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市場調查報告書

MaaS (Mobility as a Service) - 經營模式,供應商策略,市場預測:2020年∼2027年

Mobility-as-a-Service (MaaS): Business Models, Vendor Strategies & Market Forecasts 2020-2027

出版商 Juniper Research Ltd 商品編碼 931174
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
MaaS (Mobility as a Service) - 經營模式,供應商策略,市場預測:2020年∼2027年 Mobility-as-a-Service (MaaS): Business Models, Vendor Strategies & Market Forecasts 2020-2027
出版日期: 2020年04月07日內容資訊: 英文
簡介

提供MaaS (Mobility as a Service) 的新興市場的詳細的分析與評估,經營模式與其未來預測相關的重要考察。還有MaaS的引進相關目前市場進展的評估,MaaS生態系統的相關利益者的未來的機會相關資料。

提供各主要部門、地區的機會,市場發展相關分析,對於到2027年終的成長預測3個方案 (低、中、高的用戶引進率) ,廣泛的方案為基礎的市場規模與合作。

本報告中,包含以下內容。

提供內容

  • 詳細內容策略、競爭 (PDF)
  • 7年的詳細資料、預測 (PDF、Excel)
  • 摘要整理、主要調查結果 (PDF)
  • 線上資料平台12個月的存取

主要的特徵

  • MaaS市場分析
  • 經營模式分析
  • MaaS引進、準備的各地區分析
  • Juniper Research Leaderboard
  • MaaS城市排行榜
  • 採訪
  • 基準產業預測

主要的問題

刊載企業

資料、互動預測

  • 7年的基準預測:8個地區,12個國家
    • 加拿大
    • 中國
    • 丹麥
    • 德國
    • 日本
    • 挪威
    • 葡萄牙
    • 西班牙
    • 韓國
    • 瑞典
    • 英國
    • 美國
  • 3個方案基礎的預測套組 (根據主要影響因素的變化,低、中、高的引進率的模式化)
    • MaaS用戶數
    • 加入服務的MaaS用戶數
    • MaaS訂閱的總收益
    • 專案為基礎的支付服務費用的MaaS用戶的總數
    • MaaS的專案總收益
    • 來自MaaS的總收益
    • MaaS的旅程總數
    • 被MaaS的旅程代替的私人汽車旅程的總數
    • 比較了私人汽車的旅行和MaaS,節約時間的總合
    • MaaS引進的燃料成本節約的總合
    • MaaS引進的CO2e節約的總合
  • 預測資料集 (含44個表格,6,600個以上的數據點) 的存取
  • 可利用互動的Excel方案工具
目錄

Juniper Research's latest ‘Mobility-as-a-Service ’ research provides an in-depth analysis and evaluation of this emerging market; delivering critical insights on the business models being formulated and their future prospects. It also provides an evaluation of the current market progress on MaaS (Mobility-as-a-Service) implementation and highlights the future opportunities for stakeholders across the MaaS ecosystem.

The research provides astute analysis of the key sectors, regional opportunities and developments in the market, whilst providing insights into the impact expected on existing transport methods. This is aligned with an extensive scenario-based market sizing forecast suite, offering three scenarios (for low, medium and high user adoption) to forecast growth until the end of 2027.

Metrics featured in each scenario include:

  • Total MaaS Users
  • MaaS Revenue
  • Time Savings from MaaS Deployment Compared with Private Car Use
  • Fuel Cost Savings from MaaS Introduction Compared with Private Car Use

