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2000542

城市交通分析市場預測至2034年－全球分析（按組件、資料來源、分析類型、部署模式、應用、最終用戶和區域分類）

Urban Traffic Analytics Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Data Source, Analytics Type, Deployment Type, Application, End User and By 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，全球城市交通分析市場規模將達到 50.7 億美元，並在預測期內以 7.8% 的複合年成長率成長，到 2034 年將達到 92.5 億美元。

城市交通分析是指利用先進的數據分析技術來監測、評估和最佳化城市交通網路中的交通流量。它整合了來自感測器、攝影機、GPS設備、聯網汽車和行動應用程式的數據，從而提供關於交通流量、擁塞模式和道路使用情況的即時預測資訊。透過利用人工智慧、機器學習和巨量資料分析等技術，城市交通分析支援旨在改善交通管理、提高道路安全、縮短出行時間以及開發更高效、永續和更智慧的城市交通系統的智慧城市計畫。

快速的都市化和汽車數量的增加

快速的都市化和車輛數量的持續成長是推動城市交通分析市場發展的主要動力。城市人口的擴張給現有的交通基礎設施帶來了沉重的負擔，導致交通堵塞、通勤時間延長和事故率上升。城市交通分析解決方案能夠幫助市政當局分析交通模式、最佳化號誌燈配時並提高道路利用效率。隨著城市尋求更智慧的出行解決方案來有效管理日益成長的交通流量，先進交通分析平台的應用也在穩步成長。

高昂的實施和基礎設施成本

高昂的實施成本和基礎設施成本仍然是市場發展的主要限制因素。實施一套全面的交通分析系統需要對感測器、攝影機、通訊網路、雲端平台和高級分析軟體進行大量投資。此外，由於維護、系統整合和聘請熟練人員等需求，營運成本也會增加。許多發展中城市和市政當局面臨預算限制，這限制了它們大規模實施智慧型運輸系統（ITS）的能力，減緩了系統的普及速度。

人工智慧、物聯網和巨量資料技術的進步

人工智慧 (AI)、物聯網 (IoT) 和巨量資料技術的進步為市場創造了巨大的機會。現代交通管理系統越來越依賴連網感測器、智慧攝影機和即時數據處理來提供準確的交通資訊。人工智慧驅動的預測分析有助於預測擁塞模式並最佳化訊號控制。隨著城市將智慧技術融入交通基礎設施，這些創新有望顯著提高交通效率並擴大城市交通分析解決方案的應用範圍。

資料隱私和安全問題

對資料隱私和安全的擔憂對市場構成重大威脅。這些系統從監視錄影機、聯網汽車、行動裝置和GPS平台收集並處理大量資料。這些資料的廣泛使用引發了人們對個人隱私、資料濫用和潛在網路威脅的擔憂。各國政府和監管機構正在加強對嚴格資料保護政策的執行力度，這可能會使系統部署和資料管理流程更加複雜，從而可能減緩城市交通分析解決方案的普及。

新冠疫情的影響：

新冠疫情對市場產生了複雜的影響。疫情初期，封鎖和旅行限制措施顯著降低了交通流量，暫時抑制了對交通監控和分析解決方案的需求。然而，疫情加速了城市基礎設施的數位轉型，凸顯了即時交通監控的重要性。隨著疫情后城市致力於建構更具韌性和智慧化的交通系統，對先進的城市交通分析解決方案的需求也逐漸成長。

在預測期內，社群媒體部分預計將佔據最大佔有率。

在預測期內，社群媒體預計將佔據最大的市場佔有率。這主要是因為社群媒體平台作為即時交通資訊的重要資訊來源，其應用日益廣泛。從使用者貼文、位置標籤和事故更新收集的數據，能夠快速反映路況、事故和擁塞情況。交通管理部門正擴大將傳統資料來源與社群媒體分析結合，以增強對城市交通網路情境察覺，並縮短回應時間。

在預測期內，壅塞分析細分市場預計將呈現最高的複合年成長率。

在預測期內，擁塞分析領域預計將呈現最高的成長率，這主要得益於快速發展的都市區對高效交通流量管理日益成長的需求。擁塞分析解決方案可協助管理部門識別交通瓶頸、分析尖峰時段的交通模式，並最佳化號誌燈配時和路線規劃。隨著城市將縮短出行時間、減少排放氣體和改善通勤體驗作為優先事項，對先進的擁塞監測和預測分析解決方案的需求預計將顯著成長。

