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市场调查报告书
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情绪检测与识别 (EDR) -市场占有率分析、产业趋势与统计、成长预测 (2024-2029)

Emotion Detection And Recognition (EDR) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3个工作天内

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简介目录

情绪侦测与辨识（EDR）市场规模预计在 2024 年为 572.5 亿美元，预计到 2029 年将达到 1394.4 亿美元，在预测期（2024-2029 年）复合年增长率为 19.49%。

情绪检测与识别 (EDR) 市场

情绪检测和识别 (EDR) 市场是一个快速成长的领域，涉及识别和分析人类情绪的技术的开发和实施。 EDR 系统利用多种技术，包括脸部表情辨识、语音分析、生理讯号和自然语言处理，来侦测和解释情绪状态。

主要亮点

  • 公司越来越认识到了解客户情绪对于改善其产品、服务和整体客户体验的重要性。 EDR 技术使企业能够透过分析客户情绪和情绪来收集有价值的见解。
  • 智慧型手錶和健身追踪器等穿戴式装置的普及为 EDR 技术创造了新的机会。这些设备可以收集心率和皮肤电导等生理资料，可用于情绪检测演算法。
  • 对先进行销工具不断增长的需求极大地推动了情绪检测和识别 (EDR) 市场的发展。情绪检测和识别技术使负责人能够更深入地了解客户的情绪、情绪和偏好。负责人可以透过分析行销宣传活动、广告和产品体验的情绪反应来了解客户如何与自有品牌互动。这些资料有助于制定更个人化和针对性的行销策略，提高客户参与和转换率。
  • 情绪检测和识别系统收集和分析个人资料，例如面部表情、录音、生理讯号和文字资料。此类敏感个人资讯的收集和使用引发了隐私问题。个人越来越意识到自己的资料权利，并要求对其个人资讯进行更大的控制。
  • 由于COVID-19，市场放缓，因为戴口罩已成为社会参与的必需品，并阻碍了日常生活中的情感识别。此外，面具设定下的辨识率最低，且不同的情绪类型与脸部的不同部位相关联，这阻碍了检测率。大流行后，由于连网型设备的增加，市场正在蓬勃发展。

情绪检测与识别 (EDR) 市场趋势

采用物联网主导的可穿戴设备来推动市场成长

  • 物联网和穿戴式装置日益增强的连接性和整合度提供了大量资料，EDR 系统可以利用这些数据来提供对人类情感的宝贵见解。这种资料主导的方法有可能彻底改变各个行业，包括医疗保健、游戏、智慧家庭和个人化体验。
  • 物联网彻底改变了设备和事物相互连接和通讯的方式。根据GSMA预测，到2025年，全球物联网连接数预计将达到250亿，同期物联网市场收益预计将超过1.1兆美元。将 EDR 技术整合到智慧型手机、智慧家庭系统和联网汽车等物联网设备中，可侦测和分析各种环境中的情绪。例如，支援物联网的智慧家庭系统可以使用 EDR 了解居住者的情绪状态，并相应地调整他们的环境，以提高舒适度和幸福感。
  • 此外，连接的可穿戴设备的数量也在增加。这些设备配备了感测器，可以收集、监控和分析心率、脉搏和体温等生命征象。据Cisco称，到 2022 年，全球连网穿戴装置数量预计将达到 11.05 亿台。
  • 智慧型手錶、健身追踪器和虚拟实境耳机等穿戴式装置最近非常受欢迎。这些设备通常包括收集心率、皮肤电导和体温等生理资料的感测器。透过结合其他资料分析这些生理讯号，EDR系统可以推断佩戴者的情绪状态。穿戴式装置提供了一种方便且非侵入性的方式来收集资料以进行情绪检测和识别。
  • 将 EDR 技术与物联网和穿戴式装置整合在医疗保健和福利领域尤其重要。 EDR 可用于监测和分析患者的情绪状态，为心理健康诊断、压力管理和个人化治疗计划提供有价值的见解。具有 EDR 功能的穿戴式装置可以追踪情绪模式并帮助更好地了解个人的健康状况。
  • 整合到物联网设备和穿戴式装置中的 EDR 技术有可能显着改善使用者体验。例如，EDR 可以使虚拟实境应用程式使虚拟环境适应使用者的情绪反应，从而创造更身临其境和引人入胜的体验。此外，在人机介面中使用 EDR 可让装置和系统智慧地回应使用者情绪，从而改善互动和整体使用者满意度。

