½ÃÀ庸°í¼­
»óǰÄÚµå
1587626

¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå ¿¹Ãø : ¼­ºñ½º À¯Çüº°, ÀÌ¿ë À¯Çüº°, Àü°³ ¸ðµ¨º°, ±â¾÷ ±Ô¸ðº°, ¿ëµµº°, ÃÖÁ¾ »ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®(-2030³â)

Serverless Computing Market Forecasts to 2030 - Global Analysis By Service Type (Function as a Service (FaaS), Backend as a Service (BaaS) and Serverless Containers), Usage Type, Deployment Model, Enterprise Size, Application, End User and By Geography

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Stratistics Market Research Consulting | ÆäÀÌÁö Á¤º¸: ¿µ¹® 200+ Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀåÀº 2024³â¿¡ 147¾ï ´Þ·¯·Î ÃßÁ¤µÇ°í, ¿¹Ãø ±â°£ µ¿¾È CAGRÀº 22.0%·Î ¼ºÀåÇÒ Àü¸ÁÀ̸ç, 2030³â¿¡´Â 485¾ï ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¼­¹ö¸®½º ÄÄÇ»ÆÃÀº Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀÇ ½ÇÇà ¸ðµ¨·Î °³¹ßÀÚ´Â ¼­¹ö ÀÎÇÁ¶ó¸¦ °ü¸®ÇÏÁö ¾Ê°í ¾ÖÇø®ÄÉÀ̼ÇÀ» ±¸ÃàÇÏ°í ½ÇÇàÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ¸ðµ¨¿¡¼­´Â Ŭ¶ó¿ìµå °ø±ÞÀÚ°¡ ¸®¼Ò½º¸¦ µ¿ÀûÀ¸·Î ÇÒ´çÇϰí Çʿ信 µû¶ó ±â´É ½ÇÇàÀ» ÀÚµ¿À¸·Î Á¶Á¤ÇÏ°í °ü¸®ÇÕ´Ï´Ù. °³¹ßÀÚ´Â Äڵ带 ÀÛ¼ºÇÏ´Â °Í¿¡¸¸ ÁýÁßÇÏ°í °ø±ÞÀÚ´Â ÇÁ·ÎºñÀú´×, ½ºÄÉÀϸµ, À¯Áö °ü¸® µîÀÇ ÀÛ¾÷À» ó¸®ÇÕ´Ï´Ù. ÀÌ Á¢±Ù ¹æ½ÄÀº »ç¿ëÀÚ°¡ ½ÇÇà Áß¿¡ ¼ÒºñµÇ´Â ÄÄÇ»ÆÃ ¸®¼Ò½º¿¡ ´ëÇØ¼­¸¸ ºñ¿ëÀ» ÁöºÒÇϹǷΠºñ¿ë È¿À²ÀûÀ̰í ÀÛ¾÷ ºÎÇϰ¡ º¯ÇÏ´Â ¿ëµµ¿¡ ÀÌ»óÀûÀÔ´Ï´Ù.

À¯Å¸¸¦ ±â¹ÝÀ¸·Î ÇÏ´Â Áö´ÉÇü IT ÀÚµ¿È­ ¼ÒÇÁÆ®¿þ¾î Á¦°ø¾÷üÀÎ SaltStackÀÇ ÃÖ±Ù Á¶»ç¿¡ µû¸£¸é 3ºÐÀÇ 2 Á¶Á÷ÀÌ ¾ÖÇø®ÄÉÀ̼ÇÀÇ 10% ÀÌ»óÀ» ÄÁÅ×À̳ÊÈ­Çϰí ÀÖÀ½¿¡µµ ºÒ±¸Çϰí 40%ÀÇ Á¶Á÷ÀÌ ÄÁÅ×ÀÌ³Ê Àü·«¿¡´Â º¸¾È¿¡ ´ëÇÑ ÃæºÐÇÑ ÅõÀÚ°¡ ÇÊ¿äÇÏ´Ù´Â °ÍÀ» ¿ì·ÁÇÒ Çʿ䰡 ÀÖ´Ù°í ÇÕ´Ï´Ù.

