Meal Delivery - Bangladesh | Statista Market Forecast

The Meal Delivery market in Bangladesh is expected to experience significant growth in the coming years.
According to projections, the market's revenue is estimated to reach US$133.70m in 2024.
Furthermore, a steady annual growth rate (CAGR 2024-2029) of 8.63% is anticipated, resulting in a projected market volume of US$202.20m by 2029.
In the Platform Deliverysegment, in Bangladesh is projected to have a market volume of US$94.03m in 2024.
However, when compared globally, China is expected to generate the highest revenue, reaching US$184.50bn in the same year.
The average revenue per user (ARPU) in the Meal Delivery market in Bangladesh is projected to be US$19.91 in 2024.
This indicates the average amount of revenue generated per user.
Additionally, the number of users in the Meal Delivery market is expected to reach 9.6m users by 2029.
Regarding user penetration, which measures the percentage of the population using Meal Delivery market services, it is estimated to be at 3.8% in Bangladesh in 2024.
This indicates the level of market saturation and the potential for further growth in the industry.
"Bangladesh's meal delivery market is thriving, with a growing number of tech-savvy consumers opting for convenient and affordable food delivery services."

Definition:

Meal Delivery is the online ordering and delivery of prepared meals by a restaurant or a platform for direct consumption. Orders are typically placed in an app or on a website. The delivery is handled by the platform enterprise (e.g. Deliveroo) or directly by the restaurant (e.g. Domino’s).

Structure:

Meal Delivery contains the user and revenue development of two different delivery service solutions for prepared meals: (1) Restaurant Delivery and (2) Platform Delivery. The Restaurant Delivery market includes the delivery of meals carried out directly by the restaurants. The order may be made via platforms (e.g. Delivery Hero, Just Eat) or directly through a restaurant website (e.g. Domino's). The Platform Delivery market focuses on online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves. In this case, the platform (e.g. Deliveroo) handles the delivery process.).

Additional Information:

Revenue includes the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals ordered online which are directly delivered by the restaurant, no matter if ordered via a platform (e.g. Delivery Hero) or a restaurant website (e.g. Domino's)
Online meal order and delivery both carried out by a platform (e.g. Deliveroo)
Online orders that are picked up in the restaurant

Phone orders
Deliveries of non-processed or non-prepared food (e.g. HelloFresh)

Bangladesh is a country with a rich culinary culture, where food is an integral part of people's lives. The Meal Delivery market in Bangladesh has been developing rapidly in recent years, with an increasing number of people opting for the convenience of having their meals delivered to their doorstep.

Customer preferences: The Meal Delivery market in Bangladesh is primarily driven by the increasing demand for convenience and time-saving options. With the rise of the middle class and the increasing number of working professionals, people are looking for ways to save time and effort in their daily lives. This has led to a growing preference for meal delivery services, which offer a wide range of options and the convenience of having meals delivered directly to their homes or offices.

Trends in the market: The Meal Delivery market in Bangladesh is witnessing a number of trends, including the rise of online ordering platforms and the increasing popularity of healthy meal options. Online ordering platforms have become a key driver of growth in the market, with more and more people using their smartphones and computers to order meals online. In addition, there is a growing demand for healthy meal options, as people become more health-conscious and aware of the benefits of eating a balanced diet.

Local special circumstances: Bangladesh is a country with a rich culinary heritage, and this is reflected in the Meal Delivery market. There is a wide range of local and regional cuisines available, including Bengali, Mughlai, and Chinese, among others. This diversity of options has contributed to the growth of the market, as people are able to choose from a wide range of cuisines and dishes.

Underlying macroeconomic factors: The Meal Delivery market in Bangladesh is also influenced by a number of underlying macroeconomic factors, including the growth of the middle class, the increasing number of working professionals, and the rise of e-commerce. As more and more people enter the middle class and join the workforce, there is a growing demand for convenience and time-saving options, such as meal delivery services. In addition, the rise of e-commerce has made it easier for people to order meals online, further driving the growth of the market.

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.

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