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市場調查報告書
商品編碼
2112947

行動智慧平台市場預測至2034年－按平台類型、資料來源、分析能力、部署模式、最終使用者和地區分類的全球分析

Mobility Intelligence Platforms Market Forecasts to 2034 - Global Analysis By Platform Type, Data Source, Analytics Capability, Deployment Model, End User, and 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，全球行動智慧平台市場規模將達到 86 億美元，並在預測期內以 17.6% 的複合年成長率成長，到 2034 年將達到 314 億美元。

出行智慧平台是一種數位化解決方案，它收集、整合並分析來自聯網汽車、公共交通、行動裝置、基礎設施和物聯網感測器的交通數據，從而為出行規劃和營運提供可執行的洞察。這些平台利用人工智慧、機器學習、雲端運算和預測分析技術，最佳化交通流量、車輛運作、多模態和城市出行策略。出行智慧平台支援數據驅動的決策，提高交通效率，提升使用者體驗。對智慧城市、互聯出行和智慧型運輸系統(ITS) 的持續投入，正在推動出行智慧平台在全球範圍內的廣泛應用。

對行動性分析的需求日益成長

城市尋求緩解交通堵塞、最佳化交通流量並提升通勤安全，推動了對出行分析需求的激增。即時儀錶板幫助政府機構預測尖峰負載並動態調整公共交通路線。物流公司正在採用出行智慧技術來縮短配送時間並降低燃油成本。保險公司正在利用分析技術評估其車隊的風險狀況。大學和研究機構正在提供用於預測交通模型的複雜演算法。聯網汽車的興起正在創造更豐富的分析資料集。所有這些因素共同推動出行智慧技術走向主流應用。

分散的交通資料來源

大眾運輸、共享出行、微出行和道路網路的資料碎片化使得整合困難重重。政府機構往往依賴孤立的舊有系統，這些系統無法與現代平台對接。私人企業不願共用數據，限制了生態系統的透明度。小規模的市政當局缺乏整合不同資料集的資金。分析人員面臨協調不一致格式和不完整資料流的挑戰。這種拼湊式的資料結構降低了預測模型的準確性。因此，資料來源碎片化仍是推廣應用的主要障礙。

人工智慧驅動的出行最佳化解決方案

人工智慧驅動的最佳化正在為動態交通管理和多模態協作開闢新途徑。平台可以預測壅塞點，提案替代路線，並平衡公車、火車和共享出行之間的需求。公共產業正在探索如何利用人工智慧驅動的分析技術，將電動車充電與交通流量同步。政府正在試行基於即時交通資訊的自適應收費系統。企業透過將車輛營運與城市交通模式同步來提高效率。邊緣運算的進步正在實現更快、更本地化的決策。這些機會正在鞏固人工智慧作為下一代出行智慧基礎的地位。

與綜合出行服務提供者的競爭

與綜合出行服務提供者的競爭日益激烈。大規模出行即服務 (MaaS) 平台正將分析功能直接整合到其生態系統中，從而降低了對獨立智慧解決方案的需求。小規模的供應商面臨著失去其作為捆綁式服務提供者的地位的風險，這些服務提供者將票務、支付和分析功能整合到單一應用程式中。公共機構也可能更傾向於綜合平台而非細分領域的分析工具。旅客需要的是單一應用程式的便利性，而不是分散的服務。隨著市場整合的加劇，獨立供應商正面臨擠壓。除非他們進一步加強差異化策略，否則競爭將始終構成持續的威脅。

新型冠狀病毒（COVID-19）的影響：

疫情封鎖擾亂了交通流量，造成了難以預測的需求模式。大眾運輸客流量驟降，而物流和配送需求卻激增。各機構開始利用分析技術即時監測不斷變化的出行趨勢。各國政府在其復甦計畫中強調非接觸式監控和自適應交通管制。企業加快了對雲端智慧技術的投資，以確保營運韌性。民眾也更意識到即時出行資訊的重要性。新冠疫情最終再次印證了分析技術在管理動盪的交通生態系統中的重要性。

