![]() |
市場調查報告書
商品編碼
1673875
情感運算市場:依組件、技術、最終用途行業和地區Affective Computing Market, By Component, By Technology, By End-use Industry, By Geography |
估計到2025年全球情感運算市場規模將達到 809.6億美元,到2032年將達到 3,755.6億美元,2025-2032年的年複合成長率(CAGR)為 24.5%。
報告範圍 | 報告詳細資訊 | ||
---|---|---|---|
基準年 | 2024 | 2025年市場規模 | 809.6億美元 |
歷史資料 | 2020-2024 | 預測期 | 2025-2032 |
預測期:2025-2032年年複合成長率 | 24.50% | 2032年金額預測 | 3755.6億美元 |
情感運算是人工智慧科學的一個分支,包括能夠感知、理解、處理和模擬人類情感的系統設計。它是一個跨學科領域,涵蓋電腦科學、心理學和認知科學。這項技術將在開發能夠識別和回應人類情感的人性化的系統方面發揮關鍵作用。它即時分析人類的情緒指標,包括面部表情、語音、手勢、社交媒體貼文和生理訊號。由於深度學習和人工智慧的進步,情感運算系統變得更加複雜,可以更準確地檢測更廣泛的人類情感和情緒。預計這項發展將推動該技術在醫療保健、教育、汽車、媒體和娛樂等各個領域的新應用。
全球情感運算市場的發展受到人性化數位互動和體驗日益成長的需求的推動。各行各業擴大採用基於人工智慧的虛擬助理和聊天機器人,導致對能夠理解人類情感的情感運算解決方案的需求激增。家用電子電器產品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也是推動市場收益的一個主要因素。然而,由於包括高度個人化的資料集,對資料隱私和安全的擔憂抑制市場的成長。整合視覺、聽覺和文字訊號以實現高級情緒檢測的多模態方法的開發為參與企業提供了巨大的機會。
本報告對全球情感運算市場進行了詳細分析,並以2024年為基準年,給出了預測期(2025-2032年)的市場規模和年複合成長率(CAGR%)。
強調了各個領域的潛在商機,並說明了該市場的引人注目的投資提案矩陣。
提供關於市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景以及主要企業採用的競爭策略的主要考察。
全球情感運算市場的主要企業根據公司亮點、產品系列、關鍵亮點、財務績效和策略等參數進行分析。
研究中介紹的主要企業包括 Affectiva Inc.、Amazon Web Services Inc.、Apple Inc.、Cognitec Systems、Elliptic Labs、Google Inc.、IBM Corporation、Intel Corporation、Kairos、Microsoft Corporation、nViso、PointGrab、Pyreos、Qualcomm Inc. 和 Sony Depthsensing Solutions。
本報告的見解將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,包括投資者、供應商、產品製造商、經銷商、新進業者和財務分析師。
相關人員可以透過分析全球情感運算市場所使用的各種策略矩陣輕鬆做出決策。
Global Affective Computing Market is estimated to be valued at USD 80.96 Bn in 2025 and is expected to reach USD 375.56 Bn by 2032, growing at a compound annual growth rate (CAGR) of 24.5% from 2025 to 2032.
Report Coverage | Report Details | ||
---|---|---|---|
Base Year: | 2024 | Market Size in 2025: | USD 80.96 Bn |
Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
Forecast Period 2025 to 2032 CAGR: | 24.50% | 2032 Value Projection: | USD 375.56 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 (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 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.