市場調査レポート
商品コード
1365857

MaaS (Mobility-as-a-Service) の世界市場:2023-2028年

Global Mobility-as-a-Service Market 2023-2028

出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

価格
価格表記: GBPを日本円(税抜)に換算
本日の銀行送金レート: 1GBP=194.37円
MaaS (Mobility-as-a-Service) の世界市場:2023-2028年
出版日: 2023年10月16日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

MaaS (Mobility-as-a-Service) の利用者数は、2023年の1,730万人から、予測期間中は33.6%のCAGRで推移し、2028年には7,370万人に達すると予測されています。

予測期間を通じてもっとも著しい成長を遂げる地域は北米であり、都市モビリティソリューションと公共交通機関への投資の拡大に加え、国全体のライドヘイリングサービスの強固なネットワークがMaaSソリューションの利用拡大に大きく貢献しています。その結果、2023年から2028年の総成長率は608%に達し、予測期間のCAGRは48%となっています。

2番目に大きな成長を遂げる地域は西欧で、合計成長率は419%、CAGRは39%です。この成長率は十分に高いですが、すでに多くの確立されたMaaSサービスが存在しているため、北米の成長率よりも低くくなっています。MaaSの総ユーザー数を評価すると、西欧のMaaS総ユーザー数は北米の134%を示しています。

主要市場統計

2023年の市場規模 311億米ドル
2028年の市場規模 1,441億米ドル
2023年から2028年の成長率 363%

当レポートでは、世界のMaaS (Mobility-as-a-Service) の市場を調査し、市場概要、MaaSのエコシステム、ビジネスモデル、メリットと課題、セグメント分析、主要国の準備レベル、ユーザー数・収益などの推移・予測、各種区分別の内訳、競合情勢、競合リーダーボード、主要企業のプロファイルなどをまとめています。

本調査パッケージの構成:

  • 市場動向と戦略 (PDF)
  • 競合リーダーボード (PDF)
  • データ・予測 (PDF)
  • 5カ年市場規模・予測スプレッドシート (Excel)
  • オンラインデータプラットフォームへの12カ月のアクセス

目次

市場動向と戦略

第1章 重要ポイントと戦略的推奨事項

第2章 市場情勢

  • MaaSエコシステム
    • プラットフォームのタイプ
    • プラットフォームオペレーター
    • プラットフォームユーザー
  • ビジネスモデル
    • サブスクリプションモデル
    • アドホックモデル
  • 利点
    • 消費者の利益
    • 企業向け向け特典
    • 社会的利益
  • 課題
  • 主要動向・推進因子
  • MaaSにおける将来の技術

第3章 セグメント分析

  • ライドシェアリング
  • 発券
  • シェアードマイクロモビリティ
  • 自動運転車
  • 電気自動車
  • 需要応答輸送
    • 必要とされるインフラ変更
    • 必要とされるインセンティブ
    • これまでの展開
    • MaaS導入の障壁、など

第4章 各国の準備指数と地域分析

  • 地域分析
    • 北米
    • ラテンアメリカ
    • 西欧
    • 中欧・東欧
    • 極東・中国
    • インド亜大陸
    • その他のアジア太平洋地域
    • アフリカ・中東
  • 国別の機会:ヒートマップ分析

競合リーダーボード

第1章 競合リーダーボード

  • 本書の利点
  • ベンダープロファイル
    • Axon Vibe
    • Citymapper
    • Cubic Transportation Systems
    • Fluidtime
    • GoTo Global
    • HERE Technologies
    • Iomob
    • Karhoo
    • MaaS Global
    • Masabi
    • Meep
    • Mobilleo
    • Moovit
    • Ridecell
    • Siemens Mobility
    • SkedGo
    • Trafi
    • Tranzer
  • 評価手法

データ・予測

第1章 予測概要

  • ユーザー数・収益
    • MaaSのユーザー総数
    • MaaSによる移動総数
    • MaaSの総収益
  • 達成可能な節約
    • MaaSにより達成できた節約時間
    • MaaSが代替した自家用車による移動数
    • MaaSにより削減できた燃料費
    • MaaSの自家用車の代替によるCO2総削減量
  • MaaSによる移動距離

