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°¨Á¤ °¨Áö ¹× ÀνÄ(EDR) ½ÃÀå : ÄÄÆ÷³ÍÆ®º°, ±â¼úº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº°Emotion Detection and Recognition (EDR) Market, By Component, By Technology, By End User, By Geography |
¼¼°è °¨Á¤ °¨Áö ¹× ÀνÄ(EDR) ½ÃÀåÀº 2025³â 593¾ï ´Þ·¯, 2032³â¿¡´Â 2,089¾ï 3,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, 2025³âºÎÅÍ 2032³â±îÁö ¿¬Æò±Õ 19.7%ÀÇ ¼ºÀå·üÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
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±âÁØ ¿¬µµ | 2024³â | 2025³â ½ÃÀå ±Ô¸ð | 593¾ï ´Þ·¯ |
½ÇÀû µ¥ÀÌÅÍ | 2020-2024³â | ¿¹Ãø ±â°£ | 2025-2032³â |
¿¹Ãø ±â°£(2025-2032³â) CAGR | 19.70% | 2032³â °¡Ä¡ ¿¹Ãø | 2,089¾ï 3,000¸¸ ´Þ·¯ |
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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 | ||
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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.