Global Online Food Delivery Services Market Forecast 2035
According to the report, the global online food delivery services market is likely to grow from USD 264.6 Billion in 2025 to USD 540.6 Billion in 2035 at a highest CAGR of 6.7% during the time period. With the growing use of smartphones, high-speed internet and rapid uptake of digital payment platforms, the world online food delivery services market continues to grow freely. City dwellers are becoming more and more convenient and cost-sensitive in their cuisine choices, and this fact amplifies the move toward a revolution in the dining industry concerning switching to a more digital way of ordering. This has been increased by the emergence of cloud kitchens and ghost restaurants which do not have a physical restaurant but serve only on online delivery, and this has increased the number of dishes provided at a low cost to the providers. The development of partnerships between the restaurants and third-party applications like Uber Eats, DoorDash, Zomato, and Deliveroo is increasing accessibility and reach to customers in developed and developing economies. Besides, the younger age groups, particularly the millennials and Gen Z, are consuming the demand due to a shift in their lifestyles toward more time-efficient and demand on-demand products. Combined with technological innovations, such as AI-based personalization, GPS-based tracking, and delivery innovations that are eco-friendly, these trends are greatly driving the global market of online food delivery services.
“Key Driver, Restraint, and Growth Opportunity Shaping the Global Online Food Delivery Services Market
The limitation is that major delivery platforms impose very high commission fees, up to 30 percent per order, and exert financial burden on small and mid-sized restaurants. This usually causes tense alliances and constraints on contribution of independent restaurants, which restricts the inclusivity of the market in general.
A key opportunity in the growth of healthy and specialty meal delivery services, a market that is experiencing an increase in consumer demand due to the use of vegan, gluten-free, organic, and customized diets. With the help of niche products / services and subscription, the sites are able to attract new customer groups and be distinguished in a very competitive market.
Expansion of Global Online Food Delivery Services Market
“Global Online Food Delivery Services Market Expansion Driven by Lifestyle Shifts, Digital Integration, and Restaurant Partnerships”
- The growing population of the city accompanied by the growth in the disposable incomes is one of the biggest reasons that led to the expansion of the online food delivery services market. A majority of consumers are driven into digital solutions due to hectic schedules and traffic congestion, according to UN data, more than 56% of the global population already live in urban areas. This has seen a progressive increase in the online meal ordering and the highest rates are manifesting in Asia and North America.
- The introduction of digital capabilities in the form of recommendations based on AI, dynamic price models, and real-time tracking of orders. As a case in point, the Domino Pizza has used AI-based chatbots and GPS to improve efficiency in their deliveries and customer satisfaction substantially. With this kind of technology, user experience is improved, and platforms become appealing and competitive.
- Close partnerships of restaurants and delivery providers are increasing the rate of market penetration. As an example, the collaboration between McDonald and Uber Eats and DoorDash has facilitated the delivery to millions of customers across the world. Likewise, the smaller restaurants are deploying aggregator platforms to go beyond the local markets to guarantee expansion of the global ecosystem.
Regional Analysis of Global Online Food Delivery Services Market
- Online food delivery services are most in demand in North America because of the high levels of digital usage, domination by smartphones, and preference by consumers toward the convenience-based service. U.S. and Canada have already mature markets where the presence of similar players, such as DoorDash, Uber Eats, and Grubhub, contributes to billions of dollars in the annual revenue. Moreover, the high demand in the region is supported by a firm culture of the takeout and home dining, supported by the high urban lifestyles and prices.
- The online food delivery services market is experiencing the highest growth rate in Asia Pacific because of increased internet penetration, increased middle-income and the growing population of millennials. The most prominent countries include India, China, and Indonesia, where apps (e.g. Zomato, Swiggy, and Meituan) are transforming the way millions of people can access food. As an example, as of 2023, Meituan processed more than 17 billion food deliveries in the year, which indicates the explosive adoption rate in the region. The need to encourage digital payments by the governments and the increase in the number of smartphones users, further boosts growth making the Asia Pacific the most dynamic and fastest growing market in the world.
Prominent players operating in the global online food delivery services market are Caviar, ChowNow, Deliveroo, Delivery Hero, Domino’s Pizza, DoorDash, Ele.me (Alibaba Group), Foodpanda, Glovo, Grubhub, Just Eat Takeaway.com, Meituan Dianping, Menulog, Papa John’s International, Postmates, Slice, Swiggy, Talabat, Uber Eats, Zomato, and Other Key Players.
