![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1673875
°¨¼º ÄÄÇ»ÆÃ ½ÃÀå : ÄÄÆ÷³ÍÆ®º°, ±â¼úº°, ÃÖÁ¾ ¿ëµµ »ê¾÷º°, Áö¿ªº°Affective Computing Market, By Component, By Technology, By End-use Industry, By Geography |
¼¼°èÀÇ °¨¼º ÄÄÇ»ÆÃ ½ÃÀåÀº 2025³â¿¡ 809¾ï 6,000¸¸ ´Þ·¯·Î ÃßÁ¤µÇ¸ç, 2032³â¿¡´Â 3,755¾ï 6,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, 2025-2032³â ¿¬°£ Æò±Õ ¼ºÀå·ü(CAGR)Àº 24.5%·Î ¼ºÀåÇÒ Àü¸ÁÀÔ´Ï´Ù.
º¸°í ¹üÀ§ | º¸°í¼ »ó¼¼ ³»¿ë | ||
---|---|---|---|
±âÁØ¿¬µµ | 2024³â | 2025³â ½ÃÀå ±Ô¸ð | 809¾ï 6,000¸¸ ´Þ·¯ |
½ÇÀû µ¥ÀÌÅÍ | 2020-2024³â | ¿¹Ãø ±â°£ | 2025-2032³â |
¿¹Ãø ±â°£ : 2025-2032³â CAGR | 24.50% | 2032³â ±Ý¾× ¿¹Ãø | 3,755¾ï 6,000¸¸ ´Þ·¯ |
°¨¼º ÄÄÇ»ÆÃÀº ÀΰøÁö´É °úÇÐÀÇ ÇÑ ºÐ¾ß·Î, Àΰ£ÀÇ ¿µÇâÀ» ÀνÄ, ÀÌÇØ, ó¸®, ½Ã¹Ä·¹À̼ÇÇÒ ¼ö ÀÖ´Â ½Ã½ºÅÛÀÇ ¼³°è¸¦ ´Ù·ì´Ï´Ù. ÄÄÇ»ÅÍ °úÇÐ, ½É¸®ÇÐ, ÀÎÁö°úÇп¡ °ÉÄ£ ´ÙÇÐÁ¦Àû ºÐ¾ßÀÔ´Ï´Ù. ÀÌ ±â¼úÀº Àΰ£ÀÇ °¨Á¤À» ÀνÄÇϰí ÀÌ¿¡ ¹ÝÀÀÇÒ ¼ö ÀÖ´Â Àΰ£ Á᫐ ½Ã½ºÅÛÀ» °³¹ßÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Ç¥Á¤, ¸»Åõ, Á¦½ºÃ³, SNS °Ô½Ã¹°, »ý¸®Àû ½ÅÈ£ µî Àΰ£ÀÇ °¨Á¤ Ç¥½Ã¸¦ ½Ç½Ã°£À¸·Î ºÐ¼®ÇÕ´Ï´Ù. µö·¯´×°ú AIÀÇ ¹ßÀüÀ¸·Î Affective Computing ½Ã½ºÅÛÀº ´õ ³ôÀº Á¤È®µµ·Î Àΰ£ÀÇ °¨Á¤°ú ½É¸®¸¦ ±¤¹üÀ§ÇÏ°Ô °¨ÁöÇÒ ¼ö ÀÖµµ·Ï Á¤±³ÇØÁö°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¹ßÀüÀº ÀÇ·á, ±³À°, ÀÚµ¿Â÷, ¹Ìµð¾î, ¿£ÅÍÅ×ÀÎ¸ÕÆ® µî ´Ù¾çÇÑ ºÐ¾ß¿¡¼ ÀÌ ±â¼úÀÇ »õ·Î¿î ÀÀ¿ëÀ» ÃËÁøÇÒ °ÍÀ¸·Î ±â´ëµË´Ï´Ù.
