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2133937

城市交通數據平台市場預測至2034年—按平台類型、部署模式、應用、最終用戶和區域分類的全球分析

Urban Mobility Data Platforms Market Forecasts to 2034 - Global Analysis By Platform Type, Deployment Model, Application, 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,全球城市交通數據平台市場規模將達到 48 億美元,並在預測期內以 14.9% 的複合年成長率成長,到 2034 年將達到 146.8 億美元。

城市出行數據平台是指一個整合的數位生態系統,它聚合並分析各種交通數據流,以最佳化城市交通、管理交通流量並改善通勤體驗。這些平台利用雲端運算、巨量資料分析和物聯網連接,提供即時洞察,用於最佳化公共交通、智慧停車、微旅行管理和緊急路線規劃。該技術包括出行即服務 (MaaS) 整合、動態路線規劃演算法和預測建模,將城市交通轉變為一個無縫且永續的網路,服務於市政當局、交通運輸機構和私人出行服務提供者。

快速的都市化與智慧城市的投資

隨著全球都市化的加速,地方政府被迫實施全面的智慧城市框架,優先發展高效且永續的交通網路。城市交通數據平台是管理複雜都會大都會圈物流、緩解交通擁塞和改善空氣品質的基礎智慧層。亞太地區、歐洲和中東的國家智慧城市計畫都已撥出專案預算用於實施綜合交通平台。

資料隱私法規和安全問題

收集、匯總和處理大量的通勤者位置數據、車輛遙測數據和旅行模式數據,引發了嚴重的隱私和安全問題。嚴格的資料保護框架對使用者同意、匿名化和資料儲存提出了嚴苛的要求,使平台架構設計變得複雜。市政採購流程日益要求進行全面的資料管治稽核和網路安全認證,導致部署時間延長和合規成本增加。

交通行動服務(MaaS) 生態系的擴展

消費者對無縫銜接的多模態交通體驗日益成長的偏好,正推動著交通行動服務(MaaS) 生態系統的快速擴張。城市出行資料平台提供底層整合基礎設施、即時 API 連接和票價結算功能,可望創造可觀的經常性收入。平台提供者與市政交通管理部門之間的策略合作,正在建構標準化的部署模式,加速全球城市的部署。

地方政府法規環境的分裂

地方政府在微出行營運、共享出行許可和共用共享交通數據方面缺乏統一的法規結構,這對企業擴張構成重大威脅。平台提供者每次進入新市場都必須投入大量資金用於本地合規和政府關係建設。針對新興出行服務的政策不一致,導致營運不確定性,並將全球市場分割成一個個孤立的區域部署孤島。

新冠疫情的影響:

疫情從根本上改變了都市區通勤模式,公共交通客流量大幅下降,同時加速了微型交通工具和私家車的使用。交通運輸業者迅速意識到,即時客流分析和非接觸式收費對於安全應對客流波動至關重要。疫情後的復甦策略優先投資於數位化旅遊基礎設施,進一步提升了整合資料平台在建構韌性城市交通生態系統中的價值。

在預測期內,交通行動服務(MaaS) 平台細分市場預計將佔據最大的市場佔有率。

預計在預測期內,交通行動服務市場將佔據最大的市場佔有率,這主要得益於其能夠將多種交通途徑整合到統一的數位介面中,從而實現無縫的行程規劃。消費者對基於訂閱的按需出行解決方案日益成長的偏好,正在推動其在各大都會圈的快速普及。平台開發商與地方政府交通管理部門之間的策略合作,正在擴大服務覆蓋範圍,並創造穩定且持續的訂閱收入。

預計在預測期內,基於雲端的細分市場將呈現最高的複合年成長率。

在整個預測期內,基於雲端的細分市場預計將呈現最高的成長率,這主要得益於其無與倫比的擴充性、成本效益以及處理大量即時異質資料流所需的強大運算能力。雲端基礎設施能夠快速部署新的分析模組並實現無縫的API整合,而無需市政當局維護昂貴的本地硬體。這種柔軟性和更低的整體擁有成本(TCO)正贏得全球城市負責人的廣泛支持。