The global online food delivery services market has been segmented as follows:
Global Online Food Delivery Services Market Analysis, by Platform Type
- Mobile Applications
- Web Portals
Global Online Food Delivery Services Market Analysis, by Business Model
- Order-Focused Food Delivery Platforms
- Logistics-Focused Food Delivery Platforms
- Full-Service Providers
Global Online Food Delivery Services Market Analysis, by Type of Delivery
- Restaurant-to-Consumer Delivery
- Platform-to-Consumer Delivery
Global Online Food Delivery Services Market Analysis, by Payment Method
- Online Payment (Wallets, Cards, UPI)
- Cash on Delivery (COD)
Global Online Food Delivery Services Market Analysis, by Food Type
- Fast Food
- Full-Service Meals
- Healthy/Organic Food
- Desserts & Beverages
- Others
Global Online Food Delivery Services Market Analysis, by Device Used
- Smartphones/ Tablets
- Desktops/ Laptops
Global Online Food Delivery Services Market Analysis, by End User
- Individual Consumers
- Corporate Clients (Bulk Orders, Catering)
- Others
Global Online Food Delivery Services Market Analysis, by Region
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Table of Contents
- 1. Research Methodology and Assumptions
- 1.1. Definitions
- 1.2. Research Design and Approach
- 1.3. Data Collection Methods
- 1.4. Base Estimates and Calculations
- 1.5. Forecasting Models
- 1.5.1. Key Forecast Factors & Impact Analysis
- 1.6. Secondary Research
- 1.6.1. Open Sources
- 1.6.2. Paid Databases
- 1.6.3. Associations
- 1.7. Primary Research
- 1.7.1. Primary Sources
- 1.7.2. Primary Interviews with Stakeholders across Ecosystem
- 2. Executive Summary
- 2.1. Global Online Food Delivery Services Market Outlook
- 2.1.1. Online Food Delivery Services Market Size (Value - US$ Billion), and Forecasts, 2021-2035
- 2.1.2. Compounded Annual Growth Rate Analysis
- 2.1.3. Growth Opportunity Analysis
- 2.1.4. Segmental Share Analysis
- 2.1.5. Geographical Share Analysis
- 2.2. Market Analysis and Facts
- 2.3. Supply-Demand Analysis
- 2.4. Competitive Benchmarking
- 2.5. Go-to- Market Strategy
- 2.5.1. Customer/ End Use Industry Assessment
- 2.5.2. Growth Opportunity Data, 2025-2035
- 2.5.2.1. Regional Data
- 2.5.2.2. Country Data
- 2.5.2.3. Segmental Data
- 2.5.3. Identification of Potential Market Spaces
- 2.5.4. GAP Analysis
- 2.5.5. Potential Attractive Price Points
- 2.5.6. Prevailing Market Risks & Challenges
- 2.5.7. Preferred Sales & Marketing Strategies
- 2.5.8. Key Recommendations and Analysis
- 2.5.9. A Way Forward
- 2.1. Global Online Food Delivery Services Market Outlook
- 3. Industry Data and Premium Insights
- 3.1. Global Consumer Goods & Services Overview, 2025
- 3.1.1. Industry Ecosystem Analysis
- 3.1.2. Key Trends for Consumer Goods & Services Industry
- 3.1.3. Regional Distribution for Consumer Goods & Services
- 3.2. Supplier Customer Data
- 3.3. Technology Roadmap and Developments
- 3.1. Global Consumer Goods & Services Overview, 2025
- 4. Market Overview
- 4.1. Market Dynamics
- 4.1.1. Drivers
- 4.1.1.1. Widespread smartphone and internet penetration simplifying ordering and expanding user base
- 4.1.1.2. Consumer demand for convenience and on‑demand service, fueled by urbanization and busy lifestyles
- 4.1.1.3. Heavy investment in delivery tech, including apps, AI routing, and real-time tracking
- 4.1.2. Restraints
- 4.1.2.1. Logistical complexities and delivery costs, including last-mile efficiency and fleet management
- 4.1.1. Drivers
- 4.2. Key Trend Analysis
- 4.3. Regulatory Framework
- 4.3.1. Key Regulations, Norms, and Subsidies, by Key Countries
- 4.3.2. Tariffs and Standards
- 4.3.3. Impact Analysis of Regulations on the Market
- 4.4. Value Chain Analysis/ Ecosystem Analysis
- 4.4.1. Platform Providers
