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市场调查报告书
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1744689

自动驾驶汽车高清地图市场：2032 年全球预测：按组件、解决方案类型、自动化程度、车辆、应用和地区划分

HD Map for Autonomous Vehicle Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, Services and Other Components), Solution Type, Level of Automation, Vehicle, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球自动驾驶汽车 (AV) 高清地图市场预计在 2025 年达到 40 亿美元，到 2032 年将达到 297 亿美元，预测期内的复合年增长率为 32.9%。

自动驾驶汽车高清地图是高解析度地理空间地图系统，旨在为自动驾驶技术提供精准的道路和环境数据。这些地图超越了传统的导航，提供车道级的详细精度、3D道路结构和即时交通状况更新。它们整合了光达、GPS、人工智慧和感测器融合技术，以增强车辆​​定位和路线优化。高清地图在先进的行动出行解决方案中发挥关键作用，使自动驾驶系统能够预测道路变化、侦测障碍物并确保安全导航。

据5G汽车协会（5GAA）称，这项技术将在未来为许多数位车载服务提供更高品质的服务。因此，所有这些因素都将在不久的将来直接推动自动驾驶汽车高清地图市场的成长。

更加重视即时地图更新

对自动驾驶技术的日益依赖，推动了对即时高清地图更新的需求。这些地图能够提供精准的道路状况、交通模式和环境变化，确保自动驾驶汽车的无缝导航。得益于人工智慧地图绘製、感测器融合和云端基础资料处理技术的进步，持续更新成为可能。随着自动驾驶出行的扩展，即时更新将在增强车辆决策、减少导航错误和优化路线规划以提高效率方面发挥关键作用。

缺乏即时资讯和动态更新

由于施工、事故、天气变化等原因，道路状况经常变化，因此需要不断更新。然而，数据收集、处理速度以及与车辆系统整合方面的限制可能会导致资讯过时，从而影响自动驾驶汽车的性能。此外，依赖第三方地图提供者可能会导致更新延迟，进而影响导航系统的可靠性并延迟其市场推广。

众包地图和车辆学习

自动驾驶汽车和连网车队可以持续收集和共用道路数据，从而提高地图的准确性和反应速度。这种方法利用人工智慧主导的分析、车辆感测器和即时回馈迴路来动态改善导航系统。随着越来越多的车辆加入地图网络，高清地图的可扩展性和准确性将进一步提升，从而减少对手动更新的依赖，并实现自动驾驶出行的自适应路线优化。

无地图或仅感测器自动驾驶方法的兴起

一些自动驾驶系统仅依靠光达、雷达和车载人工智慧来即时解读周围环境，而无需预先绘製地图的数据。虽然这种方法提高了在不可预测环境中的适应性，但它可能会减少某些应用中对高清地图的需求。随着基于感测器的导航技术的发展，高清地图提供者需要透过整合将地图数据与即时感知技术相结合的混合解决方案来创新并保持市场竞争力。

COVID-19的影响：

随着各行各业寻求非接触式运输和物流效率，疫情加速了自动驾驶行程和数位地图解决方案的采用。儘管早期的疫情中断影响了地图基础设施和资料收集，但对自动导航、智慧城市整合和人工智慧驱动出行的需求却大幅成长。政府和企业纷纷投资自动驾驶配送系统、共享出行平台和智慧交通管理，这进一步凸显了高清地图在后疫情时代城市规划和出行策略中的重要性。

预计在预测期内软体部分将成为最大的部分。

由于人工智慧地图、云端基础更新和即时数据处理的进步，软体领域预计将在预测期内占据最大的市场占有率。这些解决方案能够与自动驾驶汽车系统无缝集成，从而提高导航精度和决策能力。人工智慧演算法提高了地图精度，使车辆能够有效解读路况。此外，基于软体的高清地图有助于进行预测分析，使自动驾驶系统能够预测障碍物并动态优化路线。

预计预测期内云端基础地图细分市场将实现最高复合年增长率

在预测期内，云端基础的高清地图细分市场预计将实现最高成长率，这得益于其可扩展性、可访问性和持续更新。云端基础的解决方案提供即时同步功能，确保自动驾驶汽车接收最新的道路数据，从而优化效能。这些地图利用边缘运算和人工智慧增强处理技术，可以即时更新交通模式、路况和环境变化。它们能够与连网汽车生态系统集成，从而提高营运效率并减少对静态地图系统的依赖。

