市场调查报告书
商品编码
1470869
情绪侦测与识别市场:按技术、组件、应用领域、产业划分 - 2024-2030 年全球预测Emotion Detection & Recognition Market by Technology (Biosensors Technology, Feature Extraction & 3D Modelling, Machine Learning), Component (Hardware, Services, Software), Application Area, Verticals - Global Forecast 2024-2030 |
※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。
预计2023年情绪检测与辨识市场规模为429亿美元,预计2024年将达到482.4亿美元,2030年将达到1052.6亿美元,复合年增长率为13.67%。
情绪检测和识别支持透过各种技术手段识别和解释人类情绪。情绪检测和识别系统透过分析面部表情、语气和生理线索来识别情绪状态,为各种应用提供有价值的见解。该市场是由人机互动、个人化行销和心理健康监测领域对情绪智商不断增长的需求所推动的。情绪检测和识别在医疗保健和零售等行业的整合,以及改善客户体验和基于情绪洞察客製化服务的愿望正在推动情绪检测和识别市场的成长。对隐私和同意的道德担忧,以及有偏见的演算法可能导致不准确的情绪识别,正在阻碍市场的成长。此外,将情感识别整合到消费者技术中,为个人化、同理心的互动打开了大门,并改善了使用者体验。随着市场的不断发展,在利用潜在应用的同时负责任地解决道德问题是情绪检测和识别市场持续增长的关键机会。
主要市场统计 | |
---|---|
基准年[2023] | 429亿美元 |
预测年份 [2024] | 482.4亿美元 |
预测年份 [2030] | 1052.6亿美元 |
复合年增长率(%) | 13.67% |
扩大情绪检测和识别软体的使用,从组件原始资料推断情绪洞察
情绪检测和识别硬体组件至关重要,因为它们包含用于捕获情绪反应的实体设备。其中包括生物辨识感测器、红外线摄影机和定量测量生理反应的可穿戴设备。硬体仍然是 EDR 的基础并捕获准确的生理资料。服务部分包括整合和维护支援、咨询服务和培训援助。这些服务支援您的 EDR 系统的成功实施和运作。软体部门是EDR的关键组成部分,负责处理所获取的资料、模式识别和情绪分析。部署机器学习和人工智慧技术以实现准确的情绪识别和预测。该软体提供了从原始资料推断情感洞察所需的电脑製。
技术:特征提取与3D建模的普及,真实模拟人类情感表达。
生物感测器技术是情绪侦测和辨识领域的关键要素,它利用生理参数来识别情绪状态。复杂的生物感测器可侦测心率、体温、皮肤电反应等的变化,提供详细且准确的情绪读数。透过特征提取和 3D 建模创建忠实模仿人类情感表达的模拟。透过根据关键面部特征和手势创建参数来分析和理解情绪。机器学习是情绪侦测和辨识的核心,它采用的演算法可以分析大量情绪资料、辨识模式并预测一段时间内的结果。自然语言处理(NLP)强调识别和分析透过文字传达的情感的能力。 NLP 可以深入了解客户情绪,这在行销和心理健康领域很有价值。这些技术的整合和进步具有增强情绪检测和识别的综合潜力。
应用领域:由于远端患者监护的增加,医疗保健领域的应用范围扩大
娱乐和消费性电子领域的情绪检测技术通常用于促进用户互动性和改善游戏体验。情绪侦测技术对于执法、监视和打击犯罪的监测至关重要。行销和广告产业利用情绪检测技术来洞察客户行为、预测趋势并调整行销策略。情绪检测和识别在医疗紧急情况下也至关重要,可以帮助医疗保健提供者了解患者的情绪状态并帮助诊断。研究机构和大学正在利用情绪检测和识别来推进人机互动、神经心理学和人工智慧的研究。相较之下,由于对个人化和互动游戏体验的需求不断增长,娱乐和消费性电子产品是成长最快的领域。然而,执法、监视和监测具有最大的潜在影响,会大规模影响安全和保障。行销和广告将极大地受益于情绪检测,从而可以进行更有针对性和更有效的广告。然而,医疗紧急情况下情绪识别的显着增长反映了医疗保健格局的快速发展以及对远端医疗和远端患者监护日益增长的兴趣。
按行业划分:大量利用情绪侦测技术增强个人化购物体验
汽车行业越来越多地利用情感识别来个性化驾驶体验并确保道路安全。情绪检测可增强银行、金融服务和保险 (BFSI) 领域的客户服务。情绪识别技术极大地简化了医疗保健中的诊断和治疗。资讯科技(IT)和ITES公司也开始使用情绪侦测技术来改善使用者体验。在媒体和娱乐领域,情感识别软体用于衡量观众的偏好和反应。零售商和电子商务营运商正在将情感识别软体整合到他们的客户体验框架中,以更清晰地了解消费者的行为和偏好。通讯开始整合情绪侦测技术来分析通话资料并改善客户服务。情绪侦测和识别将彻底改变各个垂直市场,并透过个人化互动改善客户体验。
区域洞察
在美洲,随着人工智慧和生物识别技术在各个行业的采用不断增加,情绪检测和识别市场正在显着增长。北美地区越来越多地采用先进技术来改善人机互动和客户体验,预计这将成为市场成长的基础。市场受益于医疗保健等领域对个人化服务和应用不断增长的需求,其中情感洞察有助于心理健康诊断。在亚太地区,由于人工智慧和生物识别技术的日益采用,情绪检测和识别市场正在快速成长。中国、日本和印度等国家正在各行业积极采用 EDR 解决方案,包括医疗保健、娱乐和零售。该地区受益于精通技术的人口以及专注于透过个人化互动改善用户体验。由于存在强大的法律规范解决隐私问题并促进 EDR 技术的负责任实施,欧洲、中东和非洲地区的情绪检测和识别市场正在显着增长。随着公司努力提高客户参与和用户体验,欧洲、中东和非洲地区仍然是透过技术创新和道德考量来塑造 EDR 市场轨蹟的关键地区。
FPNV定位矩阵
FPNV定位矩阵对于评估情绪侦测和识别市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对情绪检测和识别市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争评估及资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行综合评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1.情绪侦测/辨识市场的市场规模和预测是多少?
2.在情绪侦测和识别市场的预测期内,需要考虑投资哪些产品、细分市场、应用程式和领域?
3.情绪侦测/辨识市场的技术趋势和法规结构是什么?
4.情绪侦测与辨识市场主要厂商的市场占有率如何?
5. 进入情绪侦测和辨识市场的合适型态和策略手段是什么?
[187 Pages Report] The Emotion Detection & Recognition Market size was estimated at USD 42.90 billion in 2023 and expected to reach USD 48.24 billion in 2024, at a CAGR 13.67% to reach USD 105.26 billion by 2030.