- 4.4.2. Restaurant Partners & Cloud Kitchens
- 4.4.3. Logistics & Delivery Network
- 4.4.4. End Users/ Customers
- 4.5. Cost Structure Analysis
- 4.5.1. Parameter’s Share for Cost Associated
- 4.5.2. COGP vs COGS
- 4.5.3. Profit Margin Analysis
- 4.6. Porter’s Five Forces Analysis
- 4.7. PESTEL Analysis
- 4.8. Global Online Food Delivery Services Market Demand
- 4.8.1. Historical Market Size - in Value (Value - US$ Billion), 2021-2024
- 4.8.2. Current and Future Market Size - in Value (Value - US$ Billion), 2025–2035
- 4.8.2.1. Y-o-Y Growth Trends
- 4.8.2.2. Absolute $ Opportunity Assessment
- 4.1. Market Dynamics
- 5. Competition Landscape
- 5.1. Competition structure
- 5.1.1. Fragmented v/s consolidated
- 5.2. Company Share Analysis, 2025
- 5.2.1. Global Company Market Share
- 5.2.2. By Region
- 5.2.2.1. North America
- 5.2.2.2. Europe
- 5.2.2.3. Asia Pacific
- 5.2.2.4. Middle East
- 5.2.2.5. Africa
- 5.2.2.6. South America
- 5.3. Product Comparison Matrix
- 5.3.1. Specifications
- 5.3.2. Market Positioning
- 5.3.3. Pricing
- 5.1. Competition structure
- 6. Global Online Food Delivery Services Market Analysis, by Platform Type
- 6.1. Key Segment Analysis
- 6.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Platform Type, 2021-2035
- 6.2.1. Mobile Applications
- 6.2.2. Web Portals
- 7. Global Online Food Delivery Services Market Analysis, by Business Model
- 7.1. Key Segment Analysis
- 7.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Business Model, 2021-2035
- 7.2.1. Order-Focused Food Delivery Platforms
- 7.2.2. Logistics-Focused Food Delivery Platforms
- 7.2.3. Full-Service Providers
- 8. Global Online Food Delivery Services Market Analysis, by Type of Delivery
- 8.1. Key Segment Analysis
- 8.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Type of Delivery, 2021-2035
- 8.2.1. Restaurant-to-Consumer Delivery
- 8.2.2. Platform-to-Consumer Delivery
- 9. Global Online Food Delivery Services Market Analysis, by Payment Method
- 9.1. Key Segment Analysis
- 9.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Payment Method, 2021-2035
- 9.2.1. Online Payment (Wallets, Cards, UPI)
- 9.2.2. Cash on Delivery (COD)
- 10. Global Online Food Delivery Services Market Analysis, by Food Type
- 10.1. Key Segment Analysis
- 10.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Food Type, 2021-2035
- 10.2.1. Fast Food
- 10.2.2. Full-Service Meals
- 10.2.3. Healthy/Organic Food
- 10.2.4. Desserts & Beverages
- 10.2.5. Others
- 11. Global Online Food Delivery Services Market Analysis, by Device Used
- 11.1. Key Segment Analysis
- 11.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Device Used, 2021-2035
- 11.2.1. Smartphones/ Tablets
- 11.2.2. Desktops/ Laptops
- 12. Global Online Food Delivery Services Market Analysis, by End User
- 12.1. Key Segment Analysis
- 12.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by End User, 2021-2035
- 12.2.1. Individual Consumers
- 12.2.2. Corporate Clients (Bulk Orders, Catering)
- 12.2.3. Others
- 13. Global Online Food Delivery Services Market Analysis and Forecasts, by Region
- 13.1. Key Findings
- 13.2. Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, by Region, 2021-2035
- 13.2.1. North America
- 13.2.2. Europe
- 13.2.3. Asia Pacific
- 13.2.4. Middle East
- 13.2.5. Africa
- 13.2.6. South America
- 14. North America Online Food Delivery Services Market Analysis
- 14.1. Key Segment Analysis
- 14.2. Regional Snapshot
- 14.3. North America Online Food Delivery Services Market Size Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 14.3.1. Platform Type
- 14.3.2. Business Model
- 14.3.3. Type of Delivery
- 14.3.4. Payment Method
- 14.3.5. Food Type
- 14.3.6. Device Used
- 14.3.7. End User
- 14.3.8. Country
- 14.3.8.1. USA
- 14.3.8.2. Canada
- 14.3.8.3. Mexico
