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AIOps Ç÷§Æû ½ÃÀå : ÄÄÆ÷³ÍÆ®, µµÀÔ, Á¶Á÷ ±Ô¸ð, ¿ëµµ, ¾÷°èº° - ¼¼°è ¿¹Ãø(2025-2030³â)

AIOps Platform Market by Component (Platform, Services), Deployment (Cloud, On-premise), Organization Size, Application, Vertical - Global Forecast 2025-2030

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¡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.

AIOps Ç÷§Æû ½ÃÀåÀÇ 2023³â ½ÃÀå ±Ô¸ð´Â 129¾ï 9,000¸¸ ´Þ·¯, 2024³â¿¡´Â 139¾ï 5,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, CAGR 7.51%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 215¾ï 7,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

AIOps(Artificial Intelligence for IT Operations) Ç÷§ÆûÀº ºòµ¥ÀÌÅÍ, ¸Ó½Å·¯´×, AI¸¦ Ȱ¿ëÇÏ¿© IT ¿î¿µÀ» ÀÚµ¿È­ÇÏ°í °­È­ÇÏ´Â ´ÙÃþÀûÀÎ ±â¼ú·Î Á¤Àǵ˴ϴÙ. AIOpsÀÇ Çʿ伺Àº ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅ͸¦ »ý¼ºÇÏ´Â IT ȯ°æÀÇ º¹À⼺°ú ±Ô¸ð È®´ë·Î ÀÎÇØ ½Ã½ºÅÛ °ü¸®¿¡ ´ëÇÑ ÀλçÀÌÆ®À» Á¦°øÇϰí, »ç¶÷ÀÌ °³ÀÔÇÏÁö ¾Ê°íµµ ÀÚµ¿À¸·Î ¹®Á¦¸¦ ½Äº°ÇÏ°í ´ëÀÀÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. AIOps´Â ±âÁ¸ IT ¿î¿µÀ¸·Î´Â ÀÌ·¯ÇÑ ´ë·®ÀÇ µ¥ÀÌÅ͸¦ È¿À²ÀûÀ¸·Î ó¸®ÇÒ ¼ö ¾ø±â ¶§¹®¿¡ AIOps´Â »çÀü ¿¹¹æÀû, ½Ç½Ã°£ ¹®Á¦ ÇØ°á¿¡ ÇʼöÀûÀ̸ç, ±Ã±ØÀûÀ¸·Î ½Ã½ºÅÛ °¡¿ë¼º°ú ¼º´ÉÀ» Çâ»ó½Ãŵ´Ï´Ù. AIOps Ç÷§ÆûÀÇ ÃÖÁ¾ ¿ëµµ¿¡´Â IT ¼­ºñ½º °ü¸®, ³×Æ®¿öÅ© ¹× º¸¾È °ü¸®, ¸¶ÀÌÅ©·Î ¼­ºñ½º ¹× Ŭ¶ó¿ìµå ¸ð´ÏÅ͸µ µî ´Ù¾çÇÑ ºÐ¾ß¿¡ °ÉÃÄ ½Ã½ºÅÛ ¾ÈÁ¤¼º, ÇÁ·Î¼¼½º ÀÚµ¿È­, °í°´ ¸¸Á·µµ¸¦ Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ½ÃÀå ¼ºÀåÀº Ŭ¶ó¿ìµå ¼­ºñ½º µµÀÔ È®´ë, µ¥ÀÌÅÍ ¾ç ±ÞÁõ, ´Ù¿îŸÀÓ °¨¼Ò ¹× ¿î¿µ È¿À²¼º Çâ»ó¿¡ ´ëÇÑ ¼ö¿ä µîÀÇ ¿äÀο¡ ÀÇÇØ ¿µÇâÀ» ¹Þ°í ÀÖ½À´Ï´Ù. ÃֽŠºñÁî´Ï½º ±âȸ´Â AIOps¿Í »çÀ̹ö º¸¾È ¼Ö·ç¼Ç, ¿§Áö ÄÄÇ»ÆÃ, IoT ȯ°æ°úÀÇ ÅëÇÕÀ» ÅëÇØ º¸´Ù Á¤È®ÇÏ°í ½Ã±âÀûÀýÇÑ ÀλçÀÌÆ®¿Í ¸®½ºÅ© °ü¸® °¡´É¼ºÀ» Á¦°øÇÏ´Â µ¥ ÀÖ½À´Ï´Ù. ±×·¯³ª µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹®Á¦, ÅëÇÕÀÇ º¹À⼺, ³ôÀº µµÀÔ ºñ¿ë, AIOps ¼Ö·ç¼Ç °ü¸®ÀÇ Àη °ÝÂ÷ µîÀÌ ¹®Á¦Á¡À¸·Î ÁöÀûµÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Àå¾Ö¹°À» ±Øº¹Çϱâ À§Çؼ­´Â º¸´Ù »ç¿ëÀÚ Ä£È­ÀûÀÎ ÀÎÅÍÆäÀ̽º °³¹ß, ÅëÇÕÀÇ º¹À⼺ °¨¼Ò, AI ¸ðµ¨ÀÇ ÇØ¼® °¡´É¼º °­È­ µî Çõ½ÅÀÇ ¿©Áö°¡ Å®´Ï´Ù. ¿¬±¸ ºÐ¾ß´Â ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ½Ã½ºÅÛ, ¿§Áö AI ¸ðµ¨, ºÐ¾ßº° AI¿É½º ¿ëµµ¿¡ ÁßÁ¡À» µÎ¾î ºÐ¾ßº° ÀλçÀÌÆ®¿Í °¡Ä¡¸¦ ÃËÁøÇÒ ¼ö ÀÖ½À´Ï´Ù. Àü¹ÝÀûÀ¸·Î AIOps ½ÃÀåÀº Áö¼ÓÀûÀÎ µðÁöÅÐ Çõ½ÅÀ» ÅëÇØ À¯¸ÁÇÑ ¼ºÀå ±âȸ¸¦ º¸¿©ÁÖ°í ÀÖÁö¸¸, ±â¾÷Àº ÀÌ·¯ÇÑ °úÁ¦¿Í ±âȸ¸¦ È¿°úÀûÀ¸·Î Ȱ¿ëÇϱâ À§ÇØ ÀÌ·¯ÇÑ °úÁ¦¿Í ±âȸ¸¦ °í·ÁÇØ¾ß ÇÕ´Ï´Ù.

