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Quick Commerce - New Zealand

New Zealand

The Quick Commerce market in New Zealand is projected to reach a revenue of NZD US$130.80m in 2024.
It is expected to exhibit an annual growth rate of 8.36% (CAGR 2024-2029), resulting in a projected market volume of NZD US$195.40m by 2029.
By that year, the number of users in the Quick Commerce market is estimated to reach 719.8k users.
The user penetration rate, which stands at 9.5% in 2024, is projected to increase to 13.2% by 2029.
The average revenue per user (ARPU) is expected to be NZD US$260.70.
In comparison to other countries, China is anticipated to generate the highest revenue in the Quick Commerce market, amounting to CNY US$80,840.00m in 2024.
Additionally, China boasts the highest user penetration rate in the Quick Commerce market, projected to reach 21.4%.
In New Zealand, the quick commerce market is seeing a surge in demand due to the country's tech-savvy population and preference for convenience.

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Analyst Opinion

New Zealand, a country known for its natural beauty and adventure sports, has been experiencing a surge in the Quick Commerce market in recent years.

Customer preferences: New Zealanders are known for their love of convenience and efficiency, and this is reflected in their increasing adoption of Quick Commerce services. With a busy lifestyle and a desire for instant gratification, consumers are turning to Quick Commerce for their daily needs, including food, groceries, and household essentials. The younger generation, in particular, is driving this trend, as they are more tech-savvy and comfortable with mobile apps and online ordering.

Trends in the market: The Quick Commerce market in New Zealand is evolving rapidly, with new players entering the market and existing ones expanding their services. One of the key trends is the rise of dark stores or micro-fulfilment centers, which are dedicated warehouses that cater exclusively to online orders. This allows companies to offer faster delivery times and a wider range of products, while also reducing delivery costs.Another trend is the integration of Quick Commerce services with traditional brick-and-mortar stores. This hybrid model allows customers to order online and pick up their purchases in-store, providing a seamless shopping experience. Some retailers are also experimenting with drone delivery and autonomous vehicles to further improve delivery times and efficiency.

Local special circumstances: New Zealand's unique geography and population distribution pose some challenges for the Quick Commerce market. With a relatively small population spread across a large area, delivery costs can be high, and logistics can be complex. However, the country's high smartphone penetration and advanced mobile network infrastructure make it an attractive market for Quick Commerce providers.

Underlying macroeconomic factors: New Zealand's strong economy and high disposable income levels are driving consumer spending, including online shopping. The country's tourism industry, which accounts for a significant portion of its GDP, is also contributing to the growth of Quick Commerce, as tourists are increasingly using these services to order food and other essentials during their stay. Additionally, the COVID-19 pandemic has accelerated the adoption of Quick Commerce, as more people are staying home and avoiding crowded places. In conclusion, the Quick Commerce market in New Zealand is experiencing rapid growth, driven by customer preferences for convenience and efficiency, the rise of dark stores and hybrid models, and the country's strong economy and advanced mobile infrastructure. While there are some challenges posed by the country's geography and population distribution, the overall outlook for the Quick Commerce market in New Zealand is positive.

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.