¼¼°è °¨¼º ÄÄÇ»ÆÃ ½ÃÀåÀº Àΰ£ÈµÈ µðÁöÅÐ »óÈ£ ÀÛ¿ë°ú °æÇè¿¡ ´ëÇÑ ¿ä±¸°¡ Áõ°¡ÇÏ¸é¼ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. AI ±â¹Ý °¡»ó ºñ¼ ¹× 꺿ÀÇ µµÀÔÀÌ Áõ°¡ÇÔ¿¡ µû¶ó Àΰ£ÀÇ °¨Á¤À» ÀÌÇØÇÒ ¼ö ÀÖ´Â °¨¼º ÄÄÇ»ÆÃ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇϰí ÀÖ½À´Ï´Ù. ½ºÆ®·¹½º, ¸ôÀÔµµ, ±âŸ °¨Á¤ »óŸ¦ ÃøÁ¤Çϱâ À§ÇÑ »ýüÀÎ½Ä ¹× ¹ÙÀÌ¿À¼¾¼¸¦ ¼ÒºñÀÚ ÀüÀÚÁ¦Ç°¿¡ žÀçÇÏ´Â »ç·Ê°¡ Áõ°¡Çϰí ÀÖ´Â °Íµµ ½ÃÀå ¸ÅÃâÀ» ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù. ±×·¯³ª °íµµ·Î °³ÀÎÈµÈ µ¥ÀÌÅͼ¼Æ®°¡ Æ÷ÇԵǾî ÀÖÀ¸¹Ç·Î µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È¿¡ ´ëÇÑ ¿ì·Á°¡ ½ÃÀå ¼ºÀåÀ» ÀúÇØÇÏ´Â ¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù. °í±Þ °¨Á¤ °¨Áö¸¦ À§ÇØ ½Ã°¢, û°¢, ÅØ½ºÆ® ½ÅÈ£¸¦ ÅëÇÕÇÏ´Â ¸ÖƼ¸ð´Þ Á¢±Ù¹ýÀÇ °³¹ßÀº ½ÃÀå ÁøÃâ±â¾÷¿¡°Ô Å« ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù.
¼¼°èÀÇ °¨¼º ÄÄÇ»ÆÃ(Affective Computing) ½ÃÀåÀ» »ó¼¼ÇÏ°Ô ºÐ¼®ÇßÀ¸¸ç, 2024³âÀ» ±âÁØ ¿¬µµ·Î ÇÏ¿© ¿¹Ãø ±â°£(2025-2032³â) ½ÃÀå ±Ô¸ð¿Í ¿¬Æò±Õ ¼ºÀå·ü(CAGR)¿¡ ´ëÇØ Á¶»ç ºÐ¼®ÇÏ¿© ÀüÇØµå¸³´Ï´Ù.
¶ÇÇÑ ´Ù¾çÇÑ ºÎ¹®¿¡ °ÉÄ£ ÀáÀçÀû ¸ÅÃâ ±âȸ¸¦ ¹àÈ÷°í, ÀÌ ½ÃÀåÀÇ ¸Å·ÂÀûÀÎ ÅõÀÚ Á¦¾È ¸ÅÆ®¸¯½º¸¦ ¼³¸íÇÕ´Ï´Ù.
¶ÇÇÑ ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ, ¾ïÁ¦¿äÀÎ, ±âȸ, ½ÅÁ¦Ç° Ãâ½Ã ¹× ½ÂÀÎ, ½ÃÀå µ¿Çâ, Áö¿ªº° Àü¸Á, ÁÖ¿ä ±â¾÷ÀÇ °æÀï Àü·« µî¿¡ ´ëÇÑ ÁÖ¿ä ÀλçÀÌÆ®¸¦ Á¦°øÇÕ´Ï´Ù.
ÀÌ º¸°í¼´Â ¼¼°è °¨¼º ÄÄÇ»ÆÃ ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷À» ±â¾÷ ¼Ò°³, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÁÖ¿ä Æ¯Â¡, ¼º°ú, Àü·« µîÀÇ ¸Å°³º¯¼ö¸¦ ±â¹ÝÀ¸·Î ÇÁ·ÎÆÄÀϸµÇÕ´Ï´Ù.
º» Á¶»çÀÇ ´ë»óÀÌ µÇ´Â ÁÖ¿ä ±â¾÷Àº 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., Sony Depthsensing Solutions µîÀÌ ÀÖ½À´Ï´Ù.
ÀÌ º¸°í¼ÀÇ ÀλçÀÌÆ®¸¦ ÅëÇØ ¸¶ÄÉÆÃ ´ã´çÀÚ¿Í ±â¾÷ °æ¿µÁøÀº ÇâÈÄ Á¦Ç° Ãâ½Ã, À¯ÇüÈ, ½ÃÀå È®´ë, ¸¶ÄÉÆÃ Àü¼ú¿¡ ´ëÇÑ Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù.
ÀÌ º¸°í¼´Â ÅõÀÚÀÚ, °ø±Þ¾÷ü, Á¦Ç° Á¦Á¶¾÷ü, À¯Åë¾÷ü, ½Å±Ô ½ÃÀå ÁøÃâ±â¾÷, À繫 ºÐ¼®°¡ µî ÀÌ »ê¾÷ÀÇ ´Ù¾çÇÑ ÀÌÇØ°ü°èÀÚ¸¦ ´ë»óÀ¸·Î ÇÕ´Ï´Ù.
ÀÌÇØ°ü°èÀÚµéÀº ¼¼°è °¨¼º ÄÄÇ»ÆÃ ½ÃÀåÀ» ºÐ¼®ÇÒ ¶§ »ç¿ëµÇ´Â ´Ù¾çÇÑ Àü·« ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ÀÇ»ç°áÁ¤À» ½±°Ô ³»¸± ¼ö ÀÖ½À´Ï´Ù.
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.