ÁÖ¿ä ½ÃÀå Åë°è
±âÁسâ[2023] 129¾ï 9,000¸¸ ´Þ·¯
¿¹Ãø³â[2024] 139¾ï 5,000¸¸ ´Þ·¯
¿¹Ãø³â[2030] 215¾ï 7,000¸¸ ´Þ·¯
CAGR(%) 7.51%

½ÃÀå ¿ªÇÐ: ºü¸£°Ô ÁøÈ­ÇÏ´Â AIOps Ç÷§Æû ½ÃÀåÀÇ ÁÖ¿ä ½ÃÀå ÀλçÀÌÆ® °ø°³

AI¿É½º Ç÷§Æû ½ÃÀåÀº ¼ö¿ä ¹× °ø±ÞÀÇ ¿ªµ¿ÀûÀÎ »óÈ£ÀÛ¿ëÀ» ÅëÇØ º¯È­Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½ÃÀå ¿ªÇÐÀÇ ÁøÈ­¸¦ ÀÌÇØÇÔÀ¸·Î½á ±â¾÷Àº Á¤º¸¿¡ ÀÔ°¢ÇÑ ÅõÀÚ °áÁ¤, Àü·«Àû ÀÇ»ç°áÁ¤, »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Æ÷ÂøÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ µ¿ÇâÀ» Á¾ÇÕÀûÀ¸·Î ÆÄ¾ÇÇÔÀ¸·Î½á ±â¾÷Àº Á¤Ä¡Àû, Áö¿ªÀû, ±â¼úÀû, »çȸÀû, °æÁ¦Àû ¿µ¿ª¿¡ °ÉÄ£ ´Ù¾çÇÑ ¸®½ºÅ©¸¦ ¿ÏÈ­Çϰí, ¼ÒºñÀÚ Çൿ°ú ±×°ÍÀÌ Á¦Á¶ ºñ¿ë ¹× ±¸¸Å µ¿Çâ¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» º¸´Ù ¸íÈ®ÇÏ°Ô ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

  • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
    • IT ÀÎÇÁ¶óÀÇ ±Þ¼ÓÇÑ È®Àå°ú ´ë¿ë·® µ¥ÀÌÅÍ °ü¸®¿Í °ü·ÃµÈ ITÀÇ º¹À⼺ Áõ°¡
    • ³×Æ®¿öÅ© ¹®Á¦¸¦ ¹Ì¸® ¿¹ÃøÇÏ°í ³×Æ®¿öÅ© ¼º´ÉÀ» ÃÖÀûÈ­Çϱâ À§ÇÑ ¿¹Ãø ºÐ¼®¿¡ ´ëÇÑ ¿ä±¸°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.
  • ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ
    • AIOps Ç÷§Æû ±¸Çö ¹× À¯Áöº¸¼öÀÇ º¹À⼺
  • ½ÃÀå ±âȸ
    • ÷´ÜÇü AIOps Ç÷§Æû °³¹ß ¹× ·±Äª
    • °¢±¹ÀÇ ´Ù¾çÇÑ ±ÔÁ¦ ¿ä°ÇÀ» ÃæÁ·ÇÏ´Â AIOpsÀÇ ³ôÀº °¡´É¼º
  • ½ÃÀå °úÁ¦
    • AIOps ÅëÇÕ¿¡ µû¸¥ µ¥ÀÌÅÍ º¸¾È ¹× ÇÁ¶óÀ̹ö½Ã ¹®Á¦

Portre's Five Forces: AIOps Ç÷§Æû ½ÃÀå °ø·«À» À§ÇÑ Àü·«Àû Åø

Portre's Five Forces ÇÁ·¹ÀÓ¿öÅ©´Â ½ÃÀå »óȲ°æÀï ±¸µµ¸¦ ÀÌÇØÇÏ´Â Áß¿äÇÑ ÅøÀÔ´Ï´Ù. Portre's Five Forces ÇÁ·¹ÀÓ¿öÅ©´Â ±â¾÷ÀÇ °æÀï·ÂÀ» Æò°¡Çϰí Àü·«Àû ±âȸ¸¦ Ž»öÇÒ ¼ö ÀÖ´Â ¸íÈ®ÇÑ ¹æ¹ýÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ ÇÁ·¹ÀÓ¿öÅ©´Â ±â¾÷ÀÌ ½ÃÀå³» ¼¼·Âµµ¸¦ Æò°¡ÇÏ°í ½Å±Ô »ç¾÷ÀÇ ¼öÀͼºÀ» ÆÇ´ÜÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ÀÌ·¯ÇÑ ÀλçÀÌÆ®À» ÅëÇØ ±â¾÷Àº °­Á¡À» Ȱ¿ëÇÏ°í ¾àÁ¡À» º¸¿ÏÇϸç ÀáÀçÀûÀÎ µµÀüÀ» ÇÇÇÔÀ¸·Î½á º¸´Ù °­·ÂÇÑ ½ÃÀå Æ÷Áö¼Å´×À» È®º¸ÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : AIOps Ç÷§Æû ½ÃÀåÀÇ ¿ÜºÎ ¿µÇâ·Â ÆÄ¾Ç

¿ÜºÎ °Å½Ã ȯ°æ ¿äÀÎÀº AIOps Ç÷§Æû ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇÏ´Â µ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Á¤Ä¡Àû, °æÁ¦Àû, »çȸÀû, ±â¼úÀû, ¹ýÀû, ȯ°æÀû ¿äÀο¡ ´ëÇÑ ºÐ¼®Àº ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÑ Á¤º¸¸¦ Á¦°øÇϸç, PESTLE ¿äÀÎÀ» Á¶»çÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀû À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ºÐ¼®À» ÅëÇØ ±â¾÷Àº ±ÔÁ¦, ¼ÒºñÀÚ ¼±È£µµ, °æÁ¦ µ¿ÇâÀÇ º¯È­¸¦ ¿¹ÃøÇÏ°í ¼±Á¦ÀûÀÌ°í ´Éµ¿ÀûÀÎ ÀÇ»ç°áÁ¤À» ³»¸± Áغñ¸¦ ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® AIOps Ç÷§Æû ½ÃÀå¿¡¼­ °æÀï ±¸µµ ÆÄ¾Ç