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,這得益於其在智慧城市建設方面的領先地位、強大的雲端基礎設施以及消費者對多模態應用的強勁需求。美國之所以引領市場,是因為聯邦政府對交通基礎設施現代化投入了大量資金,並且擁有許多領先的出行平台技術提供者。政府對永續出行的有利獎勵以及強勁的技術創新正在推動市場發展。

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,這主要得益於前所未有的都市化速度、政府對智慧交通的大規模投資以及智慧型手機的廣泛普及。中國和印度是關鍵的成長市場,這得益於不斷擴展的數位化旅遊能力和對永續交通解決方案日益成長的需求。當地製造商正在利用豐富的數據開發經濟高效的旅遊平台,以支撐強勁的需求成長。

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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:全球城市交通數據平台市場:依平台類型分類

  • 旅遊即服務 (MaaS) 平台
  • 交通管理平台
  • 車隊管理平台
  • 停車管理平台
  • 微出行平台

第6章 全球城市交通數據平台市場:依部署模式分類

  • 基於雲端的
  • 現場
  • 混合

第7章 全球城市交通數據平台市場:按應用分類

  • 大眾運輸最佳化
  • 交通堵塞管理
  • 智慧停車
  • 電動滑板車和自行車共享
  • 緊急應變路線設置

第8章 全球城市交通數據平台市場:依最終用戶分類

  • 城市/市鎮
  • 大眾運輸
  • 車隊營運商
  • 都市計畫負責人
  • 私人出行服務提供者

第9章 全球城市交通數據平台市場:按地區分類

  • 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10章 戰略市場資訊

  • 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11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12章:公司簡介

  • Moovit(Intel)
  • Citymapper
  • Via Transportation
  • Uber Technologies, Inc.
  • Lyft, Inc.
  • TomTom NV
  • HERE Technologies
  • Cubic Corporation
  • Trafi
  • SkedGo
  • Swiftly
  • Remix(Via)
  • StreetLight Data
  • INRIX
  • PTV Group
  • Systra
  • Keolis
  • Transdev
Product Code: SMRC39712

According to Stratistics MRC, the Global Urban Mobility Data Platforms Market is accounted for $4.80 billion in 2026 and is expected to reach $14.68 billion by 2034 growing at a CAGR of 14.9% during the forecast period. Urban mobility data platforms refer to integrated digital ecosystems that aggregate and analyze diverse transportation data streams to optimize city transit, manage traffic flow, and enhance the commuter experience. These platforms leverage cloud computing, big data analytics, and IoT connectivity to provide real-time insights for public transit optimization, smart parking, micro-mobility management, and emergency response routing. The technology encompasses MaaS integration, dynamic routing algorithms, and predictive modeling to transform urban transportation into seamless, sustainable networks serving municipalities, transit agencies, and private mobility providers.

Market Dynamics:

Driver:

Rapid urbanization and smart city investments

The accelerating pace of global urbanization is compelling city municipalities to adopt comprehensive smart city frameworks that prioritize efficient, sustainable transportation networks. Urban mobility data platforms serve as the foundational intelligence layer for managing complex metropolitan logistics, reducing traffic congestion, and improving air quality. National smart city programs across Asia Pacific, Europe, and the Middle East are allocating dedicated budget streams for integrated mobility platform deployment.

Restraint:

Data privacy regulations and security concerns

The collection, aggregation, and processing of vast volumes of commuter location data, vehicle telemetry, and travel behavior patterns raise significant privacy and security concerns. Strict data protection frameworks impose stringent consent, anonymization, and storage requirements that complicate platform architecture design. Municipal procurement processes increasingly mandate comprehensive data governance audits and cybersecurity certifications, extending deployment timelines and increasing compliance costs.

Opportunity:

Expansion of mobility-as-a-service ecosystems

The growing consumer preference for seamless, multi-modal transportation experiences is driving rapid expansion of Mobility-as-a-Service (MaaS) ecosystems. Urban mobility data platforms providing the underlying integration infrastructure, real-time API connectivity, and fare settlement capabilities are positioned to capture substantial recurring revenue streams. Strategic partnerships between platform providers and municipal transit authorities are creating standardized deployment models that accelerate replication across global cities.