在預測期內，交通智慧平台領域預計將佔據最大的市場佔有率。

交通インテリジェンスプラットフォームのセグメントは、予測期間中に最大の市場シェアを占めると予想されます。これは、各都市が渋滞管理、安全性、排放氣體削減を優先しているためです。行政機関は、交差点、高速道路、交通回廊を監視するためにこれらのシステムに依存しています。企業は、物流や車両のルート設定を最適化するために交通インテリジェンスを活用しています。政府は、都市區のボトルネックを解消するために、大規模導入に資金を提供しています。旅行者は、よりスムーズな通勤や移動時間の短縮という恩恵を受けています。AIを活用した交通モニタリング技術の進歩により、精度と擴充性が向上しています。これにより、交通インテリジェンスプラットフォームは市場の基幹セグメントとなっています。

預計智慧城市政府領域在預測期內將呈現最高的複合年成長率。

在預測期內，智慧城市政府領域預計將呈現最高的成長率，這主要得益於城市規劃和多模態的協調。政府正在部署智慧平台，以整合系統的方式管理公車、地鐵、微出行和電動車充電。企業正與政府機構合作，提供端到端的解決方案。市民正受益於服務可靠性和永續性的提升。物聯網感測器和邊緣分析技術實現了對城市交通的即時監測。中小企業在停車最佳化和行人流量分析等專業應用領域找到了商機。

市佔率最大的地區：

在預測期內，由於對智慧基礎設施的大力投資，北美預計將佔據最大的市場佔有率。在美國，分析技術正被應用於高速公路、物流樞紐和大都會圈交通系統。各公司正在投資預測演算法和雲端平台。政府機構正在尋求可靠的解決方案來管理交通堵塞和安全問題。法律規範在促進創新的同時，也確保了合規性。政府正在資助主要城市的智慧運輸先導計畫。

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，這主要得益於汽車保有量的成長和智慧城市投資的增加。中國、印度和日本正在擴大分析項目，以管理其密集的交通網路。中產階級的壯大正在推動對高效出行解決方案的需求。各國政府正在推動人工智慧驅動的交通技術領域的國內創新。當地企業正在擴大生產規模，以滿足區域和全球市場的需求。多模態和微出行分析技術的進步正在加速這些技術的應用。

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  • 區域分類
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

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：全球行動智慧平台市場：依平台類型分類

  • 交通智慧平台
  • 艦隊智慧平台
  • 旅行者智慧平台
  • 城市交通智慧平台
  • 其他平台類型

第6章：全球行動智慧平台市場：依資料來源分類

  • 聯網汽車數據
  • 行動裝置數據
  • 物聯網感測器數據
  • GPS和遠端資訊處理數據
  • 其他數據來源

第7章 全球行動智慧平台市場：依分析功能分類

  • 說明分析
  • 預測分析
  • 指示性分析
  • 即時分析
  • 其他分析功能

第8章 全球行動智慧平台市場：依部署模式分類

  • 基於雲端的
  • 現場

第9章 全球行動智慧平台市場：依最終用戶分類

  • 交通管理局
  • 物流公司
  • 智慧城市促進組織
  • 行動服務供應商
  • 其他最終用戶

第10章：全球行動智慧平台市場：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

  • INRIX Inc.
  • TomTom NV
  • PTV Group
  • Esri
  • Cubic Corporation
  • Siemens AG
  • IBM Corporation
  • Hitachi, Ltd.
  • Trimble Inc.
  • Hexagon AB
  • Iteris, Inc.
  • Kapsch TrafficCom AG
  • Oracle Corporation
  • NEC Corporation
  • Huawei Technologies Co., Ltd.
Product Code: SMRC38988

