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市场调查报告书
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1628167

自动驾驶汽车开发平台市场机会、成长动力、产业趋势分析与预测 2025 - 2034

Autonomous Vehicle Development Platform Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年，全球自动驾驶汽车开发平台市场估值为362 亿美元，预计2025 年至2034 年将以20.7% 的复合年增长率强劲增长。政府的推动所推动的。这些平台在开发和测试防撞、车道维持辅助和自适应巡航控制等关键技术方面发挥着至关重要的作用。

随着消费者越来越寻求便利高效的交通选择，自动驾驶汽车的投资激增。共享行动服务的扩展和移动即服务（MaaS）平台的兴起也导致了对可靠自主系统的需求不断增长。人工智慧 (AI)、机器学习和感测器技术的不断进步进一步增强了这些平台的功能和可行性，推动了它们在汽车领域的采用。

连接和基础设施技术的快速发展是推动市场的另一个主要因素。随着 5G 网路的广泛推广，自动驾驶汽车现在可以与周围环境进行即时通信，确保更准确的导航并增强安全性。智慧城市和车对万物 (V2X) 通讯系统的发展提供了自动驾驶车辆与其环境之间的无缝集成，从而促进了性能的提高。此外，对测试设施的投资和政府支持的基础设施计划继续推动市场成长。

市场范围
开始年份 2024年
预测年份 2025-2034
起始值 362 亿美元
预测值 2,544 亿美元
复合年增长率 20.7%

市场分为乘用车和商用车。到2024年，乘用车细分市场将占据超过60%的市场份额，预计到2034年将超过1500亿美元。不断增长。城市化和日益严重的交通拥堵推动了对主要服务于乘客的自动驾驶叫车和汽车共享服务的需求。随着监管支援的增加，乘用车领域成为创新的焦点，人工智慧和感测器技术的进步进一步增强了其吸引力。

就组件而言，市场分为软体和服务。 2024年，软体领域将主导市场，占据70%以上的市场。这是因为软体在实现自主功能（包括导航、决策和机器学习）方面发挥着至关重要的作用。随着人工智慧和资料处理能力的提高，对先进软体系统的需求不断上升。此外，软体解决方案的可扩展性使其能够跨各种车辆类型进行集成，从而巩固了其市场主导地位。

在美国，自动驾驶汽车开发平台市场在 2024 年占全球收入的 75%，预计到 2034 年将超过 600 亿美元。及其在人工智慧、机器学习和资料分析方面的重大投资。此外，有利的法规和成熟的汽车工业为自动驾驶交通的创新提供了坚实的基础。早期采用自主技术和用于研发的创投资金进一步推动了美国市场的扩张

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 自动驾驶汽车开发平台软体开发商
    • 服务提供者
    • 最终用户
  • 利润率分析
  • 成本明细分析
  • 技术与创新格局
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 对先进驾驶辅助系统和自动驾驶汽车技术的需求不断增长
      • 人工智慧、机器学习和感测器技术的进步
      • 对行动即服务和自动驾驶共享解决方案的投资不断增加
      • 5G网路和互联基础设施的发展
    • 产业陷阱与挑战
      • 自动驾驶汽车平台的开发和测试成本高昂
      • 各地区的监管不确定性与缺乏标准化
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章：竞争格局

  • 介绍
  • 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：按组成部分，2021 - 2034 年

  • 主要趋势
  • 软体
  • 服务

第 6 章：市场估计与预测：按车辆划分，2021 - 2034 年

  • 主要趋势
  • 搭乘用车
  • 商用车

第 7 章：市场估计与预测：按功能划分，2021 - 2032 年

  • 主要趋势
  • 感测器模拟
  • 资料收集与分析
  • 模拟与测试

第 8 章：市场估计与预测：依最终用途，2021 - 2032 年

  • 主要趋势
  • 汽车製造商
  • 科技公司
  • 研究机构和大学

第 9 章：市场估计与预测：按地区划分，2021 - 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 俄罗斯
    • 北欧人
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯

第 10 章：公司简介

  • ANSYS Inc.
  • Aptiv
  • Aurora Innovation
  • Baidu Apollo
  • BMW AG
  • Cruise
  • FiveAI Ltd.
  • Ford Motor.
  • General Motors.
  • Green Hills Software
  • Hexagon AB
  • Honda Motor
  • Hyundai Motor
  • Mercedes Benz
  • NVIDIA
  • Nuro
  • Renault SAS
  • Siemens
  • Toyota Motor
  • Zoox (Amazon)
简介目录
Product Code: 5984

The Global Autonomous Vehicle Development Platform Market was valued at USD 36.2 billion in 2024 and is projected to grow at a robust CAGR of 20.7% from 2025 to 2034. This growth is driven by the increasing demand for advanced safety features and the push from governments around the world to improve road safety through regulations. These platforms play a crucial role in developing and testing key technologies such as collision avoidance, lane-keeping assistance, and adaptive cruise control.