AIOps Ç÷§Æû ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ º¥´õÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ¸ÅÃâ, °í°´ ±â¹Ý, ¼ºÀå·ü°ú °°Àº ÁÖ¿ä ÁöÇ¥¸¦ ºñ±³ÇÏ¿© °æÀïÀû À§Ä¡¸¦ ÆÄ¾ÇÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®Àº ½ÃÀåÀÇ ÁýÁßÈ­, ´ÜÆíÈ­, ÅëÇÕÀÇ Ãß¼¼¸¦ ÆÄ¾ÇÇÒ ¼ö ÀÖÀ¸¸ç, °ø±Þ¾÷ü´Â Ä¡¿­ÇÑ °æÀï ¼Ó¿¡¼­ ÀÚ½ÅÀÇ ÀÔÁö¸¦ °­È­ÇÒ ¼ö ÀÖ´Â Àü·«Àû ÀÇ»ç°áÁ¤À» ³»¸®´Â µ¥ ÇÊ¿äÇÑ ÀλçÀÌÆ®À» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º AIOps Ç÷§Æû ½ÃÀå¿¡¼­ÀÇ º¥´õ ¼º°ú Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â AIOps Ç÷§Æû ½ÃÀå¿¡¼­ º¥´õ¸¦ Æò°¡ÇÒ ¼ö ÀÖ´Â Áß¿äÇÑ ÅøÀÔ´Ï´Ù. ÀÌ ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº º¥´õÀÇ ºñÁî´Ï½º Àü·«°ú Á¦Ç° ¸¸Á·µµ¸¦ ±â¹ÝÀ¸·Î Æò°¡ÇÏ¿© ¸ñÇ¥¿¡ ºÎÇÕÇÏ´Â Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖÀ¸¸ç, 4°³ÀÇ »çºÐ¸éÀ¸·Î º¥´õ¸¦ ¸íÈ®Çϰí Á¤È®ÇÏ°Ô ¼¼ºÐÈ­ÇÏ¿© Àü·«Àû¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê¿Í ¼Ö·ç¼ÇÀ» ½Äº°ÇÒ ¼ö ÀÖ½À´Ï´Ù. Àü·«Àû¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê¿Í ¼Ö·ç¼ÇÀ» ½Äº°ÇÒ ¼ö ÀÖ½À´Ï´Ù.

Àü·« ºÐ¼® ¹× Ãßõ AIOps Ç÷§Æû ½ÃÀå¿¡¼­ÀÇ ¼º°øÀ» À§ÇÑ Àü·« ºÐ¼® ¹× Ãßõ

AI¿É½º Ç÷§Æû ½ÃÀå Àü·« ºÐ¼®Àº ¼¼°è ½ÃÀå¿¡¼­ ÀÔÁö¸¦ °­È­ÇϰíÀÚ ÇÏ´Â ±â¾÷¿¡°Ô ÇʼöÀûÀÔ´Ï´Ù. ÁÖ¿ä ÀÚ¿ø, ¿ª·® ¹× ¼º°ú ÁöÇ¥¸¦ °ËÅäÇÔÀ¸·Î½á ±â¾÷Àº ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í °³¼±ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¢±Ù ¹æ½ÄÀ» ÅëÇØ °æÀï ȯ°æÀÇ µµÀüÀ» ±Øº¹ÇÏ°í »õ·Î¿î ºñÁî´Ï½º ±âȸ¸¦ Ȱ¿ëÇÏ¿© Àå±âÀûÀÎ ¼º°øÀ» °ÅµÑ ¼ö ÀÖµµ·Ï ÁغñÇÒ ¼ö ÀÖ½À´Ï´Ù.

