Online Food Delivery - Georgia

Georgia

The projected revenue in the Online Food Delivery market for Georgia is expected to reach US$125.20m in 2024.
This market is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 17.94%, resulting in a projected market volume of US$285.70m by 2029.
Furthermore, the Grocery Delivery market in Georgia is expected to experience a revenue growth of 30.7% in 2025.
In 2024, the projected market volume for this market is estimated to be US$120.10m.
In comparison to other countries, China is projected to generate the most revenue in the Online Food Delivery market with US$448.90bn in 2024.
Moving on to the average revenue per user (ARPU) in the Grocery Delivery market, it is projected to amount to US$202.80 in 2024 for Georgia.
Shifting focus to the Grocery Delivery market, the number of users in Georgia is expected to reach 867.0k users by 2029.
Additionally, the user penetration in this market is predicted to be at 15.9% in 2024.
Georgia's online food delivery market is booming, with a wide range of local cuisine options available at the click of a button.

Market

Region

Region comparison

Currency

Analyst Opinion

Georgia, a country located at the crossroads of Western Asia and Eastern Europe, has seen a surge in the Online Food Delivery market in recent years.

Customer preferences: The convenience of ordering food online and having it delivered to their doorstep is a major factor driving the growth of the Online Food Delivery market in Georgia. Customers prefer to order food online due to the ease of use, variety of options, and the ability to track their delivery in real-time. The younger generation, who are more tech-savvy, are the primary users of online food delivery services in Georgia.

Trends in the market: The Online Food Delivery market in Georgia has seen a significant increase in the number of players entering the market, resulting in increased competition. This has led to innovative marketing strategies and promotions to attract and retain customers. The market has also seen an increase in the number of restaurants partnering with online food delivery platforms to expand their customer base.

Local special circumstances: Georgia has a rich culinary culture, with a variety of traditional dishes that are unique to the region. Online food delivery platforms in Georgia have recognized this and have adapted their menus to cater to local tastes and preferences. Additionally, the COVID-19 pandemic has accelerated the growth of the Online Food Delivery market in Georgia, as more people are opting for home delivery services to avoid going out and risking exposure to the virus.

Underlying macroeconomic factors: Georgia's growing economy and increasing disposable income have contributed to the growth of the Online Food Delivery market. The country's tourism industry has also played a role, as tourists are more likely to use online food delivery services while traveling. The government's efforts to promote entrepreneurship and innovation have also created a favorable environment for online food delivery platforms to operate and grow in Georgia.

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.