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市場調查報告書
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1994480

2026年智慧城市交通人工智慧（AI）全球市場報告

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個工作天內

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簡介目錄

近年來，智慧城市交通領域的人工智慧（AI）市場發展迅速。預計該市場規模將從2025年的75.4億美元成長到2026年的92.1億美元，複合年成長率（CAGR）高達22.2%。過去幾年的成長主要歸功於都市化趨勢、交通堵塞問題、智慧型運輸系統（ITS）的早期應用、配備感測器的城市基礎設施的擴展以及智慧城市示範計畫投資的增加等因素。

未來幾年，智慧城市交通領域的人工智慧（AI）市場預計將迎來顯著成長。預計到2030年，該市場規模將達到207.2億美元，複合年成長率（CAGR）為22.5%。預測期內的成長預計將受到以下因素的推動：自動駕駛和聯網汽車生態系統的擴展、對智慧運輸基礎設施投資的增加、對低排放量城市交通解決方案日益成長的需求、人工智慧在城市規劃工具中的整合不斷推進，以及數據驅動型交通管理平台的擴展。預測期內的關鍵趨勢包括：人工智慧驅動的交通最佳化系統應用日益廣泛、智慧公共交通分析的普及、自動駕駛平台整合的推進、智慧停車管理解決方案的擴展，以及對即時城市交通洞察的日益重視。

預計未來幾年，自動駕駛汽車的日益普及將推動人工智慧在智慧城市出行市場的發展。自動駕駛汽車是一種先進的交通系統，它利用感測器和人工智慧技術實現無人駕駛。隨著監管核准的推進以及無人駕駛共享出行和出行服務在都市區的商業化部署不斷擴大，自動駕駛汽車的部署量也在不斷成長，公眾的接受度和使用率也在不斷提高。人工智慧驅動的智慧城市出行解決方案提供交通預測、即時路線最佳化和聯網汽車資料管理等關鍵基礎設施功能，使自動駕駛汽車能夠在城市交通生態系統中安全且有效率地運作。例如，總部位於美國的非營利組織公路安全保險協會（IIHS）在2023年12月預測，2025年，全球連網自動駕駛汽車的數量將達到約35億輛，到2030年將進一步增加至45億輛。因此，自動駕駛汽車的日益普及預計將推動人工智慧在智慧城市出行市場的發展。

在智慧城市交通市場人工智慧（AI）領域，主要企業正專注於開發先進的軟體解決方案，以實現預測性維護，例如基於人工智慧和車聯網（V2X）技術的智慧交通管理系統。其目標是透過對城市交通基礎設施進行即時監控、早期故障檢測和預防性維護，從而獲得競爭優勢。人工智慧和車聯網將人工智慧演算法與車聯網通訊技術相結合，實現了車輛、基礎設施、行人和網路之間的即時數據交換，最佳化了交通運行，並支援智慧城市交通系統的預測性維護。例如，2024年10月，公共交通和出行機構——杜拜道路和交通管理局（DRTA）推出了車聯網網路，旨在實現車輛與基礎設施之間的即時通訊，從而提高交通安全性和效率。這是一項智慧運輸計劃，實現了車輛與道路基礎設施之間的即時通訊（車聯網）。它將交通號誌和車載系統連接起來，提供最新的號誌燈狀態、速度引導和路況資訊。透過利用互聯數據，此網路有助於最佳化主要幹道的交通流量，緩解堵塞，並提高出行時間的可靠性。此外，它還透過及時發出警報和改善路口可視性來支援更安全的駕駛。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球智慧城市交通人工智慧（AI）市場：吸引力評分與分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 自主系統、機器人、智慧運輸
    • 物聯網、智慧基礎設施、互聯生態系統
    • 數位化、雲端運算、巨量資料、網路安全
    • 電動交通和交通運輸電氣化
  • 主要趨勢
    • 人工智慧驅動的交通最佳化系統的擴展
    • 擴大智慧公共交通分析技術的應用
    • 自動駕駛平台的整合正在穩步推進。
    • 擴展智慧停車管理解決方案
    • 加強我們對城市交通即時洞察的關注

第5章 終端用戶產業市場分析

  • 政府機構
  • 運輸
  • 都市計畫機構
  • 公共運輸業者
  • 私人出行服務提供者

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球智慧城市交通人工智慧（AI）市場：PESTEL分析（政治、社會、科技、環境、法律因素、促進因素與限制因素）
  • 全球智慧城市移動人工智慧（AI）市場規模、對比及成長率分析
  • 全球智慧城市行動人工智慧（AI）市場表現：規模與成長，2020-2025年
  • 全球智慧城市行動人工智慧（AI）市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按組件
  • 軟體、硬體和服務
  • 部署模式
  • 本地部署、雲端
  • 透過技術
  • 機器學習與深度學習、電腦視覺、感測器融合
  • 透過使用
  • 交通管理、公共運輸、停車管理、自動駕駛汽車、共乘及其他應用。
  • 最終用戶
  • 政府、運輸公司、私人企業和其他最終用戶
  • 按類型細分：軟體
  • 交通分析平台、出行管理系統、資料視覺化解決方案、預測分析工具、路線最佳化軟體、事件偵測系統
  • 按類型細分：硬體
  • 交通感測器、監視錄影機、通訊設備、邊緣運算單元、控制中心設備
  • 按類型細分：服務
  • 系統整合服務、諮詢服務、維護與支援服務、資料管理服務、實施與培訓服務、行動管理服務

第10章 區域與國別分析

  • 全球智慧城市交通人工智慧（AI）市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
  • 全球智慧城市交通人工智慧（AI）市場：按國家/地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年

第11章 亞太市場

第12章：中國市場

第13章：印度市場

第14章：日本市場

第15章：澳洲市場

第16章：印尼市場

第17章：韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章 西歐市場

第21章英國市場

第22章：德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章：東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章：美國市場

第30章：加拿大市場

第31章：南美市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

  • 智慧城市交通領域的人工智慧（AI）市場：競爭格局與市場佔有率（2024年）
  • 智慧城市交通領域的人工智慧（AI）市場：公司估值矩陣
  • 智慧城市交通領域的人工智慧（AI）市場：公司概況
    • Metropolis Technologies Inc.
    • Waymo LLC
    • Via Transportation Inc.
    • EasyMile SAS
    • INRIX Inc.

第37章 其他大型企業和創新企業

  • 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：全球市場競爭基準分析與儀錶板

第39章：預計進入市場的Start-Ups

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年智慧城市交通人工智慧（AI）市場：提供新機會的國家
  • 2030年智慧城市交通人工智慧（AI）市場：新興細分市場機會
  • 2030年智慧城市交通人工智慧（AI）市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
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