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市場調查報告書
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2133632

2034年交通行動服務(MaaS)生態系市場預測-按服務類型、平台類型、交通途徑、技術、支付模式、最終用戶和地區分類的全球分析

Mobility-as-a-Service Ecosystems Market Forecasts to 2034 - Global Analysis By Service Type, Platform Type, Transportation Mode, Technology, Payment Model, End User and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據,預計到 2026 年,全球交通行動服務(MaaS) 生態系統市場規模將達到 150 億美元,在預測期內以 20.0% 的複合年成長率成長,到 2034 年將達到 645 億美元。

旅遊即服務 (MaaS) 生態系統指的是一個整合多種交通途徑(例如公共交通、叫車和微出行)的數位化平台,旨在提供統一、無縫的使用者體驗。這些平台利用人工智慧、物聯網和雲端運算技術,最佳化跨多個交通運營商的路線規劃、票務和支付流程。這項技術惠及個人通勤者、商務旅客和政府機構,旨在緩解交通堵塞、減少排放氣體並提高都市區交通效率。

快速的都市化和對永續交通途徑日益成長的需求

全球都市化進程的加速導致各大城市面臨前所未有的交通堵塞和環境挑戰。旅遊即服務 (MaaS) 生態系統透過最佳化共享服務和公共交通資源的利用,為私家車擁有提供了一個永續的替代方案。消費者日益追求無縫的多模態旅遊體驗,以減少通勤時間和碳排放。 MaaS 與政府的智慧城市和淨零排放計劃相契合,正推動公共和私營部門加大投資。

法規環境分散化與資料共用挑戰

建構完善的旅遊即服務 (MaaS) 生態系統需要公共運輸和私營出行業者之間的深度合作,但這種合作往往受到監管碎片化的阻礙。關於用戶隱私、定價以及營運指標資料共用等方面的協議在不同司法管轄區之間仍然複雜且充滿爭議。缺乏標準化的應用程式介面 (API) 和互通性協定也延緩了真正一體化平台的開發。這些監管和技術障礙限制了 MaaS 解決方案在高度監管市場中的擴充性。

自動駕駛汽車與微旅行技術的融合

自動駕駛汽車的興起以及電動滑板車和電動自行車的快速普及,為出行即服務 (MaaS) 生態系統的擴展帶來了巨大機會。將自動駕駛接駁車和微出行選項整合到 MaaS 平台中,可確保「最後一公里」和「第一公里」的連接,從而彌合公共交通網路的關鍵缺口。人工智慧驅動的演算法能夠根據即時需求動態分配這些資源,最佳化車輛運轉率。成功整合自動駕駛汽車和微旅行資產的公司預計在都市區獲得顯著的市場佔有率。

與現有共乘服務和私家車擁有量之間的競爭。

儘管出行即服務 (MaaS) 具有諸多優勢,但老牌共享出行巨頭和私家車所有權帶來的持續便利性構成了重大威脅。共享旅遊公司往往優先考慮自身服務而非整合的多模態模式出行方案,從而形成“圍牆花園”,限制了生態系統的開放性。此外,在某些地區,基於訂閱的 MaaS 套餐價格高昂,使得私家車所有權對家庭而言更具經濟吸引力。這些競爭動態正在阻礙綜合性 MaaS 平台的廣泛普及。

新型冠狀病毒(COVID-19)的影響:

疫情初期擾亂了公共交通,加劇了人們對共享出行安全性的擔憂,並暫時減緩了出行即服務(MaaS)的普及。然而,這場危機加速了都市區擁塞和推廣永續交通,這進一步鞏固了MaaS生態系統的價值。將健康和安全指標融入出行平台的趨勢也持續推動創新。

在預測期內,「叫車和共乘服務」細分市場預計將佔據最大佔有率。

在預測期內,叫車和共乘服務預計將佔據最大的市場佔有率,這主要得益於消費者的廣泛接受以及主要都市地區完善的基礎設施。這些服務提供必要的隨選旅遊服務,是固定線路公共交通的強力補充。該領域受益於強大的網路效應、較高的品牌知名度以及路線規劃和定價演算法方面的持續技術進步。此外,叫車服務與更廣泛的出行即服務 (MaaS) 訂閱套餐的整合也進一步鞏固了其市場主導地位。

