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市场调查报告书
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1994480

2026年智慧城市交通人工智慧（AI）全球市场报告

Artificial Intelligence (AI) In Smart City Mobility Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，智慧城市交通领域的人工智慧（AI）市场发展迅速。预计该市场规模将从2025年的75.4亿美元成长到2026年的92.1亿美元，复合年增长率（CAGR）高达22.2%。过去几年的成长主要归功于都市化趋势、交通拥堵问题、智慧型运输系统（ITS）的早期应用、配备感测器的城市基础设施的扩展以及智慧城市示范计画投资的增加等因素。

未来几年，智慧城市交通领域的人工智慧（AI）市场预计将迎来显着成长。预计到2030年，该市场规模将达到207.2亿美元，复合年增长率（CAGR）为22.5%。预测期内的成长预计将受到以下因素的推动：自动驾驶和联网汽车生态系统的扩展、对智慧运输基础设施投资的增加、对低排放量城市交通解决方案日益增长的需求、人工智慧在城市规划工具中的整合不断推进，以及数据驱动型交通管理平台的扩展。预测期内的关键趋势包括：人工智慧驱动的交通优化系统应用日益广泛、智慧公共交通分析的普及、自动驾驶平台整合的推进、智慧停车管理解决方案的扩展，以及对即时城市交通洞察的日益重视。

预计未来几年，自动驾驶汽车的日益普及将推动人工智慧在智慧城市出行市场的发展。自动驾驶汽车是一种先进的交通系统，它利用感测器和人工智慧技术实现无人驾驶。随着监管核准的推进以及无人驾驶共享出行和出行服务在都市区的商业化部署不断扩大，自动驾驶汽车的部署量也在不断增长，公众的接受度和使用率也在不断提高。人工智慧驱动的智慧城市出行解决方案提供交通预测、即时路线优化和联网汽车资料管理等关键基础设施功能，使自动驾驶汽车能够在城市交通生态系统中安全且有效率地运作。例如，总部位于美国的非营利组织公路安全保险协会（IIHS）在2023年12月预测，2025年，全球连网自动驾驶汽车的数量将达到约35亿辆，到2030年将进一步增加至45亿辆。因此，自动驾驶汽车的日益普及预计将推动人工智慧在智慧城市出行市场的发展。

在智慧城市交通市场人工智慧（AI）领域，主要企业正专注于开发先进的软体解决方案，以实现预测性维护，例如基于人工智慧和车联网（V2X）技术的智慧交通管理系统。其目标是透过对城市交通基础设施进行即时监控、早期故障检测和预防性维护，从而获得竞争优势。人工智慧和车联网将人工智慧演算法与车联网通讯技术相结合，实现了车辆、基础设施、行人和网路之间的即时数据交换，优化了交通运行，并支援智慧城市交通系统的预测性维护。例如，2024年10月，公共交通和出行机构——迪拜道路和交通管理局（DRTA）推出了车联网网络，旨在实现车辆与基础设施之间的即时通信，从而提高交通安全性和效率。这是一项智慧运输计划，实现了车辆与道路基础设施之间的即时通讯（车联网）。它将交通号誌和车载系统连接起来，提供最新的号誌灯状态、速度引导和路况资讯。透过利用互联数据，此网路有助于优化主要干道的交通流量，缓解拥堵，并提高出行时间的可靠性。此外，它还透过及时发出警报和改善路口可视性来支援更安全的驾驶。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球智慧城市交通人工智慧（AI）市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 自主系统、机器人、智慧运输
    • 物联网、智慧基础设施、互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 电动交通和交通运输电气化
  • 主要趋势
    • 人工智慧驱动的交通优化系统的扩展
    • 扩大智慧公共交通分析技术的应用
    • 自动驾驶平台的整合正在稳步推进。
    • 扩展智慧停车管理解决方案
    • 加强我们对城市交通即时洞察的关注

