市場調查報告書
商品編碼
1550701
情感運算市場:按組件、按技術、按最終用途行業、按地區Affective Computing Market, By Component, By Technology, By End-use Industry, By Geography |
預計2024年全球情感運算市場規模為650.2億美元,預計2031年將達2,988.7億美元,2024年至2031年複合年成長率為24.3%。
報告範圍 | 報告詳情 | ||
---|---|---|---|
基準年 | 2023年 | 2024年市場規模 | 650.2億美元 |
實際資料 | 2019年至2023年 | 預測期 | 從2024年到2031年 |
預測 2024-2031 年複合年成長率: | 24.30% | 2031年價值預測 | 2988.7億美元 |
情感運算是人工智慧科學的一個分支,涉及能夠識別、理解、處理和模擬人類情感的系統設計。它是一個跨越電腦科學、心理學和認知科學的跨學科領域。這項技術將在開發人性化的系統方面發揮關鍵作用,這些系統可以識別和回應人類情緒。即時分析人類情緒表現,包括臉部表情、言語、手勢、SNS 貼文和生理訊號。由於深度學習和人工智慧的進步,情感運算系統變得越來越複雜,能夠更準確地偵測各種人類情感和情緒。這一演變預計將推動該技術在各個領域的新應用,包括醫療保健、教育、汽車、媒體和娛樂。
全球情感運算市場是由對人性化數位互動和體驗日益成長的需求所推動的。業界擴大採用基於人工智慧的虛擬助理和聊天機器人,推動了對能夠理解人類情感的情感運算解決方案的需求激增。家用電器中擴大採用生物識別和生物感測器來測量壓力、參與度和其他情緒狀態,這也是推動市場收益的主要因素。然而,對資料隱私和安全的擔憂正在限制市場的成長,因為它涉及高度個人化的資料集。整合視覺、聽覺和文字訊號以進行高級情緒檢測的多模態方法的開發為公司提供了重大機會。
該報告對全球情感運算市場進行了詳細分析,並提供了以2023年為基準年的預測期(2024-2031年)的市場規模和年複合成長率(CAGR%)。
它還揭示了各個細分市場的潛在商機,並說明了該市場有吸引力的投資提案矩陣。
它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景、主要企業採取的競爭策略等的重要見解。
根據公司亮點、產品系列、主要亮點、績效和策略等參數對全球情感運算市場的主要企業進行了分析。
本研究涵蓋的主要企業包括 Affectiva Inc.、Amazon Web Services Inc.、Apple Inc.、Cognitec Systems、Elliptic Labs、Google Inc.、IBM Corporation、Intel Corporation、Kairos、Microsoft Corporation、nViso、PointGrab、Pyreos。和索尼深度感測解決方案。
該報告的見解使負責人和公司經營團隊能夠就未來的產品發布、類型升級、市場擴張和行銷策略做出明智的決策。
本研究報告針對該產業的各個相關人員,如投資者、供應商、產品製造商、經銷商、新進業者和財務分析師。
透過分析全球情感運算市場時所使用的各種策略矩陣,將有助於相關人員做出決策。
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.