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市场调查报告书

商品编码

1616332

2024 - 2032 年汽车情绪智慧市场机会、成长动力、产业趋势分析与预测

Vehicle Emotional Intelligence Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年09月09日 | 出版商:

Global Market Insights Inc. | 英文 240 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2023 年，全球车辆情感智慧市场估值为10 亿美元，预计2024 年至2032 年复合年增长率为16.5%。了市场扩张。例如，2024 年 1 月，Smart Eye 和 Cerence 在 CES 2024 上公布了合作伙伴关係，推出了情感智慧车载助理。此外，对驾驶员和乘客安全的高度重视正在推动对车辆情绪智慧系统的需求。这些系统透过测量驾驶员的精神状态来提高安全性，从而可能避免事故，从而发挥关键作用。

它们可以侦测疲劳、压力或分心，及时发出警报或采取纠正措施，例如建议休息或修改驾驶参数以提高安全性。在汽车和科技领域主要参与者的创新和对新颖功能的推动下，汽车情感智慧市场也正在见证改变。技术进步和不断变化的消费者期望正在塑造这些新兴趋势。一项显着的进步是将情绪智慧与高级驾驶员辅助系统 (ADAS) 相融合，旨在增强车辆安全和驾驶员支援。

整个产业分为车辆、零件、应用、整合、技术和区域。市场依组件分为硬体和软体。到 2023资料，软体细分市场将占据超过 60% 的份额，预计到 2032 年将超过 25 亿美元。它可以辨别情感的细微差别，得出可行的见解，并确保在必要时迅速做出反应。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	10亿美元
预测值	41 亿美元
复合年增长率	16.5%

该软体利用先进的资料分析和机器学习，能够熟练地理解情绪状态并做出反应。从应用角度来看，车辆情绪智慧市场涵盖驾驶员监控和安全、乘客体验增强、安全和安保、自动驾驶支援以及健康和保健监控。到 2023 年，驾驶员监控和安全系统将占据约 36% 的份额。透过识别疲劳、分心和压力等主要事故原因，他们可以提高整体安全性。舒适性和便利性的先进功能的车辆。车辆情感智慧 (VEI) 技术透过提供个人化的车内设定、即时情感反应修改和增强的区域安全协议来满足这些需求。

产业生态系统分析
供应商格局
- 硬体和感测器提供者
- 软体及人工智慧解决方案提供商
- 系统整合商
- 最终用户
利润率分析
技术与创新格局
成本明细分析
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 更加关注驾驶员和乘客的安全
  - 车辆使用人工智慧和机器学习的进步
  - 车辆技术整合和互联性不断增强
  - 增强的使用者体验和个人化
- 产业陷阱与挑战
  - 隐私和资料安全问题
  - 开发成本高
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
- 卡车
- 巴士
- 货车
自动驾驶汽车

第 6 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
硬体
软体

第 7 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
驾驶员监控和安全
旅客体验提升
安全保障
自动驾驶支援
健康与保健监测

第 8 章：市场估计与预测：依整合划分，2021 - 2032 年

主要趋势
OEM
售后市场

第 9 章：市场估计与预测：依技术分类，2021 - 2032

主要趋势
脸部表情辨识
语音辨识与分析
生理感测器
情绪/行为模式分析

第 10 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
- 义大利
- 西班牙
- 俄罗斯
- 北欧人
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

Affectiva
Antolin
AVATR Technology
BMW AG
Robert Bosch GmbH
Cerence
Eyeris AI
Forvia
Harman International
Kia Corporation
Microsoft Corporation
Netradyne
Nvidia Corporation
Panasonic Holdings Corporation
Smart Eye AB
SRI International
Valeo
Visteon Corporation
Xpeng Motors
Xperi Inc

简介目录

Product Code: 11325

The Global Vehicle Emotional Intelligence Market was valued at USD 1 billion in 2023 and is projected to grow at a CAGR of 16.5% from 2024 to 2032. The market expansion is fueled by rising demands for passenger safety, advanced infotainment systems, and the growing adoption of connected vehicles, all bolstered by the Internet of Things (IoT). For example, in January 2024, Smart Eye and Cerence unveiled their partnership at CES 2024, introducing an emotionally intelligent in-car assistant. Moreover, heightened emphasis on the safety of both drivers and passengers is propelling the demand for vehicle emotional intelligence systems. These systems play a pivotal role in bolstering safety by gauging the driver's mental state, potentially averting accidents.

They can detect fatigue, stress, or distraction, prompting timely alerts or corrective measures, like suggesting a break or modifying driving parameters for enhanced safety. The vehicle emotional intelligence market is also witnessing transformative changes, spurred by innovations and the embrace of novel features by major players in both the automotive and tech arenas. Technological advancements and evolving consumer expectations are shaping these emerging trends. A notable advancement is the fusion of emotional intelligence with Advanced Driver-Assistance Systems (ADAS), aiming to bolster vehicle safety and driver support.

The overall industry is segmented into vehicle, component, application, integration, technology, and region. The market is segmented by component into hardware and software. The software segment dominated with over 60% share in 2023 and is projected to surpass USD 2.5 billion by 2032. Software is pivotal in gathering, processing, and analyzing vast data from diverse sensors. It discerns emotional nuances, derives actionable insights, and ensures prompt responses when necessary.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$1 Billion
Forecast Value	$4.1 Billion
CAGR	16.5%

Leveraging advanced data analytics and machine learning, the software adeptly comprehends and reacts to emotional states. Application-wise, the vehicle emotional intelligence market encompasses driver monitoring & safety, passenger experience enhancement, safety and security, autonomous driving support, and health and wellness monitoring. The driver monitoring and safety systems claimed approximately 36% share in 2023. These systems are vital for bolstering road safety, continuously evaluating the driver's behavior and emotional state. By identifying fatigue, distraction, and stress, key accident contributors they enhance overall safety.North America vehicle emotional intelligence market constituted 35% share in 2023. North American consumers are increasingly gravitating towards vehicles boasting advanced features that prioritize safety, comfort, and convenience. Vehicle emotional intelligence (VEI) technologies cater to these demands by offering personalized in-car settings, real-time emotion-responsive modifications, and enhanced safety protocols in the region.

Chapter 1 Methodology & Scope

1.1 Market scope & definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates & calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

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 Hardware and sensor providers
- 3.2.2 Software and AI solutions providers
- 3.2.3 System integrators
- 3.2.4 End-users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Cost breakdown analysis
3.6 Patent analysis
3.7 Key news & initiatives
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Increased focus on driver and passenger safety
  - 3.9.1.2 Advancements in AI and ML for vehicle use
  - 3.9.1.3 Growing technological integration and connectivity in vehicles
  - 3.9.1.4 Enhanced user experience and personalization
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 Privacy and data security concerns
  - 3.9.2.2 High development costs
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 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 vehicle
5.3 Commercial vehicle
- 5.3.1 Trucks
- 5.3.2 Buses
- 5.3.3 Vans
5.4 Autonomous vehicles

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

6.1 Key trends
6.2 Hardware
6.3 Software

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

7.1 Key trends
7.2 Driver monitoring and safety
7.3 Passenger experience enhancement
7.4 Safety and security
7.5 Autonomous driving support
7.6 Health and wellness monitoring

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

8.1 Key trends
8.2 OEM
8.3 Aftermarket

Chapter 9 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Facial expression recognition
9.3 Voice recognition and analysis
9.4 Physiological sensors
9.5 Emotional/ Behavioral pattern analysis

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.3.8 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.5.4 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA