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2106610

行動數據平台市場預測至2034年－按平台類型、資料來源、部署模式、分析類型、最終用戶和地區分類的全球分析

Mobility Data Platforms Market Forecasts to 2034 - Global Analysis By Platform Type, Data Source, Deployment, Analytics Type, End User, and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 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，全球行動數據平台市場規模將達到 96 億美元，並在預測期內以 16% 的複合年成長率成長，到 2034 年將達到 314 億美元。

行動出行數據平台是一種數位化解決方案，它收集、整合、處理和分析來自多個來源的交通數據，包括聯網汽車、公共交通、GPS 設備、行動應用程式、交通感測器和基礎設施網路。這些平台利用人工智慧、雲端運算和進階分析技術，為交通管理、車輛營運最佳化、城市規劃、多模態和交通行動服務(MaaS) 提供即時洞察。行動出行數據平台能夠提高營運效率、改善用戶體驗並支援數據驅動的交通規劃。互聯出行解決方案和智慧城市計畫的日益普及正在推動全球市場的成長。

多模態的日益融合

出行數據平台從多個出行服務平台收集交通數據，並將其整合到統一的數位環境中。這使得營運商能夠改善規劃並支援即時交通決策。各國政府和交通管理部門正投資建置互聯出行生態系統。共享出行和智慧型運輸系統的日益普及也提高了資料交換的需求。基於雲端的分析技術進一步提升了營運視覺性。這些趨勢正在推動整合出行平台的普及應用。

分散式交通資料來源

交通數據通常由獨立的組織、營運商和服務供應商使用不同的標準和系統生成，這使得數據整合和互通性更加困難。數據品質的差異會降低出行分析的準確性。此外，各組織在建構統一的資料共用框架方面也面臨挑戰。整合延遲會減緩數位轉型進程。這些挑戰持續影響著出行資料管理的效率。

人工智慧驅動的行動智慧平台

人工智慧 (AI) 使出行平台能夠分析大量交通數據，並從中提取預測性營運洞察。這有助於改善交通管理，並最佳化整個交通網路的資源分配。人工智慧演算法增強了需求預測和路線規劃能力。公營和私營出行業者正在加大對智慧分析的投資。數位化創新正在拓展數據驅動型交通服務的應用。人工智慧的普及正在重塑智慧運輸管理的未來。

行動網路面臨的網路安全風險

出行平台處理大量的營運和乘客數據，因此需要強大的網路安全保護。隨著互聯互通的擴展，數位化交通系統越來越容易受到網路攻擊。安全漏洞會中斷交通服務並危及敏感資訊。各組織必須不斷加強其網路保護和威脅偵測能力。監管合規也使得網路安全要求更加嚴格。維護安全的數位化旅遊生態系統仍然是該產業的重中之重。

新型冠狀病毒（COVID-19）的影響：

新冠疫情期間，由於出行限制導致公共和私人交通服務客流量減少，交通網路受到嚴重衝擊。出行資料平台幫助政府部門監控出行模式，並根據需求變化最佳化交通資源。此外，這些平台還有助於在限制措施放寬後，以資料為導向進行服務恢復規劃。在復原階段，對數位化出行解決方案的需求激增。交通運營商投資先進的分析技術，以提高營運韌性。整個出行產業的數位轉型進程也隨之加速。

在預測期內，聯網汽車領域預計將佔據最大的市場佔有率。

預計在預測期內，聯網汽車細分市場將佔據最大的市場佔有率。這是因為聯網汽車能夠持續產生關於交通狀況和車輛性能的即時數據。這些資訊有助於高效率的交通規劃和智慧移動服務。車輛互聯性的提升正在擴大整個交通網路的數據產生範圍。先進的通訊技術正在改善車輛與基礎設施之間的資訊交流。聯網出行解決方案的日益普及正在推動市場成長。

預計在預測期內，預測分析領域將呈現最高的複合年成長率。

在預測期內，預測分析領域預計將呈現最高的成長率，這主要得益於其能夠利用歷史數據和即時數據來預測交通模式、最佳化運輸營運並改善基礎設施規劃。這些功能有助於交通運輸機構做出積極主動的營運決策。人工智慧和機器學習技術正在提高預測的準確性。各機構正擴大採用預測工具來提升服務效率。智慧交通規劃的需求持續成長。