µðÁöÅÐ º¯È¯¿¡ ´ëÇÑ ³ë·Â

½ÃÀå¿¡¼­ÀÇ µðÁöÅÐ Àüȯ¿¡ ´ëÇÑ ³ë·ÂÀº Á¶Á÷ÀÌ ÀÎÇÁ¶ó °ü¸®ÀÇ º¹À⼺ ¾øÀÌ ¾ÖÇø®ÄÉÀ̼ÇÀ» ±¸ÃàÇϰí Àü°³ÇÒ ¼ö ÀÖ°Ô ÇÔÀ¸·Î½á Çõ½ÅÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÀüȯÀ¸·Î ±â¾÷Àº ºñÁî´Ï½º¸¦ ¿øÈ°ÇÏ°Ô È®ÀåÇÏ°í ºñ¿ëÀ» Àý°¨ÇÏ¸ç ½ÃÀå Ãâ½Ã ½Ã°£À» ´ÜÃàÇÒ ¼ö ÀÖ½À´Ï´Ù. ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¸¦ Ȱ¿ëÇÔÀ¸·Î½á ±â¾÷Àº ÇÙ½É ±â´É¿¡ ÁýÁßÇÏ°í ¹Îø¼ºÀ» ³ôÀÏ ¼ö ÀÖ¾î °í°´ °æÇèÀ» °³¼±ÇÏ°í ¾÷¹« È¿À²¼ºÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù.

ÀÎÇÁ¶ó¿¡ ´ëÇÑ ÅëÁ¦ ¼Õ½Ç

½ÃÀå¿¡¼­ ÀÎÇÁ¶ó¿¡ ´ëÇÑ ÅëÁ¦ÀÇ ¼Õ½ÇÀº Á¶Á÷¿¡ ½É°¢ÇÑ °úÁ¦¸¦ ÃÊ·¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. Ÿ»ç °ø±ÞÀÚ°¡ Áß¿äÇÑ ÄÄÆ÷³ÍÆ®¸¦ °ü¸®Çϱ⠶§¹®¿¡ ÀÌ·¯ÇÑ °¨½Ã ±â´ÉÀÌ ÀúÇÏµÇ¸é º¸¾È Ãë¾àÁ¡À¸·Î À̾îÁú ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¿ÜºÎ ¼­ºñ½º¿¡ ÀÇÁ¸ÇÏ¸é ±ÔÁ¦ ±âÁØ Áؼö°¡ º¹ÀâÇØÁö°í ¹®Á¦ ÇØ°áÀ» ¹æÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ °ø±Þ¾÷ü Á¤Ã¥ÀÇ ¿¹±âÄ¡ ¾ÊÀº º¯°æÀ̳ª ¼º´É ¹®Á¦·Î ÀÎÇØ ¾÷¹«°¡ Áß´ÜµÇ°í ½Å·Ú¼ºÀÌ ÀúÇ쵃 ¼ö ÀÖ½À´Ï´Ù.

½Å±â¼ú°úÀÇ ÅëÇÕ

½ÃÀåÀÇ »õ·Î¿î ±â¼ú°úÀÇ ÅëÇÕÀº ±â´ÉÀ» °­È­Çϰí Çõ½ÅÀ» ÃËÁøÇÕ´Ï´Ù. ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¸¦ ÀΰøÁö´É, ¸Ó½Å·¯´×, IoT¿Í °áÇÕÇÔÀ¸·Î½á ±â¾÷Àº º¸´Ù ÀÀ´ä¼ºÀÌ ¶Ù¾î³­ Áö´ÉÇü ¾ÖÇø®ÄÉÀ̼ÇÀ» ¸¸µé ¼ö ÀÖ½À´Ï´Ù. ÀÌ ½Ã³ÊÁö È¿°ú´Â ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸® ¹× ÀÚµ¿ ½ºÄÉÀϸµÀ» °¡´ÉÇÏ°Ô ÇÏ°í ¼º´É°ú ¸®¼Ò½º Ȱ¿ëÀ» ÃÖÀûÈ­ÇÕ´Ï´Ù. ¶ÇÇÑ ¼­¹ö¸®½º ÄÄÇ»ÆÃÀ» ºí·ÏüÀÎ ±â¼ú°ú ÅëÇÕÇÏ¿© º¸¾È°ú Åõ¸í¼ºÀ» ³ôÀÏ ¼ö ÀÖ½À´Ï´Ù.

