Online Food Delivery - Fiji

  • Fiji
  • The projected revenue in the Online Food Delivery market for Fiji is expected to reach US$69.73m in 2024.
  • This represents a significant growth rate of 18.60% (CAGR 2024-2029), resulting in a projected market volume of US$163.60m by 2029.
  • In Fiji, the Grocery Delivery market is also expected to experience growth, with a revenue growth rate of 30.4% in 2025.
  • The projected market volume for this market is estimated to be US$69.18m in 2024.
  • When compared globally, China is anticipated to generate the highest revenue in the Online Food Delivery market, reaching US$448.90bn in 2024.
  • In Fiji's Grocery Delivery market, the average revenue per user (ARPU) is projected to be US$882.40 in 2024.
  • Moving on to the Grocery Delivery market, the number of users is expected to reach 108.1k users by 2029.
  • Additionally, the user penetration rate in this market is estimated to be 8.3% in 2024.
  • The online food delivery market in Fiji is experiencing a surge in demand, driven by the convenience and accessibility it offers to the island nation's residents.
 
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Analyst Opinion

Online food delivery is an emerging market in Fiji, with a growing number of consumers opting for this convenient and time-saving option for their meals.

Customer preferences:
Fiji's population is largely made up of young people who are tech-savvy and prefer the ease of ordering food online. The convenience of ordering food from the comfort of their homes or offices, coupled with the availability of a wide range of cuisines, has made online food delivery an attractive option for many consumers. Additionally, the increasing number of busy professionals and students who have limited time to prepare meals has also contributed to the growth of this market.

Trends in the market:
The online food delivery market in Fiji is still in its early stages, with a few major players dominating the market. However, there has been a recent surge in the number of new entrants, indicating the potential for growth in this sector. One trend that has emerged is the increasing demand for healthy and organic food options, as consumers become more health-conscious. This has led to the introduction of healthier food options on online menus, catering to the growing demand for healthy food.

Local special circumstances:
Fiji's unique geography and infrastructure present challenges for the online food delivery market. The country consists of more than 300 islands, which can make it difficult for delivery companies to reach certain areas. Additionally, the lack of proper addressing systems in many parts of the country can also pose a challenge for delivery companies.

Underlying macroeconomic factors:
Fiji's growing tourism industry has contributed to the growth of the online food delivery market, with many tourists opting for the convenience of ordering food online. Additionally, the country's growing middle class and increasing disposable income have also contributed to the growth of this market. However, the impact of the COVID-19 pandemic on the tourism industry and the economy as a whole remains a challenge for the online food delivery market in Fiji.

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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