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市場調查報告書
商品編碼
2037515

智慧城市交通智慧市場預測至2034年—按組件、技術、應用、部署模式、最終用戶和區域分類的全球分析

Smart Urban Mobility Intelligence Market Forecasts to 2034- Global Analysis By Component (Hardware, Software and Services), Technology, Application, Deployment, 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，全球智慧城市交通智慧市場規模將達到 86.5 億美元，在預測期內將以 18.6% 的複合年成長率成長，到 2034 年將達到 338.9 億美元。

智慧城市交通智慧是指利用先進的數據分析、互聯互通和數位技術，最佳化城市環境中的交通系統。這包括收集和分析來自車輛、基礎設施、通勤者和旅行服務的數據，以改善交通流量、緩解擁塞並提升通勤體驗。這種智慧整合了智慧型運輸系統(ITS)、即時路線最佳化、多模態交通協調和需求預測等解決方案。透過運用人工智慧 (AI) 和預測建模，它為政府機構和使用者提供動態決策支援。該方法旨在建立永續、高效且以用戶為中心的出行網路，使其與城市發展和環境目標相契合。

都市化與智慧城市理念

快速的城市擴張推動了對智慧人群管理解決方案的需求。世界各國政府都在投資建構智慧城市框架，以提高基礎建設效率、交通便利性和公共安全。智慧城市交通智慧透過實現對人口流動的即時監測和預測，發揮著至關重要的作用。物聯網設備、監控系統和整合指揮中心的日益普及，進一步加速了智慧城市交通智慧的應用，確保在人口稠密的大都會圈實現資源最佳化利用和城市規劃的改進。

對隱私和資料保護的擔憂

儘管智慧城市交通智慧具有諸多優勢，但在資料隱私和保護方面仍面臨嚴峻挑戰。個人和行為資料的收集與分析引發了公民和監管機構的擔憂。嚴格的資料管治法律和合規要求可能會限制其大規模部署。此外，資料外洩和敏感資訊濫用的風險也可能導致相關人員猶豫不決，進而造成部署延遲，並凸顯了對安全、透明且符合倫理規範的分析系統的需求。

人工智慧和影像分析技術的進步

人工智慧 (AI) 和影像分析技術的持續進步，為智慧城市交通智慧市場開闢了新的成長機會。臉部辨識、行為分析和預測建模等功能的增強，提高了準確性和效率。與邊緣運算和雲端平台的整合，實現了更快的資料處理和即時決策。這些創新使管理部門能夠主動管理人群、預防事故並最佳化城市運營，加速了智慧城市和大規模公共設施的廣泛應用。

高昂的實施成本

高昂的初始投資和營運成本仍然是智慧城市交通智慧解決方案廣泛應用的主要障礙。部署需要複雜的硬體、軟體平台、熟練的人員以及持續的維護。在發展中地區和小規模的城市，預算限制會限制方案的普及。此外，與現有基礎設施的整合可能既複雜又昂貴。這些財務挑戰會減緩市場滲透速度，尤其是在價格敏感的地區。

新型冠狀病毒（COVID-19）的影響：

新冠疫情顯著加速了智慧城市交通智慧技術的應用，各國政府紛紛採取措施監測人口流動並實施社交距離措施。即時追蹤和數據驅動的洞察對於管理公共衛生風險至關重要。然而，預算重新分配和經濟不確定性暫時減緩了對新基礎設施的投資。疫情過後，人們的關注點轉向韌性和緊急準備，這推動了對先進分析解決方案的需求，以應對未來的危機並確保更安全的城市環境。

在預測期內，公共安全和安保產業預計將佔據最大的市場佔有率。

預計在預測期內，公共安全領域將佔據最大的市場佔有率，這主要得益於城市環境中對即時監控和威脅偵測日益成長的需求。各國政府和執法機關正擴大採用人群分析技術來預防事故、管理大規模集會並快速應對緊急情況。與智慧監控系統的整合能夠提升情境察覺，並支援主動決策。對國家安全和城市安全的日益關注進一步鞏固了該領域的主導地位。

預計在預測期內，零售連鎖店和購物中心板塊將呈現最高的複合年成長率。

在預測期內，由於對消費者行為的了解和對門市營運最佳化的需求日益成長，零售連鎖店和購物中心領域預計將呈現最高的成長率。客流分析使零售商能夠分析客流量、停留時間和移動模式，從而改善客戶體驗和銷售策略。隨著智慧零售和數位轉型的興起，企業正在利用數據驅動的洞察來改進門市佈局規劃、人員配備和行銷效率，這推動了該領域技術的快速應用。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這主要得益於其先進的技術基礎設施和對智慧都市區，正在提升營運效率和安全性，從而鞏固該地區在全球智慧城市交通智慧市場的主導地位。