- 14.4. USA Online Food Delivery Services Market
- 14.4.1. Country Segmental Analysis
- 14.4.2. Platform Type
- 14.4.3. Business Model
- 14.4.4. Type of Delivery
- 14.4.5. Payment Method
- 14.4.6. Food Type
- 14.4.7. Device Used
- 14.4.8. End User
- 14.5. Canada Online Food Delivery Services Market
- 14.5.1. Country Segmental Analysis
- 14.5.2. Platform Type
- 14.5.3. Business Model
- 14.5.4. Type of Delivery
- 14.5.5. Payment Method
- 14.5.6. Food Type
- 14.5.7. Device Used
- 14.5.8. End User
- 14.6. Mexico Online Food Delivery Services Market
- 14.6.1. Country Segmental Analysis
- 14.6.2. Platform Type
- 14.6.3. Business Model
- 14.6.4. Type of Delivery
- 14.6.5. Payment Method
- 14.6.6. Food Type
- 14.6.7. Device Used
- 14.6.8. End User
- 15. Europe Online Food Delivery Services Market Analysis
- 15.1. Key Segment Analysis
- 15.2. Regional Snapshot
- 15.3. Europe Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 15.3.1. Platform Type
- 15.3.2. Business Model
- 15.3.3. Type of Delivery
- 15.3.4. Payment Method
- 15.3.5. Food Type
- 15.3.6. Device Used
- 15.3.7. End User
- 15.3.8. Country
- 15.3.8.1. Germany
- 15.3.8.2. United Kingdom
- 15.3.8.3. France
- 15.3.8.4. Italy
- 15.3.8.5. Spain
- 15.3.8.6. Netherlands
- 15.3.8.7. Nordic Countries
- 15.3.8.8. Poland
- 15.3.8.9. Russia & CIS
- 15.3.8.10. Rest of Europe
- 15.4. Germany Online Food Delivery Services Market
- 15.4.1. Country Segmental Analysis
- 15.4.2. Platform Type
- 15.4.3. Business Model
- 15.4.4. Type of Delivery
- 15.4.5. Payment Method
- 15.4.6. Food Type
- 15.4.7. Device Used
- 15.4.8. End User
- 15.5. United Kingdom Online Food Delivery Services Market
- 15.5.1. Country Segmental Analysis
- 15.5.2. Platform Type
- 15.5.3. Business Model
- 15.5.4. Type of Delivery
- 15.5.5. Payment Method
- 15.5.6. Food Type
- 15.5.7. Device Used
- 15.5.8. End User
- 15.6. France Online Food Delivery Services Market
- 15.6.1. Country Segmental Analysis
- 15.6.2. Platform Type
- 15.6.3. Business Model
- 15.6.4. Type of Delivery
- 15.6.5. Payment Method
- 15.6.6. Food Type
- 15.6.7. Device Used
- 15.6.8. End User
- 15.7. Italy Online Food Delivery Services Market
- 15.7.1. Country Segmental Analysis
- 15.7.2. Platform Type
- 15.7.3. Business Model
- 15.7.4. Type of Delivery
- 15.7.5. Payment Method
- 15.7.6. Food Type
- 15.7.7. Device Used
- 15.7.8. End User
- 15.8. Spain Online Food Delivery Services Market
- 15.8.1. Country Segmental Analysis
- 15.8.2. Platform Type
- 15.8.3. Business Model
- 15.8.4. Type of Delivery
- 15.8.5. Payment Method
- 15.8.6. Food Type
- 15.8.7. Device Used
- 15.8.8. End User
- 15.9. Netherlands Online Food Delivery Services Market
- 15.9.1. Country Segmental Analysis
- 15.9.2. Platform Type
- 15.9.3. Business Model
- 15.9.4. Type of Delivery
- 15.9.5. Payment Method
- 15.9.6. Food Type
- 15.9.7. Device Used
- 15.9.8. End User
- 15.10. Nordic Countries Online Food Delivery Services Market
- 15.10.1. Country Segmental Analysis
- 15.10.2. Platform Type
- 15.10.3. Business Model
- 15.10.4. Type of Delivery
- 15.10.5. Payment Method
- 15.10.6. Food Type
- 15.10.7. Device Used
- 15.10.8. End User
- 15.11. Poland Online Food Delivery Services Market
- 15.11.1. Country Segmental Analysis
- 15.11.2. Platform Type
- 15.11.3. Business Model
- 15.11.4. Type of Delivery
- 15.11.5. Payment Method
- 15.11.6. Food Type
- 15.11.7. Device Used
- 15.11.8. End User
- 15.12. Russia & CIS Online Food Delivery Services Market
- 15.12.1. Country Segmental Analysis
- 15.12.2. Platform Type
- 15.12.3. Business Model
- 15.12.4. Type of Delivery
- 15.12.5. Payment Method
- 15.12.6. Food Type
- 15.12.7. Device Used
- 15.12.8. End User
- 15.13. Rest of Europe Online Food Delivery Services Market
- 15.13.1. Country Segmental Analysis
- 15.13.2. Platform Type