市佔率最大的地區：

在預測期內，由於智慧交通系統的積極應用，北美預計將佔據最大的市場佔有率。美國透過對互聯出行技術的大規模投資引領著區域市場，而加拿大則在主要城市擴展智慧交通基礎設施。墨西哥正在部署數位化旅遊平台，以改善城市交通管理和物流營運。持續的創新和完善的數位基礎設施為這些平台的廣泛部署提供了支援。該地區在出行數據創新領域繼續發揮主導作用。

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，這主要得益於智慧城市的快速發展。中國正透過智慧出行計畫拓展其數位交通網路，而印度則在其主要大都會圈投資建設綜合城市交通平台。日本正在推動互聯交通技術，韓國則持續強化其人工智慧驅動的智慧運輸生態系統。不斷推進的都市化和對數位基礎設施的投資正在創造強勁的市場機會。

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  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
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  • 區域分類
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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 全球行動數據平台市場：依平台類型分類

  • 多模態旅遊平台
  • 艦隊數據平台
  • 交通運輸數據平台
  • 位置智慧平台
  • 其他平台類型

第6章 全球行動數據平台市場：依資料來源分類

  • 聯網汽車
  • 智慧型運輸系統
  • 行動裝置
  • 大眾運輸系統
  • 其他數據來源

第7章 全球行動數據平台市場：依部署方式分類

  • 基於雲端的
  • 現場

第8章 全球行動數據平台市場：依分析類型分類

  • 說明分析
  • 預測分析
  • 指示性分析
  • 即時分析
  • 其他分析類型

第9章 全球行動數據平台市場：依最終用戶分類

  • 運輸
  • 行動服務供應商
  • 物流公司
  • 智慧城市管理機構
  • 其他最終用戶

第10章 全球行動數據平台市場：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11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12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13章：公司簡介

  • PTV Group
  • INRIX, Inc.
  • TomTom NV
  • Here Technologies
  • Esri
  • Cisco Systems, Inc.
  • IBM Corporation
  • Oracle Corporation
  • Hexagon AB
  • Trimble Inc.
  • Hitachi, Ltd.
  • Siemens Mobility GmbH
  • Kapsch TrafficCom AG
  • Cubic Corporation
  • Geotab Inc.
Product Code: SMRC38667

According to Stratistics MRC, the Global Mobility Data Platforms Market is accounted for $9.6 billion in 2026 and is expected to reach $31.4 billion by 2034 growing at a CAGR of 16% during the forecast period. Mobility data platforms are digital solutions that collect, integrate, process, and analyze transportation data from multiple sources, including connected vehicles, public transit systems, GPS devices, mobile applications, traffic sensors, and infrastructure networks. These platforms leverage artificial intelligence, cloud computing, and advanced analytics to provide real-time insights for traffic management, fleet optimization, urban planning, multimodal transportation, and mobility-as-a-service (MaaS). Mobility data platforms improve operational efficiency, enhance traveler experiences, and support data-driven transportation planning. Increasing deployment of connected mobility solutions and smart city initiatives is driving global market growth.

Market Dynamics:

Driver:

Growing multimodal transport integration

Mobility data platforms collect and integrate transportation data from multiple mobility services into a unified digital environment. They help operators improve planning and support real-time transportation decisions. Governments and transport agencies are investing in connected mobility ecosystems. The growing use of shared mobility and intelligent transport systems is increasing data exchange requirements. Cloud-based analytics are further improving operational visibility. These developments are strengthening the adoption of integrated mobility platforms.

Restraint:

Fragmented transportation data sources

Transportation data is often generated by independent agencies operators and service providers using different standards and systems. This makes data integration and interoperability more challenging. Inconsistent data quality can reduce the accuracy of mobility analytics. Organizations also face difficulties in establishing unified data-sharing frameworks. Integration delays may slow digital transformation initiatives. These challenges continue to affect the efficiency of mobility data management.

Opportunity:

AI-powered mobility intelligence platforms

Artificial intelligence enables mobility platforms to analyze large transportation datasets and generate predictive operational insights. It supports better traffic management and resource optimization across transportation networks. AI algorithms improve demand forecasting and route planning capabilities. Public and private mobility operators are increasing investments in intelligent analytics. Digital innovation is expanding the use of data-driven transportation services. The adoption of AI is reshaping the future of smart mobility management.

