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市場調查報告書
商品編碼
2037404

智慧運輸自動化市場預測至2034年－全球解決方案、類型、車輛類型、自動駕駛等級、服務、應用、最終使用者和區域分析

Smart Mobility Automation Market Forecasts to 2034 - Global Analysis By Solution, Type, Vehicle Type, Autonomy Level, Service, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球智慧運輸自動化市場規模將達到 224 億美元，並在預測期內以 24.4% 的複合年成長率成長，到 2034 年將達到 1,286 億美元。

借助雷射雷達和雷達感測、車聯網（V2X）通訊、人工智慧導航演算法、高精度地圖繪製和5G連接，智慧運輸自動化將交通基礎設施轉變為一個自組織、數據驅動的出行生態系統。這不僅提高了都市區和商用車輛交通網路的可及性和通行能力，還有助於減少擁塞、排放氣體、事故率和運輸成本。

都市區擁擠和物流效率面臨的挑戰

都市區密度加速成長導致交通堵塞、經濟損失和「最後一公里」物流效率低下，促使市政當局和商業出行營運商投資智慧運輸自動化平台，以動態最佳化交通流量、實現高效的自主貨運配送，並透過出行即服務（MaaS）平台協作創建一體化的多模態出行方案。據報道，都市區堵塞造成的經濟損失每年在主要大都會圈超過數千億美元，這為政府基礎架構層和私人商業運營商投資智慧運輸提供了充分的理由。

自動駕駛汽車監管認證的複雜性

自動駕駛汽車的監管和認證框架複雜且分散，各國乃至各地方政府的規定各不相同，這需要進行大量的安全檢驗測試，遵守營運區域限制，並建立保險責任框架。這導致商業部署計劃的不確定性，並增加了合規方面的投資義務。因此，在法規結構未能跟上技術發展的市場，自動駕駛汽車的部署速度遠低於技術實用化水準。

自主貨運和最後一公里配送的規模

商用自動駕駛車輛在貨運、樞紐物流和末端配送的應用，是自動駕駛車輛商業性化程度最高的應用領域。由於營運區域僅限於特定路線和受控環境，監管的複雜性有所降低，這使得自動駕駛車輛的商業部署比乘用車（AV）應用更早，並為物流運營商在提高運輸效率和降低成本方面創造了顯著價值。

自動駕駛汽車事故中的責任問題正引起人們的注意。

涉及自動駕駛汽車的事故若獲得媒體的廣泛報道，會削弱公眾信任並引發監管部門的應對措施。這可能導致進一步的營運限制和停飛要求，從而大幅延緩商用自動駕駛汽車的部署計畫。這加劇了投資者對自動駕駛汽車專案能否實現財務回報的不確定性，而自動駕駛技術公司在重大安全事故發生後的漫長監管恢復期內也將面臨資金籌措挑戰。

新冠疫情的影響：

新冠疫情導致大眾運輸客流量下降，加速了人們對替代性個人交通方式的探索，使得自動駕駛個人出行方式在後疫情交通途徑日益受到青睞。疫情時代對智慧城市基礎設施的投資，以及電子商務配送需求激增帶來的城市物流自動化迫切需求，都推動了全球智慧運輸自動化市場投資的強勁成長。

在預測期內，交通行動服務(MaaS) 平台細分市場預計將成為最大的細分市場。

預計在預測期內，交通行動服務(MaaS) 平台細分市場將佔據最大的市場佔有率。這是因為該細分市場能夠多模態，這些平台透過共乘、微出行、公共交通和共享業務收益服務為數百萬城市出行用戶提供服務。這些服務共同創造了智慧運輸自動化商業領域最高的總收入。

預計在預測期內，LiDAR和雷達領域將呈現最高的複合年成長率。

在預測期內，LiDAR和雷達領域預計將呈現最高的成長率。這主要得益於固態微機電系統（MEMS）感測器製造技術的快速發展，該技術顯著降低了雷射雷達的成本，從而使大規模生產的自動駕駛汽車能夠以商業性可行的整合成本部署感測器套件。此外，汽車原始設備製造商（OEM）在大規模生產的自動駕駛車型中對LiDAR進行標準化，將催生大規模的感測器採購計劃，進而加速LiDAR和雷達供應商的市場擴張。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國擁有眾多領先的自動駕駛技術公司，例如 Waymo、Cruise、特斯拉、Aurora 和 Mobileye，這些公司透過在北美進行技術研發和早期商業部署獲得了可觀的收入；此外，各州層面的自動駕駛汽車 (AV)法規結構也在不斷完善；以及創業投資和企業對自動駕駛技術項目的積極投資。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於以下因素：中國實施了全球最積極的自動駕駛汽車監管核准和商業部署計劃之一；百度和其他國內自動駕駛公司實現了大規模自動駕駛計程車運營；日本和韓國在政府的大力支持下部署了自動駕駛汽車項目；以及通過快速擴大智慧城市基礎設施投資，為智慧運輸自動化創造了良好的商業發展自動化環境。