第五章 终端用户产业市场分析

  • 政府机构
  • 运输
  • 都市计画机构
  • 公共运输业者
  • 私人出行服务提供者

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球智慧城市交通人工智慧（AI）市场：PESTEL分析（政治、社会、科技、环境、法律因素、驱动因素与限制因素）
  • 全球智慧城市移动人工智慧（AI）市场规模、对比及成长率分析
  • 全球智慧城市行动人工智慧（AI）市场表现：规模与成长，2020-2025年
  • 全球智慧城市行动人工智慧（AI）市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按组件
  • 软体、硬体和服务
  • 部署模式
  • 本地部署、云端
  • 透过技术
  • 机器学习与深度学习、电脑视觉、感测器融合
  • 透过使用
  • 交通管理、公共运输、停车管理、自动驾驶汽车、共乘及其他应用。
  • 最终用户
  • 政府、运输公司、私人企业和其他最终用户
  • 按类型细分：软体
  • 交通分析平台、出行管理系统、资料视觉化解决方案、预测分析工具、路线最佳化软体、事件侦测系统
  • 按类型细分：硬体
  • 交通感测器、监视录影机、通讯设备、边缘运算单元、控制中心设备
  • 按类型细分：服务
  • 系统整合服务、咨询服务、维护与支援服务、资料管理服务、实施与培训服务、行动管理服务

第十章 区域与国别分析

  • 全球智慧城市交通人工智慧（AI）市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球智慧城市交通人工智慧（AI）市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十一章 亚太市场

第十二章：中国市场

第十三章：印度市场

第十四章：日本市场

第十五章：澳洲市场

第十六章：印尼市场

第十七章：韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第20章 西欧市场

第21章英国市场

第22章：德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章：东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章：美国市场

第三十章：加拿大市场

第31章：南美市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第三十五章 市场监理与投资环境

第36章：竞争格局与公司概况

  • 智慧城市交通领域的人工智慧（AI）市场：竞争格局与市场占有率（2024年）
  • 智慧城市交通领域的人工智慧（AI）市场：公司估值矩阵
  • 智慧城市交通领域的人工智慧（AI）市场：公司概况
    • Metropolis Technologies Inc.
    • Waymo LLC
    • Via Transportation Inc.
    • EasyMile SAS
    • INRIX Inc.

第37章 其他大型企业和创新企业

  • Optibus Ltd., May Mobility Inc., Smart Parking Limited, Swiftly Inc., Mundys SpA, NoTraffic Ltd., Zoox Inc., NextBillion.ai Pte. Ltd., GoodVision Labs sro, Autofleet Inc., Valerann Ltd., GridMatrix Ltd., Videonetics Technology Private Limited, Watsoo Express Private Limited, Mobipar Inc.

第38章：全球市场竞争基准分析与仪錶板

第39章：预计进入市场的Start-Ups

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年智慧城市交通人工智慧（AI）市场：提供新机会的国家
  • 2030年智慧城市交通人工智慧（AI）市场：新兴细分市场机会
  • 2030年智慧城市交通人工智慧（AI）市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MAIAS01_G26Q1

Artificial intelligence (AI) in smart city mobility refers to the application of AI technologies to enhance urban transportation systems such as traffic control, public transit, autonomous vehicles, and ride-sharing platforms. It processes real-time inputs from sensors, cameras, and connected vehicles to boost efficiency, minimize congestion, and improve safety. It also enables city planners and operators to make informed, data-based decisions for infrastructure development and traffic optimization.

The primary components of artificial intelligence in smart city mobility include software, hardware, and services. Software refers to AI-driven systems that analyze transportation data, optimize mobility networks, and enhance urban efficiency and safety. These systems are deployed through cloud-based and on-premises models and use technologies such as machine learning, deep learning, computer vision, and sensor fusion. Applications include traffic control, public transportation systems, parking management, autonomous vehicles, ride-sharing, and others, and are used by governments, transportation authorities, private operators, and others.

Tariffs are influencing the artificial intelligence in smart city mobility market by increasing costs of imported sensors, cameras, edge computing units, communication devices, and control center hardware used in traffic and transit systems. Municipal authorities in North America and Europe are most affected due to dependence on imported smart infrastructure components, while Asia-Pacific faces cost pressures on exporting integrated mobility platforms. These tariffs are increasing project implementation costs and extending deployment timelines. However, they are also encouraging local manufacturing of smart city hardware, regional system integration, and software-led mobility optimization solutions.

