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市场调查报告书
商品编码
1925055

全球自动驾驶基础设施软体市场预测（至2032年），依产品类型、组件、技术、应用、最终用户及地区划分

Autonomous Mobility Infrastructure Software Market Forecasts to 2032 - Global Analysis By Product Type, Component, Technology, 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个工作天内

价格

根据 Stratistics MRC 的研究，预计到 2025 年，全球自动驾驶基础设施软体市场规模将达到 198 亿美元，到 2032 年将达到 385 亿美元，预测期内复合年增长率为 10%。

自主出行基础设施软体能够协调、控制和优化城市环境中的自动驾驶车辆。它包括交通管理平台、高精度地图引擎、车队协调工具和即时定位系统。这些软体层与自动驾驶车辆交互，以管理路口、重新规划交通路线并确保安全行驶。它们构成了智慧城市生态系统的基础，支援出行即服务 (MaaS)、自动驾驶接驳车以及可扩展且安全的自动驾驶交通互联基础设施。

根据 StartUs Insights 的说法，车联网 (V2X) 通讯的兴起正在推动对边缘运算软体的需求，该软体用于管理自动驾驶车队和智慧路边单元之间的即时数据交换。

扩展自动驾驶交通生态系统

不断发展的自动驾驶交通生态系统是自动驾驶出行基础设施软体市场的关键驱动力。随着城市和出行服务提供者加大对互联自动驾驶交通网络的投资，自动驾驶班车、无人出租车和智慧交通系统的日益普及，对用于协调、模拟和即时决策的先进软体提出了更高的要求。政府和私人营运商正优先采用数位化旅游平台，以提高交通效率、缓解拥塞并增强道路安全。对智慧城市和智慧交通系统投资的不断增加，也进一步推动了市场成长。

现有基础设施之间的互通性

现有的交通管理系统往往分散且运作在过时的平台上，跨传统基础设施的互通性仍然是一大限制因素。将自动驾驶软体与传统的道路基础设施、信号系统和数据标准相集成，增加了部署的复杂性。高度客製化的需求和整合成本可能会延缓部署进程。区域间标准化程度的不足进一步加剧了软体无缝部署的难度，阻碍了扩充性，并减缓了市场渗透，尤其是在交通基础设施老化的城市。

支援V2X的交通编配平台

支援车联网（V2X）的交通编配平台代表着自动驾驶基础设施软体市场的巨大成长机会。车联网（V2X）通讯实现了车辆、基础设施和交通控制系统之间的即时数据交换。这项功能支援自适应号誌控制、碰撞规避和优化路线规划。联网汽车和5G网路的日益普及使V2X技术的应用更加可行。致力于减少交通拥堵和排放气体的城市正日益将基于V2X的软体视为一项策略性的交通投资。

区域监管不确定性

区域监管的不确定性对市场扩张构成重大威胁。自动驾驶软体的普及应用深受不断变化的安全标准、资料隐私法和责任框架的影响。各国和各地区监管政策的不统一为技术提供者和投资者带来不确定性。政策核准和试点计画审批的延迟可能会延缓商业化进程。这些监管风险可能会限制跨境扩充性，并影响自动驾驶基础设施解决方案的长期应用。

新冠疫情的影响：

新冠疫情导致预算重新分配和智慧城市计划延期，暂时减缓了基础设施投资。然而，疫情也凸显了非接触式自动驾驶系统和弹性出行规划的必要性。封锁期间交通量的减少为城市试点数位化交通管理和自动驾驶解决方案提供了契机。疫情后的復苏策略日益强调智慧型运输系统（ITS）的重要性，重新激发了自动驾驶基础设施软体的需求。

预计在预测期内，交通管理软体细分市场将占据最大的市场份额。

由于交通管理软体在协调自动驾驶车辆和传统车辆之间的交通流量方面发挥核心作用，预计在预测期内，该领域将占据最大的市场份额。这些解决方案能够实现即时监控、缓解交通拥堵和自适应号誌控制。不断增长的都市化和交通密度正在推动对智慧交通优化的需求。与自动驾驶系统和城市指挥中心的整合将进一步促进其应用，使交通管理软体成为重要的收入来源。