As consumers increasingly seek convenient and efficient transportation options, investment in autonomous vehicles has surged. The expansion of shared mobility services and the rise of mobility-as-a-service (MaaS) platforms also contribute to the growing need for reliable autonomous systems. The continuous progress in artificial intelligence (AI), machine learning, and sensor technologies further strengthens the functionality and feasibility of these platforms, driving their adoption in the automotive sector.

The rapid evolution of connectivity and infrastructure technologies is another major factor propelling the market. With the widespread rollout of 5G networks, autonomous vehicles can now communicate in real-time with their surroundings, ensuring more accurate navigation and enhanced safety. The development of smart cities and vehicle-to-everything (V2X) communication systems provides seamless integration between autonomous vehicles and their environment, facilitating improved performance. Additionally, investments in testing facilities and government-supported infrastructure initiatives continue to boost market growth.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$36.2 Billion
Forecast Value$254.4 Billion
CAGR20.7%

The market is divided into passenger and commercial vehicles. The passenger vehicle segment accounted for over 60% of the market share in 2024, and it is expected to surpass USD 150 billion by 2034. This growth is largely attributed to increasing consumer demand for safer, more convenient transportation. Urbanization and growing traffic congestion drive the need for autonomous ride-hailing and car-sharing services, which primarily cater to passengers. As regulatory support increases, the passenger vehicle segment becomes a focal point for innovation, with advancements in AI and sensor technologies further enhancing its appeal.

In terms of components, the market is divided into software and services. The software segment dominated the market in 2024, accounting for over 70% of the market share. This is because software plays a vital role in enabling autonomous functionality, including navigation, decision-making, and machine learning. As AI and data processing capabilities improve, the demand for advanced software systems continues to rise. Furthermore, the scalability of software solutions enables their integration across various vehicle types, reinforcing their market dominance.

In the U.S., the autonomous vehicle development platform market accounted for 75% of the global revenue in 2024 and is expected to exceed USD 60 billion by 2034. This growth can be attributed to the country's strong technological infrastructure, the presence of major tech companies, and its significant investments in AI, machine learning, and data analytics. Additionally, favorable regulations and a well-established automotive industry provide a solid foundation for innovation in autonomous transportation. Early adoption of autonomous technologies and venture capital funding for research and development further fuel market expansion in the U.S.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Autonomous vehicle development platform software developers
    • 3.2.2 Service Providers
    • 3.2.3 End users
  • 3.3 Profit margin analysis
  • 3.4 Cost Breakdown analysis
  • 3.5 Technology & innovation landscape
  • 3.6 Key news & initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increasing demand for advanced driver assistance systems and autonomous vehicle technologies
      • 3.8.1.2 Advancements in AI, machine learning, and sensor technologies
      • 3.8.1.3 Rising investment in mobility-as-a-service and autonomous ride-sharing solutions
      • 3.8.1.4 Development of 5G networks and connected infrastructure
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 High development and testing costs for autonomous vehicle platforms
      • 3.8.2.2 Regulatory uncertainties and lack of standardization across regions
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

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

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Software
  • 5.3 Service

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Bn)

  • 6.1 Key trends
  • 6.2 Passenger car
  • 6.3 Commercial vehicle

Chapter 7 Market Estimates & Forecast, By Functionality, 2021 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 Sensor simulation
  • 7.3 Data collection and analysis
  • 7.4 Simulation and testing

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

  • 8.1 Key trends
  • 8.2 Automotive manufacturers
  • 8.3 Technology companies
  • 8.4 Research institutions and universities

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Spain
    • 9.3.5 Italy
    • 9.3.6 Russia
    • 9.3.7 Nordics
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 South Korea
    • 9.4.5 ANZ
    • 9.4.6 Southeast Asia
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 MEA
    • 9.6.1 UAE
    • 9.6.2 South Africa
    • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

  • 10.1 ANSYS Inc.
  • 10.2 Aptiv
  • 10.3 Aurora Innovation
  • 10.4 Baidu Apollo
  • 10.5 BMW AG
  • 10.6 Cruise
  • 10.7 FiveAI Ltd.
  • 10.8 Ford Motor.
  • 10.9 General Motors.
  • 10.10 Green Hills Software
  • 10.11 Hexagon AB
  • 10.12 Honda Motor
  • 10.13 Hyundai Motor
  • 10.14 Mercedes Benz
  • 10.15 NVIDIA
  • 10.16 Nuro
  • 10.17 Renault SAS
  • 10.18 Siemens
  • 10.19 Toyota Motor
  • 10.20 Zoox (Amazon)