Online Ride Hailing Services Comprehensive Study by Mode Of Booking (Online, Offline), Vehicle Type (Four wheelers, Two wheelers, Three wheelers), Service (E-hailing, Car Sharing, Rental)

Online Ride Hailing Services Market by XX Submarkets | Forecast Years 2025-2032  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Online Ride Hailing Services
Online taxi-hailing services have transformed the transport sector by offering an easy and flexible means for individuals to travel from one destination to another. Applications such as Uber, Lyft, and Bolt link passengers with drivers via mobile apps, making it possible for users to order rides from drivers near them at any time. The services have gained popularity globally because they are easy to use, affordable, and one can monitor the rides in real-time. Ride-hailing services generally provide various types of rides, such as low-cost, high-end, and pool rides, to suit diverse customers. Further, the transaction process is facilitated within the app, removing the necessity for cash payments and providing a seamless customer experience. Online ride-hailing services have also brought substantial economic and social effects. For drivers, the platforms provide work flexibility with the ability to pick their time and earn as much as they can based on demand.

AttributesDetails
Study Period2020-2032
Base Year2024
UnitValue (USD Million)


Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Uber (San Francisco, California, USA), Lyft (San Francisco, California, USA), Via (New York City, New York, USA), Juno (New York City, New York, USA), Xoox (London, UK), Wheely (London, UK), ViaVan (Berlin, Germany), My Taxi (Hamburg, Germany), Gett (London, UK) and Addison Lee (London, UK) are some of the key players that are part of study coverage.

Segmentation Overview
AMA Research has segmented the market of Indonesia Online Ride Hailing Services market by and Region.



On the basis of geography, the market of Online Ride Hailing Services has been segmented into . If we see Market by Mode Of Booking, the sub-segment i.e. Online will boost the Online Ride Hailing Services market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Vehicle Type, the sub-segment i.e. Four wheelers will boost the Online Ride Hailing Services market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Service, the sub-segment i.e. E-hailing will boost the Online Ride Hailing Services market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.



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 Mode Of Booking
  • Online
  • Offline