預計在預測期內,「整合式行動平台」細分市場將呈現最高的複合年成長率。

在預測期內,「綜合出行平台」細分市場預計將呈現最高的成長率,這主要得益於市場對無縫銜接的端到端出行規劃和支付解決方案日益成長的需求。這些平台整合了多種交通途徑,使用戶能夠透過單一介面規劃、預訂和支付複雜的行程。人工智慧和即時數據分析技術的進步正在不斷提昇路線最佳化和用戶體驗。此細分市場的發展趨勢與整個產業向以用戶為中心的訂閱式出行模式轉變的大趨勢相符。

市佔率最大的地區:

在預測期內,北美預計將佔據最大的市場佔有率,這主要得益於其智慧型手機普及率高、行動出行新創企業獲得強勁的創業投資資金籌措以及智慧城市計畫的早期實施。美國處於主導地位,這得益於聯邦政府的交通津貼以及在洛杉磯和亞特蘭大等城市部署的大規模出行即服務(MaaS)試點計畫。有利於資料共用和官民合作關係的法規結構正在加速市場發展。消費者對數位化旅遊解決方案的高接受度正在推動市場成長。

複合年成長率最高的地區:

在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於大規模的都市化、嚴重的交通堵塞以及政府對智慧運輸的大力支持。中國和印度是關鍵的成長市場,擁有高度發展的數位支付生態系統和快速擴張的公共交通網路。當地科技巨頭正積極拓展其「超級應用」類型的出行服務,整合叫車、共享單車和大眾運輸。該地區在行動網際網路使用方面的領先地位也支撐著強勁的需求成長。

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目錄

第1章:執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章:研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章:競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章:全球交通行動服務(MaaS) 生態系市場:依服務類型分類

  • 大眾運輸服務
  • 叫車與共乘服務
  • 汽車共享服務
  • 自行車共享和微旅行服務
  • 計程車和按需出行服務
  • 城際和區域內交通服務

第6章:全球交通行動服務(MaaS) 生態系市場:依平台類型分類

  • 整合行動平台
  • 多模態交通規劃平台
  • 行動行動應用
  • 旅行預訂和付款管道
  • 車隊管理與移動出行平台
  • 出行即服務聚合平台

第7章 全球交通行動服務(MaaS) 生態系市場:依交通方式分類

  • 鐵路和地鐵
  • 公車和公共交通
  • 搭乘用車
  • 自行車和電動自行車
  • 電動滑板車和微型交通工具
  • 共享車輛和按需車輛

第8章:全球交通行動服務(MaaS) 生態系市場:依技術分類

  • 人工智慧和機器學習
  • 物聯網
  • 雲端運算
  • 全球定位系統(GPS)與位置智慧
  • 聯網汽車技術
  • 數位支付和票務技術

第9章:全球交通行動服務(MaaS) 生態系市場:依支付模式分類

  • 付費使用制
  • 基於訂閱
  • 收費以使用量計算。
  • 綜合票
  • 商務流動性方案
  • 免費增值模式與平台模式

第10章:全球交通行動服務(MaaS) 生態系市場:依最終用戶分類

  • 個人旅行者
  • 通勤者
  • 遊客和訪客
  • 企業旅客
  • 政府和公共機構
  • 運輸業者

第11章 全球交通行動服務(MaaS) 生態系市場:依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區(RoW)
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章:公司簡介

  • Uber Technologies, Inc.
  • Lyft, Inc.
  • Bolt Technology OU
  • Moovit Inc.
  • Siemens Mobility GmbH
  • Robert Bosch GmbH
  • Transit Technologies LLC
  • Whim
  • FREE NOW GmbH
  • DiDi Global Inc.
  • Grab Holdings Limited
  • ComfortDelGro Corporation Limited
  • Shuttl
  • Transdev Group
  • Keolis SA
  • Alstom SA
  • Cubic Transportation Systems
Product Code: SMRC39586

