차량 감정 인텔리전스 시장 기회, 성장 촉진요인, 산업 동향 분석, 예측(2024-2032년)

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.

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.

Table of Contents

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

Chapter 11 Company Profiles

• 11.1 Affectiva
• 11.2 Antolin
• 11.3 AVATR Technology
• 11.4 BMW AG
• 11.5 Robert Bosch GmbH
• 11.6 Cerence
• 11.7 Eyeris AI
• 11.8 Forvia
• 11.9 Harman International
• 11.10 Kia Corporation
• 11.11 Microsoft Corporation
• 11.12 Netradyne
• 11.13 Nvidia Corporation
• 11.14 Panasonic Holdings Corporation
• 11.15 Smart Eye AB
• 11.16 SRI International
• 11.17 Valeo
• 11.18 Visteon Corporation
• 11.19 Xpeng Motors
• 11.20 Xperi Inc