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市場調查報告書
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1741005

汽車電子電氣 (E-E) 架構市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測

Automotive E-E (Electronic/Electrical) Architecture Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 170 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年,全球汽車電子電氣架構市場規模達794億美元,預計年複合成長率為6.6%,到2034年將達到1,486億美元,這主要得益於電動車(EV)的普及、車輛互聯互通的提升以及自動駕駛技術需求的不斷成長。汽車電子電氣架構支撐著現代車輛的關鍵功能,涵蓋從動力系統和資訊娛樂系統到高級駕駛輔助系統(ADAS)和互聯互通解決方案等方方面面。向區域化和集中式架構的轉變,透過降低佈線複雜性、提高資料處理速度以及實現人工智慧、機器學習和V2X通訊等先進技術的無縫整合,從而提升了車輛性能。

汽車電子電氣 (E-E) 架構市場 - IMG1

集中式運算平台對於支援連網和自動駕駛汽車中感測器、攝影機和通訊網路產生的海量資料至關重要。此外,永續出行的推動以及歐七和國六等更嚴格的監管標準,正促使汽車製造商重新設計其能源效率系統,以提高能源效率、網路安全性和合規性。此外,永續出行的推動以及歐七和國六等更嚴格的監管標準,正促使汽車製造商重新設計其能源效率系統,以提高能源效率、網路安全性和合規性。這些不斷變化的法規不僅要求降低車輛排放,還對車輛安全性、互聯互通性和資料安全提出了更高的標準。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 794億美元
預測值 1486億美元
複合年成長率 6.6%

汽車電子電氣架構市場主要按類型細分,其中分散式電子電氣架構在2024年將佔據領先地位,市場規模達367億美元。分散式架構的特點是多個獨立的電子控制單元(ECU)控制各種車輛功能,因其靈活性、易於整合和可擴展性而被廣泛採用。這種設計使汽車製造商能夠獨立昇級特定的車輛系統,而無需徹底改造整個網路。然而,隨著汽車日益軟體定義化和資料密集化,汽車產業正逐漸轉向域和分區架構,這些架構可提供集中控制、改進的資料管理、降低系統複雜性並減少佈線成本。

按車型分類,乘用車在2024年佔據了最大的市場佔有率,達到436億美元。隨著個人汽車配備高級駕駛輔助系統 (ADAS)、下一代資訊娛樂系統、車聯網服務和電動動力系統等高階功能的需求不斷成長,這一領域正在推動先進電子電氣架構的採用。先進的架構能夠實現各種車輛系統之間的無縫通訊,增強駕駛輔助功能,改善車輛診斷,實現自動駕駛功能,並提升整體駕駛體驗。

2024年,亞太地區汽車電氣與電子架構市場規模達到279.5億美元,這得益於電動車(EV)的快速普及、智慧城市計畫以及中國、日本和韓國強大的汽車製造基地。中國憑藉其積極的電動車政策、廣泛的智慧基礎設施建設以及不斷成長的本土電動車品牌,繼續引領該地區市場。日本和韓國大力投資自動駕駛汽車技術和支援5G的V2X通訊系統,進一步推動了對先進電氣與電子架構的需求。政府的激勵措施、電動車普及補貼以及對下一代移動出行解決方案的大量研發投入,正在加速該地區現代化、可擴展的電氣與電子架構系統的整合。

羅伯特·博世有限公司、大陸集團、安波福、採埃孚股份公司和電裝株式會社等主要參與者正在積極投資研發,建立戰略合作夥伴關係,並開發模組化、軟體定義的電子電氣平台,以保持競爭力。這些公司專注於增強網路安全、可擴展性和能源管理,這將定義全球下一代汽車電氣和電子架構。

目錄

第1章:方法論與範圍

第2章:執行摘要

第3章:行業洞察

  • 產業生態系統分析
  • 供應商格局
    • EE 架構提供商
    • 組件提供者
    • 經銷商
    • 最終用途
  • 川普政府關稅的影響
    • 對貿易的影響
      • 貿易量中斷
      • 報復措施
    • 對產業的影響
      • 供應方影響(原料)
        • 主要材料價格波動
        • 供應鏈重組
        • 生產成本影響
      • 需求面影響(售價)
        • 價格傳導至終端市場
        • 市佔率動態
        • 消費者反應模式
    • 受影響的主要公司
    • 策略產業反應
      • 供應鏈重組
      • 定價和產品策略
      • 政策參與
    • 展望與未來考慮
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 定價分析
  • 重要新聞和舉措
  • 監管格局
  • 衝擊力
    • 成長動力
      • 電動車(EV)需求不斷成長
      • 更加關注車輛安全和監管標準
      • 高級駕駛輔助系統 (ADAS) 的採用率不斷上升
      • 對連網汽車和車對萬物 (V2X) 通訊的需求
    • 產業陷阱與挑戰
      • 開發先進 E/E 架構的複雜性與成本較高
      • 與車輛連接性增強相關的網路安全風險
  • 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:按類型,2021 - 2034 年