- 15.13.3. Business Model
- 15.13.4. Type of Delivery
- 15.13.5. Payment Method
- 15.13.6. Food Type
- 15.13.7. Device Used
- 15.13.8. End User
- 16. Asia Pacific Online Food Delivery Services Market Analysis
- 16.1. Key Segment Analysis
- 16.2. Regional Snapshot
- 16.3. East Asia Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 16.3.1. Platform Type
- 16.3.2. Business Model
- 16.3.3. Type of Delivery
- 16.3.4. Payment Method
- 16.3.5. Food Type
- 16.3.6. Device Used
- 16.3.7. End User
- 16.3.8. Country
- 16.3.8.1. China
- 16.3.8.2. India
- 16.3.8.3. Japan
- 16.3.8.4. South Korea
- 16.3.8.5. Australia and New Zealand
- 16.3.8.6. Indonesia
- 16.3.8.7. Malaysia
- 16.3.8.8. Thailand
- 16.3.8.9. Vietnam
- 16.3.8.10. Rest of Asia Pacific
- 16.4. China Online Food Delivery Services Market
- 16.4.1. Country Segmental Analysis
- 16.4.2. Platform Type
- 16.4.3. Business Model
- 16.4.4. Type of Delivery
- 16.4.5. Payment Method
- 16.4.6. Food Type
- 16.4.7. Device Used
- 16.4.8. End User
- 16.5. India Online Food Delivery Services Market
- 16.5.1. Country Segmental Analysis
- 16.5.2. Platform Type
- 16.5.3. Business Model
- 16.5.4. Type of Delivery
- 16.5.5. Payment Method
- 16.5.6. Food Type
- 16.5.7. Device Used
- 16.5.8. End User
- 16.6. Japan Online Food Delivery Services Market
- 16.6.1. Country Segmental Analysis
- 16.6.2. Platform Type
- 16.6.3. Business Model
- 16.6.4. Type of Delivery
- 16.6.5. Payment Method
- 16.6.6. Food Type
- 16.6.7. Device Used
- 16.6.8. End User
- 16.7. South Korea Online Food Delivery Services Market
- 16.7.1. Country Segmental Analysis
- 16.7.2. Platform Type
- 16.7.3. Business Model
- 16.7.4. Type of Delivery
- 16.7.5. Payment Method
- 16.7.6. Food Type
- 16.7.7. Device Used
- 16.7.8. End User
- 16.8. Australia and New Zealand Online Food Delivery Services Market
- 16.8.1. Country Segmental Analysis
- 16.8.2. Platform Type
- 16.8.3. Business Model
- 16.8.4. Type of Delivery
- 16.8.5. Payment Method
- 16.8.6. Food Type
- 16.8.7. Device Used
- 16.8.8. End User
- 16.9. Indonesia Online Food Delivery Services Market
- 16.9.1. Country Segmental Analysis
- 16.9.2. Platform Type
- 16.9.3. Business Model
- 16.9.4. Type of Delivery
- 16.9.5. Payment Method
- 16.9.6. Food Type
- 16.9.7. Device Used
- 16.9.8. End User
- 16.10. Malaysia Online Food Delivery Services Market
- 16.10.1. Country Segmental Analysis
- 16.10.2. Platform Type
- 16.10.3. Business Model
- 16.10.4. Type of Delivery
- 16.10.5. Payment Method
- 16.10.6. Food Type
- 16.10.7. Device Used
- 16.10.8. End User
- 16.11. Thailand Online Food Delivery Services Market
- 16.11.1. Country Segmental Analysis
- 16.11.2. Platform Type
- 16.11.3. Business Model
- 16.11.4. Type of Delivery
- 16.11.5. Payment Method
- 16.11.6. Food Type
- 16.11.7. Device Used
- 16.11.8. End User
- 16.12. Vietnam Online Food Delivery Services Market
- 16.12.1. Country Segmental Analysis
- 16.12.2. Platform Type
- 16.12.3. Business Model
- 16.12.4. Type of Delivery
- 16.12.5. Payment Method
- 16.12.6. Food Type
- 16.12.7. Device Used
- 16.12.8. End User
- 16.13. Rest of Asia Pacific Online Food Delivery Services Market
- 16.13.1. Country Segmental Analysis
- 16.13.2. Platform Type
- 16.13.3. Business Model
- 16.13.4. Type of Delivery
- 16.13.5. Payment Method
- 16.13.6. Food Type
- 16.13.7. Device Used
- 16.13.8. End User
- 17. Middle East Online Food Delivery Services Market Analysis
- 17.1. Key Segment Analysis
- 17.2. Regional Snapshot
- 17.3. Middle East Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 17.3.1. Platform Type
- 17.3.2. Business Model
- 17.3.3. Type of Delivery
- 17.3.4. Payment Method
- 17.3.5. Food Type
- 17.3.6. Device Used
- 17.3.7. End User
- 17.3.8. Country
- 17.3.8.1. Turkey
- 17.3.8.2. UAE
- 17.3.8.3. Saudi Arabia
- 17.3.8.4. Israel
- 17.3.8.5. Rest of Middle East
- 17.4. Turkey Online Food Delivery Services Market
- 17.4.1. Country Segmental Analysis
- 17.4.2. Platform Type
- 17.4.3. Business Model
- 17.4.4. Type of Delivery
- 17.4.5. Payment Method
- 17.4.6. Food Type
- 17.4.7. Device Used
- 17.4.8. End User
- 17.5. UAE Online Food Delivery Services Market
- 17.5.1. Country Segmental Analysis
- 17.5.2. Platform Type
- 17.5.3. Business Model
- 17.5.4. Type of Delivery
- 17.5.5. Payment Method
- 17.5.6. Food Type
- 17.5.7. Device Used
- 17.5.8. End User
- 17.6. Saudi Arabia Online Food Delivery Services Market
- 17.6.1. Country Segmental Analysis
- 17.6.2. Platform Type
- 17.6.3. Business Model
- 17.6.4. Type of Delivery
- 17.6.5. Payment Method
- 17.6.6. Food Type
- 17.6.7. Device Used
- 17.6.8. End User
- 17.7. Israel Online Food Delivery Services Market
- 17.7.1. Country Segmental Analysis
- 17.7.2. Platform Type
- 17.7.3. Business Model
- 17.7.4. Type of Delivery
- 17.7.5. Payment Method
- 17.7.6. Food Type
- 17.7.7. Device Used
- 17.7.8. End User
- 17.8. Rest of Middle East Online Food Delivery Services Market
- 17.8.1. Country Segmental Analysis
- 17.8.2. Platform Type
- 17.8.3. Business Model
- 17.8.4. Type of Delivery
- 17.8.5. Payment Method
- 17.8.6. Food Type
- 17.8.7. Device Used
- 17.8.8. End User
- 18. Africa Online Food Delivery Services Market Analysis
- 18.1. Key Segment Analysis
- 18.2. Regional Snapshot
- 18.3. Africa Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 18.3.1. Platform Type
- 18.3.2. Business Model
- 18.3.3. Type of Delivery
- 18.3.4. Payment Method
- 18.3.5. Food Type
- 18.3.6. Device Used
- 18.3.7. End User
- 18.3.8. Country
- 18.3.8.1. South Africa
- 18.3.8.2. Egypt
- 18.3.8.3. Nigeria
- 18.3.8.4. Algeria
- 18.3.8.5. Rest of Africa
- 18.4. South Africa Online Food Delivery Services Market
- 18.4.1. Country Segmental Analysis
- 18.4.2. Platform Type
- 18.4.3. Business Model
- 18.4.4. Type of Delivery
- 18.4.5. Payment Method
- 18.4.6. Food Type
- 18.4.7. Device Used
- 18.4.8. End User
- 18.5. Egypt Online Food Delivery Services Market
- 18.5.1. Country Segmental Analysis
- 18.5.2. Platform Type
- 18.5.3. Business Model
- 18.5.4. Type of Delivery
- 18.5.5. Payment Method
- 18.5.6. Food Type
- 18.5.7. Device Used
- 18.5.8. End User
- 18.6. Nigeria Online Food Delivery Services Market
- 18.6.1. Country Segmental Analysis
- 18.6.2. Platform Type
- 18.6.3. Business Model
- 18.6.4. Type of Delivery
- 18.6.5. Payment Method
- 18.6.6. Food Type
- 18.6.7. Device Used
- 18.6.8. End User
- 18.7. Algeria Online Food Delivery Services Market
- 18.7.1. Country Segmental Analysis
- 18.7.2. Platform Type
- 18.7.3. Business Model
- 18.7.4. Type of Delivery
- 18.7.5. Payment Method
- 18.7.6. Food Type
- 18.7.7. Device Used
- 18.7.8. End User
- 18.8. Rest of Africa Online Food Delivery Services Market
- 18.8.1. Country Segmental Analysis
- 18.8.2. Platform Type
- 18.8.3. Business Model
- 18.8.4. Type of Delivery
- 18.8.5. Payment Method
- 18.8.6. Food Type
- 18.8.7. Device Used
- 18.8.8. End User
- 19. South America Online Food Delivery Services Market Analysis
- 19.1. Key Segment Analysis
- 19.2. Regional Snapshot
- 19.3. Central and South Africa Online Food Delivery Services Market Size (Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 19.3.1. Platform Type
- 19.3.2. Business Model
- 19.3.3. Type of Delivery
- 19.3.4. Payment Method
- 19.3.5. Food Type
- 19.3.6. Device Used
- 19.3.7. End User
- 19.3.8. Country
- 19.3.8.1. Brazil
- 19.3.8.2. Argentina
- 19.3.8.3. Rest of South America
- 19.4. Brazil Online Food Delivery Services Market
- 19.4.1. Country Segmental Analysis
- 19.4.2. Platform Type
- 19.4.3. Business Model
- 19.4.4. Type of Delivery
- 19.4.5. Payment Method
- 19.4.6. Food Type
- 19.4.7. Device Used
- 19.4.8. End User
- 19.5. Argentina Online Food Delivery Services Market
- 19.5.1. Country Segmental Analysis
- 19.5.2. Platform Type
- 19.5.3. Business Model
- 19.5.4. Type of Delivery
- 19.5.5. Payment Method
- 19.5.6. Food Type
- 19.5.7. Device Used
- 19.5.8. End User
- 19.6. Rest of South America Online Food Delivery Services Market
- 19.6.1. Country Segmental Analysis
- 19.6.2. Platform Type
- 19.6.3. Business Model
- 19.6.4. Type of Delivery
- 19.6.5. Payment Method
- 19.6.6. Food Type
- 19.6.7. Device Used
- 19.6.8. End User
- 20. Key Players/ Company Profile
- 20.1. Caviar
- 20.1.1. Company Details/ Overview
- 20.1.2. Company Financials
- 20.1.3. Key Customers and Competitors
- 20.1.4. Business/ Industry Portfolio
- 20.1.5. Product Portfolio/ Specification Details
- 20.1.6. Pricing Data
- 20.1.7. Strategic Overview
- 20.1.8. Recent Developments
- 20.2. ChowNow
- 20.3. Deliveroo
- 20.4. Delivery Hero
- 20.5. Domino’s Pizza
- 20.6. DoorDash
- 20.7. Ele.me (Alibaba Group)
- 20.8. Foodpanda
- 20.9. Glovo
- 20.10. Grubhub
- 20.11. Just Eat Takeaway.com
- 20.12. Meituan Dianping
- 20.13. Menulog
- 20.14. Papa John’s International
- 20.15. Postmates
- 20.16. Slice
- 20.17. Swiggy
- 20.18. Talabat
- 20.19. Uber Eats
- 20.20. Zomato
- 20.21. Other Key Players
- 20.1. Caviar
Note* - This is just tentative list of players. While providing the report, we will cover a greater number of players based on their revenue and share for each geography
Our research design integrates both demand-side and supply-side analysis through a balanced combination of primary and secondary research methodologies. By utilizing both bottom-up and top-down approaches alongside rigorous data triangulation methods, we deliver robust market intelligence that supports strategic decision-making.
MarketGenics' comprehensive research design framework ensures the delivery of accurate, reliable, and actionable market intelligence. Through the integration of multiple research approaches, rigorous validation processes, and expert analysis, we provide our clients with the insights needed to make informed strategic decisions and capitalize on market opportunities.
MarketGenics leverages a dedicated industry panel of experts and a comprehensive suite of paid databases to effectively collect, consolidate, and analyze market intelligence.
Our approach has consistently proven to be reliable and effective in generating accurate market insights, identifying key industry trends, and uncovering emerging business opportunities.
Through both primary and secondary research, we capture and analyze critical company-level data such as manufacturing footprints, including technical centers, R&D facilities, sales offices, and headquarters.
Our expert panel further enhances our ability to estimate market size for specific brands based on validated field-level intelligence.
Our data mining techniques incorporate both parametric and non-parametric methods, allowing for structured data collection, sorting, processing, and cleaning.
Demand projections are derived from large-scale data sets analyzed through proprietary algorithms, culminating in robust and reliable market sizing.
The bottom-up approach builds market estimates by starting with the smallest addressable market units and systematically aggregating them to create comprehensive market size projections.
This method begins with specific, granular data points and builds upward to create the complete market landscape.
Customer Analysis → Segmental Analysis → Geographical Analysis
The top-down approach starts with the broadest possible market data and systematically narrows it down through a series of filters and assumptions to arrive at specific market segments or opportunities.
