MaaS:ビジネスモデル、ベンダ戦略、市場予測 2022-2027年

出版:Juniper Research(ジュニパーリサーチ) 出版年月:2022年10月

Mobility-as-a-Service: Business Models, Vendor Strategies and Market Forecasts 2022-2027
MaaS:ビジネスモデル、ベンダ戦略、市場予測 2022-2027年

価格 ()GBP3,750
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Juniper Research(ジュニパーリサーチ)は「MaaS:ビジネスモデル、ベンダ戦略、市場予測 2022-2027年  – Mobility-as-a-Service: Business Models, Vendor Strategies and Market Forecasts 2022-2027」のプレスリリースにおいて、MaaSサービス利用により、2027年までに燃料費削減額が108億ドルに達するという予測結果を発表しました。Juniper Researchでは、MaaSプラットフォームの活用で自家用車から公共交通機関への切り替えが進み、渋滞が緩和することで燃料費削減へつながるとみています。

Juniper Research「MaaS:ビジネスモデル、ベンダ戦略、市場予測 2022-2027年  – Mobility-as-a-Service: Business Models, Vendor Strategies and Market Forecasts 2022-2027」はMaaS(Mobility-as-a-Service)市場を調査し、技術、市場成長促進要因、主要ベンダ情報などを掲載しています。

当調査レポートは世界60ヶ国におけるMaaSユーザ数、MaaSでの移動数、MaaS利用によるCO2削減量、MaaSの総収益など、多様なメトリクスによるデータを提供します。

主な掲載内容

  • 市場ダイナミクス
  • 地域別分析
  • Juniper Researchの競合スコアボード:MaaSの主要企業16 社の特性と能力評価
    • Citymapper
    • Cubic Transport
    • Fluidtime
    • GoTo Global
    • Greenlines Technology
    • Here Technology
    • Karhoo
    • MaaS Global
    • Masabi
    • Mobilleo
    • Moovit
    • Ridecell
    • Siemens Mobility
    • SkedGo
    • Trafi
    • Tranzer
  • 産業予測

当レポートは下記疑問への回答につながる情報を提供しています。

  1. 世界の2027年までにMaaS市場価値は
  2. 2027年に市場をリードしているMaaSベンダは?
  3. 市場で優位性を高めるためにどのように対処するか?
  4. MaaSプロバイダが直面する主要課題は?
  5. MaaSベンダにとって最も将来性のある国はどこか?

Report Overview

Juniper Research’s Mobility-as-a-Service report provides a detailed evaluation of the MaaS Mobility-as-a-Service) market, including the adoption of MaaS within both developing and established markets. In addition, this report covers market opportunities; providing strategic insights into the technologies and key drivers that are pushing the space forward, such as convenience and sustainability, as well as the role of 16 leading MaaS vendors across the market.

The research suite also contains a detailed dataset; providing forecasts for 60 countries across a number of different metrics, including the number of MaaS users, number of MaaS journeys, amount of CO2 saved through MaaS and total MaaS revenue.

This research suite comprises of:

  • Strategy & Forecasts (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 Months’ Access to harvest Online Data Platform
Key Market Statistics
Market size in 2022:$20.3bn
Market size in 2027:$92.8bn
2021 to 2027 growth:357%

