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市場調查報告書
商品編碼
1673063
情緒檢測與識別 (EDR) 市場:按組件、按技術、按最終用戶、按地區Emotion Detection and Recognition (EDR) Market, By Component, By Technology, By End User, By Geography |
2025 年全球情緒偵測與辨識 (EDR) 市場規模估計為 593 億美元,預計到 2032 年將達到 2,089.3 億美元,2025 年至 2032 年的複合年成長率為 19.7%。
報告範圍 | 報告詳細資訊 | ||
---|---|---|---|
基準年 | 2024 | 2025年的市場規模 | 593億美元 |
效能資料 | 從2020年到2024年 | 預測期 | 2025年至2032年 |
預測期:2025-2032年複合年成長率: | 19.70% | 2032年價值預測 | 2089.3億美元 |
情緒檢測和識別 (EDR) 技術正變得越來越流行,因為它有助於分析人類的情緒和感受,從而改善人機互動。 EDR 利用機器學習演算法,分析臉部表情、語音、步態和肢體語言來辨識情緒。這將使我們能夠深入了解客戶情緒,評估他們的心理健康,並開發更直覺的虛擬助理和機器人。隨著數位化和物聯網的廣泛融合,檢測人類情緒的能力在各個領域變得越來越重要。由於多個行業擴大採用人工智慧和巨量資料分析等先進技術,全球情緒檢測和識別 (EDR) 技術市場預計將大幅成長。
全球情緒檢測和識別市場的成長受到人工智慧和巨量資料技術投資增加的推動。對個人化和直覺用戶體驗的日益成長的需求正在推動企業採用 EDR 解決方案。然而,與人類判斷相比,高開發成本和低準確度仍然是挑戰。年輕一代對情感人工智慧的接受度更高,這為市場相關人員創造了機會。醫療保健、汽車、高科技和娛樂等各行各業的使用案例正在推動需求。然而,資料隱私法規和對專業知識的需求阻礙了他們的發展。預計市場將增加對改進情緒檢測演算法和擴大使用案例的投資。
本研究報告對全球情緒檢測和識別市場進行了詳細分析,並提供了預測期(2025-2032)的市場規模和年複合成長率(CAGR%),假設 2024 年為基準年。
它還強調了各個領域的潛在商機,並說明了該市場的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、區域前景和主要企業採用的競爭策略的主要考察。
全球情緒偵測和識別市場的主要企業是根據公司亮點、產品系列、關鍵亮點、財務績效和策略等參數列出的。
研究涉及的主要企業包括 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。
全球情緒檢測和識別市場報告迎合了該行業的各個相關人員,例如投資者、供應商、產品製造商、經銷商、新進入者和金融分析師。
相關人員可以透過用於分析全球情緒檢測和識別市場的各種策略矩陣來簡化決策。
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.