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市場調查報告書
商品編碼
1544596

自動駕駛汽車市場高畫質地圖、機會、成長動力、產業趨勢分析與預測,2024-2032

HD Map for Autonomous Vehicles Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在重大技術進步和對自動駕駛解決方案不斷成長的需求的推動下,2024年至2032年全球自動駕駛汽車高清地圖市場將以超過30%的複合年成長率成長。高清 (HD) 地圖對於成功部署自動駕駛汽車至關重要,它可以準確、詳細地表示道路環境,包括車道邊界、交通號誌和 3D 幾何形狀。

隨著自動駕駛汽車市場的不斷擴大,對精確、即時地圖資料的需求變得至關重要。例如,2023年12月,位置資料和技術平台HERE Technologies宣布其HERE高清即時地圖現已應用於寶馬新7系,並具有BMW Personal Pilot Level 3高度自動駕駛功能。

汽車製造商和技術公司對研發的投資不斷增加,加上旨在提高測繪精度的合作夥伴關係,正在推動市場向前發展。隨著政府和私人實體越來越認知到高清地圖在支援自動駕駛汽車部署方面的價值,智慧城市措施的興起以及對更安全、更有效率的交通系統的推動也促進了市場的成長。

自動駕駛汽車產業整體高清地圖根據解決方案、技術、應用、車輛類型、最終用途和區域進行分類。

包括地圖創建、維護和更新在內的服務領域預計將推動自動駕駛汽車高清地圖市場的大幅成長。道路環境的動態特性需要不斷更新高清地圖以確保準確性和可靠性。專門從事高清地圖創建的服務提供者利用先進的資料收集技術(例如雷射雷達和基於攝影機的系統)來產生支援自動駕駛的高保真地圖。道路網路的日益複雜性和城市的快速發展正在推動對強大且可擴展的地圖服務的需求,使該細分市場實現顯著成長。

隨著汽車製造商加大對自動駕駛技術的投資,他們將在自動駕駛汽車高清地圖市場中佔據重要佔有率。這些製造商依靠高清地圖來實現先進駕駛輔助系統(ADAS) 和全自動駕駛功能。高清地圖提供必要的上下文資訊,補充來自攝影機、雷達和LiDAR的感測器資料,使自動駕駛車輛能夠精確地在複雜的環境中導航。在預測期內,推動自動駕駛汽車的開發和商業化將推動這一最終用戶領域的巨大需求。

歐洲的自動駕駛汽車高清地圖市場預計將在 2024 年至 2032 年間實現顯著成長。此外,該地區領先的汽車製造商和技術公司的存在促進了高清地圖解決方案的創新。歐盟承諾透過採用自動駕駛汽車來減少道路事故和排放,進一步支持了該地區高清地圖市場的成長。

目錄

第 1 章:範圍與方法

  • 市場範圍和定義
  • 基本估計和計算
  • 預測參數
  • 數據來源
    • 基本的
    • 中學
      • 付費來源
      • 公共來源

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商矩陣
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 自動駕駛汽車技術的進步
      • 汽車製造商和科技公司增加投資
      • 測繪和資料收集的技術創新
      • 合作與策略夥伴關係
      • 監管支持和政府舉措
    • 產業陷阱與挑戰
      • 開發和維護成本高
      • 監管和標準化挑戰
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按解決方案,2021 - 2032 年

  • 主要趨勢
  • 軟體
    • 高清地圖創建
    • 高清地圖更新
    • 高清地圖視覺化
  • 服務
    • 資料收集和處理
    • 整合服務

第 6 章:市場估計與預測:按技術分類,2021 - 2032 年

  • 主要趨勢
  • 基於LiDAR的測繪
  • 以相機為基礎的測繪
  • 基於雷達的測繪
  • 感測器組合

第 7 章:市場估計與預測:按應用分類,2021 - 2032

  • 主要趨勢
  • 導航
  • ADAS(先進駕駛輔助系統)
  • 自動駕駛
  • 車隊管理
  • 交通管理
  • 其他

第 8 章:市場估計與預測:按車型分類,2021 - 2032 年

  • 主要趨勢
  • 搭乘用車
  • 商用車
  • 機器人車輛

第 9 章:市場估計與預測:按最終用戶分類,2021 - 2032 年

  • 主要趨勢
  • 汽車製造商
  • 科技公司
  • 政府和公共當局
  • 其他

第 10 章:市場估計與預測:按地區分類,2021 - 2032 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • MEA 的其餘部分

第 11 章:公司簡介

  • Apple Inc (Apple Maps)
  • Aptiv PLC
  • Baidu Inc(Apollo)
  • Carmera Inc
  • Civil Maps
  • DeepMap Inc
  • Dynamic Map Platform Co., Ltd. (DMP)
  • Google LLC (Waymo)
  • HERE Technologies
  • Mapbox
  • Mitsubishi Electric Corporation
  • NavInfo Europe B.V.
  • Nvidia Corporation (NVIDIA DRIVE)
  • TomTom N.V.
  • Valeo
簡介目錄
Product Code: 10129

Global HD Map for Autonomous Vehicles Market will grow at over 30% CAGR from 2024 to 2032, fueled by significant technological advancements and the increasing demand for autonomous driving solutions. High-definition (HD) maps are essential for successfully deploying autonomous vehicles, providing accurate and detailed representations of road environments, including lane boundaries, traffic signals, and 3D geometry.

As the autonomous vehicle market continues to expand, the need for precise and real-time mapping data becomes critical. For instance, in December 2023, HERE Technologies, a location data and technology platform, announced that its HERE HD Live Map was now being used in BMW's new 7 Series with the BMW Personal Pilot Level 3 highly automated driving function.