  • 主要趨勢
  • 分散式E/E架構
  • 領域 E/E 架構
  • 區域架構

第6章:市場估計與預測:依車型,2021 - 2034 年

  • 主要趨勢
  • 搭乘用車
    • 掀背車
    • 轎車
    • 越野車
  • 商用車
    • 輕型商用車(LCV)
    • 中型商用車(MCV)
    • 重型商用車(HCV)

第7章:市場估計與預測:按推進方式,2021 - 2034 年

  • 主要趨勢
  • 電動車
    • 純電動車(BEV)
    • 插電式混合動力電動車(PHEV)
    • 混合動力電動車(HEV)

第8章:市場估計與預測:按組件,2021 - 2034 年

  • 主要趨勢
  • 電子控制單元(ECU)
  • 配電箱
  • 執行器和感測器
  • 通訊介面
  • 線束
  • 其他

第9章:市場估計與預測:按地區,2021 - 2034 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
    • 俄羅斯
    • 北歐人
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 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

  • Aptiv
  • Continental
  • Denso
  • Faurecia
  • Harman International
  • Hitachi Astemo
  • Hyundai Mobis
  • Infineon Technologies
  • Lear
  • Magna International
  • Marelli
  • NXP Semiconductors
  • Panasonic
  • Renesas Electronics
  • Robert Bosch
  • STMicroelectronics
  • Texas Instruments
  • Valeo
  • Visteon
  • ZF Friedrichshafen
簡介目錄
Product Code: 12196

The Global Automotive E-E Architecture Market was valued at USD 79.4 billion in 2024 and is estimated to grow at a CAGR of 6.6%, reaching USD 148.6 billion by 2034, driven by the rising adoption of electric vehicles (EVs), increasing vehicle connectivity, and the growing demand for autonomous driving technologies. Automotive E-E (Electrical and Electronics) architecture underpins the critical functions of modern vehicles, managing everything from powertrains and infotainment to advanced driver-assistance systems (ADAS) and connectivity solutions. The shift towards zonal and centralized architectures enhances vehicle performance by reducing wiring complexity, improving data processing speeds, and enabling seamless integration of sophisticated technologies such as AI, machine learning, and V2X communication.

Automotive E-E (Electronic/Electrical) Architecture Market - IMG1

Centralized computing platforms are becoming essential for supporting the massive data generated by sensors, cameras, and communication networks in connected and autonomous vehicles. Moreover, the push for sustainable mobility and stricter regulatory standards, such as Euro 7 and China VI, is prompting automakers to redesign their E-E systems for greater energy efficiency, cybersecurity, and compliance. Moreover, the push for sustainable mobility and stricter regulatory standards, such as Euro 7 in Europe and China VI in Asia, is prompting automakers to redesign their E-E systems for greater energy efficiency, cybersecurity, and regulatory compliance. These evolving regulations demand not only lower vehicle emissions but also higher standards for vehicle safety, connectivity, and data security.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$79.4 Billion
Forecast Value$148.6 Billion
CAGR6.6%

The Automotive E-E Architecture Market is primarily segmented by type, with distributed E/E architecture leading in 2024, generating USD 36.7 billion. Distributed architectures, characterized by multiple independent electronic control units (ECUs) controlling various vehicle functions, have been widely adopted due to their flexibility, ease of integration, and scalability. This design allows automakers to independently upgrade specific vehicle systems without overhauling the entire network. However, as vehicles become increasingly software-defined and data-intensive, the industry is gradually transitioning toward domain and zonal architectures, which offer centralized control, improved data management, lower system complexity, and reduced wiring costs.

Based on vehicle type, passenger vehicles captured the largest market share in 2024, accounting for USD 43.6 billion. The rising demand for personal vehicles equipped with premium features such as Advanced Driver Assistance Systems (ADAS), next-generation infotainment systems, connectivity services, and electric powertrains is fueling the adoption of sophisticated E-E architectures in this segment. Advanced architectures allow seamless communication between various vehicle systems, enhancing driver assistance capabilities, improving vehicle diagnostics, enabling autonomous features, and elevating the overall driving experience.

Asia Pacific Automotive E-E Architecture Market reached USD 27.95 billion in 2024, driven by rapid electric vehicle (EV) adoption, smart city initiatives, and strong automotive manufacturing bases in China, Japan, and South Korea. China continues to lead the regional market due to its aggressive EV policies, extensive smart infrastructure development, and growing domestic EV brands. Japan and South Korea invest heavily in autonomous vehicle technologies and 5G-enabled V2X communication systems, further boosting the need for advanced E-E architectures. Government incentives, subsidies for EV adoption, and substantial RandD investments in next-generation mobility solutions are accelerating the integration of modern, scalable E-E systems across the region.