KEY FEATURES

  • Market Dynamics: A strategic analysis of the major drivers, challenges, and innovations shaping the adoption and development of MaaS technologies, including the following:
    • Technological innovations that are enhancing MaaS, including digital ticketing and electric vehicles.
    • Future strategic direction and market outlook for MaaS, such as increasing accessibility to more diverse user bases.
    • Key issues MaaS vendors must be aware of surrounding data and fragmentation.
  • Regional Analysis: A regional-level analysis of 13 countries, spanning 8 key regions; covering the current deployment level and future outlook of MaaS in each market.
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 16 MaaS vendors:
    • Citymapper
    • Cubic Transport
    • Fluidtime
    • GoTo Global
    • Greenlines Technology
    • Here Technology
    • Karhoo
    • MaaS Global
    • Masabi
    • Mobilleo
    • Moovit
    • Ridecell
    • Siemens Mobility
    • SkedGo
    • Trafi
    • Tranzer
  • Benchmark Industry Forecasts: Forecasts for MaaS, including total number of journeys completed using MaaS, total annual spend on MaaS, total time saved by using MaaS, total fuel cost saving by using MaaS, total CO2 reduction from private car journeys displaced, split by consumers and corporates. Total number of miles travelled through MaaS split by ride hailing, bus, train and metro, micromobility and others. This includes sizing for markets up to 2027; split by our 8 key regions and by the 60 countries listed below:
    • North America:
      • Canada, US
    • Latin America:
      • Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay
    • West Europe:
      • Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, UK
    • Central & East Europe:
      • Croatia, Czech Republic, Hungary, Poland, Romania, Russia, Turkey, Ukraine
    • Far East & China:
      • China, Hong Kong, Japan, South Korea
    • Indian Subcontinent:
      • Bangladesh, India, Nepal, Pakistan
    • Rest of Asia Pacific:
      • Australia, Indonesia, Malaysia, New Zealand, Philippines, Singapore, Thailand, Vietnam
    • Africa & Middle East:
      • Algeria, Egypt, Israel, Kenya, Kuwait, Nigeria, Qatar, Saudi Arabia, South Africa, United Arab Emirates
KEY QUESTIONS ANSWERED
  1. What will the value of the MaaS market globally be by 2027?
  2. Which MaaS vendors are leading the market in 2022?
  3. How can MaaS vendors position themselves in line with MaaS drivers to perform well in the space?
  4. What are the main challenges faced by MaaS providers?
  5. Which countries represent the greatest opportunities for MaaS vendors? What major companies have implemented MaaS? And how have consumers responded?
COMPANIES REFERENCED

Interviewed: Mobilleo, Moovit, Skedgo.

Included in Juniper Research Competitor Leaderboard: Citymapper, Cubic Transportation Systems, Fluidtime, GoTo Global, Greenlines Technology, HERE Technologies, Karhoo, MaaS Global, Masabi, Mobilleo, Moovit, Ridecell, Siemens Mobility, SkedGo, Trafi, Tranzer.

Mentioned: A1 Telekom Austria Group, AccuWeather, Aimsun, AppartCity, Arval, BMW, Booking.com, BP Ventures, Cabonline Technologies AB, Calgary Transit, Capitello Move, Clippers, Compass, Continental, Craft, Deutsche Bahn, Dojo, EMT Valencia, Fareportal, Fatec, FEDA (Forces Elèctriques d’Andorra), Feonix, Flygtaxi, Foursquare, Gertek, Gett, Gig Car Share, Go Card, Goldbeck, Grab, Groupe Renault, Highways England, HTM Personenvervoer NV, Increment P, Jelbi, Jorudan, Kinto, Lifesight, Littlepay, Loki, Lonely Planet, Los Angeles Metro, Lurraldebus, Lyko, Manly Ferries, Mastercard, Mazmobi, Mitsubishi Corporation, Mitsui Fudosan, Mobee Travel, Mobileye, Mobimeo, MOIA, MyCorridor, National Express, NordicNinja VC, OMNY, Opal Card , PlaceIQ, Rejseplanen, RTC, San Francisco Muni, Santa Cruz Metro, SBB, Shagrir Group Vehicle Services , Shebah, SmarTrip, Snap, SnapCar, SNCF, STB, Streetlight Data, TAP, TaxiID, TfL, Thames Clippers, TomTom, Toronto Transit Commission, Toyota, Trainline, Transit App, Transport for Greater Manchester, Transport for New South Wales, Transport Scotland, Trapeze, Trip.com, Tui, UbiGo, Vy, Zenly, Zenrin, ZuriMobil.

