Online Hyperlocal Services Comprehensive Study by Application (Individual Users, Commercial Users), Service Type (Online Logistics Services, Online Food Ordering Services, Online Grocery Delivery) Players and Region - Global Market Outlook to 2027

Online Hyperlocal Services Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Online Hyperlocal Services Market Overview:
Online hyperlocal services, an online business models that service to customer in specifically defined geographic locations that are under the reach of their regional service providers presence. These business models portfolio includes restaurant food deliveries, superstores & hyperstores grocery deliveries, logistics servicea. It also serves various home utility services such as plumbing, laundry, carpentry, electrical repairing and personal tutors.

AttributesDetails
Study Period2017-2027
Base Year2021
Forecast Period2022-2027
Historical Period2017-2021
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Expansion of E Commerce Worldwide and Affordable Cost and Efficient Delivery Services

Market Growth Drivers:
Increasing Adoption of Smartphones Across the Developing Economies and Surging Logistic Demand, and Interest of Investors in the Hyperlocal E-Commerce Sector

Challenges:
Lack of Internet Connectivity in Underdeveloped Nations

Restraints:
Highly Unorganized with Various Small Localized Players in Developing Countries

Opportunities:
Surging Consumer Inclination Towards Premium Services and Brands Across the World and High Penetration Rate of the Hyperlocal Services Even in Remote Areas

Competitive Landscape:

Some of the key players profiled in the report are Delivery Hero (Germany), Handy (United States), Instacart (United States), Uber Technologies (United States), Airtasker (Australia), ANI Technologies (Ola Cabs) (India), AskForTask (Canada), CLEANLY (United States), Groupon, Inc. (United States), Alfred Club (United States), Ibibogroup (India), Laurel & Wolf (United States) and TaskEasy (united States). Additionally, following companies can also be profiled that are part of our coverage like MAKEMYTRIP (India), MyClean (United States), Nextag (United States), SERVIZ (United States) and Swiggy (India). Analyst at AMA Research see United States Vendors to retain maximum share of Global Online Hyperlocal Services market by 2027. Considering Market by Service Type, the sub-segment i.e. Online Logistics Services will boost the Online Hyperlocal Services market.

What Can be Explored with the Online Hyperlocal Services Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Online Hyperlocal Services Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Online Hyperlocal Services
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Online Hyperlocal Services market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Online Hyperlocal Services market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Online Hyperlocal Services Providers, Technology Providers, System Integrator, Third Party Providers and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Application
  • Individual Users
  • Commercial Users
By Service Type
  • Online Logistics Services
  • Online Food Ordering Services
  • Online Grocery Delivery

