½ÃÀ庸°í¼­
»óÇ°ÄÚµå
1308692

ºÐ»êÇü Ŭ¶ó¿ìµå ½ÃÀå ¿¹Ãø(-2030³â) : ¼­ºñ½º À¯Çüº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº° ¼¼°è ºÐ¼®

Distributed Cloud Market Forecasts to 2030 - Global Analysis By Service Type (Autonomy, Data Security, Networking, Data Storage and Other Service Types), Application, End User and By Geography

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Stratistics Market Research Consulting | ÆäÀÌÁö Á¤º¸: ¿µ¹® 175+ Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



¡Ø º» »óÇ°Àº ¿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 ºÐ»êÇü Ŭ¶ó¿ìµå ½ÃÀåÀº 2023³â¿¡ 53¾ï ´Þ·¯¸¦ Â÷ÁöÇÏ°í ¿¹Ãø ±â°£ Áß CAGRÀº 22.8%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 224¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ°í ÀÖ½À´Ï´Ù.

'ºÐ»êÇü Ŭ¶ó¿ìµå'´Â ¿©·¯ °÷¿¡ ºÐ»êµÇ¾î ÀúÀå ¹× °ü¸®µÇ´Â µ¥ÀÌÅÍ¿Í ¿ëµµÀÌ ÇϳªÀÇ Å¬¶ó¿ìµå Ç÷§Æû·Î ¿¬°áµÇ´Â Ŭ¶ó¿ìµå Æз¯´ÙÀÓÀ» ¸»ÇÕ´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå¿¡¼­ ³×Æ®¿öÅ·, ó¸® ¹× ½ºÅ丮Áö´Â ¸ÞÀΠŬ¶ó¿ìµå·Î ¿¬°áµÇÁö ¾ÊÀº ¼Ò±Ô¸ð Ŭ¶ó¿ìµå¿¡ ¹èÄ¡µË´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå ½Ã½ºÅÛ¿¡¼­ ºÐ»êÇü Ŭ¶ó¿ìµå´Â ÃÖÁ¾»ç¿ëÀÚ¿Í °¡±î¿î °÷¿¡ ¹èÄ¡µË´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå Àü·«À» ÅëÇØ ±â¾÷Àº ´ë±â ½Ã°£, ³×Æ®¿öÅ© È¥Àâ, µ¥ÀÌÅÍ À¯Ãâ À§ÇèÀ» ÁÙÀÏ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ :

ÃËÁø¿äÀÎ

»ç¿ëÀÚ °æÇè Çâ»ó¿¡ ´ëÇÑ °­Á¶

±â¾÷Àº Á¤È®ÇÏ°í, °ü·Ã µ¥ÀÌÅÍ¿¡ ±â¹ÝÇÏ°í, ÀÏ°ü¼º ÀÖ°í, Âü½ÅÇÏ°í âÀÇÀûÀÎ Á¢±Ù ¹æ½Ä¿¡ ÁýÁßÇÔÀ¸·Î½á »ç¿ëÀÚ °æÇèÀ» Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå ÄÄÇ»Æà ¼Ö·ç¼ÇÀ» ÅëÇØ ±â¾÷Àº °í°´ÀÇ Àå±âÀûÀÎ ¿ä±¸¿¡ ¸Â´Â À¯¿¬ÇÑ ¼­ºñ½º¸¦ Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ¾÷±×·¹À̵åµÈ Ŭ¶ó¿ìµå ¼­ºñ½º¸¦ ÅëÇØ ±â¾÷Àº °í°´ÀÇ ÃëÇâ¿¡ ´ëÀÀÇÏ´Â ¹æ½ÄÀ» °³¼±ÇÏ°í ¿øÈ°ÇÑ ¼­ºñ½º¸¦ Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ°ÍÀÌ ½ÃÀå È®´ë¸¦ ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀÔ´Ï´Ù.

