×
The email you entered is not valid.
Investing, Business

Food Delivery Market in Hong Kong: Deliveroo, Foodpanda, UberEats

Source: https://blog.measurable.ai/2021/05/18/food-delivery-market-in-hong-kong-deliveroo-foodpanda-ubereats/

The competitive landscape of the food delivery market in Asia has changed a lot in 2021. Previously our reports showed how major food delivery companies in Asia were performing during covid (Read The Roller Coaster Goes On: Food-Delivery Companies in Asia). After a year of pandemic, the battle goes on, and is heating up in one of the most densely populated markets – Hong Kong.

Based on Measurable AI’s transactional e-receipts data from January to April 2021, Foodpanda leads with a slight edge in revenue market share in Hong Kong, against its rival Deliveroo, while UberEats still occupies a smaller share at around 5%.

In our previous study, we found out that Deliveroo Plus’ VIP users tend to order more frequently with a lower average order amount compared to its non-VIP users.

Foodpanda’s paid users, however, behave differently. In late March, Foodpanda also launched its paid membership program Panda Pro with a $HK 65/ month subscription fee. Unlike Deliveroo Plus who offers free deliveries for all orders, Panda Pro only covers 5 free deliveries per month. Thus Foodpanda users on average still pay more on delivery fees. The chart below shows how users react to fees including order price(except for delivery fee) and delivery fee.

Average order price: Deliveroo > Foodpanda > UberEats

Delivery fee: UberEats > Foodpanda > Deliveroo

The chart also shows that Deliveroo in recent months still owns the highest total order value and lowest delivery fee with a relatively medium-sized user group. Even if we weed out the Deliveroo plus users, Deliveroo still charges the lowest delivery fees. In April, the average spend of Deliveroo is around 20% higher than that of Foodpanda.

In the past 4 months, the aggregate market size of the food delivery market in Hong Kong didn’t grow much. Foodpanda and Deliveroo had an approximate revenue market share of around 47% in both January and March. In the remaining two months, Foodpanda had a slight advantage owing to the monthly revenue decline of Deliveroo.

User overlap is an important indicator of user loyalty. According to Measurable AI’s e-receipts data in 2021, 43%(+6% compared to 2020 data) of users choose Foodpanda exclusively. Among all Foodpanda users, 32%(-4%) also ordered food through Deliveroo and 12%(-8%) on UberEats.

GET WEEKLY ALERTS

Sign up to receive our stories in your inbox.

The email you entered is not valid.

LET US HELP

Data is changing the speed of business. Investors, Corporations, and Governments are buying new, differentiated data to gain visibility make better decisions. Don't fall behind. Let us help.

DATA PROVIDER SPOTLIGHT

Measurable AI

Measurable AI provides consumer insights based on over 10 million online shoppers’ actual transnational data. All the email transnational data comes from our company’s very own email applications: MailTime, Email Messenger and Magic Crystal.

Currently we offer two types of products:

  1. Data dashboards that visualize companies’ revenue trends, market share change, SKU distribution and purchase retention.
  2. De-identified datasets that cover tickers in different markets with full metrics at granular level.

GET WEEKLY ALERTS

Sign up to receive our stories in your inbox.

The email you entered is not valid.

LET US HELP

Data is changing the speed of business. Investors, Corporations, and Governments are buying new, differentiated data to gain visibility make better decisions. Don't fall behind. Let us help.

DATA PROVIDER SPOTLIGHT

Measurable AI

Measurable AI provides consumer insights based on over 10 million online shoppers’ actual transnational data. All the email transnational data comes from our company’s very own email applications: MailTime, Email Messenger and Magic Crystal.

Currently we offer two types of products:

  1. Data dashboards that visualize companies’ revenue trends, market share change, SKU distribution and purchase retention.
  2. De-identified datasets that cover tickers in different markets with full metrics at granular level.