Threat:

Fragmented municipal regulatory environments

The absence of standardized regulatory frameworks governing micro-mobility operations, ride-sharing licensing, and transit data sharing mandates across different municipalities poses a significant scaling threat. Platform providers must invest heavily in localized compliance adaptation and government relations activities for each new market entry. Inconsistent policy approaches to emerging mobility services create operational uncertainty that fragments the global market into isolated regional deployment silos.

Covid-19 Impact:

The pandemic fundamentally disrupted urban commuting patterns, causing dramatic declines in public transit ridership while accelerating adoption of micro-mobility and private vehicle usage. Transit agencies rapidly recognized the critical need for real-time passenger flow analytics and contactless fare collection to manage fluctuating demand safely. Post-pandemic recovery strategies prioritized digital mobility infrastructure investment, reinforcing the value of integrated data platforms for resilient urban transportation ecosystems.

The mobility-as-a-service (MaaS) platforms segment is expected to be the largest during the forecast period

The mobility-as-a-service (MaaS) platforms segment is expected to account for the largest market share during the forecast period, due to their ability to integrate diverse transportation modes into unified digital interfaces for seamless journey planning. Growing consumer preference for subscription-based, on-demand mobility solutions is driving rapid adoption across major metropolitan areas. Strategic partnerships between platform developers and municipal transit authorities are expanding service coverage and generating robust recurring subscription revenues.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate, driven by its unparalleled scalability, cost-efficiency, and computational power required to process massive volumes of real-time heterogeneous data streams. Cloud infrastructure enables rapid deployment of new analytics modules and seamless API integration without requiring municipalities to maintain expensive on-premises hardware. This flexibility and reduced total cost of ownership are driving overwhelming preference among city planners globally.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to early smart city adoption, robust cloud infrastructure, and strong consumer demand for multi-modal transit applications. The United States leads with substantial federal transportation modernization funding and the presence of leading mobility platform technology providers. Favorable government incentives for sustainable mobility and strong technological innovation drive market development.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by unprecedented urbanization rates, massive government investments in smart transportation, and widespread smartphone penetration. China and India represent major growth markets with expanding digital mobility capacities and rising demand for sustainable transit solutions. Local manufacturers are leveraging abundant data to develop cost-effective mobility platforms, sustaining strong demand growth.

Key players in the market

Some of the key players in Global Urban Mobility Data Platforms Market include Moovit (Intel), Citymapper, Via Transportation, Uber Technologies, Inc., Lyft, Inc., TomTom N.V., HERE Technologies, Cubic Corporation, Trafi, SkedGo, Swiftly, Remix (Via), StreetLight Data, INRIX, PTV Group, Systra, Keolis, and Transdev.

Key Developments:

In April 2026, HERE Technologies launched an advanced cloud-based urban mobility platform integrating real-time micro-mobility data with public transit schedules for major European metropolitan areas.

In March 2026, Via Transportation partnered with several North American transit agencies to deploy AI-driven dynamic routing algorithms optimizing on-demand public bus service efficiency.

In February 2026, INRIX acquired a smart parking analytics startup to enhance its urban mobility data platform's capabilities in predicting parking availability and reducing urban congestion.

Platform Types Covered:

  • Mobility-as-a-Service (MaaS) Platforms
  • Traffic Management Platforms
  • Fleet Management Platforms
  • Parking Management Platforms
  • Micro-mobility Platforms

Deployment Models Covered:

  • Cloud-based
  • On-premises
  • Hybrid

Applications Covered:

  • Public Transit Optimization
  • Traffic Congestion Management
  • Smart Parking
  • E-scooter and Bike Sharing
  • Emergency Response Routing

End Users Covered:

  • City Municipalities
  • Transit Agencies
  • Fleet Operators
  • Urban Planners
  • Private Mobility Providers

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 Urban Mobility Data Platforms Market, By Platform Type

  • 5.1 Mobility-as-a-Service (MaaS) Platforms
  • 5.2 Traffic Management Platforms
  • 5.3 Fleet Management Platforms
  • 5.4 Parking Management Platforms
  • 5.5 Micro-mobility Platforms