比最大的地区

由于自动驾驶汽车的普及、政府法规的出台以及对智慧运输基础设施的大力投资，预计北美将在预测期内占据最大的市场占有率。该地区受益于先进的人工智慧研究、高科技汽车创新以及地图提供者与汽车製造商之间的战略联盟。此外，鼓励自动驾驶安全和智慧城市融合的法律规范正在加速高清地图的部署，进一步巩固北美在市场中的地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这得益于快速的都市化、汽车产量的增长以及由人工智慧驱动的交通运输倡议。中国、日本和韩国等国家正大力投资自动驾驶出行、智慧基础设施和人工智慧地图技术。政府支持智慧交通系统和车联网的措施正在推动对高清地图的需求。

免费客製化服务：

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合概况（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

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

第五章 全球 AV 高清地图市场（按组件）

  • 硬体
    • 相机
    • LiDAR
    • 雷达
    • GPS/GNSS
    • IMU
    • 其他的
  • 软体
    • 资料聚合和地图软体
    • 3D地图软体
    • 在地化软体
    • 感知软体
    • 路线规划软体
    • 软体更新及维护
  • 服务
    • 地图和本地化服务
    • 更新和维护服务
    • 咨询服务
    • 广告服务
  • 其他的

第六章 全球 AV 高画质地图市场（依解决方案类型）

  • 云端基础的高清地图
  • 嵌入式高清地图

7. 全球自动驾驶汽车高清地图市场（依自动化程度）

  • 半 AV
    • 2级（部分驾驶自动化）
    • 3级（有条件驾驶自动化）
  • 完全AV
    • 4级（高度自动化驾驶）
    • 5级（全自动驾驶）
  • 其他的

第 8 章全球自动驾驶汽车高清地图市场（按车型）

  • 搭乘用车
  • 商用车
    • 轻型商用车（LCV）
    • 重型商用车（HCV）

第九章 自动驾驶汽车高清地图的全球市场（按应用）

  • 个人出行
  • 商业移动性
  • 对应
  • 本土化
  • 障碍物侦测
  • 路径规划
  • 交通管理
  • 车队管理
  • 其他的

第 10 章全球自动驾驶汽车高清地图市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 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
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司简介

  • NVIDIA
  • TomTom
  • HERE Technologies
  • Waymo
  • Baidu
  • Dynamic Map Platform
  • NavInfo
  • Mapbox
  • Carmera
  • Zenrin
  • Civil Maps
  • Woven Planet Holdings（Toyota subsidiary）
  • Atlatec
  • Intel Mobileye
  • Mapillary
  • DeepMap
  • Sanborn Map Company
Product Code: SMRC29737

According to Stratistics MRC, the Global HD Map for Autonomous Vehicle Market is accounted for $4.0 billion in 2025 and is expected to reach $29.7 billion by 2032 growing at a CAGR of 32.9% during the forecast period. HD map for autonomous vehicles is a high-resolution, geospatial mapping system designed to provide precise road and environmental data for self-driving technology. These maps go beyond traditional navigation, offering detailed lane-level accuracy, 3D road structures, and real-time updates on traffic conditions. They integrate LiDAR, GPS, AI, and sensor fusion to enhance vehicle localization and route optimization. HD maps enable autonomous systems to anticipate road changes, detect obstacles, and ensure safe navigation, playing a crucial role in advanced mobility solutions.

According to the 5G Automotive Association (5GAA), this technology will offer even higher quality for many digital in-car services in the future. Thus, all these factors will directly propel the growth of HD mapping for the autonomous vehicles market in the near future.

Market Dynamics:

Driver:

Growing focus on real-time map updates

The increasing reliance on autonomous driving technology has heightened the demand for real-time HD map updates. These maps provide precise road conditions, traffic patterns, and environmental changes, ensuring seamless navigation for self-driving vehicles. Advancements in AI-driven mapping, sensor fusion, and cloud-based data processing are enabling continuous updates. As autonomous mobility expands, real-time updates will play a crucial role in enhancing vehicle decision-making, reducing navigation errors, and optimizing route planning for improved efficiency.

Restraint:

Lack of real-time information and dynamic updates

Road conditions frequently change due to construction, accidents, and weather variations, requiring constant updates. However, limitations in data collection, processing speed, and integration with vehicle systems can lead to outdated information, affecting autonomous vehicle performance. Additionally, reliance on third-party mapping providers may introduce delays in updates, impacting the reliability of navigation systems and slowing market adoption.

