汽车智慧座舱平台市场机会、成长动力、产业趋势分析及2024-2032年预测

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个工作天内

价格

简介目录

2023年全球汽车智慧座舱平台市场估值为81亿美元，预计2024年至2032年复合年增长率为12%。，使更快、更可靠的通讯。截至2023年底，全球已经建立了许多5G网络，人口覆盖率预计很快就会大幅增加。 5G 技术可提高频宽并减少延迟，这对于实现高清地图和无线更新等复杂的即时服务至关重要。随着5G基础设施的不断扩展，新的驾驶舱功能不断涌现，包括先进的远端诊断、扩增实境导航和高清视讯串流，这推动了对下一代驾驶舱平台的需求。

市场根据其组成部分分为硬体、软体和服务。 2023 年，硬体领域占据主导地位，占据超过 55% 的市场份额，预计到 2032 年将超过 120 亿美元。的复杂性。这些处理器采用多核心架构和人工智慧加速器，支援即时 3D 图形、多个高解析度显示器和复杂的语音辨识功能。根据平台类型，在软体定义车辆日益普及的推动下，高级整合细分市场到 2023 年将占据约 50% 的市场份额。

智慧驾驶舱平台处于这一转变的最前沿，其设计重点是增强车辆整个生命週期的灵活性和可升级性的软体。此细分市场的关键要素包括以服务为导向的架构（SOA）、微服务和容器化，它们促进了模组化和可扩展的软体开发。预计到2032 年，美国汽车智慧座舱平台市场将超过30 亿美元。转变。这些创新系统可以适应驾驶者的个人喜好，自动调整气候控制、座椅安排和娱乐选项等功能，同时利用脸部或生物辨识为不同驾驶者客製化驾驶舱环境

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	81 亿美元
预测值	215 亿美元
复合年增长率	12%

产业生态系统分析
供应商格局
- 软体和中介软体供应商
- 汽车整车厂
- 一级供应商
- 技术整合商
- 最终用户
利润率分析
技术差异化因素
- 多模态交互
- 预测性援助
- 多显示器设定
- 自主模式转换
- 其他的
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 5G网路的部署不断增加
  - 消费者对互联体验的需求不断增长
  - 越来越重视个人化和增强的使用者体验
  - 电动车的普及
- 产业陷阱与挑战
  - 硬体限制
  - 软体更新挑战
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：按车辆划分，2021 - 2032 年

主要趋势
搭乘用车
商用车

第 6 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
硬体
- 显示系统
- 感应器
- ECU
- 其他的
软体
服务

第 7 章：市场估计与预测：按平台划分，2021 - 2032 年

主要趋势
基于SoC
高阶集成
个人化

第 8 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
资讯娱乐系统
导航
驾驶员辅助
连接与通讯
气候控制
其他的

第 9 章：市场估计与预测：按地区，2021 - 2032

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

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

简介目录

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