Threat:

Cybersecurity risks to mobility networks

Mobility platforms process large volumes of operational and passenger data that require strong cybersecurity protection. Digital transportation systems are becoming increasingly vulnerable to cyberattacks as connectivity expands. Security breaches can disrupt transportation services and compromise sensitive information. Organizations must continuously strengthen network protection and threat detection capabilities. Regulatory compliance also increases cybersecurity requirements. Maintaining secure digital mobility ecosystems remains a critical industry priority.

Covid-19 Impact:

The COVID-19 pandemic disrupted transportation networks as travel restrictions reduced passenger movement across public and private mobility services. Mobility data platforms helped authorities monitor travel patterns and optimize transportation resources during changing demand conditions. They also supported data-driven planning for service restoration after restrictions were eased. Demand for digital mobility solutions increased during the recovery phase. Transport operators invested in advanced analytics to improve operational resilience. Digital transformation initiatives accelerated across the mobility sector.

The connected vehicles segment is expected to be the largest during the forecast period

The connected vehicles segment is expected to account for the largest market share during the forecast period as connected vehicles continuously generate real-time data related to traffic conditions vehicle performance. This information supports efficient transportation planning and intelligent mobility services. Increasing vehicle connectivity is expanding data generation across transport networks. Advanced communication technologies are improving information exchange between vehicles and infrastructure. Growing deployment of connected mobility solutions is supporting market expansion.

The predictive analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the predictive analytics segment is predicted to witness the highest growth rate due to its ability to forecast traffic patterns optimize transport operations and improve infrastructure planning using historical and real-time data. These capabilities help transportation agencies make proactive operational decisions. AI and machine learning technologies are enhancing forecasting accuracy. Organizations are increasingly adopting predictive tools to improve service efficiency. Demand for intelligent transportation planning continues to rise.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to strong adoption of intelligent transportation systems. The United States leads the regional market through large-scale investments in connected mobility technologies while Canada is expanding smart transportation infrastructure across major cities. Mexico is adopting digital mobility platforms to improve urban transportation management and logistics operations. Continuous innovation and established digital infrastructure support widespread platform deployment. The region continues to set the pace for mobility data innovation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid smart city development. China is expanding digital transportation networks through intelligent mobility initiatives while India is investing in integrated urban mobility platforms across major metropolitan areas. Japan is advancing connected transportation technologies and South Korea continues strengthening AI-enabled smart mobility ecosystems. Rising urbanization and digital infrastructure investments are creating strong market opportunities.

Key players in the market

Some of the key players in Mobility Data Platforms Market include PTV Group, INRIX, Inc., TomTom N.V., Here Technologies, Esri, Cisco Systems, Inc., IBM Corporation, Oracle Corporation, Hexagon AB, Trimble Inc., Hitachi, Ltd., Siemens Mobility GmbH, Kapsch TrafficCom AG, Cubic Corporation and Geotab Inc.

Key Developments:

In July 2026, Siemens Mobility GmbH entered a long-term consortium contract to deliver digital infrastructure for the Berlin S-Bahn expansion project. The deployment leverages their Railigent X application suite to supply predictive maintenance diagnostics and automated train orchestration capabilities.

In October 2025, Cisco Systems, Inc. launched its Catalyst industrial routing architecture specifically designed for roadside and trackside command loops. The hardware establishes highly secure, ultra-low latency edge communication nodes tailored for automated highway and signaling networks.

Platform Types Covered:

  • Multimodal Mobility Platforms
  • Fleet Data Platforms
  • Traffic Data Platforms
  • Location Intelligence Platforms
  • Other Platform Types

Data Sources Covered:

  • Connected Vehicles
  • Intelligent Transportation Systems
  • Mobile Devices
  • Public Transit Systems
  • Other Data Sources

Deployments Covered:

  • Cloud-Based
  • On-Premise

Analytics Types Covered:

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Real-Time Analytics
  • Other Analytics Types

End Users Covered:

  • Transportation Agencies
  • Mobility Service Providers
  • Logistics Companies
  • Smart City Authorities
  • Other End Users

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 Data Platforms Market, By Platform Type

  • 5.1 Multimodal Mobility Platforms
  • 5.2 Fleet Data Platforms
  • 5.3 Traffic Data Platforms
  • 5.4 Location Intelligence Platforms
  • 5.5 Other Platform Types

