¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® º¸°í¼­ - Àü°³ ¸ðµåº°, À¯Çüº°, ºñÁî´Ï½º ±â´Éº°, Á¶Á÷ ±Ô¸ðº°, ¾÷°èº°, Áö¿ªº° Àü¸Á ¹× ¿¹Ãø(2024-2031³â)
Global Visual Analytics Market Size, Share & Trends Analysis Report By Deployment Mode (Cloud and On-premise), By Type (Solution and Services), By Business Function, By Organization Size, By Vertical, By Regional Outlook and Forecast, 2024 - 2031
»óǰÄÚµå : 1645309
¸®¼­Ä¡»ç : KBV Research
¹ßÇàÀÏ : 2025³â 01¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 378 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 3,600 £Ü 5,208,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 4,320 £Ü 6,250,000
PDF (Multi User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ 10¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 6,048 £Ü 8,750,000
PDF (Corporate User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå ±Ô¸ð´Â ¿¹Ãø ±â°£ µ¿¾È 17.3%ÀÇ ¿¬Æò±Õ º¹ÇÕ ¼ºÀå·ü(CAGR)·Î ½ÃÀå ¼ºÀåÇÒ Àü¸ÁÀ̸ç, 2031³â±îÁö 214¾ï 2,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

KBV Cardinal matrix¿¡ Á¦½ÃµÈ ºÐ¼®À» ¹ÙÅÁÀ¸·Î Microsoft Corporation°ú Google LLC´Â ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ ¼±±¸ÀÚÀÔ´Ï´Ù. Oracle Corporation, Cisco Systems, Inc. ¹× IBM Corporation°ú °°Àº ±â¾÷Àº ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå ÁÖ¿ä Çõ½ÅÀÚÀÇ ÀϺÎÀÔ´Ï´Ù. 2024³â 10¿ù, Oracle CorporationÀº µ¥ÀÌÅ͸¦ ÅëÇÕÇÏ¿© ÀλçÀÌÆ®¸¦ °¡¼ÓÈ­Çϰí, Ä¡·áÁ¦ Ãâ½Ã¸¦ ÃÖÀûÈ­Çϰí, ÀÓ»ó ¼³¹®Á¶»ç¿Í °ü¸®¸¦ ´Ù·ç´Â AI ±â¹Ý Ç÷§ÆûÀÎ Oracle Analytics Intelligence for Life Sciences¸¦ ¹ßÇ¥Çß½À´Ï´Ù. Oracle Cloud Infrastructure¿Í Health Data Intelligence¸¦ žÀçÇÏ°í ´Ù¾çÇÑ µ¥ÀÌÅÍ ¼¼Æ®¸¦ ÅëÇÕÇϰí ÇÐÁ¦ °£ Á¶»ç¸¦ Áö¿øÇÏ¸ç »çÀü ±¸ÃàµÈ ºÐ¼®°ú ½ÇÁ¦ µ¥ÀÌÅ͸¦ »ç¿ëÇÏ¿© ÀÇ»ç°áÁ¤À» °­È­ÇÕ´Ï´Ù.

½ÃÀå ¼ºÀå ¿äÀÎ

±â¼ú Çõ½ÅÀº ÀÌ·¯ÇÑ ½Ã°¢È­ µµ±¸¸¦ ±¸ÇöÇÏ´Â µ¥ µå´Â ºñ¿ë°ú º¹À⼺À» ÁÙ¿´½À´Ï´Ù. ¿ÀǼҽº Ç÷§Æû°ú Ŭ¶ó¿ìµå ±â¹Ý ¼Ö·ç¼ÇÀ» ÅëÇØ °í±Þ ½Ã°¢È­ ±â´ÉÀ» ÇÕ¸®ÀûÀÎ °¡°ÝÀ¸·Î È®ÀåÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ±â¼úÀÇ ¹ÎÁÖÈ­·Î Áß¼Ò±â¾÷À̳ª ½ÅÈï±â¾÷¿¡¼­µµ ¾öû³­ ºñ¿ëÀ» µéÀÌÁö ¾Ê°í ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º¸¦ Ȱ¿ëÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. µû¶ó¼­ ÀÌ·¯ÇÑ µµ±¸ÀÇ °¡¿ë¼º°ú Á¢±Ù¼ºÀÌ °è¼Ó Çâ»óµÇ¸é ¸ðµç ±Ô¸ðÀÇ Á¶Á÷ÀÌ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ¼Ö·ç¼ÇÀ» äÅÃÇÒ °¡´É¼ºÀÌ ³ô¾ÆÁý´Ï´Ù.