複合年成長率最高的地區：

在預測期內，由於快速的都市化和對智慧城市發展投資的增加，北美預計將呈現最高的複合年成長率。美國和加拿大等國家正致力於城市基礎設施現代化和公共安全系統的完善。人口密度的增加以及對高效能人群管理解決方案日益成長的需求，進一步加速了相關技術的應用。政府措施和數位技術的進步共同全部區域創造了巨大的成長機會。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 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：全球智慧城市交通智慧市場：依組件分類

  • 硬體
    • 感應器
    • 相機
    • 物聯網設備
  • 軟體
    • 分析平台
    • 視覺化工具
  • 服務
    • 諮詢
    • 整合與部署

第6章：全球智慧城市交通智慧市場：依技術分類

  • 電腦視覺
  • 人工智慧和機器學習
  • 巨量資料分析
  • 物聯網和基於感測器的分析
  • 基於雲端的解決方案

第7章 全球智慧城市交通智慧市場：依應用分類

  • 智慧城市
  • 交通/交通管理
  • 零售和商業設施
  • 賽事和體育場管理
  • 公共安全保障
  • 旅遊與飯店

第8章：全球智慧城市交通智慧市場：依部署方式分類

  • 現場
  • 雲

第9章 全球智慧城市交通智慧市場：依最終用戶分類

  • 政府/市政當局
  • 交通管理局
  • 零售連鎖店和購物中心
  • 其他最終用戶

第10章：全球智慧城市交通智慧市場：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

  • NEC Corporation
  • Nokia Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Huawei Technologies Co., Ltd.
  • Sensormatic Solutions
  • Axis Communications AB
  • Genetec Inc.
  • Crowd Dynamics（International）
  • Sightcorp BV
  • Walkbase
  • Spigit, Inc.
  • CrowdANALYTIX, Inc.
  • Wavestore
  • Skyfii
Product Code: SMRC35929

According to Stratistics MRC, the Global Smart Urban Mobility Intelligence Market is accounted for $8.65 billion in 2026 and is expected to reach $33.89 billion by 2034 growing at a CAGR of 18.6% during the forecast period. Smart Urban Mobility Intelligence refers to the use of advanced data analytics, connectivity, and digital technologies to optimize transportation systems within urban environments. It involves collecting and analyzing data from vehicles, infrastructure, commuters, and mobility services to improve traffic flow, reduce congestion, and enhance commuter experiences. This intelligence integrates solutions such as intelligent transport systems, real-time route optimization, multimodal transport coordination, and demand forecasting. By leveraging artificial intelligence and predictive modeling, it supports dynamic decision-making for both authorities and users. The approach aims to create sustainable, efficient, and user-centric mobility networks that align with urban development and environmental goals.

Market Dynamics:

Driver:

Rising urbanization and smart city initiatives

Rapid urban expansion is intensifying the need for intelligent crowd management solutions. Governments worldwide are investing in smart city frameworks to improve infrastructure efficiency, mobility, and public safety. Smart Urban Mobility Intelligence plays a vital role by enabling real-time monitoring and predictive insights into population movement. Increasing deployment of IoT devices, surveillance systems, and integrated command centers is further accelerating adoption, ensuring optimized resource utilization and improved urban planning across densely populated metropolitan regions.

Restraint:

Privacy and data protection concerns

Despite its benefits, Smart Urban Mobility Intelligence faces significant challenges related to data privacy and protection. The collection and analysis of personal and behavioral data raise concerns among citizens and regulatory authorities. Strict data governance laws and compliance requirements can limit large-scale implementation. Additionally, the risk of data breaches and misuse of sensitive information creates hesitation among stakeholders, potentially slowing adoption and increasing the need for secure, transparent, and ethically designed analytics systems.

Opportunity:

Advancements in AI and video analytics

Continuous advancements in artificial intelligence and video analytics are unlocking new growth opportunities in the Smart Urban Mobility Intelligence market. Enhanced capabilities such as facial recognition, behavioral analysis, and predictive modeling are improving accuracy and efficiency. Integration with edge computing and cloud platforms enables faster data processing and real-time decision making. These innovations empower authorities to proactively manage crowds, prevent incidents, and optimize urban operations, driving widespread adoption across smart cities and large scale public venues.