6 Global Urban Mobility Data Platforms Market, By Deployment Model

  • 6.1 Cloud-based
  • 6.2 On-premises
  • 6.3 Hybrid

7 Global Urban Mobility Data Platforms Market, By Application

  • 7.1 Public Transit Optimization
  • 7.2 Traffic Congestion Management
  • 7.3 Smart Parking
  • 7.4 E-scooter and Bike Sharing
  • 7.5 Emergency Response Routing

8 Global Urban Mobility Data Platforms Market, By End User

  • 8.1 City Municipalities
  • 8.2 Transit Agencies
  • 8.3 Fleet Operators
  • 8.4 Urban Planners
  • 8.5 Private Mobility Providers

9 Global Urban Mobility Data Platforms Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Moovit (Intel)
  • 12.2 Citymapper
  • 12.3 Via Transportation
  • 12.4 Uber Technologies, Inc.
  • 12.5 Lyft, Inc.
  • 12.6 TomTom N.V.
  • 12.7 HERE Technologies
  • 12.8 Cubic Corporation
  • 12.9 Trafi
  • 12.10 SkedGo
  • 12.11 Swiftly
  • 12.12 Remix (Via)
  • 12.13 StreetLight Data
  • 12.14 INRIX
  • 12.15 PTV Group
  • 12.16 Systra
  • 12.17 Keolis
  • 12.18 Transdev

List of Tables

  • Table 1 Global Urban Mobility Data Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Urban Mobility Data Platforms Market Outlook, By Platform Type (2023-2034) ($MN)
  • Table 3 Global Urban Mobility Data Platforms Market Outlook, By Mobility-as-a-Service (MaaS) Platforms (2023-2034) ($MN)
  • Table 4 Global Urban Mobility Data Platforms Market Outlook, By Traffic Management Platforms (2023-2034) ($MN)
  • Table 5 Global Urban Mobility Data Platforms Market Outlook, By Fleet Management Platforms (2023-2034) ($MN)
  • Table 6 Global Urban Mobility Data Platforms Market Outlook, By Parking Management Platforms (2023-2034) ($MN)
  • Table 7 Global Urban Mobility Data Platforms Market Outlook, By Micro-mobility Platforms (2023-2034) ($MN)
  • Table 8 Global Urban Mobility Data Platforms Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 9 Global Urban Mobility Data Platforms Market Outlook, By Cloud-based (2023-2034) ($MN)
  • Table 10 Global Urban Mobility Data Platforms Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 11 Global Urban Mobility Data Platforms Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 12 Global Urban Mobility Data Platforms Market Outlook, By Application (2023-2034) ($MN)
  • Table 13 Global Urban Mobility Data Platforms Market Outlook, By Public Transit Optimization (2023-2034) ($MN)
  • Table 14 Global Urban Mobility Data Platforms Market Outlook, By Traffic Congestion Management (2023-2034) ($MN)
  • Table 15 Global Urban Mobility Data Platforms Market Outlook, By Smart Parking (2023-2034) ($MN)
  • Table 16 Global Urban Mobility Data Platforms Market Outlook, By E-scooter and Bike Sharing (2023-2034) ($MN)
  • Table 17 Global Urban Mobility Data Platforms Market Outlook, By Emergency Response Routing (2023-2034) ($MN)
  • Table 18 Global Urban Mobility Data Platforms Market Outlook, By End User (2023-2034) ($MN)
  • Table 19 Global Urban Mobility Data Platforms Market Outlook, By City Municipalities (2023-2034) ($MN)
  • Table 20 Global Urban Mobility Data Platforms Market Outlook, By Transit Agencies (2023-2034) ($MN)
  • Table 21 Global Urban Mobility Data Platforms Market Outlook, By Fleet Operators (2023-2034) ($MN)
  • Table 22 Global Urban Mobility Data Platforms Market Outlook, By Urban Planners (2023-2034) ($MN)
  • Table 23 Global Urban Mobility Data Platforms Market Outlook, By Private Mobility Providers (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.