市場調查報告書
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1279627
情緒檢測和識別市場 - 預測 2023-2028Emotion Detection and Recognition Market - Forecasts from 2023 to 2028 |
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。
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。
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。
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。
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。
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.
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 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.
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.
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.