汽車智慧座艙平台市場機會、成長動力、產業趨勢分析及2024-2032年預測

Automotive Intelligent Cockpit Platform Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年10月07日 | 出版商:

Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2023年全球汽車智慧座艙平台市場估值為81億美元，預計2024年至2032年複合年成長率為12%。，使更快、更可靠的通訊。截至2023年底，全球已經建立了許多5G網路，人口覆蓋率預計很快就會大幅增加。 5G 技術可提高頻寬並減少延遲，這對於實現高清地圖和無線更新等複雜的即時服務至關重要。隨著5G基礎設施的不斷擴展，新的駕駛艙功能不斷湧現，包括先進的遠端診斷、擴增實境導航和高清視訊串流，這推動了對下一代駕駛艙平台的需求。

市場根據其組成部分分為硬體、軟體和服務。 2023 年，硬體領域佔據主導地位，佔據超過 55% 的市場佔有率，預計到 2032 年將超過 120 億美元。的複雜性。這些處理器採用多核心架構和人工智慧加速器，支援即時 3D 圖形、多個高解析度顯示器和複雜的語音辨識功能。根據平台類型，在軟體定義車輛日益普及的推動下，高級整合細分市場到 2023 年將佔據約 50% 的市場佔有率。

智慧駕駛艙平台處於這一轉變的最前沿，其設計重點是增強車輛整個生命週期的靈活性和可升級性的軟體。此細分市場的關鍵要素包括以服務為導向的架構（SOA）、微服務和容器化，它們促進了模組化和可擴展的軟體開發。預計到2032 年，美國汽車智慧座艙平台市場將超過30 億美元。轉變。這些創新系統可以適應駕駛者的個人喜好，自動調整氣候控制、座椅安排和娛樂選項等功能，同時利用臉部或生物辨識為不同駕駛者客製化駕駛艙環境

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	81 億美元
預測值	215 億美元
複合年成長率	12%

產業生態系統分析
供應商格局
- 軟體和中介軟體供應商
- 汽車整車廠
- 一級供應商
- 技術整合商
- 最終用戶
利潤率分析
技術差異化因素
- 多模態交互
- 預測性援助
- 多顯示器設定
- 自主模式轉換
- 其他
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 5G網路的部署不斷增加
  - 消費者對互聯體驗的需求不斷成長
  - 越來越重視個人化和增強的使用者體驗
  - 電動車的普及
- 產業陷阱與挑戰
  - 硬體限制
  - 軟體更新挑戰
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：按車輛分類，2021 - 2032 年

主要趨勢
搭乘用車
商用車

第 6 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
硬體
- 顯示系統
- 感應器
- ECU
- 其他
軟體
服務

第 7 章：市場估計與預測：按平台分類，2021 - 2032 年

主要趨勢
基於SoC
高階整合
個人化

第 8 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
資訊娛樂系統
導航
駕駛員輔助
連接與通訊
氣候控制
其他

第 9 章：市場估計與預測：按地區，2021 - 2032

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

Advanced Micro Devices, Inc.
Aptiv plc
Continental AG
Denso Corporation
DXC Technology Company
ECARX Holdings, Inc.
Elektrobit
Forvia Hella
Herman International
Infineon Technologies AG
Intel Corporation
LG Electronics
MediaTek Inc
MobileDrive
Neusoft Corporation.
NVIDIA Corporation
NXP Semiconductors
Panasonic Automotive Systems Co., Ltd.
Qualcomm Technologies, Inc.
Robert Bosch GmbH
Visteon Corporation

簡介目錄

Product Code: 11754

The Global Automotive Intelligent Cockpit Platform Market was valued at USD 8.1 billion in 2023 and is anticipated to grow at 12% CAGR from 2024 to 2032. A key driver of this growth is the widespread implementation of 5G networks, which enhance connectivity for vehicles, enabling faster and more reliable communication. As of late 2023, many 5G networks have been established globally, and significant increases in population coverage are expected soon. 5G technology delivers improved bandwidth and reduced latency, both critical for enabling sophisticated real-time services such as high-definition mapping and over-the-air updates. With the ongoing expansion of 5G infrastructure, new cockpit functionalities are emerging, including advanced remote diagnostics, augmented reality navigation, and high-definition video streaming, which drive demand for next-generation cockpit platforms.

The market is categorized into hardware, software, and services based on its components. In 2023, the hardware segment was the dominant player, capturing over 55% of the market share, and it is expected to exceed USD 12 billion by 2032. The automotive industry is increasingly embracing advanced System-on-Chip (SoC) solutions to manage the complexity of modern cockpit systems. These processors utilize multi-core architectures and AI accelerators, enabling the support of real-time 3D graphics, multiple high-resolution displays, and sophisticated voice recognition functionalities. Based on platform type, the high-level integration segment accounted for approximately 50% of the market share in 2023, driven by the increasing adoption of software-defined vehicles.

Intelligent cockpit platforms are at the forefront of this transition, designed with a focus on software that enhances flexibility and upgradability throughout the vehicle's lifespan. Key elements of this segment involve service-oriented architectures (SOA), microservices, and containerization, which promote modular and scalable software development. The U.S. market for automotive intelligent cockpit platforms is anticipated to surpass USD 3 billion by 2032. A significant trend is the shift toward AI-driven personalization in intelligent cockpits, as automakers increasingly deploy machine learning algorithms to enhance the driving experience. These innovative systems can adapt to individual driver preferences, automatically adjusting features such as climate control, seating arrangements, and entertainment options while utilizing facial or biometric recognition to tailor the cockpit environment for various drivers

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$8.1 Billion
Forecast Value	$21.5 Billion
CAGR	12%

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 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Software and middleware providers
- 3.2.2 Automotive OEMs
- 3.2.3 Tier-1 suppliers
- 3.2.4 Technology integrators
- 3.2.5 End users
3.3 Profit margin analysis
3.4 Technology differentiators
- 3.4.1 Multi-modal interaction
- 3.4.2 Predictive assistance
- 3.4.3 Multi-display setups
- 3.4.4 Autonomous mode transitions
- 3.4.5 Others
3.5 Key news & initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Increasing rollout of 5G networks
  - 3.7.1.2 Rising consumer demand for connected experiences
  - 3.7.1.3 Increasing emphasis on personalization and enhanced user experience
  - 3.7.1.4 Proliferation of electric vehicles
- 3.7.2 Industry pitfalls & challenges
  - 3.7.2.1 Hardware limitations
  - 3.7.2.2 Software update challenges
3.8 Growth potential analysis
3.9 Porter's analysis
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

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 Vehicle, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Passenger vehicles
5.3 Commercial vehicles

Chapter 6 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Hardware
- 6.2.1 Display systems
- 6.2.2 Sensors
- 6.2.3 ECUs
- 6.2.4 Others
6.3 Software
6.4 services

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

7.1 Key trends
7.2 SoC-based
7.3 High-level integration
7.4 Personalized

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

8.1 Key trends
8.2 Infotainment
8.3 Navigation
8.4 Driver assistance
8.5 Connectivity & communication
8.6 Climate control
8.7 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($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