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

1. ½ÃÀå ħÅõµµ : ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä, ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅÍ, ½ÃÀå µµ´Þ ¹üÀ§ ¹× Àü¹ÝÀûÀÎ ¿µÇâ·Â Æò°¡.

2. ½ÃÀå °³Ã´µµ: ½ÅÈï ½ÃÀå¿¡¼­ÀÇ ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇϰí, ±âÁ¸ ºÐ¾ßÀÇ È®Àå °¡´É¼ºÀ» Æò°¡Çϸç, ¹Ì·¡ ¼ºÀåÀ» À§ÇÑ Àü·«Àû ·Îµå¸ÊÀ» Á¦°øÇÕ´Ï´Ù.

3. ½ÃÀå ´Ù°¢È­ : ÃÖ±Ù Á¦Ç° Ãâ½Ã, ¹Ì°³Ã´ Áö¿ª, ¾÷°èÀÇ ÁÖ¿ä ¹ßÀü, 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±¹ÀÇ ½ÂÀÎ, ƯÇã µ¿Çâ, ÁÖ¿ä ±â¾÷ÀÇ ±â¼ú ¹ßÀü µîÀ» °ËÅäÇÕ´Ï´Ù.

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

ÀÌÇØ°ü°èÀÚµéÀÌ ÃæºÐÇÑ Á¤º¸¸¦ ¹ÙÅÁÀ¸·Î ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖµµ·Ï ´ÙÀ½°ú °°Àº Áß¿äÇÑ Áú¹®¿¡ ´ëÇÑ ´äº¯µµ Á¦°øÇÕ´Ï´Ù. :

1. ÇöÀç ½ÃÀå ±Ô¸ð¿Í ÇâÈÄ ¼ºÀå Àü¸ÁÀº?

2. ÃÖ°íÀÇ ÅõÀÚ ±âȸ¸¦ Á¦°øÇÏ´Â Á¦Ç°, ºÎ¹®, Áö¿ªÀº?

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

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

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

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå °³¿ä

Á¦4Àå ½ÃÀå °³¿ä

Á¦5Àå ½ÃÀå ÀλçÀÌÆ®

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    • ¼ºÀå ¾ïÁ¦¿äÀÎ
    • ±âȸ
    • °úÁ¦
  • ½ÃÀå ¼¼ºÐÈ­ ºÐ¼®
  • Porter's Five Forces ºÐ¼®
  • PESTEL ºÐ¼®
    • Á¤Ä¡
    • °æÁ¦
    • »çȸ
    • ±â¼ú
    • ¹ý·ü
    • ȯ°æ

Á¦6Àå AIOps Ç÷§Æû ½ÃÀå : ÄÄÆ÷³ÍÆ®º°

  • Ç÷§Æû
  • ¼­ºñ½º
    • ÄÁ¼³ÆÃ
    • ½ÇÀå
    • ½Ã½ºÅÛ ÅëÇÕ

Á¦7Àå AIOps Ç÷§Æû ½ÃÀå : µµÀÔº°

  • Ŭ¶ó¿ìµå
  • ¿ÂÇÁ·¹¹Ì½º

Á¦8Àå AIOps Ç÷§Æû ½ÃÀå : Á¶Á÷ ±Ô¸ðº°

  • ´ë±â¾÷
  • Áß¼Ò±â¾÷

Á¦9Àå AIOps Ç÷§Æû ½ÃÀå : ¿ëµµº°

  • ¾ÖÇø®ÄÉÀÌ¼Ç ÆÛÆ÷¸Õ½º ºÐ¼®
  • ÀÎÇÁ¶ó °ü¸®
  • ³×Æ®¿öÅ©¿Í º¸¾È °ü¸®
  • ½Ç½Ã°£ ºÐ¼®

Á¦10Àå AIOps Ç÷§Æû ½ÃÀå : ¾÷°èº°

  • BFSI
  • ¿¡³ÊÁö¡¤À¯Æ¿¸®Æ¼
  • Á¤ºÎ¿Í ¹æÀ§
  • ÇコÄɾî¿Í »ý¸í°úÇÐ
  • IT ¹× Åë½Å
  • ¹Ìµð¾î¿Í ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ¼Ò¸Å¾÷°ú E-Commerce

Á¦11Àå ¾Æ¸Þ¸®Ä«ÀÇ AIOps Ç÷§Æû ½ÃÀå

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

Á¦12Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ AIOps Ç÷§Æû ½ÃÀå

  • È£ÁÖ
  • Áß±¹
  • Àεµ
  • Àεµ³×½Ã¾Æ
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  • ¸»·¹À̽þÆ
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  • ½Ì°¡Æ÷¸£
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  • ű¹
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Á¦13Àå À¯·´, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ AIOps Ç÷§Æû ½ÃÀå

  • µ§¸¶Å©
  • ÀÌÁýÆ®
  • Çɶõµå
  • ÇÁ¶û½º
  • µ¶ÀÏ
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  • Amazon Web Services, Inc.
  • BigPanda, Inc.
  • BMC Software, Inc.
  • Broadcom Inc.
  • Cisco Systems, Inc.
  • CloudFabrix Software Inc.
  • Cloudwise
  • Datadog, Inc.
  • Dell Inc.
  • Dynatrace, Inc.
  • Elasticsearch B.V.
  • GAVS Technologies
  • Google LLC by Alphabet Inc.
  • HCL Technologies Limited
  • Hewlett Packard Enterprise Company
  • Hexaware Technologies Limited
  • Infosys Ltd.
  • International Business Machines Corporation
  • LogicMonitor Inc.
  • LTIMindtree Limited
  • MeshIQ
  • Microsoft Corporation
  • Netreo, Inc.
  • New Relic, Inc.
  • OKESTRO Co., Ltd.
  • OpenText Corporation
  • Oracle Corporation
  • PagerDuty, Inc.
  • Prodapt Solutions Private Limited
  • ProphetStor Data Services, Inc.
  • ScienceLogic, Inc.
  • Selector Software, Inc.
  • ServiceNow, Inc.
  • Tata Consultancy Services Limited
  • Tech Mahindra Limited
  • VuNet Systems Private Limited
  • Wipro Limited
  • Zenoss Inc.
  • Zoho Corporation
KSA 24.12.05

The AIOps Platform Market was valued at USD 12.99 billion in 2023, expected to reach USD 13.95 billion in 2024, and is projected to grow at a CAGR of 7.51%, to USD 21.57 billion by 2030.

The AIOps (Artificial Intelligence for IT Operations) platform is defined as a multi-layered technology that leverages big data, machine learning, and AI to automate and enhance IT operations. It delivers insights into systems management, automatically identifying and responding to issues without human intervention. The necessity for AIOps arises from the growing complexity and scale of IT environments, which generate vast amounts of data. Traditional IT operations cannot efficiently handle these volumes, making AIOps essential for proactive and real-time issue resolution, ultimately improving system availability and performance. Its applications span multiple sectors, including finance, healthcare, retail, and telecommunications, where it enhances system reliability, process automation, and customer satisfaction. The end-use scope of AIOps platforms includes IT service management, network and security management, and microservices and cloud monitoring. Market growth is influenced by factors such as increased adoption of cloud services, the surge in data volumes, and the demand for reducing downtime and enhancing operational efficiencies. Latest opportunities lie in integrating AIOps with cybersecurity solutions, edge computing, and IoT environments, offering potential for more precise and timely insight and risk management. Challenging factors include data privacy concerns, integration complexity, high implementation costs, and the talent gap in managing AIOps solutions. To overcome these hurdles, there is significant scope for innovation in developing more user-friendly interfaces, reducing integration complexity, and enhancing AI models' interpretability. Research areas could focus on hybrid cloud systems, edge AI models, and domain-specific AIOps applications to drive sector-specific insights and value. Overall, while the AIOps market shows promising growth potential driven by ongoing digital transformation, businesses must consider these challenges and opportunities to harness its full potential effectively.

