½ÃÀ庸°í¼­
»óǰÄÚµå
1589299

¼¼°èÀÇ µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : ±¸¼º ¿ä¼Òº°, Á¶Á÷ ±Ô¸ðº°, ±â´Éº°, Àü°³ Çüź°, ¿ëµµº°, ¾÷Á¾º° ¿¹Ãø(2025-2030³â)

Data Discovery Market by Component (Consulting, Deployment & Integration, Services), Organization Size (Large Enterprises, Small & Medium-Sized Enterprises), Functionality, Deployment Mode, Application, Vertical - Global Forecast 2025-2030

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: 360iResearch | ÆäÀÌÁö Á¤º¸: ¿µ¹® 195 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡á º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼ÛÀÏÁ¤Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀåÀÇ 2023³â ½ÃÀå ±Ô¸ð´Â 113¾ï 5,000¸¸ ´Þ·¯·Î, 2024³â¿¡´Â 131¾ï 5,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, º¹ÇÕ ¿¬°£ ¼ºÀå·ü(CAGR) 16.18%·Î ¼ºÀåÇÏ¿©, 2030³â¿¡´Â 324¾ï 5,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸®ÀÇ ¹üÀ§¿Í Á¤ÀÇ¿¡´Â ´ë·®ÀÇ µ¥ÀÌÅ͸¦ ¼öÁý, ºÐ¼® ¹× ÇØ¼®ÇÏ¿© ºñÁî´Ï½º Àü·«¿¡ µµ¿òÀÌ µÇ´Â ±ÍÁßÇÑ ÀλçÀÌÆ®À» ÆÄ¾ÇÇÏ´Â ÇÁ·Î¼¼½º°¡ Æ÷ÇԵ˴ϴÙ. ±×¸®°í ÀÇ»ç °áÁ¤ ÇÁ·Î¼¼½º¸¦ °­È­ÇÏ°í °æÀï ¿ìÀ§¸¦ À°¼ºÇÏ´Â ´É·Â¿¡ ÀÖ½À´Ï´Ù. ¼Ò¸Å¾÷, ÀÇ·á, ±ÝÀ¶, Á¦Á¶¾÷ µî ´Ù¾çÇÑ »ê¾÷¿¡ °ÉÃÄ ÀÖÀ¸¸ç, µ¥ÀÌÅÍ ÁÖµµ ÀλçÀÌÆ®À» ÅëÇØ ¾÷¹«¸¦ ÃÖÀûÈ­ÇÏ°í °í°´ °æÇèÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ¼¼ºÐÈ­, ¸®½ºÅ© °ü¸® µîÀÌ Æ÷ÇÔµÇ¾î ±â¾÷Àº ½ÃÀå º¯È­¿¡ È¿°úÀûÀ¸·Î ´ëÀÀÇÒ ¼ö ÀÖ½À´Ï´Ù.

ÁÖ¿ä ½ÃÀå Åë°è
±âÁسâ (2023³â) 113¾ï 5,000¸¸ ´Þ·¯
¿¹Ãø³â(2024³â) 131¾ï 5,000¸¸ ´Þ·¯
¿¹Ãø³â(2030³â) 324¾ï 5,000¸¸ ´Þ·¯
º¹ÇÕ ¿¬°£ ¼ºÀå·ü(CAGR)(%) 16.18%

µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸®ÀÇ ¼ºÀå ¿äÀÎÀ¸·Î´Â µ¥ÀÌÅÍ »ý¼ºÀÇ ±Þ°ÝÇÑ Áõ°¡, ¸Ó½Å·¯´× ¹× ÀΰøÁö´É(AI) ±â¼úÀÇ Áøº¸, ½Ç½Ã°£ ºÐ¼®¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡ µîÀÌ ÀÖ½À´Ï´Ù. °³ÀÎÈ­µÈ °í°´ °æÇè°ú ºñÁî´Ï½º È¿À²¼º¿¡ ´ëÇÑ ¿ä±¸°¡ Áõ°¡ÇÔ¿¡ µû¶ó µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ¼Ö·ç¼ÇÀ» äÅÃÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ÇöÀçÀÇ µ¿ÇâÀº µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ÇÁ·Î¼¼½º¿¡¼­ AI¿Í ÀÚµ¿È­ÀÇ ÅëÇÕ, Á¤¹Ðµµ¿Í È¿À²ÀÇ Çâ»ó, ¼¿ÇÁ ¼­ºñ½º ºÐ¼® Ç÷§Æû Áõ°¡ °æÇâ¿¡ ÀÖÀ¸¸ç, ±â¼úÀûÀÎ Àü¹® Áö½ÄÀÌ ¾ø´Â »ç¿ëÀÚµµ µ¶ÀÚÀûÀ¸·Î µ¥ÀÌÅ͸¦ Ž»öÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. ±×·¯³ª µ¥ÀÌÅÍ °Å¹ö³Í½ºÀÇ º¹À⼺, ÇÁ¶óÀ̹ö½Ã ¿ì·Á, ºñÁ¤Çü µ¥ÀÌÅÍ Ãë±ÞÀÇ ¾î·Á¿òÀº ½ÃÀå ¼ºÀå¿¡ Á¦¾àÀ» ÁÖ°í ÀÖ½À´Ï´Ù.

±â¾÷µé¿¡°Ô °ß°íÇÑ µ¥ÀÌÅÍ °Å¹ö³Í½º ÇÁ·¹ÀÓ¿öÅ©¿¡ ÅõÀÚÇÏ°í µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ´ëÃ¥À» ¼±È£ÇÏ´Â °ÍÀº ÀÌ·¯ÇÑ Àå¾Ö¹°À» ±Øº¹ÇÏ´Â µ¥ ÇʼöÀûÀÔ´Ï´Ù. ¶ÇÇÑ º¸¾ÈÀ» Èñ»ýÇÏÁö ¾Ê°í µ¥ÀÌÅÍ ¾×¼¼½º¸¦ ¹ÎÁÖÈ­ÇÏ´Â Á÷°üÀûÀÎ Ç÷§Æû °³¹ß¿¡ ÁÖ·ÂÇÔÀ¸·Î½á ½ÃÀåÀÇ ¹Ø´ÜÀ» ³ÐÈú ¼ö ÀÖ½À´Ï´Ù. Çõ½ÅÀûÀÎ ºÎ¹®À¸·Î´Â º¸´Ù »ç¿ëÇϱ⠽¬¿î µ¥ÀÌÅÍ »óÈ£ÀÛ¿ëÀ» À§ÇÑ ÀÚ¿¬¾î ó¸®(NLP)ÀÇ ÅëÇÕ°ú ¾ÈÀüÇÑ µ¥ÀÌÅÍ °ü¸®¸¦ À§ÇÑ ºí·ÏüÀÎÀÇ ÀÌ¿ëÀÌ Æ÷ÇԵ˴ϴÙ. Àü¹ÝÀûÀ¸·Î ½ÃÀåÀÇ º»ÁúÀº ¿ªµ¿ÀûÀÌ¸ç ±â¼úÀÇ Áøº¸°¡ Áö¼ÓÀûÀ¸·Î »óȲÀ» ¹Ù²Ù°í ÀÖ½À´Ï´Ù. ºÐ¼®ÀÇ Çõ½ÅÀ» ¹Þ¾ÆµéÀ̰í, µ¥ÀÌÅÍ °Å¹ö³Í½º¸¦ ¼±È£Çϸç, »ç¿ëÀÚ Ä£È­ÀûÀÎ ¼Ö·ç¼Ç¿¡ ÁÖ·ÂÇÏ´Â ±â¾÷Àº Å« ºñÁî´Ï½º ¼ºÀåÀ» ÀÌ·ê ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ : ºü¸£°Ô ÁøÈ­ÇÏ´Â µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀåÀÇ ÁÖ¿ä ½ÃÀå ÀλçÀÌÆ® °ø°³

µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀåÀº ¼ö¿ä ¹× °ø±ÞÀÇ ¿ªµ¿ÀûÀÎ »óÈ£ÀÛ¿ë¿¡ ÀÇÇØ º¯¸ð¸¦ ÀÌ·ç°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½ÃÀå ¿ªÇÐÀÇ ÁøÈ­¸¦ ÀÌÇØÇÔÀ¸·Î½á ±â¾÷Àº ÃæºÐÇÑ Á¤º¸¸¦ ¹ÙÅÁÀ¸·Î ÅõÀÚ°áÁ¤, Àü·«Àû °áÁ¤ Á¤¹ÐÈ­, »õ·Î¿î ºñÁî´Ï½º ±âȸ ȹµæ¿¡ ´ëºñÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ µ¿ÇâÀ» Á¾ÇÕÀûÀ¸·Î ÆÄ¾ÇÇÔÀ¸·Î½á ±â¾÷Àº Á¤Ä¡Àû, Áö¸®Àû, ±â¼úÀû, »çȸÀû, °æÁ¦ÀûÀÎ ¿µ¿ª¿¡ °ÉÄ£ ´Ù¾çÇÑ ¸®½ºÅ©¸¦ °æ°¨ÇÒ ¼ö ÀÖÀ½°ú µ¿½Ã¿¡, ¼ÒºñÀÚ Çൿ°ú ±×°ÍÀÌ Á¦Á¶ ºñ¿ëÀ̳ª ±¸¸Å µ¿Çâ¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» º¸´Ù ¸íÈ®ÇÏ°Ô ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

  • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
    • ¸ð´ÏÅ͸µ ÇÁ·Î¼¼½º¿¡¼­ÀÇ µ¥ÀÌÅÍ ºÐ¼®ÀÇ Á߿伺 Áõ°¡
    • ±â¾÷ÀÌ Ã¤¿ëÇÏ´Â µ¥ÀÌÅÍ ÁÖµµÀÇ ÀÇ»ç°áÁ¤°ú Á¢±Ù
    • ÀÌÇØÇϱ⠽¬¿î µ¥ÀÌÅÍÀÇ ½Ã°¢È­¿¡ ´ëÇÑ ¼ÒºñÀÚÀÇ °æÇâ
  • ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ
    • µ¥ÀÌÅÍ º¸Á¸¿¡ ¼ö¹ÝÇÏ´Â µ¥ÀÌÅÍ º¸¾È°ú ÇÁ¶óÀ̹ö½Ã¿¡ ´ëÇÑ ¿ì·Á
  • ½ÃÀå ±âȸ
    • µ¥ÀÌÅÍ Ã³¸® ´É·Â, µ¥ÀÌÅÍ·®, µ¥ÀÌÅÍÀÇ ´Ù¾ç¼ºÀ» Çâ»ó½Ã۱â À§ÇÑ ±â¼úÀû Áøº¸
    • ÀΰøÁö´É(AI) ±â¼ú ¹× ±âŸ °­·ÂÇÑ µµ±¸¸¦ µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ¼Ö·ç¼Ç¿¡ ÅëÇÕ
  • ½ÃÀåÀÇ °úÁ¦
    • µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ±â¹ýÀÇ µµÀÔ¿¡ ÇÊ¿äÇÑ Ãʱ⠺ñ¿ë°ú ½Ã°£

Porter's Five Forces : µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀåÀ» Ž»öÇÏ´Â Àü·« µµ±¸

Porter's Five Forces Framework´Â µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå °æÀï ±¸µµ¸¦ ÀÌÇØÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. Porter's Five Forces Framework´Â ±â¾÷ÀÇ °æÀïÀ» Æò°¡Çϰí Àü·«Àû ±âȸ¸¦ ޱ¸ÇÏ´Â ¸íÈ®ÇÑ ±â¼úÀ» ¼³¸íÇÕ´Ï´Ù. ÀÌ ÇÁ·¹ÀÓ¿öÅ©´Â ±â¾÷ÀÌ ½ÃÀå ³» ¼¼·Âµµ¸¦ Æò°¡ÇÏ°í ½Å±Ô »ç¾÷ÀÇ ¼öÀͼºÀ» °áÁ¤ÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ÀÌ·¯ÇÑ ÀλçÀÌÆ®À» ÅëÇØ ±â¾÷Àº ÀÚ»çÀÇ °­Á¡À» Ȱ¿ëÇÏ°í ¾àÁ¡À» ÇØ°áÇϰí ÀáÀçÀûÀÎ °úÁ¦¸¦ ÇÇÇÒ ¼ö ÀÖÀ¸¸ç º¸´Ù °­ÀÎÇÑ ½ÃÀå¿¡¼­ÀÇ Æ÷Áö¼Å´×À» È®º¸ÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå¿¡¼­ ¿ÜºÎ ¿µÇâÀ» ÆÄ¾Ç

¿ÜºÎ °Å½Ã ȯ°æ ¿äÀÎÀº µ¥ÀÌÅÍ ¹ß°ß ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇϴµ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Á¤Ä¡Àû, °æÁ¦Àû, »çȸÀû, ±â¼úÀû, ¹ýÀû, ȯ°æÀû ¿äÀÎ ºÐ¼®Àº ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÑ Á¤º¸¸¦ ¼³¸íÇÕ´Ï´Ù. PESTLE ¿äÀÎÀ» Á¶»çÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀûÀÎ À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®À» ÅëÇØ ±â¾÷Àº ±ÔÁ¦, ¼ÒºñÀÚ ¼±È£, °æÁ¦ µ¿ÇâÀÇ º¯È­¸¦ ¿¹ÃøÇÏ°í ¾ÕÀ¸·Î ¿¹»óµÇ´Â Àû±ØÀûÀÎ ÀÇ»ç °áÁ¤À» ÇÒ Áغñ¸¦ ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® : µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå¿¡¼­ °æÀï ±¸µµ ÆÄ¾Ç

µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ °ø±Þ¾÷üÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ¼öÀÍ, °í°´ ±â¹Ý, ¼ºÀå·ü µî ÁÖ¿ä ÁöÇ¥¸¦ ºñ±³ÇÏ¿© °æÀï Æ÷Áö¼Å´×À» ¹àÈú ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®À» ÅëÇØ ½ÃÀå ÁýÁß, ¼¼ºÐÈ­ ¹× ÅëÇÕ µ¿ÇâÀ» ¹àÇô³»°í °ø±Þ¾÷ü´Â °æÀïÀÌ Ä¡¿­ÇØÁü¿¡ µû¶ó ÀÚ»çÀÇ ÁöÀ§¸¦ ³ôÀÌ´Â Àü·«Àû ÀÇ»ç °áÁ¤À» ³»¸®´Â µ¥ ÇÊ¿äÇÑ Áö½ÄÀ» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º : µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå¿¡¼­ °ø±Þ¾÷üÀÇ ¼º´É Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå¿¡¼­ °ø±Þ¾÷ü¸¦ Æò°¡ÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ÀÌ Çà·ÄÀ» ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº °ø±Þ¾÷üÀÇ ºñÁî´Ï½º Àü·«°ú Á¦Ç° ¸¸Á·µµ¸¦ ±âÁØÀ¸·Î Æò°¡ÇÏ¿© ¸ñÇ¥¿¡ ¸Â´Â ÃæºÐÇÑ Á¤º¸¸¦ ¹ÙÅÁÀ¸·Î ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù. ³× °¡Áö »çºÐ¸éÀ» ÅëÇØ °ø±Þ¾÷ü¸¦ ¸íÈ®Çϰí Á¤È®ÇÏ°Ô ¼¼ºÐÈ­ÇÏ¿© Àü·« ¸ñÇ¥¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê ¹× ¼Ö·ç¼ÇÀ» ÆÄ¾ÇÇÒ ¼ö ÀÖ½À´Ï´Ù.

Àü·« ºÐ¼® ¹× Ãßõ: µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå¿¡¼­ ¼º°øÀ» À§ÇÑ ±æÀ» ±×¸®±â

µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀåÀÇ Àü·« ºÐ¼®Àº ½ÃÀå¿¡¼­ÀÇ Á¸À縦 °­È­ÇÏ·Á´Â ±â¾÷¿¡ ÇʼöÀûÀÔ´Ï´Ù. ÁÖ¿ä ÀÚ¿ø, ´É·Â ¹× ¼º°ú ÁöÇ¥¸¦ °ËÅäÇÔÀ¸·Î½á ±â¾÷Àº ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í °³¼±À» À§ÇØ ³ë·ÂÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ Á¢±Ù¹ýÀ» ÅëÇØ °æÀï ±¸µµ¿¡¼­ °úÁ¦¸¦ ±Øº¹ÇÏ°í »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Ȱ¿ëÇÏ¿© Àå±âÀûÀÎ ¼º°øÀ» °ÅµÑ ¼ö Àִ üÁ¦¸¦ ¸¶·ÃÇÒ ¼ö ÀÖ½À´Ï´Ù.

ÀÌ º¸°í¼­´Â ÁÖ¿ä °ü½É ºÐ¾ß¸¦ ´Ù·ç´Â ½ÃÀå¿¡ ´ëÇÑ Á¾ÇÕÀûÀÎ ºÐ¼®À» Á¦°øÇÕ´Ï´Ù.

1. ½ÃÀå ħÅõ : ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä, ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅÍ, ½ÃÀå µµ´Þ¹üÀ§ ¹× Àü¹ÝÀûÀÎ ¿µÇâ·ÂÀ» Æò°¡ÇÕ´Ï´Ù.

2. ½ÃÀå °³Ã´µµ : ½ÅÈï ½ÃÀåÀÇ ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇϰí, ±âÁ¸ ºÎ¹®¿¡¼­ÀÇ È®Àå °¡´É¼ºÀ» Æò°¡Çϸç, ¹Ì·¡ ¼ºÀåÀ» À§ÇÑ Àü·«Àû ·Îµå¸ÊÀ» ¼³¸íÇÕ´Ï´Ù.

3. ½ÃÀå ´Ù¾çÈ­ : ÃÖ±Ù Á¦Ç° Ãâ½Ã, ¹Ì°³Ã´ Áö¿ª, »ê¾÷ÀÇ ÁÖ¿ä Áøº¸, ½ÃÀåÀ» Çü¼ºÇÏ´Â Àü·«Àû ÅõÀÚ¸¦ ºÐ¼®ÇÕ´Ï´Ù.

