Online Food Delivery

Revenue in Uzbekistan's Online Food Delivery market is projected to reach US$42.18m in 2024.
The market is expected to exhibit an annual growth rate (CAGR 2024-2029) of 7.44%, resulting in a projected market volume of US$60.39m by 2029.
Similarly, the Grocery Delivery market in Uzbekistan is anticipated to experience a revenue growth of 10.2% in 2025.0, with a projected market volume of US$29.11m in 2024.
When compared globally, China is expected to generate the highest revenue in the Online Food Delivery market, amounting to US$450.50bn in 2024.
Looking specifically at the Grocery Delivery market in Uzbekistan, the average revenue per user (ARPU) is projected to be US$16.91 in 2024.
Additionally, in the Grocery Delivery market, the number of users is expected to reach 5.8m users by 2029.
The user penetration rate in the Grocery Delivery market is forecasted to be 12.0% in 2024.
Despite being a relatively new market, online food delivery in Uzbekistan is rapidly growing, with a focus on traditional Uzbek cuisine.

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

Uzbekistan, a Central Asian country, is known for its rich history and culture. However, in recent years, the country has also been making strides in the online food delivery market.

Customer preferences: Uzbekistan has a young population, with a significant portion being tech-savvy millennials. These consumers have a preference for convenience and efficiency, which is driving the growth of the online food delivery market. Additionally, the country has a large urban population, and people living in cities tend to have busier lifestyles, making online food delivery a more attractive option.

Trends in the market: One of the main trends in the online food delivery market in Uzbekistan is the entry of international players. Companies such as Yandex Eats and Delivery Hero have recently expanded into the market, bringing with them their expertise and resources. This increased competition is driving innovation and improving the quality of service.Another trend is the adoption of mobile technology. With the majority of the population owning a smartphone, mobile apps have become the primary means of ordering food online. This trend is expected to continue, as more consumers become comfortable with using mobile apps for online transactions.

Local special circumstances: Uzbekistan has a unique cuisine that is a fusion of Central Asian, Persian, and Russian influences. This has led to the emergence of local online food delivery platforms that specialize in Uzbek cuisine. These platforms cater to both local and international customers who want to experience traditional Uzbek dishes.

Underlying macroeconomic factors: Uzbekistan has been experiencing steady economic growth in recent years, with a focus on modernizing and diversifying the economy. This growth has led to an increase in disposable income, which is driving consumer spending, including spending on online food delivery.In conclusion, the online food delivery market in Uzbekistan is growing, driven by the preferences of tech-savvy millennials, the convenience of online ordering, and increased competition from international players. The adoption of mobile technology and the emergence of local platforms specializing in Uzbek cuisine are also contributing to the market's growth. Finally, the country's steady economic growth and increasing disposable income are underlying macroeconomic factors that will continue to drive the market in the future.

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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