预计在预测期内，软体平台细分市场将实现最高的复合年增长率。

预计在预测期内，软体平台细分市场将实现最高成长率，这主要得益于市场对可扩展的云端行动解决方案日益增长的需求。这些平台支援分析、模拟和系统级编配，无需进行大规模硬体升级。平台解决方案的柔软性、互通性和快速部署能力使其对城市和旅游营运商极具吸引力。人工智慧、边缘运算和数数位双胞胎的进步将进一步推动全球市场的成长。

占比最大的地区：

预计亚太地区将在预测期内占据最大的市场份额。这主要得益于中国、日本、韩国和新加坡的快速都市化以及对智慧运输的大规模投资。这些国家的政府正积极支持自动驾驶汽车试验和智慧型运输系统（ITS）。高人口密度和交通拥堵问题推动了对先进出行软体的需求，使亚太地区成为重要的区域市场。

复合年增长率最高的地区：

在预测期内，北美预计将实现最高的复合年增长率，这主要得益于自动驾驶汽车技术的强劲创新以及监管沙盒的支持。科技公司和城市政府对智慧基础设施的大量投资正在加速自动驾驶汽车的普及。先进的数位生态系统、自动驾驶汽车的早期应用以及对道路安全和效率的高度重视，都推动了该地区市场的快速成长。

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目录

第一章执行摘要

第二章 前言

  • 概括
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球自动驾驶行动基础设施软体市场（依产品类型划分）

  • 交通管理软体
    • 讯号优化平台
    • 交叉合作系统
  • マッピングおよび位置特定ソフトウェア
    • 高精度测绘平台
    • 即时定位引擎
  • 舰队编配软体
    • 自动驾驶车辆调度管理
    • 路线规划与最佳化

第6章 世界の自律走行モビリティインフラソフトウェア市场：コンポーネント别

  • 软体平台
  • 人工智慧演算法
  • 资料管理模组
  • API 和整合层

7. 全球自动驾驶基础设施软体市场（依技术划分）

  • 人工智慧
  • 电脑视觉
  • V2X通信
  • 云端运算和边缘运算

8. 全球自动驾驶行动基础设施软体市场（按应用领域划分）

  • 自动驾驶公共交通
  • 机器人出租车运营
  • 智慧路口
  • 自主物流
  • 其他用途

9. 全球自动驾驶行动基础设施软体市场（依最终用户划分）

  • 地方政府交通局
  • 智慧城市机构
  • 自动驾驶汽车营运商
  • 城市基础设施开发商
  • 交通管理解决方案提供商
  • 其他最终用户

10. 全球自动驾驶行动基础设施软体市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 企业概况

  • Waymo LLC
  • Cruise LLC
  • Aurora Innovation
  • Mobileye（Intel）
  • NVIDIA Corporation
  • Siemens Mobility
  • Cisco Systems
  • PTV Group
  • INRIX
  • TomTom NV
  • HERE Technologies
  • Uber ATG（acquired）
  • Argo AI（defunct but historically notable）
  • Valeo
  • Hitachi Ltd.
  • Huawei Technologies
Product Code: SMRC33449

According to Stratistics MRC, the Global Autonomous Mobility Infrastructure Software Market is accounted for $19.8 billion in 2025 and is expected to reach $38.5 billion by 2032 growing at a CAGR of 10% during the forecast period. Autonomous Mobility Infrastructure Software enables the coordination, control, and optimization of self-driving vehicles within urban environments. It includes traffic management platforms, HD mapping engines, fleet orchestration tools, and real-time localization systems. These software layers interface with autonomous vehicles to manage intersections, reroute traffic, and ensure safe navigation. They are foundational to smart city ecosystems, supporting Mobility-as-a-Service (MaaS), autonomous shuttles, and connected infrastructure for scalable, safe autonomous transport.

According to StartUs Insights, the rise of V2X (Vehicle-to-Everything) communication is catalyzing demand for edge-computing software that manages real-time data exchange between self-driving fleets and smart roadside units.

