Retail Delivery - Hungary

Hungary

Highlights

Market definition

In-Scope/Out-of-scope

Market structure

Reports

Methodology

Revenue in the Reail Delivery market market is projected to reach US$367.02m in 2025.
Revenue is expected to show an annual growth rate (CAGR 2025-2029) of 11.41%, resulting in a projected market volume of US$565.52m by 2029.
In the Reail Delivery market, the number of users is expected to amount to 2.3m users by 2029.
User penetration will be 19.3% in 2025 and is expected to hit 24.1% by 2029.
The average revenue per user (ARPU) is expected to amount to US$192.55.
In global comparison, most revenue will be generated United States (US$259.13bn in 2025).
With a projected rate of 32.5%, the user penetration in the Reail Delivery market is highest United States.

Analyst Opinion

The Retail Delivery market in Hungary has been experiencing significant growth in recent years.

Customer preferences: Hungarian customers are increasingly turning to online shopping due to the convenience it offers. The COVID-19 pandemic has also accelerated this trend as more people are staying at home and avoiding physical stores. As a result, there has been a surge in demand for home delivery services.

Trends in the market: One of the major trends in the Hungarian Retail Delivery market is the rise of same-day delivery. Customers are willing to pay extra for the convenience of receiving their orders on the same day. This has led to the emergence of new delivery companies that specialize in same-day delivery.Another trend is the increasing use of technology in the delivery process. Delivery companies are using advanced software and algorithms to optimize their delivery routes and improve efficiency. This has led to faster delivery times and reduced costs.

Local special circumstances: Hungary's geography and infrastructure have also played a role in shaping the Retail Delivery market. The country has a relatively small population, but it is spread out across a large area. This has made it challenging for delivery companies to reach all customers in a timely and cost-effective manner. As a result, there has been a focus on developing innovative delivery solutions that can overcome these challenges.

Underlying macroeconomic factors: The Hungarian economy has been growing steadily in recent years, which has led to an increase in consumer spending. This has created a favorable environment for the Retail Delivery market to thrive. Additionally, Hungary's membership in the European Union has facilitated cross-border trade and increased competition in the delivery market.In conclusion, the Retail Delivery market in Hungary is experiencing significant growth due to changing customer preferences, technological advancements, and favorable macroeconomic factors. Delivery companies are adapting to these trends by offering same-day delivery and leveraging technology to optimize their operations. However, the unique geographic and infrastructure challenges in Hungary have also led to the development of innovative delivery solutions.

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.

Retail Delivery - Hungary

Revenue

Analyst Opinion

Users

Global Comparison

Methodology

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