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情绪检测和识别市场 - 预测 2023-2028
市场调查报告书
商品编码
1279627

情绪检测和识别市场 - 预测 2023-2028

Emotion Detection and Recognition Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 160 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

情绪检测和识别市场预计到 2028 年将达到 379.38 亿美元，复合年增长率为 11.71%，较 2021 年的市场规模 174.8 亿美元增长。 情绪检测和识别是集成机器学习算法、人工智能软件、自然语言处理和生物传感器系统等各种电脑技术来分析人脸、手势和声音以检测和识别人类情绪的过程。 通过检查面部动作、分析声音调製和识别身体姿势，可以了解用户的情绪状态。 随着人工智能技术的进步，情绪检测软件的相对准确度有所提高，导致情绪识别软件的消耗增加。 该软件可以让公司了解用户的偏好。 能够接收情感反馈可以让公司改进他们的产品。 因此，情绪检测和识别市场预计在预测期内将出现显着增长。

在线营销策略的兴起正在增加情绪检测和识别市场的需求。

根据 Sprout Social Company 发布的一份报告，约 93% 的企业通过社交媒体上的视频广告获取新客户并扩大客户群。 因此，广告公司和营销公司希望采用情绪检测和识别软件来分析内容有效性并验证消费者行为以供将来参考。 使用情绪识别软件可以帮助探测广告的各个组成部分并将其与观众的情绪联繫起来。 因此，数位营销的发展正在推动对情绪识别和检测软件的需求。

与使用情绪检测软件相关的道德问题可能会限制情绪检测和识别市场的扩展。

随着情绪检测和识别市场的推出，侵犯隐私的道德问题引起了一些消费者的强烈反对。 美国国家标准与技术研究所的一项研究显示，该国大约50%的成年人的面孔被记录在面部识别软件的数据库中。 因此，越来越多的客户担心私人空间被情绪和脸部检测软件侵入。 例如，华盛顿州提出了一项新法案，禁止在政府机构中使用面部识别和生物识别软件。 上市公司持有的负面情绪导致公司不再使用情绪人工智能。 例如，微软将于 2022 年从其基于云的解决方案中删除情绪检测软件。 这可能会限制情绪检测和识别市场的发展。

通过将情绪AI等情绪检测软件引入学校和教室，将可以检查课堂情绪和孩子的情绪状态。

例如，Find Solutions AI 正在与香港的学校合作，通过分析面部肌肉运动来解读小学生情绪的消极和积极变化。 这将使教师和学校官员更好地了解学生的注意力和教学的有效性。 更复杂的学校课程和学生之间更高水平的竞争导致心理健康问题和自杀率增加。 例如，印度国家犯罪记录局透露，2022年学生自杀率比上一年的记录增加了约4.5%。 因此，通过应用情绪检测软件，教育机构将能够分析学生的微小动作，分析他们的情绪和心理健康状况。 因此，教育领域对良好情绪和心理健康的需求不断增长，正在推动情绪检测和识别市场的增长。

北美在情绪检测和识别市场中占有显着份额，预计在预测期内将大幅增长。

强大的人工智能技术市场的存在和计算机软件的快速进步正在刺激情绪检测和识别市场在北美汽车和零售等各个行业的应用。 此外，谷歌、IBM、微软、苹果等北美主要科技公司都在积极投资，在包括情感AI在内的各个领域创新人工智能软件的新发展，以更好地服务他们的客户。产品介绍。 为了改善用户体验，这些公司正在其对话聊天机器人和情绪检测解决方案中部署人工智能软件。 此外，加拿大和美国还出现了专注于创建情绪识别软件的新型人工智能科技初创公司，例如 Weare human.io、Braiq、Nuralogix、Cynny 和 Mad Street Den，为该地区的情绪检测软件开发创造了机会。正在给予 因此，情绪检测和识别市场预计在预测期内将逐渐增长。