Threat:

High implementation costs

High initial investment and operational costs remains a major barrier to the widespread adoption of Smart Urban Mobility Intelligence solutions. Deployment requires advanced hardware, software platforms, skilled personnel, and ongoing maintenance. For developing regions and smaller municipalities, budget constraints can limit implementation. Additionally, integration with existing infrastructure can be complex and costly. These financial challenges may slow market penetration, particularly in price sensitive regions.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the adoption of Smart Urban Mobility Intelligence as governments sought to monitor population movement and enforce social distancing measures. Real-time tracking and data driven insights became essential for managing public health risks. However, budget reallocations and economic uncertainties temporarily slowed investments in new infrastructure. Post-pandemic, the focus has shifted toward resilience and preparedness, increasing demand for advanced analytics solutions to manage future crises and ensure safer urban environments.

The public safety & security segment is expected to be the largest during the forecast period

The public safety & security segment is expected to account for the largest market share during the forecast period, due to growing need for real time surveillance and threat detection in urban environments. Governments and law enforcement agencies are increasingly adopting crowd analytics to prevent accidents, manage large gatherings, and respond quickly to emergencies. Integration with smart surveillance systems enhances situational awareness, enabling proactive decision making. The rising focus on national security and urban safety further strengthens the segment's leading position.

The retail chains & malls segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail chains & malls segment is predicted to witness the highest growth rate, due to increasing need to understand consumer behavior and optimize store operations. Crowd analytics enables retailers to analyze foot traffic, dwell time, and movement patterns, enhancing customer experience and sales strategies. With the rise of smart retail and digital transformation, businesses are leveraging data driven insights to improve layout planning, staffing, and marketing effectiveness, fueling rapid adoption in this segment.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to its advanced technological infrastructure and early adoption of smart city initiatives. The presence of leading technology providers, strong government support, and significant investments in public safety solutions drive market growth. Additionally, widespread deployment of AI, IoT, and data analytics platforms across urban centers enhances operational efficiency and security, solidifying the region's dominant position in the global Smart Urban Mobility Intelligence market.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to rapid urbanization and increasing investments in smart city development. Countries such as US, and Canada are focusing on modernizing urban infrastructure and improving public safety systems. Growing population density and rising demand for efficient crowd management solutions further accelerate adoption. Government initiatives, coupled with advancements in digital technologies, are fostering significant growth opportunities across the region.

Key players in the market

Some of the key players in Smart Urban Mobility Intelligence Market include NEC Corporation, Nokia Corporation, IBM Corporation, Microsoft Corporation, Huawei Technologies Co., Ltd., Sensormatic Solutions, Axis Communications AB, Genetec Inc., Crowd Dynamics (International), Sightcorp BV, Walkbase, Spigit, Inc., CrowdANALYTIX, Inc., Wavestore and Skyfii.

Key Developments:

In February 2026, IBM introduced the next-generation autonomous storage portfolio featuring IBM Flash System 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:

  • Hardware
  • Software
  • Services

Technologies Covered:

  • Computer Vision
  • AI & Machine Learning
  • Big Data Analytics
  • IoT & Sensor Based Analytics
  • Cloud Based Solutions

Applications Covered:

  • Smart Cities
  • Transportation & Traffic Management
  • Retail & Commercial Spaces
  • Event & Stadium Management
  • Public Safety & Security
  • Tourism & Hospitality

Deployments Covered:

  • On Premises
  • Cloud

End Users Covered:

  • Government & Municipalities
  • Transportation Authorities
  • Retail Chains & Malls
  • 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 Smart Urban Mobility Intelligence Market, By Component

  • 5.1 Hardware
    • 5.1.1 Sensors
    • 5.1.2 Cameras
    • 5.1.3 IoT Devices
  • 5.2 Software
    • 5.2.1 Analytics Platforms
    • 5.2.2 Visualization Tools
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration & Deployment

6 Global Smart Urban Mobility Intelligence Market, By Technology

  • 6.1 Computer Vision
  • 6.2 AI & Machine Learning
  • 6.3 Big Data Analytics
  • 6.4 IoT & Sensor Based Analytics
  • 6.5 Cloud Based Solutions

7 Global Smart Urban Mobility Intelligence Market, By Application

  • 7.1 Smart Cities
  • 7.2 Transportation & Traffic Management
  • 7.3 Retail & Commercial Spaces
  • 7.4 Event & Stadium Management
  • 7.5 Public Safety & Security
  • 7.6 Tourism & Hospitality

8 Global Smart Urban Mobility Intelligence Market, By Deployment

  • 8.1 On Premises
  • 8.2 Cloud

9 Global Smart Urban Mobility Intelligence Market, By End User

  • 9.1 Government & Municipalities
  • 9.2 Transportation Authorities
  • 9.3 Retail Chains & Malls
  • 9.4 Other End Users