4. °æÀï Æò°¡ ¹× Á¤º¸ : °æÀï ±¸µµ¸¦ öÀúÈ÷ ºÐ¼®ÇÏ¿© ½ÃÀå Á¡À¯À², »ç¾÷ Àü·«, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÀÎÁõ, ±ÔÁ¦ ´ç±¹ ½ÂÀÎ, ƯÇã µ¿Çâ, ÁÖ¿ä ±â¾÷ÀÇ ±â¼ú Áøº¸ µîÀ» °ËÁõÇÕ´Ï´Ù.

5. Á¦Ç° °³¹ß ¹× Çõ½Å : ¹Ì·¡ ½ÃÀå ¼ºÀåÀ» °¡¼ÓÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ÃÖ÷´Ü ±â¼ú, R&D Ȱµ¿, Á¦Ç° Çõ½ÅÀ» °­Á¶ÇÕ´Ï´Ù.

¶ÇÇÑ ÀÌÇØ°ü°èÀÚ°¡ ÃæºÐÇÑ Á¤º¸¸¦ ¾òÀº ÈÄ ÀÇ»ç°áÁ¤ÇÒ ¼ö ÀÖµµ·Ï Áß¿äÇÑ Áú¹®¿¡µµ ´ë´äÇϰí ÀÖ½À´Ï´Ù.

1. ÇöÀç ½ÃÀå ±Ô¸ð¿Í ÇâÈÄ ¼ºÀå ¿¹ÃøÀº?

2. ÃÖ°íÀÇ ÅõÀÚ ±âȸ¸¦ Á¦°øÇÏ´Â Á¦Ç°, Áö¿ªÀº ¾îµðÀԴϱî?

3. ½ÃÀåÀ» Çü¼ºÇÏ´Â ÁÖ¿ä ±â¼ú µ¿Çâ°ú ±ÔÁ¦ÀÇ ¿µÇâÀº?

4. ÁÖ¿ä º¥´õÀÇ ½ÃÀå Á¡À¯À²°ú °æÀï Æ÷Áö¼ÇÀº?

5. º¥´õ ½ÃÀå ÁøÀÔ, ö¼ö Àü·«ÀÇ ¿øµ¿·ÂÀÌ µÇ´Â ¼öÀÍ¿ø°ú Àü·«Àû ±âȸ´Â ¹«¾ùÀΰ¡?

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ½ÃÀå °³¿ä

Á¦5Àå ½ÃÀå ÀλçÀÌÆ®

  • ½ÃÀå ¿ªÇÐ
    • ¼ºÀå ÃËÁø¿äÀÎ
      • °¨½Ã ÇÁ·Î¼¼½º¿¡ À־ÀÇ µ¥ÀÌÅÍ ºÐ¼®ÀÇ Á߿伺ÀÌ ³ô¾ÆÁö°í ÀÖ´Ù
      • ±â¾÷ÀÌ Ã¤¿ëÇÏ´Â µ¥ÀÌÅÍ ÁÖµµÀÇ ÀÇ»ç°áÁ¤°ú Á¢±Ù
      • ¼ÒºñÀÚ´Â ÀÌÇØÇϱ⠽±µµ·Ï µ¥ÀÌÅ͸¦ ½Ã°¢È­ÇÏ´Â °æÇâÀÌ ÀÖ´Ù
    • ¾ïÁ¦¿äÀÎ
      • µ¥ÀÌÅÍ ÀúÀå°ú °ü·ÃµÈ µ¥ÀÌÅÍ º¸¾È ¹× °³ÀÎ Á¤º¸ º¸È£ ¿ì·Á
    • ±âȸ
      • µ¥ÀÌÅÍ Ã³¸® ´É·Â, µ¥ÀÌÅÍ·®, µ¥ÀÌÅÍ À¯ÇüÀ» Çâ»ó½Ã۱â À§Çؼ­ ÇàÇØÁø ±â¼úÀû Áøº¸
      • ÀΰøÁö´É(AI) ±â¼ú ¹× ±âŸ °­·ÂÇÑ µµ±¸¸¦ µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ¼Ö·ç¼Ç¿¡ ÅëÇÕ
    • °úÁ¦
      • µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ¹æ½ÄÀÇ µµÀÔ¿¡ ÇÊ¿äÇÑ Ãʱ⠺ñ¿ë°ú ½Ã°£
  • ½ÃÀå ¼¼ºÐÈ­ ºÐ¼®
  • Porter's Five Forces ºÐ¼®
  • PESTEL ºÐ¼®
    • Á¤Ä¡
    • °æÁ¦
    • »çȸ
    • ±â¼ú
    • ¹ý·ü
    • ȯ°æ

Á¦6Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : ±¸¼º¿ä¼Òº°

  • ¼Ò°³
  • ÄÁ¼³ÆÃ
  • ¹èÆ÷ ¹× ÅëÇÕ
  • ¼­ºñ½º
    • °ü¸® ¼­ºñ½º
    • Àü¹® ¼­ºñ½º
  • ¼Ö·ç¼Ç
  • Áö¿ø ¹× À¯Áö º¸¼ö

