Meal Delivery - GCC | Statista Market Forecast

The Meal Delivery market in GCC is expected to reach a revenue of US$12.37bn by 2024.
It is projected to grow at an annual rate of 3.42% (CAGR 2024-2029), resulting in a market volume of US$14.63bn by 2029.
In the GCC region, the Platform Deliverymarket is estimated to have a market volume of US$10.11bn in 2024.
When compared to other countries globally, China is expected to generate the highest revenue in the Meal Delivery market, reaching US$184.50bn in 2024.
The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$554.00 in 2024.
By 2029, the number of users in the Meal Delivery market is expected to reach 26.3m users.
The user penetration rate in the Meal Delivery market is projected to be 37.0% in 2024.
The meal delivery market in the GCC is experiencing rapid growth due to the increasing demand for convenient and healthy food options among busy professionals in the region.

Definition:

Meal Delivery is the online ordering and delivery of prepared meals by a restaurant or a platform for direct consumption. Orders are typically placed in an app or on a website. The delivery is handled by the platform enterprise (e.g. Deliveroo) or directly by the restaurant (e.g. Domino’s).

Structure:

Meal Delivery contains the user and revenue development of two different delivery service solutions for prepared meals: (1) Restaurant Delivery and (2) Platform Delivery. The Restaurant Delivery market includes the delivery of meals carried out directly by the restaurants. The order may be made via platforms (e.g. Delivery Hero, Just Eat) or directly through a restaurant website (e.g. Domino's). The Platform Delivery market focuses on online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves. In this case, the platform (e.g. Deliveroo) handles the delivery process.).

Additional Information:

Revenue includes the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals ordered online which are directly delivered by the restaurant, no matter if ordered via a platform (e.g. Delivery Hero) or a restaurant website (e.g. Domino's)
Online meal order and delivery both carried out by a platform (e.g. Deliveroo)
Online orders that are picked up in the restaurant

Phone orders
Deliveries of non-processed or non-prepared food (e.g. HelloFresh)

The Meal Delivery market in GCC has been rapidly growing in recent years, with many factors contributing to its development.

Customer preferences: Customers in the GCC region have been increasingly turning to meal delivery services due to the convenience and time-saving benefits they offer. With busy work schedules and a fast-paced lifestyle, many people in the region are looking for ways to simplify their daily routines. Meal delivery services provide a solution by offering a variety of healthy and delicious meal options that can be delivered directly to their doorstep.

Trends in the market: One trend that has been observed in the GCC meal delivery market is the increasing popularity of healthy meal options. With a growing awareness of the importance of healthy eating, many customers are looking for meal delivery services that offer nutritious and balanced meals. Another trend is the rise of technology-enabled meal delivery services, with many companies using mobile apps and online platforms to make ordering and delivery more efficient.

Local special circumstances: The GCC region has a unique set of circumstances that have contributed to the growth of the meal delivery market. One of these is the large expatriate population in many GCC countries, who may not have access to traditional home-cooked meals or may be looking for more convenient meal options. Additionally, the hot climate in the region can make it difficult for people to go out and buy food, making meal delivery services a more attractive option.

Underlying macroeconomic factors: The GCC region has a strong and growing economy, which has contributed to the development of the meal delivery market. With a high level of disposable income, many customers are willing to pay for the convenience and quality of meal delivery services. Additionally, the region has a young and tech-savvy population, which has helped to drive the adoption of technology-enabled meal delivery services. Finally, the COVID-19 pandemic has further accelerated the growth of the meal delivery market, as more customers are looking for safe and convenient ways to order food.

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.

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