第2章 消費者向けMaaS市場の予測

  • 予測手法
  • ユーザー数・収益
    • MaaSのユーザー総数
    • MaaSによる移動総数
    • MaaSの総収益
  • 達成可能な節約
    • MaaSにより達成できた節約時間
    • MaaSが代替した自家用車による移動数
    • MaaSにより削減できた燃料費
    • MaaSの自家用車の代替によるCO2総削減量
    • MaaSによる移動距離

第3章 企業向けMaaS市場の予測

  • 予測調査手法
  • ユーザー数・収益
    • MaaSのユーザー総数
    • MaaSによる移動総数
    • MaaSの総収益
  • 達成可能な節約
    • MaaSにより達成できた節約時間
    • MaaSが代替した自家用車による移動数
    • MaaSにより削減できた燃料費
    • MaaSの自家用車の代替によるCO2総削減量
  • MaaSによる移動距離
目次

REPORT OVERVIEW

Juniper Research's latest “Mobility-as-a-Service ” research provides an expansive overview of the adoption and use of MaaS (Mobility-as-a-Service) across the globe. It includes strategic recommendations for MaaS enablers, such as transport service operators, providers, and stakeholders affiliated with MaaS, as well as comprehensive 5-year forecasts for MaaS revenue, volume of users, volume of journeys, and potential savings due to the introduction and use of MaaS. Additionally, these 5-year forecasts provide key market splits for consumer MaaS and corporate MaaS, with further forecasts detailing the distance travelled through MaaS, split by transport mode.

Furthermore, Juniper Research's Competitor Leaderboard, featuring an in depth evaluation of 18 major MaaS vendors, positions key market stakeholders seeking to understand the competitive landscape in this highly complex market. It uses a combination of quantitative and qualitative scoring criteria to provide vendor positioning for the market's key players.

In addition, Juniper Research also comprises an assessment of the market and the factors impacting it. These assessments include:

  • Benefits and barriers to MaaS.
  • The key trends driving the MaaS market.
  • The role of innovative technologies for MaaS.
  • An in-depth assessment of six different segments within the market, including autonomous vehicles, electric vehicles, ride-sharing and ride-hailing services, and demand mobility services.
  • A Country Readiness Index, with further in-depth examination of 16 countries' MaaS markets.

This research suite includes:

  • Market Trends & Strategies (PDF)
  • Competitor Leaderboard (PDF)
  • Data & Forecasting (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 Months' Access to harvest Online Data Platform

Key Market Statistics

Market size in 2023:$31.1bn
Market size in 2028:$144.1bn
2023 to 2028 growth:363%

KEY FEATURES

  • Strategic Opportunities & Trends: The report provides a comprehensive market assessment discussing key market trends impacting the effectiveness and value proposition of the Mobility-as-a-Service market, as well as an in-depth evaluation of the future growth of the market and readiness for further disruption. This enables readers to understand the critical innovations and develop market opportunities.
  • Country Readiness Index: Comprehensive coverage featuring country-level market analysis on the future of the market in a select 60 countries, split by 8 key regions; thoroughly analysing each country's potential success in the MaaS market, with recommendations for future growth, paired with supplementary 5-year forecast data. The 8 key regions include:
    • North America
    • Latin America
    • West Europe
    • Central & East Europe
    • Far East & China
    • Indian Subcontinent
    • Rest of Asia Pacific
    • Africa & Middle East
  • Juniper Research Competitor Leaderboard: This competitive landscape will provide a key player capability and capacity assessment for 18 Mobility-as-a-Service market players; positioning them as either an established leader, leading challenger, or disruptor and challenger. The vendors include those that offer a wide range of services, such as mobile applications, navigation solutions, integration of transportation modes in a single platform, and more. The Competitor Leaderboard scores these major companies on a number of criteria, including their size of operations in the space, their extent and breadth of market partnerships, sophistication of their platforms, and Juniper Research's view on each company's innovation and future business prospects. The companies included in Juniper Research's Mobility-as-a-Service Competitor Leaderboard are:
    • Axon Vibe
    • Citymapper, Ltd.
    • Cubic Transportation Systems
    • Fluidtime
    • GoTo Global
    • HERE Technologies
    • Iomob
    • Karhoo
    • MaaS Global
    • Masabi
    • Meep
    • Mobilleo
    • Moovit Inc.
    • Ridecell
    • Siemens Mobility
    • SkedGo
    • Trafi
    • Tranzer
  • Benchmark Industry Forecasts: Provides 5-year forecasts for MaaS activities including total users of MaaS solutions, total number of journeys made through MaaS, MaaS revenue, and savings for fuel cost, travelling time, and carbon emissions due to MaaS, all split between consumer MaaS and corporate MaaS solutions. Additional forecasts relating to the distance travelled through MaaS are included, split by transport mode. Metrics are split by our 8 key forecast regions and 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 be globally by 2028?
  • 2. Which MaaS vendors are leading the market in 2023?
  • 3. How can MaaS vendors position themselves in line with the actors influencing MaaS 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 countries have implemented MaaS? And how have consumers responded?