¾ïÁ¦¿äÀÎ

ºÐ»êÇü Ŭ¶ó¿ìµå ¾ÆÅ°ÅØóÀÇ µµÀÔ

°¢ Ŭ¶ó¿ìµå ¼­ºñ½º ÇÁ·Î¹ÙÀÌ´õ¸¶´Ù ¾ÆÅ°ÅØó°¡ ´Ù¸£°í, Á¶Á÷ÀÇ ÇÁ¶óÀ̺ø Ŭ¶ó¿ìµå ¹èÆ÷ ¹× ¿§Áö ÄÄÇ»Æà ¼³°è¿¡ °íÀ¯ÇÑ ¿ä±¸»çÇ×ÀÌ ÀÖÀ¸¹Ç·Î ºÐ»êÇü Ŭ¶ó¿ìµå ¾ÆÅ°ÅØó¸¦ ¼³°èÇÏ°í ±¸ÇöÇÏ´Â °ÍÀº ¾î·Á¿î ÀÏÀÔ´Ï´Ù. ³×Æ®¿öÅ© Áö¿ø ¹× º¸¾È Á¦¾î¸¦ Á¦°øÇϱâ À§ÇØ IT Á¶Á÷ÀÌ °áÇÕÇØ¾ß ÇÕ´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå ÄÄÇ»Æðú ¾ÛÀÇ È®»êÀ¸·Î IT ±â¾÷ÀÌ ºÐ»êÇü Ŭ¶ó¿ìµå ¾ÆÅ°ÅØó¸¦ ¼¼°è¿¡ ÅëÇÕÇÏ´Â °ÍÀº ´õ¿í ¾î·Á¿öÁú °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

±âȸ:

5G ³×Æ®¿öÅ©ÀÇ ¹ßÀü

¿§Áö ÄÄÇ»Æðú Ŭ¶ó¿ìµå ÄÄÇ»Æà ¸ðµ¨Àº ºÐ»êÇü Ŭ¶ó¿ìµå ¾ÆÅ°ÅØó¸¦ Á¦°øÇÏ´Â µ¥ »ç¿ëµÇ¸ç, ¿§Áö À§Ä¡´Â ¿ÂÇÁ·¹¹Ì½º, ¿ø°Ý À§Ä¡, ±âÁö±¹ ¹× ¹°¸®Àû À§Ä¡¸¦ ¿¬°áÇÏ´Â ³×Æ®¿öÅ© ¿ªÇÒÀ» ÇÕ´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå »çÀÌÆ®°¡ È®ÀåµÊ¿¡ µû¶ó ¼­ºñ½º ÇÁ·Î¹ÙÀÌ´õ¿Í ±â¾÷ÀÌ °ü¸®ÇÏ´Â ¿©·¯ °³ÀÇ ¼Ò±Ô¸ð µ¥ÀÌÅͼ¾ÅÍ°¡ ÇÊ¿äÇÏ°Ô µË´Ï´Ù. µû¶ó¼­ ´Ù¾çÇÑ Áö¿ªÀû À§Ä¡¿¡¼­ ºÐ»êÇü Ŭ¶ó¿ìµå ¾ÆÅ°ÅØóÀÇ Ã¤ÅÃÀº 5GÀÇ ¿µÇâÀ» Å©°Ô ¹ÞÀ» °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

À§Çù

³·Àº ´ë¿ªÆø°ú ¼º´ÉÀÇ ÆíÂ÷

Ŭ¶ó¿ìµå ȯ°æ¿¡¼­ÀÇ ¿î¿µ¿¡´Â ¼º´É º¯µ¿À¸·Î ÀÎÇÑ »õ·Î¿î °úÁ¦°¡ ÀÖ½À´Ï´Ù. ¿©·¯ ¾ÛÀÌ ÇϳªÀÇ ¼­¹ö¿¡¼­ µ¿½Ã¿¡ ½ÇÇàµÇ±â ¶§¹®¿¡ °øÀ¯ ¸®¼Ò½º·Î ÀÎÇØ ¼º´ÉÀÌ ÀúÇ쵃 ¼ö ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ¼­ºñ½º ÇÁ·Î¹ÙÀÌ´õ¿¡ ÀÇÇØ ´ë¿ªÆøÀÌ Á¦ÇѵǾî ÀÖ´Â °æ¿ì¿¡µµ ¼º´ÉÀÌ ÀúÇ쵃 ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ÇÒ´ç·®À» ÃÊ°úÇÒ °æ¿ì ºñ½Ñ Ãß°¡ ¿ä±ÝÀ» ÁöºÒÇØ¾ß ÇÕ´Ï´Ù. µû¶ó¼­ ÀÌ´Â ½ÃÀå È®´ë¸¦ ÀúÇØÇÏ´Â ¿äÀÎÀÔ´Ï´Ù.