Emotion detection & recognition help in the identification and interpretation of human emotions through various technological means. Emotion detection & recognition systems analyze facial expressions, voice tones, and physiological cues to discern emotional states, providing valuable insights for diverse applications. The market is propelled by an increasing demand for emotional intelligence in human-machine interactions, personalized marketing, and mental health monitoring. The integration of emotion detection & recognition in sectors such as healthcare and retail, driven by the desire to enhance customer experiences and tailor services based on emotional insights, is driving the growth of the emotion detection & recognition market. Ethical concerns related to privacy and consent, as well as the potential for biased algorithms leading to inaccurate emotion recognition, hinder the growth of the market. Additionally, the integration of emotion recognition in consumer technology opens doors for personalized and empathetic interactions, enhancing user experiences. As the market continues to evolve, responsibly navigating ethical concerns while harnessing the potential applications presents a crucial opportunity for the sustained growth of the emotion detection & recognition market.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 42.90 billion |
Estimated Year [2024] | USD 48.24 billion |
Forecast Year [2030] | USD 105.26 billion |
CAGR (%) | 13.67% |
Component: Expanding usage of emotion detection & recognition software to extrapolate emotional insights from raw data
The hardware component in emotion detection & recognition is vital as it encompasses the physical devices used in capturing emotional responses. These can be biometric sensors, infrared cameras, and wearable devices that quantitatively measure physiological reactions. Hardware remains the fundamental basis of EDR, capturing accurate physiological data. The services segment involves integration and maintenance support, consulting services, and training assistance. These services aid in the successful implementation and operation of EDR systems. The software segment is a critical EDR component, responsible for processing captured data, pattern recognition, and emotional analysis. The deployment of machine learning and artificial intelligence techniques for accurate emotion recognition and prediction. The software provides the computational mechanisms necessary to extrapolate emotional insights from raw data.
Technology: Growing popularity of feature extraction & 3D modeling for realistic simulations of human emotional expressions
Biosensor technology, a crucial component in the emotion detection & recognition field, leverages physiological parameters to identify emotional states. Sophisticated biosensors detect changes in heart rate, body temperature, and galvanic skin response, among other markers, providing detailed and precise emotional readings. Feature extraction & 3D modeling create simulations that closely mimic human emotional expressions. Emotions can be analyzed and understood by creating parameters based on key facial features and gestures. Machine learning, functioning at the heart of emotion detection & recognition, employs algorithms to analyze multitudes of emotional data, recognizing patterns and predicting outcomes over time. Natural language processing (NLP) underlines the capacity to recognize and analyze emotions conveyed through text. NLP offers an insightful examination of customer sentiments, invaluable in marketing and mental health care sectors. The integration and advancement of these technologies have an overarching potential to enhance emotion detection and recognition.