The artificial intelligence (AI) in smart city mobility market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in smart city mobility market statistics, including artificial intelligence (AI) in smart city mobility industry global market size, regional shares, competitors with a artificial intelligence (AI) in smart city mobility market share, detailed artificial intelligence (AI) in smart city mobility market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in smart city mobility industry. This artificial intelligence (AI) in smart city mobility market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) in smart city mobility market size has grown exponentially in recent years. It will grow from $7.54 billion in 2025 to $9.21 billion in 2026 at a compound annual growth rate (CAGR) of 22.2%. The growth in the historic period can be attributed to expansion of urbanization trends, increasing traffic congestion challenges, early adoption of intelligent transport systems, growth of sensor-enabled city infrastructure, rising investments in smart city pilots.

The artificial intelligence (AI) in smart city mobility market size is expected to see exponential growth in the next few years. It will grow to $20.72 billion in 2030 at a compound annual growth rate (CAGR) of 22.5%. The growth in the forecast period can be attributed to expansion of autonomous and connected vehicle ecosystems, increasing investments in smart mobility infrastructure, growing demand for low-emission urban transport solutions, rising integration of AI with urban planning tools, expansion of data-driven traffic management platforms. Major trends in the forecast period include increasing deployment of AI-driven traffic optimization systems, rising adoption of smart public transit analytics, growing integration of autonomous mobility platforms, expansion of intelligent parking management solutions, enhanced focus on real-time urban mobility insights.

The growing adoption of autonomous vehicles is expected to stimulate the expansion of the AI in the smart city mobility market in the coming years. Autonomous vehicles are transportation systems equipped with advanced technologies that enable them to navigate and operate without human drivers through the use of sensors and artificial intelligence. Adoption of autonomous vehicles is increasing as regulatory approvals progress and commercial deployments expand driverless ride-hailing and mobility services in urban areas, improving public acceptance and utilization. AI-driven smart city mobility solutions provide essential infrastructure capabilities such as traffic forecasting, real-time route optimization, and connected vehicle data management, allowing autonomous vehicles to operate safely and efficiently within urban traffic ecosystems. For instance, in December 2023, according to the Insurance Institute for Highway Safety (IIHS), a US-based non-profit organization, global autonomous vehicle connections are projected to reach approximately 3.5 billion by 2025 and increase further to 4.5 billion by 2030. Therefore, the rising adoption of autonomous vehicles is expected to drive the growth of the AI in the smart city mobility market.

Key companies operating in the artificial intelligence in smart city mobility market are focusing on advanced software solutions that enable predictive maintenance, such as AI and vehicle-to-everything (V2X)-enabled intelligent traffic management systems, to gain a competitive advantage by enabling real-time monitoring, early fault detection, and proactive maintenance of urban mobility infrastructure. AI and V2X refer to the integration of artificial intelligence algorithms with vehicle-to-everything communication technologies that enable real-time data exchange between vehicles, infrastructure, pedestrians, and networks to optimize traffic operations and support predictive maintenance of smart city mobility systems. For example, in October 2024, the Dubai Roads and Transport Authority, a UAE-based public transportation and mobility authority, launched the V2X Network to enable real-time vehicle-to-infrastructure communication and improve traffic safety and efficiency. It is a smart mobility initiative that enables real-time communication between vehicles and road infrastructure (Vehicle-to-Everything). It connects traffic signals with in-vehicle systems to deliver live updates such as signal status, speed guidance, and road conditions. By using connected data, it helps optimize traffic flow, reduce congestion, and improve travel time reliability across key corridors. The network also supports safer driving through timely alerts and enhanced intersection awareness.

In March 2024, Transit Technologies LLC, a US-based provider of mobility software and connected transportation platforms, acquired TripShot Inc. for an undisclosed amount. Through this acquisition, Transit Technologies aimed to enhance its smart mobility and AI-enabled urban transportation capabilities by integrating TripShot's fleet management, route optimization, and real-time mobility data software into its comprehensive AI-powered SaaS mobility platform, supporting more efficient transit operations, real-time analytics, and optimized routing for smart city mobility initiatives. TripShot Inc. is a US-based developer of mobility operating system solutions that collect and analyze fleet, route, and passenger data.

