¼¼°èÀÇ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ½ÃÀå
Hyperscale Cloud
»óǰÄÚµå : 1799141
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 08¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 186 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,209,000
PDF & Excel (Single User License) help
PDF & Excel º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÆÄÀÏ ³» ÅØ½ºÆ®ÀÇ º¹»ç ¹× ºÙ¿©³Ö±â´Â °¡´ÉÇÏÁö¸¸, Ç¥/±×·¡ÇÁ µîÀº º¹»çÇÒ ¼ö ¾ø½À´Ï´Ù. Àμâ´Â 1ȸ °¡´ÉÇϸç, Àμ⹰ÀÇ ÀÌ¿ë¹üÀ§´Â ÆÄÀÏ ÀÌ¿ë¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 17,550 £Ü 24,629,000
PDF & Excel (Global License to Company and its Fully-owned Subsidiaries) help
PDF & Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ ¹× 100% ÀÚȸ»çÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÏ½Ç ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â 1Àδç 1ȸ °¡´ÉÇϸç, Àμ⹰ÀÇ ÀÌ¿ë¹üÀ§´Â ÆÄÀÏ ÀÌ¿ë¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

¼¼°èÀÇ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ½ÃÀåÀº 2030³â±îÁö 2Á¶ 1,000¾ï ´Þ·¯¿¡ À̸¦ Àü¸Á

2024³â¿¡ 4,462¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ¼¼°è ½ÃÀåÀº 2024-2030³â°£ CAGR 29.3%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 2Á¶ 1,000¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. º» º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ´ë±â¾÷Àº CAGR 31.7%¸¦ ³ªÅ¸³»°í, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 1Á¶ 5,000¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. Áß¼Ò±â¾÷ ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£Áß CAGR 24.6%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº ¾à 1,173¾ï ´Þ·¯, Áß±¹Àº CAGR 27.7%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ½ÃÀåÀº 2024³â¿¡ 1,173¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 3,130¾ï ´Þ·¯ ±Ô¸ð¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 27.7%·Î ÃßÁ¤µË´Ï´Ù. ±âŸ ÁÖ¸ñÇØ¾ß ÇÒ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£Áß CAGRÀº °¢°¢ 27.1%¿Í 25.1%¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 20.1%¸¦ º¸ÀÏ Àü¸ÁÀÔ´Ï´Ù.

¼¼°èÀÇ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

±â¾÷µéÀÌ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ÀÎÇÁ¶ó·Î ÀüȯÇÏ´Â ÀÌÀ¯´Â ¹«¾ùÀϱî?

ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå Ç÷§ÆûÀº ¿Âµð¸Çµå ¹æ½ÄÀ¸·Î È®Àå °¡´ÉÇÏ°í ºñ¿ë È¿À²ÀûÀÎ ÀÎÇÁ¶ó¸¦ Á¦°øÇÔÀ¸·Î½á ±â¾÷ÀÇ ÄÄÇ»ÆÃ ¸®¼Ò½º °ü¸® ¹æ½ÄÀ» º¯È­½Ã۰í ÀÖ½À´Ï´Ù. ±â¾÷µéÀº ±âÁ¸ On-Premise ½Ã½ºÅÛ¿¡¼­ ½Å¼ÓÇÑ ¹èÆ÷, ¼¼°è °¡¿ë¼º, À¯¿¬ÇÑ ¸®¼Ò½º ÇÒ´çÀ» Áö¿øÇÏ´Â ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ȯ°æ Ȱ¿ëÀ¸·Î ÀüȯÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÀüȯÀÇ ¹è°æ¿¡´Â ºòµ¥ÀÌÅÍ ºÐ¼®, ÀΰøÁö´É, ´ë¿ë·® Æ®·£Àè¼Ç ó¸®¿Í °°Àº º¹ÀâÇÑ ¿öÅ©·Îµå¸¦ ½Ç½Ã°£À¸·Î Áö¿øÇØ¾ß ÇÒ Çʿ伺ÀÌ ÀÖ½À´Ï´Ù.

