市场调查报告书
商品编码
1550682
情绪侦测与识别市场:按组件、按技术、按最终用户、按地区Emotion Detection and Recognition Market, By Component, By Technology, By End User, By Geography |
预计2024年全球情绪侦测与辨识(EDR)市场规模为495.4亿美元,预计到2031年将达到1,728.3亿美元,2024年至2031年复合年增长率为19.5%。
报告范围 | 报告详情 | ||
---|---|---|---|
基准年 | 2023年 | 2024年市场规模 | 495.4亿美元 |
实际资料 | 2019年至2023年 | 预测期 | 从2024年到2031年 |
预测 2024-2031 年复合年增长率: | 19.50% | 2031年价值预测 | 1728.3亿美元 |
情绪检测和识别(EDR)技术已经变得广泛,因为它有助于分析人类情绪和感受以改善人机互动。透过利用机器学习演算法,EDR 分析面部表情、语音、步态和肢体语言来识别情绪。这使得获得对客户情绪的有价值的洞察、评估心理健康状况以及开发更直观的虚拟助理和机器人成为可能。随着数位化和物联网整合的广泛应用,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是由人工智慧和巨量资料技术投资的增加所推动的。对个人化和直觉的使用者体验不断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,开发成本高且准确性低仍然是问题。年轻人对情感AI的接受度更高,为市场相关人员创造了机会。各行业的使用案例正在推动需求,包括医疗保健、汽车、高科技和娱乐。然而,资料隐私法规和对专业知识的需求阻碍了他们。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。
该研究报告对全球情绪检测和识别市场进行了详细分析,并提供了以2023年为基准年的预测期(2024-2031年)的市场规模和年复合成长率(CAGR%)。
它还揭示了各个细分市场的潜在商机,并说明了该市场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、主要企业采取的竞争策略等的主要考察。
根据公司亮点、产品系列、主要亮点、绩效和策略等参数列出了全球情绪检测和识别市场中主要企业的概况。
本研究涵盖的主要企业包括 Affectiva(Smart Eye 子公司)、AIBM Watson、Beyond Verbal、EmoVu、Face++(旷视科技旗下)、Noldus Information Technology、Realeyes、Sension、Sensum、iMotions、Xpression、Neuro-Insight 、Cognitec Systems、NuraLogix 和Hume AI。
该报告的见解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针对该行业的各个相关人员,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。
透过用于分析全球情绪检测和识别市场的各种策略矩阵,将有助于相关人员做出决策。
The Global Emotion Detection and Recognition (EDR) Market is estimated to be valued at US$ 49.54 Bn in 2024 and is expected to reach US$ 172.83 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 19.5% from 2024 to 2031.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2023 | Market Size in 2024: | US$ 49.54 Bn |
Historical Data for: | 2019 To 2023 | Forecast Period: | 2024 To 2031 |
Forecast Period 2024 to 2031 CAGR: | 19.50% | 2031 Value Projection: | US$ 172.83 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 (2024-2031), considering 2023 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.