½ÃÀ庸°í¼­
»óǰÄÚµå
1379876

¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå : »ê¾÷ ±Ô¸ð, Á¡À¯À², µ¿Çâ, ±âȸ, ¿¹Ãø, Á¦°ø Á¦Ç°º°, ¿ëµµº°, »ê¾÷º°, Áö¿ªº°, °æÀï»çº°(2018-2028³â)

Voice User Interface Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By Industry Vertical, By Region, and By Competition, 2018-2028

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: TechSci Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 181 Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º(VUI) ½ÃÀåÀº °ý¸ñÇÒ ¸¸ÇÑ ¼ºÀå°ú º¯È­¸¦ °ÅµìÇÏ¸ç °³ÀÎÀÌ ±â¼ú°ú ¼ÒÅëÇÏ´Â ¹æ½Ä¿¡ Çõ¸íÀ» ºÒ·¯ÀÏÀ¸Å°°í ÀÖ½À´Ï´Ù.

VUI´Â »ç¿ëÀÚ°¡ À½¼º ¾ð¾î¸¦ ÅëÇØ ±â±â ¹× ¿ëµµ°ú »óÈ£ ÀÛ¿ëÇÒ ¼ö ÀÖµµ·Ï ÇÏ¿© ÇÚÁîÇÁ¸® ¹× Á÷°üÀûÀÎ °æÇèÀ» Á¦°øÇÕ´Ï´Ù. ½ÃÀå ¿ìÀ§´Â ÀÚ¿¬¾î ó¸® ¹× À½¼º ÀνÄÀÇ ±Þ¼ÓÇÑ ±â¼ú ¹ßÀü, ½º¸¶Æ® ½ºÇÇÄ¿ ¹× À½¼º ÀÎ½Ä ÀåÄ¡ÀÇ º¸±Þ µî ÁÖ¿ä ÃËÁø¿äÀο¡ ÀÇÇØ µÞ¹ÞħµÇ°í ÀÖ½À´Ï´Ù. ¾Æ¸¶Á¸, ¾ÖÇÃ, ±¸±Û°ú °°Àº ´ëÇü ÇÏÀÌÅ×Å© ±â¾÷ÀÌ ¼±µÎ¿¡ ¼­¼­ Çõ½ÅÀ» ÁÖµµÇϰí VUI »ýŰ踦 È®ÀåÇϰí ÀÖ½À´Ï´Ù.

°¡»óºñ¼­°¡ žÀçµÈ ½º¸¶Æ® ½ºÇÇÄ¿´Â ´Ù¾çÇÑ ÀÛ¾÷°ú ½º¸¶Æ®È¨ Á¦¾îÀÇ Á᫐ Çãºê·Î¼­ ¼ÒºñÀڵ鿡°Ô ³Î¸® º¸±ÞµÇ°í ÀÖÀ¸¸ç, VUI´Â ½º¸¶Æ® ½ºÇÇÄ¿»Ó¸¸ ¾Æ´Ï¶ó ½º¸¶Æ®Æù, ÅÂºí¸´, ´ëÈ­Çü À½¼ºÀÀ´ä ½Ã½ºÅÛ, ´Ù¾çÇÑ À½¼º Á¦¾î ÀåÄ¡¿¡µµ Àû¿ëµÇ°í ÀÖ½À´Ï´Ù. ¿¡µµ Àû¿ëµÇ°í ÀÖ½À´Ï´Ù. °í°´ Âü¿© °­È­¿Í ¾÷¹« È¿À²È­¸¦ À§ÇØ VUI¸¦ Ȱ¿ëÇÏ´Â ±â¾÷ÀÌ ´Ã°í ÀÖÀ¸¸ç, ÇコÄɾî, ÀÚµ¿Â÷, À¯Åë µî ´Ù¾çÇÑ »ê¾÷¿¡¼­ ÇʼöÀûÀÎ ±â¼ú·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù.

±×·¯³ª À½¼º µ¥ÀÌÅÍ¿Í °ü·ÃµÈ ÇÁ¶óÀ̹ö½Ã ¹®Á¦¿Í À½¼º ÀνÄÀÇ Á¤È®µµ¸¦ Áö¼ÓÀûÀ¸·Î Çâ»ó½ÃÄÑ¾ß ÇÏ´Â µîÀÇ °úÁ¦µµ ³²¾ÆÀÖ½À´Ï´Ù. ±ÔÁ¦ ÇÁ·¹ÀÓ¿öÅ©´Â µ¥ÀÌÅÍ º¸È£ ¹× º¸¾È ¹®Á¦¸¦ ÇØ°áÇϰí Çõ½Å°ú »ç¿ëÀÚ ÇÁ¶óÀ̹ö½ÃÀÇ ±ÕÇüÀ» À¯ÁöÇϱâ À§ÇØ ÁøÈ­Çϰí ÀÖÀ¸¸ç, VUI ±â¼úÀÌ ¹ßÀüÇϰí ÀÏ»ó »ýȰ¿¡ ħÅõÇÔ¿¡ µû¶ó ¼¼°è VUI ½ÃÀåÀº Áö¼ÓÀûÀ¸·Î ¼ºÀåÇÏ°í ´Ù¾çÇÑ ÀÀ¿ë ºÐ¾ß¿Í »ê¾÷¿¡¼­ Àΰ£°ú ±â°è °£ÀÇ »óÈ£ÀÛ¿ëÀÇ ¹Ì·¡¸¦ Çü¼ºÇÒ Áغñ°¡ µÇ¾î ÀÖ½À´Ï´Ù. ´Ù¾çÇÑ ¿ëµµ¿Í »ê¾÷¿¡¼­ Àΰ£°ú ±â°èÀÇ »óÈ£ÀÛ¿ëÀÇ ¹Ì·¡¸¦ Çü¼ºÇÒ Áغñ°¡ µÇ¾î ÀÖ½À´Ï´Ù.

½ÃÀå °³¿ä
¿¹Ãø ±â°£ 2024³â-2028³â
2022³â ½ÃÀå ±Ô¸ð 175¾ï 6,000¸¸ ´Þ·¯
2028³â ½ÃÀå ±Ô¸ð 567¾ï 7,000¸¸ ´Þ·¯
CAGR 2023-2028³â 21.42%
±Þ¼ºÀå ºÎ¹® ½º¸¶Æ®½ºÇÇÄ¿
ÃÖ´ë ½ÃÀå ºÏ¹Ì

½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ

½º¸¶Æ® ±â±â º¸±Þ°ú IoTÀÇ ÅëÇÕ

¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º(VUI) ½ÃÀåÀ» À̲ô´Â ÁÖ¿ä ¿äÀÎ Áß Çϳª´Â ½º¸¶Æ® ±â±âÀÇ º¸±Þ°ú »ç¹°ÀÎÅͳÝ(IoT) »ýŰ迡 VUI ±â¼úÀÇ ÅëÇÕÀÔ´Ï´Ù. ½º¸¶Æ®Æù, ½º¸¶Æ® ½ºÇÇÄ¿, Ä¿³ØÆ¼µå ±â±â, ¿þ¾î·¯ºí, ÀÚµ¿Â÷ ÀÎÆ÷Å×ÀÎ¸ÕÆ® ½Ã½ºÅÛ µîÀº ÇöÀç À½¼ºÀ¸·Î ÀÛµ¿µÇ´Â ±â±â Áß ÀϺο¡ ºÒ°úÇϸç, VUI¸¦ ÅëÇØ »ç¿ëÀÚ¿Í ÀÌ·¯ÇÑ ±â±â °£ÀÇ ¿øÈ°ÇÑ »óÈ£ ÀÛ¿ëÀ» ÅëÇØ »ç¿ëÀÚÀÇ ÆíÀǼº°ú »ý»ê¼ºÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ÆíÀǼº°ú »ý»ê¼ºÀ» Çâ»ó½Ãŵ´Ï´Ù.

»ç¿ëÀÚ °æÇè ¹× Á¢±Ù¼º °³¼±

VUI´Â ´Ù¾çÇÑ ÀÀ¿ë ºÐ¾ß¿¡¼­ º¸´Ù ¸ôÀÔ°¨ ÀÖ°í Á¢±Ù °¡´ÉÇÑ »ç¿ëÀÚ °æÇè¿¡ ±â¿©Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÀÎÅÍÆäÀ̽º´Â »ç¿ëÀÚ¿¡°Ô º¸´Ù ÀÚ¿¬½º·´°í Á÷°üÀûÀÎ ±â¼ú°úÀÇ »óÈ£ ÀÛ¿ë ¹æ½ÄÀ» Á¦°øÇÏ¿© ¼öµ¿ ÀÔ·ÂÀÇ Çʿ伺À» ¾ø¾Ö°í º¹ÀâÇÑ ÀÛ¾÷À» ´Ü¼øÈ­ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ »ç¿ëÀÚ °æÇèÀÇ °³¼±Àº °Åµ¿ÀÌ ºÒÆíÇϰųª ½Ã°¢ Àå¾Ö°¡ ÀÖ´Â Àå¾ÖÀε鿡°Ôµµ À½¼º ÀÛµ¿ ±â¼úÀÇ ÇýÅÃÀ» Á¦°øÇÕ´Ï´Ù.

ÇコÄÉ¾î ºÐ¾ß¿¡¼­ VUI´Â À½¼ºÀ¸·Î Á¦¾îµÇ´Â ÀÇ·á±â±â ¹× ¿ëµµ¸¦ °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á ȯÀÚÀÇ Á¢±Ù¼ºÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù. ÀÚµ¿Â÷ »ê¾÷¿¡¼­´Â ÇÚÁîÇÁ¸® VUI°¡ »ê¸¸ÇÔÀ» ÁÙÀ̰í Â÷·® ³» ½Ã½ºÅÛ°úÀÇ ¾ÈÀüÇÑ »óÈ£ ÀÛ¿ëÀ» ÃËÁøÇÏ¿© ¿îÀüÀÚÀÇ ¾ÈÀü¼ºÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù. ¾÷°è°¡ »ç¿ëÀÚ °æÇè°ú Æ÷¿ë¼ºÀ» ¿ì¼±½ÃÇÏ´Â °¡¿îµ¥, VUI´Â ´õ ¸¹Àº »ç¶÷µéÀÌ ±â¼ú¿¡ Á¢±ÙÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â µ¥ ÀÖ¾î ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù.

ÀÚ¿¬¾îó¸®(NLP) ¹× ¸Ó½Å·¯´×ÀÇ ¹ßÀü

ÀÚ¿¬¾î ó¸®(NLP)¿Í ¸Ó½Å·¯´× ±â¼úÀÇ ¹ßÀüÀº VUI ½ÃÀåÀÇ ¼ºÀåÀ» °¡¼ÓÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¹ßÀüÀº VUI ½Ã½ºÅÛÀÌ Àΰ£ÀÇ À½¼ºÀ» ´õ Àß ÀÌÇØÇϰí ÇØ¼®ÇÒ ¼ö ÀÖµµ·Ï ÇÏ¿© »óÈ£ ÀÛ¿ëÀ» º¸´Ù Á÷°üÀûÀÌ°í ¸Æ¶ô¿¡ ¸Â°Ô ¸¸µé¸ç, NLP ¾Ë°í¸®ÁòÀº À½¼º ÀνÄÀÇ Á¤È®µµ¿Í º¹ÀâÇÑ ¾ð¾î ±¸Á¶¸¦ ÀÌÇØÇÏ´Â ´É·ÂÀ» Áö¼ÓÀûÀ¸·Î Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù.

