Restaurant Delivery - Fiji

  • Fiji
  • The Restaurant Delivery market in Fiji is expected to reach a revenue of US$272.10k in 2024.
  • This projection indicates an annual growth rate (CAGR 2024-2029) of 3.91%, leading to a projected market volume of US$329.70k by 2029.
  • Additionally, the number of users in the Restaurant Delivery market is estimated to reach 22.1k users by 2029.
  • The user penetration is anticipated to be 2.0% in 2024 and is expected to increase to 2.3% by 2029.
  • The average revenue per user (ARPU) is projected to be US$14.28.
  • In comparison to other countries, United States is expected to generate the highest revenue in the global Restaurant Delivery market, amounting to US$36,950.00m in 2024.
  • However, in terms of user penetration, South Korea leads with a projected rate of 53.1%.
  • The rise of online food delivery platforms in Fiji has revolutionized the restaurant industry, providing convenient and efficient options for locals to enjoy their favorite meals from the comfort of their homes.
 
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Analyst Opinion

Fiji, a beautiful island nation located in the South Pacific Ocean, is known for its stunning beaches, lush rainforests, and vibrant culture. In recent years, the restaurant delivery market in Fiji has been rapidly developing, providing locals and tourists with convenient and diverse food options.

Customer preferences:
Fijians, like many people around the world, are increasingly turning to online food delivery services for their meals. The convenience of having food delivered to their doorstep, combined with the wide variety of options available, has made this market highly attractive to consumers. Additionally, with the rise of social media influencers and food bloggers, there is a growing interest in trying new and unique food options.

Trends in the market:
One of the main trends in the restaurant delivery market in Fiji is the increasing number of food delivery services available. Local businesses and international chains alike are expanding their delivery options, providing customers with a wider range of choices. Another trend is the rise of healthy food delivery services, catering to the growing demand for nutritious and wholesome meals.

Local special circumstances:
Despite the growing popularity of food delivery services, Fiji's unique geography presents some challenges. The country is made up of more than 300 islands, many of which are remote and difficult to access. This makes it challenging for delivery services to reach all areas of the country, particularly those outside of the main urban centers.

Underlying macroeconomic factors:
The restaurant delivery market in Fiji is influenced by a number of macroeconomic factors. One of the key drivers is the country's growing tourism industry, which has led to an increase in demand for food delivery services. Additionally, the rise of e-commerce and online shopping in Fiji has made it easier for businesses to offer food delivery services. Finally, the country's relatively young and tech-savvy population has embraced online food delivery as a convenient and efficient way to order meals.

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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