Market Dynamics:

Driver:

Expansion of autonomous transport ecosystems

Expansion of autonomous transport ecosystems is a primary driver for the autonomous mobility infrastructure software market, as cities and mobility providers invest in connected, self-driving transport networks. Increasing deployment of autonomous shuttles, robotaxis, and intelligent traffic systems requires advanced software for coordination, simulation, and real-time decision-making. Governments and private operators are prioritizing digital mobility platforms to improve traffic efficiency, reduce congestion, and enhance road safety. Growing investments in smart city and intelligent transportation initiatives further accelerate market growth.

Restraint:

Interoperability across legacy infrastructure

Interoperability across legacy infrastructure remains a key restraint, as existing traffic management systems often operate on fragmented and outdated platforms. Integrating autonomous mobility software with conventional road infrastructure, signaling systems, and data standards increases implementation complexity. High customization requirements and integration costs can delay deployment timelines. Limited standardization across regions further complicates seamless software adoption, constraining scalability and slowing market penetration, particularly in cities with aging transport infrastructure.

Opportunity:

V2X-enabled traffic orchestration platforms

V2X-enabled traffic orchestration platforms represent a significant growth opportunity within the autonomous mobility infrastructure software market. Vehicle-to-everything communication enables real-time data exchange between vehicles, infrastructure, and traffic control systems. This capability supports adaptive traffic signaling, collision avoidance, and optimized routing. Rising adoption of connected vehicles and 5G networks enhances V2X feasibility. Cities aiming to reduce congestion and emissions increasingly view V2X-based software as a strategic mobility investment.

Threat:

Regulatory uncertainty across regions

Regulatory uncertainty across regions poses a major threat to market expansion. Autonomous mobility software deployment is heavily influenced by evolving safety standards, data privacy laws, and liability frameworks. Inconsistent regulations across countries and municipalities create uncertainty for technology providers and investors. Delays in policy approvals and pilot authorizations can slow commercialization. These regulatory risks may limit cross-border scalability and impact long-term adoption of autonomous mobility infrastructure solutions.

Covid-19 Impact:

The COVID-19 pandemic temporarily slowed infrastructure investments due to budget reallocations and delayed smart city projects. However, it also highlighted the need for contactless, automated transport systems and resilient mobility planning. Reduced traffic during lockdowns enabled cities to pilot digital traffic management and autonomous mobility solutions. Post-pandemic recovery strategies increasingly emphasize intelligent transportation systems, supporting renewed demand for autonomous mobility infrastructure software.

The traffic management software segment is expected to be the largest during the forecast period

The traffic management software segment is expected to account for the largest market share during the forecast period, due to its central role in coordinating autonomous and conventional traffic flows. These solutions enable real-time monitoring, congestion mitigation, and adaptive signal control. Increasing urbanization and traffic density drive demand for intelligent traffic optimization. Integration with autonomous vehicle systems and city command centers further strengthens adoption, making traffic management software the dominant revenue contributor.

The software platforms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the software platforms segment is predicted to witness the highest growth rate, propelled by increasing demand for scalable, cloud-based mobility solutions. These platforms support analytics, simulation, and system-wide orchestration without extensive hardware upgrades. Flexibility, interoperability, and rapid deployment capabilities make platform-based solutions attractive to cities and mobility operators. Advancements in AI, edge computing, and digital twins further accelerate growth across global markets.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid urbanization and large-scale smart mobility investments in China, Japan, South Korea, and Singapore. Governments actively support autonomous vehicle testing and intelligent transportation systems. High population density and congestion challenges drive demand for advanced mobility software, positioning Asia Pacific as the leading regional market.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with strong autonomous vehicle innovation and supportive regulatory sandboxes. Significant investments by technology companies and city authorities in smart infrastructure accelerate adoption. Advanced digital ecosystems, early AV deployment, and emphasis on traffic safety and efficiency contribute to rapid regional market growth.

Key players in the market

Some of the key players in Autonomous Mobility Infrastructure Software Market include Waymo LLC, Cruise LLC, Aurora Innovation, Mobileye (Intel), NVIDIA Corporation, Siemens Mobility, Cisco Systems, PTV Group, INRIX, TomTom N.V., HERE Technologies, Uber ATG (acquired), Argo AI (defunct but historically notable), Valeo, Hitachi Ltd., and Huawei Technologies.

Key Developments:

In January 2025, Waymo broadened its autonomous ride-hailing operations in Los Angeles, integrating advanced traffic management APIs. This upgrade improved fleet coordination, reduced passenger wait times, and demonstrated scalable urban deployment of autonomous mobility infrastructure.

In December 2025, Cruise partnered with Honda in Japan to deploy autonomous mobility software. The collaboration focused on optimizing urban traffic flow, enhancing safety compliance, and advancing smart city integration for next-generation autonomous transportation ecosystems.

In November 2025, Aurora launched its Aurora Driver 3.0 platform, delivering enhanced real-time localization and mapping. The system targeted autonomous freight logistics, improving route accuracy, operational efficiency, and reliability for long-haul autonomous trucking solutions.

Product Types Covered:

  • Traffic Management Software
  • Mapping & Localization Software
  • Fleet Orchestration Software

Components Covered:

  • Software Platforms
  • AI Algorithms
  • Data Management Modules
  • API & Integration Layers

Technologies Covered:

  • Artificial Intelligence
  • Computer Vision
  • V2X Communication
  • Cloud & Edge Computing

Applications Covered:

  • Autonomous Public Transport
  • Robotaxi Operations
  • Smart Intersections
  • Autonomous Logistics
  • Other Applications

End Users Covered:

  • Municipal Transportation Authorities
  • Smart City Agencies
  • Autonomous Vehicle Operators
  • Urban Infrastructure Developers
  • Traffic Management Solution Providers
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Technology Analysis
  • 3.8 Application Analysis
  • 3.9 End User Analysis
  • 3.10 Emerging Markets
  • 3.11 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Mobility Infrastructure Software Market, By Product Type

  • 5.1 Introduction
  • 5.2 Traffic Management Software
    • 5.2.1 Signal Optimization Platforms
    • 5.2.2 Intersection Coordination Systems
  • 5.3 Mapping & Localization Software
    • 5.3.1 HD Mapping Platforms
    • 5.3.2 Real-Time Localization Engines
  • 5.4 Fleet Orchestration Software
    • 5.4.1 Autonomous Fleet Dispatch
    • 5.4.2 Route Planning & Optimization

6 Global Autonomous Mobility Infrastructure Software Market, By Component

  • 6.1 Introduction
  • 6.2 Software Platforms
  • 6.3 AI Algorithms
  • 6.4 Data Management Modules
  • 6.5 API & Integration Layers

7 Global Autonomous Mobility Infrastructure Software Market, By Technology

  • 7.1 Introduction
  • 7.2 Artificial Intelligence
  • 7.3 Computer Vision
  • 7.4 V2X Communication
  • 7.5 Cloud & Edge Computing

8 Global Autonomous Mobility Infrastructure Software Market, By Application

  • 8.1 Introduction
  • 8.2 Autonomous Public Transport
  • 8.3 Robotaxi Operations
  • 8.4 Smart Intersections
  • 8.5 Autonomous Logistics
  • 8.6 Other Applications

9 Global Autonomous Mobility Infrastructure Software Market, By End User

  • 9.1 Introduction
  • 9.2 Municipal Transportation Authorities
  • 9.3 Smart City Agencies
  • 9.4 Autonomous Vehicle Operators
  • 9.5 Urban Infrastructure Developers
  • 9.6 Traffic Management Solution Providers
  • 9.7 Other End Users

10 Global Autonomous Mobility Infrastructure Software Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Waymo LLC
  • 12.2 Cruise LLC
  • 12.3 Aurora Innovation
  • 12.4 Mobileye (Intel)
  • 12.5 NVIDIA Corporation
  • 12.6 Siemens Mobility
  • 12.7 Cisco Systems
  • 12.8 PTV Group
  • 12.9 INRIX
  • 12.10 TomTom N.V.
  • 12.11 HERE Technologies
  • 12.12 Uber ATG (acquired)
  • 12.13 Argo AI (defunct but historically notable)
  • 12.14 Valeo
  • 12.15 Hitachi Ltd.
  • 12.16 Huawei Technologies