北美有望成为最大市场

  • 北美是 EDR 技术市场规模和成长的关键地区之一。领先的科技公司、创新新兴企业和研究机构的存在正在为该地区 EDR 解决方案的开发和采用做出贡献。在对先进行销工具、个人化客户体验以及医疗保健和健康应用的需求的推动下，该市场正在经历稳定成长。
  • 北美处于人工智慧 (AI)、机器学习 (ML) 和电脑视觉等技术进步的前沿，这些对 EDR 技术的发展至关重要。该地区拥有强大的研发中心、大学和高科技公司生态系统，有助于 EDR 系统的持续创新和改进。
  • 到 2025 年，该地区的物联网连接预计将达到 59 亿。这种成长预计负责人能够获得真实的消费者洞察并改善广告定位。随着物联网、智慧穿戴装置、零售和广告支出的需求不断增长，该地区缺乏严格的资料监管，这进一步影响了成长。
  • 对先进行销和广告工具不断增长的需求正在推动北美 EDR 市场的发展。透过分析客户的情绪和情绪，EDR 技术使负责人能够创建个人化且引人入胜的宣传活动、优化广告成效并改善客户体验。零售、电子商务和娱乐等多个行业的北美公司正在采用 EDR 解决方案来提高其在市场中的竞争力。
  • 北美EDR市场受益于该地区的技术进步、市场对先进行销工具和个人化体验的强劲需求，以及EDR技术在医疗保健领域的应用。然而，公司必须遵守资料隐私法规并考虑道德因素，以确保在该地区负责任和透明地使用 EDR 技术。

情绪检测与识别 (EDR) 产业概述

由于存在多个供应商，情绪检测和识别市场是半固定的。此外，由于高投资成本和对熟练技术人员的高需求，新进入者仍然困难。市场参与企业正在采取联盟和收购等策略来加强其产品供应并获得永续的竞争优势。

  • 2023 年 1 月 - 领先的人类行为分析 AI 企业 nViso SA (NVISO) 宣布将在 CES2023 的 Socionext 展会上推出 Neuro SDK。 NVISO 扩大了其基于 BrainChip Akida 事件的全数位神经拟态处理平台支援的人类行为人工智慧应用频谱，从其产品组合中转移了新的人工智慧应用。这些功能包括动作单元、身体姿势和手势识别，以及先前发布的头部姿势、脸部地标、凝视和情绪 AI 应用程式以及评估套件(EVK) 版本的发布。

其他福利：

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买家/消费者的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间的敌对关係
  • 技术简介
  • 市场驱动因素
    • 利用物联网的穿戴式装置的普及
    • 对先进行销工具的需求不断增长
  • 市场挑战
    • 资料隐私问题和全球资料法规的引入
  • COVID-19 市场影响评估

第五章市场区隔

  • 透过软体和服务
    • 软体
      • 脸部辨识
      • 语音辨识
      • 生物感
    • 服务
  • 按行业分类
    • 政府机关
    • 卫生保健
    • 零售
    • 娱乐
    • 运输
    • 按行业分類的其他最终用户
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 德国
      • 法国
      • 英国
      • 其他欧洲国家
    • 亚太地区
      • 印度
      • 中国
      • 日本
      • 其他亚太地区
    • 拉丁美洲
      • 巴西
      • 阿根廷
      • 其他拉丁美洲
    • 中东/非洲
      • 阿拉伯聯合大公国
      • 南非
      • 其他中东和非洲
    • 世界其他地区

第六章 竞争形势

  • 公司简介
    • Affectiva Inc.（Smart Eye）
    • Emotibot Technologies Limited
    • iMotions
    • Noldus
    • Sightcorp.
    • Realeyes OU
    • NVISO SA
    • Kairos AR Inc.
    • Nemesysco Ltd
    • audEERING GMBH

第七章 投资分析

第八章 市场机会及未来趋势

简介目录
Product Code: 55780

The Emotion Detection And Recognition Market size is estimated at USD 57.25 billion in 2024, and is expected to reach USD 139.44 billion by 2029, growing at a CAGR of 19.49% during the forecast period (2024-2029).