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 Market Analysis: Analysis of the potential impact of MaaS and what constraints are in place. The analysis is conducted utilising an impact assessment, and covers the following areas:
    • AVs (Autonomous Vehicles)
    • EVs (Electric Vehicles)
    • On-demand transport services
    • Ridesharing
    • Shared micromobility
    • Ticketing
  • Business Model Analysis: Detailed insight into the business models emerging in MaaS, including subscription services, and what incentives will be required.
  • Regional Analysis of MaaS Adoption & Readiness: Includes analysis of adoption and barriers to growth across 8 key global regions according to an evaluation of:
    • The supporting ecosystem
    • Existing MaaS efforts
    • MaaS growth prospects
  • Juniper Research Leaderboard: 15 leading MaaS vendors compared, scored and positioned on the Juniper Research Leaderboard matrix, including:
    • Citymapper
    • CTS
    • Fluidtime
    • GoTo
    • HERE Mobility
    • Karhoo
    • MaaS Global
    • Masabi
    • Moovit
    • Moovel
    • Ridecell
    • Siemens Mobility
    • Skedgo
    • Trafi
    • Ubigo
  • MaaS City Ranking: Evaluation of the top 10 pioneering cities experiments with MaaS deployment and their progress to date.
  • Interviews: Leading MaaS stakeholders interviewed, including:
    • Fluidtime
    • GoTo Global
    • HERE Mobility
    • Moovel
    • Masabi
    • Moovit
    • Nextbike
    • Trafi
  • Benchmark Industry Forecasts: MaaS adoption forecasts in terms of:
    • Users
    • Service revenue
    • End-user time and cost savings
    • Splits according to three user adoption scenarios and 8 key global regions

Key Questions

  • 1. What is the revenue opportunity for MaaS deployment in the next 7 years?
  • 2. What business models are emerging to support MaaS rollouts?
  • 3. How will the deployment of MaaS differ around the globe?
  • 4. Which cities are best placed for MaaS disruption?
  • 5. What are the biggest challenges to MaaS deployment and how are vendors approaching these?