DATA & INTERACTIVE FORECAST

Juniper Research’s Mobility-as-a-Service forecast suite includes:

  • Corporates
  • Consumers
  • Ad Hoc
  • Subscription

Metrics include total number of journeys completed using MaaS, total annual spend on MaaS, total time saved by using MaaS, total fuel cost saving by using MaaS, total CO2 reduction from private car journeys displaced, split by consumers and corporates. Total number of miles travelled through MaaS split by ride hailing, bus, train and metro, micromobility and others.

Geographical splits: 60 countries
Number of tables: 108
Number of datapoints: Over 73,000 datapoints

Harvest: Our online data platform, harvest, contains the very latest market data and is updated throughout the year. This is a fully featured platform enabling clients to better understand key data trends and manipulate charts and tables; overlaying different forecasts within the one chart – using the comparison tool. Empower your business with our market intelligence centre, and receive alerts whenever your data is updated.
Interactive Excels (IFxl): Our IFxl tool enables clients to manipulate both forecast data and charts, within an Excel environment, to test their own assumptions using the interactive scenario tool and compare selected markets side by side in customised charts and tables. IFxls greatly increase a client’s ability to both understand a particular market and to integrate their own views into the model.

FORECAST SUMMARY

MaaS will generate fuel cost savings of $10.8 billion by 2027 globally; increasing from $2.8 billion in 2022 – a growth of 282%. These savings will be achieved by MaaS’ ability to reduce congestion by displacing private vehicle usage with public transport over MaaS platforms.

  • Consumers will turn to MaaS, as fuel costs increase globally. Juniper Research’s Urban Mobility Survey found that 41% of respondents ranked the cost of transport as being the most important factor when it comes to transportation. MaaS growth is due not only to MaaS being a cheaper travel alternative, but also to the convenience it provides by offering transportation with planning, purchasing and ticketing combined in a single app.
  • The distance travelled via micromobility, a form of transportation using lightweight vehicles such as bicycles and scooters, is set to grow 780% globally between 2022 and 2027. Micromobility enables users to traverse through highly congested cities for the first and last mile of their journey. The growth will be driven by the increased deployment of micromobility infrastructure, including docking stations, bicycles and scooters.

レポート構成&価格表

フルセット (1と2の全てをご購入の場合)GBP3,750
(1) 動向&戦略調査
  • 市場動向&戦略レポート(PDF)
    Market trends & strategies report
GBP 1,990
  • 競合スコアボードレポート(PDF)
    Competitor leaderboard report
GBP 1,990
(2) 市場規模&予測GBP 2,990
  • 市場データ・予測・分析レポート(PDF)
    Market data, forecasts and analysis report (pdf)
  • 市場データ・予測・インタラクティブデータ(Excel)
    Market data, forecasts and interactivity (xls)
  • 四半期アップデート:市場データ&予測(PDF&Excel&オンラインアクセス)
    Quarterly updates to market data & forecasts (pdf, xls, online access)
  • 最新データへの12ヶ月アクセス
    harvest market data platform (12 months’ online access)

[プレスリリース]

FUEL COST SAVINGS FROM MOBILITY-AS-A-SERVICE USE TO REACH $10.8 BILLION BY 2027; DRIVEN BY RISING COST OF PRIVATE VEHICLES

Hampshire, UK – 3rd October 2022: A new study from Juniper Research found that MaaS (Mobility‑as‑a‑Service) will generate fuel cost savings of $10.8 billion by 2027 globally; increasing from $2.8 billion in 2022 – a growth of 282%. The research anticipates these savings will be achieved by MaaS’ ability to reduce congestion by displacing private vehicle usage with public transport over MaaS platforms.

MaaS platforms provide consumer urban transport solutions, such as ride hailing, bus and metro, integrated into a single platform.

Find out more about the related research: The Urban Mobility Survey 2022 – UK & US: Key Findings, Consumer Attitudes & Future Outlook

Increase in Private Vehicle Fuel Costs Driving Growth

The research predicts that consumers will turn to MaaS, as fuel costs increase globally. Juniper Research’s Urban Mobility Survey found that 41% of respondents ranked the cost of transport as being the most important factor when it comes to transportation. MaaS growth is due not only to MaaS being a cheaper travel alternative, but also to the convenience it provides by offering transportation with planning, purchasing and ticketing combined in a single app.