ºñ¿ëÀ» Àý°¨Çϸ鼭 °¡Ä¡¸¦ Á¦°øÇÏ´Â ¾Ð¹ÚÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ±â¾÷Àº ºñÁî´Ï½º È¿À²¼ºÀ» °³¼±Çϰí Àå±âÀûÀÎ ºñ¿ë Àý°¨ Àü·«À» Áö¿øÇϱâ À§ÇØ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º¿¡ ÁÖ¸ñÇϰí ÀÖ½À´Ï´Ù. ºñÁî´Ï½º ÃÖÀûÈ­¸¦ À§ÇØ µ¥ÀÌÅÍ ½Ã°¢È­ µµ±¸¸¦ »ç¿ëÇÏ´Â ±¸Ã¼ÀûÀÎ ÀÌÁ¡À» ÀνÄÇÏ´Â Á¶Á÷ÀÌ ´Ã¾î³²¿¡ µû¶ó ÀÌ·¯ÇÑ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä´Â °è¼Ó Áõ°¡ÇÒ °ÍÀÔ´Ï´Ù. ºñÁÖ¾ó ¾Ö³Î¸®Æ½½ºÀÇ ºñ¿ë ÀÌÁ¡, ƯÈ÷ ³¶ºñµÇ´Â ÀÚ¿øÀ» ÁÙÀ̰í Àü¹ÝÀûÀÎ »ý»ê¼ºÀ» Çâ»ó½ÃŰ´Â Á¡¿¡¼­ ºñ¿ë ÀǽÄÀÌ ³ô¾ÆÁö´Â ȯ°æ¿¡¼­ °æÀï·ÂÀ» À¯ÁöÇÏ·Á´Â ±â¾÷ÀÇ °æ¿ì ºñÁÖ¾ó ¾Ö³Î¸®Æ½½ºÀº ¸Å·ÂÀûÀÎ ÅõÀÚ°¡ µË´Ï´Ù. µû¶ó¼­ ºñÁî´Ï½º È¿À²¼º°ú ºñ¿ë ÃÖÀûÈ­¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁü¿¡ µû¶ó ½ÃÀå ¼ºÀåÀÌ ÃËÁøµË´Ï´Ù.

½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ

³ôÀº ±¸Çö ºñ¿ëÀº ¹Ýµå½Ã ¿µ±¸ÀûÀÎ Á¦¾àÀÌ ¾Æ´Õ´Ï´Ù. ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀåÀÌ Áö¼ÓÀûÀ¸·Î È®´ëµÊ¿¡ µû¶ó, ƯÈ÷ »õ·Î¿î ±â¼ú°ú Ç÷§ÆûÀÌ µµ±¸¸¦ »ç¿ëÇϱ⠽¬¿öÁö¸é¼­ ÀÌ·¯ÇÑ µµ±¸ÀÇ ºñ¿ëÀº ½Ã°£ÀÌ Áö³²¿¡ µû¶ó °¨¼ÒÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¶ÇÇÑ ±¸µ¶ ±â¹Ý ¶Ç´Â Á¾·® °ú±Ý ¸ðµ¨À» »ç¿ëÇÒ ¼ö ÀÖ´Â ±âȸ°¡ ´Ã¾î³ª¸é¼­ Á¶Á÷Àº ½Ã°£ÀÌ Áö³²¿¡ µû¶ó ºñ¿ëÀ» ºÐ»ê½ÃÄÑ Ãʱâ ÅõÀÚ¿Í °ü·ÃµÈ À繫 ºÎ´ãÀ» ÁÙÀÏ ¼ö ÀÖ½À´Ï´Ù. µû¶ó¼­ ±¸Çö ºñ¿ë°ú Ãʱâ ÅõÀÚ°¡ ³ôÀ¸¸é ½ÃÀå ¼ºÀåÀÌ ¹æÇص˴ϴÙ.