µ¥ÀÌÅÍ º¸¾È¿¡ ´ëÇÑ ¿ì·Á

½ÃÀåÀÇ µ¥ÀÌÅÍ º¸¾È¿¡ ´ëÇÑ ¿ì·Á´Â Á¶Á÷¿¡ ½É°¢ÇÑ À§ÇèÀ» ÃÊ·¡ÇÕ´Ï´Ù. Ã¥ÀÓ°øÀ¯ ¸ðµ¨Àº ´©°¡ ±â¹Ð µ¥ÀÌÅÍ º¸È£¸¦ Ã¥ÀÓÁú °ÍÀΰ¡¸¦ µÑ·¯½Ñ È¥¶õÀ¸·Î À̾îÁú ¼ö ÀÖ¾î Ä§ÇØ °¡´É¼ºÀÌ ³ô¾ÆÁý´Ï´Ù. ¶ÇÇÑ, Ÿ»ç °ø±Þ¾÷ü¿¡ ÀÇÁ¸ÇÔÀ¸·Î½á, ¶ÇÇÑ º¸¾È ¹®Á¦°¡ ¹ß»ýÇÏ¸é ±â¾÷ÀÌ Ãë¾àÁ¡¿¡ ³ëÃâµÉ ¼ö ÀÖ½À´Ï´Ù. °Ô´Ù°¡ ¼­¹ö¸®½º ȯ°æÀÇ µ¿ÀûÀÎ ¼ºÁúÀº, °¨½Ã¿Í ÄÄÇø®¾ð½ºÀÇ ´ëó¸¦ º¹ÀâÇÏ°Ô ÇØ, µ¥ÀÌÅÍÀÇ ¿ÏÀü¼ºÀ» È®º¸ÇØ ¹«´Ü ¾×¼¼½º·ÎºÎÅÍ º¸È£ÇϱⰡ ¾î·Æ½À´Ï´Ù.

COVID-19ÀÇ ¿µÇâ :

COVID-19ÀÇ ´ëÀ¯ÇàÀº Á¶Á÷ÀÌ ¿ø°Ý ±Ù¹«°ú µðÁöÅÐ ¼­ºñ½º¸¦ Áö¿øÇÏ´Â À¯¿¬Çϰí È®Àå °¡´ÉÇÑ ¼Ö·ç¼ÇÀ» ¿ä±¸Ç߱⠶§¹®¿¡ ¼­¹ö¸®½º ÄÄÇ»ÆÃÀÇ Ã¤¿ëÀ» °¡¼ÓÈ­Çß½À´Ï´Ù. ¿Â¶óÀÎ ¾ÖÇø®ÄÉÀ̼ǰú ¼­ºñ½º¿¡ ´ëÇÑ ¼ö¿ä°¡ ³ô¾ÆÁö´Â °¡¿îµ¥, ±â¾÷Àº ¹Îø¼ºÀ» ³ôÀÌ°í ¿î¿µ ºñ¿ëÀ» ÁÙÀ̱â À§ÇØ ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¿¡ ÁÖ¸ñÇß½À´Ï´Ù. ÀÌ ½ÃÇÁÆ®´Â »õ·Î¿î ±â´ÉÀ» ½Å¼ÓÇÏ°Ô ¹èÆ÷ÇÏ°í ºÒÈ®½ÇÇÑ ½Ã´ëÀÇ Åº·Â¼ºÀ» Çâ»ó½ÃÄ×½À´Ï´Ù. ±× °á°ú ¼­¹ö¸®½º ÄÄÇ»ÆÃÀº Æ÷½ºÆ® ÆÒµ¥¹Í¿¡¼­ µðÁöÅÐ Æ®·£½ºÆ÷¸ÞÀÌ¼Ç ÀÌ´Ï¼ÅÆ¼ºêÀÇ ÁÖ¿ä ½ÇÇö ¿ä¼Ò·Î¼­ °¢±¤À» ¹Þ°Ô µÇ¾ú½À´Ï´Ù.