Furthermore, the report predicts that CO2 reduction from private car journeys displaced is also fuelling the growth of MaaS. Research author Cara Malone remarked “MaaS has the ability to improve corporate social responsibility, as a result, MaaS vendors must appeal to companies by demonstrating how MaaS can significantly reduce their carbon emissions from travel.”

Micromobility Set for Strong Growth

The research anticipates that the distance travelled via micromobility, a form of transportation using lightweight vehicles such as bicycles and scooters, is set to grow 780% globally between 2022 and 2027. Micromobility enables users to traverse through highly congested cities for the first and last mile of their journey. The growth will be driven by the increased deployment of micromobility infrastructure, including docking stations, bicycles and scooters.

Juniper Research provides research and analytical services to the global hi-tech communications sector; providing consultancy, analyst reports, and industry commentary.



目次 ※フルセット(GBP3,750)の目次抜粋です。

1. Market Trends & Strategies

1. Key Takeaways & Strategic Recommendations

1.1 Key Takeaways ………….5
1.2 Strategic Recommendations ……….6

2. Future Market Outlook

2.1 Introduction…………..8
2.1.1 Definitions………….8
Figure 2.1: Visualisation Showing MaaS Integration Levels……8
2.2 Overview of MaaS Ecosystem …………9
2.2.1 Platform Type ……………9
i. Journey Planning …………9
ii. Journey Planning and Booking………9
iii. Journey Planning, Booking and Ticketing ……9
2.2.2 Platform Operator…………9
i. MaaS Vendors………..10
ii. Technology Providers……….10
iii. Public Operators………….10
iv. Private Operators ………..10
2.2.3 Platform User…………..10
i. Consumer MaaS ………..10
ii. Corporate MaaS………..10
2.3 Benefits of MaaS…………10
2.3.1 Consumer Benefits …………10
i. Cost Savings …………..10
Figure 2.2: Total Fuel Cost Savings for Consumers by Using Consumer MaaS ($m), Split by 8 Key Regions, 2022-2027………. 11
ii. Personalisation………… 11
iii. Convenience ……….. 11
Figure 2.3: Total Time Savings for Consumers by Using Consumer MaaS (Million Hours), Split by 8 Key Regions ………..12
iv. Transport Coverage ……….. 12
v. Accessibility………….. 12
2.3.2 Corporate Benefits ………… 12
i. Social Responsibility ………… 12
ii. Improved Cost Management……… 13
iii. Cost Savings………… 13
iv. Personalisation……….. 13
Figure 2.4: Visualisation of Features and Functionality Provided by Citymapper ………………13
2.3.3 Societal Benefits…………. 13
i. Increased Safety……….. 13
ii. Reduced Congestion……….. 14
iii. Reduced Environmental Impact……….. 14
iv. Increase in Urban Real Estate……….. 14
2.4 MaaS Challenges …………… 14
2.4.1 Fragmentation………… 14
2.4.2 Motor Insurance ………… 15
2.4.3 Data Security and User Privacy …….. 15
2.4.4 Accessibility & Digitisation…….. 15
2.4.5 Lack of Diverse Solutions………. 16
2.4.6 Legislation…………… 16
2.4.7 Business Models ………… 16
Figure 2.5: Visualisation of MaaS Payment Methods……17
i. Subscription Model ……….17
ii. Ad Hoc Model………..17
2.5 MaaS Drivers …………..18
2.6 Future Technologies in MaaS ………..21
2.6.1 Autonomous Vehicles…………21
Figure 2.9: Visualisation of Adoption of Autonomous Vehicles….. 22
i. Concerns Surrounding Autonomous Vehicles……22
2.6.2 Artificial Intelligence………..22
2.6.3 Machine Learning………..22