Major companies operating in the artificial intelligence (AI) in smart city mobility market are Metropolis Technologies Inc., Waymo LLC, Via Transportation Inc., EasyMile SAS, INRIX Inc., Optibus Ltd., May Mobility Inc., Smart Parking Limited, Swiftly Inc., Mundys S.p.A., NoTraffic Ltd., Zoox Inc., NextBillion.AI Pte. Ltd., GoodVision Labs s.r.o., Autofleet Inc., Valerann Ltd., GridMatrix Ltd., Videonetics Technology Private Limited, Watsoo Express Private Limited, Mobipar Inc., Beep Inc., TrafiXCT Ltd., Intozi Tech Private Limited, Surf Beyond Limited.

North America was the largest region in the AI in smart city mobility market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in smart city mobility market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in smart city mobility market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in smart city mobility market consists of revenues earned by entities by providing services such as predictive maintenance for transportation infrastructure, smart parking solutions, public transport scheduling and route optimization, and autonomous vehicle integration. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in smart city mobility market also includes sales of AI-powered parking management solutions, intelligent public transport systems, connected vehicle platforms, route optimization software, and AI-driven analytics platforms. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) In Smart City Mobility Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (AI) in smart city mobility market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (AI) in smart city mobility ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI) in smart city mobility market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Deployment Mode: On-Premises; Cloud
  • 3) By Technology: Machine Learning And Deep Learning; Computer Vision; Sensor Fusion
  • 4) By Application: Traffic Management; Public Transportation; Parking Management; Autonomous Vehicles; Ride Sharing; Other Applications
  • 5) By End-User: Government; Transportation Agencies; Private Operators; Other End-Users
  • Subsegments:
  • 1) By Software: Traffic Analytics Platforms; Mobility Management Systems; Data Visualization Solutions; Predictive Analytics Tools; Route Optimization Software; Incident Detection Systems
  • 2) By Hardware: Traffic Sensors; Surveillance Cameras; Communication Devices; Edge Computing Units; Control Centers Equipment
  • 3) By Services: System Integration Services; Consulting Services; Maintenance And Support Services; Data Management Services; Deployment And Training Services; Managed Mobility Services
  • Companies Mentioned: Metropolis Technologies Inc.; Waymo LLC; Via Transportation Inc.; EasyMile SAS; INRIX Inc.; Optibus Ltd.; May Mobility Inc.; Smart Parking Limited; Swiftly Inc.; Mundys S.p.A.; NoTraffic Ltd.; Zoox Inc.; NextBillion.AI Pte. Ltd.; GoodVision Labs s.r.o.; Autofleet Inc.; Valerann Ltd.; GridMatrix Ltd.; Videonetics Technology Private Limited; Watsoo Express Private Limited; Mobipar Inc.; Beep Inc.; TrafiXCT Ltd.; Intozi Tech Private Limited; Surf Beyond Limited.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) In Smart City Mobility Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) In Smart City Mobility Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) In Smart City Mobility Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) In Smart City Mobility Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Electric Mobility & Transportation Electrification
  • 4.2. Major Trends
    • 4.2.1 Increasing Deployment Of AI-Driven Traffic Optimization Systems
    • 4.2.2 Rising Adoption Of Smart Public Transit Analytics
    • 4.2.3 Growing Integration Of Autonomous Mobility Platforms
    • 4.2.4 Expansion Of Intelligent Parking Management Solutions
    • 4.2.5 Enhanced Focus On Real-Time Urban Mobility Insights

5. Artificial Intelligence (AI) In Smart City Mobility Market Analysis Of End Use Industries

  • 5.1 Government Authorities
  • 5.2 Transportation Agencies
  • 5.3 Urban Planning Bodies
  • 5.4 Public Transit Operators
  • 5.5 Private Mobility Service Providers

6. Artificial Intelligence (AI) In Smart City Mobility Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) In Smart City Mobility Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) In Smart City Mobility PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) In Smart City Mobility Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) In Smart City Mobility Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) In Smart City Mobility Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) In Smart City Mobility Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) In Smart City Mobility Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware, Services
  • 9.2. Global Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premises, Cloud
  • 9.3. Global Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning And Deep Learning, Computer Vision, Sensor Fusion
  • 9.4. Global Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Traffic Management, Public Transportation, Parking Management, Autonomous Vehicles, Ride Sharing, Other Applications
  • 9.5. Global Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Government, Transportation Agencies, Private Operators, Other End-Users
  • 9.6. Global Artificial Intelligence (AI) In Smart City Mobility Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Traffic Analytics Platforms, Mobility Management Systems, Data Visualization Solutions, Predictive Analytics Tools, Route Optimization Software, Incident Detection Systems
  • 9.7. Global Artificial Intelligence (AI) In Smart City Mobility Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Traffic Sensors, Surveillance Cameras, Communication Devices, Edge Computing Units, Control Centers Equipment
  • 9.8. Global Artificial Intelligence (AI) In Smart City Mobility Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • System Integration Services, Consulting Services, Maintenance And Support Services, Data Management Services, Deployment And Training Services, Managed Mobility Services