COMPANIES REFERENCED

  • Interviewed: Cubic Transportation Systems, Meep, Ridecell, Siemens Mobility, SkedGo, Trafi.
  • Included in Juniper Research Competitor Leaderboard: Axon Vibe, Citymapper, Cubic Transportation Systems, Fluidtime, GoTo Global, HERE Technologies, Iomob, Karhoo, MaaS Global, Masabi, Meep, Mobilleo, Moovit, Ridecell, Siemens Mobility, SkedGo, Trafi, Tranzer.
  • Mentioned: AAA NCNU, Accor, Activate Capital, Addison Lee, Adyen, Alibaba Group, Amadeus, Amazon, AMZS, Arriva, Arval, AT&T, Audi, BART, Beck's Coffee Shop, Bird, BMW i., BNP Paribas, Bolt, Booking.com, Bosch, Breeze, Brompton, Brunel, Busitalia Sita Nord, Capitello Move, Citi Bike, Citybee, Cityway, CMAC, Connexxion, Continental, COTA, CTC, Daimler, Denso, Deutsche Bahn, DIMP, Eau Claire Transit, EBS, Endoxon, Enterprise, Etihad Rail, Eurostar, EZfare, felyx, Feonix - Mobility Rising, Fire Island Ferries, First Transit, Floya, Fort Ross Ventures, FREE NOW, Fujitsu, Gaiyo, Gett, GIG Car Share, goodride, Google, GoTur, Groupon, Haulmont, Helbiz, HERE, Hermes, Hitachi, HITRANS, Hotelzon, HSL (Helsingin Seuden Liikenne), HTM, iCabbi, Indra, Intel, Iteris, ITLS Sydney, ito World, ITS Australia, Jorudan, JR East, Kakao, Karhoo, King Bus, KOI Technologies, LG, Lightricks, Lime, LIRR, LISNR, Lítačka, LNER (London North Eastern Railway) , Lyft, MaaS Alliance, MARTA, Mastercard, May Mobility, Metrolinx, Metro-North Railroad, Miccolis, Micello, Microsoft, Miles, Minicabit, Mitsubishi, MobiLab, Mobileye, mobiliteit.lu, Move, Muni, Mystifly, Mwasalat Misr, National Express, National Transport for Ireland, NewDays, nextbike, NJ Transit, nmi, Norikae Annai, NorthLink Ferries, OUNO, Pioneer, PON, Premier Inn, Q-Park, Raileasy, RateHawk, Rejseplanen, Renfe, Roaring Fork Transportation, RTD, Shotl, Simplr, Sixt, SIXT ride, SK Telecom, Smartvel, Smartzi, SNCF, Sojo, Solasta Ventures, Solent Transport, Sony Innovation Fund, SPARK, Stagecoach, Station Work, Suntransfers, Susisiekimo Paslaugos, Tencent, Ticketer, Tier, T-Mobile, TomTom, Toyota, Trainline, Transport for Greater Manchester, Transport for London, Transport for NSW, Transport for West Midlands, Travelodge, Travelport, trentbarton, TriMet, Turisme de Barcelona, Uber, UbiGo, UITP, Unicard, Verizon, VIA Metropolitan Transit, Via Transportation, Vix, Vodafone, Voi, W, Wanderu, Waterbus, What 3 Words, Whim, Whoosh, Zoox.

