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市场调查报告书
商品编码
1544596

自动驾驶汽车市场高画质地图、机会、成长动力、产业趋势分析与预测,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个工作天内

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简介目录

在重大技术进步和对自动驾驶解决方案不断增长的需求的推动下,2024年至2032年全球自动驾驶汽车高清地图市场将以超过30%的复合年增长率成长。高清 (HD) 地图对于成功部署自动驾驶汽车至关重要,它可以准确、详细地表示道路环境,包括车道边界、交通号誌和 3D 几何形状。

随着自动驾驶汽车市场的不断扩大,对精确、即时地图资料的需求变得至关重要。例如,2023年12月,位置资料和技术平台HERE Technologies宣布其HERE高清即时地图现已应用于宝马新7系,并具有BMW Personal Pilot Level 3高度自动驾驶功能。

汽车製造商和技术公司对研发的投资不断增加,加上旨在提高测绘精度的合作伙伴关係,正在推动市场向前发展。随着政府和私人实体越来越认识到高清地图在支援自动驾驶汽车部署方面的价值,智慧城市措施的兴起以及对更安全、更有效率的交通系统的推动也促进了市场的成长。

自动驾驶汽车产业整体高清地图根据解决方案、技术、应用、车辆类型、最终用途和区域进行分类。

包括地图创建、维护和更新在内的服务领域预计将推动自动驾驶汽车高清地图市场的大幅成长。道路环境的动态特性需要不断更新高清地图以确保准确性和可靠性。专门从事高清地图创建的服务提供者利用先进的资料收集技术(例如雷射雷达和基于摄影机的系统)来产生支援自动驾驶的高保真地图。道路网络的日益复杂性和城市的快速发展正在推动对强大且可扩展的地图服务的需求,使该细分市场实现显着增长。

随着汽车製造商加大对自动驾驶技术的投资,他们将在自动驾驶汽车高清地图市场中占据重要份额。这些製造商依靠高清地图来实现先进驾驶辅助系统(ADAS) 和全自动驾驶功能。高清地图提供必要的上下文信息,补充来自摄影机、雷达和光达的感测器资料,使自动驾驶车辆能够精确地在复杂的环境中导航。在预测期内,推动自动驾驶汽车的开发和商业化将推动这一最终用户领域的巨大需求。

欧洲的自动驾驶汽车高清地图市场预计将在 2024 年至 2032 年间实现显着增长。此外,该地区领先的汽车製造商和技术公司的存在促进了高清地图解决方案的创新。欧盟承诺透过采用自动驾驶汽车来减少道路事故和排放,进一步支持了该地区高清地图市场的成长。

目录

第 1 章:范围与方法

  • 市场范围和定义
  • 基本估计和计算
  • 预测参数
  • 数据来源
    • 基本的
    • 中学
      • 付费来源
      • 公共来源

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商矩阵
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 自动驾驶汽车技术的进步
      • 汽车製造商和科技公司增加投资
      • 测绘和资料收集的技术创新
      • 合作与策略伙伴关係
      • 监管支持和政府倡议
    • 产业陷阱与挑战
      • 开发和维护成本高
      • 监管和标准化挑战
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按解决方案,2021 - 2032 年

  • 主要趋势
  • 软体
    • 高清地图创建
    • 高清地图更新
    • 高清地图视觉化
  • 服务
    • 资料收集和处理
    • 整合服务

第 6 章:市场估计与预测:按技术分类,2021 - 2032 年

  • 主要趋势
  • 基于光达的测绘
  • 以相机为基础的测绘
  • 基于雷达的测绘
  • 感测器组合

第 7 章:市场估计与预测:按应用分类,2021 - 2032

  • 主要趋势
  • 导航
  • ADAS(先进驾驶辅助系统)
  • 自动驾驶
  • 车队管理
  • 交通管理
  • 其他的

第 8 章:市场估计与预测:按车型划分,2021 - 2032 年

  • 主要趋势
  • 搭乘用车
  • 商用车
  • 机器人车辆

第 9 章:市场估计与预测:按最终用户划分,2021 - 2032 年

  • 主要趋势
  • 汽车製造商
  • 科技公司
  • 政府和公共当局
  • 其他的

第 10 章:市场估计与预测:按地区划分,2021 - 2032 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非
    • MEA 的其余部分

第 11 章:公司简介

  • 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
简介目录
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