Restaurant Delivery - Albania

Albania

Highlights

The projected revenue in the Restaurant Delivery market in Albania is estimated to reach US$3.96m in 2024.
It is expected to experience an annual growth rate (CAGR 2024-2029) of 2.83%, resulting in a projected market volume of US$4.55m by 2029.
Additionally, the number of users in the Restaurant Delivery market is expected to reach 166.4k users by 2029.
The user penetration rate, which measures the percentage of the population using restaurant delivery services, is projected to be 5.3% in 2024 and is expected to increase to 5.9% by 2029.
The average revenue per user (ARPU) is estimated to be US$26.51.
In a global comparison, United States is anticipated to generate the highest revenue in the Restaurant Delivery market, with US$36.95bn in 2024.
On the other hand, South Korea is expected to have the highest user penetration rate in the market, with a projected rate of 44.8%.
In Albania, the restaurant delivery market is experiencing a surge in demand due to the increasing popularity of online food ordering platforms.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Albania, a small country located in the Balkan Peninsula, is experiencing a growing trend in the restaurant delivery market.

Customer preferences: The younger generation in Albania is leading the trend in restaurant delivery services. They are tech-savvy and prefer to use online platforms and mobile apps to order food. With the rise of the gig economy, more people are working from home, and the convenience of having food delivered is becoming increasingly popular.

Trends in the market: The restaurant delivery market in Albania is relatively new and still in its early stages. However, the market is growing at a rapid pace with the entry of new players in the market. The competition is fierce, and companies are offering discounts and promotions to attract customers. Some of the popular players in the market include Glovo, Delivery Hero, and Uber Eats.

Local special circumstances: Albania has a unique cuisine that is a blend of Mediterranean and Balkan flavors. The local cuisine is gaining popularity, and restaurants are offering traditional dishes for delivery. The pandemic has also played a significant role in the growth of the restaurant delivery market. With the restrictions on indoor dining, people are turning to delivery services for their food needs.

Underlying macroeconomic factors: Albania is a developing country with a growing economy. The country has a young population with a median age of 32 years. The rise of the middle class and increased disposable income has led to a change in consumer behavior. People are willing to spend more on convenience and are turning to delivery services for their food needs. The government is also taking steps to improve the infrastructure and promote entrepreneurship, which is creating more opportunities in the market. In conclusion, the restaurant delivery market in Albania is growing at a rapid pace, driven by the younger generation's preference for convenience and the unique local cuisine. The market is still in its early stages, and the competition is fierce. With the rise of the middle class and increased disposable income, the market is expected to continue to grow 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.