COVID-19ÀÇ ¿µÇâ:

ºÐ»êÇü Ŭ¶ó¿ìµå ºÐ¾ß´Â ÆÒµ¥¹ÍÀÇ ÇýÅÃÀ» ´©¸®°í ÀÖ½À´Ï´Ù. °¡»ó ÀÛ¾÷ÀÇ Å¬¶ó¿ìµå °ü¸®´Â Ŭ¶ó¿ìµå ¼­ºñ½ºÀÇ ºÐ»êÇü Ư¼ºÀ¸·Î ÀÎÇØ ÀÚ¿¬½º·´°Ô ÀÏÄ¡ÇÕ´Ï´Ù. ±â¾÷¿¡°Ô Ŭ¶ó¿ìµå ¼­ºñ½º´Â ÀÌÁ¦ º¸´Ù ¾ÈÁ¤ÀûÀÌ°í ¾ÈÀüÇÑ ¿ø°Ý ±Ù¹«¸¦ º¸ÀåÇÏ°í ÀÖ½À´Ï´Ù. ¿©Çà Á¦ÇÑ°ú Áúº´ °¨¿°ÀÇ À§Çè°ú ÇÔ²² ¼¼°è °æÁ¦ ½Ã½ºÅÛµµ ÁøÈ­ÇÏ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ °æÁ¦Àû º¯È­·Î ÀÎÇØ Å¬¶ó¿ìµå ÄÄÇ»ÆÃÀº Çö´ë ±â¾÷ ¿î¿µÀÇ Ç¥ÁØ ¿ä¼Ò°¡ µÇ¾ú½À´Ï´Ù.

¿¹Ãø ±â°£ Áß µ¥ÀÌÅÍ ½ºÅ丮Áö ºÎ¹®ÀÌ °¡Àå Å« ºñÁßÀ» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»ó

µ¥ÀÌÅÍ ÀúÀå ºÐ¾ß´Â ±â·ÏÀÇ µðÁöÅÐÈ­°¡ ºü¸£°Ô ÁøÇàµÊ¿¡ µû¶ó À¯¸®ÇÑ ¼ºÀå¼¼¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå´Â »ç¿ëÀÚÀÇ µ¥ÀÌÅ͸¦ ³×Æ®¿öÅ©¿¡ ºÐ»ê½ÃÄÑ ÃÖÁ¾»ç¿ëÀÚ´ç¿¡ µ¥ÀÌÅ͸¦ ¹èÄ¡ÇÒ ¼ö ÀÖÀ¸¸ç, Àü¼Û ¼Óµµ°¡ »¡¶óÁö°í ³×Æ®¿öÅ© È¥Àâ°ú µ¥ÀÌÅÍ À¯Ãâ À§ÇèÀ» ÃÖ¼ÒÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ ºÐ»êÇü Ŭ¶ó¿ìµå´Â Áß¾Ó ÁýÁᫎ µ¥ÀÌÅͼ¾Åͳª ¼­¹ö¿ë °í°¡ÀÇ ³Ã°¢ ½Ã½ºÅÛÀÌ ÇÊ¿äÇÏÁö ¾Ê±â ¶§¹®¿¡ º¸´Ù ģȯ°æÀûÀÎ ½ºÅ丮Áö ¼±ÅÃÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ºÐ»êÇü Ŭ¶ó¿ìµåÀÇ Æ¯¼ºÀ¸·Î ÀÎÇØ µ¥ÀÌÅÍ ½ºÅ丮Áö·Î È°¿ëµµ°¡ ´õ¿í ³ô¾ÆÁú °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¿¹Ãø±â°£ Áß °¡Àå ³ôÀº CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ºÎ¹®Àº BFSI ºÎ¹®

