Restaurant Delivery - Croatia

  • Croatia
  • The projected revenue in the Restaurant Delivery market in Croatia is expected to reach US$58.99m by 2024.
  • This will result in an annual growth rate (CAGR 2024-2029) of 17.43%, leading to a projected market volume of US$131.70m by 2029.
  • Furthermore, the number of users in the Restaurant Delivery market is anticipated to reach 2.3m users by 2029.
  • The user penetration rate is predicted to be 29.0% in 2024, and it is projected to increase to 60.4% by 2029.
  • Additionally, the average revenue per user (ARPU) is expected to be US$51.07.
  • In comparison to other countries, United States is projected to generate the highest revenue in the Restaurant Delivery market, with an estimated amount of US$36,950.00m in 2024.
  • Moreover, South Korea is expected to have the highest user penetration rate in the market, with a projected rate of 53.1%.
  • Croatia's restaurant delivery market is witnessing a surge in demand, driven by the country's growing urban population and increasing preference for convenience.
 
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Analyst Opinion

The popularity of restaurant delivery services in Croatia has been on the rise in recent years, driven by changing consumer preferences and technological advancements in the food industry.

Customer preferences:
Croatian consumers are increasingly seeking convenience and time-saving options when it comes to food consumption. This has led to a surge in demand for restaurant delivery services, as customers are able to order their favorite meals from the comfort of their homes or offices, without having to physically visit the restaurant. Additionally, the COVID-19 pandemic has further accelerated this trend, as consumers have become more cautious about dining out in public spaces.

Trends in the market:
The restaurant delivery market in Croatia is highly competitive, with a large number of players vying for market share. While traditional food delivery companies continue to dominate the market, there has been a rise in the number of tech-enabled food delivery platforms that offer customers a wider range of food options and seamless ordering experiences. Moreover, there has been a growing trend of restaurants partnering with delivery platforms to expand their customer base and increase revenue streams.

Local special circumstances:
Croatia is a popular tourist destination, and the restaurant delivery market has also been impacted by the influx of tourists in the country. Many tourists prefer to order food delivery services to their accommodation, rather than dining out in restaurants. Additionally, the country's geography, with many islands and coastal areas, has also contributed to the growth of the restaurant delivery market, as it enables customers in remote locations to access a wider range of food options.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in Croatia is also influenced by underlying macroeconomic factors, such as rising disposable incomes and changing lifestyles. As more consumers become time-poor and seek convenient food options, the demand for restaurant delivery services is expected to continue to grow. Additionally, the increasing adoption of technology and digital platforms is also expected to contribute to the growth of the restaurant delivery market in Croatia.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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