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，這主要得益於智慧城市計畫和對先進交通基礎設施的大力投資。主要技術供應商的存在、智慧型運輸系統(ITS) 的廣泛部署以及基於人工智慧的分析平台的日益普及，都推動了市場成長。此外，政府對交通管理現代化改造的支持以及日益成長的都市區交通堵塞緩解需求，也促進了全部區域城市交通分析解決方案的採用。

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，這主要得益於快速的都市化、不斷成長的人口密度以及主要大都會圈車輛保有量的增加。中國、印度、日本和韓國等國的政府正積極投資智慧城市計劃和智慧型運輸系統（ITS）。除了對高效交通管理日益成長的需求外，數位基礎設施的擴展和智慧交通監控舉措預計也將顯著加速該地區城市交通分析市場的成長。

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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
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球城市交通分析市場：依組件分類

  • 解決方案
  • 服務

第6章：全球城市交通分析市場：依資料來源分類

  • 物聯網感測器
  • CCTV和視訊串流
  • GPS和行動數據
  • 社群媒體

第7章 全球城市交通分析市場：依分析類型分類

  • 說明分析
  • 診斷分析
  • 預測分析
  • 指示性分析

第8章：全球城市交通分析市場：依部署類型分類

  • 雲
  • 現場

第9章：全球城市交通分析市場：依應用領域分類

  • 交通管理
  • 事件檢測與回應
  • 交通堵塞分析
  • 智慧停車
  • 公共運輸最佳化
  • 安全與合規

第10章：全球城市交通分析市場：依最終用戶分類

  • 政府/市政當局
  • 交通管理局
  • 私人出行服務供應商
  • 智慧城市
  • 基礎設施開發公司

第11章 全球城市交通分析市場：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

  • Siemens AG
  • IBM Corporation
  • TomTom International BV
  • INRIX, Inc.
  • Iteris, Inc.
  • Kapsch TrafficCom AG
  • Cubic Corporation
  • Swarco AG
  • Econolite Group Inc.
  • HERE Technologies
  • Microsoft
  • Cisco Systems, Inc.
  • Q-Free ASA
  • Miovision Technologies Inc.
  • Trafficware
Product Code: SMRC34488

According to Stratistics MRC, the Global Urban Traffic Analytics Market is accounted for $5.07 billion in 2026 and is expected to reach $9.25 billion by 2034 growing at a CAGR of 7.8% during the forecast period. Urban Traffic Analytics refers to the use of advanced data analysis technologies to monitor, evaluate, and optimize traffic movement within urban transportation networks. It integrates data from sensors, cameras, GPS devices, connected vehicles, and mobile applications to provide real time and predictive insights into traffic flow, congestion patterns, and road utilization. By leveraging technologies such as artificial intelligence, machine learning, and big data analytics, urban traffic analytics helps city authorities improve traffic management, enhance road safety, reduce travel time, and support smart city initiatives aimed at developing more efficient, sustainable, and intelligent urban mobility systems.

Market Dynamics:

Driver:

Rapid Urbanization and Rising Vehicle Numbers

Rapid urbanization and the continuous increase in vehicle ownership are major factors driving the growth of the urban traffic analytics market. Expanding urban populations place immense pressure on existing transportation infrastructure, leading to traffic congestion, longer commute times, and higher accident rates. Urban traffic analytics solutions enable city authorities to analyze traffic patterns, optimize signal timings, and improve road utilization. As cities seek smarter mobility solutions to manage growing traffic volumes efficiently, the adoption of advanced traffic analytics platforms is steadily increasing.

Restraint:

High Implementation and Infrastructure Costs

High implementation and infrastructure costs remain a significant restraint for the market. Deploying comprehensive traffic analytics systems requires substantial investments in sensors, cameras, communication networks, cloud platforms, and advanced analytics software. In addition, maintenance, system integration, and skilled workforce requirements further increase operational costs. Many developing cities and municipalities operate under budget constraints, which limit their ability to implement large scale intelligent transportation systems, thereby slowing the widespread adoption.

Opportunity:

Advancements in AI, IoT, and Big Data Technologies

Advancements in artificial intelligence, Internet of Things (IoT), and big data technologies present significant opportunities for the market. Modern traffic management systems increasingly rely on connected sensors, smart cameras, and real-time data processing to deliver accurate traffic insights. AI-powered predictive analytics helps forecast congestion patterns, and enhance traffic signal coordination. As cities continue integrating smart technologies into transportation infrastructure, these innovations are expected to significantly improve traffic efficiency and expand the scope of urban traffic analytics solutions.

