Quick Commerce - Croatia

  • Croatia
  • The Quick Commerce market in Croatia is projected to reach a revenue of US$20.79m by 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 4.68%, resulting in a projected market volume of US$26.13m by 2029.
  • In Croatia's Quick Commerce market, the number of users is expected to amount to 375.3k users by 2029.
  • The user penetration rate, which is currently 7.5% in 2024, is expected to hit 9.7% by 2029.
  • The average revenue per user (ARPU) is projected to be US$69.23.
  • In comparison to other countries, the Quick Commerce market China is expected to generate the highest revenue, reaching US$80,840.00m in 2024.
  • Additionally, China is projected to have the highest user penetration rate in the Quick Commerce market, with a rate of 21.4%.
  • In Croatia, the Quick Commerce market is thriving with the rise of convenience stores and online platforms for fast and efficient delivery of goods.
 
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Analyst Opinion

The Quick Commerce market in Croatia has been experiencing significant growth in recent years.

Customer preferences:
Croatian consumers have demonstrated a growing preference for fast and convenient delivery options. The rise of Quick Commerce services has been driven by the increasing demand for on-demand delivery of groceries, meals, and other goods. In addition, the COVID-19 pandemic has accelerated the adoption of digital platforms and contactless delivery options, further boosting the Quick Commerce market in Croatia.

Trends in the market:
One of the major trends in the Quick Commerce market in Croatia is the expansion of international players. Several global Quick Commerce companies have entered the Croatian market, offering a wide range of products and services. This has led to increased competition and innovation, with companies introducing new features such as real-time tracking and personalized recommendations.Another trend is the emergence of local Quick Commerce startups. These companies have been able to leverage their knowledge of the local market and consumer preferences to offer unique services and products. Some of these startups have focused on specific niches, such as organic food delivery or pet supplies.

Local special circumstances:
Croatia's geography and infrastructure also play a role in the development of the Quick Commerce market. The country's coastline and islands pose logistical challenges for traditional delivery methods, making Quick Commerce services an attractive option for consumers in these areas. In addition, the country's relatively small size and population density make it easier for Quick Commerce companies to establish a presence and offer fast delivery times.

Underlying macroeconomic factors:
The growth of the Quick Commerce market in Croatia is also influenced by broader macroeconomic factors. Croatia's economy has been steadily growing, with increasing levels of disposable income and consumer spending. This has led to a greater demand for convenience and luxury goods, which Quick Commerce companies are well-positioned to provide. Additionally, Croatia's tourism industry has been a significant driver of the Quick Commerce market, with many tourists seeking fast and convenient delivery options during their stay.

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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