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1018246

Mobility-as-a-Service: Business Models, Vendor Strategies & Market Forecasts 2021-2027

Published: | Juniper Research Ltd | Delivery time: 1-2 business days

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Mobility-as-a-Service: Business Models, Vendor Strategies & Market Forecasts 2021-2027
Published: July 12, 2021
Juniper Research Ltd
Delivery time: 1-2 business days
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Description

Juniper Research's latest “Mobility-as-a-Service” research report offers an in-depth analysis of this fast-growing market; providing critical insight into the business models being formulated and their future prospects, and appraising the extent of global MaaS (Mobility-as-a-Service) adoption. The report also provides in-depth analysis of the key sectors, drivers, and developments in the market, as well as insight into the impact of these services on existing mobility operators.

The research also contains a 16-vendor Juniper Research Leaderboard; positioning key vendors in MaaS on their relative strengths, accompanied by profiles with personalised recommendations for each vendor.

This research suite includes:

  • Deep Dive Strategy & Competition (PDF)
  • 7-year Deep Dive Data & Forecasting (PDF & Excel)
  • Executive Summary & Core Findings (PDF)
  • 12 Months' Access to harvest Online Data Platform

KEY FEATURES

  • MaaS Ecosystem Analysis: An insightful analysis of the potential impact of MaaS; covering 6 key segments:
    • Ridesharing
    • Ticketing
    • Shared Micromobility
    • Autonomous Vehicles
    • Electric Vehicles
    • Demand Responsive Transport
  • Market Dynamics: An incisive evaluation of the major drivers and challenges shaping the adoption and development of MaaS, covering:
    • Technological innovations that are enhancing the value of MaaS
    • Key issues vendors must address if widespread adoption of MaaS is to be achieved
  • Regional Readiness Analysis: An all-encompassing exploration of global MaaS adoption, covering:
    • Supporting Ecosystem
    • Existing MaaS Efforts
    • Growth Prospects
  • Juniper Research Leaderboard: 16 players offering MaaS solutions and products compared, scored, and positioned on the Juniper Research Leaderboard, including:
    • Citymapper
    • Cubic Transportation Systems
    • Fluidtime
    • G+D
    • GoTo Global
    • Greenlines Technology
    • HERE Technologies
    • Karhoo
    • MaaS Global
    • Masabi
    • Mobilleo
    • Moovit
    • Ridecell
    • Siemens Mobility
    • SkedGo
    • Trafi
  • Interviews: A number of leading MaaS stakeholders interviewed, including:
    • Cubic Transportation Systems
    • Fluidtime
    • G+D
    • HERE Technologies
    • Karhoo
    • Masabi
    • Mobilleo
    • Moovit
    • Ridecell
    • SkedGo
  • Benchmark Industry Forecasts: Our forecasts for market size and growth, including MaaS revenue, users, number of trips, time, fuel and emissions savings, split by consumer versus corporate and the following 27 countries:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • China
    • Colombia
    • Denmark
    • India
    • Finland
    • France
    • Germany
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Poland
    • Portugal
    • Russia
    • Saudi Arabia
    • South Africa
    • Singapore
    • South Korea
    • Spain
    • Sweden
    • UK
    • US

KEY QUESTIONS

  • 1. What are the main revenue opportunities in the MaaS space across the next 7 years?
  • 2. What are the biggest drivers and challenges in the MaaS space, and how are vendors approaching these?
  • 3. How has COVID-19 affected the implementation and adoption of MaaS?
  • 4. What is the global extent of MaaS adoption and how does this vary between regions?
  • 5. Who are the key players and vendors in the MaaS space?