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • 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. Increasing Adoption of Smartphones Across the Developing Economies
      • 3.2.2. Surging Logistic Demand, and Interest of Investors in the Hyperlocal E-Commerce Sector
    • 3.3. Market Challenges
      • 3.3.1. Lack of Internet Connectivity in Underdeveloped Nations
    • 3.4. Market Trends
      • 3.4.1. Expansion of E Commerce Worldwide
      • 3.4.2. Affordable Cost and Efficient Delivery Services
  • 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 Online Hyperlocal Services, by Application, Service Type and Region (value) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Online Hyperlocal Services (Value)
      • 5.2.1. Global Online Hyperlocal Services by: Application (Value)
        • 5.2.1.1. Individual Users
        • 5.2.1.2. Commercial Users
      • 5.2.2. Global Online Hyperlocal Services by: Service Type (Value)
        • 5.2.2.1. Online Logistics Services
        • 5.2.2.2. Online Food Ordering Services
        • 5.2.2.3. Online Grocery Delivery
      • 5.2.3. Global Online Hyperlocal Services Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Online Hyperlocal Services: 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 (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Delivery Hero (Germany)
        • 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. Handy (United States)
        • 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. Instacart (United States)
        • 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. Uber Technologies (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. Airtasker (Australia)
        • 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. ANI Technologies (Ola Cabs) (India)
        • 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. AskForTask (Canada)
        • 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. CLEANLY (United States)
        • 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. Groupon, Inc. (United States)
        • 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. Alfred Club (United States)
        • 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. Ibibogroup (India)
        • 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. Laurel & Wolf (United States)
        • 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. TaskEasy (united States)
        • 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 Online Hyperlocal Services Sale, by Application, Service Type and Region (value) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Online Hyperlocal Services (Value)
      • 7.2.1. Global Online Hyperlocal Services by: Application (Value)
        • 7.2.1.1. Individual Users
        • 7.2.1.2. Commercial Users
      • 7.2.2. Global Online Hyperlocal Services by: Service Type (Value)
        • 7.2.2.1. Online Logistics Services
        • 7.2.2.2. Online Food Ordering Services
        • 7.2.2.3. Online Grocery Delivery
      • 7.2.3. Global Online Hyperlocal Services Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
  • 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. Online Hyperlocal Services: by Application(USD Million)
  • Table 2. Online Hyperlocal Services Individual Users , by Region USD Million (2016-2021)
  • Table 3. Online Hyperlocal Services Commercial Users , by Region USD Million (2016-2021)
  • Table 4. Online Hyperlocal Services: by Service Type(USD Million)
  • Table 5. Online Hyperlocal Services Online Logistics Services , by Region USD Million (2016-2021)
  • Table 6. Online Hyperlocal Services Online Food Ordering Services , by Region USD Million (2016-2021)
  • Table 7. Online Hyperlocal Services Online Grocery Delivery , by Region USD Million (2016-2021)
  • Table 8. South America Online Hyperlocal Services, by Country USD Million (2016-2021)
  • Table 9. South America Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 10. South America Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 11. Brazil Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 12. Brazil Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 13. Argentina Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 14. Argentina Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 15. Rest of South America Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 16. Rest of South America Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 17. Asia Pacific Online Hyperlocal Services, by Country USD Million (2016-2021)
  • Table 18. Asia Pacific Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 19. Asia Pacific Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 20. China Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 21. China Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 22. Japan Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 23. Japan Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 24. India Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 25. India Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 26. South Korea Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 27. South Korea Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 28. Taiwan Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 29. Taiwan Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 30. Australia Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 31. Australia Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 32. Rest of Asia-Pacific Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 33. Rest of Asia-Pacific Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 34. Europe Online Hyperlocal Services, by Country USD Million (2016-2021)
  • Table 35. Europe Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 36. Europe Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 37. Germany Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 38. Germany Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 39. France Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 40. France Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 41. Italy Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 42. Italy Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 43. United Kingdom Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 44. United Kingdom Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 45. Netherlands Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 46. Netherlands Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 47. Rest of Europe Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 48. Rest of Europe Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 49. MEA Online Hyperlocal Services, by Country USD Million (2016-2021)
  • Table 50. MEA Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 51. MEA Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 52. Middle East Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 53. Middle East Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 54. Africa Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 55. Africa Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 56. North America Online Hyperlocal Services, by Country USD Million (2016-2021)
  • Table 57. North America Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 58. North America Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 59. United States Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 60. United States Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 61. Canada Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 62. Canada Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • Table 63. Mexico Online Hyperlocal Services, by Application USD Million (2016-2021)
  • Table 64. Mexico Online Hyperlocal Services, by Service Type USD Million (2016-2021)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Online Hyperlocal Services: by Application(USD Million)
  • Table 79. Online Hyperlocal Services Individual Users , by Region USD Million (2022-2027)
  • Table 80. Online Hyperlocal Services Commercial Users , by Region USD Million (2022-2027)
  • Table 81. Online Hyperlocal Services: by Service Type(USD Million)
  • Table 82. Online Hyperlocal Services Online Logistics Services , by Region USD Million (2022-2027)
  • Table 83. Online Hyperlocal Services Online Food Ordering Services , by Region USD Million (2022-2027)
  • Table 84. Online Hyperlocal Services Online Grocery Delivery , by Region USD Million (2022-2027)
  • Table 85. South America Online Hyperlocal Services, by Country USD Million (2022-2027)