List of Tables

  • Table 1 Global Autonomous Mobility Infrastructure Software Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Mobility Infrastructure Software Market Outlook, By Product Type (2024-2032) ($MN)
  • Table 3 Global Autonomous Mobility Infrastructure Software Market Outlook, By Traffic Management Software (2024-2032) ($MN)
  • Table 4 Global Autonomous Mobility Infrastructure Software Market Outlook, By Signal Optimization Platforms (2024-2032) ($MN)
  • Table 5 Global Autonomous Mobility Infrastructure Software Market Outlook, By Intersection Coordination Systems (2024-2032) ($MN)
  • Table 6 Global Autonomous Mobility Infrastructure Software Market Outlook, By Mapping & Localization Software (2024-2032) ($MN)
  • Table 7 Global Autonomous Mobility Infrastructure Software Market Outlook, By HD Mapping Platforms (2024-2032) ($MN)
  • Table 8 Global Autonomous Mobility Infrastructure Software Market Outlook, By Real-Time Localization Engines (2024-2032) ($MN)
  • Table 9 Global Autonomous Mobility Infrastructure Software Market Outlook, By Fleet Orchestration Software (2024-2032) ($MN)
  • Table 10 Global Autonomous Mobility Infrastructure Software Market Outlook, By Autonomous Fleet Dispatch (2024-2032) ($MN)
  • Table 11 Global Autonomous Mobility Infrastructure Software Market Outlook, By Route Planning & Optimization (2024-2032) ($MN)
  • Table 12 Global Autonomous Mobility Infrastructure Software Market Outlook, By Component (2024-2032) ($MN)
  • Table 13 Global Autonomous Mobility Infrastructure Software Market Outlook, By Software Platforms (2024-2032) ($MN)
  • Table 14 Global Autonomous Mobility Infrastructure Software Market Outlook, By AI Algorithms (2024-2032) ($MN)
  • Table 15 Global Autonomous Mobility Infrastructure Software Market Outlook, By Data Management Modules (2024-2032) ($MN)
  • Table 16 Global Autonomous Mobility Infrastructure Software Market Outlook, By API & Integration Layers (2024-2032) ($MN)
  • Table 17 Global Autonomous Mobility Infrastructure Software Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Autonomous Mobility Infrastructure Software Market Outlook, By Artificial Intelligence (2024-2032) ($MN)
  • Table 19 Global Autonomous Mobility Infrastructure Software Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 20 Global Autonomous Mobility Infrastructure Software Market Outlook, By V2X Communication (2024-2032) ($MN)
  • Table 21 Global Autonomous Mobility Infrastructure Software Market Outlook, By Cloud & Edge Computing (2024-2032) ($MN)
  • Table 22 Global Autonomous Mobility Infrastructure Software Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Autonomous Mobility Infrastructure Software Market Outlook, By Autonomous Public Transport (2024-2032) ($MN)
  • Table 24 Global Autonomous Mobility Infrastructure Software Market Outlook, By Robotaxi Operations (2024-2032) ($MN)
  • Table 25 Global Autonomous Mobility Infrastructure Software Market Outlook, By Smart Intersections (2024-2032) ($MN)
  • Table 26 Global Autonomous Mobility Infrastructure Software Market Outlook, By Autonomous Logistics (2024-2032) ($MN)
  • Table 27 Global Autonomous Mobility Infrastructure Software Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 28 Global Autonomous Mobility Infrastructure Software Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Autonomous Mobility Infrastructure Software Market Outlook, By Municipal Transportation Authorities (2024-2032) ($MN)
  • Table 30 Global Autonomous Mobility Infrastructure Software Market Outlook, By Smart City Agencies (2024-2032) ($MN)
  • Table 31 Global Autonomous Mobility Infrastructure Software Market Outlook, By Autonomous Vehicle Operators (2024-2032) ($MN)
  • Table 32 Global Autonomous Mobility Infrastructure Software Market Outlook, By Urban Infrastructure Developers (2024-2032) ($MN)
  • Table 33 Global Autonomous Mobility Infrastructure Software Market Outlook, By Traffic Management Solution Providers (2024-2032) ($MN)
  • Table 34 Global Autonomous Mobility Infrastructure Software Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.