Opportunity:

Crowdsourced mapping and fleet learning

Autonomous vehicles and connected fleets can continuously collect and share road data, enhancing map accuracy and responsiveness. This approach leverages AI-driven analytics, vehicle sensors, and real-time feedback loops to refine navigation systems dynamically. As more vehicles contribute to mapping networks, the scalability and precision of HD maps improve, reducing dependency on manual updates and enabling adaptive route optimization for autonomous mobility.

Threat:

Rise of mapless or sensor-only autonomous driving approaches

Some autonomous systems rely solely on LiDAR, radar, and onboard AI to interpret surroundings in real time, eliminating the need for pre-mapped data. While this approach enhances adaptability in unpredictable environments, it may reduce demand for HD maps in certain applications. As sensor-based navigation evolves, HD map providers must innovate by integrating hybrid solutions that combine mapping data with real-time perception technologies to maintain market relevance.

Covid-19 Impact:

The pandemic accelerated the adoption of autonomous mobility and digital mapping solutions, as industries sought contactless transportation and logistics efficiency. While initial disruptions affected mapping infrastructure and data collection, the demand for automated navigation, smart city integration, and AI-driven mobility surged. Governments and enterprises invested in autonomous delivery systems, ride-sharing platforms, and intelligent traffic management, reinforcing the importance of HD maps in post-pandemic urban planning and mobility strategies.

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

The software segment is expected to account for the largest market share during the forecast period driven by advancements in AI-powered mapping, cloud-based updates, and real-time data processing. These solutions enable seamless integration with autonomous vehicle systems, enhancing navigation accuracy and decision-making. AI-driven algorithms refine mapping precision, ensuring vehicles can interpret road conditions effectively. Additionally, software-based HD maps facilitate predictive analytics, allowing autonomous systems to anticipate obstacles and optimize routes dynamically.

The cloud-based HD maps segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based HD maps segment is predicted to witness the highest growth rate fueled by scalability, accessibility, and continuous updates. Cloud-based solutions provide real-time synchronization; ensuring autonomous vehicles receive the latest road data for optimized performance. These maps leverage edge computing and AI-enhanced processing, enabling instant updates on traffic patterns, road conditions, and environmental changes. The ability to integrate with connected vehicle ecosystems enhances operational efficiency, reducing reliance on static mapping systems.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share attributed strong autonomous vehicle adoption, government regulations, and investments in smart mobility infrastructure. The region benefits from advanced AI research, high-tech automotive innovation, and strategic collaborations between mapping providers and automakers. Additionally, regulatory frameworks promoting autonomous driving safety and smart city integration are accelerating HD map deployment further strengthens market expansion, positioning North America.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid urbanization, increasing automotive production, and AI-driven transportation initiatives. Countries like China, Japan, and South Korea are investing heavily in autonomous mobility, smart infrastructure, and AI-powered mapping technologies. Government-backed initiatives supporting intelligent transportation systems and connected vehicle networks are fueling demand for HD maps.

Key players in the market

Some of the key players in HD Map for Autonomous Vehicle Market include NVIDIA, TomTom, HERE Technologies, Waymo, Baidu, Dynamic Map Platform, NavInfo, Mapbox, Carmera, Zenrin, Civil Maps, Woven Planet Holdings (Toyota subsidiary), Atlatec, Intel Mobileye, Mapillary, DeepMap, and Sanborn Map Company.

Key Developments:

In May 2025, NVIDIA unveiled NVLink Fusion, a new silicon technology enabling industries to build semi-custom AI infrastructure with the vast ecosystem of partners using NVIDIA NVLink. This advancement aims to enhance the performance and scalability of AI systems.

In May 2025, Waymo announced an investment in a new autonomous vehicle factory in Metro Phoenix, in partnership with Magna, to scale its fleet and meet growing U.S. ridership demand.

In April 2025, TomTom partnered with smart to provide enhanced navigation solutions for smart #1, #3, and #5 models, elevating the driving experience with industry-leading navigation technology.