DATA & INTERACTIVE FORECAST

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

The “Mobility-as-a-Service ” forecast suite includes 5-year forecasts for this market, split by consumer versus consumer, and transportation modes. The forecasts include the following:

  • Total MaaS Users
  • Total MaaS Journeys
  • Total MaaS Revenue
  • Total Time Saved by Using MaaS
  • Number of Private Car Journeys Displaced by MaaS
  • Fuel Cost Savings by MaaS
  • Total CO2 Emissions Reduction Due to MaaS
  • Total Number of Miles Travelled Through MaaS

Geographical Splits: 60 countries

Number of Tables: 107

Number of datapoints: Over 48,800 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 get alerted 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 to compare selected markets side by side in customised charts and tables. IFxls greatly increase a clients' ability to both understand a particular market and to integrate their own views into the model.

FORECAST SUMMARY

  • We expect that the number of people using MaaS will reach 73.7 million in 2028, up from 17.3 million in 2023. This is a CAGR of 33.6% across the forecast period.
  • The region with the most significant growth across the forecast period is North America; greater investment in urban mobility solutions and public transport in addition to a robust network of ride-hailing services across the country contribute heavily to the increased uptake in MaaS solutions. As a result, the total growth from 2023-2028 is 608%, with a CAGR of 48% across the forecast period.
  • The region with the second greatest growth is West Europe, with a total growth of 419%, a CAGR of 39%. This growth is still significant, but lower than the North American rate due to many established MaaS services already existing. When assessing the total MaaS user numbers, the total number of MaaS users in West Europe is 134% the number of North America.

Table of Contents

Market Trends & Strategies

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Market Landscape

  • 2.1. Introduction
    • 2.1.1. Definitions
      • Figure 2.1: Visualisation Showing MaaS Integration Levels
  • 2.2. The MaaS Ecosystem
    • 2.2.1. Platform Type
      • i. Journey Planning
      • ii. Journey Planning & Booking
      • iii. Journey Planning, Booking, & Ticketing
    • 2.2.2. Platform Operator
      • i. MaaS Vendors
      • ii. Technology Providers
      • iii. Public Operators
      • iv. Private Operators
    • 2.2.3. Platform User
      • i. Consumer MaaS
      • ii. Corporate MaaS
  • 2.3. Business Models
    • 2.3.1. Subscription Model
    • 2.3.2. Ad Hoc Model
  • 2.4. Benefits
    • 2.4.1. Consumer Benefits
      • i. Cost Benefits
      • ii. Personalisation
      • iii. Convenience
      • iv. Accessibility
      • v. Transport Coverage
    • 2.4.2. Corporate Benefits
      • i. Cost Management & Savings
      • ii. Personalisation
      • iii. Social Responsibility
    • 2.4.3. Societal Benefits
      • i. Reduced Environmental Impact
        • Figure 2.2: Total Emission Savings Through MaaS (Million MT CO2e), Split by 8 Key Regions, 2023-2028
      • ii. Increase in Urban Real Estate
      • iii. Increased Safety & Reduced Congestion
        • Figure 2.3: Total Fuel Cost Savings by Using MaaS ($m), Split by 8 Key Regions, 2023-2028
  • 2.5. Challenges
  • 2.6 Key Trends & Drivers
  • 2.7. Future Technologies in MaaS

