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自動駕駛汽車高清地圖市場：2032 年全球預測：按組件、解決方案類型、自動化程度、車輛、應用和地區分類

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個工作天內

價格

根據 Stratistics MRC 的數據，全球自動駕駛汽車 (AV) 高清地圖市場預計在 2025 年達到 40 億美元，到 2032 年將達到 297 億美元，預測期內的複合年成長率為 32.9%。

自動駕駛汽車高清地圖是高解析度地理空間地圖系統，旨在為自動駕駛技術提供精準的道路和環境數據。這些地圖超越了傳統的導航，提供車道級的詳細精度、3D道路結構和即時交通狀況更新。它們整合了LiDAR、GPS、人工智慧和感測器融合技術，以增強車輛​​定位和路線最佳化。高清地圖在先進的行動出行解決方案中發揮關鍵作用，使自動駕駛系統能夠預測道路變化、偵測障礙物並確保安全導航。

據5G汽車協會（5GAA）稱，這項技術將在未來為許多數位車載服務提供更高品質的服務。因此，所有這些因素都將在不久的將來直接推動自動駕駛汽車高清地圖市場的成長。

更加重視即時地圖更新

對自動駕駛技術的日益依賴，推動了對即時高清地圖更新的需求。這些地圖能夠提供精準的道路狀況、交通模式和環境變化，確保自動駕駛汽車的無縫導航。得益於人工智慧地圖繪製、感測器融合和雲端基礎資料處理技術的進步，持續更新成為可能。隨著自動駕駛出行的擴展，即時更新將在增強車輛決策、減少導航錯誤和最佳化路線規劃以提高效率方面發揮關鍵作用。

缺乏即時資訊和動態更新

由於施工、事故、天氣變化等原因，道路狀況經常變化，因此需要不斷更新。然而，數據收集、處理速度以及與車輛系統整合方面的限制可能會導致資訊過時，從而影響自動駕駛汽車的性能。此外，依賴第三方地圖提供者可能會導致更新延遲，進而影響導航系統的可靠性並延遲其市場推廣。

群眾外包地圖和車輛學習

自動駕駛汽車和連網車隊可以持續收集和共用道路數據，從而提高地圖的準確性和反應速度。這種方法利用人工智慧主導的分析、車輛感測器和即時回饋迴路來動態改善導航系統。隨著越來越多的車輛加入地圖網路，高清地圖的可擴展性和準確性將進一步提升，從而減少對手動更新的依賴，並實現自動駕駛出行的自適應路線最佳化。

無地圖或僅感測器自動駕駛方法的興起

一些自動駕駛系統僅依靠LiDAR、雷達和車載人工智慧來即時解讀周圍環境，而無需預先繪製地圖的數據。雖然這種方法提高了在不可預測環境中的適應性，但它可能會減少某些應用中對高清地圖的需求。隨著基於感測器的導航技術的發展，高清地圖提供者需要透過整合將地圖數據與即時感知技術相結合的混合解決方案來創新並保持市場競爭力。

COVID-19的影響：

隨著各行各業尋求非接觸式運輸和物流效率，疫情加速了自動駕駛行程和數位地圖解決方案的採用。儘管早期的疫情中斷影響了地圖基礎設施和資料收集，但對自動導航、智慧城市整合和人工智慧驅動出行的需求卻大幅成長。政府和企業紛紛投資自動駕駛配送系統、共享出行平台和智慧交通管理，這進一步凸顯了高清地圖在後疫情時代城市規劃和出行策略中的重要性。

預計在預測期內軟體部分將成為最大的部分。

由於人工智慧地圖、雲端基礎更新和即時數據處理的進步，軟體領域預計將在預測期內佔據最大的市場佔有率。這些解決方案能夠與自動駕駛汽車系統無縫整合，從而提高導航精度和決策能力。人工智慧演算法提高了地圖精度，使車輛能夠有效解讀路況。此外，基於軟體的高清地圖有助於進行預測分析，使自動駕駛系統能夠預測障礙物並動態最佳化路線。

預計預測期內雲端基礎地圖細分市場將實現最高複合年成長率

在預測期內，雲端基礎的高清地圖細分市場預計將實現最高成長率，這得益於其可擴展性、可訪問性和持續更新。雲端基礎的解決方案提供即時同步功能，確保自動駕駛汽車接收最新的道路數據，從而最佳化效能。這些地圖利用邊緣運算和人工智慧增強處理技術，可以即時更新交通模式、路況和環境變化。它們能夠與連網汽車生態系統整合，從而提高營運效率並減少對靜態地圖系統的依賴。

比最大的地區

由於自動駕駛汽車的普及、政府法規的訂定以及對智慧運輸基礎設施的大力投資，預計北美將在預測期內佔據最大的市場佔有率。該地區受益於先進的人工智慧研究、高科技汽車創新以及地圖提供者與汽車製造商之間的戰略聯盟。此外，鼓勵自動駕駛安全和智慧城市融合的法律規範正在加速高清地圖的部署，進一步鞏固北美在市場中的地位。

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，這得益於快速的都市化、汽車產量的成長以及由人工智慧驅動的交通運輸舉措。中國、日本和韓國等國家正大力投資自動駕駛出行、智慧基礎設施和人工智慧地圖技術。政府支持智慧交通系統和車聯網的措施正在推動對高清地圖的需求。

免費客製化服務：

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合概況（最多 3 家公司）
    • 主要企業的SWOT分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章全球AV 高清地圖市場（按組件）

  • 硬體
    • 相機
    • LiDAR
    • 雷達
    • GPS/GNSS
    • IMU
    • 其他
  • 軟體
    • 資料聚合和地圖軟體
    • 3D地圖軟體
    • 在地化軟體
    • 感知軟體
    • 路線規劃軟體
    • 軟體更新及維護
  • 服務
    • 地圖和本地化服務
    • 更新和維護服務
    • 諮詢服務
    • 廣告服務
  • 其他

第6章全球AV 高畫質地圖市場（依解決方案類型）

  • 雲端基礎的高清地圖
  • 嵌入式高清地圖

7. 全球自動駕駛汽車高清地圖市場（依自動化程度）

  • 半 AV
    • 2級（部分駕駛自動化）
    • 3級（有條件駕駛自動化）
  • 完全AV
    • 4級（高度自動化駕駛）
    • 5級（全自動駕駛）
  • 其他

第 8 章全球自動駕駛汽車高清地圖市場（按車型）

  • 搭乘用車
  • 商用車
    • 輕型商用車（LCV）
    • 重型商用車（HCV）

第9章 自動駕駛汽車高清地圖的全球市場（按應用）

  • 個人出行
  • 商業移動性
  • 對應
  • 本土化
  • 障礙物偵測
  • 路徑規劃
  • 交通管理
  • 車隊管理
  • 其他

第 10 章全球自動駕駛汽車高清地圖市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司簡介

  • 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.