Á¤±³ÇÑ NLP ¸ðµ¨À» °®Ãá ´ëÈ­Çü AI´Â VUI°¡ »ç¿ëÀÚ¿Í º¸´Ù ¿ªµ¿ÀûÀÌ°í ¸Æ¶ô¿¡ ¸Â´Â ´ëÈ­¸¦ ÇÒ ¼ö ÀÖ°Ô ÇÕ´Ï´Ù. ¸í·É ±â¹Ý ´ëÈ­¿¡¼­ ÀÚ¿¬¾î ´ëÈ­·ÎÀÇ ÁøÈ­´Â ƯÈ÷ °í°´ ¼­ºñ½º ¹× ÀÀ¿ë ºÐ¾ß¿¡¼­ »ç¿ëÀÚ ¸¸Á·µµ¿Í »ý»ê¼ºÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù.

¶ÇÇÑ, ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀº °³ÀÎÈ­ ¹× »ç¿ëÀÚ Çൿ ºÐ¼®¿¡ Ȱ¿ëµÇ°í ÀÖÀ¸¸ç, VUI´Â °³º° »ç¿ëÀÚÀÇ ÃëÇâ¿¡ ¸ÂÃß¾î ¸ÂÃãÇü ¹ÝÀÀ°ú ÃßõÀ» Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¹ßÀüÀº »ç¿ëÀÚ °æÇèÀ» Çâ»ó½Ãų »Ó¸¸ ¾Æ´Ï¶ó ´Ù¾çÇÑ ÀÀ¿ë ºÐ¾ß¿¡¼­ VUIÀÇ °¡Ä¡¸¦ ³ôÀ̰í ÀÖ½À´Ï´Ù.

¹öÃß¾ó ¾î½Ã½ºÅÏÆ®¿Í 꺿ÀÇ ¼ºÀå

°¡»ó ºñ¼­ ¹× 꺿ÀÇ º¸±ÞÀº VUI ½ÃÀåÀÇ Áß¿äÇÑ ÃËÁø¿äÀÎÀ¸·Î, ¾Æ¸¶Á¸ÀÇ Alexa, ¾ÖÇÃÀÇ Siri, ±¸±Û ¾î½Ã½ºÅÏÆ®¿Í °°Àº °¡»ó ºñ¼­´Â ¼ÒºñÀÚÀÇ ÀÏ»ó »ýȰ¿¡ ¾ø¾î¼­´Â ¾È µÉ Á¸Àç°¡ µÇ¾ú½À´Ï´Ù. ±×µéÀº Á¤º¸¿¡ ´ëÇÑ ºü¸¥ ¾×¼¼½º¸¦ Á¦°øÇϰí, ÀÛ¾÷À» Áö¿øÇϰí, ½º¸¶Æ® Ȩ ±â±â¸¦ Á¦¾îÇϰí, À½¼º ´ëÈ­¸¦ ÅëÇØ »ç¿ëÀÚ¸¦ Áñ°Ì°Ô ÇØÁÝ´Ï´Ù.

ºñÁî´Ï½º ¹× °í°´ ¼­ºñ½º ¹× ¿ëµµ¿¡¼­ VUI ±â´ÉÀ» °®Ãá 꺿Àº »óÈ£ ÀÛ¿ëÀ» ÀÚµ¿È­ÇÏ°í °í°´¿¡°Ô Áï°¢ÀûÀÎ Áö¿øÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ·¯ÇÑ AI ±â¹Ý 꺿Àº °í°´ ¹®ÀǸ¦ ÀÌÇØÇÏ°í ´ëÀÀÇϸç, Á¤ÇüÈ­µÈ ÀÛ¾÷À» ó¸®Çϰí, °³ÀÎÈ­µÈ ÃßõÀ» Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù.

°¡»óºñ¼­¿Í 꺿ÀÌ °è¼Ó ÁøÈ­Çϸ鼭 ÇコÄɾî, ÀüÀÚ»ó°Å·¡, ±ÝÀ¶, ±³À° µî ´Ù¾çÇÑ »ê¾÷À¸·Î ±× ¹üÀ§¸¦ ³ÐÇô°¡°í ÀÖ½À´Ï´Ù. À½¼º ¸í·ÉÀ» ó¸®Çϰí ÀÚ¿¬¾î·Î ´ëÈ­ÇÒ ¼ö ÀÖ´Â ´É·ÂÀ¸·Î ÀÎÇØ VUI ±â¼úÀº Á¡Á¡ ´õ Áß¿äÇØÁö°í ÀÖ½À´Ï´Ù.

»ê¾÷º° Ưȭ ¿ëµµ ¹× »ý»ê¼º Çâ»ó

VUI´Â ´Ù¾çÇÑ »ê¾÷º° ¿ëµµ¿¡¼­ »ý»ê¼º Çâ»ó°ú È¿À²À» ³ôÀ̰í ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î, ÀÇ·á ºÐ¾ß¿¡¼­´Â À½¼ºÀ¸·Î Á¦¾îµÇ´Â ÀÇ·á±â±â ¹× ÀüÀÚ ÀÇ·á ±â·Ï(EHR) ½Ã½ºÅÛÀÌ ÀÓ»ó ¿öÅ©Ç÷ο츦 °£¼ÒÈ­ÇÏ¿© ÀÇ·áÁøÀÇ °ü¸® ºÎ´ãÀ» ÁÙÀ̰í ȯÀÚ Ä¡·á¸¦ °³¼±Çϰí ÀÖ½À´Ï´Ù. À½¼º ÀÎ½Ä ³ìÃë ¼­ºñ½ºµµ ÀÇ·á ¹®¼­ÀÇ Á¤È®¼º°ú ¼Óµµ¸¦ ³ôÀ̰í ÀÖ½À´Ï´Ù.

Á¦Á¶ ¹× ¹°·ù ºÐ¾ß¿¡¼­´Â VUI°¡ ÇÚÁîÇÁ¸® Àç°í °ü¸®, ÁÖ¹® ÇÇÅ· ¹× À¯Áöº¸¼ö ÀÛ¾÷¿¡ »ç¿ëµË´Ï´Ù. ÇöÀå ¼­ºñ½º ÀÛ¾÷ÀÚ´Â À½¼º ¸í·ÉÀ» »ç¿ëÇÏ¿© ÇöÀå¿¡¼­ Àåºñ ¸Å´º¾ó¿¡ ¾×¼¼½ºÇÏ°í °Ë»ç °á°ú¸¦ ±â·ÏÇÒ ¼ö ÀÖ¾î È¿À²¼º°ú Á¤È®¼ºÀ» ³ôÀÏ ¼ö ÀÖ½À´Ï´Ù.

¶ÇÇÑ, VUI´Â ±³À° ¹× ÈÆ·Ã¿¡ ´ëÇÑ Á¤º¸ Á¢±Ù¼ºÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù. Çлý°ú Àü¹®°¡´Â À½¼º °Ë»ö°ú ´ëÈ­Çü Æ©Å丮¾óÀ» ÅëÇØ ±³À° ÄÁÅÙÃ÷¿Í ±â¼ú °³¹ß ¸®¼Ò½º¿¡ Á¢±ÙÇÒ ¼ö ÀÖ½À´Ï´Ù.

»ê¾÷º° ¿ëµµ¿¡¼­ VUI ±â¼úÀÇ Ã¤ÅÃÀº »ý»ê¼º Çâ»ó, ºñ¿ë Àý°¨, »ç¿ëÀÚ °æÇè °³¼±ÀÇ ÀáÀç·Â¿¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. ´õ ¸¹Àº ±â¾÷µéÀÌ ÀÌ·¯ÇÑ ÀÌÁ¡À» ÀνÄÇÔ¿¡ µû¶ó VUI Áö¿ø ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä´Â ´Ù¾çÇÑ ºÐ¾ß¿¡¼­ Áö¼ÓÀûÀ¸·Î Áõ°¡Çϰí ÀÖ½À´Ï´Ù.

ÁÖ¿ä ½ÃÀå °úÁ¦

À½¼º ÀνÄÀÇ Á¤È®µµ¿Í ½Å·Ú¼º

¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º(VUI) ½ÃÀåÀÌ Á÷¸éÇÑ ÁÖ¿ä °úÁ¦ Áß Çϳª´Â À½¼º ÀÎ½Ä ±â¼úÀÇ Á¤È®¼º°ú ½Å·Ú¼ºÀ» È®º¸ÇÏ´Â °Í. VUI´Â ÀÚ¿¬¾î¸¦ ÀÌÇØÇϰí ó¸®ÇÏ´Â µ¥ Å« ÁøÀüÀ» ÀÌ·ðÁö¸¸, ´Ù¾çÇÑ ¾ï¾ç, ¹æ¾ð ¹× À½¼º ÆÐÅÏÀ» Á¤È®ÇÏ°Ô ÀνÄÇϰí ÇØ¼®ÇÏ´Â µ¥ ¿©ÀüÈ÷ ¾î·Á¿òÀ» °Þ°í ÀÖ½À´Ï´Ù. ¾î·Á¿òÀ» °Þ½À´Ï´Ù. ÀÌ ¹®Á¦´Â ¹è°æ ÀâÀ½, ¸í·áµµ Â÷ÀÌ, ¾ð¾îÀû ´µ¾Ó½º Â÷ÀÌ·Î ÀÎÇØ ´õ¿í ½É°¢ÇØÁý´Ï´Ù.

ÀÌ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇØ VUI °³¹ßÀÚµéÀº ¸Ó½Å·¯´× ¾Ë°í¸®Áò°ú ½ÉÃþ ½Å°æ¸ÁÀ» Ȱ¿ëÇÏ¿© À½¼º ÀÎ½Ä Á¤È®µµ¸¦ Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù. ±×·¯³ª ¸ðµç »ç¿ëÀÚ¿Í ¸Æ¶ô¿¡¼­ ÀϰüµÇ°í ¿Ïº®¿¡ °¡±î¿î ÀνÄÀ» ´Þ¼ºÇÏ´Â °ÍÀº ¿©ÀüÈ÷ º¹ÀâÇÑ ¹®Á¦ÀÔ´Ï´Ù. ¶ÇÇÑ, ÀÎ½Ä ¾Ë°í¸®ÁòÀ» Çâ»ó½Ã۱â À§ÇØ À½¼º µ¥ÀÌÅ͸¦ ¼öÁýÇÏ°í ºÐ¼®Çϱ⠶§¹®¿¡ ÇÁ¶óÀ̹ö½Ã ¹®Á¦°¡ ¹ß»ýÇÒ ¼ö ÀÖÀ¸¸ç, Åõ¸íÇÑ µ¥ÀÌÅÍ Ã³¸® °üÇà°ú °­·ÂÇÑ º¸¾È Á¶Ä¡°¡ ÇÊ¿äÇÕ´Ï´Ù.