À¯Çüº° Àü¸Á

À¯Çü¿¡ µû¶ó ½ÃÀåÀº ¼Ö·ç¼Ç°ú ¼­ºñ½º·Î ³ª´¹´Ï´Ù. 2023³â¿¡´Â ¼­ºñ½º ºÎ¹®ÀÌ ½ÃÀå¿¡¼­ 40%ÀÇ ¼öÀÍ Á¡À¯À²À» Â÷ÁöÇß½À´Ï´Ù. ÀÌ ºÎ¹®¿¡´Â ÄÁ¼³ÆÃ, ±¸Çö, ±³À° µîÀÇ Àü¹® ¼­ºñ½º¿Í ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½Ã½ºÅÛÀÇ Áö¼ÓÀûÀÎ ¼º´É°ú ÃÖÀûÈ­¸¦ º¸ÀåÇÏ´Â °ü¸®Çü ¼­ºñ½º°¡ Æ÷ÇԵ˴ϴÙ. Á¶Á÷Àº ÀÌ·¯ÇÑ ¼­ºñ½º¿¡ µû¶ó ÀÚ½ÅÀÇ ¿ä±¸¿¡ µû¶ó ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ¼Ö·ç¼ÇÀ» »ç¿ëÀÚ Á¤ÀÇÇÏ°í ±âÁ¸ ½Ã½ºÅÛ°úÀÇ ¿øÈ°ÇÑ ÅëÇÕÀ» º¸ÀåÇÕ´Ï´Ù. µ¥ÀÌÅÍÀÇ º¹À⼺ÀÌ Áõ°¡ÇÏ°í ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º Ç÷§ÆûÀ» °ü¸®Çϱâ À§ÇÑ Àü¹®°¡ÀÇ Áö¿øÀÌ ÇÊ¿äÇÔ¿¡ µû¶ó ¼­ºñ½º ¼ö¿ä°¡ ³ô¾ÆÁ³À¸¸ç, ÀÌ ºÎ¹®Àº ½ÃÀå Àüü¿¡ Å©°Ô ±â¿©ÇÏ°Ô µÇ¾ú½À´Ï´Ù.

¼­ºñ½º Àü¸Á

¼­ºñ½º ºÎ¹®Àº Àü¹® ¼­ºñ½º¿Í °ü¸® ¼­ºñ½º·Î ´õ¿í ¼¼ºÐÈ­µË´Ï´Ù. 2023³â Àü¹® ¼­ºñ½º ºÎ¹®Àº ½ÃÀå¿¡¼­ 63%ÀÇ ¼öÀÍ Á¡À¯À²À» ±â·ÏÇß½À´Ï´Ù. Àü¹® ¼­ºñ½º¿¡´Â ÄÁ¼³ÆÃ, ½Ã½ºÅÛ ±¸Çö, ÅëÇÕ ¹× ±³À° ¼­ºñ½º°¡ Æ÷ÇԵǾî Á¶Á÷ÀÌ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ¼Ö·ç¼ÇÀ» äÅÃÇϰí ÃÖÀûÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº Çʿ信 µû¶ó ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º Ç÷§ÆûÀ» Á¶Á¤ÇÏ°í µµ±¸°¡ Á¶Á÷ÀÇ ¸ñÇ¥¿Í ¿öÅ©ÇÃ·Î¿Í ÀÏÄ¡Çϵµ·Ï Çϱâ À§ÇØ ÀÌ·¯ÇÑ ¼­ºñ½º¿¡ Á¡Á¡ ´õ ÀÇÁ¸Çϰí ÀÖ½À´Ï´Ù. Àü¹® ¼­ºñ½º ¼ö¿ä´Â ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º¸¦ óÀ½ ±¸ÇöÇÏ´Â ±â¾÷°ú ±âÁ¸ ½Ã½ºÅÛÀ» È®ÀåÇÏ´Â ±â¾÷ »çÀÌ¿¡¼­ ƯÈ÷ °­·ÂÇÕ´Ï´Ù.