Á¦7Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : Á¶Á÷ ±Ô¸ðº°

  • ¼Ò°³
  • ´ë±â¾÷
  • Áß¼Ò±â¾÷

Á¦8Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : ±â´Éº°

  • ¼Ò°³
  • È®Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸®
  • °Ë»ö ±â¹Ý µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸®
  • ¼¿ÇÁ ¼­ºñ½º µ¥ÀÌÅÍ Áغñ
  • ºñÁÖ¾ó µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸®

Á¦9Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : Àü°³ Çüź°

  • ¼Ò°³
  • Ŭ¶ó¿ìµå
    • ÇÏÀ̺긮µå Ŭ¶ó¿ìµå
    • ÇÁ¶óÀ̺ø Ŭ¶ó¿ìµå
    • ÆÛºí¸¯ Ŭ¶ó¿ìµå
  • ¿ÂÇÁ·¹¹Ì½º

Á¦10Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : ¿ëµµº°

  • ¼Ò°³
  • ÀÚ»ê¿î¿ë°ü¸®
  • À§Ä¡ ÀÎÅÚ¸®Àü½º
  • ³×Æ®¿öÅ© °ü¸®
  • ÆÇ¸Å ¹× ¸¶ÄÉÆÃ °ü¸®
  • º¸¾È ¹× ¸®½ºÅ© °ü¸®
  • ¼Ò¼È ³×Æ®¿öÅ© ºÐ¼®
  • °ø±Þ¸Á °ü¸®
  • ÀÎÀç °ü¸®

Á¦11Àå µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå : ¾÷Á¾º°

  • ¼Ò°³
  • BFSI
  • ±³À°
  • ¿¡³ÊÁö, À¯Æ¿¸®Æ¼
  • Á¤ºÎ
  • ÀÇ·á ¹× »ý¸í °úÇÐ
  • Á¦Á¶¾÷
  • ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ¼Ò¸Å
  • Åë½Å ¹× IT
  • ¿î¼Û ¹× ¹°·ù
  • ¿©Çà ¹× È£½ºÇÇÅ»¸®Æ¼

Á¦12Àå ¾Æ¸Þ¸®Ä«ÀÇ µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå

  • ¼Ò°³
  • ¾Æ¸£ÇîÆ¼³ª
  • ºê¶óÁú
  • ij³ª´Ù
  • ¸ß½ÃÄÚ
  • ¹Ì±¹

Á¦13Àå ¾Æ½Ã¾ÆÅÂÆò¾ç µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå

  • ¼Ò°³
  • È£ÁÖ
  • Áß±¹
  • Àεµ
  • Àεµ³×½Ã¾Æ
  • ÀϺ»
  • ¸»·¹À̽þÆ
  • Çʸ®ÇÉ
  • ½Ì°¡Æ÷¸£
  • Çѱ¹
  • ´ë¸¸
  • ű¹
  • º£Æ®³²

Á¦14Àå À¯·´, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ µ¥ÀÌÅÍ µð½ºÄ¿¹ö¸® ½ÃÀå

  • ¼Ò°³
  • µ§¸¶Å©
  • ÀÌÁýÆ®
  • Çɶõµå
  • ÇÁ¶û½º
  • µ¶ÀÏ
  • À̽º¶ó¿¤
  • ÀÌÅ»¸®¾Æ
  • ³×´ú¶õµå
  • ³ªÀÌÁö¸®¾Æ
  • ³ë¸£¿þÀÌ
  • Æú¶õµå
  • īŸ¸£
  • ·¯½Ã¾Æ
  • »ç¿ìµð¾Æ¶óºñ¾Æ
  • ³²¾ÆÇÁ¸®Ä«
  • ½ºÆäÀÎ
  • ½º¿þµ§
  • ½ºÀ§½º
  • ÅÍŰ
  • ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
  • ¿µ±¹

Á¦15Àå °æÀï ±¸µµ

  • ½ÃÀå Á¡À¯À² ºÐ¼®(2023³â)
  • FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º(2023³â)
  • °æÀï ½Ã³ª¸®¿À ºÐ¼®
  • Àü·« ºÐ¼®°ú Á¦¾È

±â¾÷ ¸ñ·Ï

  • Alteryx, Inc.
  • Amazon Web Services, Inc.
  • Cloudera, Inc
  • Egnyte, Inc.
  • Fortra, LLC
  • Google, Inc.
  • International Business Machines Corporation
  • Micro Focus International PLC
  • Microsoft Corporation
  • MicroStrategy Incorporated
  • Netwrix Corporation
  • NowVertical Group Inc.
  • Oracle Corporation
  • PKWARE, Inc.
  • Salesforce.com, Inc
  • SAS Institute Inc.
  • SECURITI.ai
  • Spirion, LLC
  • Thales Group
  • Varonis Systems
BJH 24.11.21

The Data Discovery Market was valued at USD 11.35 billion in 2023, expected to reach USD 13.15 billion in 2024, and is projected to grow at a CAGR of 16.18%, to USD 32.45 billion by 2030.

