Online Food Delivery

In 2024, the projected revenue in the Online Food Delivery market in Bangladesh is estimated to reach US$577.40m.
The market is expected to show a compound annual growth rate (CAGR 2024-2029) of 9.80%, resulting in a projected market volume of US$921.60m by 2029.
Furthermore, the Grocery Delivery market in Bangladesh is expected to experience a revenue growth of 20.1% in 2025.0.
In 2024, the projected market volume of the Grocery Delivery market is US$443.70m.
In terms of global comparison, China is projected to generate the highest revenue in the Online Food Delivery market, reaching US$450.50bn in 2024.
The average revenue per user (ARPU) in the Grocery Delivery market in Bangladesh is projected to amount to US$38.71 in 2024.
Moving on to the Grocery Delivery market, the number of users is expected to reach 16.7m users in Bangladesh by 2029.
Lastly, the user penetration rate in the Grocery Delivery market is projected to be at 6.6% in Bangladesh in 2024.
The online food delivery market in Bangladesh is experiencing significant growth, driven by the increasing demand for convenience and the availability of a wide variety of cuisine options.

Definition:

Online Food Delivery refers to the intersection of ordering groceries and prepared meals online. Orders are typically placed through an app or website and delivery times vary.

Structure:

The Online Food Delivery market contains the user and revenue development of two different delivery service solutions: (1) Meal Delivery and (2) Grocery Delivery. Included are services that deliver prepared meals and food ordered online for direct consumption (Meal Delivery) and non-prepared food and beverage products, household, and personal care products (Grocery Delivery). Meal delivery includes the delivery of meals carried out directly by restaurants (Restaurant Delivery) and online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves (Platform Delivery). Grocery Delivery consists of fresh, nonprepared products delivered from supermarkets or retailers where delivery is scheduled (Retail Delivery), Delivery that is under 3 hours and operates dark stores or own warehouses (Quick Commerce), and prepared fresh ingredients to be prepared at home, typically offered through a subscription service (Meal Kit Delivery).

Additional Information:

Revenue figures are 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 and groceries ordered online that are directly delivered by the restaurant, retailer, or platform no matter if ordered via a platform (e.g. Delivery Hero, Instacart) or a restaurant/retailer website (e.g. Domino's, Walmart.com)
Online meal and grocery order and delivery both carried out by a platform (e.g. Deliveroo, Grab, Flink)

Phone orders
Click & collect Grocery orders
Ready-to-eat meals

The Online Food Delivery market in Bangladesh has been growing exponentially in recent years, driven by a combination of factors such as changing consumer preferences, technological advancements, and the rise of the middle class.

Customer preferences: The convenience of ordering food online and having it delivered to one's doorstep has become increasingly popular among consumers in Bangladesh. With the hectic lifestyle of urban dwellers, the ability to order food with just a few clicks has become a lifesaver for many. Furthermore, the COVID-19 pandemic has accelerated this trend as people are avoiding crowded places and opting for contactless delivery options.

Trends in the market: The online food delivery market in Bangladesh has seen the entry of several international players in recent years, such as Uber Eats, Foodpanda, and Deliveroo. This has led to increased competition and innovation in the market, with companies offering various discounts and promotions to attract customers. Moreover, there has been a rise in the number of cloud kitchens, which are delivery-only restaurants, catering specifically to the online market.

Local special circumstances: Bangladesh is a densely populated country with a large number of low-income consumers. As a result, the online food delivery market in Bangladesh has been dominated by low-cost options, with companies offering affordable meals to cater to the local market. Additionally, local cuisine is a significant driver of the market, with consumers preferring to order traditional dishes such as biryani and kebabs.

Underlying macroeconomic factors: The rise of the middle class in Bangladesh has been a significant driver of the online food delivery market, with consumers having more disposable income to spend on food. Furthermore, the growth of the e-commerce industry in the country has created a conducive environment for the online food delivery market to thrive. With the government's Digital Bangladesh initiative, which aims to promote the use of technology in all aspects of life, the online food delivery market is expected to continue growing in the coming years.

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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