Companies Referenced

  • Interviewed: Fluidtime, GoTo Global, HERE Mobility, Masabi, moovel, Moovit, Nextbike, Trafi.
  • Profiled: Citymapper, CTS, Fluidtime, GoTo Global, HERE Mobility, Karhoo, MaaS Global, Masabi, moovel, Moovit, Ridecell, Siemens Mobility, SkedGo, Trafi, UbiGo.
  • Mentioned: 2GetThere, AAA, Access IS, Adform, Aimsun, ALD Automotive, Alibaba, Anchorage People Mover, Apple, AppSolu, ARC, Arup, AS Roma, Atlanta Streetcar, Audi, Autocab, Autotel, Axygest, Bay Area Rapid Transit, BerlKönig, Bird, BlaBlaCar, blueSG, BMW, Bosch, BP, Breeze Bikeshare, Bytemark, Cab Guru, Cabify, Cabonline, Call-n-Ride, Caltrain, Car Next Door, Carey International, Chalo, Chicago Transit Authority, Citi Bike, Citybikes, CityFleet Networks, Civil Maps, ComfortDelGro Corporation, Conduent, Contact Light, Continental, Cox Automotive, Cubic Corporation, Daimler, Dataspeed, Debono Group, DENSO, Denver RTD, Deutsche Bahn, Deutsche Bank, Dial-a-Ride, Didi Chuxing, Dojo, Dot Transfers, DOVU, DriveNow, East Japan Railway Company, EkoRent, emmy sharing, Enterprise Car Club, eos.uptrade, ESP Group, Experian, FDM (the Danish Touring Club), FEDA (Forces Elèctriques d'Andorra), Ferrovial, Fever, Fleetondemand , Flinkster, Flit Technologies, Flitways, Ford, Foursquare, FREE NOW, Galois, Gett, Go Get, GoCatch, Gojek, Goldbeck Parking, Goldman Sachs, Google, Grab, HaCon, Haulmont, Hertz, Highways England, Hitachi, HRT (Helsinki Regional Transport Authority), Hubway, Hyundai, iCabbi, InComm, Ingogo, INIT, InMobi, Insert Effect, Intel, Inter American Development Bank, Iomob, IQ Payments, ITO World, ITT Inc, iVcardo, Jaguar Land Rover, Jayride, JLM, Kadient, Kapsch Group, Kapten, Keolis, Kisio, LA Metrolink, Las Vegas RTC, Legatum, Liftshare, Lime, Los Angeles DOT, Los Angeles Metro, Lyft, MaaS Alliance, MaaS Australia, MaaS Scotland, Magenta Technology, Manly Ferries, Mapstr, MARii (the Malaysia Automotive, Robotics and IoT Institute), Mastercard, MBTA, Mercedes-Benz, Metro Transit (Minneapolis), MG, MILES Mobility GmbH, Mitsubishi, Mitsui Fudosan, Mobileeee, Mobileye, Mobility Lab UK, MobilityMixx, MobilityX, Montargis, Moses, Move About, Mudlark, Munich Airport, Musement, MVG (Münchner Verkehrsgesellschaft), National Entitlement Card, National Express, NaviGoGo, Netflix, New York MTA, Nirenberg Neuroscience, Nissan, NorisBike, Nuro, Ofo, Ola, Optus, Orange County Transportation Authority, oxipit, Pace, Padam, Parkopedia, PayPal, Penske Automotive Group, Pioneer, PTV, Rakuten, RCI Bank, Renault, Renfe, respire, Road and Transport Authority Dubai, Roll Scooters, Route Monkey, SAIPS, San Antonio VIA, San Diego MTS & North County Transit District, San Francisco Municipal Transportation Agency, Santa Clara VTA, Santander, Saudi Aramco, Schaeffler AG, Scheidt & Bachmann, SEAT, SHARE NOW, Share Transport, Shell, Sixt, Skip, Skoda, SL (Storstockholms Lokaltrafik), smart, Smove, SMRT Corporation, SNCF, Société Générale, SoftBank, Sony, SouthWest Transit, SPARK, SpotHero, SPTrans, SRTA (Shasta Regional Transportation Agency), Stadtmobil, Südostbahn, SUMA (Shared Use Mobility Agency), Swift Fleet, SYSTRA, Taksee, TAO, Taxi Berlin, Telebus, Tesla, Tessa, TfL (Transport for London), TfWM (Transport for West Midlands), Thames Clippers, The Hague HTM, Ticketer, TIER, TomTom, Toronto Transit Commission, Toyota, TransitLink Anywheel, Transport for Greater Manchester, Transport for New South Wales, Transport Scotland, Transport Systems Catapult, Travelport, TriMet, Uber, UK Research and Innovation, UN, Urbano, Velodyne, Vesta, Virginia Railway Express, Visa, Voi Technology, Volkswagen, Volvo, Walmart, Waymo, Waze, WeWork, What3Words, Wiman, Wirecard, XXImo, Yamaha, Young Scot, Yuso, ZF, Zipcar, ZITY.

Data & Interactive Forecast

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

  • 7-year benchmark forecasts for key metrics by 8 key regions and 12 country-level splits including:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • South Korea
    • Sweden
    • UK
    • US
  • Three scenario-based forecast sets modelling low, medium and high adoption rates according to variations in key influencing factors. Outcomes cover the following metrics:
    • Number of MaaS Users
    • Number of MaaS Users who Subscribe to the Service
    • Total MaaS Subscription Revenue
    • Total Number of MaaS Users who Pay for the Service on an Ad Hoc Basis
    • Total MaaS Ad Hoc Revenue
    • Total Revenue from MaaS
    • Total Number of MaaS Trips
    • Total Number of Private Car Trips Replaced with MaaS Trips
    • Total Time Saved via MaaS Compared with Private Car Journeys
    • Total Fuel Cost Savings from MaaS Implementation
    • Total CO2e Savings from MaaS Implementation
  • Access to the full set of forecast data of 44 tables and over 6,600 datapoints.
  • Interactive Excel Scenario tool allowing the user the ability to manipulate Juniper Research's data for 12 different metrics.

Juniper Research's highly granular IFxls (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.