¿¹Ãø ±â°£ µ¿¾È À̺¥Æ® Á᫐ ÄÄÇ»ÆÃ ºÎ¹®ÀÌ ÃÖ´ë¶ó°í ¿¹»óµË´Ï´Ù.

À̺¥Æ® Á᫐ ÄÄÇ»ÆÃ ºÎ¹®Àº ½Ç½Ã°£ À̺¥Æ®¿¡ µ¿ÀûÀ¸·Î ÀÀ´äÇÏ´Â ¾ÖÇø®ÄÉÀ̼ÇÀ» °¡´ÉÇÏ°Ô ÇÏ¸ç ¿¹Ãø ±â°£ µ¿¾È ÃÖ´ë ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸ðµ¨À» ÅëÇØ °³¹ßÀÚ´Â »ç¿ëÀÚ Á¶ÀÛ ¹× ½Ã½ºÅÛ º¯°æ µî, ƯÁ¤ÀÇ À̺¥Æ®¸¦ ±â¹ÝÀ¸·Î ±â´ÉÀ» Æ®¸®°ÅÇÒ ¼ö Àֱ⠶§¹®¿¡ ÀÚ¿øÀÇ È¿À²ÀûÀÎ ÀÌ¿ë°ú ºñ¿ë Àý°¨ÀÌ °¡´ÉÇÕ´Ï´Ù. ¶ÇÇÑ ÀÌ Á¢±Ù ¹æ½ÄÀº Çõ½ÅÀ» ÃËÁøÇÏ°í ÆÀÀº ÀÎÇÁ¶ó °ü¸®¸¦ °­È­ÇÏÁö ¾Ê°íµµ »õ·Î¿î ±â´ÉÀ» ½Å¼ÓÇÏ°Ô ¹Ýº¹Çϰí Àü°³ÇÒ ¼ö ÀÖ½À´Ï´Ù.

¿¹Ãø ±â°£ µ¿¾È ¸ð¹ÙÀÏ ¹é¿£µå ºÎ¹®ÀÇ CAGRÀÌ °¡Àå ³ôÀ» °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¸ð¹ÙÀÏ ¹é¿£µå ºÎ¹®Àº ¿¹Ãø ±â°£ µ¿¾È CAGRÀÌ °¡Àå ³ôÀ» °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¸¦ Ȱ¿ëÇÏ¸é °³¹ßÀÚ´Â »ç¿ëÀÚ ºÎÇÏ º¯È­¿¡ ¸ÂÃç ÀÚµ¿À¸·Î ½ºÄÉÀϸµÇϸ鼭 ±â´É ±¸Ãà¿¡ ÁýÁßÇÒ ¼ö ÀÖ½À´Ï´Ù. À̸¦ ÅëÇØ °³¹ß ¼Óµµ¸¦ ³ôÀÌ°í ºñ¿ëÀ» Àý°¨ÇÏ¿© ¸ð¹ÙÀÏ ¾ÖÇø®ÄÉÀ̼ÇÀ» ½Å¼ÓÇÏ°Ô ¹èÆ÷ÇÒ ¼ö ÀÖ½À´Ï´Ù. ³ª¾Æ°¡ ¼­µåÆÄƼ ¼­ºñ½º¿ÍÀÇ ¿øÈ°ÇÑ ÅëÇÕÀ¸·Î µ¥ÀÌÅÍ °ü¸®°¡ °£¼ÒÈ­µÇ°í ¸ð¹ÙÀÏ ¾ÖÇø®ÄÉÀÌ¼Ç »ç¿ëÀÚ °æÇèÀÌ Çâ»óµË´Ï´Ù.

ÃÖ´ë Á¡À¯À²À» Â÷ÁöÇÏ´Â Áö¿ª:

