Quick Commerce - Ireland

Ireland

Highlights

In Ireland, the Quick Commerce market is projected to reach a revenue of US$105.90m in 2024.
This market is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 6.40%, resulting in a projected market volume of US$144.40m by 2029.
By 2029, the number of users in the Quick Commerce market is estimated to reach 756.9k users.
The user penetration, which currently stands at 10.9% in 2024, is anticipated to increase to 14.4% by 2029.
The average revenue per user (ARPU) is expected to be US$190.60.
When comparing globally, China is projected to generate the highest revenue in the Quick Commerce market, amounting to US$80.84bn in 2024.
Additionally, China is expected to have the highest user penetration rate in the Quick Commerce market, with a projected rate of 21.4%.
In Ireland, the Quick Commerce market is thriving with the rise of digital platforms and the increasing demand for convenient and fast delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Quick Commerce market in Ireland has been rapidly developing in recent years, driven by various factors such as changing customer preferences and local special circumstances.

Customer preferences: Irish consumers have been increasingly embracing the convenience of online shopping, especially for everyday items such as groceries and household essentials. This has led to a surge in demand for Quick Commerce services that offer fast and reliable delivery of these goods. Additionally, the COVID-19 pandemic has accelerated the adoption of online shopping and home delivery, as consumers seek to minimize their exposure to public spaces.

Trends in the market: The Quick Commerce market in Ireland has seen significant growth in recent years, with both established players and new entrants vying for market share. One trend that has emerged is the expansion of Quick Commerce services beyond urban areas, as companies seek to tap into the growing demand for online shopping in rural regions. Another trend is the increasing use of technology such as artificial intelligence and machine learning to optimize delivery routes and enhance the overall customer experience.

Local special circumstances: Ireland's small size and dense population make it an ideal market for Quick Commerce services, as delivery times can be relatively short and logistics costs can be kept low. Additionally, the country's strong tech sector has attracted a number of startups and established players looking to innovate in the Quick Commerce space. However, the highly competitive nature of the Irish market means that companies must remain agile and responsive to changing consumer preferences in order to succeed.

Underlying macroeconomic factors: Ireland's strong economic growth and low unemployment rate have contributed to a favorable business environment for Quick Commerce companies. Additionally, the country's membership in the European Union provides access to a large market and favorable trade agreements. However, ongoing uncertainty surrounding Brexit and potential changes to EU trade policies could pose challenges for Quick Commerce companies operating in Ireland.

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.