Online Food Delivery Services Market Size, Share, Growth Opportunity Analysis Report by Type of Delivery (Restaurant-to-Consumer Delivery and Platform-to-Consumer Delivery), Platform Type, Business Model, Payment Method, Food Type, Device Used, End User and Geography (North America, Europe, Asia Pacific, Middle East, Africa, and South America) – Global Industry Data, Trends, and Forecasts, 2025–2035
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Segmental Data Insights |
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Demand Trends |
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Competitive Landscape |
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Strategic Development |
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Future Outlook & Opportunities |
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Online Food Delivery Services Market Size, Share, and Growth
The growth of global online food delivery services market is likely to create a significant opportunity of USD 276.0 Billion during the forecasting period, 2025-2035. Some of the primary factors propelling the global online food delivery services market include increasing consumer preference for convenience and ever-faster adoption of digital technologies. For example, DoorDash in 2024 set about improving its membership program "DashPass" through AI-powered personalized recommendation systems to improve customer retention and order frequency.
In March 2025, Just Eat Takeaway.com launched a new "Sustainable Delivery Program" across major European cities, aiming to shift 50% of its deliveries to e-bikes and electric scooters by 2026. The strategy is part of its broader ESG roadmap to reduce carbon emissions and enhance brand reputation. According to Jitse Groen, CEO of Just Eat Takeaway.com, this move supports both environmental goals and operational efficiency through reduced fuel costs and access to green incentives in urban zones. This sustainability-focused strategy positions the company as an eco-conscious leader, attracting environmentally aware consumers and improving regulatory alignment.
Moreover, in India, Zomato launched Zomato Instant-a 10-minute delivery concept through hyperlocal dark kitchens-to cater to the ever-growing demand for ultra-fast-food delivery. These developments are majorly contributing to deeper market creation and customer stickiness and thus act as catalyst in making money for the entire online food delivery ecosystem.
Key market openings to the global online food delivery services market include the expansion of cloud kitchen space, last-mile delivery logistics optimization, and integration with grocery and daily essential deliveries. These segments utilize current infrastructure and clientele base and hence provide cross-selling opportunities and operational synergies. These adjacent opportunities are causing expanded revenue streams and consolidating the service ecosystem of the online food delivery providers.
Online Food Delivery Services Market Dynamics and Trends
Driver: Rising Demand for Subscription-Based Food Delivery Models
- Increasing demand for subscription-based delivery is a major factor driving the fast growth of the global online food delivery services market. It offers savings, convenience, and exclusive benefits, which appeal to heavy users, especially those living in metros. Subscriptions create loyalty and higher customer lifetime value, thus reducing churn and increasing the volume of orders over time. On the backdrop of inflationary pressures that force consumers to be value-conscious, a fixed monthly fee combining perks like free deliveries or discounted deliveries makes the service all the more attractive. The model also assists the firms in demand forecasting and logistics optimization.
- For example, in March 2025, Uber Eats enhanced Eats Pass in multiple countries and merged it into Uber One, its combined mobility and food subscription. The subscription offers priority service, discounted delivery fees, and exclusive offers-all combining to create an ecosystem geared towards repeat ordering. This now allows Uber to cross-utilize user data among its services and reduce operating costs relative to loyalty.
- Subscription models last through retention and improve margins, which provides online food delivery players with predictability in revenues.
Restraint: Regulatory Challenges Related to Gig Worker Rights
- Rising global inquiry into gig classification, benefits, and wage protections constitutes one of the largest restraints on the online food delivery market. Delivery platforms are hugely dependent on independent contractors, whereas regulators want to change their status from contractors to actual employees-a status that carries with it a lot of cost, including social security, healthcare, and minimum wages. Such changes will likely increase operational costs and lower the profit margin of these platforms. Additionally, these stricter employment laws will also impede flexibility around delivery fleet management-the key efficiency model for the sector.
- In April 2025, Deliveroo found itself facing renewed legal pressure in the UK after a London employment tribunal ruled that workers were entitled to collective bargaining rights, leaning toward worker recognition as opposed to freelancer designation. This decision came only months after regulatory changes in Spain and California. With the regulatory net tightening, companies will now have to reconsider their business models and labor cost structures to remain compliant and competitive.
- Labor regulations are pushing up operational costs and thereby challenging scaling of gig-driven delivery models worldwide.
Opportunity: Expansion into Non-Restaurant Segments like Pet Food and OTC Drugs
- Food delivery platforms used to be limited to meal delivery, but nowadays they are into pet food, OTC drugs, and wellness. Carrying these categories is extremely lucrative, given the delivery infrastructure that is in place, along with a growing consumer trust and demand for very high convenience. Broader product portfolios allow companies to increase app usage frequency and diversify revenue streams with only a minor increase in operating cost. This diversification also acts as a hedge against restaurant purchases that go in and out of favor due to their pricing or seasonality.
- In 2025, DoorDash entered into partnerships with PetSmart and Walgreens for pet supplies and OTC medications delivery across North America within an hour. This strategic expansion builds atop last-mile networks that already exist to give the DoorDash brand utility beyond food. DoorDash updates a 30% YoY growth in non-restaurant order volume in Q1 2025, signifying extraordinary consumer acceptability.
- The diversification into non-food categories is, therefore, allowing for expanded addressable markets and intensifying frequency of order per user.