COMPANIES REFERENCED

  • Interviewed: Cubic Transportation Systems, Fluidtime, G+D, HERE Technologies, Karhoo, Masabi, Mobilleo, Moovit, Ridecell, SkedGo.
  • Included in the Juniper Research Leaderboard: Citymapper, Cubic Transportation Systems, Fluidtime, G+D, GoTo Global, Greenlines Technology, HERE Technologies, Karhoo, MaaS Global, Masabi, Mobilleo, Moovit, Ridecell, Siemens Mobility, SkedGo, Trafi.
  • Mentioned: 99, A1 Telekom Austria Group, AAA, AccuWeather, ACT, Activate Capital, Advanced Telematic Systems, AirBike, ALD Automotive, AppartCity, Apple, Arevo, Audi, Auro Robotics, Baddel, Baidu, Basler Verkehrs-Betriebe BVB, Beam, Beijing Public Transit, Bernmobil, Biciudad, Bike Itau, Bikesantiago, Bird, BIXI, BlaBla Car, blueSG, BMW, Bolt, Bosch, Boston MBTA (Massachusetts Bay Transportation Authority), BP, Breeze Bikeshare, BRM Capital, Business Growth Fund, Bytemark, Cabify, Cabonline Technologies AB, Calgary Transit, Call a Bike, Call-n-Ride , Car Next Door, car2go, Careem, Carsales, ChargePoint, Citi Bank, Citi Bike, City of Mainz, Citybikes, Citymobil, Clippers, Compass, Conduent, Continental, Cowlines, Crowdcube, Curb, Ddareungi, Delimobil, Denso, Denver RTD (Regional Transportation District), Deutsche Bahn, Dial-a-Ride , Dida Chuxing, DiDi Chuxing, Docomo Bike Share, Dojo, Donkey Republic, Dot Transfers, Dott, EkoRent, elkaCar, Embark, emmy sharing, EMT Valencia, eos.uptrade, ERTICO, Facebook, Fareportal, Fatec, FEDA (Forces Elèctriques d'Andorra), FIDO Alliance, finderful.com, Flitways, FOD Mobility Group, Ford, Foursquare, Gertek, Gett, GlobalPlatform, GM (General Motors), GO bg Transit, Go Card , Go Get, GoBengaluru, GoCatch, GoDenver, Gojek, GoLA, GOLDBECK Parking, Google, GoOptus, Grab, Greenlines Technology, GuraRide, HaCon, Hella Ventures, HERE WeGo, Highlands and Islands Transport Partnership, Highways England, HRT (Helsinki Regional Transport Authority), HTM Personenvervoer NV, Hubway, IAG, Increment P, Ingogo, Intel, IQ Payments, ITLS Sydney, ITO World, ITS, Java Card Forum, Jayride, Jelbi, Jelbi, Jobike, Jorudan, Jrney, Kakao Talk, Kapsch TrafficCom , Kashiwa no ha, Kavim, Keolis, KINTO, LA Metrolink, LG Technology Ventures, Lifesight, Lime, LinkBike, Littlepay, loki, Lonely Planet, Long Beach Transit, LOOPShare, Los Angeles Metro, Lurraldebus, Lyft, Lyko, MaaS Alliance, Malaga, Manly Ferries, Mapstr, Mastercard, MBTA (Massachusetts Bay Transportation Authority), MC, Mercedes-Benz, Metrocard, Microsoft, MILES Mobility GmbH, Mitsubishi, Mitsui Fudosan, MMC Ventures, Mobee Travel, Mobike, MobilityX , Mobilize, Mobimeo, MOIA, Motiontag, Musement, MVG (Münchner Verkehrsgesellschaft), MyCorridor, National Express, National Transport for Ireland, Nekso, New York MTA (Metropolitan Transportation Authority), Nextbike, nextbike, Nissan, NordicNinja VC, NTT, Ola, Opal Card, Optus, orudan, OSPT Alliance, Park & Charge, Parkopedia, PayPal, Pioneer, PlaceIQ, PON, Port Authority of New York & New Jersey, Queensland Public Transport Department, Renault, RioGo, Samokat Sharing, San Francisco Muni, Santa Cruz Metro, Santander, SBB CFF FFS (Swiss Federal Railways), SEAT, Secure Technology Alliance, Sequoia Capital, Share Transport, Shebah, Shell Ventures, Shotl, Siemens Mobility, Skoda, SMART, Smartrip , Smedvig Capital, Smove, SMRT Corporation, SNCF (Société Nationale des Chemins de fer Français), Sony, SPARK, SPTrans, STB, Streetlight Data, Sunrise, Swift Fleet, Talixo, TAP, Telebus, Tel-O-Fun, Tesla, TfL Go, Thames Clippers, The O2 , Ticketer, TIER, Toronto Transit Commission, Toyota, Trainline, TransitLink Anywheel, Transport for Greater Manchester, Transport for New South Wales, Transport for West Midlands, Transport Scotland, Trapeze, Travel Time API , Trip.com, Uber, UK Department for Business, Energy & Industrial Strategy, Urent, Ventra, Ventura, Verkehrsbetriebe Zürich, Vintage Investment Partners, Voi, Volkswagen, Vy, Waym, WeWork, What3Words, Whim, Whoosh, Wiener Linien, WMATA (Washington Metropolitan Area Transit Authority), Wuhan City, Yandex.Drive, Yumuv, Zenrin, Zipcar, ZipTrip.