¿¹Ãø ±â°£ Áß °¡Àå ºü¸¥ CAGRÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµÇ´Â ºÎ¹®Àº BFSI ºÎ¹®ÀÔ´Ï´Ù. ºÐ»êÇü Ŭ¶ó¿ìµå´Â ÀºÇà ÀýÂ÷¸¦ °£¼ÒÈ­ÇÏ°í ¼ö¸¹Àº °Å·¡¸¦ ½Å¼ÓÇÏ°Ô °ËÅäÇÒ ¼ö ÀÖÀ¸¸ç, ±ÝÀ¶ ¹üÁ˸¦ ¿¹¹æÇÏ°í ¼ÒºñÀÚ ¸¸Á·µµ¸¦ ³ôÀÌ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ±ÝÀ¶±â°üµéÀº °í°´¿¡°Ô ´õ ³ªÀº ¼­ºñ½º¸¦ Á¦°øÇϱâ À§ÇØ ºÐ»êÇü Ŭ¶ó¿ìµåÀÇ »ç¿ë ºóµµ¸¦ ³ôÀÌ°í ÀÖ½À´Ï´Ù. »ç¹°ÀÎÅͳÝ(IoT)Àº ´ë·®ÀÇ µ¥ÀÌÅ͸¦ ºÐ¼®ÇÏ´Â µ¥ ÀÚÁÖ »ç¿ëµÇ°í ÀÖÀ¸¸ç, ±â¹Ð Á¤º¸¸¦ ÀúÀåÇϱâ À§ÇÑ È®Àå °¡´ÉÇÏ°í ¹ÎøÇÑ ½Ã½ºÅÛ ¹× ºñ¿ë È¿À²ÀûÀΠŬ¶ó¿ìµå ÄÄÇ»Æà ¼­ºñ½º¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÏ°í ÀÖ½À´Ï´Ù.

°¡Àå Å« Á¡À¯À²À» Â÷ÁöÇÏ´Â Áö¿ª

ºÏ¹Ì´Â Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ, »ç¹°ÀÎÅͳÝ(IoT) ¹× ±âŸ ±â¼úÀÇ »ç¿ëÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ¿¹Ãø ±â°£ Áß °¡Àå Å« ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ½ÃÀåÀ» ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀº µðÁöÅÐÈ­, ¼ö¸¹Àº Á¶Á÷ÀÇ Á¸Àç, µ¥ÀÌÅÍ º¸¾È, µ¥ÀÌÅÍ ¹é¾÷ ¹× µ¥ÀÌÅÍ º¹±¸ÀÔ´Ï´Ù. ¶ÇÇÑ »ê¾÷ ÀÚµ¿È­, ½Å¼ÓÇÑ ¹®ÀǸ¦ À§ÇÑ °í°´ ¼­ºñ½º °³¼±°ú °°Àº ´Ù¸¥ ¿äÀε鵵 ¾÷°è¸¦ ÁÖµµÇÏ°í ÀÖ½À´Ï´Ù.

CAGRÀÌ °¡Àå ³ôÀº Áö¿ª :

¾Æ½Ã¾ÆÅÂÆò¾çÀº ¿¹Ãø ±â°£ Áß °¡Àå ³ôÀº CAGRÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ´Â ºñ¿ë È¿À²ÀûÀÎ ºÐ»êÇü Ŭ¶ó¿ìµåÀÇ Ã¤Åðú °³¹ßµµ»ó±¹ÀÇ µðÁöÅÐ ÀÎÇÁ¶ó È®´ë¿¡ ±âÀÎÇÕ´Ï´Ù. µµ½ÃÈ­, ±â¼ú Çõ½Å, Á¤ºÎÀÇ µðÁöÅÐ °æÁ¦¿¡ ´ëÇÑ Áö¿øÀº ÀÌ Áö¿ªÀÇ ±â¼ú ¼ºÀåÀ» °¡¼ÓÇÏ´Â Áß¿äÇÑ ¿äÀÎÀÔ´Ï´Ù. Á¦Á¶¾÷üµéÀÇ »ç¿ë°ú ÀνÄÀÌ ³ô¾ÆÁü¿¡ µû¶ó ÀÌ Áö¿ª ½ÃÀåÀÇ ¸ÅÃâ ¼ºÀåÀÌ ´õ¿í ÃËÁøµÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

ÁÖ¿ä ¹ßÀü :

Áö³­ 7¿ù, ±¸±Û Ŭ¶ó¿ìµå´Â µ¶ÀÏ Åë½Å»ç µµÀÌÄ¡Åë½Å°ú Á¦ÈÞ¸¦ ¸Î¾ú½À´Ï´Ù. ¾ç»ç´Â À̹ø Á¦ÈÞ¸¦ ÅëÇØ µ¶ÀÏ Åë½ÅÀÇ ³×Æ®¿öÅ© ¿§Áö¿¡ ÀÖ´Â ¸ð¹ÙÀÏ ±â±â ¹× Ä¿³ØƼµå ±â±â¿¡ Ŭ¶ó¿ìµåÀÇ ÈûÀ» ´õ °¡±îÀÌ °¡Á®¿Í Åë½Å »ê¾÷ÀÇ °øµ¿ ·Îµå¸ÊÀ» °áÁ¤Çϱâ·Î Çß½À´Ï´Ù.

2022³â 2¿ù, ¸¶ÀÌÅ©·Î¼ÒÇÁÆ®´Â Ŭ¶ó¿ìµå ±â¹Ý ¼ÒÇÁÆ®¿þ¾îÀÇ ¼±µÎ ¾÷üÀÎ ÀÎÅÇ(Intapp)°ú Á¦ÈÞ¸¦ ¸Î¾ú½À´Ï´Ù. À̹ø Á¦ÈÞ¸¦ ÅëÇØ IntappÀº Microsoft Azure ±â¹Ý »ê¾÷ Ŭ¶ó¿ìµå¿¡¼­ Microsoft 365¿Í °°Àº Microsoft ±â¼ú°ú IntappÀÇ ¿ëµµÀÌ ±ä¹ÐÇÏ°Ô ÅëÇÕµÈ Ä¿³ØƼµå ºñÁî´Ï½º ¹× °Å·¡ °ü¸® ¼Ö·ç¼ÇÀ» Á¦°øÇÏ°Ô µË´Ï´Ù. Á¦°øÇÏ´Â °ÍÀÔ´Ï´Ù.

2021³â 10¿ù, ±¸±ÛÀº AWSÀÇ ¾Æ¿ôÆ÷½ºÆ® ¼Ö·ç¼Ç¿¡ ´ëÀÀÇϱâ À§ÇØ »õ·Î¿î ¿§Áö ¹× ¿ÂÇÁ·¹¹Ì½º Ŭ¶ó¿ìµå Á¦Ç°±ºÀ» ¹ßÇ¥Çß½À´Ï´Ù. ±¸±Û ºÐ»êÇü Ŭ¶ó¿ìµå·Î ¾Ë·ÁÁø ÀÌ Á¦Ç°Àº ±¸±ÛÀÇ ÀÎÇÁ¶ó¸¦ ¿§Áö¿Í ¿ÂÇÁ·¹¹Ì½º µ¥ÀÌÅͼ¾ÅÍ·Î È®ÀåÇÒ ¼ö ÀÖµµ·Ï ¼³°èµÈ Çϵå¿þ¾î¿Í ¼ÒÇÁÆ®¿þ¾î·Î ±¸¼ºµÇ¾î ÀÖ½À´Ï´Ù.

º¸°í¼­ ³»¿ë

  • Áö¿ª ¹× ±¹°¡º° ½ÃÀå Á¡À¯À² Æò°¡
  • ½Å±Ô ÁøÀÔ±â¾÷¿¡ ´ëÇÑ Àü·«Àû Á¦¾È
  • 2021³â, 2022³â, 2023³â, 2026³â, 2030³â ½ÃÀå µ¥ÀÌÅ͸¦ ´Ù·ì´Ï´Ù.
  • ½ÃÀå µ¿Çâ(½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ, ÀúÇØ¿äÀÎ, ±âȸ, À§Çù, °úÁ¦, ÅõÀÚ ±âȸ, ±ÇÀå»çÇ×)
  • ½ÃÀå ÃßÁ¤¿¡ ±â¹ÝÇÑ ÁÖ¿ä »ç¾÷ ºÎ¹®¿¡ ´ëÇÑ Àü·«Àû Á¦¾È
  • ÁÖ¿ä ÀϹÝÀû Æ®·»µå¸¦ ¸ÅÇÎÇÑ °æÀï ±¸µµ
  • »ó¼¼ÇÑ Àü·«, À繫 ¹× ÃÖ±Ù µ¿ÇâÀ» Æ÷ÇÔÇÑ ±â¾÷ °³¿ä
  • ÃֽŠ±â¼ú µ¿ÇâÀ» ¸ÅÇÎÇÑ °ø±Þ¸Á Æ®·»µå

