Quick Commerce - Peru

Peru

Highlights

The Quick Commerce market in Peru is projected to reach a revenue of US$49.09m in 2024.
It is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 7.36%, resulting in a projected market volume of US$70.02m by 2029.
Moreover, the number of users in the Quick Commerce market is expected to reach 2.1m users by 2029.
The user penetration is projected to be 4.6% in 2024 and is expected to increase to 5.8% by 2029.
Additionally, the average revenue per user (ARPU) is projected to be US$30.59.
In global comparison, China is anticipated to generate the highest revenue in the Quick Commerce market, amounting to US$80.84bn in 2024.
Furthermore, China is expected to have the highest user penetration rate in the Quick Commerce market with a projected rate of 21.4%.
Peru's quick commerce market is rapidly expanding, driven by the growing demand for convenient and efficient delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Quick Commerce, also known as Q-Commerce, is an emerging trend in the retail industry that focuses on delivering goods to customers as quickly as possible. In Peru, the Quick Commerce market is experiencing significant growth due to several factors.

Customer preferences: Peruvian consumers are increasingly looking for convenience when it comes to shopping. With the rise of e-commerce platforms and mobile apps, customers can now order products from their smartphones and have them delivered to their doorstep within hours. This trend is particularly popular among younger consumers who value speed and convenience over traditional shopping methods.

Trends in the market: One of the key trends in the Quick Commerce market in Peru is the emergence of new players in the industry. Several local startups have entered the market in recent years, offering a range of products and services to customers. These companies are leveraging technology to streamline their operations and offer faster delivery times than traditional retailers.Another trend in the market is the increasing use of drones and other unmanned vehicles for delivery. This technology allows companies to deliver products to customers in remote or hard-to-reach areas more quickly and efficiently than traditional delivery methods.

Local special circumstances: One of the unique challenges facing the Quick Commerce market in Peru is the country's geography. With a diverse landscape that includes mountains, rainforests, and coastal regions, delivering products to customers can be challenging. However, companies are finding innovative solutions to overcome these challenges, such as using drones and other unmanned vehicles for delivery.

Underlying macroeconomic factors: Peru's growing economy and expanding middle class are driving the growth of the Quick Commerce market. As more consumers gain access to smartphones and the internet, the demand for fast and convenient shopping options is increasing. Additionally, the COVID-19 pandemic has accelerated the shift towards e-commerce and contactless delivery, further fueling the growth of the Quick Commerce market in Peru.

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.