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、挑戰和機遇
  • 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 全球智慧運輸自動化市場：依解決方案分類

  • 自動駕駛汽車
    • 搭乘用車
    • 接駁巴士
  • 車隊管理平台
  • 交通管理系統
  • 智慧停車解決方案
  • 出行即服務平台

第6章 全球智慧運輸自動化市場：按類型分類

  • LiDAR和雷達
  • V2X通訊
  • 人工智慧導航
  • 高畫質地圖
  • 5G連接

第7章 全球智慧運輸自動化市場：依車輛類型分類

  • 搭乘用車
  • 商用車輛
  • 大眾運輸
  • 微移動性

第8章 全球智慧運輸自動化市場：以自動駕駛等級分類

  • 二級
  • 3級
  • 4級
  • 5級

第9章 全球智慧運輸自動化市場：依服務分類

  • 叫車
  • 汽車共享
  • 微型公車
  • 物流自動化

第10章 全球智慧運輸自動化市場：依應用分類

  • 城市交通
  • 自動化高速公路
  • 首末一公里連接
  • 貨運/物流

第11章 全球智慧運輸自動化市場：以最終用戶分類

  • OEMs
  • 行動服務供應商
  • 地方政府
  • 物流公司
  • 一般消費者

第12章 全球智慧運輸自動化市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第13章 戰略市場資訊

  • 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14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15章：公司簡介

  • Tesla, Inc.
  • Alphabet Inc.
  • General Motors Company
  • Ford Motor Company
  • Toyota Motor Corporation
  • Volkswagen AG
  • Bayerische Motoren Werke AG
  • Uber Technologies, Inc.
  • Baidu, Inc.
  • Mobileye Global Inc.（Intel）
  • Aurora Innovation, Inc.
  • Cruise LLC（GM）
  • NVIDIA Corporation
  • Qualcomm Incorporated
  • Robert Bosch GmbH
  • Aptiv PLC
Product Code: SMRC35817

According to Stratistics MRC, the Global Smart Mobility Automation Market is accounted for $22.4 billion in 2026 and is expected to reach $128.6 billion by 2034 growing at a CAGR of 24.4% during the forecast period. Smart mobility automation refers to autonomous vehicle systems, fleet management platforms, traffic management systems, smart parking solutions, and mobility-as-a-service platforms enabled through LiDAR and radar sensing, vehicle-to-everything communication, AI navigation algorithms, high-definition mapping, and 5G connectivity that transform transportation infrastructure toward self-organizing, data-driven mobility ecosystems reducing congestion, emissions, accident rates, and transportation cost while improving accessibility and throughput across urban and commercial vehicle transportation networks.

Market Dynamics:

Driver:

Urban Congestion and Logistics Efficiency Imperative

Accelerating urban population density, creating transportation congestion, economic losses and last-mile logistics inefficiency is driving municipal and commercial mobility operator investment in smart mobility automation platforms that dynamically optimize traffic flow, enable efficient autonomous freight delivery, and create integrated multimodal mobility access through MaaS platform coordination. Documented urban congestion economic cost exceeding hundreds of billions annually across major metropolitan areas creates compelling smart mobility investment justification at both government infrastructure and private commercial operator levels.

Restraint:

Autonomous Vehicle Regulatory Certification Complexity

Complex and fragmented autonomous vehicle regulatory certification frameworks across national and sub-national jurisdictions requiring extensive safety validation testing, operational domain restriction compliance, and insurance liability framework establishment create commercial deployment timeline uncertainty and regulatory compliance investment obligations that constrain autonomous vehicle deployment pace well below technology capability readiness in markets where regulatory frameworks have not kept pace with technology development.

Opportunity:

Autonomous Freight and Last-Mile Delivery Scale

Commercial autonomous vehicle deployment for freight transportation, logistics hub-to-hub transfer, and last-mile delivery represents the most commercially advanced autonomous vehicle application category where operational domain restriction to defined routes and controlled environments reduces regulatory complexity, enabling earlier commercial deployment than passenger AV applications and generating substantial transportation efficiency and cost reduction value for logistics operators.