内容

第 1 章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第 2 章研究方法

  • 调查数据
  • 调查设计

第 3 章执行摘要

  • 调查要点

第 4 章市场动态

  • 市场促进因素
  • 市场抑制因素
  • 波特五力分析
  • 行业价值链分析

第 5 章情绪检测和识别市场：按类型

  • 简介
  • 人脸识别
  • 手势识别
  • 语音识别

第 6 章情绪检测和识别市场：按技术划分

  • 简介
  • 生物传感器
  • 自然语言处理
  • 机器学习

第 7 章情绪检测和识别市场：按应用划分

  • 简介
  • 游戏
  • 虚拟助理
  • 监控
  • 应征
  • 其他

第 8 章情绪检测和识别市场：按最终用户划分

  • 简介
  • 汽车
  • 家用电器
  • 政府
  • 医疗保健
  • 教育
  • 其他

第 9 章情绪检测和识别市场：按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 其他
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳大利亚
    • 新加坡
    • 印度尼西亚
    • 其他

第 10 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议与合作
  • 供应商竞争力矩阵

第 11 章公司简介

  • Affective
  • Apple Inc.
  • Microsoft Corporation
  • Eyeris Technology Inc.
  • Noldus Information Technology BV
  • MorphCast
  • AritaWeb
  • audEERING GmbH
  • NVISO SA
  • Paravision
简介目录
Product Code: KSI061614872

The emotion detection and recognition market is expected to grow at a CAGR of 11.71% from a market size of US$17.48 billion in 2021 to reach US$37.938 billion in 2028. Emotion detection and recognition refers to the process of integrating different computer technologies including machine learning algorithms, artificial intelligence software, natural language processing, and biosensor systems to detect and recognize human emotions by analyzing their face, gestures, and voice. It examines facial movements, analyzes voice modulation, and identifies body gestures to provide insight into the emotional state of the user. The technological advancements in AI technology have resulted in a relative increase in the accuracy of emotion detection software which is resulting in higher consumption of emotion recognition software. This software allows companies to understand the preferences of their users. The ability to receive emotional feedback can help companies to enhance their products. Therefore, it can be expected that the emotion detection and recognition market will witness significant growth over the forecast period.

The rise in online marketing strategies have resulted in a higher demand for the emotion detection and recognition market.

According to a report published by Sprout Social Company, approximately 93% of companies have expanded their customer base by gaining new customers through social media video advertisements. As a result, advertising agencies and marketing companies are considering the adoption of emotion detection and recognition software to analyze the effectiveness of their content and examine consumers' behavior for future reference. The employment of emotion recognition software could aid companies in thoroughly investigating the different components of their advertisements and correlating them with the emotions of the viewers. Therefore, the growth of digital marketing is driving the demand for emotion recognition and detection software.

The ethical issues associated with the use of emotion detection software could limit the expansion of the emotion detection and recognition market.

The ethical issues of privacy violation as a result of the implementation of the emotion detection and recognition market are causing a backlash among several consumers. Research conducted by the National Institute of Standards and Technology in the US revealed that approximately 50% of adult faces in the country have been recorded in the facial recognition software database. Consequentially, an increasing number of customers are concerned about the invasion of their private space by emotion and facial detection software. For instance, the state of Washington has introduced a new bill to prohibit the use of facial and biometric recognition software in its government departments and agencies. As a result of the negative sentiment among the public, companies have restrained the use of emotional AI. For example, Microsoft withdrew the application of emotion detection software from its cloud-based solutions in 2022. Therefore, this could potentially limit the development of the emotion detection and recognition market.

Key Developments

  • In July 2022, Lightbulb Ai, an emotional AI startup in India secured an additional investment of US$1.5 million to expand its datasets and strengthen its machine learning algorithms. This startup has four clients including a Columbian company and is planning on using the investment to expand its operations to cater to the international market.
  • In May 2021, Smart Eye, a Swedish company producing software services to track eye movements acquired Affectiva, a US company specializing in the production of emotion recognition software, for US$73.5 million to diversify their vehicle interior sensing capabilities.
  • In January 2021, Herta Security launched a new emotion detection software BioObserver by collaborating with its clients in the law execution department to analyze videos and identify emotions based on the micro-movements in the facial biometrics including orientation of the head and the direction of the gaze of a person.