The growing investments in research and development by automotive manufacturers and technology companies, coupled with partnerships aimed at enhancing mapping accuracy, are driving the market forward. The rise of smart city initiatives and the push for safer, more efficient transportation systems are also contributing to the market growth, as governments and private entities increasingly recognize the value of HD maps in supporting autonomous vehicle deployment.

The overall HD Map for Autonomous Vehicles Industry is classified based on solution, technology, application, vehicle type, end-use, and region.

The services segment, encompassing map creation, maintenance, and updating, is expected to drive substantial growth in the HD Map for Autonomous Vehicles Market. The dynamic nature of road environments necessitates continuous updates to HD maps to ensure accuracy and reliability. Service providers specializing in HD map creation leverage advanced data collection techniques, such as LiDAR and camera-based systems, to produce high-fidelity maps that support autonomous driving. The increasing complexity of road networks and the rapid pace of urban development are driving demand for robust and scalable mapping services, positioning this segment for significant growth.

Automotive manufacturers will capture a significant share of the HD Map for Autonomous Vehicles Market as they increasingly invest in autonomous driving technologies. These manufacturers rely on HD maps to enable advanced driver assistance systems (ADAS) and fully autonomous driving capabilities. HD maps provide the necessary contextual information that complements sensor data from cameras, radar, and LiDAR, allowing autonomous vehicles to navigate complex environments with precision. The push towards developing and commercializing autonomous vehicles will drive significant demand from this end-user segment over the forecast period.

Europe is poised to experience significant growth in the HD Map for Autonomous Vehicles Market between 2024 and 2032. The region's strong automotive industry, in line with a proactive regulatory environment and substantial investments in autonomous driving research, contributes to this expansion. Moreover, the presence of leading automotive manufacturers and technology companies in the region fosters innovation in HD mapping solutions. The European Union's commitment to reducing road accidents and emissions through the adoption of autonomous vehicles further supports the growth of the HD map market in the region.

Table of Contents

Chapter 1 Scope and Methodology

  • 1.1 Market scope and definition
  • 1.2 Base estimates and calculations
  • 1.3 Forecast parameters
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360º synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Technology and innovation landscape
  • 3.4 Patent analysis
  • 3.5 Key news and initiatives
  • 3.6 Regulatory landscape
  • 3.7 Impact forces
    • 3.7.1 Growth drivers
      • 3.7.1.1 Advancements in autonomous vehicle technology
      • 3.7.1.2 Increasing investment by automakers and tech companies
      • 3.7.1.3 Technological innovations in mapping and data collection
      • 3.7.1.4 Collaborations and strategic partnerships
      • 3.7.1.5 Regulatory support and government initiatives
    • 3.7.2 Industry pitfalls and challenges
      • 3.7.2.1 High costs of development and maintenance
      • 3.7.2.2 Regulatory and standardization challenges
  • 3.8 Growth potential analysis
  • 3.9 Porter's analysis
    • 3.9.1 Supplier power
    • 3.9.2 Buyer power
    • 3.9.3 Threat of new entrants
    • 3.9.4 Threat of substitutes
    • 3.9.5 Industry rivalry
  • 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Company market share analysis
  • 4.2 Competitive positioning matrix
  • 4.3 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Solution, 2021 - 2032 (USD Million)

  • 5.1 Key trends
  • 5.2 Software
    • 5.2.1 HD map creation
    • 5.2.2 HD map updates
    • 5.2.3 HD map visualization
  • 5.3 Services
    • 5.3.1 Data collection and processing
    • 5.3.2 Integration services

Chapter 6 Market Estimates and Forecast, By Technology, 2021 - 2032 (USD Million)

  • 6.1 Key trends
  • 6.2 LiDAR-based mapping
  • 6.3 Camera-based mapping
  • 6.4 Radar-based mapping
  • 6.5 Combination of Sensors

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 (USD Million)

  • 7.1 Key trends
  • 7.2 Navigation
  • 7.3 ADAS (advanced driver assistance systems)
  • 7.4 Autonomous driving
  • 7.5 Fleet management
  • 7.6 Traffic management
  • 7.7 Others

Chapter 8 Market Estimates and Forecast, By Vehicle Type, 2021 - 2032 (USD Million)

  • 8.1 Key trends
  • 8.2 Passenger vehicles
  • 8.3 Commercial vehicles
  • 8.4 Robotic vehicles

Chapter 9 Market Estimates and Forecast, By End-User, 2021 - 2032 (USD Million)

  • 9.1 Key trends
  • 9.2 Automotive manufacturers
  • 9.3 Technology companies
  • 9.4 Government and public authorities
  • 9.5 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 U.S.
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 UK
    • 10.3.2 Germany
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 South Korea
    • 10.4.5 ANZ
    • 10.4.6 Rest of Asia Pacific
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Rest of Latin America
  • 10.6 MEA
    • 10.6.1 UAE
    • 10.6.2 Saudi Arabia
    • 10.6.3 South Africa
    • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 Apple Inc (Apple Maps)
  • 11.2 Aptiv PLC
  • 11.3 Baidu Inc(Apollo)
  • 11.4 Carmera Inc
  • 11.5 Civil Maps
  • 11.6 DeepMap Inc
  • 11.7 Dynamic Map Platform Co., Ltd. (DMP)
  • 11.8 Google LLC (Waymo)
  • 11.9 HERE Technologies
  • 11.10 Mapbox
  • 11.11 Mitsubishi Electric Corporation
  • 11.12 NavInfo Europe B.V.
  • 11.13 Nvidia Corporation (NVIDIA DRIVE)
  • 11.14 TomTom N.V.
  • 11.15 Valeo