Components Covered:

  • Hardware
  • Software
  • Services
  • Other Components

Solution Types Covered:

  • Cloud-Based HD Maps
  • Embedded HD Maps

Level of Automations Covered:

  • Semi-Autonomous Vehicles
  • Fully Autonomous Vehicles
  • Other Level of Automations

Vehicles Covered:

  • Passenger Vehicles
  • Commercial Vehicles

Applications Covered:

  • Personal Mobility
  • Commercial Mobility
  • Mapping
  • Localization
  • Obstacle Detection
  • Path Planning
  • Traffic Management
  • Fleet Management
  • Other Applications

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 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 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 HD Map for Autonomous Vehicle Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Cameras
    • 5.2.2 LiDAR
    • 5.2.3 Radar
    • 5.2.4 GPS/GNSS
    • 5.2.5 IMU (Inertial Measurement Unit)
    • 5.2.6 Other Hardwares
  • 5.3 Software
    • 5.3.1 Data Aggregation & Mapping Software
    • 5.3.2 3D Mapping Software
    • 5.3.3 Localization Software
    • 5.3.4 Perception Software
    • 5.3.5 Path Planning Software
    • 5.3.6 Update & Maintenance Software
  • 5.4 Services
    • 5.4.1 Mapping & Localization Services
    • 5.4.2 Updates & Maintenance Services
    • 5.4.3 Consulting Services
    • 5.4.4 Advertisement Services
  • 5.5 Other Components

6 Global HD Map for Autonomous Vehicle Market, By Solution Type

  • 6.1 Introduction
  • 6.2 Cloud-Based HD Maps
  • 6.3 Embedded HD Maps

7 Global HD Map for Autonomous Vehicle Market, By Level of Automation

  • 7.1 Introduction
  • 7.2 Semi-Autonomous Vehicles
    • 7.2.1 Level 2 (Partial Driving Automation)
    • 7.2.2 Level 3 (Conditional Driving Automation)
  • 7.3 Fully Autonomous Vehicles
    • 7.3.1 Level 4 (High Driving Automation)
    • 7.3.2 Level 5 (Full Driving Automation)
  • 7.4 Other Level of Automations

8 Global HD Map for Autonomous Vehicle Market, By Vehicle

  • 8.1 Introduction
  • 8.2 Passenger Vehicles
  • 8.3 Commercial Vehicles
    • 8.3.1 Light Commercial Vehicles (LCVs)
    • 8.3.2 Heavy Commercial Vehicles (HCVs)

9 Global HD Map for Autonomous Vehicle Market, By Application

  • 9.1 Introduction
  • 9.2 Personal Mobility
  • 9.3 Commercial Mobility
  • 9.4 Mapping
  • 9.5 Localization
  • 9.6 Obstacle Detection
  • 9.7 Path Planning
  • 9.8 Traffic Management
  • 9.9 Fleet Management
  • 9.10 Other Applications

10 Global HD Map for Autonomous Vehicle 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 NVIDIA
  • 12.2 TomTom
  • 12.3 HERE Technologies
  • 12.4 Waymo
  • 12.5 Baidu
  • 12.6 Dynamic Map Platform
  • 12.7 NavInfo
  • 12.8 Mapbox
  • 12.9 Carmera
  • 12.10 Zenrin
  • 12.11 Civil Maps
  • 12.12 Woven Planet Holdings (Toyota subsidiary)
  • 12.13 Atlatec
  • 12.14 Intel Mobileye
  • 12.15 Mapillary
  • 12.16 DeepMap
  • 12.17 Sanborn Map Company