3. Segment Analysis

  • 3.1. Introduction
  • 3.2. Ride Sharing
    • 3.2.1. Changes to Infrastructure Required
    • 3.2.2. Deployment to Date
    • 3.2.3. Barriers to MaaS Implementation
  • 3.3. Ticketing
    • 3.3.1. Changes to Infrastructure Required
    • 3.3.2. Deployment to Date
    • 3.3.3. Barriers to MaaS Implementation
  • 3.4. Shared Micromobility
    • Figure 3.1: Total MaaS Miles (m), Split by Transport Mode, 2023-2028
    • 3.4.1. Changes to Infrastructure Required
    • 3.4.2. Barriers to MaaS Implementation
  • 3.5. Autonomous Vehicles
    • 3.5.1. Changes to Infrastructure Required
      • Figure 3.2: Figure Displaying Regions where Autonomous Vehicles Are Permitted (Including for On-road Testing)
    • 3.5.2. Number of Incentives Required
    • 3.5.3. Deployment to Date
    • 3.5.4. Barriers to MaaS Implementation
  • 3.6. Electric Vehicles
    • 3.6.1. Number of Incentives Required
    • 3.6.2. Deployment to Date
    • 3.6.3. Barriers to MaaS Implementation
  • 3.7. Demand-responsive Transport
    • 3.7.1. Changes to Infrastructure Required
    • 3.7.2. Number of Incentives Required
    • 3.7.3. Deployment to Date
    • 3.7.4. Barriers to MaaS Implementation

4. Country Readiness Index & Regional Analysis

  • 4.1. Introduction
    • 4.1.1. MaaS Country Readiness Index
      • Figure 4.1: Juniper Research's 8 Key Regions Definition
      • Table 4.2: Juniper Research Mobility-as-a-Service Country Readiness Index: Scoring Criteria
      • Figure 4.3: Juniper Research Country Readiness Index - Mobility-as-a-Service
      • Figure 4.4: Juniper Research's Competitive Web: Mobility-as-a-Service Regional Opportunities
  • 4.2. Regional Analysis
    • 4.2.1. North America
      • Figure 4.5: Total MaaS Revenue, US & Canada ($m), 2023-2028
      • i. US
      • ii. Canada
    • 4.2.2. Latin America
      • Figure 4.6: Total MaaS Revenue, Selected Latin American Countries ($m), 2023-2028
      • i. Chile
    • 4.2.3. West Europe
      • Figure 4.7: Total MaaS Revenue, Split Between Western European Countries ($m), 2023
      • i. Denmark
      • ii. Finland
      • iii. Netherlands
      • iv. Spain
      • v. UK
    • 4.2.4. Central & East Europe
      • Figure 4.8: Total MaaS Revenue, Split Between Central & Eastern European Countries ($m), 2023
      • i. Czech Republic
      • ii. Lithuania
    • 4.2.5. Far East & China
      • Figure 4.9: Total MaaS Revenue, Split Between Far Eastern Countries ($m), 2023
      • i.Japan
      • ii. South Korea
    • 4.2.6. Indian Subcontinent
      • Figure 4.10: Total MaaS Revenue, Split Between Indian Subcontinent Countries, ($m), 2023-2028
      • i. India
    • 4.2.7. Rest of Asia Pacific
      • Figure 4.11: Total MaaS Revenue, Split Between Rest of Asia Pacific Countries ($m), 2023-2028
      • i. Australia
    • 4.2.8. Africa & Middle East
      • Figure 4.12: Total MaaS Revenue, Split Between African & Middle Eastern Countries ($m), 2023-2028
      • i. Egypt
      • ii. UAE
  • 4.3. Mobility-as-a-Service Country Opportunities: Heatmap Analysis
    • Table 4.13: Juniper Research's Country Readiness Index: North America
      • Source: Juniper Research
    • Table 4.14: Juniper Research's Country Readiness Index: Latin America
    • Table 4.15: Juniper Research's Country Readiness Index: West Europe
    • Table 4.16: Juniper Research's Country Readiness Index: Central & East Europe
    • Table 4.17: Juniper Research's Country Readiness Index: Far East & China
    • Table 4.18: Juniper Research's Country Readiness Index: Indian Subcontinent
    • Table 4.19: Juniper Research's Country Readiness Index: Rest of Asia Pacific
    • Table 4.20: Juniper Research's Country Readiness Index: Africa & Middle East