ÇÁ¶óÀ̹ö½Ã ¹× µ¥ÀÌÅÍ º¸¾È ¹®Á¦

°³ÀÎ Á¤º¸ º¸È£¿Í µ¥ÀÌÅÍ º¸¾ÈÀº VUI ½ÃÀå¿¡¼­ °¡Àå Áß¿äÇÑ °ü½É»çÀ̸ç, VUI ±â±â ¹× Ç÷§Æû¿¡¼­ ¼öÁýÇÑ À½¼º µ¥ÀÌÅÍ¿¡´Â °³ÀÎÀ» ½Äº°ÇÒ ¼ö ÀÖ´Â ±â¹Ð Á¤º¸°¡ Æ÷Ç﵃ ¼ö ÀÖ½À´Ï´Ù. »ç¿ëÀÚµéÀº ÀÚ½ÅÀÇ À½¼º µ¥ÀÌÅͰ¡ ¾î¶»°Ô ÀúÀå, ó¸®, °øÀ¯µÇ´ÂÁö Á¡Á¡ ´õ °æ°èÇϰí ÀÖ½À´Ï´Ù. À½¼º µ¥ÀÌÅÍ Ä§ÇØ ¹× ¹«´Ü ¾×¼¼½º¿Í °ü·ÃµÈ À¯¸íÇÑ »ç°ÇÀ¸·Î ÀÎÇØ À½¼º ºñ¼­ ¹× ±âŸ VUI ½Ã½ºÅÛÀÇ º¸¾È¿¡ ´ëÇÑ ¿ì·Á°¡ Ä¿Áö°í ÀÖ½À´Ï´Ù.

À¯·´¿¡¼­´Â ÀÏ¹Ý µ¥ÀÌÅÍ º¸È£ ±ÔÁ¤(GDPR), ¹Ì±¹¿¡¼­´Â ͏®Æ÷´Ï¾Æ ¼ÒºñÀÚ °³ÀÎÁ¤º¸ º¸È£¹ý(CCPA)°ú °°Àº µ¥ÀÌÅÍ º¸È£¹ýÀÌ VUI Á¦°ø¾÷ü¿¡ ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±ÔÁ¦¸¦ ÁؼöÇϱâ À§Çؼ­´Â °­·ÂÇÑ ¾Ïȣȭ, ¾ÈÀüÇÑ µ¥ÀÌÅÍ ÀúÀå °üÇà, Åõ¸íÇÑ µ¥ÀÌÅÍ »ç¿ë Á¤Ã¥ÀÌ ÇÊ¿äÇÕ´Ï´Ù. ¶ÇÇÑ, VUI °³¹ßÀÚ´Â »ç¿ëÀÚ µ¿ÀÇ, µ¥ÀÌÅÍ À͸íÈ­, ³ìÀ½ »èÁ¦ ¿É¼Ç µî »ç¿ëÀÚ°¡ ÀÚ½ÅÀÇ À½¼º µ¥ÀÌÅ͸¦ Á¦¾îÇÒ ¼ö ÀÖ´Â ±â´ÉÀ» ¿ì¼±½ÃÇØ¾ß ÇÕ´Ï´Ù.

ÁÖº¯ ¼ÒÀ½°ú ȯ°æ º¯È­ÀÇ ±Øº¹

VUI ½ÃÀåÀÌ Á÷¸éÇÑ ¶Ç ´Ù¸¥ Áß¿äÇÑ °úÁ¦´Â ¼ÒÀ½ÀÌ ¸¹°í µ¿ÀûÀ¸·Î º¯È­Çϴ ȯ°æ¿¡¼­ È¿°úÀûÀ¸·Î ÀÛµ¿ÇÒ ¼ö ÀÖ´Â ´É·ÂÀ¸·Î, VUI ±â±â´Â °¡Á¤, »ç¹«½Ç, ÀÚµ¿Â÷, °ø°øÀå¼Ò µî ´Ù¾çÇÑ È¯°æ¿¡¼­ »ç¿ëµÇ´Â °æ¿ì°¡ ¸¹½À´Ï´Ù. ÁÖº¯ ¼ÒÀ½, °£¼· ¹× ¹è°æ ¼ÒÀ½ÀÌ À½¼º ÀνÄÀ» ¹æÇØÇÏ°í »ç¿ëÀÚ ¸í·ÉÀ» À߸ø ÇØ¼®ÇÒ ¼ö ÀÖ½À´Ï´Ù.

°³¹ßÀÚµéÀº °í±Þ ³ëÀÌÁî ĵ½½¸µ ¾Ë°í¸®Áò°ú ¿ø°Å¸® ¸¶ÀÌÅ© ±â¼úÀ» VUI ±â±â¿¡ ±¸ÇöÇÏ¿© ÀÌ·¯ÇÑ ¹®Á¦¸¦ ¿ÏÈ­Çϱâ À§ÇØ ³ë·ÂÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¸Ó½Å·¯´× ¸ðµ¨Àº ´Ù¾çÇÑ À½Çâ ȯ°æ¿¡ ÀûÀÀÇÒ ¼ö ÀÖµµ·Ï ÈÆ·ÃµÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¼Ö·ç¼ÇÀº VUIÀÇ ¼º´ÉÀ» Çâ»ó½Ã۰í ÀÖÁö¸¸, ȯ°æ º¯È­ÀÇ ¸ðµç ¿µ¿ª¿¡ ´ëÀÀÇÏ´Â °ÍÀº ¿©ÀüÈ÷ Áö¼ÓÀûÀÎ °úÁ¦ÀÔ´Ï´Ù.

´Ù±¹¾î ¹× Ÿ¹®È­ ÀûÀÀ

VUI ½ÃÀåÀº º»ÁúÀûÀ¸·Î ¼¼°è ½ÃÀåÀ̸ç, VUI ½Ã½ºÅÛÀº ´Ù±¹¾î ¹× ¹®È­Àû ÀûÀÀ¼ºÀÌ ¿ä±¸µË´Ï´Ù. ÀÌ´Â À½¼º ÀÎ½Ä ¾Ë°í¸®ÁòÀÌ ´Ù¾çÇÑ ¾ð¾î, ¹æ¾ð, ¹®È­Àû ¹è°æÀ» °í·ÁÇØ¾ß Çϱ⠶§¹®¿¡ ¾î·Á¿î °úÁ¦ÀÔ´Ï´Ù. °¢ ¾ð¾î¸¶´Ù °íÀ¯ÇÑ ¹®¹ý ±ÔÄ¢, ±¸¹®, ¹ßÀ½ÀÇ ´µ¾Ó½º°¡ Àֱ⠶§¹®¿¡ ´Ù±¹¾î·Î ¿øÈ°ÇÑ Ä¿¹Â´ÏÄÉÀ̼ÇÀ» º¸ÀåÇÏ´Â °ÍÀº º¹ÀâÇÕ´Ï´Ù.

°³¹ßÀÚµéÀº VUIÀÇ ÀûÀÀ¼ºÀ» ³ôÀ̱â À§ÇØ ´Ù¾çÇÑ ¹®È­ ¹× ´Ù±¹¾î ÈÆ·Ã µ¥ÀÌÅÍ¿¡ ÅõÀÚÇϰí ÀÖ½À´Ï´Ù. ¿©±â¿¡´Â ´Ù¾çÇÑ ¾ð¾î ÀÔ·ÂÀ» ó¸®Çϱâ À§ÇÑ ÀÚ¿¬¾î ó¸®(NLP) ¸ðµ¨ÀÇ Áö¼ÓÀûÀÎ °³¼±ÀÌ Æ÷ÇԵ˴ϴÙ. ±×·¯³ª ¸ðµç ¾ð¾î¿Í ¹®È­±Ç¿¡¼­ µ¿µîÇÑ Á¤È®µµ¿Í ¼º´ÉÀ» ´Þ¼ºÇÏ´Â °ÍÀº Áö¼ÓÀûÀÎ ¿¬±¸ °³¹ß ³ë·ÂÀÌ ÇÊ¿äÇÑ ¾î·Á¿î °úÁ¦ÀÔ´Ï´Ù.

À½¼º ÀÎÁõ ¹× º¸¾È

VUI ½Ã½ºÅÛÀÌ ÀÏ»ó »ýȰ°ú ¹ðÅ·, ÇコÄɾî¿Í °°Àº Áß¿äÇÑ ¿ëµµ¿¡ ÅëÇյʿ¡ µû¶ó À½¼º ÀÎÁõ°ú º¸¾È ¹®Á¦°¡ °¡Àå Áß¿äÇÑ À̽´·Î ¶°¿À¸£°í ÀÖ½À´Ï´Ù. À½¼º ¸í·É°ú »ç¿ëÀÚ ½Å¿øÀÇ Á¤´ç¼ºÀ» º¸ÀåÇÏ´Â °ÍÀº ¹«´Ü ¾×¼¼½º¿Í »ç±â¸¦ ¹æÁöÇÏ´Â µ¥ ÇʼöÀûÀÔ´Ï´Ù.

°³¹ßÀÚµéÀº º¸¾ÈÀ» °­È­Çϱâ À§ÇØ À½¼º Àνİú °°Àº »ýüÀÎ½Ä ÀÎÁõ ¹æ¹ýÀ» ¸ð»öÇϰí ÀÖ½À´Ï´Ù. ÇÏÁö¸¸ ÀÌ´Â ÀáÀçÀûÀÎ Ãë¾àÁ¡°ú ½ºÇªÇÎ °ø°Ý¿¡ ´ëÇÑ ¿ì·Á¸¦ ºÒ·¯ÀÏÀ¸Åµ´Ï´Ù. À½¼º ÀÎÁõ ½Ã½ºÅÛÀÇ »ç¿ë ÆíÀǼº°ú º¸¾ÈÀÇ ÀûÀýÇÑ ±ÕÇüÀ» ¸ÂÃß´Â °ÍÀº ÇöÀç ÁøÇà ÁßÀÎ °úÁ¦ÀÔ´Ï´Ù.

¶ÇÇÑ, À½¼º ÀÎÁõÀ» µÑ·¯½Ñ ±ÔÁ¦ ȯ°æÀº ÁøÈ­Çϰí ÀÖÀ¸¸ç, °­·ÂÇÑ ÀÎÁõ ¸ÞÄ¿´ÏÁò°ú »ç¿ëÀÚ µ¿ÀǸ¦ ¿ä±¸Çϰí ÀÖÀ¸¸ç, VUI Á¦°ø¾÷ü´Â »ç¿ëÀÚ Ä£È­ÀûÀÌ°í ¾ÈÀüÇÑ ÀÎÁõ ¼Ö·ç¼ÇÀ» Á¦°øÇϸ鼭 ÀÌ·¯ÇÑ ±ÔÁ¦ ÇÁ·¹ÀÓ¿öÅ©¸¦ Àß ±Øº¹ÇØ¾ß ÇÕ´Ï´Ù.

ÁÖ¿ä ½ÃÀå µ¿Çâ

ÇÚÁîÇÁ¸® ¹× ¸ÖƼ¸ð´Þ ÀÎÅÍ·¢¼Ç¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡

¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º(VUI) ½ÃÀåÀº ÇÚÁîÇÁ¸®¿Í ¸ÖƼ¸ð´Þ ÀÎÅÍ·¢¼Ç¿¡ ´ëÇÑ Å« È帧À» ¸ñ°ÝÇϰí ÀÖ½À´Ï´Ù. ½º¸¶Æ® ½ºÇÇÄ¿, À½¼ºÀÎ½Ä ½º¸¶Æ®Æù, ¿þ¾î·¯ºí ±â±âÀÇ º¸±Þ°ú ÇÔ²² ¼ÒºñÀÚµéÀº Á¡Á¡ ´õ ¸Å²ô·´°í Á÷°üÀûÀÎ ¹æ½ÄÀ¸·Î ±â¼ú°ú »óÈ£ ÀÛ¿ëÇÒ ¼ö ÀÖ´Â ¹æ¹ýÀ» ¿øÇϰí ÀÖ½À´Ï´Ù. ÇÚÁîÇÁ¸® VUI´Â »ç¿ëÀÚ°¡ ¹°¸®ÀûÀÎ Á¢ÃË ¾øÀ̵µ ±â±â¸¦ Á¶ÀÛÇϰí, Á¤º¸¿¡ Á¢±ÙÇϰí, ÀÛ¾÷À» ¼öÇàÇÒ ¼ö ÀÖ°Ô ÇØÁÖ¸ç, ¿îÀü ÁßÀ̳ª ¿ä¸® Áß°ú °°ÀÌ ¼öµ¿ Á¶ÀÛÀÌ Çö½ÇÀûÀÌÁö ¾Ê°Å³ª ¾ÈÀüÇÏÁö ¾ÊÀº »óȲ¿¡¼­ ƯÈ÷ À¯¿ëÇÏ°Ô È°¿ëµÉ ¼ö ÀÖ½À´Ï´Ù.