List of Tables

  • Table 1 Global HD Map for Autonomous Vehicle Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global HD Map for Autonomous Vehicle Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global HD Map for Autonomous Vehicle Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global HD Map for Autonomous Vehicle Market Outlook, By Cameras (2024-2032) ($MN)
  • Table 5 Global HD Map for Autonomous Vehicle Market Outlook, By LiDAR (2024-2032) ($MN)
  • Table 6 Global HD Map for Autonomous Vehicle Market Outlook, By Radar (2024-2032) ($MN)
  • Table 7 Global HD Map for Autonomous Vehicle Market Outlook, By GPS/GNSS (2024-2032) ($MN)
  • Table 8 Global HD Map for Autonomous Vehicle Market Outlook, By IMU (Inertial Measurement Unit) (2024-2032) ($MN)
  • Table 9 Global HD Map for Autonomous Vehicle Market Outlook, By Other Hardwares (2024-2032) ($MN)
  • Table 10 Global HD Map for Autonomous Vehicle Market Outlook, By Software (2024-2032) ($MN)
  • Table 11 Global HD Map for Autonomous Vehicle Market Outlook, By Data Aggregation & Mapping Software (2024-2032) ($MN)
  • Table 12 Global HD Map for Autonomous Vehicle Market Outlook, By 3D Mapping Software (2024-2032) ($MN)
  • Table 13 Global HD Map for Autonomous Vehicle Market Outlook, By Localization Software (2024-2032) ($MN)
  • Table 14 Global HD Map for Autonomous Vehicle Market Outlook, By Perception Software (2024-2032) ($MN)
  • Table 15 Global HD Map for Autonomous Vehicle Market Outlook, By Path Planning Software (2024-2032) ($MN)
  • Table 16 Global HD Map for Autonomous Vehicle Market Outlook, By Update & Maintenance Software (2024-2032) ($MN)
  • Table 17 Global HD Map for Autonomous Vehicle Market Outlook, By Services (2024-2032) ($MN)
  • Table 18 Global HD Map for Autonomous Vehicle Market Outlook, By Mapping & Localization Services (2024-2032) ($MN)
  • Table 19 Global HD Map for Autonomous Vehicle Market Outlook, By Updates & Maintenance Services (2024-2032) ($MN)
  • Table 20 Global HD Map for Autonomous Vehicle Market Outlook, By Consulting Services (2024-2032) ($MN)
  • Table 21 Global HD Map for Autonomous Vehicle Market Outlook, By Advertisement Services (2024-2032) ($MN)
  • Table 22 Global HD Map for Autonomous Vehicle Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 23 Global HD Map for Autonomous Vehicle Market Outlook, By Solution Type (2024-2032) ($MN)
  • Table 24 Global HD Map for Autonomous Vehicle Market Outlook, By Cloud-Based HD Maps (2024-2032) ($MN)
  • Table 25 Global HD Map for Autonomous Vehicle Market Outlook, By Embedded HD Maps (2024-2032) ($MN)
  • Table 26 Global HD Map for Autonomous Vehicle Market Outlook, By Level of Automation (2024-2032) ($MN)
  • Table 27 Global HD Map for Autonomous Vehicle Market Outlook, By Semi-Autonomous Vehicles (2024-2032) ($MN)
  • Table 28 Global HD Map for Autonomous Vehicle Market Outlook, By Level 2 (Partial Driving Automation) (2024-2032) ($MN)
  • Table 29 Global HD Map for Autonomous Vehicle Market Outlook, By Level 3 (Conditional Driving Automation) (2024-2032) ($MN)
  • Table 30 Global HD Map for Autonomous Vehicle Market Outlook, By Fully Autonomous Vehicles (2024-2032) ($MN)
  • Table 31 Global HD Map for Autonomous Vehicle Market Outlook, By Level 4 (High Driving Automation) (2024-2032) ($MN)
  • Table 32 Global HD Map for Autonomous Vehicle Market Outlook, By Level 5 (Full Driving Automation) (2024-2032) ($MN)
  • Table 33 Global HD Map for Autonomous Vehicle Market Outlook, By Other Level of Automations (2024-2032) ($MN)
  • Table 34 Global HD Map for Autonomous Vehicle Market Outlook, By Vehicle (2024-2032) ($MN)
  • Table 35 Global HD Map for Autonomous Vehicle Market Outlook, By Passenger Vehicles (2024-2032) ($MN)
  • Table 36 Global HD Map for Autonomous Vehicle Market Outlook, By Commercial Vehicles (2024-2032) ($MN)
  • Table 37 Global HD Map for Autonomous Vehicle Market Outlook, By Light Commercial Vehicles (LCVs) (2024-2032) ($MN)
  • Table 38 Global HD Map for Autonomous Vehicle Market Outlook, By Heavy Commercial Vehicles (HCVs) (2024-2032) ($MN)
  • Table 39 Global HD Map for Autonomous Vehicle Market Outlook, By Application (2024-2032) ($MN)
  • Table 40 Global HD Map for Autonomous Vehicle Market Outlook, By Personal Mobility (2024-2032) ($MN)
  • Table 41 Global HD Map for Autonomous Vehicle Market Outlook, By Commercial Mobility (2024-2032) ($MN)
  • Table 42 Global HD Map for Autonomous Vehicle Market Outlook, By Mapping (2024-2032) ($MN)
  • Table 43 Global HD Map for Autonomous Vehicle Market Outlook, By Localization (2024-2032) ($MN)
  • Table 44 Global HD Map for Autonomous Vehicle Market Outlook, By Obstacle Detection (2024-2032) ($MN)
  • Table 45 Global HD Map for Autonomous Vehicle Market Outlook, By Path Planning (2024-2032) ($MN)
  • Table 46 Global HD Map for Autonomous Vehicle Market Outlook, By Traffic Management (2024-2032) ($MN)
  • Table 47 Global HD Map for Autonomous Vehicle Market Outlook, By Fleet Management (2024-2032) ($MN)
  • Table 48 Global HD Map for Autonomous Vehicle Market Outlook, By Other Applications (2024-2032) ($MN)

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