Threat:

High-Profile Autonomous Vehicle Incident Liability

High-visibility autonomous vehicle accident incidents generating media coverage that triggers public trust erosion and regulatory response creating additional operational restriction or suspension requirements that set commercial AV deployment program timelines back substantially, compounding investor uncertainty about autonomous vehicle program financial return realization and creating AV technology company capital access challenges during extended regulatory recovery periods following major safety incidents.

Covid-19 Impact:

COVID-19 reduced public transit ridership creating momentum for individual mobility alternative exploration that positioned autonomous personal mobility as a post-pandemic transportation preference alignment. Post-pandemic smart city infrastructure investment and urban logistics automation urgency from e-commerce delivery demand elevation continue sustaining strong smart mobility automation market investment momentum globally.

The mobility-as-a-service platforms segment is expected to be the largest during the forecast period

The mobility-as-a-service platforms segment is expected to account for the largest market share during the forecast period, due to the largest commercial software and service revenue opportunity from integrated multimodal mobility platform operation serving millions of urban mobility consumers across ride-hailing, micro-mobility, transit, and shared mobility service access that collectively generate the highest total revenue within the smart mobility automation commercial landscape.

The LiDAR & radar segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the LiDAR & radar segment is predicted to witness the highest growth rate, driven by rapid LiDAR cost reduction from solid-state MEMS-based sensor manufacturing enabling mass market autonomous vehicle sensor suite deployment at commercially viable vehicle integration cost, combined with automotive OEM LiDAR standardization across production autonomous vehicle models creating large-volume sensor procurement programs that accelerate LiDAR and radar supplier market expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting leading autonomous vehicle technology companies including Waymo, Cruise, Tesla, Aurora, and Mobileye generating substantial North American technology development and early commercial deployment revenue, progressive state-level AV regulatory framework development, and strong venture capital and corporate investment in autonomous transportation technology programs.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China implementing the world's most aggressive autonomous vehicle regulatory approval and commercial deployment program with Baidu and domestic AV companies achieving commercial robotaxi operations at scale, Japan and South Korea deploying autonomous vehicle programs with strong government support, and rapidly expanding smart city infrastructure investment creating smart mobility automation commercial development environments.

Key players in the market

Some of the key players in Smart Mobility Automation Market include Tesla Inc., Alphabet Inc., General Motors Company, Ford Motor Company, Toyota Motor Corporation, Volkswagen AG, Bayerische Motoren Werke AG, Uber Technologies Inc., Baidu Inc., Mobileye Global Inc. (Intel), Aurora Innovation Inc., Cruise LLC (GM), NVIDIA Corporation, Qualcomm Incorporated, Robert Bosch GmbH, and Aptiv PLC.

Key Developments:

In April 2026, Waymo (Alphabet Inc.) expanded its commercial robotaxi service to three additional US metropolitan markets achieving cumulative 50 million driverless mile milestone with zero at-fault accidents confirming safety performance parity with human drivers in operational design domains.

In March 2026, Mobileye Global Inc. (Intel) launched its SuperVision autonomous driving system in European market production vehicles enabling Level 3 highway autonomous operation with regulatory type approval, marking the first commercial Level 3 AV system deployment in European production models.

In December 2025, Baidu Inc. secured regulatory approval for fully driverless commercial robotaxi operation in five additional Chinese cities expanding its Apollo Go commercial autonomous taxi service to over 20 Chinese metropolitan markets with zero safety drivers required.

Solutions Covered:

  • Autonomous Vehicles
  • Fleet Management Platforms
  • Traffic Management Systems
  • Smart Parking Solutions
  • Mobility-as-a-Service Platforms

Types Covered:

  • LiDAR & Radar
  • V2X Communication
  • AI Navigation
  • HD Mapping
  • 5G Connectivity

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles
  • Public Transport
  • Micro-Mobility

Autonomy Levels Covered:

  • Level 2
  • Level 3
  • Level 4
  • Level 5x

Services Covered:

  • Ride Hailing
  • Car Sharing
  • Microtransit
  • Logistics Automation

Applications Covered:

  • Urban Mobility
  • Highway Automation
  • First/Last Mile Connectivity
  • Freight & Logistics

End Users Covered:

  • OEMs
  • Mobility Service Providers
  • City Governments
  • Logistics Companies
  • Consumers

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 Mobility Automation Market, By Solution

  • 5.1 Autonomous Vehicles
    • 5.1.1 Passenger Cars
    • 5.1.2 Shuttles & Buses
  • 5.2 Fleet Management Platforms
  • 5.3 Traffic Management Systems
  • 5.4 Smart Parking Solutions
  • 5.5 Mobility-as-a-Service Platforms