3. Market Segments

3.1 Introduction…………24
Figure 3.1: Visualisation of Segments in MaaS ……. 24
3.2 Ride Sharing ……………24
3.2.1 Changes in Infrastructure Required………25
3.2.2 Drawbacks of Implementing Ride Sharing in MaaS …….25
3.2.3 Potential for Data Collection………25
3.2.4 Deployments to Date………….25
3.2.5 Barriers to MaaS Implementation……..25
Figure 3.2: Examples of Ride Sharing Services, July 2022…… 26
3.3 Ticketing…………..27
3.3.1 Changes to Infrastructure Required ……..27
3.3.2 Potential for Data Collection………27
3.3.3 Number of Incentives Required ………..27
3.3.4 Deployment to Date………..27
3.3.5 Barriers to MaaS Implementation……..27
3.4 Shared Micromobility…………28
Figure 3.3: Visualisation Showing Willing Micromobility Usage…. 28
3.4.1 Changes to Infrastructure Required ……..28
3.4.2 Potential for Data Collection………28
3.4.3 Number of Incentives Required……….. 28
3.4.4 Deployment to Date ………. 28
3.4.5 Barriers to MaaS Implementation ……….. 29
Figure 3.4: Examples of Shared Micromobility Services, July 2022 …….30
3.5 Autonomous Vehicles……….. 31
3.5.1 Changes to Infrastructure Required…….. 31
Figure 3.5: Figure Displaying Regions where Autonomous Vehicles are Permitted (including for on-road testing) ……….31
3.5.2 Potential for Data Collection …….. 32
3.5.3 Number of Incentives Required……….. 32
3.5.4 Deployment to Date ………. 32
3.5.5 Barriers to MaaS Implementation ……….. 32
3.6 Electric Vehicles …………. 33
3.6.1 Changes to Infrastructure Required…….. 33
Figure 3.6: EV Charging Segments………….34
3.6.2 Potential for Data Collection …….. 34
3.6.3 Number of Incentives Required……….. 34
3.6.4 Deployment to Date ………. 35
3.6.5 Barriers to MaaS Implementation ……….. 35
3.7 Demand-responsive Transport ……….. 35
3.7.1 Changes to Infrastructure Required…….. 35
3.7.2 Potential for Data Collection …….. 35
3.7.3 Number of Incentives Required……….. 35
3.7.4 Deployment to Date ………. 35
3.7.5 Barriers to MaaS Implementation ……….. 36

4. Regional Analysis

4.1 Introduction…………… 38
4.1.1 North America………… 38
i. US…………… 38
ii. Canada …………. 38
Figure 4.1: Total Number of MaaS Journeys (m), split by 8 Key Regions, 2022-2027…………….. 39
4.1.2 Latin America…………..39
i. Brazil …………..39
4.1.3 West Europe…………40
i. Finland ……………40
ii. France ……………41
iii. Netherlands………….41
iv. UK………….42
Figure 4.2: Total Number of Consumer MaaS Users (m), Split by 8 Key Regions, 2022-2027…………… 43
4.1.4 Central & East Europe…………43
i. Poland…………43
ii. Turkey ……………44
4.1.5 Indian Subcontinent………..44
i. India ……………44
4.1.6 Far East & China ………….45
i. South Korea……………45
ii. Japan ………….45
4.1.7 Rest of Asia Pacific……….45
i. Australia………….45
4.1.8 Africa & Middle East………..46
i. South Africa……………46
Figure 4.3: Total Number of MaaS Users (m), Split by Regions, 2022-2027 …. 47

2. Competitor Leaderboard

1. Competitor Leaderboard and Vendor Profiles

Table 1.1: Juniper Research Competitor Leaderboard: Mobility-as-a-Service
Vendors Included & Product Portfolio……..5
Figure 1.2: Juniper Research Leaderboard: Mobility-as-a-Service Vendors….6
Table 1.3: Juniper Research Leaderboard: Mobility as a Service Vendors &
Positioning ……………..6
Table 1.4: Juniper Research Leaderboard Heatmap: Mobility-as-a-Service …7
1.1 Mobility as a Service Vendor Profiles ……..8
1.1.1 Citymapper ……………8
i. Corporate Information ……….8
ii. Geographic Spread…………8
iii. Key Clients & Strategic Partnerships ……8
iv. High-level View of Offerings ……..8
Figure 1.5: Citymapper App ………….9
v. Juniper Research’s View: Key Strengths & Strategic Opportunities…..9
1.1.2 Cubic Transportation Systems……..9
i. Corporate Information ……….9
ii. Geographic Spread…………9
iii. Key Clients & Strategic Partnerships……9
iv. High-level View of Offerings ……….10
Figure 1.6: Three Main Drivers of MaaS ………. 10
v. Juniper Research’s View: Key Strengths & Strategic Opportunities…11
1.1.3 Fluidtime…………..11
i. Corporate Information …………11
ii. Geographic Spread……….11
iii. Key Clients & Strategic Partnerships ……..11
iv. High-level View of Offerings………. 12
Figure 1.7: User Interface for Fluidhub………12
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 12
1.1.4 GoTo Global………… 13
i. Corporate Information………… 13
ii. Geographic Spread …………. 13
iii. Key Clients & Strategic Partnerships ……. 13
iv. High-level View of Offerings………. 13
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 13
1.1.5 Greenlines Technology …………. 14
i. Corporate Information………… 14
ii. Geographic Spread …………. 14
iii. Key Clients & Strategic Partnerships ……. 14
iv. High-level View of Offerings………. 14
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 14
1.1.6 HERE Technologies ………… 15
i. Corporate Information………… 15
ii. Geographic Spread …………. 15
iii. Key Clients & Strategic Partnerships ……. 15
iv. High-level View of Offerings………. 15
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 16
1.1.7 Karhoo…………. 17
i. Corporate Information………… 17
ii. Geographic Spread …………. 17
iii. Key Clients & Strategic Partnerships ……. 17
iv. High-level View of Offerings………. 17
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 17
1.1.8 MaaS Global…………18
i. Corporate Information …………18
ii. Geographic Spread……….18
iii. Key Clients & Strategic Partnerships ……..18
iv. High-level View of Offerings ……….18
v. Juniper Research’s View: Key Strengths & Strategic Opportunities…18
1.1.9 Masabi ………….19
i. Corporate Information …………19
ii. Geographic Spread……….19
iii. Key Clients & Strategic Partnerships ……..19
iv. High-level View of Offerings ……….19
v. Juniper Research’s View: Key Strengths & Strategic Opportunities…20
1.1.10 Mobilleo………….20
i. Corporate Information …………20
ii. Geographic Spread……….20
iii. Key Clients & Strategic Partnerships ……..20
iv. High-level View of Offerings ……….21
Figure 1.8: Visualisation of Mobilleo App …….. 21
v. Juniper Research’s View: Key Strengths & Strategic Opportunities…21
1.1.11 Moovit…………21
i. Corporate Information …………21
ii. Geographic Spread……….22
iii. Key Clients & Strategic Partnerships ……..22
iv. High-level View of Offerings ……….22
Figure 1.9: Moovit’s Process for Users ……… 23
v. Juniper Research’s View: Key Strengths & Strategic Opportunities…23
1.1.12 Ridecell …………..23
i. Corporate Information …………23
ii. Geographic Spread……….23
iii. Key Clients & Strategic Partnerships……..23
iv. High-level View of Offerings………. 23
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 24
1.1.13 Siemens Mobility …………. 24
i. Corporate………….. 24
ii. Geographic Spread …………. 25
iii. Key Clients & Strategic Partnerships ……. 25
iv. High-level View of Offerings………. 25
Figure 1.10: Visualisation of Siemens MaaS ……..26
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 26
1.1.14 SkedGo………….. 26
i. Corporate Information………… 26
ii. Geographic Spread …………. 26
iii. Key Clients & Strategic Partnerships ……. 26
iv. High-level View of Offerings………. 27
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 27
1.1.15 Trafi …………… 27
i. Corporate Information………… 27
ii. Geographic Spread …………. 28
iii. Key Clients & Strategic Partnerships ……. 28
iv. High-level View of Offerings………. 28
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 28
1.1.16 Tranzer………….. 28
i. Corporate Information………… 28
ii. Geographic Spread …………. 29
iii. Key Clients & Strategic Partnerships ……. 29
iv. High-level View of Offerings………. 29
v. Juniper Research’s View: Key Strengths & Strategic Opportunities .. 29
1.2 Juniper Research Leaderboard Assessment Methodology…… 30
1.2.1 Limitations & Interpretations ……….. 30
Table 1.11: Juniper Research Competitor Leaderboard Scoring Criteria …..31

