Q-Commerce Comprehensive Study by End Use (Warehouse, Individual, Corporate), Category Food (Food, Personal care, Groceries Product, Household Goods, Pharmaceuticals, Others) Players and Region - Global Market Outlook to 2030

Q-Commerce Market by XX Submarkets | Forecast Years 2024-2030  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Q-Commerce


AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)


The rising number of players expected to enter the global market is predicted to enhance the competition level as well as encourage the growth of the overall market in the near future. Players are anticipated to focus on the development of new compounds, which is likely to encourage the growth of the global market throughout the forecast period. Analyst at AMA Research estimates that Global Vendors will contribute the maximum growth to Global Q-Commerce market throughout the forecasted period. Established and emerging Vendors should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Uber Eats (United States), Deliveroo (United Kingdom), Delivery hero (Germany), Getir (United States), Jokr (United States), Gorillas (Germany), Weezy (United Kingdom), Zepto (India), goPuff (Philadelphia), Glovo (Spain), Zapp (Germany), Dija (China) and JiffyCajoo (United Kingdom) are some of the key players that are part of study coverage. Additionally, the Vendors which are also part of the research coverage are BigBasket (India), Swiggy(India), Grofer (India) and Others.

Segmentation Overview
AMA Research has segmented the market of Global Q-Commerce market by and Region.



On the basis of geography, the market of Q-Commerce has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by End Use, the sub-segment i.e. Warehouse will boost the Q-Commerce market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Category Food , the sub-segment i.e. Food will boost the Q-Commerce market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Big data plays an important role in creating personalized experiences.

Market Growth Drivers:
Price has always been the trump card for the q-commerce industry as most of the products that are available online are cheaper than the same products available offline

Challenges:
Onboarding more micro-merchants is another challenge in q-Commerce

Restraints:
Government regulation for the q-commerce industry

Opportunities:
The reason for gaining opportunities is busy lifestyles, urbanization, smaller households, COVID-19, and an aging population

Market Leaders and their expansionary development strategies
On November 2021 Getir has acquired q-commerce rivals Weezy, However, Turkey-based Getir launched in the UK in January this year and now operates in 15 towns and cities that include London, Manchester, Birmingham, and Liverpool. Weezy meanwhile has a presence in Manchester, Brighton, and Liverpool.
On December 2021, food delivery aggregator Swiggyis planning to invest USD 700 million In the current portfolio. Quick commerce enables customers to order groceries and fresh fruits and vegetables and have them delivered roughly within 30 minutes.This service competes directly with Dunzo and other start-ups in the space


Key Target Audience
Manufacturing Companies, Research & Development, Market Research & Consultancy Firm, Potential Investors and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By End Use
  • Warehouse
  • Individual
  • Corporate