6 Global Smart Mobility Automation Market, By Type

  • 6.1 LiDAR & Radar
  • 6.2 V2X Communication
  • 6.3 AI Navigation
  • 6.4 HD Mapping
  • 6.5 5G Connectivity

7 Global Smart Mobility Automation Market, By Vehicle Type

  • 7.1 Passenger Vehicles
  • 7.2 Commercial Vehicles
  • 7.3 Public Transport
  • 7.4 Micro-Mobility

8 Global Smart Mobility Automation Market, By Autonomy Level

  • 8.1 Level 2
  • 8.2 Level 3
  • 8.3 Level 4
  • 8.4 Level 5

9 Global Smart Mobility Automation Market, By Service

  • 9.1 Ride Hailing
  • 9.2 Car Sharing
  • 9.3 Microtransit
  • 9.4 Logistics Automation

10 Global Smart Mobility Automation Market, By Application

  • 10.1 Urban Mobility
  • 10.2 Highway Automation
  • 10.3 First/Last Mile Connectivity
  • 10.4 Freight & Logistics

11 Global Smart Mobility Automation Market, By End User

  • 11.1 OEMs
  • 11.2 Mobility Service Providers
  • 11.3 City Governments
  • 11.4 Logistics Companies
  • 11.5 Consumers

12 Global Smart Mobility Automation Market, By Geography

  • 12.1 North America
    • 12.1.1 United States
    • 12.1.2 Canada
    • 12.1.3 Mexico
  • 12.2 Europe
    • 12.2.1 United Kingdom
    • 12.2.2 Germany
    • 12.2.3 France
    • 12.2.4 Italy
    • 12.2.5 Spain
    • 12.2.6 Netherlands
    • 12.2.7 Belgium
    • 12.2.8 Sweden
    • 12.2.9 Switzerland
    • 12.2.10 Poland
    • 12.2.11 Rest of Europe
  • 12.3 Asia Pacific
    • 12.3.1 China
    • 12.3.2 Japan
    • 12.3.3 India
    • 12.3.4 South Korea
    • 12.3.5 Australia
    • 12.3.6 Indonesia
    • 12.3.7 Thailand
    • 12.3.8 Malaysia
    • 12.3.9 Singapore
    • 12.3.10 Vietnam
    • 12.3.11 Rest of Asia Pacific
  • 12.4 South America
    • 12.4.1 Brazil
    • 12.4.2 Argentina
    • 12.4.3 Colombia
    • 12.4.4 Chile
    • 12.4.5 Peru
    • 12.4.6 Rest of South America
  • 12.5 Rest of the World (RoW)
    • 12.5.1 Middle East
      • 12.5.1.1 Saudi Arabia
      • 12.5.1.2 United Arab Emirates
      • 12.5.1.3 Qatar
      • 12.5.1.4 Israel
      • 12.5.1.5 Rest of Middle East
    • 12.5.2 Africa
      • 12.5.2.1 South Africa
      • 12.5.2.2 Egypt
      • 12.5.2.3 Morocco
      • 12.5.2.4 Rest of Africa

13 Strategic Market Intelligence

  • 13.1 Industry Value Network and Supply Chain Assessment
  • 13.2 White-Space and Opportunity Mapping
  • 13.3 Product Evolution and Market Life Cycle Analysis
  • 13.4 Channel, Distributor, and Go-to-Market Assessment

14 Industry Developments and Strategic Initiatives

  • 14.1 Mergers and Acquisitions
  • 14.2 Partnerships, Alliances, and Joint Ventures
  • 14.3 New Product Launches and Certifications
  • 14.4 Capacity Expansion and Investments
  • 14.5 Other Strategic Initiatives

15 Company Profiles

  • 15.1 Tesla, Inc.
  • 15.2 Alphabet Inc.
  • 15.3 General Motors Company
  • 15.4 Ford Motor Company
  • 15.5 Toyota Motor Corporation
  • 15.6 Volkswagen AG
  • 15.7 Bayerische Motoren Werke AG
  • 15.8 Uber Technologies, Inc.
  • 15.9 Baidu, Inc.
  • 15.10 Mobileye Global Inc. (Intel)
  • 15.11 Aurora Innovation, Inc.
  • 15.12 Cruise LLC (GM)
  • 15.13 NVIDIA Corporation
  • 15.14 Qualcomm Incorporated
  • 15.15 Robert Bosch GmbH
  • 15.16 Aptiv PLC

