Restaurant Delivery - Hungary

  • Hungary
  • The Restaurant Delivery market in Hungary is projected to reach a revenue of US$69.41m in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 4.60%, resulting in a projected market volume of US$86.91m by 2029.
  • By that time, the number of users in the Restaurant Delivery market is expected to amount to 1.9m users.
  • The user penetration is predicted to be 16.8% in 2024 and is expected to increase to 19.6% by 2029.
  • The average revenue per user (ARPU) is projected to be US$41.46.
  • Comparatively, United States is expected to generate the most revenue in the global Restaurant Delivery market, with an estimated revenue of US$36,950.00m in 2024.
  • It is worth noting that South Korea is projected to have the highest user penetration rate in the Restaurant Delivery market, with a rate of 44.8%.
  • In Hungary, the restaurant delivery market is booming, with an increasing number of consumers opting for convenient and hassle-free dining experiences at home.
 
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Analyst Opinion

Hungary, a country located in the heart of Europe, has a developing Restaurant Delivery market that has seen significant growth in recent years.

Customer preferences:
Hungarian consumers are increasingly turning to online food delivery services for convenience and time-saving purposes. The younger generation, in particular, is more likely to order food online and use food delivery apps. The pandemic has further accelerated this trend, as more people are staying at home and relying on food delivery services for their meals.

Trends in the market:
One of the major trends in the Hungarian Restaurant Delivery market is the emergence of new players in the market. This has increased competition and led to better services and more options for consumers. Another trend is the adoption of new technologies, such as artificial intelligence and machine learning, to improve the efficiency of food delivery services.

Local special circumstances:
Hungary has a unique food culture that is heavily influenced by its history and geography. Hungarian cuisine is known for its hearty and filling dishes, such as goulash and paprikash. This presents a challenge for food delivery services, as these dishes are not always easy to transport and can be difficult to keep warm. However, many restaurants have adapted to this challenge by offering specially designed packaging and delivery methods.

Underlying macroeconomic factors:
The Hungarian economy has been growing steadily in recent years, which has led to an increase in disposable income and consumer spending. This has contributed to the growth of the Restaurant Delivery market, as more people are willing to spend money on food delivery services. Additionally, Hungary has a large and growing tourism industry, which has increased demand for food delivery services in popular tourist destinations.In summary, the Hungarian Restaurant Delivery market is developing rapidly due to changing consumer preferences, increased competition, adoption of new technologies, unique local food culture, and underlying macroeconomic factors. As the market continues to grow and evolve, it will be interesting to see how these trends and special circumstances shape its future.

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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