Threat:

Data Privacy and Security Concerns

Data privacy and security concerns pose a notable threat to the market. These systems collect and process large volumes of data from surveillance cameras, connected vehicles, mobile devices, and GPS platforms. The extensive use of such data raises concerns regarding personal privacy, data misuse, and potential cyber threats. Governments and regulatory bodies are increasingly enforcing strict data protection policies, which may complicate system deployment and data management processes, potentially slowing the adoption of urban traffic analytics solutions.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the market. During the initial stages of the pandemic, lockdowns and travel restrictions significantly reduced traffic volumes, temporarily lowering the demand for traffic monitoring and analytics solutions. However, the pandemic also accelerated digital transformation in urban infrastructure and highlighted the importance of real-time mobility monitoring. As cities focus on building resilient and intelligent transportation systems in the post pandemic period, the demand for advanced urban traffic analytics solutions is gradually strengthening.

The social media segment is expected to be the largest during the forecast period

The social media segment is expected to account for the largest market share during the forecast period, due to growing use of social media platforms as valuable sources of real time traffic information. Data collected from user posts, location tags, and incident updates provide rapid insights into road conditions, accidents, and congestion events. Traffic management authorities increasingly integrate social media analytics with traditional data sources to enhance situational awareness and improve response times in urban transportation networks.

The congestion analysis segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the congestion analysis segment is predicted to witness the highest growth rate, due to the increasing need for efficient traffic flow management in rapidly growing urban areas. Congestion analysis solutions enable authorities to identify traffic bottlenecks, analyze peak-hour patterns, and optimize signal timing and route planning. With cities prioritizing reduced travel times, lower emissions, and improved commuter experiences, the demand for advanced congestion monitoring and predictive analytics solutions is expected to grow significantly.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to strong investments in smart city initiatives and advanced transportation infrastructure. The presence of leading technology providers, widespread adoption of intelligent transportation systems, and increasing use of AI-based analytics platforms contribute to market growth. Additionally, government support for traffic management modernization and the growing need to address urban congestion are driving the adoption of urban traffic analytics solutions across the region.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid urbanization, growing population density, and increasing vehicle ownership across major metropolitan areas. Governments in countries such as China, India, Japan, and South Korea are actively investing in smart city projects and intelligent transportation systems. The rising demand for efficient mobility management, along with expanding digital infrastructure and smart traffic monitoring initiatives, is expected to significantly accelerate the growth of the urban traffic analytics market in the region.

Key players in the market

Some of the key players in Urban Traffic Analytics Market include Siemens AG, IBM Corporation, TomTom International BV, INRIX, Inc., Iteris, Inc., Kapsch TrafficCom AG, Cubic Corporation, Swarco AG, Econolite Group Inc., HERE Technologies, Microsoft, Cisco Systems, Inc., Q-Free ASA, Miovision Technologies Inc. and Trafficware.

Key Developments:

In February 2026, IBM introduced the next-generation autonomous storage portfolio featuring IBM FlashSystem 5600, 7600, and 9600, powered by agentic AI. The systems automate storage management, improve cyber-resilience, and optimize enterprise data operations, helping organizations manage AI workloads more efficiently. This launch strengthens IBM's hybrid cloud and AI infrastructure ecosystem by reducing manual IT operations and enabling autonomous data storage environments.

In January 2026, IBM partnered with telecom group e& to deploy enterprise-grade agentic AI solutions for governance and regulatory compliance. The collaboration focuses on implementing advanced AI agents capable of automating compliance monitoring, operational decision-making, and enterprise analytics. Announced at the World Economic Forum in Davos, the initiative demonstrates IBM's growing focus on enterprise AI ecosystems.

Components Covered:

  • Solutions
  • Services

Data Sources Covered:

  • IoT Sensors
  • CCTV & Video Feeds
  • GPS & Mobile Data
  • Social Media

Analytics Types Covered:

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

Deployment Types Covered:

  • Cloud
  • On Premises

Applications Covered:

  • Traffic Management
  • Incident Detection & Response
  • Congestion Analysis
  • Smart Parking
  • Public Transit Optimization
  • Safety & Compliance

End Users Covered:

  • Government & Municipalities
  • Transportation Authorities
  • Private Mobility Service Providers
  • Smart Cities
  • Infrastructure Developers

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 Traffic Analytics Market, By Component

  • 5.1 Solutions
  • 5.2 Services

6 Global Urban Traffic Analytics Market, By Data Source

  • 6.1 IoT Sensors
  • 6.2 CCTV & Video Feeds
  • 6.3 GPS & Mobile Data
  • 6.4 Social Media

7 Global Urban Traffic Analytics Market, By Analytics Type

  • 7.1 Descriptive Analytics
  • 7.2 Diagnostic Analytics
  • 7.3 Predictive Analytics
  • 7.4 Prescriptive Analytics