According to Stratistics MRC, the Global Mobility Intelligence Platforms Market is accounted for $8.6 billion in 2026 and is expected to reach $31.4 billion by 2034 growing at a CAGR of 17.6% during the forecast period. Mobility intelligence platforms are digital solutions that collect, integrate, and analyze transportation data from connected vehicles, public transit, mobile devices, infrastructure, and IoT sensors to generate actionable insights for mobility planning and operations. These platforms utilize artificial intelligence, machine learning, cloud computing, and predictive analytics to optimize traffic flow, fleet performance, multimodal transportation, and urban mobility strategies. Mobility intelligence platforms support data-driven decision-making, improve transportation efficiency, and enhance traveler experiences. Increasing investments in smart cities, connected mobility, and intelligent transportation systems are driving the global adoption of mobility intelligence platforms.

Market Dynamics:

Driver:

Growing demand for mobility analytics

The surge in mobility analytics demand is being fueled by cities seeking to manage congestion, optimize traffic flows, and improve commuter safety. Real-time dashboards are helping agencies anticipate peak loads and reroute transit dynamically. Logistics operators are adopting mobility intelligence to cut delivery times and fuel costs. Insurance firms are leveraging analytics to assess risk profiles for fleets. Universities and research labs are contributing advanced algorithms for predictive traffic modeling. The rise of connected vehicles is generating richer datasets for analysis. Together, these forces are pushing mobility intelligence into the mainstream.

Restraint:

Fragmented transportation data sources

Data fragmentation across public transit, ride-hailing, micromobility, and road networks makes integration difficult. Agencies often rely on siloed legacy systems that don't communicate with modern platforms. Private operators hesitate to share proprietary data, limiting ecosystem visibility. Smaller municipalities lack the funding to unify disparate datasets. Analysts face challenges in reconciling inconsistent formats and incomplete streams. This patchwork reduces the accuracy of predictive models. As a result, fragmented data sources remain a major barrier to adoption.

Opportunity:

AI-powered mobility optimization solutions

AI-powered optimization is opening new avenues for dynamic traffic management and multimodal coordination. Platforms can forecast congestion hotspots, recommend alternate routes, and balance demand across buses, trains, and shared mobility. Utilities are exploring AI-driven analytics to align EV charging with traffic flows. Governments are piloting adaptive pricing schemes based on real-time traffic intelligence. Enterprises gain efficiency by synchronizing fleet operations with urban mobility patterns. Advances in edge computing allow faster, localized decision-making. This opportunity positions AI as the backbone of next-generation mobility intelligence.

Threat:

Competition from integrated mobility providers

Competition from integrated mobility providers is intensifying. Large MaaS platforms are embedding analytics directly into their ecosystems, reducing demand for standalone intelligence solutions. Smaller vendors risk being overshadowed by bundled offerings that combine ticketing, payments, and analytics in one app. Public agencies may prefer comprehensive platforms over niche analytics tools. Travelers gravitate toward single-app convenience rather than fragmented services. Market consolidation is squeezing independent providers. Unless differentiation strategies are sharpened, competition will remain a persistent threat.

Covid-19 Impact:

Pandemic lockdowns disrupted traffic flows, creating unpredictable demand patterns. Ridership on public transit dropped sharply, while logistics and delivery surged. Agencies turned to analytics to monitor shifting mobility trends in real time. Governments emphasized contactless monitoring and adaptive traffic control in recovery programs. Enterprises accelerated investment in cloud-based intelligence to ensure resilience. Citizens became more aware of the value of real-time mobility insights. Covid-19 ultimately reinforced the importance of analytics in managing volatile transport ecosystems.

The traffic intelligence platforms segment is expected to be the largest during the forecast period

The traffic intelligence platforms segment is expected to account for the largest market share during the forecast period because cities prioritize congestion management, safety, and emissions reduction. Agencies rely on these systems to monitor intersections, highways, and transit corridors. Enterprises use traffic intelligence to optimize logistics and fleet routing. Governments are funding large-scale deployments to reduce urban bottlenecks. Travelers benefit from smoother commutes and reduced travel times. Advances in AI-driven traffic monitoring enhance precision and scalability. This makes traffic intelligence platforms the anchor segment of the market.

