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市场调查报告书
商品编码
1673063
情绪检测与识别 (EDR) 市场:按组件、按技术、按最终用户、按地区Emotion Detection and Recognition (EDR) Market, By Component, By Technology, By End User, By Geography |
2025 年全球情绪侦测与辨识 (EDR) 市场规模估计为 593 亿美元,预计到 2032 年将达到 2,089.3 亿美元,2025 年至 2032 年的复合年增长率为 19.7%。
报告范围 | 报告详细信息 | ||
---|---|---|---|
基准年 | 2024 | 2025年的市场规模 | 593亿美元 |
效能资料 | 从2020年到2024年 | 预测期 | 2025年至2032年 |
预测期:2025-2032年复合年增长率: | 19.70% | 2032年价值预测 | 2089.3亿美元 |
情绪检测和识别 (EDR) 技术正变得越来越流行,因为它有助于分析人类的情绪和感受,从而改善人机互动。 EDR 利用机器学习演算法,分析脸部表情、语音、步态和肢体语言来辨识情绪。这将使我们能够深入了解客户情绪,评估他们的心理健康,并开发更直观的虚拟助理和机器人。随着数位化和物联网的广泛融合,检测人类情绪的能力在各个领域变得越来越重要。由于多个行业越来越多地采用人工智慧和巨量资料分析等先进技术,全球情绪检测和识别 (EDR) 技术市场预计将大幅成长。
全球情绪检测和识别市场的成长受到人工智慧和巨量资料技术投资增加的推动。对个人化和直觉用户体验的日益增长的需求正在推动企业采用 EDR 解决方案。然而,与人类判断相比,高开发成本和低准确度仍然是挑战。年轻一代对情感人工智慧的接受度更高,这为市场相关人员创造了机会。医疗保健、汽车、高科技和娱乐等各行各业的使用案例正在推动需求。然而,资料隐私法规和对专业知识的需求阻碍了他们的发展。预计市场将增加对改进情绪检测演算法和扩大使用案例的投资。
本研究报告对全球情绪检测和识别市场进行了详细分析,并提供了预测期(2025-2032)的市场规模和年复合成长率(CAGR%),假设 2024 年为基准年。
它还强调了各个领域的潜在商机,并说明了该市场的有吸引力的投资提案矩阵。
它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景和主要企业采用的竞争策略的主要考察。
全球情绪侦测和识别市场的主要企业是根据公司亮点、产品系列、关键亮点、财务绩效和策略等参数列出的。
研究涉及的主要企业包括 Affectiva(Smart Eye 的子公司)、AIBM Watson、Beyond Verbal、EmoVu、Face++(Megvii Technology 的子公司)、Noldus Information Technology、Realeyes、Sension、Sensum、iMotions、Xpression、Neuro-Insight、Cognitec Systems、N核
本报告的见解将使负责人和公司经营团队能够就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。
全球情绪检测和识别市场报告迎合了该行业的各个相关人员,例如投资者、供应商、产品製造商、经销商、新进入者和金融分析师。
相关人员可以透过用于分析全球情绪检测和识别市场的各种策略矩阵来简化决策。
Global Emotion Detection and Recognition (EDR) Market is estimated to be valued at USD 59.30 Bn in 2025 and is expected to reach USD 208.93 Bn by 2032, growing at a compound annual growth rate (CAGR) of 19.7% from 2025 to 2032.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2024 | Market Size in 2025: | USD 59.30 Bn |
Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
Forecast Period 2025 to 2032 CAGR: | 19.70% | 2032 Value Projection: | USD 208.93 Bn |
Emotion detection and recognition (EDR) technology is gaining widespread popularity as it facilitates analyzing human emotions and feelings to improve human-computer interaction. By leveraging machine learning algorithms, EDR analyzes facial expressions, speech, gait, and body language to identify emotions. This enables gaining valuable insights into customer sentiments, assessing mental health conditions, and developing more intuitive virtual assistants and robots. With widespread digitization and IoT integration, the ability to detect human emotions is becoming increasingly important across various domains. The global Emotion detection and recognition (EDR) technology market is projected to grow substantially on account of rising deployment of advanced technologies like AI and big data analytics across multiple industries.
The global emotion detection and recognition market growth is driven by increasing investments in AI and big data technologies. Growing demand for personalized and intuitive user experiences has prompted organizations to incorporate EDR solutions. However, high costs of development and lower accuracy rates compared to human judgment remain key challenges. Younger demographics are more accepting of emotion AI, presenting opportunities for market players. Industry use cases spanning healthcare, automotive, ed-tech, entertainment are stimulating demand. Nonetheless, data privacy regulations and need for specialized expertise impose restraints. The market is expected to witness higher investments to improve emotion detection algorithms and expand use case applications.
This report provides in-depth analysis of the global emotion detection and recognition market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2025-2032), considering 2024 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
It profiles key players in the global emotion detection and recognition market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
Key companies covered as a part of this study include Affectiva (a subsidiary of Smart Eye), AIBM Watson, Beyond Verbal, EmoVu, Face++ (a part of Megvii Technology), Noldus Information Technology, Realeyes, Sension, Sensum, iMotions, Xpression, Neuro-Insight, Cognitec Systems, NuraLogix, and Hume AI
Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
The global emotion detection and recognition market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global emotion detection and recognition market.