8 Global Urban Traffic Analytics Market, By Deployment Type

  • 8.1 Cloud
  • 8.2 On Premises

9 Global Urban Traffic Analytics Market, By Application

  • 9.1 Traffic Management
  • 9.2 Incident Detection & Response
  • 9.3 Congestion Analysis
  • 9.4 Smart Parking
  • 9.5 Public Transit Optimization
  • 9.6 Safety & Compliance

10 Global Urban Traffic Analytics Market, By End User

  • 10.1 Government & Municipalities
  • 10.2 Transportation Authorities
  • 10.3 Private Mobility Service Providers
  • 10.4 Smart Cities
  • 10.5 Infrastructure Developers

11 Global Urban Traffic Analytics 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 Siemens AG
  • 14.2 IBM Corporation
  • 14.3 TomTom International BV
  • 14.4 INRIX, Inc.
  • 14.5 Iteris, Inc.
  • 14.6 Kapsch TrafficCom AG
  • 14.7 Cubic Corporation
  • 14.8 Swarco AG
  • 14.9 Econolite Group Inc.
  • 14.10 HERE Technologies
  • 14.11 Microsoft
  • 14.12 Cisco Systems, Inc.
  • 14.13 Q-Free ASA
  • 14.14 Miovision Technologies Inc.
  • 14.15 Trafficware

List of Tables

  • Table 1 Global Urban Traffic Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Urban Traffic Analytics Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Urban Traffic Analytics Market Outlook, By Solutions (2023-2034) ($MN)
  • Table 4 Global Urban Traffic Analytics Market Outlook, By Services (2023-2034) ($MN)
  • Table 5 Global Urban Traffic Analytics Market Outlook, By Data Source (2023-2034) ($MN)
  • Table 6 Global Urban Traffic Analytics Market Outlook, By IoT Sensors (2023-2034) ($MN)
  • Table 7 Global Urban Traffic Analytics Market Outlook, By CCTV & Video Feeds (2023-2034) ($MN)
  • Table 8 Global Urban Traffic Analytics Market Outlook, By GPS & Mobile Data (2023-2034) ($MN)
  • Table 9 Global Urban Traffic Analytics Market Outlook, By Social Media (2023-2034) ($MN)
  • Table 10 Global Urban Traffic Analytics Market Outlook, By Analytics Type (2023-2034) ($MN)
  • Table 11 Global Urban Traffic Analytics Market Outlook, By Descriptive Analytics (2023-2034) ($MN)
  • Table 12 Global Urban Traffic Analytics Market Outlook, By Diagnostic Analytics (2023-2034) ($MN)
  • Table 13 Global Urban Traffic Analytics Market Outlook, By Predictive Analytics (2023-2034) ($MN)
  • Table 14 Global Urban Traffic Analytics Market Outlook, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 15 Global Urban Traffic Analytics Market Outlook, By Deployment Type (2023-2034) ($MN)
  • Table 16 Global Urban Traffic Analytics Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 17 Global Urban Traffic Analytics Market Outlook, By On Premises (2023-2034) ($MN)
  • Table 18 Global Urban Traffic Analytics Market Outlook, By Application (2023-2034) ($MN)
  • Table 19 Global Urban Traffic Analytics Market Outlook, By Traffic Management (2023-2034) ($MN)
  • Table 20 Global Urban Traffic Analytics Market Outlook, By Incident Detection & Response (2023-2034) ($MN)
  • Table 21 Global Urban Traffic Analytics Market Outlook, By Congestion Analysis (2023-2034) ($MN)
  • Table 22 Global Urban Traffic Analytics Market Outlook, By Smart Parking (2023-2034) ($MN)
  • Table 23 Global Urban Traffic Analytics Market Outlook, By Public Transit Optimization (2023-2034) ($MN)
  • Table 24 Global Urban Traffic Analytics Market Outlook, By Safety & Compliance (2023-2034) ($MN)
  • Table 25 Global Urban Traffic Analytics Market Outlook, By End User (2023-2034) ($MN)
  • Table 26 Global Urban Traffic Analytics Market Outlook, By Government & Municipalities (2023-2034) ($MN)
  • Table 27 Global Urban Traffic Analytics Market Outlook, By Transportation Authorities (2023-2034) ($MN)
  • Table 28 Global Urban Traffic Analytics Market Outlook, By Private Mobility Service Providers (2023-2034) ($MN)
  • Table 29 Global Urban Traffic Analytics Market Outlook, By Smart Cities (2023-2034) ($MN)
  • Table 30 Global Urban Traffic Analytics Market Outlook, By Infrastructure Developers (2023-2034) ($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.