¿¹Ãø ±â°£ µ¿¾È ºÏ¹Ì°¡ °¡Àå Å« ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÁÖ¿ä ±â¾÷µéÀº ¾ÖÇø®ÄÉÀÌ¼Ç °³¹ß°ú µðÇ÷ÎÀÌÀÇ È¿À²¼ºÀ» ³ôÀ̱â À§ÇØ ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¸¦ äÅÃÇϰí ÀÖÀ¸¸ç, ¹Îø¼º°ú Çõ½Å¼º Çâ»óÀ¸·Î À̾îÁö°í ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀº µðÁöÅÐ Æ®·£½ºÆ÷¸ÞÀ̼ÇÀ» °­ÇÏ°Ô Áß½ÃÇϰí ÀÖ¾î Ŭ¶ó¿ìµå ÀÎÇÁ¶óÀÇ Áøº¸¿Í ¸Â¹°·Á ¼­¹ö¸®½º ±â¼úÀÇ Ã¤¿ëÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ±â¾÷ÀÌ ¿î¿µÀÇ ÃÖÀûÈ­¸¦ Ãß±¸ÇÏ´Â °¡¿îµ¥ ºÏ¹Ì´Â ¼¼°è ¼­¹ö¸®½º ·£µå½ºÄÉÀÌÇÁÀÇ Áß¿äÇÑ ±â¾÷À¸·Î ³²¾Æ ÀÖ½À´Ï´Ù.

CAGRÀÌ °¡Àå ³ôÀº Áö¿ª :

¿¹Ãø ±â°£ µ¿¾È ¾Æ½Ã¾ÆÅÂÆò¾çÀÌ °¡Àå ³ôÀº ¼ºÀå·üÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀÇ º¸±ÞÀÌ ÁøÇàµÇ°í Àֱ⠶§¹®¿¡ ¹°¸®Àû ¼­¹öÀÇ °ü¸®¿¡ ºÎ´ãÀ» ÁÖÁö ¾Ê°í ¾÷¹«ÀÇ È¿À²È­¸¦ µµ¸ðÇÏ°í ½ÍÀº ±â¾÷¿¡ À־, ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³´Â ¸Å·ÂÀûÀÎ ¼±ÅÃÀÌ µÇ°í ÀÖ½À´Ï´Ù. Áß±¹, Àεµ, ÀϺ» µî ±¹°¡¿¡¼­ µðÁöÅÐ ±â¼úÀÇ ±Þ¼ÓÇÑ Áøº¸°¡ ±â¾÷ÀÌ ¼­¹ö¸®½º ¾ÆÅ°ÅØÃ³¸¦ Æ÷ÇÔÇÑ Å¬¶ó¿ìµå ±â¹Ý ¼Ö·ç¼ÇÀ» äÅÃÇϵµ·Ï Ã˱¸Çϰí ÀÖ½À´Ï´Ù.

¹«·á »ç¿ëÀÚ Á¤ÀÇ ¼­ºñ½º :

ÀÌ º¸°í¼­¸¦ ±¸µ¶ÇÏ´Â °í°´¿¡°Ô´Â ´ÙÀ½ ¹«·á ¸ÂÃã¼³Á¤ ¿É¼Ç Áß Çϳª¸¦ Á¦°øÇÕ´Ï´Ù.

  • ±â¾÷ ÇÁ·ÎÆÄÀÏ
    • Ãß°¡ ½ÃÀå ±â¾÷ÀÇ Á¾ÇÕÀû ÇÁ·ÎÆÄÀϸµ(3°³»ç±îÁö)
    • ÁÖ¿ä ±â¾÷ÀÇ SWOT ºÐ¼®(3°³»ç±îÁö)
  • Áö¿ª ¼¼ºÐÈ­
    • °í°´ÀÇ °ü½É¿¡ ÀÀÇÑ ÁÖ¿ä±¹ ½ÃÀå Ãß°è, ¿¹Ãø ¹× CAGR(ÁÖ : Ÿ´ç¼º È®Àο¡ µû¸§)
  • °æÀï º¥Ä¡¸¶Å·
    • Á¦Ç° Æ÷Æ®Æú¸®¿À, Áö¸®Àû Á¸Àç, Àü·«Àû Á¦ÈÞ¿¡ ±â¹ÝÇÑ ÁÖ¿ä ±â¾÷ º¥Ä¡¸¶Å·

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ¼­¹®

  • °³¿ä
  • ÀÌÇØ°ü°èÀÚ
  • Á¶»ç ¹üÀ§
  • Á¶»ç ¹æ¹ý
    • µ¥ÀÌÅÍ ¸¶ÀÌ´×
    • µ¥ÀÌÅÍ ºÐ¼®
    • µ¥ÀÌÅÍ °ËÁõ
    • Á¶»ç Á¢±Ù
  • Á¶»ç Á¤º¸¿ø
    • 1Â÷ Á¶»ç Á¤º¸¿ø
    • 2Â÷ Á¶»ç Á¤º¸¿ø
    • ÀüÁ¦Á¶°Ç