ºñÁî´Ï½º ±â´Éº° Àü¸Á

ºñÁî´Ï½º ±â´ÉÀ» ±â¹ÝÀ¸·Î ½ÃÀåÀº ¿µ¾÷ ¸¶ÄÉÆÃ, ±ÝÀ¶ ¹× IT, °ø±Þ¸Á °ü¸®, ÀÎ»ç µîÀ¸·Î ºÐ·ùµË´Ï´Ù. ÆÇ¸Å ¸¶ÄÉÆÃ ºÎ¹®Àº 2023³â ½ÃÀå¿¡¼­ 32%ÀÇ ¼öÀÍ Á¡À¯À²À» ±â·ÏÇß½À´Ï´Ù. ÀÌ´Â ÁÖ·Î ¼ÒºñÀÚ Çൿ ÀÌÇØ, ¸¶ÄÉÆÃ Ä·ÆäÀÎ ÃÖÀûÈ­, ÆÇ¸Å Àü·« °³¼±À» À§ÇÑ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º µµ±¸¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁö±â ¶§¹®ÀÔ´Ï´Ù. ±â¾÷Àº ÀÌ·¯ÇÑ µµ±¸¸¦ Ȱ¿ëÇÏ¿© °í°´ µ¥ÀÌÅ͸¦ ºÐ¼®Çϰí, Ä·ÆäÀÎ ½ÇÀûÀ» ÃßÀûÇϰí, ½Ç½Ã°£À¸·Î ÆÇ¸Å µ¿ÇâÀ» ¿¹ÃøÇϸç, µ¥ÀÌÅÍ Áß½ÉÀÇ ÀÇ»ç °áÁ¤À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù.

Á¶Á÷ ±Ô¸ðº° Àü¸Á

Á¶Á÷ ±Ô¸ð¿¡ µû¶ó ½ÃÀåÀº Áß¼Ò±â¾÷°ú ´ë±â¾÷À¸·Î ºÐ·ùµË´Ï´Ù. Áß¼Ò±â¾÷ ºÎ¹®Àº 2023³â ½ÃÀå¿¡¼­ 37%ÀÇ ¼öÀÍ Á¡À¯À²À» ±â·ÏÇß½À´Ï´Ù. Áß¼Ò±â¾÷Àº ºñÁî´Ï½º È¿À²¼º Çâ»ó, °í°´ Çൿ ÀÌÇØ, µ¿Àû ½ÃÀå¿¡¼­ °æÀï·ÂÀ» À¯ÁöÇÏ´Â ºñÁÖ¾ó ¾Ö³Î¸®Æ½½ºÀÇ °¡Ä¡¸¦ Á¡Á¡ ÀνÄÇϰí ÀÖ½À´Ï´Ù. ºñ¿ë È¿À²ÀûÀΠŬ¶ó¿ìµå ±â¹Ý ºÐ¼® ¼Ö·ç¼ÇÀ» »ç¿ëÇÒ ¼ö ÀÖ°Ô µÇ¸é¼­ ÀÌ·¯ÇÑ µµ±¸´Â ¼Ò±Ô¸ð Á¶Á÷¿¡ ´õ ½±°Ô ¾×¼¼½ºÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º¸¦ Ȱ¿ëÇÏ¿© Áß¼Ò±â¾÷Àº Á¦ÇÑµÈ µ¥ÀÌÅͼ¼Æ®¿¡¼­ ÀλçÀÌÆ®¸¦ ¹àÈ÷°í µ¥ÀÌÅ͸¦ ±â¹ÝÀ¸·Î ÀÇ»ç °áÁ¤À» ³»¸®°í ¼ºÀåÀ» °¡¼ÓÇÒ ¼ö ÀÖ½À´Ï´Ù.