¸ÖƼ¸ð´Þ VUI´Â À½¼º°ú ÅÍÄ¡, Á¦½ºÃ³ ÀνÄ, ½Ã°¢Àû ´Ü¼­ µî ´Ù¸¥ °¨°¢Àû ÀÔ·ÂÀ» °áÇÕÇÑ °ÍÀÔ´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â º¸´Ù ¸ôÀÔÀûÀÌ°í »óȲ¿¡ ¸Â´Â »ç¿ëÀÚ °æÇè¿¡ ´ëÇÑ ¿å±¸¿¡ ÀÇÇØ ÃËÁøµÇ°í ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î, »ç¿ëÀÚ´Â ½º¸¶Æ® Ȩ ±â±â¿¡ À½¼º ¸í·ÉÀ» ³»¸®°í µ¿½Ã¿¡ Á¦½ºÃ³·Î Á¶¸íÀ» Á¶Á¤ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼¸¦ Áö¿øÇϱâ À§ÇØ VUI ±â¼úÀÌ ¹ßÀüÇÔ¿¡ µû¶ó ÀÚµ¿Â÷ ÀÎÆ÷Å×ÀÎ¸ÕÆ® ½Ã½ºÅÛ¿¡¼­ Áõ°­Çö½Ç(AR) Çìµå¼Â¿¡ À̸£±â±îÁö ´Ù¾çÇÑ ºÐ¾ß¿¡ ÅëÇյǰí ÀÖ½À´Ï´Ù.

°¡Àü ¹× ½º¸¶Æ®È¨¿¡¼­ VUIÀÇ È®´ë

À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º´Â ¼ÒºñÀÚ °¡Àü ¹× ½º¸¶Æ®È¨ ºÐ¾ß¿¡¼­ ºü¸£°Ô ¼ºÀåÇϰí ÀÖÀ¸¸ç, ¾Æ¸¶Á¸ ¾Ë·º»ç(Amazon Alexa), ±¸±Û ¾î½Ã½ºÅÏÆ®(Google Assistant)¿Í °°Àº ½º¸¶Æ® ½ºÇÇÄ¿ ¹× °¡»ó ¾î½Ã½ºÅÏÆ®°¡ ¼¼°è °¡Á¤¿¡ º¸ÆíÈ­µÇ¸é¼­ À½¼ºÀ¸·Î ¿¬°áµÈ ±â±â, ¿Âµµ Á¶Àý±â, Á¶¸í µîÀ» Á¦¾îÇϰíÀÚ ÇÏ´Â ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. À½¼ºÀ¸·Î ¿¬°áµÈ ±â±â, ¿Âµµ Á¶Àý±â, Á¶¸í µîÀ» Á¦¾îÇÏ´Â ¼ö¿ä¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ¼ÒºñÀÚµéÀº ½º¸¶Æ®È¨ °ü¸®¸¦ À§ÇÑ À½¼º ¸í·ÉÀÇ Æí¸®ÇÔ°ú È¿À²¼ºÀ» ³ôÀÌ Æò°¡Çß½À´Ï´Ù.

°¡ÀüÁ¦Ç°¿¡¼­ VUI´Â ½º¸¶Æ® TV, ÇìµåÆù, °¡ÀüÁ¦Ç° µî ´Ù¾çÇÑ Á¦Ç°¿¡ žÀçµÇ°í ÀÖ½À´Ï´Ù. À½¼ºÀ¸·Î Á¦¾îµÇ´Â ¸®¸ðÄÁ°ú °¡»ó ºñ¼­¸¦ ÅëÇØ »ç¿ëÀÚ´Â ÄÁÅÙÃ÷¸¦ °Ë»öÇϰí, ¼³Á¤À» Á¶Á¤Çϰí, Á¤º¸¿¡ ½±°Ô Á¢±ÙÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â Á÷°üÀûÀ̰í À½¼º Áß½ÉÀÇ »óÈ£ ÀÛ¿ëÀ» ¼±È£ÇÏ´Â ±¤¹üÀ§ÇÑ ¼ÒºñÀÚ ¼±È£µµ¿Í ÀÏÄ¡Çϸç, ÀÌ·¯ÇÑ ºÐ¾ß¿¡¼­ VUIÀÇ Ã¤ÅÃÀ» Áö¼ÓÀûÀ¸·Î ÃËÁøÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

ºñÁî´Ï½º ¹× ±â¾÷¿ë ¿ëµµ¿¡ ÅëÇÕ

À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º´Â ºñÁî´Ï½º ¹× ¿£ÅÍÇÁ¶óÀÌÁî ¿ëµµ¿¡ Å« ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ½À´Ï´Ù. ¸¹Àº Á¶Á÷Àº µ¥ÀÌÅÍ ÀÔ·Â, Àç°í °ü¸®, ÇöÀå ¼­ºñ½º ÀÛ¾÷°ú °°Àº ÀÛ¾÷¿¡¼­ À½¼º Á¦¾î ÀÎÅÍÆäÀ̽ºÀÇ »ý»ê¼º ¹× Á¢±Ù¼º ÀÌÁ¡À» ÀνÄÇϰí ÀÖÀ¸¸ç, VUI´Â ¼öµ¿ µ¥ÀÌÅÍ ÀÔ·ÂÀÇ Çʿ伺À» ÁÙÀ̰í ÀÛ¾÷ÀÚ°¡ ÇÚÁîÇÁ¸®·Î ÀÛ¾÷À» ¼öÇà ÇÒ ¼ö ÀÖ°Ô ÇÔÀ¸·Î½á È¿À²¼ºÀ» Çâ»ó½Ãŵ´Ï´Ù, È¿À²¼ºÀ» ³ôÀÏ ¼ö ÀÖ½À´Ï´Ù.

ÇコÄÉ¾î ºÐ¾ß¿¡¼­´Â À½¼ºÀÎ½Ä ±â¼úÀÌ ÀÓ»ó ¹®¼­¸¦ °³¼±Çϰí ÀÇ·á ¿öÅ©Ç÷ο츦 °£¼ÒÈ­ÇÏ´Â µ¥ Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù. À½¼ºÀÎ½Ä °¡»ó ºñ¼­´Â ÀÇ»ç¿Í °£È£»ç°¡ ȯÀÚ ±â·Ï¿¡ ¾×¼¼½ºÇϰí, ¿¹¾à ¹× ±âŸ °ü¸® ¾÷¹«¸¦ ¼öÇàÇÏ´Â µ¥ µµ¿òÀ» ÁÖ¾î ȯÀÚ Áø·á¿¡ ´õ ¸¹Àº ½Ã°£À» ÇÒ¾ÖÇÒ ¼ö ÀÖµµ·Ï µ½°í ÀÖ½À´Ï´Ù.

¶ÇÇÑ, VUI´Â °í°´ ¼­ºñ½º ¹× ¿ëµµ¿¡ ÅëÇյǾî À½¼ºÀÎ½Ä Ãªº¿°ú ´ëÈ­Çü À½¼º ÀÀ´ä(IVR) ½Ã½ºÅÛÀ» ÅëÇØ °í°´ ¹®ÀÇ ¹× Áö¿ø ¿äû¿¡ ´ëÀÀÇÒ ¼ö ÀÖ´Â È¿À²ÀûÀÎ ¹æ¹ýÀ» ±â¾÷¿¡ Á¦°øÇÕ´Ï´Ù. ÀÌ ±â¼úÀÌ ¼º¼÷ÇÏ°í ´õ °­·ÂÇÑ º¸¾È ¹× °³ÀÎ Á¤º¸ º¸È£ ±â´ÉÀÌ Á¦°øµÊ¿¡ µû¶ó ºñÁî´Ï½º ¹× ±â¾÷ °ø°£¿¡¼­ äÅÃÀÌ È®´ëµÉ °¡´É¼ºÀÌ ³ô½À´Ï´Ù.

ÀÚ¿¬¾îó¸®(NLP) ¹× ´ëÈ­Çü AIÀÇ ¹ßÀü

ÀÚ¿¬¾î ó¸®(NLP)¿Í ´ëÈ­Çü AIÀÇ ¹ßÀüÀº À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽ºÀÇ ÁøÈ­¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼úÀ» ÅëÇØ VUI´Â ÀÚ¿¬¾î ¸í·É°ú Áú¹®À» ´õ Àß ÀÌÇØÇϰí ÀÀ´äÇÒ ¼ö ÀÖ½À´Ï´Ù. ¸Ó½Å·¯´× ¾Ë°í¸®Áò°ú µö·¯´× ¸ðµ¨Àº VUIÀÇ Á¤È®µµ¿Í ¸Æ¶ô ÀνÄÀ» Çâ»ó½ÃÄÑ º¸´Ù Á÷°üÀûÀ̰í Àΰ£ÀûÀÎ »óÈ£ÀÛ¿ëÀ» °¡´ÉÇÏ°Ô ÇÏ´Â µ¥ »ç¿ëµÇ°í ÀÖ½À´Ï´Ù.

VUI´Â ´Ü¼øÇÑ ¸í·É¾î ±â¹Ý ½Ã½ºÅÛ¿¡¼­ ¹®¸ÆÀ» ÀνÄÇÏ°í ´ëÈ­ÇÒ ¼ö ÀÖ´Â Á¤±³ÇÑ ´ëÈ­Çü ÀÎÅÍÆäÀ̽º·Î ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. »ç¿ëÀÚµéÀº °¡»ó ºñ¼­, 꺿, À½¼ºÀ¸·Î ½ÇÇàµÇ´Â ¿ëµµ°ú º¸´Ù ÀÚ¿¬½º·´°í ¿ªµ¿ÀûÀÎ ´ëÈ­¸¦ ³ª´­ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â »ç¿ëÀÚ¿Í ±â¼ú°úÀÇ °ü°è¸¦ À籸¼ºÇϰí ÀÖÀ¸¸ç, ƯÈ÷ °í°´ ¼­ºñ½º¿Í °°Àº ºÐ¾ß¿¡¼­´Â AI ±â¹Ý VUI°¡ °í°´ ¹®ÀÇ¿¡ ´ëÀÀÇÏ°í °³ÀÎÈ­µÈ Áö¿øÀ» Á¦°øÇÏ´Â µ¥ ÇʼöÀûÀÔ´Ï´Ù.

ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È¿¡ ´ëÇÑ ¿ì·Á

À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º°¡ ÀÏ»ó »ýȰ¿¡ ħÅõÇÔ¿¡ µû¶ó ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È¿¡ ´ëÇÑ ¿ì·Á°¡ Ä¿Áö°í ÀÖ½À´Ï´Ù. »ç¿ëÀÚµéÀº À½¼º µ¥ÀÌÅÍ ¼öÁý ¹× ÀúÀå°ú °ü·ÃµÈ ÀáÀçÀû À§Çè¿¡ ´ëÇØ Á¡Á¡ ´õ ¸¹ÀÌ ÀνÄÇϰí ÀÖ½À´Ï´Ù. À½¼º µ¥ÀÌÅÍ À¯Ãâ ¹× ¹«´Ü ¾×¼¼½º¿Í °ü·ÃµÈ À¯¸íÇÑ »ç°ÇÀº VUI Á¦°ø¾÷ü°¡ ½ÃÇàÇÏ´Â º¸¾È Á¶Ä¡¿¡ Àǹ®À» Á¦±âÇϰí ÀÖ½À´Ï´Ù.

±ÔÁ¦ ´ç±¹µµ ÁÖ¸ñÇϰí ÀÖÀ¸¸ç, À¯·´ÀÇ ÀÏ¹Ý µ¥ÀÌÅÍ º¸È£ ±ÔÁ¤(GDPR)°ú ¹Ì±¹ÀÇ Ä¶¸®Æ÷´Ï¾Æ ¼ÒºñÀÚ °³ÀÎÁ¤º¸ º¸È£¹ý(CCPA)°ú °°Àº µ¥ÀÌÅÍ º¸È£¹ýÀº VUI ±â¾÷ÀÌ »ç¿ëÀÚ µ¥ÀÌÅ͸¦ ó¸®ÇÏ´Â ¹æ½Ä¿¡ ¿µÇâÀ» ¹ÌÄ¡°í ÀÖ½À´Ï´Ù. »ç¿ëÀÚµéÀº ³ìÀ½ »èÁ¦ ¹× µ¥ÀÌÅÍ °øÀ¯ Á¦ÇÑ ¿É¼Ç°ú °°Àº À½¼º µ¥ÀÌÅÍ¿¡ ´ëÇÑ ´õ ³ôÀº Åõ¸í¼º°ú ÅëÁ¦±ÇÀ» ¿ä±¸Çϰí ÀÖ½À´Ï´Ù.

ÀÌ·¯ÇÑ ¿ì·Á¿¡ ´ëÀÀÇϱâ À§ÇØ VUI Á¦°ø¾÷üµéÀº °­·ÂÇÑ ¾Ïȣȭ, ¾ÈÀüÇÑ µ¥ÀÌÅÍ ÀúÀå ¹æ¹ý, »ç¿ëÀÚ Ä£È­ÀûÀÎ ÇÁ¶óÀ̹ö½Ã ¼³Á¤¿¡ ÅõÀÚÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ±â±â ³» ó¸® ¹× ¿§Áö ÄÄÇ»ÆÃÀÇ ¹ßÀüÀ¸·Î ´õ ¸¹Àº À½¼º ÀνÄÀÌ ±â±â¿¡¼­ ·ÎÄ÷ΠÀÌ·ç¾îÁö°í, µ¥ÀÌÅ͸¦ Ŭ¶ó¿ìµå·Î Àü¼ÛÇÒ Çʿ伺ÀÌ ÁÙ¾îµé¾î ÇÁ¶óÀ̹ö½Ã¿Í º¸¾ÈÀ» °­È­ÇÒ ¼ö ÀÖ½À´Ï´Ù.

ºÎ¹®º° ÀλçÀÌÆ®

Á¦°øº° ÀλçÀÌÆ®

2022³â ¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀåÀº ¼Ö·ç¼Ç ºÎ¹®ÀÌ ÁÖµµÇÒ °Í '¼Ö·ç¼Ç' ºÎ¹®Àº À½¼º ÀνÄ, À½¼º ÇÕ¼º, ÀÚ¿¬¾î ó¸®(NLP), °¡»ó ºñ¼­ Ç÷§Æû µî ´Ù¾çÇÑ VUI ±â¼úÀ» Æ÷°ýÇÕ´Ï´Ù. ÀÌ·¯ÇÑ Á¾ÇÕÀûÀÎ ¼Ö·ç¼ÇÀº ±â¾÷°ú ¼ÒºñÀÚÀÇ ´Ù¾çÇÑ ¿ä±¸¸¦ ÃæÁ·Çϵµ·Ï ¼³°èµÇ¾î ½ÃÀå¿¡¼­ ³ôÀº Àα⸦ ¾ò°í ÀÖ½À´Ï´Ù.

VUI ¼Ö·ç¼ÇÀº ½º¸¶Æ®Æù, ½º¸¶Æ® ½ºÇÇÄ¿, ÀÚµ¿Â÷ ÀÎÆ÷Å×ÀÎ¸ÕÆ® ½Ã½ºÅÛ, ½º¸¶Æ® °¡ÀüÁ¦Ç° µî ´Ù¾çÇÑ Á¦Ç°°ú ±â±â¿¡ ÅëÇյǾî ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±¤¹üÀ§ÇÑ ÅëÇÕÀº »ç¿ëÀÚ °æÇèÀ» °³¼±ÇÏ°í ¿øÈ°ÇÑ À½¼º »óÈ£ ÀÛ¿ëÀ» Á¦°øÇÏ¿© ÀÌ ºÎ¹®¿¡¼­ ¿ìÀ§¸¦ Á¡ÇÏ´Â µ¥ ±â¿©Çϰí ÀÖ½À´Ï´Ù.

ÀÌ ºÎ¹®ÀÇ ¼Ö·ç¼ÇÀº ÇコÄɾî, ÀÚµ¿Â÷, °¡Àü, ÀüÀÚ»ó°Å·¡ µî ´Ù¾çÇÑ »ê¾÷¿¡ Àû¿ëµÇ°í ÀÖ½À´Ï´Ù. ±â¾÷µéÀº VUI ¼Ö·ç¼ÇÀ» Ȱ¿ëÇÏ¿© °í°´ Âü¿©¸¦ °­È­Çϰí, ¿î¿µÀ» °£¼ÒÈ­Çϸç, Çõ½ÅÀûÀÎ ¼­ºñ½º¸¦ Á¦°øÇÔÀ¸·Î½á ÀÌ·¯ÇÑ Á¦Ç°¿¡ ´ëÇÑ ¼ö¿ä¸¦ ´õ¿í ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

À½¼º ÀνÄ, NLP, AI ±â¹Ý VUI ±â¼úÀÇ Áö¼ÓÀûÀÎ ¹ßÀüÀº º¸´Ù Á¤È®ÇÏ°í ¸Æ¶ô¿¡ ¸Â´Â ¼Ö·ç¼ÇÀ¸·Î À̾îÁö°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¼ú ¹ßÀüÀº »ç¿ëÀÚ °æÇèÀ» °³¼±Çϰí VUI »ç¿ë ¹üÀ§¸¦ ³ÐÇô '¼Ö·ç¼Ç' ºÎ¹®ÀÇ ÀÔÁö¸¦ °­È­Çϰí ÀÖ½À´Ï´Ù.

¿ëµµº° ÀλçÀÌÆ®

2022³â ¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀåÀº ½º¸¶Æ® ½ºÇÇÄ¿ ºÎ¹®ÀÌ ÁÖµµÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, ¾Æ¸¶Á¸ÀÇ ¾Ë·º»ç, ±¸±Û ¾î½Ã½ºÅÏÆ®, ¾ÖÇÃÀÇ ½Ã¸®¿Í °°Àº °¡»ó ºñ¼­°¡ žÀçµÈ ½º¸¶Æ® ½ºÇÇÄ¿°¡ ¼¼°è ¼ÒºñÀڵ鿡°Ô ºü¸£°Ô º¸±ÞµÉ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù. ±Þ¼ÓÇÑ º¸±ÞÀ» ¸ñ°ÝÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â±â´Â Á¤º¸ °Ë»ö, ½º¸¶Æ® Ȩ Á¦¾î, ¿£ÅÍÅ×ÀÎ¸ÕÆ® µî ´Ù¾çÇÑ ÀÛ¾÷ÀÇ Á᫐ Çãºê ¿ªÇÒÀ» ÇÏ¸ç °¡Á¤¿¡¼­ º¸ÆíÈ­µÇ°í ÀÖ½À´Ï´Ù.

½º¸¶Æ® ½ºÇÇÄ¿´Â ´Ù¾çÇÑ ±â´ÉÀ» °®Ãß°í ÀÖ¾î ´Ù¾çÇÑ ¼ÒºñÀڵ鿡°Ô ¸Å·ÂÀûÀÎ Á¦Ç°ÀÔ´Ï´Ù. »ç¿ëÀÚ´Â À½¼º ¸í·ÉÀ¸·Î À½¾ÇÀ» Àç»ýÇϰí, ¾Ë¶÷À» ¼³Á¤Çϰí, ½º¸¶Æ® Ȩ ±â±â¸¦ Á¦¾îÇϰí, Àϱ⿹º¸¸¦ È®ÀÎÇϰí, ¿Â¶óÀÎ ¼îÇÎÀ» ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ´Ù±â´É¼ºÀ¸·Î ÀÎÇØ ½º¸¶Æ® ½ºÇÇÄ¿´Â ¿À´Ã³¯ Ä¿³ØÆ¼µå Ȩ¿¡¼­ ÇʼöÀûÀÎ ÀåÄ¡·Î ÀÚ¸®¸Å±èÇϰí ÀÖ½À´Ï´Ù.

´ëÇü ±â¼ú ±â¾÷µéÀº ½º¸¶Æ® ½ºÇÇÄ¿¸¦ µÑ·¯½Ñ Á¾ÇÕÀûÀÎ »ýŰ踦 °³¹ßÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ »ýŰ迡´Â ȣȯ °¡´ÉÇÑ ½º¸¶Æ® Ȩ ±â±â, Ÿ»ç ÅëÇÕ, Çõ½ÅÀ» ÃËÁøÇϰí À½¼º Á¦¾î ¿ëµµÀÇ ¹üÀ§¸¦ È®ÀåÇÏ´Â °³¹ßÀÚ µµ±¸°¡ Æ÷ÇԵ˴ϴÙ. ÀÌ·¯ÇÑ »ýŰè Á¢±Ù ¹æ½ÄÀº Áö¼ÓÀûÀΠäÅðú »ç¿ëÀ» ÃËÁøÇÕ´Ï´Ù.

½º¸¶Æ® ½ºÇÇÄ¿´Â Á÷°üÀûÀÎ ÇÚÁîÇÁ¸® »ç¿ëÀÚ °æÇèÀ» Á¦°øÇÕ´Ï´Ù. »ç¿ëÀÚ´Â ¸»Çϱ⸸ Çϸé Á¤º¸¿¡ Á¢±ÙÇϰí ÀÛ¾÷À» ¼öÇàÇÒ ¼ö Àֱ⠶§¹®¿¡ ¼öµ¿À¸·Î ÀÔ·ÂÇÒ Çʿ䰡 ¾ø½À´Ï´Ù. ÀÌ·¯ÇÑ »ç¿ëÀÇ ¿ëÀ̼º°ú ÆíÀǼºÀº ½º¸¶Æ® ½ºÇÇÄ¿ ºÎ¹®ÀÇ ¿ìÀ§¿¡ ±â¿©Çϰí ÀÖ½À´Ï´Ù.