List of Tables

  • Table 1 Global Smart Mobility Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Smart Mobility Automation Market Outlook, By Solution (2023-2034) ($MN)
  • Table 3 Global Smart Mobility Automation Market Outlook, By Autonomous Vehicles (2023-2034) ($MN)
  • Table 4 Global Smart Mobility Automation Market Outlook, By Passenger Cars (2023-2034) ($MN)
  • Table 5 Global Smart Mobility Automation Market Outlook, By Shuttles & Buses (2023-2034) ($MN)
  • Table 6 Global Smart Mobility Automation Market Outlook, By Fleet Management Platforms (2023-2034) ($MN)
  • Table 7 Global Smart Mobility Automation Market Outlook, By Traffic Management Systems (2023-2034) ($MN)
  • Table 8 Global Smart Mobility Automation Market Outlook, By Smart Parking Solutions (2023-2034) ($MN)
  • Table 9 Global Smart Mobility Automation Market Outlook, By Mobility-as-a-Service Platforms (2023-2034) ($MN)
  • Table 10 Global Smart Mobility Automation Market Outlook, By Type (2023-2034) ($MN)
  • Table 11 Global Smart Mobility Automation Market Outlook, By LiDAR & Radar (2023-2034) ($MN)
  • Table 12 Global Smart Mobility Automation Market Outlook, By V2X Communication (2023-2034) ($MN)
  • Table 13 Global Smart Mobility Automation Market Outlook, By AI Navigation (2023-2034) ($MN)
  • Table 14 Global Smart Mobility Automation Market Outlook, By HD Mapping (2023-2034) ($MN)
  • Table 15 Global Smart Mobility Automation Market Outlook, By 5G Connectivity (2023-2034) ($MN)
  • Table 16 Global Smart Mobility Automation Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 17 Global Smart Mobility Automation Market Outlook, By Passenger Vehicles (2023-2034) ($MN)
  • Table 18 Global Smart Mobility Automation Market Outlook, By Commercial Vehicles (2023-2034) ($MN)
  • Table 19 Global Smart Mobility Automation Market Outlook, By Public Transport (2023-2034) ($MN)
  • Table 20 Global Smart Mobility Automation Market Outlook, By Micro-Mobility (2023-2034) ($MN)
  • Table 21 Global Smart Mobility Automation Market Outlook, By Autonomy Level (2023-2034) ($MN)
  • Table 22 Global Smart Mobility Automation Market Outlook, By Level 2 (2023-2034) ($MN)
  • Table 23 Global Smart Mobility Automation Market Outlook, By Level 3 (2023-2034) ($MN)
  • Table 24 Global Smart Mobility Automation Market Outlook, By Level 4 (2023-2034) ($MN)
  • Table 25 Global Smart Mobility Automation Market Outlook, By Level 5 (2023-2034) ($MN)
  • Table 26 Global Smart Mobility Automation Market Outlook, By Service (2023-2034) ($MN)
  • Table 27 Global Smart Mobility Automation Market Outlook, By Ride Hailing (2023-2034) ($MN)
  • Table 28 Global Smart Mobility Automation Market Outlook, By Car Sharing (2023-2034) ($MN)
  • Table 29 Global Smart Mobility Automation Market Outlook, By Microtransit (2023-2034) ($MN)
  • Table 30 Global Smart Mobility Automation Market Outlook, By Logistics Automation (2023-2034) ($MN)
  • Table 31 Global Smart Mobility Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 32 Global Smart Mobility Automation Market Outlook, By Urban Mobility (2023-2034) ($MN)
  • Table 33 Global Smart Mobility Automation Market Outlook, By Highway Automation (2023-2034) ($MN)
  • Table 34 Global Smart Mobility Automation Market Outlook, By First/Last Mile Connectivity (2023-2034) ($MN)
  • Table 35 Global Smart Mobility Automation Market Outlook, By Freight & Logistics (2023-2034) ($MN)
  • Table 36 Global Smart Mobility Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 37 Global Smart Mobility Automation Market Outlook, By OEMs (2023-2034) ($MN)
  • Table 38 Global Smart Mobility Automation Market Outlook, By Mobility Service Providers (2023-2034) ($MN)
  • Table 39 Global Smart Mobility Automation Market Outlook, By City Governments (2023-2034) ($MN)
  • Table 40 Global Smart Mobility Automation Market Outlook, By Logistics Companies (2023-2034) ($MN)
  • Table 41 Global Smart Mobility Automation Market Outlook, By Consumers (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.