The scope and definition of data discovery entail the process of collecting, analyzing, and interpreting large volumes of data to unearth valuable insights that inform business strategies. Its necessity lies in the capability to convert raw data into actionable intelligence, enhancing decision-making processes and fostering competitive advantage. The application spans across various industries, from retail and healthcare to finance and manufacturing, where data-driven insights can optimize operations and enhance customer experiences. The end-use scope includes market analysis, trend prediction, customer segmentation, and risk management, empowering businesses to respond effectively to market changes.

KEY MARKET STATISTICS
Base Year [2023] USD 11.35 billion
Estimated Year [2024] USD 13.15 billion
Forecast Year [2030] USD 32.45 billion
CAGR (%) 16.18%

Key influencing growth factors for data discovery include the exponential increase in data generation, advancements in machine learning and artificial intelligence (AI) technologies, and escalating demand for real-time analytics. The growing need for personalized customer experiences and operational efficiency drives the adoption of data discovery solutions. Current opportunities revolve around the integration of AI and automation in data discovery processes, enhancing accuracy and efficiency, and the growing trend towards self-service analytics platforms, allowing non-technical users to explore data independently. However, complexities in data governance, privacy concerns, and the challenges of handling unstructured data pose limitations to market growth.

For businesses, investing in robust data governance frameworks and prioritizing data privacy measures is essential to overcoming these hurdles. Additionally, focusing on developing intuitive platforms that democratize data access without compromising security can expand market reach. Areas of innovation include the incorporation of natural language processing (NLP) for more accessible data interaction and the use of blockchain for secure data management. Overall, the nature of the market is dynamic, with technology advancements continually reshaping the landscape. Companies that embrace innovation in analytics, prioritize data governance, and focus on user-friendly solutions stand to gain significant business growth.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Data Discovery Market

The Data Discovery Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing importance given to data analytics for the process of monitoring
    • Data-driven decision making and approach adopted by businesses
    • Consumer inclination towards data visualization for easy understanding
  • Market Restraints
    • Data security and privacy concerns associated with data storage
  • Market Opportunities
    • Technological advancements made to improve the data handling capabilities, volume of data, and variety of data
    • Integration of artificial intelligence (AI) technologies and other powerful tools to data discovery solutions
  • Market Challenges
    • Initial cost and time required to adopt the data discovery methods

Porter's Five Forces: A Strategic Tool for Navigating the Data Discovery Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Data Discovery Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Data Discovery Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Data Discovery Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Data Discovery Market

A detailed market share analysis in the Data Discovery Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Data Discovery Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Data Discovery Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Data Discovery Market

A strategic analysis of the Data Discovery Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Data Discovery Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Amazon Web Services, Inc., Cloudera, Inc, Egnyte, Inc., Fortra, LLC, Google, Inc., International Business Machines Corporation, Micro Focus International PLC, Microsoft Corporation, MicroStrategy Incorporated, Netwrix Corporation, NowVertical Group Inc., Oracle Corporation, PKWARE, Inc., Salesforce.com, Inc, SAS Institute Inc., SECURITI.ai, Spirion, LLC, Thales Group, and Varonis Systems.

Market Segmentation & Coverage

This research report categorizes the Data Discovery Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Component, market is studied across Consulting, Deployment & Integration, Services, Solutions, and Support & Maintenance. The Services is further studied across Managed Services and Professional Services.
  • Based on Organization Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises.
  • Based on Functionality, market is studied across Augmented Data Discovery, Search-Based Data Discovery, Self-Service Data Preparation, and Visual Data Discovery.
  • Based on Deployment Mode, market is studied across Cloud and On-Premises. The Cloud is further studied across Hybrid Cloud, Private Cloud, and Public Cloud.
  • Based on Application, market is studied across Asset Management, Location Intelligence, Network Management, Sales & Marketing Management, Security & Risk Management, Social Network Analysis, Supply Chain Management, and Workforce Management.
  • Based on Vertical, market is studied across BFSI, Education, Energy & Utilities, Government, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, Retail, Telecommunications & IT, Transportation & Logistics, and Travel & Hospitality.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing importance given to data analytics for the process of monitoring
      • 5.1.1.2. Data-driven decision making and approach adopted by businesses
      • 5.1.1.3. Consumer inclination towards data visualization for easy understanding
    • 5.1.2. Restraints
      • 5.1.2.1. Data security and privacy concerns associated with data storage
    • 5.1.3. Opportunities
      • 5.1.3.1. Technological advancements made to improve the data handling capabilities, volume of data, and variety of data
      • 5.1.3.2. Integration of artificial intelligence (AI) technologies and other powerful tools to data discovery solutions
    • 5.1.4. Challenges
      • 5.1.4.1. Initial cost and time required to adopt the data discovery methods
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Data Discovery Market, by Component

