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市場調查報告書
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1628167

自動駕駛汽車開發平台市場機會、成長動力、產業趨勢分析與預測 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個工作天內

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簡介目錄

2024 年，全球自動駕駛汽車開發平台市場估值為362 億美元，預計2025 年至2034 年將以20.7% 的複合年成長率強勁成長。政府的推動所推動的。這些平台在開發和測試防撞、車道維持輔助和自適應巡航控制等關鍵技術方面發揮著至關重要的作用。

隨著消費者越來越尋求便利高效的交通選擇，自動駕駛汽車的投資激增。共享行動服務的擴展和移動即服務（MaaS）平台的興起也導致了對可靠自主系統的需求不斷成長。人工智慧 (AI)、機器學習和感測器技術的不斷進步進一步增強了這些平台的功能和可行性，推動了它們在汽車領域的採用。

連接和基礎設施技術的快速發展是推動市場的另一個主要因素。隨著 5G 網路的廣泛推廣，自動駕駛汽車現在可以與周圍環境進行即時通訊，確保更準確的導航並增強安全性。智慧城市和車對萬物 (V2X) 通訊系統的發展提供了自動駕駛車輛與其環境之間的無縫整合，從而促進了性能的提高。此外，對測試設施的投資和政府支持的基礎設施計劃繼續推動市場成長。

市場範圍
開始年份 2024年
預測年份 2025-2034
起始值 362 億美元
預測值 2,544 億美元
複合年成長率 20.7%

市場分為乘用車和商用車。到2024年，乘用車細分市場將佔據超過60%的市場佔有率，預計到2034年將超過1500億美元。不斷成長。城市化和日益嚴重的交通堵塞推動了對主要服務於乘客的自動駕駛叫車和汽車共享服務的需求。隨著監管支援的增加，乘用車領域成為創新的焦點，人工智慧和感測器技術的進步進一步增強了其吸引力。

就組件而言，市場分為軟體和服務。 2024年，軟體領域將主導市場，佔據70%以上的市場。這是因為軟體在實現自主功能（包括導航、決策和機器學習）方面發揮著至關重要的作用。隨著人工智慧和資料處理能力的提高，對先進軟體系統的需求不斷上升。此外，軟體解決方案的可擴展性使其能夠跨各種車輛類型進行整合，從而鞏固了其市場主導地位。

在美國，自動駕駛汽車開發平台市場在 2024 年佔全球收入的 75%，預計到 2034 年將超過 600 億美元。及其在人工智慧、機器學習和資料分析方面的重大投資。此外，有利的法規和成熟的汽車工業為自動駕駛交通的創新提供了堅實的基礎。早期採用自主技術和用於研發的創投資金進一步推動了美國市場的擴張

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 自動駕駛汽車開發平台軟體開發商
    • 服務提供者
    • 最終用戶
  • 利潤率分析
  • 成本明細分析
  • 技術與創新格局
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 對先進駕駛輔助系統和自動駕駛汽車技術的需求不斷成長
      • 人工智慧、機器學習和感測器技術的進步
      • 對行動即服務和自動駕駛共享解決方案的投資不斷增加
      • 5G網路和互聯基礎設施的發展
    • 產業陷阱與挑戰
      • 自動駕駛汽車平台的開發和測試成本高昂
      • 各地區的監管不確定性與缺乏標準化
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章：競爭格局

  • 介紹
  • 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：按組成部分，2021 - 2034 年

  • 主要趨勢
  • 軟體
  • 服務

第 6 章：市場估計與預測：按車輛分類，2021 - 2034 年

  • 主要趨勢
  • 搭乘用車
  • 商用車

第 7 章：市場估計與預測：按功能分類，2021 - 2032 年

  • 主要趨勢
  • 感測器模擬
  • 資料收集與分析
  • 模擬與測試

第 8 章：市場估計與預測：依最終用途，2021 - 2032 年

  • 主要趨勢
  • 汽車製造商
  • 科技公司
  • 研究機構和大學

第 9 章：市場估計與預測：按地區分類，2021 - 2034 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 俄羅斯
    • 北歐人
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 東南亞
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯

第 10 章：公司簡介

  • 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)
簡介目錄
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)