10. Artificial Intelligence (AI) In Smart City Mobility Market Regional And Country Analysis

  • 10.1. Global Artificial Intelligence (AI) In Smart City Mobility Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence (AI) In Smart City Mobility Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Artificial Intelligence (AI) In Smart City Mobility Market

  • 11.1. Asia-Pacific Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) In Smart City Mobility Market

  • 12.1. China Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) In Smart City Mobility Market

  • 13.1. India Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) In Smart City Mobility Market

  • 14.1. Japan Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) In Smart City Mobility Market

  • 15.1. Australia Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) In Smart City Mobility Market

  • 16.1. Indonesia Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence (AI) In Smart City Mobility Market

  • 17.1. South Korea Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) In Smart City Mobility Market

  • 18.1. Taiwan Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence (AI) In Smart City Mobility Market

  • 19.1. South East Asia Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence (AI) In Smart City Mobility Market

  • 20.1. Western Europe Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) In Smart City Mobility Market

  • 21.1. UK Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) In Smart City Mobility Market

  • 22.1. Germany Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) In Smart City Mobility Market

  • 23.1. France Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) In Smart City Mobility Market

  • 24.1. Italy Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) In Smart City Mobility Market

  • 25.1. Spain Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence (AI) In Smart City Mobility Market

  • 26.1. Eastern Europe Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) In Smart City Mobility Market

  • 27.1. Russia Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence (AI) In Smart City Mobility Market

  • 28.1. North America Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) In Smart City Mobility Market

  • 29.1. USA Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) In Smart City Mobility Market

  • 30.1. Canada Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence (AI) In Smart City Mobility Market

  • 31.1. South America Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) In Smart City Mobility Market

  • 32.1. Brazil Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence (AI) In Smart City Mobility Market

  • 33.1. Middle East Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) In Smart City Mobility Market

  • 34.1. Africa Artificial Intelligence (AI) In Smart City Mobility Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Artificial Intelligence (AI) In Smart City Mobility Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence (AI) In Smart City Mobility Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) In Smart City Mobility Market Competitive Landscape And Company Profiles

  • 36.1. Artificial Intelligence (AI) In Smart City Mobility Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) In Smart City Mobility Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) In Smart City Mobility Market Company Profiles
    • 36.3.1. Metropolis Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Waymo LLC Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Via Transportation Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. EasyMile SAS Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. INRIX Inc. Overview, Products and Services, Strategy and Financial Analysis

37. Artificial Intelligence (AI) In Smart City Mobility Market Other Major And Innovative Companies

  • Optibus Ltd., May Mobility Inc., Smart Parking Limited, Swiftly Inc., Mundys S.p.A., NoTraffic Ltd., Zoox Inc., NextBillion.ai Pte. Ltd., GoodVision Labs s.r.o., Autofleet Inc., Valerann Ltd., GridMatrix Ltd., Videonetics Technology Private Limited, Watsoo Express Private Limited, Mobipar Inc.

38. Global Artificial Intelligence (AI) In Smart City Mobility Market Competitive Benchmarking And Dashboard

39. Upcoming Startups in the Market

40. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Smart City Mobility Market

41. Artificial Intelligence (AI) In Smart City Mobility Market High Potential Countries, Segments and Strategies

  • 41.1 Artificial Intelligence (AI) In Smart City Mobility Market In 2030 - Countries Offering Most New Opportunities
  • 41.2 Artificial Intelligence (AI) In Smart City Mobility Market In 2030 - Segments Offering Most New Opportunities
  • 41.3 Artificial Intelligence (AI) In Smart City Mobility Market In 2030 - Growth Strategies
    • 41.3.1 Market Trend Based Strategies
    • 41.3.2 Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer