Restaurant Delivery - Ireland

  • Ireland
  • The Restaurant Delivery market in Ireland is projected to reach a revenue of US$196.40m by 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 4.26%, resulting in a projected market volume of US$241.90m by 2029.
  • By 2029, the number of users in the Restaurant Delivery market is expected to amount to 1.4m users.
  • The user penetration rate is projected to be 23.8% in 2024 and is expected to increase to 26.1% by 2029.
  • The average revenue per user (ARPU) is expected to be US$162.00.
  • In comparison to other countries, United States is projected to generate the highest revenue in the Restaurant Delivery market, reaching US$36,950.00m in 2024.
  • South Korea, on the other hand, is anticipated to have the highest user penetration rate with a projected rate of 53.1%.
  • The restaurant delivery market in Ireland is experiencing a surge in demand due to the convenience and safety it offers amidst the ongoing pandemic.
 
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Analyst Opinion

The restaurant delivery market in Ireland has been experiencing significant growth in recent years, driven by changing consumer preferences and technological advancements.

Customer preferences:
Irish consumers are increasingly opting for the convenience of food delivery services, particularly in urban areas where busy lifestyles and long commutes leave little time for cooking. Additionally, the COVID-19 pandemic has accelerated this trend as people spend more time at home and avoid crowded public spaces. Customers are also demanding healthier and more diverse food options, leading to the emergence of specialized delivery services catering to specific dietary requirements.

Trends in the market:
The restaurant delivery market in Ireland is highly competitive, with both local and international players vying for market share. There has been a surge in the number of food delivery platforms in recent years, offering customers a wide range of cuisines and price points. Many of these platforms are investing in technology to enhance the user experience, such as mobile apps, real-time order tracking, and personalized recommendations. Another trend in the market is the rise of dark kitchens, which are delivery-only restaurants that operate out of low-rent locations and rely solely on online orders.

Local special circumstances:
Ireland's small size and high population density make it an attractive market for food delivery services. The country's relatively affluent population also means that people are willing to pay a premium for convenience and quality. However, the market is highly regulated, with strict food safety and hygiene standards that can be a barrier to entry for new players. Additionally, the dominance of major players such as Just Eat and Deliveroo can make it difficult for smaller companies to compete.

Underlying macroeconomic factors:
The growth of the restaurant delivery market in Ireland is closely tied to broader economic trends, such as rising disposable incomes and urbanization. The country's strong tech sector and high internet penetration also make it an ideal market for online food delivery platforms. However, the ongoing uncertainty surrounding Brexit and the potential for trade disruptions could have a negative impact on the industry in the coming years.

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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