首頁 > 市場調查報告書 > 汽車工業

ADAS

市場調查報告書

商品編碼

1616332

2024 - 2032 年汽車情緒智慧市場機會、成長動力、產業趨勢分析與預測

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個工作天內

價格

簡介目錄

2023 年，全球車輛情感智慧市場估值為10 億美元，預計2024 年至2032 年複合年成長率為16.5%。了市場擴張。例如，2024 年 1 月，Smart Eye 和 Cerence 在 CES 2024 上公佈了合作夥伴關係，推出了情感智慧車載助理。此外，對駕駛員和乘客安全的高度重視正在推動對車輛情緒智慧系統的需求。這些系統透過測量駕駛員的精神狀態來提高安全性，從而可能避免事故，從而發揮關鍵作用。

它們可以偵測疲勞、壓力或分心，及時發出警報或採取糾正措施，例如建議休息或修改駕駛參數以提高安全性。在汽車和科技領域主要參與者的創新和對新穎功能的推動下，汽車情感智慧市場也正在見證改變。技術進步和不斷變化的消費者期望正在塑造這些新興趨勢。一項顯著的進步是將情緒智慧與高級駕駛員輔助系統 (ADAS) 相融合，旨在增強車輛安全和駕駛員支援。

整個產業分為車輛、零件、應用、整合、技術和區域。市場依組件分為硬體和軟體。到 2023資料，軟體細分市場將佔據超過 60% 的佔有率，預計到 2032 年將超過 25 億美元。它可以辨別情感的細微差別，得出可行的見解，並確保在必要時迅速做出反應。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	10億美元
預測值	41 億美元
複合年成長率	16.5%

該軟體利用先進的資料分析和機器學習，能夠熟練地理解情緒狀態並做出反應。從應用角度來看，車輛情緒智慧市場涵蓋駕駛員監控和安全、乘客體驗增強、安全和安保、自動駕駛支援以及健康和保健監控。到 2023 年，駕駛員監控和安全系統將佔據約 36% 的佔有率。透過識別疲勞、分心和壓力等主要事故原因，他們可以提高整體安全性。舒適性和便利性的先進功能的車輛。車輛情感智慧 (VEI) 技術透過提供個人化的車內設定、即時情感反應修改和增強的區域安全協議來滿足這些需求。

產業生態系統分析
供應商格局
- 硬體和感測器提供者
- 軟體及人工智慧解決方案提供商
- 系統整合商
- 最終用戶
利潤率分析
技術與創新格局
成本明細分析
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 更加關注駕駛員和乘客的安全
  - 車輛使用人工智慧和機器學習的進步
  - 車輛技術整合和互聯性不斷增強
  - 增強的使用者體驗和個人化
- 產業陷阱與挑戰
  - 隱私和資料安全問題
  - 開發成本高
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
- 卡車
- 巴士
- 貨車
自動駕駛汽車

第 6 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
硬體
軟體

第 7 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
駕駛員監控和安全
旅客體驗提升
安全保障
自動駕駛支援
健康與保健監測

第 8 章：市場估計與預測：依整合分類，2021 - 2032 年

主要趨勢
OEM
售後市場

第 9 章：市場估計與預測：依技術分類，2021 - 2032

主要趨勢
臉部表情辨識
語音辨識與分析
生理感測器
情緒/行為模式分析

第 10 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
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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

簡介目錄

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