According to Stratistics MRC, the Global Mobility-as-a-Service Ecosystems Market is accounted for $15.0 billion in 2026 and is expected to reach $64.5 billion by 2034 growing at a CAGR of 20.0% during the forecast period. Mobility-as-a-Service (MaaS) ecosystems refer to integrated digital platforms that combine various modes of transportation, such as public transit, ride-hailing, and micromobility, into a single, seamless user experience. These platforms utilize AI, IoT, and cloud computing to optimize route planning, ticketing, and payment across multiple transport providers. The technology serves individual commuters, corporate travelers, and government agencies seeking to reduce congestion, lower emissions, and improve urban mobility efficiency.

Market Dynamics:

Driver:

Rapid urbanization and increasing demand for sustainable transport

The accelerating pace of global urbanization is creating unprecedented congestion and environmental challenges in major cities. MaaS ecosystems offer a sustainable alternative to private car ownership by optimizing the use of shared and public transport resources. Consumers are increasingly demanding seamless, multi-modal travel experiences that reduce commute times and carbon footprints. The alignment of MaaS with government smart city and net-zero initiatives drives strong public and private sector investments.

Restraint:

Fragmented regulatory environments and data sharing challenges

The development of comprehensive MaaS ecosystems requires deep integration between public transit authorities and private mobility providers, which is often hindered by fragmented regulations. Data sharing agreements regarding user privacy, pricing, and operational metrics remain complex and contentious across different jurisdictions. The lack of standardized APIs and interoperability protocols slows the creation of truly unified platforms. These regulatory and technical barriers limit the scalability of MaaS solutions in highly regulated markets.

Opportunity:

Integration of autonomous vehicles and micromobility

The emergence of autonomous vehicles and the rapid expansion of e-scooters and e-bikes present substantial opportunities for MaaS ecosystem expansion. Integrating autonomous shuttles and micromobility options into MaaS platforms provides first-mile and last-mile connectivity, solving critical gaps in public transit networks. AI-driven algorithms can dynamically allocate these resources based on real-time demand, optimizing fleet utilization. Companies that successfully integrate autonomous and micromobility assets will capture significant market share in urban environments.

Threat:

Competition from established ride-hailing and private car ownership

Despite the benefits of MaaS, established ride-hailing giants and the enduring convenience of private car ownership pose significant threats. Ride-hailing companies often prioritize their own services over integrated multi-modal options, creating walled gardens that limit ecosystem openness. Additionally, the high cost of subscription-based MaaS packages in some regions makes private car ownership more economically attractive for families. These competitive dynamics slow the widespread adoption of comprehensive MaaS platforms.

Covid-19 Impact:

The pandemic initially disrupted public transit usage and raised concerns about shared mobility safety, temporarily slowing MaaS adoption. However, the crisis accelerated the digital transformation of urban transport, highlighting the need for contactless ticketing and flexible routing. Post-pandemic, the sustained focus on reducing urban congestion and promoting sustainable transport has reinforced the value of MaaS ecosystems. The integration of health and safety metrics into mobility platforms continues to drive innovation.

The Ride-Hailing and Ride-Sharing Services segment is expected to be the largest during the forecast period

The Ride-Hailing and Ride-Sharing Services segment is expected to account for the largest market share during the forecast period, due to its widespread consumer adoption and established infrastructure in major urban centers. These services provide critical on-demand mobility that complements fixed-route public transit. The segment benefits from strong network effects, high brand recognition, and continuous technological advancements in routing and pricing algorithms. Its dominance is further supported by the integration of ride-hailing into broader MaaS subscription packages.

The Integrated Mobility Platforms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Integrated Mobility Platforms segment is predicted to witness the highest growth rate, driven by the increasing demand for seamless, end-to-end travel planning and payment solutions. These platforms aggregate multiple transport modes, allowing users to plan, book, and pay for complex journeys through a single interface. Advances in AI and real-time data analytics improve route optimization and user experience. The segment aligns with the broader industry shift toward subscription-based, user-centric mobility models.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to high smartphone penetration, strong venture capital funding for mobility startups, and early adoption of smart city initiatives. The United States leads with major MaaS pilots in cities like Los Angeles and Atlanta, supported by federal transportation grants. Favorable regulatory frameworks for data sharing and public-private partnerships accelerate market development. High consumer willingness to adopt digital mobility solutions drives market growth.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by massive urbanization, severe traffic congestion, and strong government support for smart mobility. China and India represent major growth markets with highly developed digital payment ecosystems and rapid expansion of public transit networks. Local tech giants are aggressively expanding their super-app mobility offerings, integrating ride-hailing, bike-sharing, and public transit. The region's dominance in mobile internet usage sustains strong demand growth.

Key players in the market

Some of the key players in Global Mobility-as-a-Service Ecosystems Market include Uber Technologies, Inc., Lyft, Inc., Bolt Technology OU, Moovit Inc., Siemens Mobility GmbH, Robert Bosch GmbH, Transit Technologies LLC, Whim, FREE NOW GmbH, DiDi Global Inc., Grab Holdings Limited, ComfortDelGro Corporation Limited, Shuttl, Transdev Group, Keolis S.A., Alstom SA, and Cubic Transportation Systems.

Key Developments:

In May 2026, Uber Technologies, Inc. launched a new integrated mobility platform in partnership with major European transit authorities, allowing users to book and pay for public transit and ride-hailing in a single app.

In April 2026, Siemens Mobility GmbH expanded its MaaS ecosystem capabilities in Asia Pacific, introducing AI-driven dynamic routing algorithms that optimize bus and shuttle frequencies based on real-time commuter demand.

In March 2026, Grab Holdings Limited introduced a new subscription-based mobility package in Southeast Asia, offering unlimited access to ride-hailing, bike-sharing, and public transit for a fixed monthly fee.

Service Types Covered:

  • Public Transit Services
  • Ride-Hailing and Ride-Sharing Services
  • Car-Sharing Services
  • Bike-Sharing and Micromobility Services
  • Taxi and On-Demand Mobility Services
  • Intercity and Regional Mobility Services

Platform Types Covered:

  • Integrated Mobility Platforms
  • Multimodal Journey Planning Platforms
  • Mobile Mobility Applications
  • Travel Booking and Payment Platforms
  • Fleet Management and Mobility Platforms
  • Mobility-as-a-Service Aggregation Platforms

Transportation Modes Covered:

  • Rail and Metro
  • Buses and Public Transit
  • Passenger Cars
  • Bicycles and E-Bikes
  • E-Scooters and Micromobility
  • Shared and On-Demand Vehicles

Technologies Covered:

  • Artificial Intelligence and Machine Learning
  • Internet of Things
  • Cloud Computing
  • Global Positioning System and Location Intelligence
  • Connected Vehicle Technologies
  • Digital Payment and Ticketing Technologies

Payment Models Covered:

  • Pay-as-You-Go
  • Subscription-Based
  • Usage-Based Pricing
  • Integrated Ticketing
  • Corporate Mobility Packages
  • Freemium and Platform-Based Models

End Users Covered:

  • Individual Travelers
  • Commuters
  • Tourists and Visitors
  • Corporate Travelers
  • Government and Public Agencies
  • Transportation Operators

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Mobility-as-a-Service Ecosystems Market, By Service Type

  • 5.1 Public Transit Services
  • 5.2 Ride-Hailing and Ride-Sharing Services
  • 5.3 Car-Sharing Services
  • 5.4 Bike-Sharing and Micromobility Services
  • 5.5 Taxi and On-Demand Mobility Services
  • 5.6 Intercity and Regional Mobility Services

6 Global Mobility-as-a-Service Ecosystems Market, By Platform Type

  • 6.1 Integrated Mobility Platforms
  • 6.2 Multimodal Journey Planning Platforms
  • 6.3 Mobile Mobility Applications
  • 6.4 Travel Booking and Payment Platforms
  • 6.5 Fleet Management and Mobility Platforms
  • 6.6 Mobility-as-a-Service Aggregation Platforms

