Restaurant Delivery - Kuwait

Kuwait

Highlights

The Restaurant Delivery market in Kuwait is projected to reach a revenue of US$418.40m KWD in 2024.
This is expected to show an annual growth rate of 3.29% (CAGR 2024-2029), resulting in a projected market volume of US$491.80m KWD by 2029.
In Kuwait's Restaurant Delivery market, the number of users is expected to amount to 1.0m users by 2029.
The user penetration is projected to be 21.8% in 2024 and is expected to increase to 22.8% by 2029.
The average revenue per user (ARPU) is expected to amount to US$441.00 KWD.
In global comparison, United States is expected to generate the highest revenue in the Restaurant Delivery market, reaching US$36.95bn in 2024.
With a projected rate of 44.8%, South Korea has the highest user penetration in the Restaurant Delivery market.
Kuwait's restaurant delivery market has experienced a surge in demand due to the country's growing urban population and busy lifestyles.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The demand for restaurant delivery services in Kuwait has been on the rise in recent years.

Customer preferences: Kuwaitis are known for their love of food, and the convenience of having restaurant meals delivered to their doorstep has become increasingly popular. The younger generation, in particular, is driving the growth of the delivery market as they seek more convenience and flexibility in their dining options. Additionally, the COVID-19 pandemic has accelerated the adoption of food delivery services as more people choose to stay at home and avoid crowded places.

Trends in the market: One of the main trends in the Kuwaiti restaurant delivery market is the increasing competition among delivery platforms. International players like Deliveroo and Talabat have entered the market, competing with local players like Carriage and HungerStation. This has led to a wider variety of restaurants and cuisines being available for delivery, giving customers more options to choose from. Another trend is the rise of cloud kitchens, which are delivery-only restaurants that operate out of a shared kitchen space. These kitchens allow restaurants to expand their delivery reach without the high costs of opening a physical restaurant.

Local special circumstances: Kuwait is a small country with a high population density, making traffic congestion a major issue. This has led to a preference for food delivery services, as it saves customers time and hassle. Additionally, Kuwait has a large expat population, which has contributed to the diversity of cuisines available for delivery. The country also has a high disposable income, which means that customers are willing to pay a premium for convenience and quality.

Underlying macroeconomic factors: Kuwait has a strong economy with a high GDP per capita, which has contributed to the growth of the restaurant delivery market. The country has a well-established infrastructure and a high level of technology adoption, which has made it easier for delivery platforms to operate. Additionally, the government has been supportive of the digital economy, providing incentives for startups and entrepreneurs. However, the country's dependence on oil exports makes it vulnerable to fluctuations in global oil prices, which could impact consumer spending on food delivery services.

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.