  • Table 86. South America Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 87. South America Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 88. Brazil Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 89. Brazil Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 90. Argentina Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 91. Argentina Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 92. Rest of South America Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 93. Rest of South America Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 94. Asia Pacific Online Hyperlocal Services, by Country USD Million (2022-2027)
  • Table 95. Asia Pacific Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 96. Asia Pacific Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 97. China Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 98. China Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 99. Japan Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 100. Japan Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 101. India Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 102. India Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 103. South Korea Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 104. South Korea Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 105. Taiwan Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 106. Taiwan Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 107. Australia Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 108. Australia Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 109. Rest of Asia-Pacific Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 110. Rest of Asia-Pacific Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 111. Europe Online Hyperlocal Services, by Country USD Million (2022-2027)
  • Table 112. Europe Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 113. Europe Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 114. Germany Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 115. Germany Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 116. France Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 117. France Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 118. Italy Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 119. Italy Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 120. United Kingdom Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 121. United Kingdom Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 122. Netherlands Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 123. Netherlands Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 124. Rest of Europe Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 125. Rest of Europe Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 126. MEA Online Hyperlocal Services, by Country USD Million (2022-2027)
  • Table 127. MEA Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 128. MEA Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 129. Middle East Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 130. Middle East Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 131. Africa Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 132. Africa Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 133. North America Online Hyperlocal Services, by Country USD Million (2022-2027)
  • Table 134. North America Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 135. North America Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 136. United States Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 137. United States Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 138. Canada Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 139. Canada Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 140. Mexico Online Hyperlocal Services, by Application USD Million (2022-2027)
  • Table 141. Mexico Online Hyperlocal Services, by Service Type USD Million (2022-2027)
  • Table 142. Research Programs/Design for This Report
  • Table 143. Key Data Information from Secondary Sources
  • Table 144. 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 Online Hyperlocal Services: by Application USD Million (2016-2021)
  • Figure 5. Global Online Hyperlocal Services: by Service Type USD Million (2016-2021)
  • Figure 6. South America Online Hyperlocal Services Share (%), by Country
  • Figure 7. Asia Pacific Online Hyperlocal Services Share (%), by Country
  • Figure 8. Europe Online Hyperlocal Services Share (%), by Country
  • Figure 9. MEA Online Hyperlocal Services Share (%), by Country
  • Figure 10. North America Online Hyperlocal Services Share (%), by Country
  • Figure 11. Global Online Hyperlocal Services share by Players 2021 (%)
  • Figure 12. Global Online Hyperlocal Services share by Players (Top 3) 2021(%)
  • Figure 13. Global Online Hyperlocal Services share by Players (Top 5) 2021(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Delivery Hero (Germany) Revenue, Net Income and Gross profit
  • Figure 16. Delivery Hero (Germany) Revenue: by Geography 2021
  • Figure 17. Handy (United States) Revenue, Net Income and Gross profit
  • Figure 18. Handy (United States) Revenue: by Geography 2021
  • Figure 19. Instacart (United States) Revenue, Net Income and Gross profit
  • Figure 20. Instacart (United States) Revenue: by Geography 2021
  • Figure 21. Uber Technologies (United States) Revenue, Net Income and Gross profit
  • Figure 22. Uber Technologies (United States) Revenue: by Geography 2021
  • Figure 23. Airtasker (Australia) Revenue, Net Income and Gross profit
  • Figure 24. Airtasker (Australia) Revenue: by Geography 2021
  • Figure 25. ANI Technologies (Ola Cabs) (India) Revenue, Net Income and Gross profit
  • Figure 26. ANI Technologies (Ola Cabs) (India) Revenue: by Geography 2021
  • Figure 27. AskForTask (Canada) Revenue, Net Income and Gross profit
  • Figure 28. AskForTask (Canada) Revenue: by Geography 2021
  • Figure 29. CLEANLY (United States) Revenue, Net Income and Gross profit
  • Figure 30. CLEANLY (United States) Revenue: by Geography 2021
  • Figure 31. Groupon, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Groupon, Inc. (United States) Revenue: by Geography 2021
  • Figure 33. Alfred Club (United States) Revenue, Net Income and Gross profit
  • Figure 34. Alfred Club (United States) Revenue: by Geography 2021
  • Figure 35. Ibibogroup (India) Revenue, Net Income and Gross profit
  • Figure 36. Ibibogroup (India) Revenue: by Geography 2021
  • Figure 37. Laurel & Wolf (United States) Revenue, Net Income and Gross profit
  • Figure 38. Laurel & Wolf (United States) Revenue: by Geography 2021
  • Figure 39. TaskEasy (united States) Revenue, Net Income and Gross profit
  • Figure 40. TaskEasy (united States) Revenue: by Geography 2021
  • Figure 41. Global Online Hyperlocal Services: by Application USD Million (2022-2027)
  • Figure 42. Global Online Hyperlocal Services: by Service Type USD Million (2022-2027)
  • Figure 43. South America Online Hyperlocal Services Share (%), by Country
  • Figure 44. Asia Pacific Online Hyperlocal Services Share (%), by Country
  • Figure 45. Europe Online Hyperlocal Services Share (%), by Country
  • Figure 46. MEA Online Hyperlocal Services Share (%), by Country
  • Figure 47. North America Online Hyperlocal Services Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Delivery Hero (Germany)
  • Handy (United States)
  • Instacart (United States)
  • Uber Technologies (United States)
  • Airtasker (Australia)
  • ANI Technologies (Ola Cabs) (India)
  • AskForTask (Canada)
  • CLEANLY (United States)
  • Groupon, Inc. (United States)
  • Alfred Club (United States)
  • Ibibogroup (India)
  • Laurel & Wolf (United States)
  • TaskEasy (united States)
Additional players considered in the study are as follows:
MAKEMYTRIP (India) , MyClean (United States) , Nextag (United States) , SERVIZ (United States) , Swiggy (India)
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Key Highlights of Report


Sep 2022 242 Pages 55 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

Top performing companies in the Global Online Hyperlocal Services market are Delivery Hero (Germany), Handy (United States), Instacart (United States), Uber Technologies (United States), Airtasker (Australia), ANI Technologies (Ola Cabs) (India), AskForTask (Canada), CLEANLY (United States), Groupon, Inc. (United States), Alfred Club (United States), Ibibogroup (India), Laurel & Wolf (United States) and TaskEasy (united States), to name a few.
"Expansion of E Commerce Worldwide " is seen as one of major influencing trends for Online Hyperlocal Services Market during projected period 2021-2027.

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