The online food delivery services market size is likely to expand at a valuation of US$ 41.94 billion in 2023. Based on the online on-demand food delivery services market report, the adoption traces a CAGR of 10% through 2033. At this rate, demand for online food delivery services is expected to register a valuation of US$ 101.32 billion by 2033.
Spending Analysis in the Online Food Delivery Services
Attributes | Details |
---|---|
Online Food Delivery Services Market Value for 2023 | US$ 41.94 billion |
Online Food Delivery Services Market Value for 2033 | US$ 101.32 billion |
Online Food Delivery Services Market CAGR from 2023 to 2033 | 10% |
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A drop in the online food orders and delivery services market CAGR during the forecast period compared to the historical period signifies gaps to bridge. However, this drop does not necessarily indicate a reduction in the popularity of on-demand food delivery among consumers. The historical period included the lockdown circumstances, which made online food ordering systems the go-to option.
Historical CAGR | 10.7% |
---|---|
Forecast CAGR | 10% |
Looking at the popularity of online food delivery services market research, it is only fair to say that the long-term stakes for online food delivery service manufacturers are high, but so are the opportunities.
The popularity of Chinese takeout and Pizza delivery services grew significantly as these were the default ordering options for consumers. During the historical period, fast food joints took a dominant stance in the online fast food delivery services market.
Given the impact of COVID-19, food delivery services have become easily accessible and diversified. The fast-growing food-delivery ecosystem caught up with the pulse of consumers and started working on retention strategies. The historical period became a game-changer as consumers responded positively to food delivery discounts and promo codes.
The global online food delivery market size grew to a valuation of US$ 38 billion in 2022.
Despite significant opportunities for online food delivery service manufacturers, there is a tussle to make a profit. Integration of new technologies-online food delivery services through voice commands-demands high investment. In addition, last-mile delivery operations take a heavy toll on an economic level, further narrowing down bars for new entrants in the online food delivery services market.
It won't be an exaggeration if this period is tagged as 'technological.' Delivery platforms resort to autonomous robots and drone delivery for large-scale profit generation to untangle their operational mesh. The future of online food delivery indicates further reliance on technology. The profit margin could become a skipping rope as service providers balance their strategies to innovate and catch up with existing competition.
The market size of online food delivery is estimated to grow from US$ 41.94 billion in 2023 to US$ 62.91 billion by 2028.
The online on-demand food delivery services market players may don premiumization to stabilize their overheads. When consumers become creatures of habit to use food delivery apps and doorstep food delivery, they may be easy to attract for premium offerings. Price optimization strategy may also include efficiency in the last-mile delivery operations, which may further contain operational costs.
The future of online food delivery services, however, is wider than cost-effective operations. New operating models are likely to surface. Niche markets, including online grocery and alcohol delivery services, could catch up with the momentum and be instrumental revenue streams for market players.
With these dynamics, the online food delivery services market growth is estimated to reach US$ 101.32 billion by 2033.
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Ghost Kitchens and Virtual Brands Innovate the Future of Food
The culinary scene has undergone a transformational upheaval with the introduction of ghost kitchens and virtual brands in recent years. These unique concepts are quickly gaining traction, altering how we think about dining places. Ghost kitchens, also known as cloud kitchens or virtual kitchens, have arisen as dedicated fulfillment centers for Internet food orders.
Unlike typical restaurants, these industrial kitchens are completely dedicated to producing and delivering meals to consumers who place orders via online delivery platforms. Ghost kitchens are notable for their capacity to house many restaurant brands under one roof, allowing entrepreneurs to experiment with varied culinary concepts without the limits of physical eating venues.
This tendency is complemented by virtual brands, which operate solely on delivery platforms. These brands use ghost kitchen infrastructure to reach a bigger audience with their distinctive culinary offerings. This symbiotic link between ghost kitchens and virtual businesses has democratized the food sector, allowing established eateries as well as budding cooks to expand their reach and cater to the growing demand for online food delivery.
Ghost kitchens and virtual brands are a disruptive force in the food sector, providing consumers with convenience, variety, and efficiency while creating new chances for restaurateurs to succeed in the digital era. This movement has the potential to affect the future of dining by highlighting the importance of virtual presence and culinary innovation above traditional brick-and-mortar restaurants.
Bridging the Gap in Driver Compensation and Benefits
Delivery systems rely on the gig economy, with an on-demand driver system that provides critical flexibility. This model is constantly evolving as a worldwide and national debate over the designation of gig workers, notably drivers, as employees unfold. Changes in how independent contractors are compensated and the benefits they are entitled to have a substantial impact on the economic dynamics of all key online food delivery manufacturers.