Application Area: Rising applications into healthcare sector due to the growing remote patient monitoring
Emotion detection technology in the entertainment and consumer electronics sphere is commonly used to facilitate user interactivity and enhance gaming experiences. Emotion detection technology is crucial in law enforcement, surveillance, and monitoring to combat crime. The marketing and advertising industry leverages emotion detection technology to gain insights into customer behavior, predict trends, and tailor marketing strategies. Emotion detection and recognition are also vital in medical emergencies, assisting healthcare providers in understanding patients' emotional states and aiding in diagnostics. Research institutes and universities leverage emotion detection and recognition to advance human-computer interaction, neuropsychology, and artificial intelligence studies. Comparatively, entertainment and consumer electronics are the fastest-growing sectors due to increasing demand for personalized and interactive gaming experiences. However, law enforcement, surveillance, and monitoring have the most potential for impact, influencing safety and security on a large scale. Marketing and advertising benefit immensely from emotion detection, allowing for more targeted and effective advertising. Still, the significant growth in emotion recognition in medical emergencies reflects the rapidly evolving healthcare landscape and the growing interest in telemedicine and remote patient monitoring.
Vertical: Significant utilization of emotion detection technology to enhance personalized shopping experiences
The automotive sector increasingly leverages emotion recognition to personalize the driving experience and ensure road safety. Emotion detection enhances customer services for the Banking, Financial Services, and Insurance (BFSI) sector. Emotion recognition technology considerably simplifies diagnosis and treatment in healthcare. Information Technology (IT) and ITES companies have also begun using emotional detection technology to elevate user experiences. The media and entertainment sector exploits emotion recognition software to gauge viewer preferences and reactions. Retailers and eCommerce businesses are integrating emotion recognition software into their customer experience frameworks to glean clearer insights about shopper behavior and preferences. Telecommunication has begun integrating emotion detection technology to analyze call data and improve customer service. Emotion detection and recognition profoundly reshape various market verticals, enhancing customer experiences through personalized interactions.
Regional Insights
In the Americas, the emotion detection & recognition market is experiencing significant growth, driven by the increasing adoption of artificial intelligence and biometrics across diverse industries. Increasing adoption of advanced technologies to enhance human-machine interactions and customer experiences in North America is expected to create a platform for market growth. The market benefits from the rising demand for personalized services, with applications in sectors including healthcare, where emotional insights contribute to mental health diagnostics. In the Asia-Pacific region, the emotion detection & recognition market is witnessing rapid growth, fueled by the increasing adoption of artificial intelligence and biometric technologies. Countries such as China, Japan, and India are actively incorporating EDR solutions across diverse industries, including healthcare, entertainment, and retail. The region benefits from a tech-savvy population and a strong emphasis on enhancing user experiences through personalized interactions. In the EMEA region, the emotion detection & recognition market is experiencing notable growth, driven by the presence of a robust regulatory framework that addresses privacy concerns, fostering responsible adoption of EDR technologies. As businesses strive to enhance customer engagement and user experiences, the EMEA region remains a significant region in shaping the trajectory of the EDR market through technological innovation and ethical considerations.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Emotion Detection & Recognition Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Emotion Detection & Recognition Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Emotion Detection & Recognition Market, highlighting leading vendors and their innovative profiles. These include Affectiva, Inc. by Smart Eye AB, AffectLab by Entropik Technologies Private Limited, Apple Inc., Ayonix, Baidu, Inc., Behavioral Signal Technologies, Inc., Beijing Megvii Technology Co., Ltd., Brainasoft, Broadcom Inc., Cognitec Systems GmbH by SALTO Group, CoolTool Inc., Datagen, Element Human Limited, Emotibot, Emozo Labs Inc., Eyeris Technologies, Inc., Fujitsu Limited, Good Vibrations Company B.V., Google LLC by Alphabet Inc, GoVivace Inc., iFLYTEK Co., Ltd., Intel Corporation, International Business Machines Corporation, iSpeech, Inc., Kairos AR, Inc., Komprehend, LumenVox GmbH, Microsoft Corporation, MorphCast, N-TECH.LAB LTD, NEC Corporation, Noldus Information Technology BV, NVISO SA, pmdtechnologies AG by ifm electronic, Sensory, Inc., Sestek by Unifonic, Sightcorp by Raydiant, Inc., SkyBiometry, Speechmatics, Tobii AB, and Visage Technologies d.o.o..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Emotion Detection & Recognition Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Emotion Detection & Recognition Market?
3. What are the technology trends and regulatory frameworks in the Emotion Detection & Recognition Market?
4. What is the market share of the leading vendors in the Emotion Detection & Recognition Market?
5. Which modes and strategic moves are suitable for entering the Emotion Detection & Recognition Market?