Àü°³ ¸ðµåº° Àü¸Á

Àü°³ ¸ðµåº°·Î º¼ ¶§ ½ÃÀåÀº Ŭ¶ó¿ìµå¿Í ¿ÂÇÁ·¹¹Ì½º·Î ³ª´¹´Ï´Ù. 2023³â¿¡´Â Ŭ¶ó¿ìµå ºÎ¹®ÀÌ ½ÃÀå¿¡¼­ 61%ÀÇ ¼öÀÍ Á¡À¯À²À» ±â·ÏÇß½À´Ï´Ù. Ŭ¶ó¿ìµå ±â¹ÝÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ¼Ö·ç¼ÇÀº È®À强, À¯¿¬¼º, ºñ¿ë È¿À²¼º µîÀ¸·Î ³Î¸® äÅõǾú½À´Ï´Ù. ¿£ÅÍÇÁ¶óÀÌÁî´Â ¾îµð¼­³ª µ¥ÀÌÅÍ ¹× ºÐ¼® µµ±¸¿¡ ¿øÈ°ÇÏ°Ô ¾×¼¼½ºÇÒ ¼ö ÀÖÀ¸¸ç ¿ø°Ý ¹× °øµ¿ ÀÛ¾÷ ȯ°æÀ» Áö¿øÇϴ Ŭ¶ó¿ìµå ¹èÆ÷¸¦ ´õ¿í ¼±È£ÇÕ´Ï´Ù.

¾÷°èº° Àü¸Á

¾÷°è¸¦ ±â¹ÝÀ¸·Î ½ÃÀåÀº BFSI, Á¤ºÎ, ¿¡³ÊÁö ¹× À¯Æ¿¸®Æ¼, °Ç°­ °ü¸®, Á¦Á¶, ¼Ò¸Å, Åë½Å ¹× IT µîÀ¸·Î ³ª´¹´Ï´Ù. BFSI ºÎ¹®Àº 2023³â ½ÃÀå¿¡¼­ 23%ÀÇ ¼öÀÍ Á¡À¯À²À» ȹµæÇß½À´Ï´Ù. ÀÌ·¯ÇÑ ÀÌÁ¡Àº ±ÝÀ¶±â°üÀÌ »ç±â °¨Áö, À§Çè °ü¸®, °í°´ ÀλçÀÌÆ®¸¦ À§ÇØ ´ë·®ÀÇ µ¥ÀÌÅ͸¦ °ü¸®ÇÏ°í ºÐ¼®ÇÒ Çʿ伺ÀÌ ³ô¾ÆÁü¿¡ µû¶ó ÃßÁøµÇ°í ÀÖ½À´Ï´Ù. ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º µµ±¸¸¦ »ç¿ëÇϸé ÀºÇà°ú ±ÝÀ¶ ¼­ºñ½º Á¦°ø¾÷ü°¡ ½Ç½Ã°£ ´ë½Ãº¸µå¸¦ ¸¸µé°í, °Å·¡¸¦ ¸ð´ÏÅ͸µÇϰí, °³ÀÎÈ­µÈ ¼­ºñ½º¸¦ ÅëÇØ °í°´ °æÇèÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. µðÁöÅÐ ¹ðÅ·°ú ÇÉÅØ ¼Ö·ç¼Ç äÅà Áõ°¡·Î BFSI ºÐ¾ß¿¡¼­ÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.

Áö¿ªº° Àü¸Á

Áö¿ªº°·Î º¸¸é ½ÃÀåÀº ºÏ¹Ì, À¯·´, ¾Æ½Ã¾ÆÅÂÆò¾ç, ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«¿¡ °ÉÃÄ ºÐ¼®µÇ°í ÀÖ½À´Ï´Ù. ºÏ¹Ì´Â 2023³â ½ÃÀå¿¡¼­ 38%ÀÇ ¼öÀÍ Á¡À¯À²À» ±â·ÏÇß½À´Ï´Ù. ÀÌ·¯ÇÑ ÀÌÁ¡Àº °í±Þ ºÐ¼® ±â¼úÀÇ Á¶±â µµÀÔ, °ß°íÇÑ IT ÀÎÇÁ¶ó ¹× ÀÌ Áö¿ªÀÇ ÁÖ¿ä ½ÃÀå ±â¾÷ÀÇ Á¸Àç·Î ÀÎÇÑ °ÍÀÔ´Ï´Ù. ºÏ¹ÌÀÇ BFSI, ÇコÄɾî, ¼Ò¸Å µîÀÇ ¾÷°è¿¡¼­´Â ÀÇ»ç°áÁ¤°ú ¿î¿µ È¿À²¼ºÀ» Çâ»ó½Ã۱â À§ÇØ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º°¡ ³Î¸® ä¿ëµÇ°í ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ½ÃÀå ¹üÀ§ ¹× Á¶»ç ¹æ¹ý