7 Global Mobility-as-a-Service Ecosystems Market, By Transportation Mode

  • 7.1 Rail and Metro
  • 7.2 Buses and Public Transit
  • 7.3 Passenger Cars
  • 7.4 Bicycles and E-Bikes
  • 7.5 E-Scooters and Micromobility
  • 7.6 Shared and On-Demand Vehicles

8 Global Mobility-as-a-Service Ecosystems Market, By Technology

  • 8.1 Artificial Intelligence and Machine Learning
  • 8.2 Internet of Things
  • 8.3 Cloud Computing
  • 8.4 Global Positioning System and Location Intelligence
  • 8.5 Connected Vehicle Technologies
  • 8.6 Digital Payment and Ticketing Technologies

9 Global Mobility-as-a-Service Ecosystems Market, By Payment Model

  • 9.1 Pay-as-You-Go
  • 9.2 Subscription-Based
  • 9.3 Usage-Based Pricing
  • 9.4 Integrated Ticketing
  • 9.5 Corporate Mobility Packages
  • 9.6 Freemium and Platform-Based Models

10 Global Mobility-as-a-Service Ecosystems Market, By End User

  • 10.1 Individual Travelers
  • 10.2 Commuters
  • 10.3 Tourists and Visitors
  • 10.4 Corporate Travelers
  • 10.5 Government and Public Agencies
  • 10.6 Transportation Operators

11 Global Mobility-as-a-Service Ecosystems Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Uber Technologies, Inc.
  • 14.2 Lyft, Inc.
  • 14.3 Bolt Technology OU
  • 14.4 Moovit Inc.
  • 14.5 Siemens Mobility GmbH
  • 14.6 Robert Bosch GmbH
  • 14.7 Transit Technologies LLC
  • 14.8 Whim
  • 14.9 FREE NOW GmbH
  • 14.10 DiDi Global Inc.
  • 14.11 Grab Holdings Limited
  • 14.12 ComfortDelGro Corporation Limited
  • 14.13 Shuttl
  • 14.14 Transdev Group
  • 14.15 Keolis S.A.
  • 14.16 Alstom SA
  • 14.17 Cubic Transportation Systems