3. Data & Forecasting

1. Introduction and Market Summary

1.1 Introduction…………..4
1.1.1 Definitions………….4
Figure 1.1: Visualisation Showing MaaS Integration Levels……4

2. Forecast Summary

2.1 Introduction…………..7
2.2 Users & Revenue…………..7
2.2.1 Total Number of MaaS Users……….7
Figure & Table 2.1: Total Number of MaaS Users (m), Split by 8 Key Regions 2022-2027…………..7
2.2.2 Total Number of MaaS Journeys ……..8
Figure & Table 2.2: Total Number of MaaS Journeys (m), Split by 8 Key Regions, 2022-2027…………..8
2.2.3 Total MaaS Revenue …………9
Figure & Table 2.3: Total MaaS Revenue ($m), Split by 8 Key Regions, 2022-2027…9
2.3 Achievable Savings …………10
2.3.1 Total Time Saved by Using MaaS……….10
Figure & Table 2.4: Total Time Saved by Using MaaS (Million Hours), Split by 8 Key Regions, 2022-2027 ………… 10
2.3.2 Number of Private Car Journeys Displaced by MaaS…..11
Figure & Table 2.5: Number of Private Car Journeys Displaced by MaaS (m), Split by 8 Key Regions, 2022-2027 ………… 11
2.3.3 Total Fuel Cost Savings by Using MaaS …….12
Figure & Table 2.6: Total Number of Corporate MaaS Journeys (m), Split by 8 Key Regions, 2022-2027 …………… 12
2.3.4 Total CO2 Reduction from Private Car Journeys Displaced by MaaS …13
Figure & Table 2.7: Total CO2 Reduction from Private Car Journeys Displaced by MaaS (MMT), Split by 8 Key Regions, 2022-2027………13
2.4 Miles Travelled Through MaaS ………… 14
2.4.1 Total Number of Miles Travelled Through MaaS ……. 14
Figure & Table 2.8: Total Number of Miles Travelled Through MaaS, Split by 5 Modes of Transport, 2022-2027…………14

