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情緒檢測和識別市場 - 預測 2023-2028
市場調查報告書
商品編碼
1279627

情緒檢測和識別市場 - 預測 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個工作天內

價格
簡介目錄

情緒檢測和識別市場預計到 2028 年將達到 379.38 億美元，複合年增長率為 11.71%，較 2021 年的市場規模 174.8 億美元增長。 情緒檢測和識別是集成機器學習算法、人工智能軟件、自然語言處理和生物傳感器系統等各種電腦技術來分析人臉、手勢和聲音以檢測和識別人類情緒的過程。 通過檢查面部動作、分析聲音調製和識別身體姿勢，可以了解用戶的情緒狀態。 隨著人工智能技術的進步，情緒檢測軟件的相對準確度有所提高，導致情緒識別軟件的消耗增加。 該軟件可以讓公司了解用戶的偏好。 能夠接收情感反饋可以讓公司改進他們的產品。 因此，情緒檢測和識別市場預計在預測期內將出現顯著增長。

在線營銷策略的興起正在增加情緒檢測和識別市場的需求。

根據 Sprout Social Company 發布的一份報告，約 93% 的企業通過社交媒體上的視頻廣告獲取新客戶並擴大客戶群。 因此，廣告公司和營銷公司希望採用情緒檢測和識別軟件來分析內容有效性並驗證消費者行為以供將來參考。 使用情緒識別軟件可以幫助探測廣告的各個組成部分並將其與觀眾的情緒聯繫起來。 因此，數位營銷的發展正在推動對情緒識別和檢測軟件的需求。

與使用情緒檢測軟件相關的道德問題可能會限制情緒檢測和識別市場的擴展。

隨著情緒檢測和識別市場的推出，侵犯隱私的道德問題引起了一些消費者的強烈反對。 美國國家標準與技術研究所的一項研究顯示，該國大約50%的成年人的面孔被記錄在面部識別軟件的數據庫中。 因此，越來越多的客戶擔心私人空間被情緒和臉部檢測軟件侵入。 例如，華盛頓州提出了一項新法案，禁止在政府機構中使用面部識別和生物識別軟件。 上市公司持有的負面情緒導致公司不再使用情緒人工智能。 例如，微軟將於 2022 年從其基於雲的解決方案中刪除情緒檢測軟件。 這可能會限制情緒檢測和識別市場的發展。

通過將情緒AI等情緒檢測軟件引入學校和教室，將可以檢查課堂情緒和孩子的情緒狀態。

例如，Find Solutions AI 正在與香港的學校合作，通過分析面部肌肉運動來解讀小學生情緒的消極和積極變化。 這將使教師和學校官員更好地了解學生的注意力和教學的有效性。 更複雜的學校課程和學生之間更高水平的競爭導致心理健康問題和自殺率增加。 例如，印度國家犯罪記錄局透露，2022年學生自殺率比上一年的記錄增加了約4.5%。 因此，通過應用情緒檢測軟件，教育機構將能夠分析學生的微小動作，分析他們的情緒和心理健康狀況。 因此，教育領域對良好情緒和心理健康的需求不斷增長，正在推動情緒檢測和識別市場的增長。

北美在情緒檢測和識別市場中佔有顯著份額，預計在預測期內將大幅增長。

強大的人工智能技術市場的存在和計算機軟件的快速進步正在刺激情緒檢測和識別市場在北美汽車和零售等各個行業的應用。 此外，谷歌、IBM、微軟、蘋果等北美主要科技公司都在積極投資，在包括情感AI在內的各個領域創新人工智能軟件的新發展，以更好地服務他們的客戶。產品介紹。 為了改善用戶體驗，這些公司正在其對話聊天機器人和情緒檢測解決方案中部署人工智能軟件。 此外，加拿大和美國還出現了專注於創建情緒識別軟件的新型人工智能科技初創公司，例如 Weare human.io、Braiq、Nuralogix、Cynny 和 Mad Street Den，為該地區的情緒檢測軟件開發創造了機會。正在給予 因此，情緒檢測和識別市場預計在預測期內將逐漸增長。

內容

第 1 章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第 2 章研究方法

  • 調查數據
  • 調查設計

第 3 章執行摘要

  • 調查要點

第 4 章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 行業價值鏈分析

第 5 章情緒檢測和識別市場：按類型

  • 簡介
  • 人臉識別
  • 手勢識別
  • 語音識別

第 6 章情緒檢測和識別市場：按技術劃分

  • 簡介
  • 生物傳感器
  • 自然語言處理
  • 機器學習

第 7 章情緒檢測和識別市場：按應用劃分

  • 簡介
  • 遊戲
  • 虛擬助理
  • 監控
  • 應徵
  • 其他

第 8 章情緒檢測和識別市場：按最終用戶劃分

  • 簡介
  • 汽車
  • 家用電器
  • 政府
  • 醫療保健
  • 教育
  • 其他

第 9 章情緒檢測和識別市場：按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 西班牙
    • 其他
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳大利亞
    • 新加坡
    • 印度尼西亞
    • 其他

第 10 章競爭格局與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議與合作
  • 供應商競爭力矩陣

第 11 章公司簡介

  • Affective
  • Apple Inc.
  • Microsoft Corporation
  • Eyeris Technology Inc.
  • Noldus Information Technology BV
  • MorphCast
  • AritaWeb
  • audEERING GmbH
  • NVISO SA
  • Paravision
簡介目錄
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