Competing systems persistently vie for customers, restaurants, and drivers within each online food delivery services market, with the possibility of further consolidation down the road. This rivalry may extend beyond just food establishments as these platforms broaden their service offerings.
In parallel with this competitive landscape, niche delivery applications catering to specific customer segments or culinary preferences have made successful inroads into the market in recent times.
Data-infused Personalization Elevate Food Delivery Services
By using the power of data analytics, online meal delivery services have undergone a dramatic shift in the digital age. These platforms have progressed from merely transactional interfaces to purveyors of individualized gastronomic experiences. They gain insights into individual preferences by painstakingly collecting and evaluating user data, allowing them to build menus, discounts, and promotions personalized to each customer.
The deployment of AI and machine learning algorithms is at the heart of this shift. These systems not only process massive volumes of data but also recognize patterns, accurately forecasting customer preferences. Thus, Customers are given options that correspond to their preferences, dietary restrictions, and ordering habits. This results in a more fun and efficient ordering experience.
Personalization is only the beginning of data analytics integration. It also improves operational efficiency, from inventory management to delivery routes, lowering costs and positively influencing the environment. These data-driven innovations increase client loyalty because customers value the convenience and satisfaction of a platform that understands and anticipates their culinary wants. Personalization via data analytics has become vital for success in the quickly expanding field of online meal delivery, benefiting both customers and businesses alike.
The online food delivery services market can be categorized by delivery type, channel type, and payment method. In delivery types, the ‘platform-to-consumer’ models lead the market. By the distribution channel types, the mobile application platforms hold a substantial share in the market. In the payment methods, the online payments category takes the lead.
These various categorizations provide a comprehensive outlook on the diverse strategies and approaches employed by online food delivery service providers to cater to consumer preferences and market dynamics.
The platform-to-consumer category is projected to dominate the online food delivery & takeaway market and maintain its dominance during the projected period. By 2023, the platform-to-consumer category is expected to account for 60% of the global market.
Attributes | Details |
---|---|
Platform-to-Consumer Segment Share | 60% |
Platform-to-Consumer Segment CAGR | 9.8% |
The platform-to-consumer category is projected to dominate the online food delivery & takeaway market and maintain its dominance during the projected period. By 2023, the platform-to-consumer category is expected to account for 60% of the global market.
The online meal delivery service market is expanding and is expected to continue in the next years. Sales may be boosted by increased investment in food delivery applications, as well as mergers and acquisitions between leading corporations and new entrants.
The platform-to-consumer method manages the logistical and resource components of food delivery while also providing shipment services to restaurants without delivery capabilities. The expansion of the capital city sector is driven by a rise in investments. Platform-to-consumer distribution is expected to record a CAGR of 9.8% over the forecast period.
The mobile apps category is estimated to account for 38% of the global market share in 2023. The segment's growth could be attributed to increased smartphone adoption and technological advancements like 3G and 4G networks.
Attributes | Details |
---|---|
Mobile Apps Segment Share | 38% |
Mobile Apps Segment CAGR | 9.7% |
Mobile apps have invaded the industry as a result of digital transformation and cheaper mobile device costs, pushing sales in the food delivery service platforms sector. This is likely to have a direct impact on the online food delivery services market.
Many eateries provide various discounts to consumers who order food through mobile applications. Based on order type, the mobile application sector is expected to record a CAGR of 9.7% over the projected period.
Depending on the country, several patterns can be seen in the online food delivery services market. It's still quite competitive in the United States, where well-known firms like UberEats, DoorDash, and GrubHub control the market. Swiggy and Zomato continue aggressively developing in India, taking advantage of the expanding urban population.
Prominent firms like Meituan-Dianping and Ele.me have footprints in China's market, where there is intense rivalry and rapid technology innovation. Platforms like Deliveroo and Just Eat are widely used in Europe. Rappi and iFood help Latin America grow.
A favorable trajectory is suggested by elements like the post-pandemic move toward online ordering and the possibilities for collaborations with restaurants and grocery shops.
Attributes | Details |
---|---|
Market Share | 23.5% |
To maintain development, businesses in this sector may need to innovate, concentrate on the customer experience, and adjust to shifting market conditions. The online on-demand food delivery services market in the United States has a bright future.