Á¦2Àå ½ÃÀå ¿ä¶÷

Á¦3Àå ½ÃÀå °³¿ä

Á¦4Àå °æÀï ºÐ¼®-¼¼°è

Á¦5Àå ¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : Àü°³ ¸ðµåº°

Á¦6Àå ¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : À¯Çüº°

Á¦7Àå ¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : ºñÁî´Ï½º ±â´Éº°

Á¦8Àå ¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : Á¶Á÷ ±Ô¸ðº°

Á¦9Àå ¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : ¾÷°èº°

Á¦10Àå ¼¼°èÀÇ ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀå : Áö¿ªº°

Á¦11Àå ±â¾÷ ÇÁ·ÎÆÄÀÏ

Á¦12Àå ºñÁÖ¾ó ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ ¼º°ø Çʼö Á¶°Ç

AJY
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

The Global Visual Analytics Market size is expected to reach $21.42 billion by 2031, rising at a market growth of 17.3% CAGR during the forecast period.

Telecom and IT companies utilize visual analytics to monitor network performance, optimize service delivery, and analyze customer data to enhance user experiences. Thus, in 2023, the telecom & IT segment procured 8% revenue share in the market. The increasing complexity of IT operations and the rising demand for efficient network management have fueled the adoption of visual analytics in this segment. Additionally, integrating AI and machine learning into visual analytics tools has empowered telecom and IT organizations to derive actionable insights from massive datasets.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In September, 2024, Salesforce, Inc. launched Tableau Einstein, an AI-powered visual analytics platform designed for scalable, data-driven decision-making. It integrates with Salesforce and third-party apps, enabling users to access insights in their workflow. Featuring autonomous agents, customizable dashboards, and a marketplace for sharing assets. Additionally, In June, 2024, TIBCO Software, Inc. unveiled EBX 6.2 enhances enterprise Data Management with features like automatic metadata harvesting, a next-gen customizable UI, improved data visualization, embedded scripting, streamlined APIs, and advanced permissions. Updates include better matching/merging, digital asset management, and staging improvements, enabling seamless governance, integration, and accessibility of critical business data.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Visual Analytics Market. Companies such as Oracle Corporation, Cisco Systems, Inc., and IBM Corporation are some of the key innovators in Visual Analytics Market. In October, 2024, Oracle Corporation launched Oracle Analytics Intelligence for Life Sciences, an AI-driven platform that unifies data to accelerate insights, optimize therapeutic launches, and bridge clinical research and care. Powered by Oracle Cloud Infrastructure and Health Data Intelligence, it integrates diverse datasets, supports multidisciplinary research, and enhances decision-making with pre-built analytics and real-world data.

Market Growth Factors

Technological innovations have reduced the cost and complexity of implementing these visualization tools. Open-source platforms and cloud-based solutions have made advanced visualization capabilities more affordable and scalable. This democratization of technology means that smaller businesses and startups can now take advantage of visual analytics without incurring prohibitive costs. Therefore, as the availability and accessibility of these tools continue to grow, organizations of all sizes are more likely to adopt visual analytics solutions.

With increasing pressure to deliver value while controlling expenses, businesses are turning to visual analytics to improve operational efficiency and support long-term cost-saving strategies. As more organizations become aware of the tangible benefits of using data visualization tools to optimize operations, the demand for such solutions will continue to grow. The cost benefits of visual analytics, particularly in terms of reducing wasted resources and improving overall productivity, make them an attractive investment for businesses striving to remain competitive in an increasingly cost-conscious environment. Hence, increasing focus on operational efficiency and cost optimization propels the market's growth.

Market Restraining Factors

The high cost of implementation is not necessarily a permanent constraint. As the market for visual analytics continues to grow, the cost of these tools is expected to decrease over time, particularly as new technologies and platforms make them more accessible. Additionally, the increasing availability of subscription-based or pay-as-you-go models allows organizations to spread the costs over time, reducing the financial burden associated with initial investments. Therefore, high implementation costs and initial investment hamper the market's growth.