The smart city agencies segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the smart city agencies segment is predicted to witness the highest growth rate due to urban planning and multimodal transport coordination. Governments are deploying intelligence platforms to manage buses, metros, micromobility, and EV charging in unified systems. Enterprises are partnering with agencies to deliver end-to-end solutions. Citizens benefit from improved service reliability and sustainability. IoT sensors and edge analytics are enabling real-time monitoring of urban mobility. Smaller firms find opportunities in specialized applications like parking optimization and pedestrian flow analysis.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to strong investment in smart infrastructure. The U.S. is deploying analytics across highways, logistics hubs, and metropolitan transit systems. Enterprises are investing in predictive algorithms and cloud-based platforms. Agencies demand reliable solutions to manage congestion and safety. Regulatory frameworks encourage innovation while enforcing compliance. Governments are funding pilot projects for smart mobility in major cities.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rising vehicle ownership, and smart city investments. China, India, and Japan are scaling up analytics projects to manage dense traffic networks. Expanding middle-class populations are fueling demand for efficient mobility solutions. Governments are promoting domestic innovation in AI-powered transport technologies. Local firms are expanding production to serve regional and global markets. Advances in multimodal coordination and micromobility analytics accelerate adoption.

Key players in the market

Some of the key players in Mobility Intelligence Platforms Market include INRIX Inc., TomTom N.V., PTV Group, Esri, Cubic Corporation, Siemens AG, IBM Corporation, Hitachi, Ltd., Trimble Inc., Hexagon AB, Iteris, Inc., Kapsch TrafficCom AG, Oracle Corporation, NEC Corporation and Huawei Technologies Co., Ltd.

Key Developments:

In April 2026, Siemens AG expanded its intelligent traffic systems portfolio by launching its cloud-based Mobility Orchestrator software. The platform leverages predictive machine learning to coordinate urban traffic signal control, prioritize public transit routes, and dynamic emergency vehicle guidance across complex smart city road networks.

In February 2026, Trimble Inc. introduced an updated high-precision GNSS positioning and positioning engine designed specifically for driverless freight fleets. The solution enhances real-time lane-level guidance and continuous route optimization across dense highway corridors.

Platform Types Covered:

  • Traffic Intelligence Platforms
  • Fleet Intelligence Platforms
  • Traveler Intelligence Platforms
  • Urban Mobility Intelligence Platforms
  • Other Platform Types

Data Sources Covered:

  • Connected Vehicle Data
  • Mobile Device Data
  • IoT Sensor Data
  • GPS & Telematics Data
  • Other Data Sources

Analytics Capabilities Covered:

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

Deployment Models Covered:

  • Cloud-Based
  • On-Premise

End Users Covered:

  • Transportation Authorities
  • Logistics Companies
  • Smart City Agencies
  • Mobility Service Providers
  • 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 Intelligence Platforms Market, By Platform Type

  • 5.1 Traffic Intelligence Platforms
  • 5.2 Fleet Intelligence Platforms
  • 5.3 Traveler Intelligence Platforms
  • 5.4 Urban Mobility Intelligence Platforms
  • 5.5 Other Platform Types

6 Global Mobility Intelligence Platforms Market, By Data Source

  • 6.1 Connected Vehicle Data
  • 6.2 Mobile Device Data
  • 6.3 IoT Sensor Data
  • 6.4 GPS & Telematics Data
  • 6.5 Other Data Sources

7 Global Mobility Intelligence Platforms Market, By Analytics Capability

  • 7.1 Descriptive Analytics
  • 7.2 Predictive Analytics
  • 7.3 Prescriptive Analytics
  • 7.4 Real-Time Analytics
  • 7.5 Other Analytics Capabilities

