Meal Delivery - Hungary

  • Hungary
  • Revenue in Hungary's Meal Delivery market is projected to reach US$81.69m in 2024.
  • The market is expected to show an annual growth rate (CAGR 2024-2029) of 4.50%, resulting in a projected market volume of US$101.80m by 2029.
  • The Platform Deliverymarket in Hungary has a projected market volume of US$62.09m in 2024.
  • In global comparison, the highest revenue will be generated China, with US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in Hungary's Meal Delivery market is projected to be US$37.84 in 2024.
  • By 2029, the number of users in the market is expected to reach 2.5m users.
  • The user penetration rate in Hungary's Meal Delivery market will be at 21.6% in 2024.
  • The demand for meal delivery services in Hungary has significantly increased, driven by busy urban lifestyles and a desire for convenience.
 
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Analyst Opinion

The popularity of meal delivery services has been on the rise in Hungary in recent years, with an increasing number of consumers opting for the convenience and ease of having food delivered to their doorstep.

Customer preferences:
Hungarian consumers have shown a growing preference for healthy and organic food options, which has led to an increase in the number of meal delivery services offering such options. Additionally, there has been a rise in demand for vegetarian and vegan meal options, which has prompted many meal delivery services to expand their menus to cater to this growing customer base.

Trends in the market:
One of the key trends in the Hungarian meal delivery market is the use of technology to enhance the customer experience. Many meal delivery services now offer mobile apps and online ordering platforms that allow customers to easily place and track their orders. Additionally, some services have started using AI and machine learning to personalize their offerings based on customer preferences and order history.Another trend in the market is the increasing popularity of subscription-based meal delivery services, which offer customers the convenience of regular deliveries without the hassle of placing individual orders. These services often offer discounts and other perks to subscribers, which has helped to drive their popularity.Local Special circumstances: Hungary has a rich culinary tradition, and many meal delivery services have capitalized on this by offering traditional Hungarian dishes alongside more modern options. This has helped to differentiate these services from their competitors and appeal to customers looking for an authentic dining experience.

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 helped to drive the growth of the meal delivery market, as consumers are more willing to spend money on convenience and luxury services. Additionally, the COVID-19 pandemic has accelerated the adoption of meal delivery services, as more consumers have been forced to stay at home and avoid dining out.

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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