DATA & INTERACTIVE FORECAST

Juniper Research's “Mobility-as-a-Service” forecast suite includes:

  • 7-year benchmark forecasts for:
    • Number of MaaS Users
    • Number of MaaS Journeys
    • Total MaaS Revenue
    • Total Time Savings by Using MaaS
    • Total Private Car Journeys Displaced by MaaS
    • Total Cost Savings by Using MaaS
    • Total Emissions Reduction by Using MaaS
  • Data splits for 8 key global regions and 27 select countries:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • China
    • Colombia
    • Denmark
    • Finland
    • France
    • Germany
    • India
    • Italy
    • Japan
    • Mexico
    • Netherlands
    • Norway
    • Poland
    • Portugal
    • Russia
    • Saudi Arabia
    • South Africa
    • Singapore
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Access to the full set of forecast data of 73 tables and over 28,000 datapoints
  • Interactive Excel Scenario tool allowing users to manipulate Juniper Research's data for 8 different metrics

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side-by-side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

Table of Contents

1. Deep Dive Strategy & Competition

1. MaaS: Market Dynamics

  • 1.1. Introduction
    • 1.1.1. Definitions
  • 1.2. Market Status
    • i. Platform Type
    • ii. Platform Provider
    • iii. Platform User
  • 1.3. Benefits of MaaS
    • 1.3.1. Consumer Benefits
      • i. Cost Savings
      • ii. Personalisation
      • iii. Increased Convenience
        • Figure 1.1: Total Fuel Cost Savings for Consumers by Using Consumer MaaS ($m), Split by 8 Key Regions, 2021-2027
      • iv. Optimised Transport Coverage
    • 1.3.2. Corporate Benefits
      • i. Social Responsibility
      • ii. Improved Cost Management
      • iii. Cost Savings
    • 1.3.3. Societal Benefits
      • i. Increased Safety
      • ii. Reduced Congestion
      • iii. Reduced Environmental Impact
        • Figure 1.2: Total CO2 Reduction from Private Car Journeys Displaced by MaaS (MMT), Split by 8 Key Regions, 2021-2027
  • 1.4. MaaS Drivers
    • 1.4.1. Mobile Ticketing
    • 1.4.2. Business Models
      • i. Subscription Model
      • ii. Ad Hoc Model
    • 1.4.3. Open Data
    • 1.4.4. Smart Cities
      • Figure 1.3: Number of Hours in Congestion Saved by Smart Traffic Management Systems (m), Split by 8 Key Regions, 2020-2025
    • 1.4.5. Government Regulation
  • 1.5. MaaS Challenges
    • 1.5.1. Fragmentation
    • 1.5.2. Motor Insurance
    • 1.5.3. Data Security & User Privacy
    • 1.5.4. Accessibility & Digitisation
    • 1.5.5. Lack of Diverse Solutions
    • 1.5.6. COVID-19