Á¦3Àå ½ÃÀå µ¿Ç⠺м®

  • ¼ºÀå ÃËÁø¿äÀÎ
  • ¾ïÁ¦¿äÀÎ
  • ±âȸ
  • À§Çù
  • ¿ëµµ ºÐ¼®
  • ÃÖÁ¾ »ç¿ëÀÚ ºÐ¼®
  • ½ÅÈï ½ÃÀå
  • COVID-19ÀÇ ¿µÇâ

Á¦4Àå Porter's Five Forces ºÐ¼®

  • °ø±Þ±â¾÷ÀÇ Çù»ó·Â
  • ±¸¸ÅÀÚÀÇ Çù»ó·Â
  • ´ëüǰÀÇ À§Çù
  • ½Å±Ô Âü°¡¾÷üÀÇ À§Çù
  • °æÀï ±â¾÷°£ °æÀï °ü°è

Á¦5Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : ¼­ºñ½º À¯Çüº°

  • Function as a Service(FaaS)
  • Backend as a Service(BaaS)
  • ¼­¹ö¸®½º ÄÁÅ×À̳Ê

Á¦6Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : ÀÌ¿ë À¯Çüº°

  • À̺¥Æ® ±¸µ¿Çü ÄÄÇ»ÆÃ
  • ¸¶ÀÌÅ©·Î¼­ºñ½º ¾ÆÅ°ÅØÃ³
  • À¥ ¿ëµµ

Á¦7Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : Àü°³ ¸ðµ¨º°

  • ÆÛºí¸¯ Ŭ¶ó¿ìµå
  • ÇÁ¶óÀ̺ø Ŭ¶ó¿ìµå
  • ÇÏÀ̺긮µå Ŭ¶ó¿ìµå

Á¦8Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : ±â¾÷ ±Ô¸ðº°

  • Áß¼Ò±â¾÷
  • ´ë±â¾÷

Á¦9Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : ¿ëµµº°

  • À¥ ¹× ¸ð¹ÙÀÏ ¾Û
  • IoT
  • ºòµ¥ÀÌÅÍ
  • ¸Ó½Å·¯´×
  • ¸ð¹ÙÀÏ ¹é¿£µå
  • ¹Ìµð¾î ó¸®
  • ±âŸ ¿ëµµ

Á¦10Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : ÃÖÁ¾ »ç¿ëÀÚº°

  • IT ¹× Åë½Å
  • ¼Ò¸Å¾÷ ¹× ÀüÀÚ»ó°Å·¡
  • ÀºÇà, ±ÝÀ¶¼­ºñ½º ¹× º¸Çè(BFSI)
  • ÇコÄɾî
  • ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ±³À°
  • ±âŸ ÃÖÁ¾ »ç¿ëÀÚ

Á¦11Àå ¼¼°èÀÇ ¼­¹ö¸®½º ÄÄÇ»ÆÃ ½ÃÀå : Áö¿ªº°

  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
    • ¸ß½ÃÄÚ
  • À¯·´
    • µ¶ÀÏ
    • ¿µ±¹
    • ÀÌÅ»¸®¾Æ
    • ÇÁ¶û½º
    • ½ºÆäÀÎ
    • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • ÀϺ»
    • Áß±¹
    • Àεµ
    • È£ÁÖ
    • ´ºÁú·£µå
    • Çѱ¹
    • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ³²¹Ì
    • ¾Æ¸£ÇîÆ¼³ª
    • ºê¶óÁú
    • Ä¥·¹
    • ±âŸ ³²¹Ì
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
    • īŸ¸£
    • ³²¾ÆÇÁ¸®Ä«
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦12Àå ÁÖ¿ä ¹ßÀü

  • °è¾à, ÆÄÆ®³Ê½Ê, Çù¾÷ ¹× ÇÕÀÛÅõÀÚ(JV)
  • Àμö ¹× ÇÕº´
  • ½ÅÁ¦Ç° ¹ß¸Å
  • »ç¾÷ È®´ë
  • ±âŸ ÁÖ¿ä Àü·«

Á¦13Àå ±â¾÷ ÇÁ·ÎÆÄÀϸµ

  • Amazon Web Services(AWS)
  • Microsoft Azure
  • Google Cloud Platform
  • IBM Cloud
  • Oracle Cloud
  • Cloudflare
  • Firebase
  • VMware Inc.
  • Zappa
  • Twilio
  • Alibaba Cloud
  • Supabase
  • Mongodb Atlas
  • Redis Labs
  • Pivotal
AJY 24.11.18

According to Stratistics MRC, the Global Serverless Computing Market is accounted for $14.7 billion in 2024 and is expected to reach $48.5 billion by 2030 growing at a CAGR of 22.0% during the forecast period. Serverless computing is a cloud computing execution model that allows developers to build and run applications without managing server infrastructure. In this model, the cloud provider dynamically allocates resources, automatically scaling and managing the execution of functions as needed. Developers focus solely on writing code, while the provider handles tasks like provisioning, scaling, and maintenance. This approach enables cost efficiency, as users pay only for the compute resources consumed during execution, making it ideal for applications with variable workloads.

According to a recent survey by SaltStack, a Utah-based provider of intelligent IT automation software, even though two-thirds of organizations have more than 10% of their applications containerized, 40% of the organizations still need to be concerned that their container strategy needs to invest in security adequately.

Market Dynamics:

Driver:

Digital transformation initiatives

Digital transformation initiatives in the market are driving innovation by enabling organizations to build and deploy applications without the complexity of managing infrastructure. This shift allows businesses to scale operations seamlessly, reduce costs, and accelerate time-to-market. By leveraging serverless architectures, companies can focus on core functionalities and enhance agility, resulting in improved customer experiences and greater operational efficiency.

Restraint:

Loss of control over infrastructure

The loss of control over infrastructure in the market can lead to significant challenges for organizations. This diminished oversight may result in security vulnerabilities, as third-party providers manage critical components. Additionally, reliance on external services can complicate compliance with regulatory standards and hinder troubleshooting efforts. Moreover, unexpected changes in vendor policies or performance issues can disrupt business operations, leading to decreased reliability.

Opportunity:

Integration with emerging technologies

Integration with emerging technologies in the market is enhancing capabilities and driving innovation. By combining serverless architectures with artificial intelligence, machine learning, and IoT, organizations can create more responsive and intelligent applications. This synergy allows for real-time data processing and automated scaling, optimizing performance and resource usage. Additionally, integrating serverless computing with blockchain technology can enhance security and transparency.

Threat:

Data security concerns

Data security concerns in the market pose significant risks for organizations. The shared responsibility model can lead to confusion over who is accountable for securing sensitive data, increasing the potential for breaches. Additionally, reliance on third-party providers can expose businesses to vulnerabilities if those vendors experience security lapses. Furthermore, the dynamic nature of serverless environments complicates monitoring and compliance efforts, making it challenging to ensure data integrity and protect against unauthorized access.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of serverless computing as organizations sought flexible, scalable solutions to support remote work and digital services. With increased demand for online applications and services, businesses turned to serverless architectures to enhance agility and reduce operational costs. This shift enabled rapid deployment of new features and improved resilience during uncertain times. As a result, serverless computing has gained prominence as a key enabler of digital transformation initiatives in the post-pandemic landscape.

The event-driven computing segment is projected to be the largest during the forecast period

The event-driven computing segment is projected to account for the largest market share during the projection period enabling applications to respond dynamically to real-time events. This model allows developers to trigger functions based on specific events, such as user actions or system changes, resulting in efficient resource utilization and cost savings. This approach also fosters innovation, as teams can rapidly iterate and deploy new features without heavy infrastructure management.

The mobile backend segment is expected to have the highest CAGR during the forecast period

The mobile backend segment is expected to have the highest CAGR during the extrapolated period. By leveraging serverless architectures, developers can focus on building features while automatically scaling to accommodate varying user loads. This approach enhances development speed and reduces costs, enabling quicker deployment of mobile applications. Furthermore, seamless integration with third-party services simplifies data management and enhances user experiences in mobile applications.