3. Consumer MaaS Market Forecasts

3.1 Introduction…………… 16
3.2 Forecast Methodology………. 16
3.2.1 Users & Revenue Forecast Methodology…….. 16
3.2.2 Achievable Savings Forecast Methodology……… 16
3.2.3 Miles Travelled Through Different Transportation Modes Within MaaS Forecast Methodology………… 17
Figure 3.1: Consumer MaaS Users & Revenue Forecast Methodology..18
Figure 3.2: Consumer MaaS Achievable Savings Forecast Methodology ..19
Figure 3.3: Consumer Miles Travelled Through the Modes of MaaS…..20
3.3 Users & Revenue…………… 21
3.3.1 Total Number of Consumer MaaS Users…….. 21
Figure & Table 3.4: Total Number of Consumer MaaS Users (m), Split by 8 Key Regions, 2022-2027 …………21
3.3.2 Total Number of Consumer MaaS Journeys……. 22
Figure & Table 3.5: Total Number of Consumer MaaS Journeys (m), Split by 8 Key Regions, 2022-2027 …………22
3.3.3 Total Consumer MaaS Revenue……….. 23
Figure & Table 3.6: Total Consumer MaaS Revenue ($m), Split by 8 Key Regions, 2022-2027…………….23
3.4 Achievable Savings………… 24
3.4.1 Total Time Saved for Consumers by Using Consumer MaaS …24
Figure & Table 3.7: Total Time Saved for Consumers by Using Consumer MaaS
(Million Hours), Split by 8 Key Regions, 2022-2027 …….. 24
3.4.2 Total Number of Private Car Journeys Displaced by Consumer MaaS 25
Figure & Table 3.8: Total Number of Private Car Journeys Displaced by Consumer MaaS (m), Split by 8 Key Regions, 2022-2027 …… 25
3.4.3 Total Fuel Cost Savings for Consumers by Using Consumer MaaS …..26
Figure & Table 3.9: Total Fuel Cost Saving for Consumers by Using Consumer MaaS ($m), Split by 8 Key Regions, 2022-2027……. 26
3.4.4 Total CO2 Reduction from Private Car Journeys Displaced by Consumer MaaS …………..27
Figure & Table 3.10: Total CO2 Reduction from Private Car Journeys Displaced by Consumer MaaS (MT CO2e), Split by 8 Key Regions, 2022-2027……. 27
3.5 Total Miles Travelled Through Consumer MaaS……..28
Figure & Table 3.11: Total Miles Travelled Through MaaS Consumers (Miles), Split by 5 Modes of Transport, 2022-2027………. 28

4. Corporate MaaS Market Forecast

4.1 Introduction…………30
4.2 Forecast Methodology ……….30
4.2.1 Users & Revenue Forecast Methodology ……..30
4.2.2 Achievable Savings Forecast Methodology ………30
4.2.3 Miles Travelled Through Different Transportation Modes Within MaaS Forecast Methodology …………30
Figure 4.1: Corporate MaaS Users & Revenue Forecast Methodology ….. 32
Figure 4.2: Corporate MaaS Achievable Savings Forecast Methodology ….. 33
Figure 4.3: Corporate Miles Travelled Through the Modes of MaaS …. 34
4.3 Users & Revenue…………35
4.3.1 Total Number of Corporate MaaS Users………35
Figure & Table 4.4: Total Number of Corporate MaaS Users (000s), Split by 8 Key Regions, 2022-2027 …………… 35
4.3.2 Total Number of Corporate MaaS Journeys……..36
Figure & Table 4.5: Total Number of Corporate MaaS Journeys (m), Split by 8 Key Regions, 2022-2027 …………36
4.3.3 Total Corporate MaaS Revenue ……….. 37
Figure & Table 4.6: Total Corporate MaaS Revenue ($m), Split by 8 Key Regions, 2022-2027…………….37
4.4 Achievable Savings………… 38
4.4.1 Total Time Saved for Businesses by Using Corporate MaaS…. 38
Figure & Table 4.7: Total Time Saved for Businesses by Using Corporate MaaS (Million Hours), Split by 8 Key Regions, 2022-2027………38
4.4.2 Total Number of Private Car Journeys Displaced by Corporate MaaS 39
Figure & Table 4.8: Total Number of Private Car Journeys Displaced by Corporate MaaS (m), Split by 8 Key Regions, 2022-2027 …….39
4.4.3 Total Fuel Cost Savings for Businesses by Using Corporate MaaS.. 40
Figure & Table 4.9: Total Fuel Cost Savings for Businesses by Using Corporate MaaS ($m), Split by 8 Key Regions, 2022-2027……..40
4.4.4 Total CO2 Reduction from Private Car Journeys Displaced by Corporate MaaS …………….. 41
Figure & Table 4.10: Total CO2 Reduction from Private Car Journeys Displaced by  Corporate MaaS (MT CO2e), Split by 8 Key Regions, 2022-2027….41
4.5 Miles Travelled Through the Different Modes of Transport in MaaS ….. 42
4.5.1 Total Miles Travelled Through Corporate MaaS …. 42
Figure & Table 4.11: Total Miles Travelled Through Corporate (Million Miles), Split by 5 Modes of Transport, 2022-2027………..42


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