Online Food Delivery

Revenue in Tajikistan's Online Food Delivery market is projected to reach US$6.47m in 2024.
The market is expected to show an annual growth rate (CAGR 2024-2029) of 11.39%, resulting in a projected market volume of US$11.09m by 2029.
The Grocery Delivery market in Tajikistan is expected to show a revenue growth of 16.4% in 2025.0.
It has a projected market volume of US$4.86m in 2024.
In global comparison, China is expected to generate the most revenue, reaching US$450.50bn in 2024.
Tajikistan's Grocery Delivery market is projected to have an average revenue per user (ARPU) of US$16.52 in 2024.
In the Grocery Delivery market, the number of users in Tajikistan is expected to reach 1.0m users by 2029.
The user penetration in the Grocery Delivery market will be at 6.5% in 2024.
Tajikistan's online food delivery market is experiencing rapid growth, driven by increasing smartphone penetration and a growing young urban population.

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 food delivery market in Tajikistan has been growing steadily in recent years, driven by changing consumer preferences and the increasing availability of online delivery platforms.

Customer preferences: Tajik consumers are increasingly turning to online food delivery services as a convenient and time-saving alternative to traditional dining options. This trend is particularly evident among younger consumers, who are more likely to use mobile apps and online platforms to order food. Additionally, the COVID-19 pandemic has accelerated the adoption of online food delivery services, as many consumers have been forced to stay at home and avoid public places.

Trends in the market: One of the key trends in the Tajik food delivery market is the rise of local delivery platforms. While international players such as Uber Eats and Glovo are present in the market, they face stiff competition from local players such as Menu.tj and Foodpanda. These local platforms have a better understanding of the local market and are able to offer a wider range of cuisine options. Another trend is the increasing popularity of healthy and organic food options, as consumers become more health-conscious and seek out healthier food choices.

Local special circumstances: Tajikistan is a landlocked country with a predominantly mountainous terrain, which presents logistical challenges for food delivery services. However, this has also created opportunities for local players to develop innovative delivery solutions, such as using motorbikes and bicycles to navigate the narrow and winding mountain roads. Additionally, Tajikistan has a rich culinary tradition, with a diverse range of regional and ethnic cuisines that are popular among locals and tourists alike.

Underlying macroeconomic factors: Tajikistan is one of the poorest countries in Central Asia, with a largely agrarian economy and limited industrial development. However, the country has experienced steady economic growth in recent years, driven by remittances from migrant workers and investments in infrastructure. This has led to a growing middle class with more disposable income, which has in turn fuelled demand for food delivery services. Additionally, the government has implemented policies to promote entrepreneurship and small business development, which has encouraged the growth of local food delivery platforms.

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.

This report presents a comprehensive analysis and additional information on the Ecommerce market, in a PDF format.