2. MaaS: Market Segments

  • 2.1. Introduction
  • 2.2. Ridesharing
    • 2.2.1. Changes in Infrastructure Required
    • 2.2.2. Potential for Data Collection
    • 2.2.3. Number of Incentives Required
    • 2.2.4. Deployments to Date
    • 2.2.5. Barriers to MaaS Implementation
      • Figure 2.1: Examples of Ridesharing Services, June 2021
  • 2.3. Ticketing
    • 2.3.1. Changes in Infrastructure Required
    • 2.3.2. Potential for Data Collection
    • 2.3.3. Number of Incentives Required
    • 2.3.4. Deployments to Date
    • 2.3.5. Barriers to MaaS Implementation
  • 2.4. Shared Micromobility
    • 2.4.1. Changes in Infrastructure Required
    • 2.4.2. Potential for Data Collection
      • Figure 2.2: Shared Micromobility Ridership in the US, 2010-2019
    • 2.4.3. Number of Incentives Required
    • 2.4.4. Deployments to Date
    • 2.4.5. Barriers to MaaS Implementation
      • Figure 2.3: Examples of Shared Micromobility Services, June 2021
  • 2.5. Autonomous Vehicles
    • 2.5.1. Changes in Infrastructure Required
    • 2.5.2. Potential for Data Collection
    • 2.5.3. Number of Incentives Required
    • 2.5.4. Deployments to Date
    • 2.5.5. Barriers to MaaS Implementation
  • 2.6. Electric Vehicles
    • 2.6.1. Changes in Infrastructure Required
    • 2.6.2. Potential for Data Collection
    • 2.6.3. Number of Incentives Required
    • 2.6.4. Deployments to Date
    • 2.6.5. Barriers to MaaS Implementation
  • 2.7. Demand Responsive Transport
    • 2.7.1. Changes in Infrastructure Required
    • 2.7.2. Potential for Data Collection
    • 2.7.3. Number of Incentives Required
    • 2.7.4. Deployments to Date
    • 2.7.5. Barriers to MaaS Implementation

3. MaaS: Regional Readiness

  • 3.1. Introduction
  • 3.2. Regional Readiness Index
    • 3.2.1. Scoring Criteria
      • Table 3.1: Scoring Criteria for MaaS Regional Readiness Index 2021
      • Table 3.2: MaaS Regional Readiness Index Scoring Summary 2021
      • Figure 3.3: MaaS Regional Readiness Index 2021
      • Table 3.4: Key for MaaS Regional Readiness Index Positioning
  • 3.3. Regional Analysis
    • 3.3.1. North America
      • i. Supporting Ecosystem
        • Table 3.5: Key MaaS Supporting Ecosystem Metrics - North America
      • ii. Existing MaaS Efforts
      • iii. Growth Prospects
        • Table 3.6: Key MaaS Market Forecast Results - North America
    • 3.3.2. Latin America
      • i. Supporting Ecosystem
        • Table 3.7: Key MaaS Supporting Ecosystem Metrics - Latin America
      • ii. Growth Prospects
        • Table 3.8: Key MaaS Market Forecast Results - Latin America
    • 3.3.3. West Europe
      • i. Supporting Ecosystem
        • Table 3.9: Key MaaS Supporting Ecosystem Metrics - West Europe
      • ii. Existing MaaS Efforts
        • Table 3.10: Key MaaS Market Forecast Results - West Europe
      • iii. Growth Prospects
    • 3.3.4. Central & East Europe
      • i. Supporting Ecosystem
        • Table 3.11: Key MaaS Supporting Ecosystem Metrics - Central & East Europe
      • ii. Existing MaaS Efforts
      • iii. Growth Prospects
        • Table 3.12: Key MaaS Market Forecast Results - Central & East Europe
    • 3.3.5. Far East & China
      • i. Supporting Ecosystem
        • Table 3.13: Key MaaS Supporting Ecosystem Metrics - Far East & China
      • ii. Existing MaaS Efforts
      • iii. Growth Prospects
        • Table 3.14: Key MaaS Market Forecast Results - Far East & China
    • 3.3.6. Indian Subcontinent
      • i. Supporting Ecosystem
        • Table 3.15: Key MaaS Supporting Ecosystem Metrics - Indian Subcontinent
      • ii. Existing MaaS Efforts
        • Figure 3.16: Key MaaS Market Forecast Results - Indian Subcontinent
      • iii. Growth Prospects
    • 3.3.7. Rest of Asia Pacific
      • i. Supporting Ecosystem
        • Table 3.17: Key MaaS Supporting Ecosystem Metrics - Rest of Asia Pacific
      • ii. Existing MaaS Efforts
      • iii. Growth Prospects
        • Table 3.18: Key MaaS Market Forecast Results - Rest of Asia Pacific
    • 3.3.8. Africa & Middle East
      • i. Supporting Ecosystem
        • Table 3.19: Key MaaS Supporting Ecosystem Metrics - Africa & Middle East
      • ii. Existing MaaS Efforts
      • iii. Growth Prospects
        • Table 3.20: Key MaaS Market Forecast Results - Africa & Middle East