Key Trend: Integration of AI for Personalized Food Recommendations
- An increasing trend has seen the global online food delivery market leverage Artificial Intelligence (AI) to maximize the provision of hyper-personalized user experiences. AI is increasingly being used by platforms to analyze user preferences, past behavior, time, and location to push food options specific to customers, which increases customer gratification and upsells. This personalization improves app engagement and increases average order value (AOV). Apart from that, pricing could be dynamic, estimations on delivery time could be generated, and efficient routing from the location of the fleet could be carried out: all aimed at customer experience enhancement and backend operation optimization.
- In India, Swiggy came up with an AI-powered recommendation engine in February 2025 called "Swiggy Sense" that analyzes eating patterns and real-time data to suggest meals. The engine has enhanced repeat order rates by 18% within two months after launch. The system also accounts for dietary preferences and regional food trends, making it more locally relevant and more effective at ensuring customer retention.
- This AI integration is leading to enhanced customer engagement, increased basket size, and smarter logistics, thus ensuring the platforms' efficiency and profitability.
Online Food Delivery Services Market Analysis and Segmental Data
Based on Type of Delivery, the Platform-to-Consumer Delivery Segment Retains the Largest Share
- Platform-to-consumer delivery holds the largest share of the global online food delivery industry ~83% because of having an entire ecosystem supporting order placement and delivery logistics. A consumer prefers the convenience of real-time tracking, various payment options, and multiple restaurant choices on the same interface. This model benefits from faster deliveries, quality assurance, and a more seamless user experience than a restaurant-only platform. The increased workforce in cities and digital adoption in emerging economies only further consolidate the hold of this model.
- In May 2025, therefore, GrabFood moved its platform-to-consumer delivery model outside Thailand for Southeast Asia and further on implemented AI-based dispatch systems that could reduce delivery time by 20% and increase customer satisfaction.
- Being end-to-end, in its own being platform-to-consumer delivery, grants the monopolistic position considering the traits of convenience, speed, and loyalty.
North America Dominates Global Online Food Delivery Services Market in 2025 and Beyond
- In North America, the demand for multi-vendor food delivery is highest due to the high penetration of smartphones, internet availability, and an increased culture of e-commerce. Millennials and Gen Z have started to value high priority on convenience and saving time. Urbanization and dual-income families have further strengthened the preference for on-demand meals. Also, platform loyalty programs and app-based customization options have increasingly contributed to creating repeat instances across major cities in the U.S. and Canada.
- In April 2025, Instacart launched “Meals by Instacart” in 15 U.S. metro areas in tandem with restaurant chains to bring ready-to-eat meals and groceries to consumers, thus, providing them with a smooth hybrid experience.
- Tech-savvy lifestyles and hybrid service models continue to keep online food delivery in a monopolizing position in North America.
Online Food Delivery Services Market
Key players in the global online food delivery services market include prominent companies such as DoorDash, Uber Eats, Grubhub, Deliveroo, Just Eat Takeaway and Other Key Players.
The online food delivery services market is moderately to highly consolidated, with Tier 1 players such as Uber Eats, DoorDash, Meituan Dianping, and Zomato dominating through extensive restaurant networks, logistics infrastructure, and digital engagement. Tier 2 and 3 players like ChowNow and Slice cater to localized or independent restaurants. Buyer concentration is low due to a broad consumer base, while supplier concentration is moderate, shaped by restaurant partnerships and driver availability in high-demand urban markets.
Recent Development and Strategic Overview:
- In April 2025, DoorDash proposed a $3.6 billion acquisition of Deliveroo, aiming to significantly expand its international reach across Europe and the Middle East complementing its Wolt purchase from 2022.
- In April 2025, Papa John’s deepened its AI integration by partnering with Google Cloud to personalize customer interactions, deploy chatbots, and optimize delivery routing and inventory management.
Report Scope
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Detail |
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Market Size in 2025 |
USD 264.6 Bn |
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Market Forecast Value in 2035 |
USD 540.6 Bn |
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Growth Rate (CAGR) |
6.7% |
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Forecast Period |
2025 – 2035 |
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Historical Data Available for |
2021 – 2024 |
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Market Size Units |
US$ Billion for Value |
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Report Format |
Electronic (PDF) + Excel |
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North America |
Europe |
Asia Pacific |
Middle East |
Africa |
South America |
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Companies Covered |
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Online Food Delivery Services Market Segmentation and Highlights
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Segment |
Sub-segment |
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By Platform Type |
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By Business Model |
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By Type of Delivery |
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By Payment Method |
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By Food Type |
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By Device Used |
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By End User |
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Frequently Asked Questions
The global online food delivery services market was valued at 264.6 Bn in 2025.
The global online food delivery services market industry is expected to grow at a CAGR of 6.7% from 2025 to 2035.
Key factors driving the demand for the online food delivery services market include rising urbanization, increasing smartphone and internet penetration, busy lifestyles favoring convenience, and the growing preference for on-demand, contactless services. Moreover, innovations in AI-based personalization, real-time tracking, and flexible payment options are enhancing user experience and boosting repeat usage across both developed and emerging markets.
Platform-to-consumer delivery contributed to the largest share of the online food delivery services market business in 2025, due to comprehensive ecosystem managing both order placement and delivery logistics.
The India is among the fastest-growing countries globally.
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.
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