Type Outlook

Based on type, the market is divided into solution and services. In 2023, the services segment held 40% revenue share in the market. This segment includes professional services, such as consulting, implementation, and training, as well as managed services that ensure the continuous performance and optimization of visual analytics systems. Organizations rely on these services to customize visual analytics solutions according to their unique needs and to ensure seamless integration with existing systems. The growing complexity of data and the need for expert support to manage visual analytics platforms have driven the demand for services, positioning this segment as a significant contributor to the overall market.

Services Outlook

The services segment is further subdivided into professional services and managed services. In 2023, the professional services segment registered 63% revenue share in the market. Professional services encompass consulting, system implementation, integration, and training services, which help organizations adopt and optimize visual analytics solutions. Businesses increasingly rely on these services to tailor visual analytics platforms to their needs, ensuring the tools align with organizational objectives and workflows. The demand for professional services is particularly strong among enterprises implementing visual analytics for the first time or expanding their existing systems.

Business Function Outlook

On the basis of business function, the market is segmented into sales & marketing, finance & IT, supply chain management, human resources, and others. The sales & marketing segment recorded 32% revenue share in the market in 2023. This is primarily due to the growing reliance on visual analytics tools to understand consumer behavior, optimize marketing campaigns, and improve sales strategies. Businesses leverage these tools to analyze customer data, track campaign performance, and forecast sales trends in real-time, enabling data-driven decision-making.

Organization Size Outlook

Based on organization size, the market is categorized into small & medium enterprises and large enterprises. The small & medium enterprises segment witnessed 37% revenue share in the market in 2023. SMEs increasingly recognize the value of visual analytics in improving operational efficiency, understanding customer behavior, and staying competitive in dynamic markets. The availability of cost-effective and cloud-based analytics solutions has made these tools more accessible to smaller organizations. By leveraging visual analytics, SMEs can uncover insights from limited datasets, enabling them to make data-driven decisions and drive growth.

Deployment Mode Outlook

By deployment mode, the market is divided into cloud and on-premise. In 2023, the cloud segment registered 61% revenue share in the market. Cloud-based visual analytics solutions have gained widespread adoption due to their scalability, flexibility, and cost-effectiveness. Businesses increasingly prefer cloud deployments, which allow seamless access to data and analytics tools from anywhere and support remote work and collaborative environments.

Vertical Outlook

Based on vertical, the market is divided into BFSI, government, energy & utilities, healthcare, manufacturing, retail, telecom & IT, and others. The BFSI segment attained 23% revenue share in the market in 2023. This dominance is driven by the increasing need for financial institutions to manage and analyze large volumes of data for fraud detection, risk management, and customer insights. Visual analytics tools enable banks and financial service providers to create real-time dashboards, monitor transactions, and enhance customer experiences through personalized services. The growing adoption of digital banking and fintech solutions has amplified the demand for visual analytics in the BFSI sector.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed 38% revenue share in the market in 2023. This dominance can be attributed to the early adoption of advanced analytics technologies, a robust IT infrastructure, and the presence of key market players in the region. Industries such as BFSI, healthcare, and retail in North America have widely embraced visual analytics to improve decision-making and operational efficiency.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Visual Analytics Market Report Segmentation

By Deployment Mode

By Type

By Business Function

By Organization Size

By Vertical

By Geography

Table of Contents

Chapter 1. Market Scope & Methodology

Chapter 2. Market at a Glance

Chapter 3. Market Overview

Chapter 4. Competition Analysis - Global

Chapter 5. Global Visual Analytics Market by Deployment Mode

Chapter 6. Global Visual Analytics Market by Type

Chapter 7. Global Visual Analytics Market by Business Function

Chapter 8. Global Visual Analytics Market by Organization Size

Chapter 9. Global Visual Analytics Market by Vertical

Chapter 10. Global Visual Analytics Market by Region

Chapter 11. Company Profiles

Chapter 12. Winning Imperatives of Visual Analytics Market

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â