¸ðµç ±Ô¸ðÀÇ ±â¾÷µéÀÌ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå¸¦ µµÀÔÇÏ¿© ¹Îø¼º Çâ»ó, ¼³ºñÅõÀÚ Àý°¨, ¿î¿µ È®À强 °­È­¸¦ À§ÇØ µµÀÔÇϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê ±â¾÷, ¼ÒÇÁÆ®¿þ¾î Á¦°ø¾÷ü, ´Ù±¹Àû ±â¾÷µéÀº ÇÙ½É ÀÎÇÁ¶ó¸¦ ´ë±â¾÷ÀÌ Á¦°øÇÏ´Â ÇÏÀÌÆÛ½ºÄÉÀÏ Ç÷§ÆûÀ¸·Î ÀüȯÇϰí ÀÖ½À´Ï´Ù. À̵é Ç÷§ÆûÀº ÄÄÇ»ÆÃ°ú ½ºÅ丮Áö»Ó¸¸ ¾Æ´Ï¶ó µ¥ÀÌÅͺ£À̽º, ¸Ó½Å·¯´× Åø, ¿§Áö ÄÄÇ»ÆÃ ¸®¼Ò½º µîÀÇ ÅëÇÕ ¼­ºñ½ºµµ Á¦°øÇÕ´Ï´Ù. ÀÌ·¯ÇÑ º¯È­´Â ¼Ò¸Å, ÇコÄɾî, ÀºÇà, Á¦Á¶ µî µðÁöÅÐ ÀüȯÀÌ ÁøÇàµÇ°í ÀÖ´Â »ê¾÷¿¡¼­ ƯÈ÷ µÎµå·¯Áö°Ô ³ªÅ¸³ª°í ÀÖ½À´Ï´Ù.

ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ¿µ¿ªÀÇ ¾ÆÅ°ÅØÃ³¿Í ¼­ºñ½º Á¦°øÀº ¾î¶»°Ô ÁøÈ­Çϰí Àִ°¡?

ÇÏÀÌÆÛ½ºÄÉÀÏ ¾ÆÅ°ÅØÃ³´Â °í°¡¿ë¼º, ³»°áÇÔ¼º, ½Å¼ÓÇÑ ¸®¼Ò½º ÇÁ·ÎºñÀú´×À» À§ÇØ ¼³°èµÇ¾ú½À´Ï´Ù. µ¥ÀÌÅͼ¾ÅÍ´Â °í±Þ ¿ÀÄɽºÆ®·¹ÀÌ¼Ç ¼ÒÇÁÆ®¿þ¾î¸¦ ÅëÇØ °ü¸®µÇ´Â ¼öõ ´ëÀÇ ¹°¸®Àû ¼­¹ö¿Í ½ºÅ丮Áö ÀåÄ¡·Î ±¸¼ºµÇ¾î ÀÖ½À´Ï´Ù. ÀÌµé ½Ã¼³Àº ÄÁÅ×À̳ÊÈ­, ¸¶ÀÌÅ©·Î¼­ºñ½º, ÀÚµ¿ ·Îµå¹ë·±½ÌÀ» ÅëÇØ Áö¼ÓÀûÀÎ ¾ÖÇø®ÄÉÀÌ¼Ç µô¸®¹ö¸®¿Í Áß´Ü ¾ø´Â ¼­ºñ½º ¼º´ÉÀ» Áö¿øÇϰí ÀÖ½À´Ï´Ù. ÄÄÇ»ÆÃ, ½ºÅ丮Áö, ³×Æ®¿öÅ©ÀÇ ¸ðµâ½Ä È®ÀåÀ» ÅëÇØ ¿öÅ©·Îµå °­µµ¿¡ µû¸¥ ¿øÈ°ÇÑ ½ºÄÉÀÏ ¾Æ¿ôÀÌ °¡´ÉÇÕ´Ï´Ù.

°ø±ÞÀÚµéÀº »ê¾÷º° ¼Ö·ç¼Ç, °í±Þ µ¥ÀÌÅÍ º¸¾È °èÃþ, ·¹°Å½Ã ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀ» À§ÇÑ ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ÅøÀ» µµÀÔÇϰí ÀÖÀ¸¸ç, ¼­ºñ½º Á¦°ø Á¦Ç°Àº °è¼Ó ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. AI-as-a-Service, DevOps Ç÷§Æû, ·Î¿ìÄÚµå °³¹ß µµ±¸´Â ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå Æ÷Æ®Æú¸®¿ÀÀÇ ÇʼöÀûÀÎ ¿ä¼Ò·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¸ÖƼ ¸®Àü º¹Á¦, °í¼Ó ÀÎÅÍÄ¿³ØÆ®, GPU °¡¼ÓÀº ½Ç½Ã°£ ºÐ¼®, ½ºÆ®¸®¹Ö, AI ¸ðµ¨ Æ®·¹ÀÌ´×°ú °°Àº °í±Þ ÀÌ¿ë »ç·Ê¸¦ Áö¿øÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ±â´ÉÀ» ÅëÇØ ±â¾÷Àº ÀÎÇÁ¶ó¸¦ ¼ÒÀ¯ÇÏÁö ¾Ê°íµµ ¼º´É ¿ä±¸ »çÇ×À» ÃæÁ·ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¼ö¿ä´Â ¾îµð¿¡ ÁýÁߵǾî ÀÖÀ¸¸ç, ¾î¶² ºÎ¹®¿¡¼­ µµÀÔÀÌ °¡¼ÓÈ­µÇ°í Àִ°¡?

ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ¼­ºñ½º¿¡ ´ëÇÑ ¼ö¿ä´Â ¿ªµ¿ÀûÀÎ ÄÄÇ»ÆÃ ¿ä±¸¿Í °­·ÂÇÑ µðÁöÅÐ ½ÇÀû¸¦ °¡Áø ºÐ¾ß¿¡ ÁýÁߵǾî ÀÖ½À´Ï´Ù. ±â¼ú, ±ÝÀ¶ ¼­ºñ½º, ¹Ìµð¾î, Åë½Å, ÀüÀÚ»ó°Å·¡ µîÀÇ ±â¾÷µéÀº ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¿Í È®Àå °¡´ÉÇÑ ÀÎÇÁ¶ó¿¡ ÀÇÁ¸Çϰí Àֱ⠶§¹®¿¡ ºí·ÏüÀÎ µµÀÔÀÇ ÃÖÀü¼±¿¡ ¼­ ÀÖ½À´Ï´Ù. Á¤ºÎ ¹× °ø°ø±â°üµµ µðÁöÅÐ °Å¹ö³Í½º, ½º¸¶Æ®½ÃƼ Ç÷§Æû, ´ë±Ô¸ð ½Ã¹Î ¼­ºñ½º ½Ã½ºÅÛÀ» Áö¿øÇϱâ À§ÇØ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù.

Áö¿ªº°·Î´Â ºÏ¹Ì°¡ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå µµÀÔÀ» ÁÖµµÇϰí ÀÖÀ¸¸ç, ½ÃÀå ¼º¼÷µµ°¡ °¡Àå ºü¸£¸ç, À¯·´, ¾Æ½Ã¾ÆÅÂÆò¾çÀÌ ±× µÚ¸¦ ÀÕ°í ÀÖ½À´Ï´Ù. ¾Æ½Ã¾Æ¿¡¼­´Â ±Þ¼ÓÇÑ µðÁöÅÐÈ­, ÀÎÅÍ³Ý º¸±Þ È®´ë, ±â¾÷ÀÇ IT Çö´ëÈ­°¡ ¼ö¿ä¸¦ °ßÀÎÇϰí ÀÖ½À´Ï´Ù. °³¹ßµµ»ó±¹ÀÇ ½ºÅ¸Æ®¾÷°ú Áß°ß±â¾÷µéµµ ·¹°Å½Ã ÀÎÇÁ¶ó ÅõÀÚ¸¦ ÇÇÇϰí À¯¿¬ÇÑ ºñ¿ë ±¸Á¶·Î ¿£ÅÍÇÁ¶óÀÌÁî±Þ Åø¿¡ Á¢±ÙÇϱâ À§ÇØ ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå¸¦ Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ ÁÖ±Ç ¹× Áö¿ª ÄÄÇöóÀ̾𽺿¡ ´ëÇÑ ¿ì·Á·Î ÀÎÇØ, °ø±ÞÀÚµéÀº Áö¿ª µ¥ÀÌÅͼ¾Å͸¦ ¼³¸³Çϰųª ¸ÂÃãÇü ¹èÆ÷ ¸ðµ¨À» µµÀÔÇϰí ÀÖ½À´Ï´Ù.

ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ½ÃÀåÀÇ ¼ºÀåÀ» °¡¼ÓÇÏ´Â ¿äÀÎÀº ¹«¾ùÀΰ¡?

ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ½ÃÀåÀÇ ¼ºÀåÀº È®Àå °¡´ÉÇÑ ÀÎÇÁ¶ó¿¡ ´ëÇÑ ±â¾÷ÀÇ ÀÇÁ¸µµ Áõ°¡, AI ¹× µ¥ÀÌÅÍ Áý¾àÀû ¿ëµµ ¹èÆ÷ Áõ°¡, ÄÄÇ»ÆÃ, ½ºÅ丮Áö, ³×Æ®¿öÅ© ¾ÆÅ°ÅØÃ³ÀÇ Áö¼ÓÀûÀÎ Çõ½Å µî ¿©·¯ °¡Áö ¿äÀο¡ ÀÇÇØ ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ÄÁÅ×À̳ÊÈ­, ¿öÅ©·Îµå ¿ÀÄɽºÆ®·¹À̼Ç, °¡»óÈ­ÀÇ ¹ßÀüÀ¸·Î Áö¸®ÀûÀ¸·Î ºÐ»êµÈ µ¥ÀÌÅͼ¾ÅÍ Àüü¿¡¼­ ½Ç½Ã°£ ¿öÅ©·Îµå °ü¸®°¡ °¡´ÉÇØÁ³½À´Ï´Ù. ¸Þ¸ð¸®, ÇÁ·Î¼¼¼­, ÀúÀåÀåÄ¡ÀÇ Çϵå¿þ¾î ·¹º§ÀÇ Çõ½ÅÀº ÇÏÀÌÆÛ½ºÄÉÀÏÀÇ È¿À²¼º°ú ½Å·Ú¼ºÀ» ´õ¿í Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù.

ÀºÇà, ¼Ò¸Å, ±³À°, ¹Ìµð¾î ½ºÆ®¸®¹Ö µîÀÇ ºÐ¾ß¿¡¼­ ÃÖÁ¾ ¿ëµµÀÇ È®ÀåÀº Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê ¾ÖÇø®ÄÉÀ̼Ç, ºÐ»ê ÄÄÇ»ÆÃ, °í¼Ó µ¥ÀÌÅÍ ¼­ºñ½º¿¡ ´ëÇÑ »õ·Î¿î ¼ö¿ä¸¦ âÃâÇϰí ÀÖ½À´Ï´Ù. ±â¾÷µéÀº ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ¹× ¸ÖƼ Ŭ¶ó¿ìµå Àü·«À» äÅÃÇϰí ÀÖÀ¸¸ç, ÇÏÀÌÆÛ½ºÄÉÀÏ Á¦°ø¾÷üµéÀº »óÈ£¿î¿ë¼º, º¸¾È, ¿öÅ©·Îµå ¸¶À̱׷¹ÀÌ¼Ç µµ±¸ Á¦°øÀ» °­È­Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, Àç»ý¿¡³ÊÁö, ¾×ü ³Ã°¢, Áö´ÉÇü Àü·Â °ü¸®¸¦ ÅëÇÑ Áö¼Ó °¡´ÉÇÑ µ¥ÀÌÅͼ¾ÅÍ ¿î¿µ¿¡ ´ëÇÑ ÅõÀÚµµ Àå±âÀûÀÎ ¼ºÀå¿¡ ±â¿©Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¹ßÀüÀ¸·Î ÇÏÀÌÆÛ½ºÄÉÀÏ Å¬¶ó¿ìµå ÀÎÇÁ¶ó´Â ±â¾÷ ¹× °ø°ø ºÎ¹® »ýŰè Àü¹Ý¿¡ °ÉÃÄ ¼¼°è µðÁöÅÐ ÀüȯÀÇ ÁßÃß·Î ÀÚ¸®¸Å±èÇϰí ÀÖ½À´Ï´Ù.

ºÎ¹®

Á¶Á÷ ±Ô¸ð(´ë±â¾÷, Áß¼Ò±â¾÷), ¿ëµµ(Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ ¿ëµµ, IoT ¿ëµµ, ºòµ¥ÀÌÅÍ ºÐ¼® ¿ëµµ, ±âŸ ¿ëµµ), ÃÖÁ¾ ¿ëµµ(ÀºÇà, ±ÝÀ¶¼­ºñ½º ¹× º¸Çè(BFSI) ÃÖÁ¾ ¿ëµµ, IT ¹× Åë½Å ÃÖÁ¾ ¿ëµµ, ¼Ò¸Å ¹× ¼ÒºñÀç ÃÖÁ¾ ¿ëµµ, ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ® ÃÖÁ¾ ¿ëµµ, Á¦Á¶ ÃÖÁ¾ ¿ëµµ, ¿¡³ÊÁö ¹× À¯Æ¿¸®Æ¼ ÃÖÁ¾ ¿ëµµ, ÇコÄɾî ÃÖÁ¾ ¿ëµµ, ±âŸ ÃÖÁ¾ ¿ëµµ)

Á¶»ç ´ë»ó ±â¾÷ ¿¹

AI ÅëÇÕ

Global Industry Analysts´Â À¯È¿ÇÑ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AIÅø¿¡ ÀÇÇØ¼­, ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ º¯ÇõÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â ÀϹÝÀûÀÎ LLM³ª ¾÷°èº° SLM Äõ¸®¿¡ µû¸£´Â ´ë½Å¿¡, ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ´ë·® ±â¾÷, Á¦Ç°/¼­ºñ½º, ½ÃÀå µ¥ÀÌÅÍ µî, Àü ¼¼°è Àü¹®°¡·ÎºÎÅÍ ¼öÁýÇÑ ÄÁÅÙÃ÷ ¸®Æ÷ÁöÅ丮¸¦ ±¸ÃàÇß½À´Ï´Ù.

°ü¼¼ ¿µÇâ °è¼ö

Global Industry Analysts´Â º»»ç ¼ÒÀçÁö, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±âÁØÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇß½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¼öÀÍ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº Ç϶ô, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû, °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Hyperscale Cloud Market to Reach US$2.1 Trillion by 2030

The global market for Hyperscale Cloud estimated at US$446.2 Billion in the year 2024, is expected to reach US$2.1 Trillion by 2030, growing at a CAGR of 29.3% over the analysis period 2024-2030. Large Enterprise, one of the segments analyzed in the report, is expected to record a 31.7% CAGR and reach US$1.5 Trillion by the end of the analysis period. Growth in the Small & Medium Sized Enterprises segment is estimated at 24.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$117.3 Billion While China is Forecast to Grow at 27.7% CAGR

The Hyperscale Cloud market in the U.S. is estimated at US$117.3 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$313.0 Billion by the year 2030 trailing a CAGR of 27.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 27.1% and 25.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 20.1% CAGR.

Global Hyperscale Cloud Market - Key Trends & Drivers Summarized

Why Are Enterprises Increasingly Migrating to Hyperscale Cloud Infrastructure?

Hyperscale cloud platforms are transforming the way organizations manage computing resources by offering on-demand, scalable, and cost-efficient infrastructure. Enterprises are moving away from traditional on-premise systems to leverage hyperscale cloud environments that support rapid deployment, global availability, and flexible resource allocation. This migration is driven by the need to support complex workloads such as big data analytics, artificial intelligence, and high-volume transaction processing in real time.

Businesses of all sizes are adopting hyperscale cloud to improve agility, reduce capital expenditure, and enhance operational scalability. Cloud-native companies, software providers, and multinational corporations are shifting core infrastructure to hyperscale platforms provided by major players. These platforms offer not only compute and storage but also integrated services such as databases, machine learning tools, and edge computing resources. The shift is especially pronounced in industries undergoing digital transformation, including retail, healthcare, banking, and manufacturing.

How Are Architecture and Service Offerings Evolving in the Hyperscale Cloud Space?

Hyperscale architecture is designed for high availability, fault tolerance, and rapid resource provisioning. Data centers are being built with thousands of physical servers and storage devices managed through advanced orchestration software. These facilities use containerization, microservices, and automated load balancing to support continuous application delivery and uninterrupted service performance. Modular expansion of compute, storage, and networking enables seamless scale-out based on workload intensity.

Service offerings continue to evolve, with providers introducing industry-specific solutions, advanced data security layers, and hybrid cloud tools for integration with legacy systems. AI-as-a-Service, DevOps platforms, and low-code development tools are becoming integral parts of hyperscale cloud portfolios. Multi-region replication, high-speed interconnects, and GPU acceleration are also supporting advanced use cases such as real-time analytics, streaming, and AI model training. These capabilities are enabling organizations to meet performance demands without owning infrastructure.

Where Is Market Demand Concentrated, and Which Segments Are Accelerating Adoption?

Demand for hyperscale cloud services is concentrated in sectors with dynamic computing needs and strong digital footprints. Technology, financial services, media, telecom, and e-commerce companies are at the forefront of adoption due to their dependence on real-time data processing and scalable infrastructure. Governments and public sector agencies are also deploying hyperscale cloud to support digital governance, smart city platforms, and large-scale citizen service systems.

Geographically, North America leads in hyperscale cloud adoption due to early market maturity, followed by Europe and Asia Pacific. In Asia, rapid digitalization, growing internet penetration, and enterprise IT modernization are driving demand. Startups and mid-sized enterprises in developing regions are also using hyperscale cloud to bypass legacy infrastructure investment and access enterprise-grade tools at flexible cost structures. Data sovereignty and local compliance concerns are prompting providers to establish regional data centers and customizable deployment models.

What Is Driving Growth in the Hyperscale Cloud Market?

Growth in the hyperscale cloud market is driven by several factors including increasing enterprise reliance on scalable infrastructure, rising deployment of AI and data-intensive applications, and continuous innovation in compute, storage, and network architectures. Advancements in containerization, workload orchestration, and virtualization are enabling real-time workload management across geographically distributed data centers. Hardware-level innovations in memory, processors, and storage devices are further enhancing hyperscale efficiency and reliability.

End-use expansion in sectors such as banking, retail, education, and media streaming is creating new demand for cloud-native applications, distributed computing, and high-speed data services. Organizations are adopting hybrid and multi-cloud strategies, pushing hyperscale providers to offer greater interoperability, security, and workload migration tools. Investment in sustainable data center operations using renewable energy, liquid cooling, and intelligent power management is also contributing to long-term growth. These developments are positioning hyperscale cloud infrastructure as the backbone of global digital transformation across both enterprise and public-sector ecosystems.

SCOPE OF STUDY:

The report analyzes the Hyperscale Cloud market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Organization Size (Large Enterprise, Small & Medium Sized Enterprises); Application (Cloud Computing Application, IoT Application, Big Data Analytics Application, Other Applications); End-Use (BFSI End-Use, IT & Telecom End-Use, Retail & Consumer Goods End-Use, Media & Entertainment End-Use, Manufacturing End-Use, Energy & Utilities End-Use, Healthcare End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 44 Featured) -

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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