4. MaaS: Competitive Landscape

  • 4.1. Introduction
  • 4.2. Vendor Assessment
    • 4.2.1. Vendor Assessment Criteria
      • Figure 4.1: Capability Assessment Criteria for MaaS Vendors
      • Figure 4.2: Juniper Research Leaderboard for MaaS Vendors
      • Figure 4.3: Juniper Research Leaderboard Scoring Matrix: Capability & Capacity vs Product & Position
    • 4.2.2. Vendor Groupings
      • i. Established Leaders
      • ii. Leading Challengers
      • iii. Disruptors & Emulators
    • 4.2.3. Limitations & Interpretation
  • 4.3. Vendor Profiles
    • 4.3.1. Citymapper
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.4: Citymapper App
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.2. Cubic Transportation Systems
      • i. Corporate
        • Table 4.5: CTS Financial Snapshot ($m), FY 2018-2020 (FYE 30 September)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.3. Fluidtime
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.4. G+D
      • i. Corporate
        • Table 4.6: G+D Financial Snapshot ($m), FY 2018-2020 (FYE 31 December)
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.5. GoTo Global
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.6. Greenlines Technology
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.7. HERE Technologies
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.8. Karhoo
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.9. MaaS Global
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.10. Masabi
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.11. Mobilleo
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 4.7: Mobilleo App
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.12. Moovit
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
        • Figure 4.8: Moovit's Augmented Reality Function 'Way Finder'
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.13. Ridecell
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.14. Siemens Mobility
      • i. Corporate
        • Table 4.9: Siemens Mobility Financial Snapshot, FY 2018-2020 ($m) (FYE 30th September)
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.15. SkedGo
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 4.3.16. Trafi
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • Endnotes

2. Deep Dive Data & Forecasting

1. MaaS: Introduction & Benefits

  • 1.1. Introduction
    • 1.1.1. Definitions
  • 1.2. Benefits of MaaS
    • 1.2.1. Consumer Benefits
      • i. Cost Savings
      • ii. Personalisation
      • iii. Increased Convenience
      • iv. Optimised Transport Coverage
    • 1.2.2. Corporate Benefits
      • i. Social Responsibility
      • ii. Improved Cost Management
      • iii. Cost Savings
    • 1.2.3. Societal Benefits
      • i. Reduced Congestion
      • ii. Increased Safety
      • iii. Reduced Environmental Impact

2. MaaS: Forecast Summary

  • 2.1. Introduction
  • 2.2. Users & Revenue
    • 2.2.1. Total Number of MaaS Users
      • Figure & Table 2.1: Total Number of MaaS Users (m), Split by 8 Key Regions, 2021-2027
      • Figure 2.2: Total Number of MaaS Users (m), Split by 8 Key Regions, 2027
    • 2.2.2. Total Number of MaaS Journeys
      • Figure & Table 2.3: Total Number of MaaS Journeys (m), Split by 8 Key Regions, 2021-2027
      • Figure 2.4: Total Number of MaaS Journeys (m), Split by 8 Key Regions, 2027
    • 2.2.3. Total MaaS Revenue
      • Figure & Table 2.5: Total MaaS Revenue ($m), Split by 8 Key Regions, 2021-2027
      • Figure 2.6: Total MaaS Revenue ($m), Split by 8 Key Regions, 2027
  • 2.3. Achievable Savings
    • 2.3.1. Total Time Saved by Using MaaS
      • Figure & Table 2.7: Total Time Saved by Using MaaS (Million Hours), Split by 8 Key Regions, 2021-2027
      • Figure 2.8: Total Time Saved by Using MaaS (Million Hours), Split by 8 Key Regions, 2027
    • 2.3.2. Number of Private Car Journeys Displaced by MaaS
      • Figure & Table 2.9: Number of Private Car Journeys Displaced by MaaS (m), Split by 8 Key Regions, 2021-2027
      • Figure 2.10: Number of Private Car Journeys Displaced by MaaS (m), Split by Key Regions, 2027
    • 2.3.3. Total Fuel Cost Savings by Using MaaS
      • Figure & Table 2.11: Total Fuel Cost Savings by Using MaaS ($m), Split by 8 Key Regions, 2021-2027
      • Figure 2.12: Total Fuel Cost Savings by Using MaaS ($m), Split by 8 Key Regions, 2027
    • 2.3.4. Total CO2 Reduction from Private Car Journeys Displaced by MaaS
      • Figure & Table 2.13: Total CO2 Reduction from Private Car Journeys Displaced by MaaS (MMT), Split by 8 Key Regions, 2021-2027
      • Figure 2.14: Total CO2 Reduction from Private Car Journeys Displaced by MaaS (MMT), Split by 8 Key Regions, 2027

