Online Food Delivery - Oman

  • Oman
  • In 2024, the projected revenue for the Online Food Delivery market in Oman is estimated to reach US$360.00m.
  • The market is expected to exhibit a compound annual growth rate (CAGR) of 10.96% from 2024 to 2029, resulting in a projected market volume of US$605.40m by 2029.
  • For the Grocery Delivery market, a revenue growth of 19.8% is anticipated in 2025.
  • In 2024, the projected market volume for Grocery Delivery in Oman is US$235.50m.
  • In comparison to other countries, China is expected to generate the highest revenue in the Online Food Delivery market, with US$450.50bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market is projected to be US$270.90 in 2024.
  • In the Grocery Delivery market, the number of users is estimated to reach 1.1m users by 2029.
  • The user penetration rate in the Grocery Delivery market is projected to be 18.4% in 2024.
  • Oman's online food delivery market is witnessing a surge in demand due to the growing preference for convenience and contactless transactions.
 
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Analyst Opinion

The food delivery market in Oman is experiencing a steady growth in recent years due to the changing lifestyle of the population. With the increasing number of working professionals and the rise in disposable income, more people are opting for the convenience of ordering food online.

Customer preferences:
Customers in Oman prefer online food delivery services that offer a variety of cuisines, quick delivery times, and easy payment options. They also value the quality of food and the reliability of the delivery service. With the COVID-19 pandemic, customers are also looking for contactless delivery options and safety measures taken by the delivery companies.

Trends in the market:
One of the recent trends in the online food delivery market in Oman is the emergence of cloud kitchens. These are delivery-only restaurants that operate from a single location and cater to multiple brands. This model allows for cost savings and increased efficiency in operations. Another trend is the integration of technology such as AI and machine learning to improve the customer experience and increase operational efficiency.

Local special circumstances:
Oman has a diverse population with a mix of locals and expatriates from different countries. This has led to a demand for a variety of cuisines and food options. Additionally, the country has a strong food culture and a tradition of hospitality, which has led to a growing demand for food delivery services.

Underlying macroeconomic factors:
The Omani economy is largely dependent on the oil and gas industry, which has been facing challenges in recent years. However, the government has been taking steps to diversify the economy and promote entrepreneurship. This has led to an increase in small and medium-sized businesses, including food delivery services. Additionally, the government has been investing in infrastructure and technology, which has helped to improve the logistics and delivery capabilities of food delivery companies.

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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