List of Tables

  • Table 1 Global Mobility-as-a-Service Ecosystems Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Mobility-as-a-Service Ecosystems Market Outlook, By Service Type (2023-2034) ($MN)
  • Table 3 Global Mobility-as-a-Service Ecosystems Market Outlook, By Public Transit Services (2023-2034) ($MN)
  • Table 4 Global Mobility-as-a-Service Ecosystems Market Outlook, By Ride-Hailing and Ride-Sharing Services (2023-2034) ($MN)
  • Table 5 Global Mobility-as-a-Service Ecosystems Market Outlook, By Car-Sharing Services (2023-2034) ($MN)
  • Table 6 Global Mobility-as-a-Service Ecosystems Market Outlook, By Bike-Sharing and Micromobility Services (2023-2034) ($MN)
  • Table 7 Global Mobility-as-a-Service Ecosystems Market Outlook, By Taxi and On-Demand Mobility Services (2023-2034) ($MN)
  • Table 8 Global Mobility-as-a-Service Ecosystems Market Outlook, By Intercity and Regional Mobility Services (2023-2034) ($MN)
  • Table 9 Global Mobility-as-a-Service Ecosystems Market Outlook, By Platform Type (2023-2034) ($MN)
  • Table 10 Global Mobility-as-a-Service Ecosystems Market Outlook, By Integrated Mobility Platforms (2023-2034) ($MN)
  • Table 11 Global Mobility-as-a-Service Ecosystems Market Outlook, By Multimodal Journey Planning Platforms (2023-2034) ($MN)
  • Table 12 Global Mobility-as-a-Service Ecosystems Market Outlook, By Mobile Mobility Applications (2023-2034) ($MN)
  • Table 13 Global Mobility-as-a-Service Ecosystems Market Outlook, By Travel Booking and Payment Platforms (2023-2034) ($MN)
  • Table 14 Global Mobility-as-a-Service Ecosystems Market Outlook, By Fleet Management and Mobility Platforms (2023-2034) ($MN)
  • Table 15 Global Mobility-as-a-Service Ecosystems Market Outlook, By Mobility-as-a-Service Aggregation Platforms (2023-2034) ($MN)
  • Table 16 Global Mobility-as-a-Service Ecosystems Market Outlook, By Transportation Mode (2023-2034) ($MN)
  • Table 17 Global Mobility-as-a-Service Ecosystems Market Outlook, By Rail and Metro (2023-2034) ($MN)
  • Table 18 Global Mobility-as-a-Service Ecosystems Market Outlook, By Buses and Public Transit (2023-2034) ($MN)
  • Table 19 Global Mobility-as-a-Service Ecosystems Market Outlook, By Passenger Cars (2023-2034) ($MN)
  • Table 20 Global Mobility-as-a-Service Ecosystems Market Outlook, By Bicycles and E-Bikes (2023-2034) ($MN)
  • Table 21 Global Mobility-as-a-Service Ecosystems Market Outlook, By E-Scooters and Micromobility (2023-2034) ($MN)
  • Table 22 Global Mobility-as-a-Service Ecosystems Market Outlook, By Shared and On-Demand Vehicles (2023-2034) ($MN)
  • Table 23 Global Mobility-as-a-Service Ecosystems Market Outlook, By Technology (2023-2034) ($MN)
  • Table 24 Global Mobility-as-a-Service Ecosystems Market Outlook, By Artificial Intelligence and Machine Learning (2023-2034) ($MN)
  • Table 25 Global Mobility-as-a-Service Ecosystems Market Outlook, By Internet of Things (2023-2034) ($MN)
  • Table 26 Global Mobility-as-a-Service Ecosystems Market Outlook, By Cloud Computing (2023-2034) ($MN)
  • Table 27 Global Mobility-as-a-Service Ecosystems Market Outlook, By Global Positioning System and Location Intelligence (2023-2034) ($MN)
  • Table 28 Global Mobility-as-a-Service Ecosystems Market Outlook, By Connected Vehicle Technologies (2023-2034) ($MN)
  • Table 29 Global Mobility-as-a-Service Ecosystems Market Outlook, By Digital Payment and Ticketing Technologies (2023-2034) ($MN)
  • Table 30 Global Mobility-as-a-Service Ecosystems Market Outlook, By Payment Model (2023-2034) ($MN)
  • Table 31 Global Mobility-as-a-Service Ecosystems Market Outlook, By Pay-as-You-Go (2023-2034) ($MN)
  • Table 32 Global Mobility-as-a-Service Ecosystems Market Outlook, By Subscription-Based (2023-2034) ($MN)
  • Table 33 Global Mobility-as-a-Service Ecosystems Market Outlook, By Usage-Based Pricing (2023-2034) ($MN)
  • Table 34 Global Mobility-as-a-Service Ecosystems Market Outlook, By Integrated Ticketing (2023-2034) ($MN)
  • Table 35 Global Mobility-as-a-Service Ecosystems Market Outlook, By Corporate Mobility Packages (2023-2034) ($MN)
  • Table 36 Global Mobility-as-a-Service Ecosystems Market Outlook, By Freemium and Platform-Based Models (2023-2034) ($MN)
  • Table 37 Global Mobility-as-a-Service Ecosystems Market Outlook, By End User (2023-2034) ($MN)
  • Table 38 Global Mobility-as-a-Service Ecosystems Market Outlook, By Individual Travelers (2023-2034) ($MN)
  • Table 39 Global Mobility-as-a-Service Ecosystems Market Outlook, By Commuters (2023-2034) ($MN)
  • Table 40 Global Mobility-as-a-Service Ecosystems Market Outlook, By Tourists and Visitors (2023-2034) ($MN)
  • Table 41 Global Mobility-as-a-Service Ecosystems Market Outlook, By Corporate Travelers (2023-2034) ($MN)
  • Table 42 Global Mobility-as-a-Service Ecosystems Market Outlook, By Government and Public Agencies (2023-2034) ($MN)
  • Table 43 Global Mobility-as-a-Service Ecosystems Market Outlook, By Transportation Operators (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.