By Vehicle Type
  • Four wheelers
  • Two wheelers
  • Three wheelers

By Service
  • E-hailing
  • Car Sharing
  • Rental

By Regions
    • 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 Factor Analysis
      • 3.1. Porters Five Forces
      • 3.2. Supply/Value Chain
      • 3.3. PESTEL analysis
      • 3.4. Market Entropy
      • 3.5. Patent/Trademark Analysis
    • 4. Indonesia Online Ride Hailing Services, by Mode Of Booking, Vehicle Type and Service (value) (2019-2024)
      • 4.1. Introduction
      • 4.2. Indonesia Online Ride Hailing Services (Value)
        • 4.2.1. Indonesia Online Ride Hailing Services by: Mode Of Booking (Value)
          • 4.2.1.1. Online
          • 4.2.1.2. Offline
        • 4.2.2. Indonesia Online Ride Hailing Services by: Vehicle Type (Value)
          • 4.2.2.1. Four wheelers
          • 4.2.2.2. Two wheelers
          • 4.2.2.3. Three wheelers
        • 4.2.3. Indonesia Online Ride Hailing Services by: Service (Value)
          • 4.2.3.1. E-hailing
          • 4.2.3.2. Car Sharing
          • 4.2.3.3. Rental
    • 5. Online Ride Hailing Services: Manufacturers/Players Analysis
      • 5.1. Competitive Landscape
        • 5.1.1. Market Share Analysis
          • 5.1.1.1. Top 3
          • 5.1.1.2. Top 5
      • 5.2. Peer Group Analysis (2024)
      • 5.3. BCG Matrix
      • 5.4. Company Profile
        • 5.4.1. Uber (San Francisco, California, USA)
          • 5.4.1.1. Business Overview
          • 5.4.1.2. Products/Services Offerings
          • 5.4.1.3. Financial Analysis
          • 5.4.1.4. SWOT Analysis
        • 5.4.2. Lyft (San Francisco, California, USA)
          • 5.4.2.1. Business Overview
          • 5.4.2.2. Products/Services Offerings
          • 5.4.2.3. Financial Analysis
          • 5.4.2.4. SWOT Analysis
        • 5.4.3. Via (New York City, New York, USA)
          • 5.4.3.1. Business Overview
          • 5.4.3.2. Products/Services Offerings
          • 5.4.3.3. Financial Analysis
          • 5.4.3.4. SWOT Analysis
        • 5.4.4. Juno (New York City, New York, USA)
          • 5.4.4.1. Business Overview
          • 5.4.4.2. Products/Services Offerings
          • 5.4.4.3. Financial Analysis
          • 5.4.4.4. SWOT Analysis
        • 5.4.5. Xoox (London, UK)
          • 5.4.5.1. Business Overview
          • 5.4.5.2. Products/Services Offerings
          • 5.4.5.3. Financial Analysis
          • 5.4.5.4. SWOT Analysis
        • 5.4.6. Wheely (London, UK)
          • 5.4.6.1. Business Overview
          • 5.4.6.2. Products/Services Offerings
          • 5.4.6.3. Financial Analysis
          • 5.4.6.4. SWOT Analysis
        • 5.4.7. ViaVan (Berlin, Germany)
          • 5.4.7.1. Business Overview
          • 5.4.7.2. Products/Services Offerings
          • 5.4.7.3. Financial Analysis
          • 5.4.7.4. SWOT Analysis
        • 5.4.8. My Taxi (Hamburg, Germany)
          • 5.4.8.1. Business Overview
          • 5.4.8.2. Products/Services Offerings
          • 5.4.8.3. Financial Analysis
          • 5.4.8.4. SWOT Analysis
        • 5.4.9. Gett (London, UK)
          • 5.4.9.1. Business Overview
          • 5.4.9.2. Products/Services Offerings
          • 5.4.9.3. Financial Analysis
          • 5.4.9.4. SWOT Analysis
        • 5.4.10. Addison Lee (London, UK)
          • 5.4.10.1. Business Overview
          • 5.4.10.2. Products/Services Offerings
          • 5.4.10.3. Financial Analysis
          • 5.4.10.4. SWOT Analysis
    • 6. Indonesia Online Ride Hailing Services Sale, by Mode Of Booking, Vehicle Type and Service (value) (2027-2032)
      • 6.1. Introduction
      • 6.2. Indonesia Online Ride Hailing Services (Value)
        • 6.2.1. Indonesia Online Ride Hailing Services by: Mode Of Booking (Value)
          • 6.2.1.1. Online
          • 6.2.1.2. Offline
        • 6.2.2. Indonesia Online Ride Hailing Services by: Vehicle Type (Value)
          • 6.2.2.1. Four wheelers
          • 6.2.2.2. Two wheelers
          • 6.2.2.3. Three wheelers
        • 6.2.3. Indonesia Online Ride Hailing Services by: Service (Value)
          • 6.2.3.1. E-hailing
          • 6.2.3.2. Car Sharing
          • 6.2.3.3. Rental
    • 7. Appendix
      • 7.1. Acronyms
    • 8. Methodology and Data Source
      • 8.1. Methodology/Research Approach
        • 8.1.1. Research Programs/Design
        • 8.1.2. Market Size Estimation
        • 8.1.3. Market Breakdown and Data Triangulation
      • 8.2. Data Source
        • 8.2.1. Secondary Sources
        • 8.2.2. Primary Sources
      • 8.3. Disclaimer
    List of Tables
    • Table 1. Online Ride Hailing Services: by Mode Of Booking(USD Million)
    • Table 2. Online Ride Hailing Services: by Vehicle Type(USD Million)
    • Table 3. Online Ride Hailing Services: by Service(USD Million)
    • Table 4. Company Basic Information, Sales Area and Its Competitors
    • Table 5. Company Basic Information, Sales Area and Its Competitors
    • Table 6. Company Basic Information, Sales Area and Its Competitors