Due to shifting consumer preferences, growing digitalization, and the convenience that platforms like UberEats, DoorDash, and Grubhub provide, this business has seen substantial expansion in recent years. Despite the intense competition, there is still the possibility for growth as the market develops further.
The online food delivery services market is still expanding quickly in China. In response to the epidemic, people sought out contactless dining options, which pushed the growth of online meal delivery in the country.
Attributes | Details |
---|---|
Market CAGR | 12.5% |
This growth is being fueled by a multitude of factors, including intensive marketing campaigns by platforms like Meituan and Ele.me, the convenience of ordering food through smartphone apps, and a vast selection of cuisines.
To broaden their services, these platforms also provide cutting-edge elements like group ordering and supermarket delivery. Delivery reliability and speed have been increased through collaborations with restaurants and upgraded logistics systems. China's internet meal delivery sector is still growing and competitive, with plenty of space for expansion.
The future seems bright for the Indian market for online meal delivery services. The sector is anticipated to keep growing due to a sizable and increasing population, rising urbanization, and shifting consumer tastes.
Attributes | Details |
---|---|
Market CAGR | 3.1% |
By introducing new technologies and delivery capabilities, key players like Zomato and Swiggy are likely to increase competitiveness. A concentration on tier 2 and 3 cities, menu diversification, and partnerships with restaurants are all necessary for long-term success.
There may still be difficulties, including regulatory vigilance, operational effectiveness issues, and profitability worries. Convenience-seeking consumers and India's food industry's digital transformation are the two main factors driving the market's potential growth.
The continued consumer demand for convenience and the expansion of digital platforms are projected to support the online meal delivery services market in Germany.
Attributes | Details |
---|---|
Market Share | 8.5% |
Urbanization, hectic lives, and a penchant for various cuisines are factors that are anticipated to support the industry's expansion. Consolidation of the market and increased rivalry among prominent companies may spur technological and logistical advancements.
Regulatory difficulties, nevertheless, as well as issues with sustainability and labor policies, may also have an impact on the market's future. Overall, despite some potential obstacles along the way, the online food delivery services market in Germany is primed for continuing growth.
Due to shifting customer preferences, urbanization, and technological improvements, the online on-demand food delivery services industry is projected to maintain its growth trajectory in the country.
Attributes | Details |
---|---|
Market Share | 4.7% |
The pandemic has sped up the adoption of online food delivery, generating potential for the sector in the long run. Therefore, the outlook for the online on-demand food delivery services market in Japan may stay favorable.
Online food delivery service manufacturers should prioritize strengthening delivery infrastructure, growing their restaurant alliances, and boosting user experiences. It is anticipated that sustainable and healthy options may become more prevalent, impacting menu choices and delivery methods. The online food orders and delivery services market in Japan is overall prepared for long-term expansion and innovation.
There is fierce competition in the online food delivery market. Expansion, mergers & acquisitions, and partnerships to achieve consolidation and maximize their offers are the main tactics chosen by businesses to strengthen their market dominance.
Online food delivery manufacturers place a strong emphasis on research and development to create technologically advanced and distinctive products in order to obtain a competitive edge, in addition to growing the business' size and reach.
Novel Advancements
Company | Details |
---|---|
Eat Takeaway.com | In March 2022, McDonald's and Eat Takeaway.com partnered to increase delivery service. Eat Takeaway.com is Europe's leading online food-ordering business. |
Uber Technologies Inc. | In October 2021, the two businesses started combining their complementing delivery applications and services after Uber Technologies Inc. purchased Drizly. About 18.7 million freshly issued shares of Uber common stock and cash totaled US$ 1.1 billion, which was used as the purchase consideration. |
Grab Holdings | Grab Holdings, a notable ride-hailing and food delivery company in Southeast Asia, announced in April 2021 that it plans to merge with Altimeter Growth Corp. for a combined US$ 40 billion. |
Delivery Hero Group | The Danish online meal delivery business Hungry.dk ApS was acquired by Delivery Hero Group in October 2021. Delivery Hero has increased the strength of its presence in the Nordic nations with this acquisition. |
In 2023, the online food delivery market is predicted to be worth US$ 41.94 billion.
By 2033, the food delivery services online market is expected to reach US$ 101.32 billion.
The global online food delivery market is set to exhibit a CAGR of 10% through 2033.
Platform-to-Consumer segment is estimated to account for 60% of the global market by 2023.
India market to register a CAGR of 3.1% from 2023 to 2033.