Emotion Detection And Recognition (EDR) - Market

The Emotion Detection and Recognition (EDR) market is a rapidly growing sector that involves developing and implementing technologies capable of identifying and analyzing human emotions. EDR systems utilize various techniques such as facial expression recognition, speech analysis, physiological signals, and natural language processing to detect and interpret emotional states.

Key Highlights

  • Businesses increasingly recognize the importance of understanding customer emotions to enhance their products, services, and overall customer experience. EDR technologies enable companies to gather valuable insights by analyzing customer emotions and sentiments.
  • The widespread use of wearable devices, such as smartwatches and fitness trackers, has created new opportunities for EDR technology. These devices can collect physiological data, such as heart rate and skin conductance, which can be used in emotion detection algorithms.
  • The increasing need for advanced marketing tools drives the Emotion Detection and Recognition (EDR) market significantly. Emotion detection and recognition technology enables marketers to gain deeper insights into customer emotions, sentiments, and preferences. Marketers can understand how customers engage with their brand by analyzing emotional responses to marketing campaigns, advertisements, and product experiences. This data helps create more personalized and targeted marketing strategies, improving customer engagement and conversion rates.
  • Emotion detection and recognition systems collect and analyze personal data, including facial expressions, voice recordings, physiological signals, and textual data. The collection and use of such sensitive personal information raise privacy concerns. Individuals are becoming increasingly aware of their data rights and are demanding greater control over their personal information.
  • Due to COVID-19, the market is slowdown because wearing masks has become necessary for social engagement, interfering with emotional recognition in everyday life. Furthermore, it hindered detection rates because identification rates were lowest under mask settings, and different emotion types were associated with different parts of the face. Post-pandemic, the market is growing rapidly due to increased connected devices.

Emotion Detection and Recognition (EDR) Market Trends

Adoption of IOT driven Wearable Devices Driving the Market Growth

  • The increasing connectivity and integration of IoT devices and wearable devices offer a vast amount of data that EDR systems can leverage to provide valuable insights into human emotions. This data-driven approach can revolutionize various industries, including healthcare, gaming, smart homes, and personalized experiences.
  • The IoT has revolutionized the way devices and objects connect and communicate with each other. According to GSMA, the global IoT connections are estimated to reach 25 billion by 2025, and the IoT market revenue is expected to cross USD 1.1 trillion by the same period. With the integration of EDR technology into IoT devices, such as smartphones, smart home systems, and connected cars, it becomes possible to detect and analyze emotions in various contexts. For example, IoT-enabled smart home systems can use EDR to understand the emotional state of residents and adjust the environment accordingly for enhanced comfort and well-being.
  • Additionally, the number of connected wearable devices is also increasing. Such devices have sensors that collect, monitor, and analyze biological vitals, such as heart rate, pulse, and body temperature. According to Cisco Systems, the number of connected wearable devices globally is expected to reach 1,105 million in 2022.
  • Wearable devices, including smartwatches, fitness trackers, and virtual reality headsets, have recently gained significant popularity. These devices often include sensors that collect physiological data, such as heart rate, skin conductance, and body temperature. By analyzing these physiological signals in conjunction with other data, EDR systems can infer the wearer's emotional state. Wearable devices offer a convenient and non-intrusive way to gather data for emotion detection and recognition.
  • Integrating EDR technology with IoT and wearable devices has particular relevance in the healthcare and well-being sectors. EDR can be utilized to monitor and analyze the emotional state of patients, providing valuable insights for mental health diagnosis, stress management, and personalized treatment plans. Wearable devices with EDR capabilities can track emotional patterns and help individuals better understand their well-being.
  • EDR technology integrated into IoT devices and wearable devices has the potential to enhance user experiences significantly. For instance, EDR can enable virtual environments to adapt to the user's emotional responses in virtual reality applications, creating more immersive and engaging experiences. Additionally, EDR can be used in human-computer interfaces to enable devices and systems to respond intelligently to the user's emotions, improving interaction and overall user satisfaction.

