments. Many consumers in the region do not have access to credit cards or prefer not to use them online. As a result, many online food delivery platforms offer cash-on-delivery as a payment option.

Underlying macroeconomic factors:
The rapid urbanization and growing middle class in Western Asia are key drivers of the online food delivery market. As more people move to cities and work long hours, they have less time to cook and are more likely to order food online. Additionally, the region's young population is more tech-savvy and comfortable with using online platforms for everyday tasks.In conclusion, the online food delivery market in Western Asia is growing rapidly, driven by customer preferences for convenience and speed, the rise of local platforms, the popularity of cloud kitchens, and unique local payment options. These trends are fueled by underlying macroeconomic factors such as urbanization, a growing middle class, and a tech-savvy young population.

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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