    • Table 7. Company Basic Information, Sales Area and Its Competitors
    • Table 8. Company Basic Information, Sales Area and Its Competitors
    • Table 9. Company Basic Information, Sales Area and Its Competitors
    • Table 10. Company Basic Information, Sales Area and Its Competitors
    • Table 11. Company Basic Information, Sales Area and Its Competitors
    • Table 12. Company Basic Information, Sales Area and Its Competitors
    • Table 13. Company Basic Information, Sales Area and Its Competitors
    • Table 14. Online Ride Hailing Services: by Mode Of Booking(USD Million)
    • Table 15. Online Ride Hailing Services: by Vehicle Type(USD Million)
    • Table 16. Online Ride Hailing Services: by Service(USD Million)
    • Table 17. Research Programs/Design for This Report
    • Table 18. Key Data Information from Secondary Sources
    • Table 19. 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. Indonesia Online Ride Hailing Services: by Mode Of Booking USD Million (2019-2024)
    • Figure 5. Indonesia Online Ride Hailing Services: by Vehicle Type USD Million (2019-2024)
    • Figure 6. Indonesia Online Ride Hailing Services: by Service USD Million (2019-2024)
    • Figure 7. Indonesia Online Ride Hailing Services share by Players 2024 (%)
    • Figure 8. Indonesia Online Ride Hailing Services share by Players (Top 3) 2024(%)
    • Figure 9. Indonesia Online Ride Hailing Services share by Players (Top 5) 2024(%)
    • Figure 10. BCG Matrix for key Companies
    • Figure 11. Uber (San Francisco, California, USA) Revenue, Net Income and Gross profit
    • Figure 12. Uber (San Francisco, California, USA) Revenue: by Geography 2024
    • Figure 13. Lyft (San Francisco, California, USA) Revenue, Net Income and Gross profit
    • Figure 14. Lyft (San Francisco, California, USA) Revenue: by Geography 2024
    • Figure 15. Via (New York City, New York, USA) Revenue, Net Income and Gross profit
    • Figure 16. Via (New York City, New York, USA) Revenue: by Geography 2024
    • Figure 17. Juno (New York City, New York, USA) Revenue, Net Income and Gross profit
    • Figure 18. Juno (New York City, New York, USA) Revenue: by Geography 2024
    • Figure 19. Xoox (London, UK) Revenue, Net Income and Gross profit
    • Figure 20. Xoox (London, UK) Revenue: by Geography 2024
    • Figure 21. Wheely (London, UK) Revenue, Net Income and Gross profit
    • Figure 22. Wheely (London, UK) Revenue: by Geography 2024
    • Figure 23. ViaVan (Berlin, Germany) Revenue, Net Income and Gross profit
    • Figure 24. ViaVan (Berlin, Germany) Revenue: by Geography 2024
    • Figure 25. My Taxi (Hamburg, Germany) Revenue, Net Income and Gross profit
    • Figure 26. My Taxi (Hamburg, Germany) Revenue: by Geography 2024
    • Figure 27. Gett (London, UK) Revenue, Net Income and Gross profit
    • Figure 28. Gett (London, UK) Revenue: by Geography 2024
    • Figure 29. Addison Lee (London, UK) Revenue, Net Income and Gross profit
    • Figure 30. Addison Lee (London, UK) Revenue: by Geography 2024
    • Figure 31. Indonesia Online Ride Hailing Services: by Mode Of Booking USD Million (2027-2032)
    • Figure 32. Indonesia Online Ride Hailing Services: by Vehicle Type USD Million (2027-2032)
    • Figure 33. Indonesia Online Ride Hailing Services: by Service USD Million (2027-2032)
    List of companies from research coverage that are profiled in the study
    • Uber (San Francisco, California, USA)
    • Lyft (San Francisco, California, USA)
    • Via (New York City, New York, USA)
    • Juno (New York City, New York, USA)
    • Xoox (London, UK)
    • Wheely (London, UK)
    • ViaVan (Berlin, Germany)
    • My Taxi (Hamburg, Germany)
    • Gett (London, UK)
    • Addison Lee (London, UK)
    Select User Access Type

    Key Highlights of Report


    Mar 2025 247 Pages 86 Tables Base Year: 2024 Coverage: 15+ Companies; 18 Countries

    Request Sample Pages

    Budget constraints? Get in touch with us for special pricing


    Check Discount Now

    Talk to Our Experts

    Want to Customize Study?


    "We employ Market statistics, Industry benchmarking, Patent analysis, and Technological Insights to derive requirements and provide customize scope of work."

    Make an Enquiry Now

    Frequently Asked Questions (FAQ):

    The standard version of the report profiles players such as Uber (San Francisco, California, USA), Lyft (San Francisco, California, USA), Via (New York City, New York, USA), Juno (New York City, New York, USA), Xoox (London, UK), Wheely (London, UK), ViaVan (Berlin, Germany), My Taxi (Hamburg, Germany), Gett (London, UK) and Addison Lee (London, UK) etc.
    The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
    "" is seen as one of major influencing trends for Online Ride Hailing Services Market during projected period 2024-2032.
    The Online Ride Hailing Services 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.

    Know More About Indonesia Online Ride Hailing Services Market Report?