Áö¿ªº° ÀλçÀÌÆ®

2022³â ¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀåÀº ºÏ¹Ì°¡ Áö¹èÀûÀÏ °ÍÀÔ´Ï´Ù. ºÏ¹Ì, ƯÈ÷ ¹Ì±¹Àº ÷´Ü ±â¼ú »ê¾÷ÀÇ Çõ½Å°ú ¸®´õ½ÊÀ¸·Î À¯¸íÇÕ´Ï´Ù. ¾Æ¸¶Á¸, ¾ÖÇÃ, ±¸±Û, ¸¶ÀÌÅ©·Î¼ÒÇÁÆ® µî ¼¼°è À¯¼öÀÇ ±â¼ú ±â¾÷µéÀÌ ÀÌ Áö¿ª¿¡ º»»ç¸¦ µÎ°í ÀÖ½À´Ï´Ù. ÀÌµé ´ë±â¾÷Àº ¾Æ¸¶Á¸ÀÇ ¾Ë·º»ç, ¾ÖÇÃÀÇ ½Ã¸®, ±¸±Û ¾î½Ã½ºÅÏÆ® µî VUI ±â¼úÀÇ °³¹ß°ú º¸±Þ¿¡ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» Çß½À´Ï´Ù. ¿¬±¸°³¹ß¿¡ ´ëÇÑ ¸·´ëÇÑ ÅõÀÚ¿Í ¼¼°è ÁøÃâ·Î ºÏ¹Ì´Â VUI ½ÃÀåÀÇ ÃÖÀü¼±¿¡ ¼­°Ô µÇ¾ú½À´Ï´Ù.

ºÏ¹Ì¿¡´Â À½¼º ±â¼ú¿¡ ƯȭµÈ ½ºÅ¸Æ®¾÷, °³¹ßÀÚ, Çõ½Å°¡µéÀÇ È°¹ßÇÑ »ýŰ谡 Çü¼ºµÇ¾î ÀÖ½À´Ï´Ù. ƯÈ÷ ½Ç¸®Äܹ븮´Â ¼¼°è ÇÏÀÌÅ×Å© ½ºÅ¸Æ®¾÷ÀÇ Áß½ÉÁöÀ̸ç, ÀÌµé ±â¾÷ Áß »ó´ç¼ö°¡ À½¼º °ü·Ã ¿ëµµ°ú ¼­ºñ½º¸¦ Àü¹®À¸·Î Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±â¾÷ÀÌ Á¤½ÅÀº Áö¼ÓÀûÀÎ Çõ½ÅÀ» ÃËÁøÇϰí Á¦Ç° °³¹ßÀ» °¡¼ÓÈ­Çϸç VUI ±â¼úÀÇ ÁøÈ­¸¦ ÃËÁøÇÕ´Ï´Ù.

ºÏ¹Ì¿¡¼­´Â ƯÈ÷ ½º¸¶Æ® ½ºÇÇÄ¿¿Í °¡»ó ºñ¼­¸¦ ÅëÇØ ¼ÒºñÀÚµéÀÇ VUI ±â¼ú äÅÃÀÌ È°¹ßÇÏ°Ô ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀÇ ¸¹Àº ¼ÒºñÀÚ´Â ±â¼ú¿¡ Á¤ÅëÇϰí, À½¼ºÀ¸·Î ÀÛµ¿µÇ´Â ±â±â¸¦ ½±°Ô ¹Þ¾ÆµéÀ̰í ÀÏ»ó »ýȰ¿¡ Àû¿ëÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±¤¹üÀ§ÇÑ Ã¤ÅÃÀº ±â¾÷ÀÌ ¼ÒºñÀÚ ¼ö¿ä¸¦ ÃæÁ·½Ã۱â À§ÇØ VUI ±â¼ú¿¡ ÅõÀÚÇϵµ·Ï À¯µµÇϰí ÀÖ½À´Ï´Ù.

ºÏ¹ÌÀÇ ±ÔÁ¦ ȯ°æÀº VUI °³¹ß ¹× ¹èÆ÷¿¡ ºñ±³Àû À¯¸®ÇÕ´Ï´Ù. µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È ±ÔÁ¦°¡ Á¸ÀçÇÏÁö¸¸, ´Ù¸¥ Áö¿ª¿¡¼­ º¼ ¼ö ÀÖ´Â °Íó·³ VUI ±â¼úÀÇ ¼ºÀåÀ» ¹æÇØÇÏÁö´Â ¾Ê½À´Ï´Ù. ÀÌ·¯ÇÑ ±ÔÁ¦Àû Áö¿øÀº ±â¼ú Çõ½Å°ú ½ÃÀå È®´ë¸¦ ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ¼­ºñ½º °³¿ä

  • ½ÃÀåÀÇ Á¤ÀÇ
  • ½ÃÀå ¹üÀ§
    • ´ë»ó ½ÃÀå
    • Á¶»ç ´ë»ó³â
    • ÁÖ¿ä ½ÃÀå ¼¼ºÐÈ­

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ¼¼°è À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå¿¡ ´ëÇÑ COVID-19ÀÇ ¿µÇâ

Á¦5Àå °í°´ÀÇ ¼Ò¸®

Á¦6Àå ¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå °³¿ä

Á¦7Àå ¼¼°èÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå Àü¸Á

  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • ±Ý¾×º°
  • ½ÃÀå Á¡À¯À²°ú ¿¹Ãø
    • Á¦°ø Á¦Ç°º°
    • ¿ëµµº°
    • ¾÷°èº°
    • Áö¿ªº°
  • ±â¾÷º°(2022³â)
  • ½ÃÀå ¸Ê

Á¦8Àå ºÏ¹ÌÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå Àü¸Á

  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • ±Ý¾×º°
  • ½ÃÀå Á¡À¯À²°ú ¿¹Ãø
    • Á¦°ø Á¦Ç°º°
    • ¿ëµµº°
    • ¾÷°èº°
    • ±¹°¡º°

Á¦9Àå À¯·´ÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå Àü¸Á

  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • ±Ý¾×º°
  • ½ÃÀå Á¡À¯À²°ú ¿¹Ãø
    • Á¦°ø Á¦Ç°º°
    • ¿ëµµº°
    • ¾÷°èº°
    • ±¹°¡º°

Á¦10Àå ³²¹ÌÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå Àü¸Á

  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • ±Ý¾×º°
  • ½ÃÀå Á¡À¯À²°ú ¿¹Ãø
    • Á¦°ø Á¦Ç°º°
    • ¿ëµµº°
    • ¾÷°èº°
    • ±¹°¡º°

Á¦11Àå Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå Àü¸Á

  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • ±Ý¾×º°
  • ½ÃÀå Á¡À¯À²°ú ¿¹Ãø
    • Á¦°ø Á¦Ç°º°
    • ¿ëµµº°
    • ¾÷°èº°
    • ±¹°¡º°

Á¦12Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ À½¼º »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º ½ÃÀå Àü¸Á

  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • ±Ý¾×º°
  • ½ÃÀå ±Ô¸ð¿Í ¿¹Ãø
    • Á¦°ø Á¦Ç°º°
    • ¿ëµµº°
    • ¾÷°èº°
    • ±¹°¡º°

Á¦13Àå ½ÃÀå ¿ªÇÐ

  • ¼ºÀå ÃËÁø¿äÀÎ
  • °úÁ¦

Á¦14Àå ½ÃÀå µ¿Çâ°ú °³Ã´

Á¦15Àå ±â¾÷ °³¿ä

  • Google LLC
  • Amazon.com, Inc.
  • Apple Inc.
  • Microsoft Corporation
  • Nuance Communications, Inc.
  • International Business Machines Corporation
  • Amazon Web Services, Inc.
  • Microsoft Azure
  • Google Cloud Platform
  • Dialog Semiconductor plc

Á¦16Àå Àü·«Àû Á¦¾È

Á¦17Àå ¸®¼­Ä¡»ç¿¡ ´ëÇØ/¸éÃ¥»çÇ×

LSH 23.11.29

The Global Voice User Interface (VUI) market is experiencing remarkable growth and transformation, revolutionizing the way individuals interact with technology. VUIs enable users to interact with devices and applications through spoken language, offering hands-free and intuitive experiences. The market's dominance is underscored by key drivers, including rapid technological advancements in natural language processing and speech recognition, as well as the widespread adoption of smart speakers and voice-activated devices. Major tech companies like Amazon, Apple, and Google are at the forefront, driving innovation and expanding their VUI ecosystems.

Smart speakers, equipped with virtual assistants, have seen widespread consumer adoption, serving as central hubs for various tasks and smart home control. VUIs are not limited to smart speakers; they find applications in smartphones, tablets, interactive voice response systems, and an array of voice-controlled devices. Businesses are increasingly leveraging VUIs to enhance customer engagement and streamline operations, making the technology integral in various industries, including healthcare, automotive, and retail.

However, challenges persist, such as privacy concerns related to voice data and the need for continued improvements in voice recognition accuracy. Regulatory frameworks are evolving to address data protection and security concerns, ensuring a balance between innovation and user privacy. As VUI technology advances and becomes more ingrained in daily life, the Global VUI market is poised for sustained growth, shaping the future of human-machine interaction across diverse applications and industries.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 17.56 Billion
Market Size 2028USD 56.77 billion
CAGR 2023-202821.42%
Fastest Growing SegmentSmart Speakers
Largest MarketNorth America

Key Market Drivers

Proliferation of Smart Devices and IoT Integration

One of the primary drivers propelling the global Voice User Interface (VUI) market is the widespread proliferation of smart devices and the integration of VUI technology into the Internet of Things (IoT) ecosystem. Smartphones, smart speakers, connected appliances, wearables, and automotive infotainment systems are just a few examples of devices that now feature voice-activated capabilities. The seamless interaction between users and these devices through VUIs enhances user convenience and productivity.

The IoT landscape, in particular, benefits from VUI integration. Voice commands enable users to control and monitor a myriad of interconnected devices, from thermostats and lighting systems to security cameras and smart locks. As IoT adoption continues to surge across industries, VUIs provide a natural and intuitive interface for managing these interconnected ecosystems, further driving their demand.

Enhanced User Experience and Accessibility

VUIs are contributing to a more immersive and accessible user experience across various applications. These interfaces offer users a more natural and intuitive way to interact with technology, eliminating the need for manual input and simplifying complex tasks. This enhanced user experience extends to individuals with disabilities, such as those with mobility impairments or visual impairments, who benefit from voice-activated technology.

In the healthcare sector, VUIs are improving accessibility for patients by enabling voice-controlled medical devices and applications. In the automotive industry, hands-free VUIs enhance driver safety by reducing distractions and facilitating safer interactions with in-car systems. As industries prioritize user experience and inclusivity, VUIs are playing a pivotal role in ensuring that technology is accessible to a broader audience.

Advancements in Natural Language Processing (NLP) and Machine Learning

Advancements in Natural Language Processing (NLP) and machine learning technologies are driving the growth of the VUI market. These advancements enable VUI systems to better understand and interpret human speech, making interactions more intuitive and context-aware. NLP algorithms are continuously improving the accuracy of voice recognition and the ability to understand complex language structures.

Conversational AI, powered by sophisticated NLP models, is enabling VUIs to engage in more dynamic and context-aware dialogues with users. This evolution from command-based interactions to natural language conversations enhances user satisfaction and productivity, particularly in customer service applications.

Moreover, machine learning algorithms are being leveraged for personalization and user behavior analysis. VUIs can adapt to individual users' preferences and provide tailored responses and recommendations. These advancements not only enhance the user experience but also make VUIs more valuable across a range of applications.

Growth of Virtual Assistants and Chatbots

The proliferation of virtual assistants and chatbots is a significant driver in the VUI market. Virtual assistants like Amazon's Alexa, Apple's Siri, and Google Assistant have become integral parts of consumers' daily lives. They provide quick access to information, assist with tasks, control smart home devices, and even entertain users through voice interactions.

