Restaurant Delivery - Bahrain

Bahrain

Highlights

The Restaurant Delivery market in Bahrain is projected to reach a revenue of US$72.73m by 2024.
This is expected to result in an annual growth rate (CAGR 2024-2029) of 4.17%, leading to a projected market volume of US$89.23m by 2029.
Furthermore, the number of users in the Restaurant Delivery market in Bahrain is expected to reach 333.7k users by 2029.
The user penetration rate, which currently stands at 18.5% in 2024, is projected to increase to 21.4% by 2029.
The average revenue per user (ARPU) is expected to be US$262.70.
In comparison to other countries, United States is expected to generate the highest revenue in the Restaurant Delivery market, amounting to US$36.95bn by 2024.
On the other hand, South Korea has the highest projected user penetration rate of 44.8%.
Bahrain's restaurant delivery market is witnessing a surge in demand, with a growing preference for local cuisine and an emphasis on contactless delivery options.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Bahrain, an archipelago of 33 islands in the Persian Gulf, is known for its rich culture, history, and cuisine. The Restaurant Delivery market in Bahrain has been developing at a steady pace over the years.

Customer preferences: Bahraini customers have been increasingly opting for home delivery services due to their busy lifestyles and the convenience it offers. The younger generation, in particular, prefers ordering food online, which has led to the rise of food delivery apps. Customers in Bahrain also prefer a wide variety of cuisines, including Middle Eastern, Indian, and Western.

Trends in the market: The Restaurant Delivery market in Bahrain has witnessed significant growth due to the COVID-19 pandemic, as customers prefer to stay at home and order food online. The pandemic has also led to an increase in the number of restaurants offering delivery services. The rise of food delivery apps has made it easier for customers to order food online, and the competition among these apps has led to lower prices and better service.

Local special circumstances: Bahrain has a diverse population, and the country's cuisine reflects this diversity. Bahraini cuisine is a blend of Arabic, Persian, Indian, and East Asian influences. The country is also known for its seafood dishes, which are popular among locals and tourists alike. Bahrain's cuisine is heavily influenced by its history and geography, and this has led to a unique culinary culture.

Underlying macroeconomic factors: Bahrain's economy is heavily dependent on the oil industry, and the country has been diversifying its economy in recent years. The government has been investing in the tourism and hospitality sectors, which has led to an increase in the number of restaurants and hotels in the country. The rise of the Restaurant Delivery market in Bahrain is a reflection of this diversification, as more and more restaurants are offering delivery services to cater to the growing demand. Additionally, Bahrain has a high internet penetration rate, which has made it easier for customers to order food online.

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.