Competitor Leaderboard

1. Competitor Leaderboard

  • 1.1. Why Read This Report?
    • Table 1.1: Juniper Research Competitor Leaderboard: Mobility-as-a-Service Vendors Included & Product Portfolio
    • Figure 1.2: Juniper Research Leaderboard: Mobility-as-a-Service Vendors
    • Table 1.3: Juniper Research Leaderboard: Mobility as a Service Vendors & Positioning
    • Table 1.4: Juniper Research Mobility-as-a-Service Competitor Leaderboard Heatmap
  • 1.2. Vendor Profiles
    • 1.2.1. Axon Vibe
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 1.5: Axon Vibe's MaaS Partnership Ecosystem
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 1.2.2. Citymapper
      • 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
    • 1.2.3. Cubic Transportation Systems
      • 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
    • 1.2.4. Fluidtime
      • 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
    • 1.2.5. 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
    • 1.2.6. 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
    • 1.2.7. Iomob
      • 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
    • 1.2.8. Karhoo
      • 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
    • 1.2.9. MaaS 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
    • 1.2.10. Masabi
      • 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
    • 1.2.11. Meep
      • 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
    • 1.2.12. Mobilleo
      • 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
    • 1.2.13. Moovit
      • 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
    • 1.2.14. Ridecell
      • 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
    • 1.2.15. Siemens Mobility
      • 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
    • 1.2.16. SkedGo
      • 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
    • 1.2.17. Trafi
      • 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
    • 1.2.18. Tranzer
      • 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
  • 1.3. Juniper Research Leaderboard Assessment Methodology
    • 1.3.1. Limitations & Interpretations

Data & Forecasting

1. Forecast Summary

  • 1.1. Introduction
  • 1.2. Users & Revenue
    • 1.2.1. Total Number of MaaS Users
      • Figure & Table 1.1: Total Number of MaaS Users (m), Split by 8 Key Regions, 2023-2028
    • 1.2.2. Total Number of MaaS Journeys
      • Figure & Table 1.2: Total Number of MaaS Journeys (m), Split by 8 Key Regions, 2023-2028
    • 1.2.3. Total MaaS Revenue
      • Figure & Table 1.3: Total MaaS Revenue ($m), Split by 8 Key Regions, 2023-2028
  • 1.3. Achievable Savings
    • 1.3.1. Total Time Saved by Using MaaS
      • Figure & Table 1.4: Total Time Saved by Using MaaS (million hours), Split by 8 Key Regions, 2023-2028
    • 1.3.2. Number of Private Car Journeys Displaced by MaaS
      • Figure & Table 1.5: Number of Private Car Journeys Displaced by MaaS (m), Split by 8 Key Regions, 2023-2028
    • 1.3.3. Total Fuel Cost Savings by Using MaaS
      • Figure & Table 1.6: Total Fuel Cost Savings by Using MaaS ($m), Split by 8 Key Regions, 2023-2028
    • 1.3.4. Total CO2 Reduction from Private Car Journeys Displaced by MaaS
      • Figure & Table 1.7: Total CO2 Reduction from Private Car Journeys Displaced by MaaS (MMT CO2e), Split by 8 Key Regions, 2023-2028
  • 1.4. Miles Travelled Through MaaS
    • 1.4.1. Total Number of Miles Travelled Through MaaS
      • Figure & Table 1.8: Total Number of Miles Travelled Through MaaS (m), Split by Transport Mode, 2023-2028
      • Table 1.9: Proportion of Miles Travelled Through MaaS (m), Split by Transport Mode, 2023-2028

