Meal Delivery - Ireland

  • Ireland
  • The Meal Delivery market in Ireland is expected to reach a revenue of US$251.40m in 2024.
  • It is projected to experience a compound annual growth rate (CAGR) of 4.17% from 2024 to 2029, resulting in a market volume of US$308.40m by 2029.
  • In the Platform Deliverymarket, the projected market volume in Ireland is estimated to be US$196.40m in 2024.
  • When compared globally, China is expected to generate the highest revenue, reaching US$182,900.00m in the same year.
  • The average revenue per user (ARPU) in the Meal Delivery market in Ireland is projected to be US$169.20 in 2024.
  • Additionally, the number of users in this market is expected to reach 1.7m users by 2029.
  • The user penetration rate in the Meal Delivery market is forecasted to be 29.2% in 2024.
  • Ireland's meal delivery market is experiencing a surge in demand as consumers seek convenient and healthy options amidst their busy lifestyles.
 
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Analyst Opinion

The Meal Delivery market in Ireland has experienced significant growth in recent years, driven by changing customer preferences and local special circumstances.

Customer preferences:
Irish customers have become increasingly interested in healthy and convenient food options, which has led to a rise in demand for meal delivery services. Customers are also looking for a variety of cuisines and dietary options, including vegan and gluten-free meals. Additionally, the COVID-19 pandemic has accelerated the adoption of meal delivery services as more people are staying at home and seeking contactless food delivery options.

Trends in the market:
One trend in the Irish Meal Delivery market is the emergence of niche meal delivery services that cater to specific dietary requirements or cuisines. For example, there has been a rise in vegan and vegetarian meal delivery services, as well as services that specialize in delivering meals from local restaurants. Another trend is the use of technology to enhance the customer experience, such as mobile apps for ordering and tracking deliveries.

Local special circumstances:
Ireland has a strong food culture, with a focus on fresh and locally-sourced ingredients. This has led to the development of meal delivery services that prioritize using locally-sourced ingredients and supporting local farmers and producers. Additionally, Ireland has a high concentration of tech companies and startups, which has fueled innovation in the meal delivery market.

Underlying macroeconomic factors:
The Irish economy has experienced steady growth in recent years, which has led to an increase in disposable income and consumer spending. This has contributed to the growth of the meal delivery market as customers are willing to pay for the convenience and quality of meal delivery services. Additionally, the COVID-19 pandemic has had a significant impact on the Irish economy, with many businesses pivoting to online sales and delivery services to stay afloat. This has led to a surge in demand for meal delivery services as more people are working from home and seeking easy and safe meal options.

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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