市场调查报告书
商品编码
1550701
情感运算市场:按组件、按技术、按最终用途行业、按地区Affective Computing Market, By Component, By Technology, By End-use Industry, By Geography |
预计2024年全球情感运算市场规模为650.2亿美元,预计2031年将达2,988.7亿美元,2024年至2031年复合年增长率为24.3%。
报告范围 | 报告详情 | ||
---|---|---|---|
基准年 | 2023年 | 2024年市场规模 | 650.2亿美元 |
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: | 24.30% | 2031年价值预测 | 2988.7亿美元 |
情感运算是人工智慧科学的一个分支,涉及能够识别、理解、处理和模拟人类情感的系统设计。它是一个跨越电脑科学、心理学和认知科学的跨学科领域。这项技术将在开发人性化的系统方面发挥关键作用,这些系统可以识别和回应人类情绪。即时分析人类情绪表现,包括脸部表情、言语、手势、SNS 贴文和生理讯号。由于深度学习和人工智慧的进步,情感运算系统变得越来越复杂,能够更准确地侦测各种人类情感和情绪。这一演变预计将推动该技术在各个领域的新应用,包括医疗保健、教育、汽车、媒体和娱乐。
全球情感运算市场是由对人性化数位互动和体验日益增长的需求所推动的。业界越来越多地采用基于人工智慧的虚拟助理和聊天机器人,推动了对能够理解人类情感的情感运算解决方案的需求激增。家用电器中越来越多地采用生物识别和生物感测器来测量压力、参与度和其他情绪状态,这也是推动市场收益的主要因素。然而,对资料隐私和安全的担忧正在限制市场的成长,因为它涉及高度个人化的资料集。整合视觉、听觉和文字讯号以进行高级情绪检测的多模态方法的开发为公司提供了重大机会。
该报告对全球情感运算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重要见解。
根据公司亮点、产品系列、主要亮点、绩效和策略等参数对全球情感运算市场的主要企业进行了分析。
本研究涵盖的主要企业包括 Affectiva Inc.、Amazon Web Services Inc.、Apple Inc.、Cognitec Systems、Elliptic Labs、Google Inc.、IBM Corporation、Intel Corporation、Kairos、Microsoft Corporation、nViso、PointGrab、Pyreos。和索尼深度感测解决方案。
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。
本研究报告针对该产业的各个相关人员,如投资者、供应商、产品製造商、经销商、新进业者和财务分析师。
透过分析全球情感运算市场时所使用的各种策略矩阵,将有助于相关人员做出决策。
The Global Affective Computing Market is estimated to be valued at US$ 65.02 Bn in 2024 and is expected to reach US$ 298.87 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 24.3% from 2024 to 2031.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2023 | Market Size in 2024: | US$ 65.02 Bn |
Historical Data for: | 2019 To 2023 | Forecast Period: | 2024 To 2031 |
Forecast Period 2024 to 2031 CAGR: | 24.30% | 2031 Value Projection: | US$ 298.87 Bn |
Affective computing is a branch of Artificial Intelligence sciences that deals with the design of systems that can recognize, understand, process and simulate human affects. It is an interdisciplinary field spanning computer sciences, psychology and cognitive science. The technology plays an important role in developing human-centric systems that can perceive and respond to human emotions. It analyzes human affect display like facial expressions, speech, gestures, posts on social networking sites and physiological signals in real time. With advancements in deep learning and AI, affective computing systems are becoming more sophisticated in detecting a wide range of human emotions and sentiments with higher accuracy. This evolution is expected to drive new applications of the technology across healthcare, education, automotive, media and entertainment among others.
The global affective computing market is driven by the growing need for humanized digital interactions and experiences. Rising adoption of AI-based virtual assistants and chatbots in industries is surging the demand for affective computing solutions that can comprehend human emotions. Increasing incorporation of biometrics and biosensors in consumer electronics for measuring stress, engagement and other affective states is another key factor fueling market revenues. However, concerns around data privacy and security due to involvement of highly personal datasets are restraining the market growth. Development of multimodal approaches integrating visual, auditory and textual signals for advanced emotion detection presents significant opportunities for players.
This report provides in-depth analysis of the global affective computing 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 affective computing 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 Inc., Amazon Web Services Inc., Apple Inc., Cognitec Systems, Elliptic Labs, Google Inc., IBM Corporation, Intel Corporation, Kairos, Microsoft Corporation, nViso, PointGrab, Pyreos, Qualcomm Inc., and Sony Depthsensing Solutions
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 affective computing 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 affective computing market.