10 Global Smart Urban Mobility Intelligence 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 NEC Corporation
  • 13.2 Nokia Corporation
  • 13.3 IBM Corporation
  • 13.4 Microsoft Corporation
  • 13.5 Huawei Technologies Co., Ltd.
  • 13.6 Sensormatic Solutions
  • 13.7 Axis Communications AB
  • 13.8 Genetec Inc.
  • 13.9 Crowd Dynamics (International)
  • 13.10 Sightcorp BV
  • 13.11 Walkbase
  • 13.12 Spigit, Inc.
  • 13.13 CrowdANALYTIX, Inc.
  • 13.14 Wavestore
  • 13.15 Skyfii

List of Tables

  • Table 1 Global Smart Urban Mobility Intelligence Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Smart Urban Mobility Intelligence Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Smart Urban Mobility Intelligence Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Smart Urban Mobility Intelligence Market Outlook, By Sensors (2023-2034) ($MN)
  • Table 5 Global Smart Urban Mobility Intelligence Market Outlook, By Cameras (2023-2034) ($MN)
  • Table 6 Global Smart Urban Mobility Intelligence Market Outlook, By IoT Devices (2023-2034) ($MN)
  • Table 7 Global Smart Urban Mobility Intelligence Market Outlook, By Software (2023-2034) ($MN)
  • Table 8 Global Smart Urban Mobility Intelligence Market Outlook, By Analytics Platforms (2023-2034) ($MN)
  • Table 9 Global Smart Urban Mobility Intelligence Market Outlook, By Visualization Tools (2023-2034) ($MN)
  • Table 10 Global Smart Urban Mobility Intelligence Market Outlook, By Services (2023-2034) ($MN)
  • Table 11 Global Smart Urban Mobility Intelligence Market Outlook, By Consulting (2023-2034) ($MN)
  • Table 12 Global Smart Urban Mobility Intelligence Market Outlook, By Integration & Deployment (2023-2034) ($MN)
  • Table 13 Global Smart Urban Mobility Intelligence Market Outlook, By Technology (2023-2034) ($MN)
  • Table 14 Global Smart Urban Mobility Intelligence Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 15 Global Smart Urban Mobility Intelligence Market Outlook, By AI & Machine Learning (2023-2034) ($MN)
  • Table 16 Global Smart Urban Mobility Intelligence Market Outlook, By Big Data Analytics (2023-2034) ($MN)
  • Table 17 Global Smart Urban Mobility Intelligence Market Outlook, By IoT & Sensor Based Analytics (2023-2034) ($MN)
  • Table 18 Global Smart Urban Mobility Intelligence Market Outlook, By Cloud Based Solutions (2023-2034) ($MN)
  • Table 19 Global Smart Urban Mobility Intelligence Market Outlook, By Application (2023-2034) ($MN)
  • Table 20 Global Smart Urban Mobility Intelligence Market Outlook, By Smart Cities (2023-2034) ($MN)
  • Table 21 Global Smart Urban Mobility Intelligence Market Outlook, By Transportation & Traffic Management (2023-2034) ($MN)
  • Table 22 Global Smart Urban Mobility Intelligence Market Outlook, By Retail & Commercial Spaces (2023-2034) ($MN)
  • Table 23 Global Smart Urban Mobility Intelligence Market Outlook, By Event & Stadium Management (2023-2034) ($MN)
  • Table 24 Global Smart Urban Mobility Intelligence Market Outlook, By Public Safety & Security (2023-2034) ($MN)
  • Table 25 Global Smart Urban Mobility Intelligence Market Outlook, By Tourism & Hospitality (2023-2034) ($MN)
  • Table 26 Global Smart Urban Mobility Intelligence Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 27 Global Smart Urban Mobility Intelligence Market Outlook, By On Premises (2023-2034) ($MN)
  • Table 28 Global Smart Urban Mobility Intelligence Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 29 Global Smart Urban Mobility Intelligence Market Outlook, By End User (2023-2034) ($MN)
  • Table 30 Global Smart Urban Mobility Intelligence Market Outlook, By Government & Municipalities (2023-2034) ($MN)
  • Table 31 Global Smart Urban Mobility Intelligence Market Outlook, By Transportation Authorities (2023-2034) ($MN)
  • Table 32 Global Smart Urban Mobility Intelligence Market Outlook, By Retail Chains & Malls (2023-2034) ($MN)
  • Table 33 Global Smart Urban Mobility Intelligence Market Outlook, 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.