Meal Delivery - Iran

  • Iran
  • Iran's Meal Delivery market is projected to reach a revenue of US$246.60m by 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 6.60%, resulting in a projected market volume of US$339.40m by 2029.
  • The Platform Deliverymarket in Iran has a projected market volume of US$161.00m in 2024.
  • In global comparison, China is expected to generate the highest revenue in the Meal Delivery market, reaching US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in Iran's Meal Delivery market is projected to be US$39.23 in 2024.
  • The number of users in the Meal Delivery market is expected to reach 8.5m users by 2029.
  • User penetration in the Meal Delivery market in Iran will be at 7.0% in 2024.
  • Iran's meal delivery market is experiencing a surge in demand as busy urban dwellers seek convenient and time-saving options for their daily meals.
 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

Meal delivery services have been on the rise globally, and Iran is no exception. With the busy lives of people in Iran, meal delivery services have become a popular option for those who want to save time and effort.

Customer preferences:
Iranians are known for their love of food, and this has led to a high demand for meal delivery services in the country. Customers prefer to have access to a variety of cuisines, including traditional Iranian dishes, as well as international options. Convenience is also a key factor, with customers preferring to have their meals delivered to their doorsteps.

Trends in the market:
The meal delivery market in Iran has seen significant growth in recent years, with many new players entering the market. This has led to increased competition, which in turn has led to more options for customers. As a result, meal delivery services in Iran have become more affordable, making them accessible to a wider range of customers. Another trend in the market is the use of technology to improve the delivery experience. Many companies now offer mobile apps that allow customers to order food, track their delivery, and pay for their meals all in one place.

Local special circumstances:
Iran is a country with a rich culinary tradition, and this has played a significant role in the growth of the meal delivery market. Iranians are known for their love of food, and this has led to a high demand for meal delivery services. In addition, the country has a large young population, many of whom are tech-savvy and prefer to use mobile apps to order food.

Underlying macroeconomic factors:
The Iranian economy has faced many challenges in recent years, including high inflation and sanctions. These challenges have led to a rise in the cost of living, making it harder for people to afford eating out. As a result, meal delivery services have become a more attractive option for many Iranians. In addition, the COVID-19 pandemic has led to an increase in demand for meal delivery services, as people have been forced to stay at home. This has further accelerated the growth of the meal delivery market in Iran.

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
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)