8 Global Mobility Intelligence Platforms Market, By Deployment Model

  • 8.1 Cloud-Based
  • 8.2 On-Premise

9 Global Mobility Intelligence Platforms Market, By End User

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

10 Global Mobility Intelligence 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 INRIX Inc.
  • 13.2 TomTom N.V.
  • 13.3 PTV Group
  • 13.4 Esri
  • 13.5 Cubic Corporation
  • 13.6 Siemens AG
  • 13.7 IBM Corporation
  • 13.8 Hitachi, Ltd.
  • 13.9 Trimble Inc.
  • 13.10 Hexagon AB
  • 13.11 Iteris, Inc.
  • 13.12 Kapsch TrafficCom AG
  • 13.13 Oracle Corporation
  • 13.14 NEC Corporation
  • 13.15 Huawei Technologies Co., Ltd.

List of Tables

  • Table 1 Global Mobility Intelligence Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Mobility Intelligence Platforms Market, By Platform Type (2023-2034) ($MN)
  • Table 3 Global Mobility Intelligence Platforms Market, By Traffic Intelligence Platforms (2023-2034) ($MN)
  • Table 4 Global Mobility Intelligence Platforms Market, By Fleet Intelligence Platforms (2023-2034) ($MN)
  • Table 5 Global Mobility Intelligence Platforms Market, By Traveler Intelligence Platforms (2023-2034) ($MN)
  • Table 6 Global Mobility Intelligence Platforms Market, By Urban Mobility Intelligence Platforms (2023-2034) ($MN)
  • Table 7 Global Mobility Intelligence Platforms Market, By Other Platform Types (2023-2034) ($MN)
  • Table 8 Global Mobility Intelligence Platforms Market, By Data Source (2023-2034) ($MN)
  • Table 9 Global Mobility Intelligence Platforms Market, By Connected Vehicle Data (2023-2034) ($MN)
  • Table 10 Global Mobility Intelligence Platforms Market, By Mobile Device Data (2023-2034) ($MN)
  • Table 11 Global Mobility Intelligence Platforms Market, By IoT Sensor Data (2023-2034) ($MN)
  • Table 12 Global Mobility Intelligence Platforms Market, By GPS & Telematics Data (2023-2034) ($MN)
  • Table 13 Global Mobility Intelligence Platforms Market, By Other Data Sources (2023-2034) ($MN)
  • Table 14 Global Mobility Intelligence Platforms Market, By Analytics Capability (2023-2034) ($MN)
  • Table 15 Global Mobility Intelligence Platforms Market, By Descriptive Analytics (2023-2034) ($MN)
  • Table 16 Global Mobility Intelligence Platforms Market, By Predictive Analytics (2023-2034) ($MN)
  • Table 17 Global Mobility Intelligence Platforms Market, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 18 Global Mobility Intelligence Platforms Market, By Real-Time Analytics (2023-2034) ($MN)
  • Table 19 Global Mobility Intelligence Platforms Market, By Other Analytics Capabilities (2023-2034) ($MN)
  • Table 20 Global Mobility Intelligence Platforms Market, By Deployment Model (2023-2034) ($MN)
  • Table 21 Global Mobility Intelligence Platforms Market, By Cloud-Based (2023-2034) ($MN)
  • Table 22 Global Mobility Intelligence Platforms Market, By On-Premise (2023-2034) ($MN)
  • Table 23 Global Mobility Intelligence Platforms Market, By End User (2023-2034) ($MN)
  • Table 24 Global Mobility Intelligence Platforms Market, By Transportation Authorities (2023-2034) ($MN)
  • Table 25 Global Mobility Intelligence Platforms Market, By Logistics Companies (2023-2034) ($MN)
  • Table 26 Global Mobility Intelligence Platforms Market, By Smart City Agencies (2023-2034) ($MN)
  • Table 27 Global Mobility Intelligence Platforms Market, By Mobility Service Providers (2023-2034) ($MN)
  • Table 28 Global Mobility Intelligence Platforms Market, By Other End Users (2023-2034) ($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.