This method begins with the big picture and works downward to increasingly specific market slices.
TAM → SAM → SOM
While analysing the market, we extensively study secondary sources, directories, and databases to identify and collect information useful for this technical, market-oriented, and commercial report. Secondary sources that we utilize are not only the public sources, but it is combination of Open Source, Associations, Paid Databases, MG Repository & Knowledgebase and Others.
- Company websites, annual reports, financial reports, broker reports, and investor presentations
- National government documents, statistical databases and reports
- News articles, press releases and web-casts specific to the companies operating in the market, Magazines, reports, and others
- We gather information from commercial data sources for deriving company specific data such as segmental revenue, share for geography, product revenue, and others
- Internal and external proprietary databases (industry-specific), relevant patent, and regulatory databases
- Governing Bodies, Government Organizations
- Relevant Authorities, Country-specific Associations for Industries
We also employ the model mapping approach to estimate the product level market data through the players product portfolio
Primary research/ interviews is vital in analyzing the market. Most of the cases involves paid primary interviews. Primary sources includes primary interviews through e-mail interactions, telephonic interviews, surveys as well as face-to-face interviews with the different stakeholders across the value chain including several industry experts.
| Type of Respondents | Number of Primaries |
|---|---|
| Tier 2/3 Suppliers | ~20 |
| Tier 1 Suppliers | ~25 |
| End-users | ~25 |
| Industry Expert/ Panel/ Consultant | ~30 |
| Total | ~100 |
MG Knowledgebase
• Repository of industry blog, newsletter and case studies
• Online platform covering detailed market reports, and company profiles
- Historical Trends – Past market patterns, cycles, and major events that shaped how markets behave over time. Understanding past trends helps predict future behavior.
- Industry Factors – Specific characteristics of the industry like structure, regulations, and innovation cycles that affect market dynamics.
- Macroeconomic Factors – Economic conditions like GDP growth, inflation, and employment rates that affect how much money people have to spend.
- Demographic Factors – Population characteristics like age, income, and location that determine who can buy your product.
- Technology Factors – How quickly people adopt new technology and how much technology infrastructure exists.
- Regulatory Factors – Government rules, laws, and policies that can help or restrict market growth.
- Competitive Factors – Analyzing competition structure such as degree of competition and bargaining power of buyers and suppliers.
Multiple Regression Analysis
- Identify and quantify factors that drive market changes
- Statistical modeling to establish relationships between market drivers and outcomes
Time Series Analysis – Seasonal Patterns
- Understand regular cyclical patterns in market demand
- Advanced statistical techniques to separate trend, seasonal, and irregular components
Time Series Analysis – Trend Analysis
- Identify underlying market growth patterns and momentum
- Statistical analysis of historical data to project future trends
Expert Opinion – Expert Interviews
- Gather deep industry insights and contextual understanding
- In-depth interviews with key industry stakeholders
Multi-Scenario Development
- Prepare for uncertainty by modeling different possible futures
- Creating optimistic, pessimistic, and most likely scenarios
Time Series Analysis – Moving Averages
- Sophisticated forecasting for complex time series data
- Auto-regressive integrated moving average models with seasonal components
Econometric Models
- Apply economic theory to market forecasting
- Sophisticated economic models that account for market interactions
Expert Opinion – Delphi Method
- Harness collective wisdom of industry experts
- Structured, multi-round expert consultation process
Monte Carlo Simulation
- Quantify uncertainty and probability distributions
- Thousands of simulations with varying input parameters
Our research framework is built upon the fundamental principle of validating market intelligence from both demand and supply perspectives. This dual-sided approach ensures comprehensive market understanding and reduces the risk of single-source bias.
Demand-Side Analysis: We understand end-user/application behavior, preferences, and market needs along with the penetration of the product for specific application.
Supply-Side Analysis: We estimate overall market revenue, analyze the segmental share along with industry capacity, competitive landscape, and market structure.
Data triangulation is a validation technique that uses multiple methods, sources, or perspectives to examine the same research question, thereby increasing the credibility and reliability of research findings. In market research, triangulation serves as a quality assurance mechanism that helps identify and minimize bias, validate assumptions, and ensure accuracy in market estimates.
- Data Source Triangulation – Using multiple data sources to examine the same phenomenon
- Methodological Triangulation – Using multiple research methods to study the same research question
- Investigator Triangulation – Using multiple researchers or analysts to examine the same data
- Theoretical Triangulation – Using multiple theoretical perspectives to interpret the same data