North America is Expected to Register the Largest Market

  • North America has been one of the leading regions in market size and growth for EDR technology. The presence of major technology companies, innovative startups, and research institutions has contributed to the development and adoption of EDR solutions in the region. The market has witnessed steady growth driven by the demand for advanced marketing tools, personalized customer experiences, and applications in healthcare and wellness.
  • North America has been at the forefront of technological advancements, including artificial intelligence (AI), machine learning (ML), and computer vision, which are critical for developing EDR technology. The region has a robust ecosystem of research and development centers, universities, and tech companies that contribute to the continuous innovation and improvement of EDR systems.
  • The IoT connections in the region are expected to reach 5.9 billion by 2025. Such growth is expected to enable marketers to attain authentic consumer insights and improve ad targeting. In line with such growth in the demand for IoT, smart wearables, retail sales, and ad spending, the region does not have major stringent data regulations, which further influences the growth.
  • The North America EDR market has been fueled by the increasing need for advanced marketing and advertising tools. By analyzing customer emotions and sentiments, EDR technology enables marketers to create personalized and engaging campaigns, optimize advertising effectiveness, and enhance customer experiences. North American companies across various industries, including retail, e-commerce, and entertainment, are adopting EDR solutions to gain a competitive edge in the market.
  • The North America EDR market benefits from the region's technological advancements, strong market demand for advanced marketing tools and personalized experiences, and the application of EDR technology in healthcare. However, companies need to navigate data privacy regulations and address ethical considerations to ensure the responsible and transparent use of EDR technology in the region.

Emotion Detection and Recognition (EDR) Industry Overview

The emotion detection and recognition market is semi-consolidated owing to the presence of multiple vendors in the market. Moreover, market entry for new entrants remains challenging due to higher investment and demand for skilled technicians. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

  • January 2023 - nViso SA (NVISO), one of the leading Human Behavioural Analytics AI businesses, announced that its Neuro SDK would be presented at the Socionext display at CES2023. NVISO has expanded the spectrum of Human Behavioural AI Apps that it supports on the BrainChip Akida event-based, fully digital neuromorphic processing platform by transferring new AI Apps from its portfolio. These features include Action Units, Body Pose, and Gesture Recognition, in addition to the previously announced Headpose, Facial Landmark, Gaze, and Emotion AI Apps with the release of the Evaluation Kit (EVK) version.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Technology Snapshot
  • 4.4 Market Drivers
    • 4.4.1 Adoption of IOT driven Wearable Devices
    • 4.4.2 Increasing Need for Advanced Marketing Tools
  • 4.5 Market Challenges
    • 4.5.1 Data Privacy Concerns and data Regulation Adoption across the World
  • 4.6 Assessment of Impact of COVID-19 on the Market

5 MARKET SEGMENTATION

  • 5.1 By Software and Services
    • 5.1.1 Software
      • 5.1.1.1 Facial Recognition
      • 5.1.1.2 Speech and Voice Recognition
      • 5.1.1.3 Bio-sensing
    • 5.1.2 Services
  • 5.2 By End-user Vertical
    • 5.2.1 Government
    • 5.2.2 Healthcare
    • 5.2.3 Retail
    • 5.2.4 Entertainment
    • 5.2.5 Transportation
    • 5.2.6 Other End-user Verticals
  • 5.3 By Geography
    • 5.3.1 North America
      • 5.3.1.1 United States
      • 5.3.1.2 Canada
    • 5.3.2 Europe
      • 5.3.2.1 Germany
      • 5.3.2.2 France
      • 5.3.2.3 United Kingdom
      • 5.3.2.4 Rest of Europe
    • 5.3.3 Asia Pacific
      • 5.3.3.1 India
      • 5.3.3.2 China
      • 5.3.3.3 Japan
      • 5.3.3.4 Rest of Asia Pacific
    • 5.3.4 Latin America
      • 5.3.4.1 Brazil
      • 5.3.4.2 Argentina
      • 5.3.4.3 Rest of Latin America
    • 5.3.5 Middle East & Africa
      • 5.3.5.1 UAE
      • 5.3.5.2 South Africa
      • 5.3.5.3 Rest of Middle East and Africa
    • 5.3.6 Rest of the world

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Affectiva Inc. (Smart Eye)
    • 6.1.2 Emotibot Technologies Limited
    • 6.1.3 iMotions
    • 6.1.4 Noldus
    • 6.1.5 Sightcorp.
    • 6.1.6 Realeyes OU
    • 6.1.7 NVISO SA
    • 6.1.8 Kairos AR Inc.
    • 6.1.9 Nemesysco Ltd
    • 6.1.10 audEERING GMBH

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS