¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå
Serverless Computing
»óǰÄÚµå : 1773898
¸®¼­Ä¡»ç : Global Industry Analysts, Inc.
¹ßÇàÀÏ : 2025³â 07¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 390 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 5,850 £Ü 8,112,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 17,550 £Ü 24,338,000
PDF (Global License to Company and its Fully-owned Subsidiaries) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

¼­¹ö¸®½º ÄÄÇ»ÆÃ ¼¼°è ½ÃÀåÀº 2030³â±îÁö ¹Ì±¹¿¡¼­ 488¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 212¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼­¹ö¸®½º ÄÄÇ»ÆÃ ¼¼°è ½ÃÀåÀº 2024³âºÎÅÍ 2030³â±îÁö CAGR 14.8%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 488¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ÄÄǻƮ ¼­ºñ½º´Â CAGR 16.8%¸¦ ±â·ÏÇÏ¸ç ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 137¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¼­¹ö¸®½º ½ºÅ丮Áö ¼­ºñ½º ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ µ¿¾È CAGR 16.5%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 58¾ï ´Þ·¯, Áß±¹Àº CAGR 20.0%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹Ãø

¹Ì±¹ÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀåÀº 2024³â¿¡ 58¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGR 20.0%·Î 2030³â¿¡´Â ¿¹Ãø ½ÃÀå ±Ô¸ð°¡ 107¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖ°í, ºÐ¼® ±â°£ µ¿¾È CAGRÀº °¢°¢ 10.8%¿Í 13.4%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR 11.8%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

ÀÎÇÁ¶ó °ü¸®ÀÇ ¾à¼ÓÀÌ ¼­¹ö¸®½º ¸ð¸àÅÒÀ» ÃËÁø?

¼­¹ö¸®½º ÄÄÇ»ÆÃÀº Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºêÀÇ Æ´»õ °³³ä¿¡¼­ Çö´ëÀû ¾ÖÇø®ÄÉÀÌ¼Ç °³¹ßÀÇ ÁÖ·ù Á¢±Ù ¹æ½ÄÀ¸·Î ºü¸£°Ô ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. ¼­¹ö¸®½º ÄÄÇ»ÆÃÀÇ ÇÙ½ÉÀº °³¹ßÀÚ°¡ ¹°¸®Àû ¼­¹ö³ª °¡»ó ¸Ó½ÅÀ» ÇÁ·ÎºñÀú´×, °ü¸®, È®ÀåÇÏÁö ¾Ê°íµµ Äڵ带 ½ÇÇàÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â °ÍÀÔ´Ï´Ù. ÀÌ ¾ÆÅ°ÅØÃ³´Â ÀÎÇÁ¶ó °ü¸®¸¦ Ãß»óÈ­ÇÏ¿© °³¹ß ¶óÀÌÇÁ»çÀÌŬÀ» Å©°Ô °£¼ÒÈ­ÇÏ¿© ÆÀÀÌ ¼ø¼öÇÏ°Ô ±â´É ¼³¸í°ú ¹èÆ÷¿¡ ÁýÁßÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. ±â¾÷µéÀÌ µðÁöÅÐ Àüȯ Àü·«¿¡¼­ ¼Óµµ, ¹Îø¼º, ºñ¿ë È¿À²¼ºÀ» ¿ì¼±½ÃÇÏ´Â °æÇâÀÌ ³ô¾ÆÁü¿¡ µû¶ó, ¼­¹ö¸®½º ¸ðµ¨Àº API¿Í ¸¶ÀÌÅ©·Î¼­ºñ½º¿¡¼­ ¹é¿£µå ÀÚµ¿È­, À̺¥Æ® ±â¹Ý ó¸®, ½Ç½Ã°£ µ¥ÀÌÅÍ ½ºÆ®¸²¿¡ À̸£±â±îÁö ´Ù¾çÇÑ »ç¿ë »ç·Ê¿¡¼­ ¸Å¿ì ¸Å·ÂÀûÀÔ´Ï´Ù. AWS(Lambda), Microsoft Azure(Functions), Google Cloud(Cloud Functions) µî ÁÖ¿ä Ŭ¶ó¿ìµå Ç÷§ÆûÀº ¼­¹ö¸®½º »ýŰ迡 ¸·´ëÇÑ ÅõÀÚ¸¦ Çϰí ÀÖÀ¸¸ç, ±ä¹ÐÇÏ°Ô DevOps¿Í Áö¼ÓÀû µô¸®¹ö¸® ÆÄÀÌÇÁ¶óÀÎÀ» äÅÃÇÏ´Â ±â¾÷µéµµ ¼­¹ö¸®½º¸¦ äÅÃÇÏ¿© ¹èÆ÷ ¿À¹öÇìµå¸¦ ÁÙÀÌ°í ½ÃÀå Ãâ½Ã ½Ã°£À» ´ÜÃàÇϱâ À§ÇØ ¼­¹ö¸®½º¸¦ äÅÃÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¯È­´Â Ŭ¶ó¿ìµå ½Ã´ëÀÇ ¾ÖÇø®ÄÉÀÌ¼Ç ±¸Ãà ¹× ¿î¿µ ¹æ½ÄÀÇ ±Ùº»ÀûÀÎ º¯È­¸¦ ÀǹÌÇϸç, ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¿¡ ´ëÇÑ Æø³ÐÀº °ü½É°ú äÅÃÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

¾ÖÇø®ÄÉÀ̼ÇÀÇ º¹À⼺ÀÌ À̺¥Æ® ±â¹Ý ¾ÆÅ°ÅØÃ³¿¡ ´ëÇÑ »õ·Î¿î ¼ö¿ä¸¦ âÃâÇÑ´Ù?

Çö´ëÀÇ µðÁöÅÐ ¾ÖÇø®ÄÉÀ̼ÇÀº Á¡Á¡ ´õ ¸ðµâÈ­, ºÐ»êÈ­, À̺¥Æ® Áß½ÉÈ­µÇ°í ÀÖÀ¸¸ç, ¼­¹ö¸®½º ÄÄÇ»ÆÃÀÌ ÀÌ»óÀûÀΠȯ°æÀ» Á¶¼ºÇϰí ÀÖ½À´Ï´Ù. ±â¾÷ÀÌ ¸¶ÀÌÅ©·Î¼­ºñ½º ¾ÆÅ°ÅØÃ³·Î ÀüȯÇÔ¿¡ µû¶ó ¼­¹ö¸®½º ±â´ÉÀº HTTP ¿äû, µ¥ÀÌÅͺ£À̽º º¯°æ, ÆÄÀÏ ¾÷·Îµå, IoT ½ÅÈ£¿Í °°Àº Æ®¸®°Å¿¡ ¹ÝÀÀÇÏ¿© °³º° ÀÛ¾÷À» ½ÇÇàÇÏ´Â °¡º±°í È®Àå °¡´ÉÇϸç È¿À²ÀûÀÎ ¹æ¹ýÀ» Á¦°øÇÕ´Ï´Ù. ½Ç½Ã°£ ºÐ¼®, »ç¿ëÀÚ °³ÀÎÈ­, »ç±â ŽÁö, µ¥ÀÌÅÍ º¯È¯ ¿öÅ©Ç÷ο쿡 ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁü¿¡ µû¶ó È®Àå °¡´ÉÇÑ À̺¥Æ® ó¸® ½Ã½ºÅÛÀÇ Çʿ伺ÀÌ ´õ¿í Ä¿Áö°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¼­¹ö¸®½º ÄÄÇ»ÆÃÀº ÀÚµ¿ ½ºÄÉÀϸµÀ» Áö¿øÇÕ´Ï´Ù. Áï, ¼öµ¿ °³ÀÔ ¾øÀ̵µ ¿öÅ©·Îµå°¡ ¼ö¿ä º¯µ¿¿¡ Áï°¢ÀûÀ¸·Î ÀûÀÀÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ´Â ½ºÆ®¸®¹Ö ¹Ìµð¾î, E-Commerce, ¿©Çà ¿¹¾à Ç÷§Æû°ú °°ÀÌ ¿¹ÃøÇÒ ¼ö ¾ø°í ¼ö¿ä°¡ ±ÞÁõÇÏ´Â ¾ÖÇø®ÄÉÀ̼ǿ¡ ƯÈ÷ À¯¿ëÇÕ´Ï´Ù. ½ºÅ¸Æ®¾÷°ú ±â¾÷ ¸ðµÎ °úµµÇÑ ÇÁ·ÎºñÀú´×À» ÇÇÇϰí À¯ÈÞ ¸®¼Ò½ºÀÇ ºñ¿ëÀ» ÃÖ¼ÒÈ­Çϱâ À§ÇØ ¼­¹ö¸®½º¸¦ Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¿ªÇаü°è´Â BaaS(backend-as-a-service) ¹× FaaS(function-as-a-service) ¸ðµ¨ÀÇ ÁøÈ­¸¦ ÃËÁøÇϰí, Ŭ¶ó¿ìµå Á¦°ø¾÷ü°¡ ·±Å¸ÀÓ È®Àå, ´õ ¸¹Àº ÇÁ·Î±×·¡¹Ö ¾ð¾î Áö¿ø, API, Å¥, ½áµåÆÄƼ ¼­ºñ½º¿ÍÀÇ ÅëÇÕÀ» °­È­ÇÒ ¼ö ÀÖ´Â ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. Ÿ»ç ¼­ºñ½º¿ÍÀÇ ÅëÇÕÀ» °­È­Çϵµ·Ï À¯µµÇϰí ÀÖ½À´Ï´Ù.

»ýÅÂ°è ¼º¼÷°ú ºñ¿ë ÃÖÀûÈ­·Î ±â¾÷ µµÀÔ °¡¼ÓÈ­?

Ãʱ⿡ ¼­¹ö¸®½º ÄÄÇ»ÆÃÀº °¡º­¿î ¿öÅ©·Îµå³ª ¹«Á¤Áö ¿öÅ©·Îµå¿¡¸¸ ÀûÇÕÇÏ´Ù°í ¿©°ÜÁ³Áö¸¸, º¹ÀâÇÏ°í ¹Ì¼Ç Å©¸®Æ¼ÄÃÇÑ ¾ÖÇø®ÄÉÀ̼ÇÀ» Áö¿øÇÒ ¼ö ÀÖ´Â °­·ÂÇÑ ¼Ö·ç¼ÇÀ¸·Î ¹ßÀüÇß½À´Ï´Ù. °üÃø°¡´É¼º, º¸¾È, Äݵ彺ŸƮ Áö¿¬½Ã°£, ¸®¼Ò½º Á¦ÇÑÀÌ °³¼±µÇ¸é¼­ ¿£ÅÍÇÁ¶óÀÌÁî ȯ°æ¿¡¼­ ¼­¹ö¸®½º ÄÄÇ»ÆÃÀÇ ½ÇÇö °¡´É¼ºÀÌ È®´ëµÆ½À´Ï´Ù. º¥´õµéÀº ¼­¹ö¸®½º ¿öÅ©·Îµå¸¦ À§ÇÑ ¸ÂÃãÇü ¸ð´ÏÅ͸µ µµ±¸, ¼­ºñ½º ¸Þ½Ã, º¸¾È Á¤Ã¥À¸·Î ´ëÀÀÇϰí ÀÖ½À´Ï´Ù. ÀÌ¿Í ÇÔ²² ¸ÖƼ Ŭ¶ó¿ìµå ¹× ÇÏÀ̺긮µå ¹èÆ÷ÀÇ ºÎ»óÀ¸·Î OpenFaaS, Knative, Kubeless¿Í °°Àº ¿ÀÇ ¼Ò½º ÇÁ·¹ÀÓ¿öÅ©°¡ µîÀåÇÏ¿© Ŭ¶ó¿ìµå ȯ°æ °£ À̽ļº°ú Ãß»óÈ­¸¦ Á¦°øÇϰí ÀÖ½À´Ï´Ù. ¼­¹ö¸®½º µµÀÔÀ» ÃËÁøÇÏ´Â ¶Ç ´Ù¸¥ Å« ¿äÀÎÀº ºñ¿ë ÃÖÀûÈ­ÀÔ´Ï´Ù. ½ÇÇà´ç °ú±Ý ¸ðµ¨Àº ±â¾÷ÀÌ ¿¹¾àµÈ ¿ë·®ÀÌ ¾Æ´Ñ ½ÇÁ¦ »ç¿ë·®¿¡ ´ëÇØ¼­¸¸ ºñ¿ëÀ» ÁöºÒÇϵµ·Ï º¸ÀåÇϸç, ¿¹ÃøÇÒ ¼ö ¾ø´Â ¿öÅ©·Îµå³ª °£ÇæÀûÀÎ ¿öÅ©·Îµå¿¡ ÀûÇÕÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ºñ¿ë ÅëÁ¦ ±¸Á¶´Â °í°¡ÀÇ ÀÎÇÁ¶ó ºñ¿ë ¾øÀÌ »õ·Î¿î ¼­ºñ½º¸¦ ½ÃÇèÇØº¸°íÀÚ ÇÏ´Â ½ºÅ¸Æ®¾÷, °³¹ßÆÀ, Çõ½Å ¿¬±¸¼Ò¿¡ ƯÈ÷ ¸Å·ÂÀûÀÔ´Ï´Ù. ¶ÇÇÑ, ¼­¹ö¸®½º´Â µðÁöÅÐ Á¦Ç° °³¹ßÀ» °¡¼ÓÈ­Çϰí, ¹ÎøÇÑ ÇÁ·ÎÅäŸÀÌÇÎ, ¿øÈ°ÇÑ È®Àå, ºü¸¥ ½ÃÀå Ãâ½Ã Áֱ⸦ °¡´ÉÇÏ°Ô ÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÀåÁ¡À¸·Î ÀÎÇØ ±ÝÀ¶, ¹Ìµð¾î, ¼Ò¸Å, ÇコÄÉ¾î µîÀÇ ±â¾÷µéÀº ƯÈ÷ ¹é¿£µå ÀÚµ¿È­, ¸ð¹ÙÀÏ ¾Û Áö¿ø, IoT ÅëÇÕ°ú °°Àº ¿öÅ©·Îµå¸¦ ¼­¹ö¸®½º Ç÷§Æû¿¡¼­ ½ÇÇèÇϰųª ¼­¹ö¸®½º Ç÷§ÆûÀ¸·Î ÀüȯÇϰí ÀÖ½À´Ï´Ù.

¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀåÀÇ ±Þ¼ºÀå ¿øµ¿·ÂÀº?

¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀåÀÇ ¼ºÀåÀº ±â¼úÀÇ ÁøÈ­, ±â¾÷ÀÇ IT Àü·«, °³¹ßÀÚÀÇ ¿öÅ©ÇÃ·Î¿ì º¯È­¿Í Á÷°áµÇ´Â ¸î °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. ù°, Ŭ¶ó¿ìµå ³×ÀÌÆ¼ºê °³¹ßÀÇ ±Þ°ÝÇÑ Áõ°¡¿Í ÄÁÅ×À̳ÊÈ­ÀÇ ±¤¹üÀ§ÇÑ Ã¤ÅÃÀº ¸ðµâÈ­µÇ°í ´À½¼ÇÏ°Ô °áÇÕµÈ ¾ÆÅ°ÅØÃ³¸¦ Áö¿øÇÏ´Â ¼­¹ö¸®½º ÇÁ·¹ÀÓ¿öÅ©ÀÇ ºñ¿ÁÇÑ Åä¾çÀ» Á¶¼ºÇϰí ÀÖ½À´Ï´Ù. µÑ°, ±ÝÀ¶ °Å·¡, ÄÁÅÙÃ÷ Ãßõ, ½º¸¶Æ® ±â±â µîÀÇ ¾ÖÇø®ÄÉÀ̼ǿ¡¼­ ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó À̺¥Æ® ±â¹Ý ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³ÀÇ µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ¼Â°, DevOps¿Í ¾ÖÀÚÀÏ °³¹ß °üÇàÀ¸·ÎÀÇ ÀüȯÀº ÀÎÇÁ¶ó ÀÚµ¿È­¿Í CI/CD ÅëÇÕ¿¡ ´ëÇÑ °ü½ÉÀ» ³ôÀ̰í ÀÖÀ¸¸ç, ÀÌ µÎ °¡Áö ¸ðµÎ ¼­¹ö¸®½º Ç÷§Æû°ú ÀÚ¿¬½º·´°Ô ¿¬°èµÇ°í ÀÖ½À´Ï´Ù. ³Ý°, ³¶ºñ ¾ø´Â ÀÎÇÁ¶ó¸¦ ¿øÇÏ´Â ½ºÅ¸Æ®¾÷°ú µðÁöÅÐ ³×ÀÌÆ¼ºê ±â¾÷µéÀÌ ¸·´ëÇÑ ¼±ÅõÀÚ ¾øÀÌ ¼­ºñ½º¸¦ ½ÃÀÛÇϱâ À§ÇØ ¼­¹ö¸®½º¿¡ ÁÖ¸ñÇϰí ÀÖ½À´Ï´Ù. ´Ù¼¸Â°, API ¿ì¼± ¹× ¸¶ÀÌÅ©·Î¼­ºñ½º ±â¹Ý ¾ÆÅ°ÅØÃ³·ÎÀÇ ±¤¹üÀ§ÇÑ ±â¾÷ ÀüȯÀº µ¶¸³ÀûÀ¸·Î ¹èÆ÷µÇ°í ÀÚµ¿À¸·Î È®ÀåÇÒ ¼ö ÀÖ´Â ¼­¹ö¸®½º ±â´É¿¡ ´ëÇÑ ¼ö¿ä¸¦ °­È­Çϰí ÀÖ½À´Ï´Ù. ¿©¼¸Â°, ¼­¹ö¸®½º ȯ°æÀÇ ¸ð´ÏÅ͸µ, µð¹ö±ë, º¸¾ÈÀ» º¸ÀåÇÏ´Â ÅøÀÇ °³¼±À¸·Î ±â¾÷ÀÇ ½Å·Úµµ°¡ ³ô¾ÆÁ® µµÀÔ À庮ÀÌ ³·¾ÆÁö°í ÀÖ½À´Ï´Ù. ¸¶Áö¸·À¸·Î, ¿§Áö ÄÄÇ»ÆÃ°ú 5G ³×Æ®¿öÅ©ÀÇ È®ÀåÀ¸·Î ÀÎÇØ ¼­¹ö¸®½ºÀÇ »õ·Î¿î »ç¿ë »ç·Ê, ƯÈ÷ ÇöÁöÈ­µÈ ±â´É ½ÇÇàÀÇ ÀÌÁ¡À» ´©¸± ¼ö ÀÖ´Â ÀúÁö¿¬ ºÐ»êÇü ¾ÖÇø®ÄÉÀ̼ÇÀÇ »õ·Î¿î »ç¿ë »ç·Ê°¡ »ý°Ü³ª°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼·Î ÀÎÇØ ¼­¹ö¸®½º ÄÄÇ»ÆÃÀº Ŭ¶ó¿ìµå ÀÎÇÁ¶ó ¹× ¾ÖÇø®ÄÉÀÌ¼Ç µô¸®¹ö¸®ÀÇ ¹Ì·¡¸¦ À§ÇÑ ±âº» °èÃþÀ¸·Î ÀÚ¸®¸Å±èÇϰí ÀÖ½À´Ï´Ù.

ºÎ¹®

¼­ºñ½º À¯Çü(ÄÄǻƮ ¼­ºñ½º, ¼­¹ö¸®½º ½ºÅ丮Áö ¼­ºñ½º, ¼­¹ö¸®½º µ¥ÀÌÅͺ£À̽º ¼­ºñ½º, ¾ÖÇø®ÄÉÀÌ¼Ç ÅëÇÕ ¼­ºñ½º, ¸ð´ÏÅ͸µ ¹× º¸¾È ¼­ºñ½º, ±âŸ ¼­ºñ½º À¯Çü), ¼­ºñ½º ¸ðµ¨(Function as a Service, Backend as a Service), ¾÷°èº°(IT ¹× Åë½Å ¾÷°èº°, BFSI ¾÷°èº°, ¼Ò¸Å ¹× ¼ÒºñÀç ¾÷°èº°, ÇコÄÉ¾î ¹× »ý¸í°úÇÐ ¾÷°èº°, Á¤ºÎ ¹× ¹æÀ§ ¾÷°èº°, ±âŸ ¾÷°èº°)

Á¶»ç ´ë»ó ±â¾÷ »ç·Ê

AI ÅëÇÕ

Global Industry Analysts´Â °ËÁõµÈ Àü¹®°¡ ÄÁÅÙÃ÷¿Í AI ÅøÀ» ÅëÇØ ½ÃÀå Á¤º¸¿Í °æÀï Á¤º¸¸¦ Çõ½ÅÇϰí ÀÖ½À´Ï´Ù.

Global Industry Analysts´Â LLM ¹× ¾÷°è °íÀ¯ÀÇ SLMÀ» Á¶È¸ÇÏ´Â ÀϹÝÀûÀÎ ±Ô¹üÀ» µû¸£´Â ´ë½Å ºñµð¿À ±â·Ï, ºí·Î±×, °Ë»ö ¿£Áø Á¶»ç, ¹æ´ëÇÑ ¾çÀÇ ±â¾÷, Á¦Ç°/¼­ºñ½º, ½ÃÀå µ¥ÀÌÅÍ µî ¼¼°è Àü¹®°¡°¡ ¼±º°ÇÑ ÄÁÅÙÃ÷ ¸®Æ÷ÁöÅ丮¸¦ ±¸ÃàÇß½À´Ï´Ù.

°ü¼¼ ¿µÇâ °è¼ö

Global Industry Analysts´Â º»»çÀÇ ±¹°¡, Á¦Á¶°ÅÁ¡, ¼öÃâÀÔ(¿ÏÁ¦Ç° ¹× OEM)À» ±â¹ÝÀ¸·Î ±â¾÷ÀÇ °æÀï·Â º¯È­¸¦ ¿¹ÃøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¹ÀâÇÏ°í ´Ù¸éÀûÀÎ ½ÃÀå ¿ªÇÐÀº ¸ÅÃâ¿ø°¡(COGS) Áõ°¡, ¼öÀͼº °¨¼Ò, °ø±Þ¸Á ÀçÆí µî ¹Ì½ÃÀû ¹× °Å½ÃÀû ½ÃÀå ¿ªÇÐ Áß¿¡¼­µµ ƯÈ÷ °æÀï»çµé¿¡°Ô ¿µÇâÀ» ¹ÌÄ¥ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå ºÐ¼®

Á¦4Àå °æÀï

ksm
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global Serverless Computing Market to Reach US$48.8 Billion by 2030

The global market for Serverless Computing estimated at US$21.2 Billion in the year 2024, is expected to reach US$48.8 Billion by 2030, growing at a CAGR of 14.8% over the analysis period 2024-2030. Compute Service, one of the segments analyzed in the report, is expected to record a 16.8% CAGR and reach US$13.7 Billion by the end of the analysis period. Growth in the Serverless Storage Service segment is estimated at 16.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$5.8 Billion While China is Forecast to Grow at 20.0% CAGR

The Serverless Computing market in the U.S. is estimated at US$5.8 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$10.7 Billion by the year 2030 trailing a CAGR of 20.0% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 10.8% and 13.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.8% CAGR.

Global Serverless Computing Market - Key Trends & Drivers Summarized

Is the Promise of Zero Infrastructure Management Driving Serverless Momentum?

Serverless computing has rapidly evolved from a niche cloud-native concept into a mainstream approach for modern application development. At its core, serverless computing allows developers to run code without provisioning, managing, or scaling physical servers or virtual machines, with resources automatically allocated by the cloud provider on demand. This architecture significantly streamlines the development lifecycle by abstracting infrastructure management and enabling teams to focus purely on writing and deploying functionality. As businesses increasingly prioritize speed, agility, and cost-efficiency in their digital transformation strategies, serverless models are becoming highly attractive for a wide range of use cases-from APIs and microservices to backend automation, event-driven processing, and real-time data streams. Major cloud platforms like AWS (Lambda), Microsoft Azure (Functions), Google Cloud (Cloud Functions), and others have heavily invested in serverless ecosystems, offering tightly integrated tools, scalable runtimes, and simplified pricing models. Enterprises adopting DevOps and continuous delivery pipelines are also embracing serverless to reduce deployment overhead and accelerate time to market. This shift represents a fundamental change in how applications are built and operated in the cloud era, driving widespread interest and adoption of serverless architectures.

Is Application Complexity Creating a New Demand for Event-Driven Architectures?

Modern digital applications are becoming increasingly modular, distributed, and event-driven, creating an ideal environment for serverless computing to thrive. As companies move toward microservices architecture, serverless functions offer a lightweight, scalable, and efficient way to execute discrete tasks in response to triggers such as HTTP requests, database changes, file uploads, or IoT signals. The growing reliance on real-time analytics, user personalization, fraud detection, and data transformation workflows is fueling the need for scalable event processing systems-which serverless platforms are uniquely positioned to deliver. Furthermore, serverless computing supports automatic scaling, meaning workloads can instantly adjust to fluctuations in demand without manual intervention, which is particularly valuable in unpredictable, bursty applications like streaming media, e-commerce, or travel booking platforms. Startups and enterprises alike are using serverless to avoid overprovisioning and minimize idle resource costs. These dynamics are driving the evolution of backend-as-a-service (BaaS) and function-as-a-service (FaaS) models, and pushing cloud providers to expand runtimes, support more programming languages, and enhance integration with APIs, queues, and third-party services.

Are Ecosystem Maturity and Cost Optimization Accelerating Adoption Across Enterprises?

Initially perceived as suitable only for lightweight or stateless workloads, serverless computing has matured into a robust solution capable of supporting complex, mission-critical applications. Improvements in observability, security, cold start latency, and resource limits have expanded the viability of serverless in enterprise environments. Vendors have responded with better monitoring tools, service meshes, and security policies tailored for serverless workloads. In parallel, the rise of multi-cloud and hybrid deployments has led to the emergence of open-source frameworks such as OpenFaaS, Knative, and Kubeless, offering portability and abstraction across cloud environments. Another major factor boosting serverless adoption is cost optimization. The pay-per-execution model ensures that organizations only pay for actual usage rather than reserved capacity, which aligns well with unpredictable or intermittent workloads. This cost control mechanism is particularly attractive for startups, development teams, and innovation labs experimenting with new services without incurring high infrastructure costs. Serverless also plays a critical role in accelerating digital product development, enabling agile prototyping, seamless scaling, and faster go-to-market cycles. These advantages are driving organizations across finance, media, retail, and healthcare to experiment with or transition workloads to serverless platforms, especially for backend automation, mobile app support, and IoT integrations.

What’s Fueling the Rapid Growth of the Serverless Computing Market?

The growth in the serverless computing market is driven by several factors directly linked to technological evolution, enterprise IT strategies, and changing developer workflows. First, the surge in cloud-native development and the widespread adoption of containerization are creating a fertile ground for serverless frameworks that support modular, loosely coupled architectures. Second, the growing demand for real-time data processing in applications like financial transactions, content recommendations, and smart devices is accelerating the deployment of event-driven, serverless architectures. Third, the shift toward DevOps and agile development practices is boosting interest in infrastructure automation and CI/CD integration, both of which are naturally aligned with serverless platforms. Fourth, startups and digital-native companies seeking lean infrastructure are turning to serverless to launch services without heavy upfront capital investment. Fifth, the broader enterprise shift toward API-first and microservices-based architectures is reinforcing demand for serverless functions that can be deployed independently and scaled automatically. Sixth, improved tooling for monitoring, debugging, and securing serverless environments is increasing enterprise confidence and reducing adoption barriers. Lastly, the expansion of edge computing and 5G networks is opening new use cases for serverless, particularly in low-latency, decentralized applications that benefit from localized function execution. Together, these trends are positioning serverless computing as a foundational layer in the future of cloud infrastructure and application delivery.

SCOPE OF STUDY:

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

Segments:

Service Type (Compute Service, Serverless Storage Service, Serverless Database Service, Application Integration Service, Monitoring & Security Service, Other Service Types); Service Model (Function as a Service, Backend as a Service); Vertical (IT & Telecom Vertical, BFSI Vertical, Retail & Consumer Goods Vertical, Healthcare & Life Sciences Vertical, Government & Defense Vertical, Other Verticals)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 42 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