KEY MARKET STATISTICS
Base Year [2023] USD 12.99 billion
Estimated Year [2024] USD 13.95 billion
Forecast Year [2030] USD 21.57 billion
CAGR (%) 7.51%

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving AIOps Platform Market

The AIOps Platform 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
    • Rapidly growing IT infrastructure and rising IT complexities related to high-volume data management
    • Growing demand for predictive analytics to preempt network issues and optimize network performance
  • Market Restraints
    • Complexities in implementing and maintaining AIOps platforms
  • Market Opportunities
    • Development and launch of advanced AIOps platforms
    • High potential for AIOps to meet varied regulatory requirements across economies
  • Market Challenges
    • Data security and privacy concerns associated with AIOps integration

Porter's Five Forces: A Strategic Tool for Navigating the AIOps Platform Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the AIOps Platform 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 AIOps Platform Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the AIOps Platform 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 AIOps Platform Market

A detailed market share analysis in the AIOps Platform 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 AIOps Platform Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the AIOps Platform 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 AIOps Platform Market

A strategic analysis of the AIOps Platform 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 AIOps Platform Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., BigPanda, Inc., BMC Software, Inc., Broadcom Inc., Cisco Systems, Inc., CloudFabrix Software Inc., Cloudwise, Datadog, Inc., Dell Inc., Dynatrace, Inc., Elasticsearch B.V., GAVS Technologies, Google LLC by Alphabet Inc., HCL Technologies Limited, Hewlett Packard Enterprise Company, Hexaware Technologies Limited, Infosys Ltd., International Business Machines Corporation, LogicMonitor Inc., LTIMindtree Limited, MeshIQ, Microsoft Corporation, Netreo, Inc., New Relic, Inc., OKESTRO Co., Ltd., OpenText Corporation, Oracle Corporation, PagerDuty, Inc., Prodapt Solutions Private Limited, ProphetStor Data Services, Inc., ScienceLogic, Inc., Selector Software, Inc., ServiceNow, Inc., Tata Consultancy Services Limited, Tech Mahindra Limited, VuNet Systems Private Limited, Wipro Limited, Zenoss Inc., and Zoho Corporation.

Market Segmentation & Coverage

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

  • Based on Component, market is studied across Platform and Services. The Services is further studied across Consulting, Implementation, and System Integration.
  • Based on Deployment, market is studied across Cloud and On-premise.
  • Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.
  • Based on Application, market is studied across Application Performance Analysis, Infrastructure Management, Network & Security Management, and Real-Time Analytics.
  • Based on Vertical, market is studied across BFSI, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, IT & Telecom, Media & Entertainment, and Retail & eCommerce.
  • 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. Rapidly growing IT infrastructure and rising IT complexities related to high-volume data management
      • 5.1.1.2. Growing demand for predictive analytics to preempt network issues and optimize network performance
    • 5.1.2. Restraints
      • 5.1.2.1. Complexities in implementing and maintaining AIOps platforms
    • 5.1.3. Opportunities
      • 5.1.3.1. Development and launch of advanced AIOps platforms
      • 5.1.3.2. High potential for AIOps to meet varied regulatory requirements across economies
    • 5.1.4. Challenges
      • 5.1.4.1. Data security and privacy concerns associated with AIOps integration
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Rising need for efficient and proven service offerings
    • 5.2.2. Deployment: Growing deployment of cloud-based models with less upfront cost, offering high scalability
    • 5.2.3. Organization Size: Rising demand for AIOps from large enterprises prioritizing scalability and automation due to complex IT operations
    • 5.2.4. Application: Significant adoption of AIOps platforms for network and security management applications
    • 5.2.5. Vertical: Higher adoption of AIOps in energy & utilities with strong predictive maintenance capabilities
  • 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. AIOps Platform Market, by Component

  • 6.1. Introduction
  • 6.2. Platform
  • 6.3. Services
    • 6.3.1. Consulting
    • 6.3.2. Implementation
    • 6.3.3. System Integration

7. AIOps Platform Market, by Deployment

  • 7.1. Introduction
  • 7.2. Cloud
  • 7.3. On-premise

8. AIOps Platform Market, by Organization Size

  • 8.1. Introduction
  • 8.2. Large Enterprises
  • 8.3. Small & Medium Enterprises