By Category Food
  • Food
  • Personal care
  • Groceries Product
  • Household Goods
  • Pharmaceuticals
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Price has always been the trump card for the q-commerce industry as most of the products that are available online are cheaper than the same products available offline
    • 3.3. Market Challenges
      • 3.3.1. Onboarding more micro-merchants is another challenge in q-Commerce
    • 3.4. Market Trends
      • 3.4.1. Big data plays an important role in creating personalized experiences.
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Q-Commerce, by End Use, Category Food and Region (value and price ) (2018-2023)
    • 5.1. Introduction
    • 5.2. Global Q-Commerce (Value)
      • 5.2.1. Global Q-Commerce by: End Use (Value)
        • 5.2.1.1. Warehouse
        • 5.2.1.2. Individual
        • 5.2.1.3. Corporate
      • 5.2.2. Global Q-Commerce Region
        • 5.2.2.1. South America
          • 5.2.2.1.1. Brazil
          • 5.2.2.1.2. Argentina
          • 5.2.2.1.3. Rest of South America
        • 5.2.2.2. Asia Pacific
          • 5.2.2.2.1. China
          • 5.2.2.2.2. Japan
          • 5.2.2.2.3. India
          • 5.2.2.2.4. South Korea
          • 5.2.2.2.5. Australia
          • 5.2.2.2.6. Rest of Asia-Pacific
        • 5.2.2.3. Europe
          • 5.2.2.3.1. Germany
          • 5.2.2.3.2. France
          • 5.2.2.3.3. Italy
          • 5.2.2.3.4. United Kingdom
          • 5.2.2.3.5. Netherlands
          • 5.2.2.3.6. Rest of Europe
        • 5.2.2.4. MEA
          • 5.2.2.4.1. Middle East
          • 5.2.2.4.2. Africa
        • 5.2.2.5. North America
          • 5.2.2.5.1. United States
          • 5.2.2.5.2. Canada
          • 5.2.2.5.3. Mexico
    • 5.3. Global Q-Commerce (Price)
  • 6. Q-Commerce: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2023)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Uber Eats (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Deliveroo (United Kingdom)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Delivery hero (Germany)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Getir (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Jokr (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Gorillas (Germany)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Weezy (United Kingdom)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Zepto (India)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. GoPuff (Philadelphia)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Glovo (Spain)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Zapp (Germany)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Dija (China)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. JiffyCajoo (United Kingdom)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
  • 7. Global Q-Commerce Sale, by End Use, Category Food and Region (value and price ) (2025-2030)
    • 7.1. Introduction
    • 7.2. Global Q-Commerce (Value)
      • 7.2.1. Global Q-Commerce by: End Use (Value)
        • 7.2.1.1. Warehouse
        • 7.2.1.2. Individual
        • 7.2.1.3. Corporate
      • 7.2.2. Global Q-Commerce Region
        • 7.2.2.1. South America
          • 7.2.2.1.1. Brazil
          • 7.2.2.1.2. Argentina
          • 7.2.2.1.3. Rest of South America
        • 7.2.2.2. Asia Pacific
          • 7.2.2.2.1. China
          • 7.2.2.2.2. Japan
          • 7.2.2.2.3. India
          • 7.2.2.2.4. South Korea
          • 7.2.2.2.5. Australia
          • 7.2.2.2.6. Rest of Asia-Pacific
        • 7.2.2.3. Europe
          • 7.2.2.3.1. Germany
          • 7.2.2.3.2. France
          • 7.2.2.3.3. Italy
          • 7.2.2.3.4. United Kingdom
          • 7.2.2.3.5. Netherlands
          • 7.2.2.3.6. Rest of Europe
        • 7.2.2.4. MEA
          • 7.2.2.4.1. Middle East
          • 7.2.2.4.2. Africa
        • 7.2.2.5. North America
          • 7.2.2.5.1. United States
          • 7.2.2.5.2. Canada
          • 7.2.2.5.3. Mexico
    • 7.3. Global Q-Commerce (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Q-Commerce: by End Use(USD Million)
  • Table 2. Q-Commerce Warehouse , by Region USD Million (2018-2023)
  • Table 3. Q-Commerce Individual , by Region USD Million (2018-2023)
  • Table 4. Q-Commerce Corporate , by Region USD Million (2018-2023)
  • Table 5. South America Q-Commerce, by Country USD Million (2018-2023)
  • Table 6. South America Q-Commerce, by End Use USD Million (2018-2023)
  • Table 7. South America Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 8. Brazil Q-Commerce, by End Use USD Million (2018-2023)
  • Table 9. Brazil Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 10. Argentina Q-Commerce, by End Use USD Million (2018-2023)
  • Table 11. Argentina Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 12. Rest of South America Q-Commerce, by End Use USD Million (2018-2023)
  • Table 13. Rest of South America Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 14. Asia Pacific Q-Commerce, by Country USD Million (2018-2023)
  • Table 15. Asia Pacific Q-Commerce, by End Use USD Million (2018-2023)
  • Table 16. Asia Pacific Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 17. China Q-Commerce, by End Use USD Million (2018-2023)
  • Table 18. China Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 19. Japan Q-Commerce, by End Use USD Million (2018-2023)
  • Table 20. Japan Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 21. India Q-Commerce, by End Use USD Million (2018-2023)
  • Table 22. India Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 23. South Korea Q-Commerce, by End Use USD Million (2018-2023)