3. Consumer MaaS: Market Forecasts

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Users & Revenues Forecast Methodology
    • 3.2.2. Achievable Savings Forecast Methodology
      • Figure 3.1: Consumer MaaS Users & Revenues Forecast Methodology
      • Figure 3.2: Consumer MaaS Achievable Savings Forecast Methodology
  • 3.3. Users & Revenue
    • 3.3.1. Total Number of Consumer MaaS Users
      • Figure & Table 3.3: Total Number of Consumer MaaS Users (m), Split by 8 Key Regions, 2021-2027
    • 3.3.2. Total Number of Consumer MaaS Journeys
      • Figure & Table 3.4: Total Number of Consumer MaaS Journeys (m), Split by 8 Key Regions, 2021-2027
    • 3.3.3. Total Consumer MaaS Revenues
      • Figure & Table 3.5: Total Consumer MaaS Revenue ($m), Split by 8 Key Regions, 2021-2027
  • 3.4. Achievable Savings
    • 3.4.1. Total Time Saved for Consumers by Using Consumer MaaS
      • Figure & Table 3.6: Total Time Saved for Consumers by Using Consumer MaaS (Million Hours), Split by 8 Key Regions, 2021-2027
    • 3.4.2. Total Number of Private Car Journeys Displaced by Consumer MaaS
      • Figure & Table 3.7: Total Number of Private Car Journeys Displaced by Consumer MaaS (m), Split by 8 Key Regions, 2021-2027
    • 3.4.3. Total Fuel Cost Savings for Consumers by Using Consumer MaaS
      • Figure & Table 3.8: Total Fuel Cost Savings for Consumers by Using Consumer MaaS ($m), Split by 8 Key Regions, 2021-2027
    • 3.4.4. Total CO2 Reduction from Private Car Journeys Displaced by Consumer MaaS
      • Figure & Table 3.9: Total CO2 Reduction from Private Car Journeys Displaced by Consumer MaaS (MMT), Split by 8 Key Regions, 2021-2027

4. Corporate MaaS: Market Forecasts

  • 4.1. Introduction
  • 4.2. Forecast Methodology
    • 4.2.1. Users & Revenue Forecast Methodology
    • 4.2.2. Achievable Savings Forecast Methodology
      • Figure 4.1: Corporate MaaS Users & Revenue Forecast Methodology
      • Figure 4.2: Corporate MaaS Achievable Savings Forecast Methodology
  • 4.3. Users & Revenue
    • 4.3.1. Total Number of Corporate MaaS Users
      • Figure & Table 4.3: Total Number of Corporate MaaS Users (000s), Split by 8 Key Regions, 2021-2027
    • 4.3.2. Total Number of Corporate MaaS Journeys
      • Figure & Table 4.4: Total Number of Corporate MaaS Journeys (m), Split by 8 Key Regions, 2021-2027
    • 4.3.3. Total Corporate MaaS Revenue
      • Figure & Table 4.5: Total Corporate MaaS Revenue ($m), Split by 8 Key Regions, 2021-2027
  • 4.4. Achievable Savings
    • 4.4.1. Total Time Saved for Businesses by Using Corporate MaaS
      • Figure & Table 4.6: Total Time Saved for Businesses by Using Corporate MaaS (Million Hours), Split by 8 Key Regions, 2021-2027
    • 4.4.2. Total Number of Private Car Journeys Displaced by Corporate MaaS
      • Figure & Table 4.7: Total Number of Private Car Journeys Displaced by Corporate MaaS (m), Split by 8 Key Regions, 2021-2027
    • 4.4.3. Total Fuel Cost Savings for Businesses by Using Corporate MaaS
      • Figure & Table 4.8: Total Fuel Cost Savings for Businesses by Using Corporate MaaS ($m), Split by 8 Key Regions, 2021-2027
    • 4.4.4. Total CO2 Reduction from Private Car Journeys Displaced by Corporate MaaS
      • Figure & Table 4.9: Total CO2 Reduction from Private Car Journeys Displaced by Corporate MaaS (MMT), Split by 8 Key Regions, 2021-2027