6 Global Mobility Data Platforms Market, By Data Source

  • 6.1 Connected Vehicles
  • 6.2 Intelligent Transportation Systems
  • 6.3 Mobile Devices
  • 6.4 Public Transit Systems
  • 6.5 Other Data Sources

7 Global Mobility Data Platforms Market, By Deployment

  • 7.1 Cloud-Based
  • 7.2 On-Premise

8 Global Mobility Data Platforms Market, By Analytics Type

  • 8.1 Descriptive Analytics
  • 8.2 Predictive Analytics
  • 8.3 Prescriptive Analytics
  • 8.4 Real-Time Analytics
  • 8.5 Other Analytics Types

9 Global Mobility Data Platforms Market, By End User

  • 9.1 Transportation Agencies
  • 9.2 Mobility Service Providers
  • 9.3 Logistics Companies
  • 9.4 Smart City Authorities
  • 9.5 Other End Users

10 Global Mobility Data Platforms Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 PTV Group
  • 13.2 INRIX, Inc.
  • 13.3 TomTom N.V.
  • 13.4 Here Technologies
  • 13.5 Esri
  • 13.6 Cisco Systems, Inc.
  • 13.7 IBM Corporation
  • 13.8 Oracle Corporation
  • 13.9 Hexagon AB
  • 13.10 Trimble Inc.
  • 13.11 Hitachi, Ltd.
  • 13.12 Siemens Mobility GmbH
  • 13.13 Kapsch TrafficCom AG
  • 13.14 Cubic Corporation
  • 13.15 Geotab Inc.

List of Tables

  • Table 1 Global Mobility Data Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Mobility Data Platforms Market, By Platform Type (2023-2034) ($MN)
  • Table 3 Global Mobility Data Platforms Market, By Multimodal Mobility Platforms (2023-2034) ($MN)
  • Table 4 Global Mobility Data Platforms Market, By Fleet Data Platforms (2023-2034) ($MN)
  • Table 5 Global Mobility Data Platforms Market, By Traffic Data Platforms (2023-2034) ($MN)
  • Table 6 Global Mobility Data Platforms Market, By Location Intelligence Platforms (2023-2034) ($MN)
  • Table 7 Global Mobility Data Platforms Market, By Other Platform Types (2023-2034) ($MN)
  • Table 8 Global Mobility Data Platforms Market, By Data Source (2023-2034) ($MN)
  • Table 9 Global Mobility Data Platforms Market, By Connected Vehicles (2023-2034) ($MN)
  • Table 10 Global Mobility Data Platforms Market, By Intelligent Transportation Systems (2023-2034) ($MN)
  • Table 11 Global Mobility Data Platforms Market, By Mobile Devices (2023-2034) ($MN)
  • Table 12 Global Mobility Data Platforms Market, By Public Transit Systems (2023-2034) ($MN)
  • Table 13 Global Mobility Data Platforms Market, By Other Data Sources (2023-2034) ($MN)
  • Table 14 Global Mobility Data Platforms Market, By Deployment (2023-2034) ($MN)
  • Table 15 Global Mobility Data Platforms Market, By Cloud-Based (2023-2034) ($MN)
  • Table 16 Global Mobility Data Platforms Market, By On-Premise (2023-2034) ($MN)
  • Table 17 Global Mobility Data Platforms Market, By Analytics Type (2023-2034) ($MN)
  • Table 18 Global Mobility Data Platforms Market, By Descriptive Analytics (2023-2034) ($MN)
  • Table 19 Global Mobility Data Platforms Market, By Predictive Analytics (2023-2034) ($MN)
  • Table 20 Global Mobility Data Platforms Market, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 21 Global Mobility Data Platforms Market, By Real-Time Analytics (2023-2034) ($MN)
  • Table 22 Global Mobility Data Platforms Market, By Other Analytics Types (2023-2034) ($MN)
  • Table 23 Global Mobility Data Platforms Market, By End User (2023-2034) ($MN)
  • Table 24 Global Mobility Data Platforms Market, By Transportation Agencies (2023-2034) ($MN)
  • Table 25 Global Mobility Data Platforms Market, By Mobility Service Providers (2023-2034) ($MN)
  • Table 26 Global Mobility Data Platforms Market, By Logistics Companies (2023-2034) ($MN)
  • Table 27 Global Mobility Data Platforms Market, By Smart City Authorities (2023-2034) ($MN)
  • Table 28 Global Mobility Data Platforms Market, By Other End Users (2023-2034) ($MN)

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