  • Table 24. South Korea Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 25. Australia Q-Commerce, by End Use USD Million (2018-2023)
  • Table 26. Australia Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 27. Rest of Asia-Pacific Q-Commerce, by End Use USD Million (2018-2023)
  • Table 28. Rest of Asia-Pacific Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 29. Europe Q-Commerce, by Country USD Million (2018-2023)
  • Table 30. Europe Q-Commerce, by End Use USD Million (2018-2023)
  • Table 31. Europe Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 32. Germany Q-Commerce, by End Use USD Million (2018-2023)
  • Table 33. Germany Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 34. France Q-Commerce, by End Use USD Million (2018-2023)
  • Table 35. France Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 36. Italy Q-Commerce, by End Use USD Million (2018-2023)
  • Table 37. Italy Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 38. United Kingdom Q-Commerce, by End Use USD Million (2018-2023)
  • Table 39. United Kingdom Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 40. Netherlands Q-Commerce, by End Use USD Million (2018-2023)
  • Table 41. Netherlands Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 42. Rest of Europe Q-Commerce, by End Use USD Million (2018-2023)
  • Table 43. Rest of Europe Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 44. MEA Q-Commerce, by Country USD Million (2018-2023)
  • Table 45. MEA Q-Commerce, by End Use USD Million (2018-2023)
  • Table 46. MEA Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 47. Middle East Q-Commerce, by End Use USD Million (2018-2023)
  • Table 48. Middle East Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 49. Africa Q-Commerce, by End Use USD Million (2018-2023)
  • Table 50. Africa Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 51. North America Q-Commerce, by Country USD Million (2018-2023)
  • Table 52. North America Q-Commerce, by End Use USD Million (2018-2023)
  • Table 53. North America Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 54. United States Q-Commerce, by End Use USD Million (2018-2023)
  • Table 55. United States Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 56. Canada Q-Commerce, by End Use USD Million (2018-2023)
  • Table 57. Canada Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 58. Mexico Q-Commerce, by End Use USD Million (2018-2023)
  • Table 59. Mexico Q-Commerce, by Category Food USD Million (2018-2023)
  • Table 60. Company Basic Information, Sales Area and Its Competitors
  • Table 61. Company Basic Information, Sales Area and Its Competitors
  • Table 62. Company Basic Information, Sales Area and Its Competitors
  • Table 63. Company Basic Information, Sales Area and Its Competitors
  • Table 64. Company Basic Information, Sales Area and Its Competitors
  • Table 65. Company Basic Information, Sales Area and Its Competitors
  • Table 66. Company Basic Information, Sales Area and Its Competitors
  • Table 67. Company Basic Information, Sales Area and Its Competitors
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Q-Commerce: by End Use(USD Million)
  • Table 74. Q-Commerce Warehouse , by Region USD Million (2025-2030)
  • Table 75. Q-Commerce Individual , by Region USD Million (2025-2030)
  • Table 76. Q-Commerce Corporate , by Region USD Million (2025-2030)
  • Table 77. South America Q-Commerce, by Country USD Million (2025-2030)
  • Table 78. South America Q-Commerce, by End Use USD Million (2025-2030)
  • Table 79. South America Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 80. Brazil Q-Commerce, by End Use USD Million (2025-2030)
  • Table 81. Brazil Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 82. Argentina Q-Commerce, by End Use USD Million (2025-2030)
  • Table 83. Argentina Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 84. Rest of South America Q-Commerce, by End Use USD Million (2025-2030)
  • Table 85. Rest of South America Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 86. Asia Pacific Q-Commerce, by Country USD Million (2025-2030)
  • Table 87. Asia Pacific Q-Commerce, by End Use USD Million (2025-2030)
  • Table 88. Asia Pacific Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 89. China Q-Commerce, by End Use USD Million (2025-2030)
  • Table 90. China Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 91. Japan Q-Commerce, by End Use USD Million (2025-2030)
  • Table 92. Japan Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 93. India Q-Commerce, by End Use USD Million (2025-2030)
  • Table 94. India Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 95. South Korea Q-Commerce, by End Use USD Million (2025-2030)
  • Table 96. South Korea Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 97. Australia Q-Commerce, by End Use USD Million (2025-2030)
  • Table 98. Australia Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 99. Rest of Asia-Pacific Q-Commerce, by End Use USD Million (2025-2030)
  • Table 100. Rest of Asia-Pacific Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 101. Europe Q-Commerce, by Country USD Million (2025-2030)
  • Table 102. Europe Q-Commerce, by End Use USD Million (2025-2030)
  • Table 103. Europe Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 104. Germany Q-Commerce, by End Use USD Million (2025-2030)
  • Table 105. Germany Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 106. France Q-Commerce, by End Use USD Million (2025-2030)
  • Table 107. France Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 108. Italy Q-Commerce, by End Use USD Million (2025-2030)