In business and customer service applications, chatbots equipped with VUI capabilities are automating interactions and providing instant support to customers. These AI-driven chatbots can understand and respond to customer queries, handle routine tasks, and offer personalized recommendations.

As virtual assistants and chatbots continue to evolve, they are extending their reach into various industries, including healthcare, e-commerce, finance, and education. Their ability to process voice commands and engage in natural language conversations is making VUI technology increasingly indispensable.

Industry-Specific Applications and Productivity Gains

VUIs are driving productivity gains and efficiencies in various industry-specific applications. In healthcare, for instance, voice-controlled medical devices and electronic health record (EHR) systems are streamlining clinical workflows, reducing administrative burdens on healthcare professionals, and improving patient care. Voice-enabled transcription services are also enhancing the accuracy and speed of medical documentation.

In manufacturing and logistics, VUIs are used for hands-free inventory management, order picking, and maintenance tasks. Field service workers can use voice commands to access equipment manuals and record inspection findings while on-site, boosting efficiency and accuracy.

Furthermore, VUIs are enhancing the accessibility of information in education and training. Students and professionals can use voice-activated search and interactive tutorials to access educational content and skill development resources.

The adoption of VUI technology in industry-specific applications is driven by the potential for substantial productivity gains, cost savings, and improved user experiences. As more businesses recognize these benefits, the demand for VUI-enabled solutions continues to grow across diverse sectors.

Key Market Challenges

Accuracy and Reliability in Voice Recognition

One of the primary challenges facing the global Voice User Interface (VUI) market is ensuring the accuracy and reliability of voice recognition technology. While VUIs have made significant advancements in understanding and processing natural language, they still encounter difficulties in accurately recognizing and interpreting diverse accents, dialects, and speech patterns. This challenge is compounded by background noise, varying levels of articulation, and linguistic nuances.

To address this issue, VUI developers are leveraging machine learning algorithms and deep neural networks to improve voice recognition accuracy. However, achieving consistent and near-perfect recognition across all users and contexts remains a complex problem. Privacy concerns also arise as voice data is collected and analyzed to enhance recognition algorithms, necessitating transparent data handling practices and strong security measures.

Privacy and Data Security Concerns

Privacy and data security are paramount concerns in the VUI market. Voice data collected by VUI devices and platforms may contain sensitive and personally identifiable information. Users are increasingly wary of how their voice data is stored, processed, and shared. High-profile incidents of voice data breaches and unauthorized access have raised apprehensions about the security of voice assistants and other VUI systems.

Regulatory bodies have taken action to address these concerns, with data protection laws like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States impacting VUI providers. Compliance with these regulations necessitates robust encryption, secure data storage practices, and transparent data usage policies. Moreover, VUI developers must prioritize user consent, data anonymization, and the ability for users to control their voice data, including options to delete recordings.

Overcoming Ambient Noise and Environment Variability

Another significant challenge facing the VUI market is the ability to function effectively in noisy and dynamically changing environments. VUI devices are often used in various settings, including homes, offices, cars, and public spaces. Ambient noise, interference, and background chatter can hinder voice recognition and cause misinterpretation of user commands.

Developers are working to mitigate these challenges by implementing advanced noise cancellation algorithms and far-field microphone technology in VUI devices. Additionally, machine learning models are being trained to adapt to different acoustic environments. While these solutions are improving VUI performance, addressing the full spectrum of environmental variability remains an ongoing challenge.

Multilingual and Cross-Cultural Adaptation

The VUI market is inherently global, requiring VUI systems to be multilingual and culturally adaptable. This presents a challenge as voice recognition algorithms need to account for a wide array of languages, dialects, and cultural contexts. Ensuring seamless communication in multiple languages is complex, as each language may have unique grammatical rules, syntax, and pronunciation nuances.

Developers are investing in cross-cultural and multilingual training data to enhance VUI adaptability. This includes continuous improvement of Natural Language Processing (NLP) models to handle diverse linguistic inputs. However, achieving equal accuracy and performance across all languages and cultures is a formidable challenge that necessitates ongoing research and development efforts.

Voice Authentication and Security

As VUI systems become more integrated into daily life and critical applications, such as banking and healthcare, the challenge of voice authentication and security becomes paramount. Ensuring the legitimacy of voice commands and user identities is essential to prevent unauthorized access and fraudulent activities.

Developers are exploring biometric authentication methods, including voiceprint recognition, to enhance security. However, this raises concerns about potential vulnerabilities and spoofing attacks. Striking the right balance between usability and security in voice authentication systems is an ongoing challenge.

Moreover, the regulatory landscape around voice authentication is evolving, with requirements for robust authentication mechanisms and user consent. VUI providers must navigate these regulatory frameworks while delivering user-friendly and secure authentication solutions.

Key Market Trends

Rising Demand for Hands-Free and Multimodal Interactions

The global Voice User Interface (VUI) market is witnessing a significant trend toward hands-free and multimodal interactions. With the proliferation of smart speakers, voice-activated smartphones, and wearable devices, consumers are increasingly seeking seamless and intuitive ways to interact with technology. Hands-free VUIs allow users to control devices, access information, and perform tasks without the need for physical touch, making them especially valuable in scenarios where manual interaction is impractical or unsafe, such as while driving or cooking.

Multimodal VUIs combine voice with other sensory inputs, such as touch, gesture recognition, and visual cues. This trend is driven by the desire for more immersive and context-aware user experiences. For example, a user may issue a voice command to a smart home device while also gesturing to adjust the lighting. As VUI technology evolves to support these trends, it is increasingly integrated into a wide range of applications, from automotive infotainment systems to augmented reality (AR) headsets.

Expansion of VUI in Consumer Electronics and Smart Homes

Voice User Interfaces are rapidly expanding their footprint in the consumer electronics and smart home sectors. Smart speakers and virtual assistants like Amazon Alexa and Google Assistant have become ubiquitous in households worldwide, driving demand for voice-activated control of connected devices, thermostats, lighting, and more. Consumers appreciate the convenience and efficiency of voice commands for managing their smart homes.

In consumer electronics, VUI is integrated into various products, including smart TVs, headphones, and appliances. Voice-controlled remote controls and virtual assistants enable users to search for content, adjust settings, and access information with ease. This trend aligns with the broader consumer preference for intuitive and voice-driven interactions, and it is expected to continue driving the adoption of VUI in these sectors.

Integration into Business and Enterprise Applications

Voice User Interfaces are making significant inroads into business and enterprise applications. Many organizations are recognizing the productivity and accessibility benefits of voice-controlled interfaces for tasks like data entry, inventory management, and field service operations. VUIs can enhance efficiency by reducing the need for manual data input and enabling workers to perform tasks hands-free.

In the healthcare sector, voice recognition technology is being used to improve clinical documentation and streamline healthcare workflows. Voice-enabled virtual assistants are helping physicians and nurses access patient records, schedule appointments, and perform other administrative tasks, allowing them to spend more time on patient care.

Moreover, VUIs are being integrated into customer service applications, providing businesses with an efficient way to handle customer inquiries and support requests through voice-activated chatbots and interactive voice response (IVR) systems. As the technology matures and offers more robust security and privacy features, its adoption in the business and enterprise space is likely to grow.

Advances in Natural Language Processing (NLP) and Conversational AI

Advancements in Natural Language Processing (NLP) and Conversational AI are driving the evolution of Voice User Interfaces. These technologies enable VUIs to better understand and respond to natural language commands and questions. Machine learning algorithms and deep learning models are being employed to enhance the accuracy and context-awareness of VUIs, making interactions more intuitive and human-like.

VUIs are evolving from simple command-based systems to sophisticated conversational interfaces capable of engaging in context-aware dialogues. Users can have more natural and dynamic conversations with virtual assistants, chatbots, and voice-activated applications. This trend is reshaping how users interact with technology, especially in areas like customer service, where AI-driven VUIs are becoming integral for handling customer inquiries and providing personalized assistance.

Privacy and Security Concerns

As Voice User Interfaces become more prevalent in our daily lives, concerns related to privacy and security are growing. Users are increasingly aware of the potential risks associated with voice data collection and storage. High-profile incidents of voice data breaches and unauthorized access have raised questions about the security measures implemented by VUI providers.

Regulatory bodies are taking notice, and data protection laws like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States are impacting how VUI companies handle user data. Users are demanding more transparency and control over their voice data, including options to delete recordings and limit data sharing.

In response to these concerns, VUI providers are investing in robust encryption, secure data storage practices, and user-friendly privacy settings. Additionally, advancements in on-device processing and edge computing are enabling more voice recognition to occur locally on devices, reducing the need for data to be sent to the cloud, which can enhance privacy and security.

Segmental Insights

Offering Insights

Solution segment dominates in the global Voice User Interface market in 2022 The "Solution" segment encompasses a wide range of VUI technologies, including voice recognition, speech synthesis, natural language processing (NLP), and virtual assistant platforms. These comprehensive solutions are designed to meet the diverse needs of businesses and consumers, making them highly sought after in the market.

VUI solutions are integrated into a multitude of products and devices, such as smartphones, smart speakers, automotive infotainment systems, and smart home appliances. This widespread integration enhances user experiences and provides seamless voice interactions, contributing to the dominance of this segment.

Solutions within this segment find applications across various industries, including healthcare, automotive, consumer electronics, and e-commerce. Businesses leverage VUI solutions to enhance customer engagement, streamline operations, and offer innovative services, further fueling the demand for these offerings.

Continuous advancements in voice recognition, NLP, and AI-driven VUI technologies have led to more accurate and context-aware solutions. These technological improvements have bolstered the position of the "Solution" segment by delivering enhanced user experiences and expanding the scope of VUI applications.

Application Insights

Smart Speakers segment dominates in the global Voice User Interface market in 2022. Smart speakers, often equipped with virtual assistants like Amazon's Alexa, Google Assistant, and Apple's Siri, have witnessed rapid consumer adoption worldwide. These devices are becoming commonplace in households, serving as central hubs for various tasks, including information retrieval, smart home control, and entertainment.

Smart speakers offer versatile functionality, making them appealing to a broad range of consumers. Users can employ voice commands to play music, set alarms, control smart home devices, obtain weather updates, and even make online purchases. This versatility positions smart speakers as indispensable devices in today's connected homes.

Major tech companies have developed comprehensive ecosystems around their smart speakers. These ecosystems include compatible smart home devices, third-party integrations, and developer tools that encourage innovation and expand the range of voice-controlled applications. This ecosystem approach fosters continued adoption and use.

Smart speakers provide an intuitive and hands-free user experience. Users can access information and perform tasks simply by speaking, eliminating the need for manual input. This ease of use and convenience contribute to the dominance of the Smart Speakers segment.

Regional Insights

North America dominates the Global Voice User Interface Market in 2022. North America, particularly the United States, is renowned for its innovation and leadership in the tech industry. Many of the world's leading technology companies, including Amazon, Apple, Google, and Microsoft, are headquartered in this region. These giants have played a pivotal role in developing and popularizing VUI technologies, such as Amazon's Alexa, Apple's Siri, and Google Assistant. Their substantial investments in research and development, along with their global reach, have propelled North America to the forefront of the VUI market.

North America boasts a thriving ecosystem of startups, developers, and innovators focused on voice technology. Silicon Valley, in particular, is a global hub for tech startups, and many of these companies specialize in voice-related applications and services. This entrepreneurial spirit fosters continuous innovation, accelerates product development, and drives the evolution of VUI technology.