Region with largest share:

North America region is projected to account for the largest market share during the forecast period. Major tech companies are adopting serverless architectures to enhance application development and deployment efficiency, leading to improved agility and innovation. The region's strong emphasis on digital transformation, coupled with advancements in cloud infrastructure, is fostering the adoption of serverless technologies. As businesses seek to optimize operations, North America remains a key player in the global serverless landscape.

Region with highest CAGR:

Asia Pacific is expected to register the highest growth rate over the forecast period. The increasing penetration of cloud computing is making serverless architecture an attractive option for companies looking to streamline operations without the burden of managing physical servers. Rapid advancements in digital technologies across countries like China, India, and Japan are pushing businesses to adopt cloud-based solutions, including serverless architecture.

Key players in the market

Some of the key players in Serverless Computing market include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, IBM Cloud, Oracle Cloud, Cloudflare, Firebase, VMware Inc., Zappa, Twilio , Alibaba Cloud, Supabase, Mongodb Atlas, Redis Labs and Pivotal.

Key Developments:

In May 2024, Google Cloud and MongoDB collaborated to enhance Gemini Code Assist, improving code suggestions for MongoDB users. This collaboration helps developers rapidly prototype and modernize applications by offering better insights and updates for MongoDB code and best practices.

In March 2024, Cloudflare launched defensive AI, a tailored security solution designed to protect organizations against AI-driven threats. Defensive AI leverages unique traffic patterns to offer personalized defenses, safeguarding critical applications and networks from evolving risks as AI-enhanced attacks become more sophisticated.

Service Types Covered:

  • Function as a Service (FaaS)
  • Backend as a Service (BaaS)
  • Serverless Containers

Usage Types Covered:

  • Event-driven Computing
  • Microservices Architecture
  • Web Applications

Deployment Models Covered:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Enterprise Sizes Covered:

  • Small and Medium-Sized Enterprises (SMEs)
  • Large Enterprises

Applications Covered:

  • Web and Mobile Apps
  • IoT
  • Big Data
  • Machine Learning
  • Mobile Backend
  • Media Processing
  • Other Applications

End Users Covered:

  • IT and Telecom
  • Retail and E-commerce
  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Media and Entertainment
  • Education
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Serverless Computing Market, By Service Type

  • 5.1 Introduction
  • 5.2 Function as a Service (FaaS)
  • 5.3 Backend as a Service (BaaS)
  • 5.4 Serverless Containers

6 Global Serverless Computing Market, By Usage Type

  • 6.1 Introduction
  • 6.2 Event-driven Computing
  • 6.3 Microservices Architecture
  • 6.4 Web Applications

7 Global Serverless Computing Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 Public Cloud
  • 7.3 Private Cloud
  • 7.4 Hybrid Cloud

8 Global Serverless Computing Market, By Enterprise Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Enterprises (SMEs)
  • 8.3 Large Enterprises

9 Global Serverless Computing Market, By Application

  • 9.1 Introduction
  • 9.2 Web and Mobile Apps
  • 9.3 IoT
  • 9.4 Big Data
  • 9.5 Machine Learning
  • 9.6 Mobile Backend
  • 9.7 Media Processing
  • 9.8 Other Applications

10 Global Serverless Computing Market, By End User

  • 10.1 Introduction
  • 10.2 IT and Telecom
  • 10.3 Retail and E-commerce
  • 10.4 Banking, Financial Services, and Insurance (BFSI)
  • 10.5 Healthcare
  • 10.6 Media and Entertainment
  • 10.7 Education
  • 10.8 Other End Users

11 Global Serverless Computing Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Amazon Web Services (AWS)
  • 13.2 Microsoft Azure
  • 13.3 Google Cloud Platform
  • 13.4 IBM Cloud
  • 13.5 Oracle Cloud
  • 13.6 Cloudflare
  • 13.7 Firebase
  • 13.8 VMware Inc.
  • 13.9 Zappa
  • 13.10 Twilio
  • 13.11 Alibaba Cloud
  • 13.12 Supabase
  • 13.13 Mongodb Atlas
  • 13.14 Redis Labs
  • 13.15 Pivotal
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