Major players such as Robert Bosch GmbH, Continental AG, Aptiv PLC, ZF Friedrichshafen AG, and Denso Corporation are actively investing in RandD, forming strategic partnerships, and developing modular, software-defined E-E platforms to stay competitive. The focus on enhancing cybersecurity, scalability, and energy management is set to define the next generation of automotive electrical and electronic architectures worldwide.

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 & calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimation
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market scope & definition

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 E-E architecture providers
    • 3.2.2 Component providers
    • 3.2.3 Distributors
    • 3.2.4 End Use
  • 3.3 Impact of trump administration tariffs
    • 3.3.1 Impact on trade
      • 3.3.1.1 Trade volume disruptions
      • 3.3.1.2 Retaliatory measures
    • 3.3.2 Impact on industry
      • 3.3.2.1 Supply-side impact (raw materials)
        • 3.3.2.1.1 Price volatility in key materials
        • 3.3.2.1.2 Supply chain restructuring
        • 3.3.2.1.3 Production cost implications
      • 3.3.2.2 Demand-side impact (selling price)
        • 3.3.2.2.1 Price transmission to end markets
        • 3.3.2.2.2 Market share dynamics
        • 3.3.2.2.3 Consumer response patterns
    • 3.3.3 Key companies impacted
    • 3.3.4 Strategic industry responses
      • 3.3.4.1 Supply chain reconfiguration
      • 3.3.4.2 Pricing and product strategies
      • 3.3.4.3 Policy engagement
    • 3.3.5 Outlook & future considerations
  • 3.4 Profit margin analysis
  • 3.5 Technology & innovation landscape
  • 3.6 Patent analysis
  • 3.7 Pricing analysis
  • 3.8 Key news & initiatives
  • 3.9 Regulatory landscape
  • 3.10 Impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Growing demand for electric vehicles (EVs)
      • 3.10.1.2 Increasing focus on vehicle safety and regulatory standards
      • 3.10.1.3 Rising adoption of Advanced Driver Assistance Systems (ADAS)
      • 3.10.1.4 Demand for connected cars and vehicle-to-everything (V2X) communication
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 High complexity and cost of developing advanced E/E architectures
      • 3.10.2.2 Cybersecurity risks associated with increasing vehicle connectivity
  • 3.11 Growth potential analysis
  • 3.12 Porter's analysis
  • 3.13 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 Type, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Distributed E/E architecture
  • 5.3 Domain E/E architecture
  • 5.4 Zonal architecture

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

  • 6.1 Key trends
  • 6.2 Passenger vehicles
    • 6.2.1 Hatchback
    • 6.2.2 Sedan
    • 6.2.3 SUV
  • 6.3 Commercial vehicles
    • 6.3.1 Light Commercial Vehicles (LCV)
    • 6.3.2 Medium Commercial Vehicles (MCV)
    • 6.3.3 Heavy Commercial Vehicles (HCV)

Chapter 7 Market Estimates & Forecast, By Propulsion, 2021 - 2034 ($Bn)

  • 7.1 Key trends
  • 7.2 ICE
  • 7.3 Electric vehicles
    • 7.3.1 Battery Electric Vehicles (BEV)
    • 7.3.2 Plug-in Hybrid Electric Vehicles (PHEV)
    • 7.3.3 Hybrid Electric Vehicles (HEV)

Chapter 8 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

  • 8.1 Key trends
  • 8.2 Electronic Control Units (ECUs)
  • 8.3 Power distribution boxes
  • 8.4 Actuators and sensors
  • 8.5 Communication interfaces
  • 8.6 Wiring harnesses
  • 8.7 Others

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 Italy
    • 9.3.5 Spain
    • 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 Australia
    • 9.4.5 South Korea
    • 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 Aptiv
  • 10.2 Continental
  • 10.3 Denso
  • 10.4 Faurecia
  • 10.5 Harman International
  • 10.6 Hitachi Astemo
  • 10.7 Hyundai Mobis
  • 10.8 Infineon Technologies
  • 10.9 Lear
  • 10.10 Magna International
  • 10.11 Marelli
  • 10.12 NXP Semiconductors
  • 10.13 Panasonic
  • 10.14 Renesas Electronics
  • 10.15 Robert Bosch
  • 10.16 STMicroelectronics
  • 10.17 Texas Instruments
  • 10.18 Valeo
  • 10.19 Visteon
  • 10.20 ZF Friedrichshafen