9. AIOps Platform Market, by Application

  • 9.1. Introduction
  • 9.2. Application Performance Analysis
  • 9.3. Infrastructure Management
  • 9.4. Network & Security Management
  • 9.5. Real-Time Analytics

10. AIOps Platform Market, by Vertical

  • 10.1. Introduction
  • 10.2. BFSI
  • 10.3. Energy & Utilities
  • 10.4. Government & Defense
  • 10.5. Healthcare & Life Sciences
  • 10.6. IT & Telecom
  • 10.7. Media & Entertainment
  • 10.8. Retail & eCommerce

11. Americas AIOps Platform Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific AIOps Platform Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa AIOps Platform Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2023
  • 14.2. FPNV Positioning Matrix, 2023
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Resurgens Technology Partners fuels Avantra's growth in AIOps for SAP with strategic investment
    • 14.3.2. DataOps.live unveils powerful AIOps capabilities leveraging Snowflake and AWS for streamlined AI-driven data product operationalization
    • 14.3.3. Fujifilm revolutionizes data management by integrating AI through consolidation of global ICT systems
    • 14.3.4. ScienceLogic enhances AIOps platform with new security features and Cisco integration for seamless enterprise operations
    • 14.3.5. Riverbed unveils AI observability platform to address security blind spots in Zero Trust and mobility environments
    • 14.3.6. BMC enhances Helix Platform with Netreo acquisition to boost AIOps Capabilities
    • 14.3.7. Visionet and Algomox unite to advance cloud management with strategic AIOps collaboration enhancing IT efficiency
    • 14.3.8. GTT Communications partners with Selector to revolutionize global IT operations using AIOps for enhanced network efficiency
    • 14.3.9. BMC launches HelixGPT to revolutionize AIOps with advanced AI integrations
    • 14.3.10. Kyndryl and Dynatrace forge partnership to elevate customer insights with unified observability and AIOps innovation
    • 14.3.11. Senser redefines IT operations with AIOps platform using eBPF for advanced data-driven observability
    • 14.3.12. Dell's acquisition of Moogsoft marks a strategic expansion in AI-driven IT operations and automation
    • 14.3.13. Xalient unveils Martina 2.0, revolutionizing network management with advanced AI-driven observability and proactive anomaly detection
  • 14.4. Strategy Analysis & Recommendation
    • 14.4.1. Cisco Systems, Inc.
    • 14.4.2. LTIMindtree Limited
    • 14.4.3. Dynatrace, Inc.
    • 14.4.4. International Business Machines Corporation

Companies Mentioned

  • 1. Amazon Web Services, Inc.
  • 2. BigPanda, Inc.
  • 3. BMC Software, Inc.
  • 4. Broadcom Inc.
  • 5. Cisco Systems, Inc.
  • 6. CloudFabrix Software Inc.
  • 7. Cloudwise
  • 8. Datadog, Inc.
  • 9. Dell Inc.
  • 10. Dynatrace, Inc.
  • 11. Elasticsearch B.V.
  • 12. GAVS Technologies
  • 13. Google LLC by Alphabet Inc.
  • 14. HCL Technologies Limited
  • 15. Hewlett Packard Enterprise Company
  • 16. Hexaware Technologies Limited
  • 17. Infosys Ltd.
  • 18. International Business Machines Corporation
  • 19. LogicMonitor Inc.
  • 20. LTIMindtree Limited
  • 21. MeshIQ
  • 22. Microsoft Corporation
  • 23. Netreo, Inc.
  • 24. New Relic, Inc.
  • 25. OKESTRO Co., Ltd.
  • 26. OpenText Corporation
  • 27. Oracle Corporation
  • 28. PagerDuty, Inc.
  • 29. Prodapt Solutions Private Limited
  • 30. ProphetStor Data Services, Inc.
  • 31. ScienceLogic, Inc.
  • 32. Selector Software, Inc.
  • 33. ServiceNow, Inc.
  • 34. Tata Consultancy Services Limited
  • 35. Tech Mahindra Limited
  • 36. VuNet Systems Private Limited
  • 37. Wipro Limited
  • 38. Zenoss Inc.
  • 39. Zoho Corporation
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