  • 6.1. Introduction
  • 6.2. Consulting
  • 6.3. Deployment & Integration
  • 6.4. Services
    • 6.4.1. Managed Services
    • 6.4.2. Professional Services
  • 6.5. Solutions
  • 6.6. Support & Maintenance

7. Data Discovery Market, by Organization Size

  • 7.1. Introduction
  • 7.2. Large Enterprises
  • 7.3. Small & Medium-Sized Enterprises

8. Data Discovery Market, by Functionality

  • 8.1. Introduction
  • 8.2. Augmented Data Discovery
  • 8.3. Search-Based Data Discovery
  • 8.4. Self-Service Data Preparation
  • 8.5. Visual Data Discovery

9. Data Discovery Market, by Deployment Mode

  • 9.1. Introduction
  • 9.2. Cloud
    • 9.2.1. Hybrid Cloud
    • 9.2.2. Private Cloud
    • 9.2.3. Public Cloud
  • 9.3. On-Premises

10. Data Discovery Market, by Application

  • 10.1. Introduction
  • 10.2. Asset Management
  • 10.3. Location Intelligence
  • 10.4. Network Management
  • 10.5. Sales & Marketing Management
  • 10.6. Security & Risk Management
  • 10.7. Social Network Analysis
  • 10.8. Supply Chain Management
  • 10.9. Workforce Management

11. Data Discovery Market, by Vertical

  • 11.1. Introduction
  • 11.2. BFSI
  • 11.3. Education
  • 11.4. Energy & Utilities
  • 11.5. Government
  • 11.6. Healthcare & Life Sciences
  • 11.7. Manufacturing
  • 11.8. Media & Entertainment
  • 11.9. Retail
  • 11.10. Telecommunications & IT
  • 11.11. Transportation & Logistics
  • 11.12. Travel & Hospitality

12. Americas Data Discovery Market

  • 12.1. Introduction
  • 12.2. Argentina
  • 12.3. Brazil
  • 12.4. Canada
  • 12.5. Mexico
  • 12.6. United States

13. Asia-Pacific Data Discovery Market

  • 13.1. Introduction
  • 13.2. Australia
  • 13.3. China
  • 13.4. India
  • 13.5. Indonesia
  • 13.6. Japan
  • 13.7. Malaysia
  • 13.8. Philippines
  • 13.9. Singapore
  • 13.10. South Korea
  • 13.11. Taiwan
  • 13.12. Thailand
  • 13.13. Vietnam

14. Europe, Middle East & Africa Data Discovery Market

  • 14.1. Introduction
  • 14.2. Denmark
  • 14.3. Egypt
  • 14.4. Finland
  • 14.5. France
  • 14.6. Germany
  • 14.7. Israel
  • 14.8. Italy
  • 14.9. Netherlands
  • 14.10. Nigeria
  • 14.11. Norway
  • 14.12. Poland
  • 14.13. Qatar
  • 14.14. Russia
  • 14.15. Saudi Arabia
  • 14.16. South Africa
  • 14.17. Spain
  • 14.18. Sweden
  • 14.19. Switzerland
  • 14.20. Turkey
  • 14.21. United Arab Emirates
  • 14.22. United Kingdom

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2023
  • 15.2. FPNV Positioning Matrix, 2023
  • 15.3. Competitive Scenario Analysis
  • 15.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Alteryx, Inc.
  • 2. Amazon Web Services, Inc.
  • 3. Cloudera, Inc
  • 4. Egnyte, Inc.
  • 5. Fortra, LLC
  • 6. Google, Inc.
  • 7. International Business Machines Corporation
  • 8. Micro Focus International PLC
  • 9. Microsoft Corporation
  • 10. MicroStrategy Incorporated
  • 11. Netwrix Corporation
  • 12. NowVertical Group Inc.
  • 13. Oracle Corporation
  • 14. PKWARE, Inc.
  • 15. Salesforce.com, Inc
  • 16. SAS Institute Inc.
  • 17. SECURITI.ai
  • 18. Spirion, LLC
  • 19. Thales Group
  • 20. Varonis Systems
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