  • Table 109. Italy Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 110. United Kingdom Q-Commerce, by End Use USD Million (2025-2030)
  • Table 111. United Kingdom Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 112. Netherlands Q-Commerce, by End Use USD Million (2025-2030)
  • Table 113. Netherlands Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 114. Rest of Europe Q-Commerce, by End Use USD Million (2025-2030)
  • Table 115. Rest of Europe Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 116. MEA Q-Commerce, by Country USD Million (2025-2030)
  • Table 117. MEA Q-Commerce, by End Use USD Million (2025-2030)
  • Table 118. MEA Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 119. Middle East Q-Commerce, by End Use USD Million (2025-2030)
  • Table 120. Middle East Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 121. Africa Q-Commerce, by End Use USD Million (2025-2030)
  • Table 122. Africa Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 123. North America Q-Commerce, by Country USD Million (2025-2030)
  • Table 124. North America Q-Commerce, by End Use USD Million (2025-2030)
  • Table 125. North America Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 126. United States Q-Commerce, by End Use USD Million (2025-2030)
  • Table 127. United States Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 128. Canada Q-Commerce, by End Use USD Million (2025-2030)
  • Table 129. Canada Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 130. Mexico Q-Commerce, by End Use USD Million (2025-2030)
  • Table 131. Mexico Q-Commerce, by Category Food USD Million (2025-2030)
  • Table 132. Research Programs/Design for This Report
  • Table 133. Key Data Information from Secondary Sources
  • Table 134. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Q-Commerce: by End Use USD Million (2018-2023)
  • Figure 5. South America Q-Commerce Share (%), by Country
  • Figure 6. Asia Pacific Q-Commerce Share (%), by Country
  • Figure 7. Europe Q-Commerce Share (%), by Country
  • Figure 8. MEA Q-Commerce Share (%), by Country
  • Figure 9. North America Q-Commerce Share (%), by Country
  • Figure 10. Global Q-Commerce share by Players 2023 (%)
  • Figure 11. Global Q-Commerce share by Players (Top 3) 2023(%)
  • Figure 12. Global Q-Commerce share by Players (Top 5) 2023(%)
  • Figure 13. BCG Matrix for key Companies
  • Figure 14. Uber Eats (United States) Revenue, Net Income and Gross profit
  • Figure 15. Uber Eats (United States) Revenue: by Geography 2023
  • Figure 16. Deliveroo (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 17. Deliveroo (United Kingdom) Revenue: by Geography 2023
  • Figure 18. Delivery hero (Germany) Revenue, Net Income and Gross profit
  • Figure 19. Delivery hero (Germany) Revenue: by Geography 2023
  • Figure 20. Getir (United States) Revenue, Net Income and Gross profit
  • Figure 21. Getir (United States) Revenue: by Geography 2023
  • Figure 22. Jokr (United States) Revenue, Net Income and Gross profit
  • Figure 23. Jokr (United States) Revenue: by Geography 2023
  • Figure 24. Gorillas (Germany) Revenue, Net Income and Gross profit
  • Figure 25. Gorillas (Germany) Revenue: by Geography 2023
  • Figure 26. Weezy (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 27. Weezy (United Kingdom) Revenue: by Geography 2023
  • Figure 28. Zepto (India) Revenue, Net Income and Gross profit
  • Figure 29. Zepto (India) Revenue: by Geography 2023
  • Figure 30. GoPuff (Philadelphia) Revenue, Net Income and Gross profit
  • Figure 31. GoPuff (Philadelphia) Revenue: by Geography 2023
  • Figure 32. Glovo (Spain) Revenue, Net Income and Gross profit
  • Figure 33. Glovo (Spain) Revenue: by Geography 2023
  • Figure 34. Zapp (Germany) Revenue, Net Income and Gross profit
  • Figure 35. Zapp (Germany) Revenue: by Geography 2023
  • Figure 36. Dija (China) Revenue, Net Income and Gross profit
  • Figure 37. Dija (China) Revenue: by Geography 2023
  • Figure 38. JiffyCajoo (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 39. JiffyCajoo (United Kingdom) Revenue: by Geography 2023
  • Figure 40. Global Q-Commerce: by End Use USD Million (2025-2030)
  • Figure 41. South America Q-Commerce Share (%), by Country
  • Figure 42. Asia Pacific Q-Commerce Share (%), by Country
  • Figure 43. Europe Q-Commerce Share (%), by Country
  • Figure 44. MEA Q-Commerce Share (%), by Country
  • Figure 45. North America Q-Commerce Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Uber Eats (United States)
  • Deliveroo (United Kingdom)
  • Delivery hero (Germany)
  • Getir (United States)
  • Jokr (United States)
  • Gorillas (Germany)
  • Weezy (United Kingdom)
  • Zepto (India)
  • goPuff (Philadelphia)
  • Glovo (Spain)
  • Zapp (Germany)
  • Dija (China)
  • JiffyCajoo (United Kingdom)
Additional players considered in the study are as follows:
BigBasket (India) , Swiggy(India) , Grofer (India) , Others
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Key Highlights of Report


May 2024 220 Pages 87 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Uber Eats (United States), Deliveroo (United Kingdom), Delivery hero (Germany), Getir (United States), Jokr (United States), Gorillas (Germany), Weezy (United Kingdom), Zepto (India), goPuff (Philadelphia), Glovo (Spain), Zapp (Germany), Dija (China) and JiffyCajoo (United Kingdom) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Big data plays an important role in creating personalized experiences." is seen as one of major influencing trends for Q-Commerce Market during projected period 2023-2030.
The Q-Commerce market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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