2. Consumer MaaS Market Forecasts

  • 2.1. Introduction
  • 2.2. Forecast Methodology
    • 2.2.1. Users & Revenue Forecast Methodology
    • 2.2.2. Achievable Savings Forecast Methodology
    • 2.2.3. Miles Travelled Through Different Transportation Modes Within MaaS Forecast Methodology
      • Figure 2.1: Consumer MaaS Users & Revenue Forecast Methodology
      • Figure 2.2: Consumer MaaS Achievable Savings Forecast Methodology
      • Figure 2.3: Consumer Miles Travelled Through the Modes of MaaS
  • 2.3. Users & Revenue
    • 2.3.1. Total Number of Consumer MaaS Users
      • Figure & Table 2.4: Total Number of Consumer MaaS Users (m), Split by 8 Key Regions, 2023-2028
    • 2.3.2. Total Number of Consumer MaaS Journeys
      • Figure & Table 2.5: Total Number of Journeys by Consumer MaaS Users (m), Split by 8 Key Regions, 2023-2028
    • 2.3.3. Total Consumer MaaS Revenue
      • Figure & Table 2.6: Total Consumer MaaS Revenue ($m), Split by 8 Key Regions, 2023.2028
  • 2.4. Achievable Savings
    • 2.4.1. Total Time Saved for Consumers by Using Consumer MaaS
      • Figure & Table 2.7: Total Time Saved for Consumers by Using Consumer MaaS (million hours), Split by 8 Key Regions, 2023-2028
    • 2.4.2. Total Number of Private Car Journeys Displaced by Consumer MaaS
      • Figure & Table 2.8: Total Number of Private Car Journeys Displaced by Consumer MaaS (m), Split by 8 Key Regions, 2023-2028
    • 2.4.3. Total Fuel Cost Savings for Consumers by Using Consumer MaaS
      • Figure & Table 2.9: Total Fuels Cost Savings for Consumers by Using Consumer MaaS ($m), Split by 8 Key Regions, 2023-2028
    • 2.4.4. Total CO2 Reduction from Private Car Journeys Displaced by Consumer MaaS
      • Figure & Table 2.10: Total CO2 Reduction from Private Car Journeys Displaced Consumer MaaS (MMT CO2e), Split by 8 Key Regions, 2023-2028
    • 2.4.5. Total Miles Travelled through Consumer MaaS
      • Figure & Table 2.11: Total Miles Travelled Through Consumer MaaS (m), Split by Transport Mode, 2023-2028
      • Table 2.12: Proportion of Miles Travelled Through Consumer MaaS (%), Split by Transport Mode, 2023-2028

3. Corporate MaaS Market Forecast

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Users & Revenue Forecast Methodology
    • 3.2.2. Achievable Savings Forecast Methodology
    • 3.2.3. Miles Travelled Through Different Transportation Modes Within MaaS Forecast Methodology
      • Figure 3.1: Corporate MaaS Users & Revenue Forecast Methodology
      • Figure 3.2: Corporate MaaS Achievable Savings Forecast Methodology
      • Figure 3.3: Corporate Miles Travelled Through the Modes of MaaS
  • 3.3. Users & Revenue
    • 3.3.1. Total Number of Corporate MaaS Users
      • Figure & Table 3.4: Total Number of Corporate MaaS Users (000s), Split by 8 Key Regions, 2023-2028
    • 3.3.2. Total Number of corporate MaaS Journeys
      • Figure 3.5: Total Number of Corporate MaaS Journeys (m), Split by 8 Key Regions, 2023-2028
    • 3.3.3. Total Corporate MaaS Revenue
      • Figure & Table 3.6: Total Corporate MaaS Revenue ($m), Split by 8 Key Regions, 2023-2028
  • 3.4. Achievable Savings
    • 3.4.1. Total Time Saved for Businesses by Using Corporate MaaS
      • Figure & Table 3.7: Total Time Saved for Businesses by Using Corporate MaaS (million hours), Split by 8 Key Regions, 2023-2028
    • 3.4.2. Total Number of Private Car Journeys Displaced by Corporate MaaS
      • Figure & Table 3.8: Total Number of Private Car Journeys Displaced by Corporate MaaS (m), Split by 8 Key Regions, 2023-2028
    • 3.4.3. Total Fuel Cost Savings for Businesses by Using Corporate MaaS
      • Figure & Table 3.9: Total Fuel Cost Savings for Businesses by Using Corporate MaaS ($m), Split by 8 Key Regions, 2023-2028
    • 3.4.4. Total CO2 Reduction from Private Car Journeys Displaced by Corporate MaaS
      • Figure & Table 3.10: Total CO2 Reduction from Private Car Journeys Displaced Corporate MaaS (MMT CO2e), Split by 8 Key Regions, 2023-2028
  • 3.5. Miles Travelled Through the Different Modes of Transport in MaaS
    • 3.5.1. Total Miles Travelled Through Corporate MaaS
      • Figure & Table 3.11: Total Miles Travelled Through Corporate MaaS (m), Split by Transport Mode, 2023-2028
      • Table 3.12: Proportion of Miles Travelled Through Corporate MaaS (%), Split by Transport Mode, 2023-2028