¹«·á Ä¿½ºÅ͸¶ÀÌÁ¦ÀÌ¼Ç ¼­ºñ½º :

ÀÌ º¸°í¼­¸¦ ±¸µ¶ÇÏ´Â °í°´¿¡°Ô´Â ´ÙÀ½ Áß ÇϳªÀÇ ¹«·á Ä¿½ºÅ͸¶ÀÌÁ¦ÀÌ¼Ç ¿É¼ÇÀ» Á¦°øÇÕ´Ï´Ù.

  • ±â¾÷ °³¿ä
    • Ãß°¡ ½ÃÀå ±â¾÷ÀÇ Á¾ÇÕÀû ÇÁ·ÎÆÄÀϸµ(3»ç±îÁö)
    • ÁÖ¿ä ±â¾÷ÀÇ SWOT ºÐ¼®(3»ç±îÁö)
  • Áö¿ª ¼¼ºÐÈ­
    • °í°´ÀÇ °ü½É¿¡ µû¸¥ ÁÖ¿ä ±¹°¡º° ½ÃÀå ÃßÁ¤ ¹× ¿¹Ãø, CAGR(ÁÖ : ½ÇÇö °¡´É¼º üũ¿¡ µû¸§)
  • °æÀï º¥Ä¡¸¶Å·
    • Á¦Ç° Æ÷Æ®Æú¸®¿À, Áö¿ªÀû ÀÔÁö, Àü·«Àû Á¦ÈÞ¿¡ ±â¹ÝÇÑ ÁÖ¿ä ±â¾÷ÀÇ 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 ¾îÇÁ·ÎÄ¡
  • Á¶»ç ¼Ò½º

Á¦3Àå ½ÃÀå µ¿Ç⠺м®

  • ÃËÁø¿äÀÎ
  • ¾ïÁ¦¿äÀÎ
  • ±âȸ
  • À§Çù
  • ¾ÖÇø®ÄÉÀÌ¼Ç ºÐ¼®
  • ÃÖÁ¾»ç¿ëÀÚ ºÐ¼®
  • ½ÅÈï ½ÃÀå
  • ½ÅÁ¾ Äڷγª¹ÙÀÌ·¯½º °¨¿°Áõ(COVID-19)ÀÇ ¿µÇâ

Á¦4Àå Porters Five Force ºÐ¼®

  • °ø±Þ ±â¾÷ÀÇ ±³¼··Â
  • ±¸¸ÅÀÚÀÇ ±³¼··Â
  • ´ëüǰÀÇ À§Çù
  • ½Å±Ô ÁøÃâ¾÷üÀÇ À§Çù
  • °æÀï ±â¾÷°£ °æÀï °ü°è

Á¦5Àå ¼¼°èÀÇ ºÐ»êÇü Ŭ¶ó¿ìµå ½ÃÀå : ¼­ºñ½º À¯Çüº°

  • ÀÚÀ²¼º
  • µ¥ÀÌÅÍ º¸¾È
  • ³×Æ®¿öÅ·
  • µ¥ÀÌÅÍ ½ºÅ丮Áö
  • ±âŸ ¼­ºñ½º À¯Çü

Á¦6Àå ¼¼°èÀÇ ºÐ»êÇü Ŭ¶ó¿ìµå ½ÃÀå : ¿ëµµº°

  • »ç¹°ÀÎÅͳÝ
  • ÄÁÅÙÃ÷ Àü¼Û
  • ¿§Áö ÄÄÇ»ÆÃ
  • ±âŸ ¿ëµµ

Á¦7Àå ¼¼°èÀÇ ºÐ»êÇü Ŭ¶ó¿ìµå ½ÃÀå : ÃÖÁ¾»ç¿ëÀÚº°

  • ¿¡³ÊÁö¿Í À¯Æ¿¸®Æ¼
  • BFSI
  • ¼Ò¸Å ¹× ¼ÒºñÀç
  • IT & Åë½Å
  • Á¦Á¶¾÷
  • ¹Ìµð¾î¿Í ¿£ÅÍÅ×ÀθÕÆ®
  • Á¤ºÎ
  • ÇコÄɾî¿Í »ý¸í°úÇÐ
  • ±âŸ ÃÖÁ¾»ç¿ëÀÚ

