Meal Delivery - Pakistan

  • Pakistan
  • The Meal Delivery market in Pakistan is expected to generate a revenue of US$1,745.00m in 2024.
  • It is projected to experience an annual growth rate of 10.46% (CAGR 2024-2029), resulting in a market volume of US$2,869.00m by 2029.
  • In the Platform Deliverymarket, in Pakistan is expected to reach a market volume of US$1,529.00m in 2024.
  • When compared globally, China is projected to generate the highest revenue in the Meal Delivery market, amounting to US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Pakistan is estimated to be US$29.61 in 2024.
  • By 2029, the number of users in Pakistan's Meal Delivery market is expected to reach 93.7m users.
  • The user penetration rate in the Meal Delivery market is projected to be 24.0% in 2024.
  • The demand for meal delivery services in Pakistan has surged due to the convenience and time-saving benefits they offer to busy urban dwellers.
 
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Analyst Opinion

Meal delivery services have become increasingly popular in Pakistan in recent years, with a growing number of consumers opting for the convenience of having their meals delivered to their doorstep.

Customer preferences:
As in many other countries, the rise of meal delivery services in Pakistan can be attributed to the changing lifestyles and preferences of consumers. With more people leading busy lives and having less time to cook, meal delivery services offer a convenient and time-saving solution. In addition, the COVID-19 pandemic has further accelerated the demand for meal delivery services as more people are staying at home and avoiding crowded places like restaurants.

Trends in the market:
One of the key trends in the meal delivery market in Pakistan is the increasing popularity of healthy and organic food options. As more consumers become health-conscious and seek out healthier food choices, meal delivery services are responding by offering a wider range of healthy and organic meal options. Another trend in the market is the growing competition among meal delivery services, with new players entering the market and existing players expanding their offerings to stay competitive.

Local special circumstances:
One of the unique factors in the Pakistani market is the strong preference for home-cooked meals. Many consumers still prefer to cook their meals at home and may be hesitant to order food from outside. However, as more consumers become comfortable with the idea of ordering food online and trust the quality of the meals delivered, this preference may change.

Underlying macroeconomic factors:
The growing middle class in Pakistan is another factor driving the growth of the meal delivery market. As more people become financially stable, they are willing to spend more on convenience and quality food options. In addition, the increasing penetration of smartphones and internet connectivity is making it easier for consumers to access meal delivery services and place orders online. However, challenges such as infrastructure limitations and logistical issues may hinder the growth of the market in certain areas.

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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