The United States to grab a market share of 23.5% by 2033.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Delivery Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Delivery Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Delivery Type, 2023 to 2033
5.3.1. Restaurant to Consumer
5.3.2. Platform to Consumer
5.4. Y-o-Y Growth Trend Analysis By Delivery Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Delivery Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Channel Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Channel Type, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Channel Type, 2023 to 2033
6.3.1. Website/Desktop
6.3.2. Mobile Application
6.4. Y-o-Y Growth Trend Analysis By Channel Type, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Channel Type, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Payment Method
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Payment Method, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Payment Method, 2023 to 2033
7.3.1. Cash On Delivery
7.3.2. Online
7.4. Y-o-Y Growth Trend Analysis By Payment Method, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Payment Method, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Delivery Type
9.2.3. By Channel Type
9.2.4. By Payment Method
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Delivery Type
9.3.3. By Channel Type
9.3.4. By Payment Method
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Delivery Type
10.2.3. By Channel Type
10.2.4. By Payment Method
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Delivery Type
10.3.3. By Channel Type
10.3.4. By Payment Method
10.4. Key Takeaways
11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Delivery Type
11.2.3. By Channel Type
11.2.4. By Payment Method
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Delivery Type
11.3.3. By Channel Type
11.3.4. By Payment Method
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Delivery Type
12.2.3. By Channel Type
12.2.4. By Payment Method
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Delivery Type
12.3.3. By Channel Type
12.3.4. By Payment Method
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Delivery Type
13.2.3. By Channel Type
13.2.4. By Payment Method
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Delivery Type
13.3.3. By Channel Type
13.3.4. By Payment Method
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Delivery Type
14.2.3. By Channel Type
14.2.4. By Payment Method
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Delivery Type
14.3.3. By Channel Type
14.3.4. By Payment Method
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Delivery Type
15.2.3. By Channel Type
15.2.4. By Payment Method
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Delivery Type
15.3.3. By Channel Type
15.3.4. By Payment Method
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Delivery Type
16.1.2.2. By Channel Type
16.1.2.3. By Payment Method
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Delivery Type
16.2.2.2. By Channel Type
16.2.2.3. By Payment Method
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Delivery Type
16.3.2.2. By Channel Type
16.3.2.3. By Payment Method
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Delivery Type
16.4.2.2. By Channel Type
16.4.2.3. By Payment Method
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Delivery Type
16.5.2.2. By Channel Type
16.5.2.3. By Payment Method
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Delivery Type
16.6.2.2. By Channel Type
16.6.2.3. By Payment Method
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Delivery Type
16.7.2.2. By Channel Type
16.7.2.3. By Payment Method
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Delivery Type
16.8.2.2. By Channel Type
16.8.2.3. By Payment Method
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Delivery Type
16.9.2.2. By Channel Type
16.9.2.3. By Payment Method
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Delivery Type
16.10.2.2. By Channel Type
16.10.2.3. By Payment Method
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Delivery Type
16.11.2.2. By Channel Type
16.11.2.3. By Payment Method
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Delivery Type
16.12.2.2. By Channel Type
16.12.2.3. By Payment Method
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Delivery Type
16.13.2.2. By Channel Type
16.13.2.3. By Payment Method
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Delivery Type
16.14.2.2. By Channel Type
16.14.2.3. By Payment Method
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Delivery Type
16.15.2.2. By Channel Type
16.15.2.3. By Payment Method
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Delivery Type
16.16.2.2. By Channel Type
16.16.2.3. By Payment Method
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Delivery Type
16.17.2.2. By Channel Type
16.17.2.3. By Payment Method
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Delivery Type
16.18.2.2. By Channel Type
16.18.2.3. By Payment Method
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Delivery Type
16.19.2.2. By Channel Type
16.19.2.3. By Payment Method
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Delivery Type
16.20.2.2. By Channel Type
16.20.2.3. By Payment Method
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Delivery Type
16.21.2.2. By Channel Type
16.21.2.3. By Payment Method
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Delivery Type
16.22.2.2. By Channel Type
16.22.2.3. By Payment Method
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Delivery Type
16.23.2.2. By Channel Type
16.23.2.3. By Payment Method
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Delivery Type
17.3.3. By Channel Type
17.3.4. By Payment Method
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Deliveroo
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. DoorDash
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Foodpanda
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. GrubHub
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Just Eat Holding Limited
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Postmates Inc.
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Swiggy
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Takeaway.com
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Zomato
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Uber Technologies Inc.
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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