North America has witnessed robust consumer adoption of VUI technology, particularly through smart speakers and virtual assistants. The region has a large base of tech-savvy consumers who readily embrace and integrate voice-activated devices into their daily lives. This widespread adoption has encouraged businesses to invest in VUI technology to meet consumer demands.

The regulatory environment in North America has been relatively favorable for VUI development and deployment. While data privacy and security regulations exist, they have not hindered the growth of VUI technology to the extent seen in some other regions. This regulatory support has facilitated innovation and market expansion.

Key Market Players

  • Google LLC
  • Amazon.com, Inc.
  • Apple Inc.
  • Microsoft Corporation
  • Nuance Communications, Inc.
  • International Business Machines Corporation
  • Amazon Web Services, Inc.
  • Microsoft Azure
  • Google Cloud Platform
  • Dialog Semiconductor plc

Report Scope:

In this report, the Global Voice User Interface Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Voice User Interface Market, By Offering:

  • Solution
  • Service

Voice User Interface Market, By Application:

  • Smart Speakers
  • Interactive Voice Response
  • Voice Controlled Devices
  • Smartphone's & Tablets
  • Others

Voice User Interface Market, By Industry Vertical:

  • BFSI
  • Retail & E-commerce
  • Consumer Electronics
  • Automotive & Transportation
  • Healthcare
  • Travel & Hospitality
  • Government & Defense
  • Others

Voice User Interface Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the Global Voice User Interface Market.

Available Customizations:

  • Global Voice User Interface Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Baseline Methodology
  • 2.2. Key Industry Partners
  • 2.3. Major Association and Secondary Sources
  • 2.4. Forecasting Methodology
  • 2.5. Data Triangulation & Validation
  • 2.6. Assumptions and Limitations

3. Executive Summary

4. Impact of COVID-19 on Global Voice User Interface Market

5. Voice of Customer

6. Global Voice User Interface Market Overview

7. Global Voice User Interface Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Offering (Solution, Service)
    • 7.2.2. By Application (Smart Speakers, Interactive Voice Response, Voice Controlled Devices, Smartphone's & Tablets, Others)
    • 7.2.3. By Industry Vertical (BFSI, Retail & E-commerce, Consumer Electronics, Automotive & Transportation, Healthcare, Travel & Hospitality, Government & Defense, Others)
    • 7.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2022)
  • 7.4. Market Map

8. North America Voice User Interface Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Offering
    • 8.2.2. By Application
    • 8.2.3. By Industry Vertical
    • 8.2.4. By Country
      • 8.2.4.1. United States Voice User Interface Market Outlook
        • 8.2.4.1.1. Market Size & Forecast
        • 8.2.4.1.1.1. By Value
        • 8.2.4.1.2. Market Share & Forecast
        • 8.2.4.1.2.1. By Offering
        • 8.2.4.1.2.2. By Application
        • 8.2.4.1.2.3. By Industry Vertical
      • 8.2.4.2. Canada Voice User Interface Market Outlook
        • 8.2.4.2.1. Market Size & Forecast
        • 8.2.4.2.1.1. By Value
        • 8.2.4.2.2. Market Share & Forecast
        • 8.2.4.2.2.1. By Offering
        • 8.2.4.2.2.2. By Application
        • 8.2.4.2.2.3. By Industry Vertical
      • 8.2.4.3. Mexico Voice User Interface Market Outlook
        • 8.2.4.3.1. Market Size & Forecast
        • 8.2.4.3.1.1. By Value
        • 8.2.4.3.2. Market Share & Forecast
        • 8.2.4.3.2.1. By Offering
        • 8.2.4.3.2.2. By Application
        • 8.2.4.3.2.3. By Industry Vertical

9. Europe Voice User Interface Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Offering
    • 9.2.2. By Application
    • 9.2.3. By Industry Vertical
    • 9.2.4. By Country
      • 9.2.4.1. Germany Voice User Interface Market Outlook
        • 9.2.4.1.1. Market Size & Forecast
        • 9.2.4.1.1.1. By Value
        • 9.2.4.1.2. Market Share & Forecast
        • 9.2.4.1.2.1. By Offering
        • 9.2.4.1.2.2. By Application
        • 9.2.4.1.2.3. By Industry Vertical
      • 9.2.4.2. France Voice User Interface Market Outlook
        • 9.2.4.2.1. Market Size & Forecast
        • 9.2.4.2.1.1. By Value
        • 9.2.4.2.2. Market Share & Forecast
        • 9.2.4.2.2.1. By Offering
        • 9.2.4.2.2.2. By Application
        • 9.2.4.2.2.3. By Industry Vertical
      • 9.2.4.3. United Kingdom Voice User Interface Market Outlook
        • 9.2.4.3.1. Market Size & Forecast
        • 9.2.4.3.1.1. By Value
        • 9.2.4.3.2. Market Share & Forecast
        • 9.2.4.3.2.1. By Offering
        • 9.2.4.3.2.2. By Application
        • 9.2.4.3.2.3. By Industry Vertical
      • 9.2.4.4. Italy Voice User Interface Market Outlook
        • 9.2.4.4.1. Market Size & Forecast
        • 9.2.4.4.1.1. By Value
        • 9.2.4.4.2. Market Share & Forecast
        • 9.2.4.4.2.1. By Offering
        • 9.2.4.4.2.2. By Application
        • 9.2.4.4.2.3. By Industry Vertical
      • 9.2.4.5. Spain Voice User Interface Market Outlook
        • 9.2.4.5.1. Market Size & Forecast
        • 9.2.4.5.1.1. By Value
        • 9.2.4.5.2. Market Share & Forecast
        • 9.2.4.5.2.1. By Offering
        • 9.2.4.5.2.2. By Application
        • 9.2.4.5.2.3. By Industry Vertical

10. South America Voice User Interface Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Offering
    • 10.2.2. By Application
    • 10.2.3. By Industry Vertical
    • 10.2.4. By Country
      • 10.2.4.1. Brazil Voice User Interface Market Outlook
        • 10.2.4.1.1. Market Size & Forecast
        • 10.2.4.1.1.1. By Value
        • 10.2.4.1.2. Market Share & Forecast
        • 10.2.4.1.2.1. By Offering
        • 10.2.4.1.2.2. By Application
        • 10.2.4.1.2.3. By Industry Vertical
      • 10.2.4.2. Colombia Voice User Interface Market Outlook
        • 10.2.4.2.1. Market Size & Forecast
        • 10.2.4.2.1.1. By Value
        • 10.2.4.2.2. Market Share & Forecast
        • 10.2.4.2.2.1. By Offering
        • 10.2.4.2.2.2. By Application
        • 10.2.4.2.2.3. By Industry Vertical
      • 10.2.4.3. Argentina Voice User Interface Market Outlook
        • 10.2.4.3.1. Market Size & Forecast
        • 10.2.4.3.1.1. By Value
        • 10.2.4.3.2. Market Share & Forecast
        • 10.2.4.3.2.1. By Offering
        • 10.2.4.3.2.2. By Application
        • 10.2.4.3.2.3. By Industry Vertical

11. Middle East & Africa Voice User Interface Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Offering
    • 11.2.2. By Application
    • 11.2.3. By Industry Vertical
    • 11.2.4. By Country
      • 11.2.4.1. Saudi Arabia Voice User Interface Market Outlook
        • 11.2.4.1.1. Market Size & Forecast
        • 11.2.4.1.1.1. By Value
        • 11.2.4.1.2. Market Share & Forecast
        • 11.2.4.1.2.1. By Offering
        • 11.2.4.1.2.2. By Application
        • 11.2.4.1.2.3. By Industry Vertical
      • 11.2.4.2. UAE Voice User Interface Market Outlook
        • 11.2.4.2.1. Market Size & Forecast
        • 11.2.4.2.1.1. By Value
        • 11.2.4.2.2. Market Share & Forecast
        • 11.2.4.2.2.1. By Offering
        • 11.2.4.2.2.2. By Application
        • 11.2.4.2.2.3. By Industry Vertical
      • 11.2.4.3. South Africa Voice User Interface Market Outlook
        • 11.2.4.3.1. Market Size & Forecast
        • 11.2.4.3.1.1. By Value
        • 11.2.4.3.2. Market Share & Forecast
        • 11.2.4.3.2.1. By Offering
        • 11.2.4.3.2.2. By Application
        • 11.2.4.3.2.3. By Industry Vertical

12. Asia Pacific Voice User Interface Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Size & Forecast
    • 12.2.1. By Offering
    • 12.2.2. By Application
    • 12.2.3. By Industry Vertical
    • 12.2.4. By Country
      • 12.2.4.1. China Voice User Interface Market Outlook
        • 12.2.4.1.1. Market Size & Forecast
        • 12.2.4.1.1.1. By Value
        • 12.2.4.1.2. Market Share & Forecast
        • 12.2.4.1.2.1. By Offering
        • 12.2.4.1.2.2. By Application
        • 12.2.4.1.2.3. By Industry Vertical
      • 12.2.4.2. India Voice User Interface Market Outlook
        • 12.2.4.2.1. Market Size & Forecast
        • 12.2.4.2.1.1. By Value
        • 12.2.4.2.2. Market Share & Forecast
        • 12.2.4.2.2.1. By Offering
        • 12.2.4.2.2.2. By Application
        • 12.2.4.2.2.3. By Industry Vertical
      • 12.2.4.3. Japan Voice User Interface Market Outlook
        • 12.2.4.3.1. Market Size & Forecast
        • 12.2.4.3.1.1. By Value
        • 12.2.4.3.2. Market Share & Forecast
        • 12.2.4.3.2.1. By Offering
        • 12.2.4.3.2.2. By Application
        • 12.2.4.3.2.3. By Industry Vertical
      • 12.2.4.4. South Korea Voice User Interface Market Outlook
        • 12.2.4.4.1. Market Size & Forecast
        • 12.2.4.4.1.1. By Value
        • 12.2.4.4.2. Market Share & Forecast
        • 12.2.4.4.2.1. By Offering
        • 12.2.4.4.2.2. By Application
        • 12.2.4.4.2.3. By Industry Vertical
      • 12.2.4.5. Australia Voice User Interface Market Outlook
        • 12.2.4.5.1. Market Size & Forecast
        • 12.2.4.5.1.1. By Value
        • 12.2.4.5.2. Market Share & Forecast
        • 12.2.4.5.2.1. By Offering
        • 12.2.4.5.2.2. By Application
        • 12.2.4.5.2.3. By Industry Vertical

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. Google LLC
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. Key Product/Services Offered
  • 15.2. Amazon.com, Inc.
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel
    • 15.2.5. Key Product/Services Offered
  • 15.3. Apple Inc.
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel
    • 15.3.5. Key Product/Services Offered
  • 15.4. Microsoft Corporation
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel
    • 15.4.5. Key Product/Services Offered
  • 15.5. Nuance Communications, Inc.
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel
    • 15.5.5. Key Product/Services Offered
  • 15.6. International Business Machines Corporation
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel
    • 15.6.5. Key Product/Services Offered
  • 15.7. Amazon Web Services, Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel
    • 15.7.5. Key Product/Services Offered
  • 15.8. Microsoft Azure
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel
    • 15.8.5. Key Product/Services Offered
  • 15.9. Google Cloud Platform
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel
    • 15.9.5. Key Product/Services Offered
  • 15.10. Dialog Semiconductor plc
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer

ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