The implementation of emotional AI and other emotion detection software in schools and classrooms provides an opportunity to examine the class atmosphere and the emotional state of the children.

For instance, Find Solutions AI has collaborated with schools in Hong Kong to interpret the negative and positive changes in the emotions of school children by analyzing their facial muscle movements. This can assist the teachers and school faculty to gain a better understanding of the student's concentration ability and the effectiveness of their teaching. The increasing complexity of school curriculum and high competition levels among students has resulted in an increase in the number of mental health issues and suicide incidents. For instance, the National Crime Records Bureau of India revealed that suicide incidents among students increased by approximately 4.5% in 2022 in comparison with its previous year's records. Therefore, the application of emotion detection software could enable educational institutions to analyze micro-movements in students to analyze their emotional and psychological well-being. Hence, the increasing requirement for good emotional and psychological health in the education sector propels the growth of the emotion detection and recognition market.

North America holds a prominent share of the emotion detection and recognition market and is expected to grow significantly over the forecasted period.

The presence of a strong AI technology market and the rapid advancements in computer software are stimulating the application of the emotion detection and recognition market across different industries including the automotive and retail sectors in North America. In addition, leading technology companies in North America like Google, IBM, Microsoft, and Apple are actively investing to innovate new developments in artificial intelligence software in all fields including emotional AI, and are constantly striving to improve their product portfolio to offer better services to their customers. In an attempt to improve the user experience, these companies have been implementing artificial intelligence software in conversational chatbots and emotion detection solutions. Further, the emergence of new AI-tech startups in Canada and the US specializing in the creation of emotion recognition software such as Wearehuman.io, Braiq, Nuralogix, Cynny, and Mad Street Den provides an opportunity for the development of emotion detection software in the region. Hence, it can be anticipated that the emotion detection and recognition market will gradually grow over the forecast period.

Market Segmentation

By Type

  • Facial Recognition
  • Gesture Recognition
  • Speech Recognition

By Technology

  • Biosensors
  • Natural Language Processing
  • Machine Learning

By Application

  • Gaming
  • Virtual Assistants
  • Surveillance
  • Recruitment
  • Others

By End-Users

  • Automotive
  • Consumer Electronics
  • Government
  • Healthcare
  • Education
  • Others

By Geography

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Singapore
    • Indonesia
    • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. EMOTION DETECTION AND RECOGNITION MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Facial Recognition
  • 5.3. Gesture Recognition
  • 5.4. Speech Recognition

6. EMOTION DETECTION AND RECOGNITION MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Biosensors
  • 6.3. Natural Language Processing
  • 6.4. Machine Learning

7. EMOTION DETECTION AND RECOGNITION MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Gaming
  • 7.3. Virtual Assistants
  • 7.4. Surveillance
  • 7.5. Recruitment
  • 7.6. Others

8. EMOTION DETECTION AND RECOGNITION MARKET BY END-USERS

  • 8.1. Introduction
  • 8.2. Automotive
  • 8.3. Consumer Electronics
  • 8.4. Government
  • 8.5. Healthcare
  • 8.6. Education
  • 8.7. Others

9. EMOTION DETECTION AND RECOGNITION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. USA
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. China
    • 9.6.2. Japan
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Australia
    • 9.6.6. Singapore
    • 9.6.7. Indonesia
    • 9.6.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Emerging Players and Market Lucrativeness
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Vendor Competitiveness Matrix

11. COMPANY PROFILES

  • 11.1. Affective
  • 11.2. Apple Inc.
  • 11.3. Microsoft Corporation
  • 11.4. Eyeris Technology Inc.
  • 11.5. Noldus Information Technology BV
  • 11.6. MorphCast
  • 11.7. AritaWeb
  • 11.8. audEERING GmbH
  • 11.9. NVISO SA
  • 11.10. Paravision