市場調查報告書
商品編碼
1550682
情緒偵測與識別市場:按組件、按技術、按最終用戶、按地區Emotion Detection and Recognition Market, By Component, By Technology, By End User, By Geography |
預計2024年全球情緒偵測與辨識(EDR)市場規模為495.4億美元,預計到2031年將達到1,728.3億美元,2024年至2031年複合年成長率為19.5%。
報告範圍 | 報告詳情 | ||
---|---|---|---|
基準年 | 2023年 | 2024年市場規模 | 495.4億美元 |
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: | 19.50% | 2031年價值預測 | 1728.3億美元 |
情緒檢測和識別(EDR)技術已經變得廣泛,因為它有助於分析人類情緒和感受以改善人機互動。透過利用機器學習演算法,EDR 分析面部表情、語音、步態和肢體語言來識別情緒。這使得獲得對客戶情緒的有價值的洞察、評估心理健康狀況以及開發更直覺的虛擬助理和機器人成為可能。隨著數位化和物聯網整合的廣泛應用,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是由人工智慧和巨量資料技術投資的增加所推動的。對個人化和直覺的使用者體驗不斷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,開發成本高且準確性低仍然是問題。年輕人對情感AI的接受度更高,為市場相關人員創造了機會。各行業的使用案例正在推動需求,包括醫療保健、汽車、高科技和娛樂。然而,資料隱私法規和對專業知識的需求阻礙了他們。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。
該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主要考察。
根據公司亮點、產品系列、主要亮點、績效和策略等參數列出了全球情緒檢測和識別市場中主要企業的概況。
本研究涵蓋的主要企業包括 Affectiva(Smart Eye 子公司)、AIBM Watson、Beyond Verbal、EmoVu、Face++(曠視科技旗下)、Noldus Information Technology、Realeyes、Sension、Sensum、iMotions、Xpression、Neuro-Insight 、Cognitec Systems、NuraLogix 和Hume AI。
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。
全球情緒檢測和識別市場報告針對該行業的各個相關人員,如投資者、供應商、產品製造商、經銷商、新進入者和金融分析師。
透過用於分析全球情緒檢測和識別市場的各種策略矩陣,將有助於相關人員做出決策。
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.