Á¦8Àå ¼¼°èÀÇ ºÐ»êÇü Ŭ¶ó¿ìµå 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¸£ÇîƼ³ª
    • ºê¶óÁú
    • Ä¥·¹
    • ±âŸ ³²¹Ì
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ¾Æ¶ø¿¡¹Ì¸®Æ®
    • īŸ¸£
    • ³²¾ÆÇÁ¸®Ä«°øÈ­±¹
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦9Àå ÁÖ¿ä ¹ßÀü

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

Á¦10Àå ȸ»ç °³¿ä

  • Amazon web services
  • Microsoft Corporation
  • Cloud Sigma Inc.
  • Pivotal Inc
  • Salesforces Inc.
  • IBM Corporation
  • Digital Ocean Inc
  • Google LLC
  • Oracle Corporation
  • Teradata Corporation
  • F5 Networks, Inc.
  • VMware, Inc.
  • Alibaba Group Holding Limited
  • Pluribus Networks
  • SAP SE
  • Verizon Communications Inc.
  • Axway Software
KSA 23.08.08

According to Stratistics MRC, the Global Distributed Cloud Market is accounted for $5.3 billion in 2023 and is expected to reach $22.4 billion by 2030 growing at a CAGR of 22.8% during the forecast period. The term "distributed cloud" refers to a cloud paradigm in which data and applications stored and managed across several locations are connected to a single cloud platform. In a dispersed cloud, networking, processing, and storage are located in smaller clouds that are not connected to the main cloud. The distributed cloud is located nearer to the end user in a distributed cloud system. Using a dispersed cloud strategy, organisations can lower latency, network congestion, and the risk of data loss.

Market Dynamics:

Driver:

Increasing emphasis on improving user experiences

Businesses can improve user experiences by concentrating on fresh, creative approaches that are accurate, supported by relevant data, and consistent. Distributed cloud computing solutions give companies the flexibility to tailor their offerings to their clients' long-term needs. With this upgraded version of cloud services, companies may improve how they respond to customer preferences and provide seamless services. This is the main driver boosting the market's expansion.

Restraint:

Implementing distributed cloud architecture

Because each cloud service provider has a different architecture and because an organization's private cloud deployments and edge computing designs have specific requirements, designing and implementing distributed cloud architecture is difficult. IaaS skills must be combined by IT organisations in order to provide security, visibility, and control over dedicated network support and security. The spread of distributed cloud computing and apps will make it difficult for IT companies to integrate distributed cloud architecture globally.

Opportunity:

Development in 5G network

Edge computing and cloud computing models are used to provide distributed cloud architecture, where the edge locations serve as a network connecting on-premises, remote locations, base stations, and physical locations. There will be a need for several small data centres maintained by service providers and businesses due to the expansion of distributed cloud sites. Therefore, the adoption of distributed cloud architecture in various geographical locations would be significantly influenced by 5G.

Threat:

Low bandwidth and performance variations

Operating in a cloud environment presents additional challenges due to performance fluctuations. Since several apps are operating simultaneously on one server, there is a potential that their performance would suffer due to the shared resources. When bandwidth is restricted by cloud service providers, performance may also suffer. A corporation must pay an additional fee, which can be expensive, if it exceeds its quota. Therefore, this is the element impeding market expansion.

COVID-19 Impact:

The distributed cloud sector has benefited from the pandemic. Cloud management of virtual work is a natural match due to the distributed nature of cloud services. For business enterprises, the cloud services now guarantee more trustworthy and secure distant operations. Along with travel limitations and the risks posed by disease transmission, the global economic system is also evolving. This economic shift has led to cloud computing becoming a standard component of modern company operations.

The data storage segment is expected to be the largest during the forecast period:

The data storage segment is estimated to have a lucrative growth, due to the fast digitization of records. The distributed cloud disperses users' data over a network, enabling data to be located nearer to end users and increasing transfer speed, minimising network congestion and the risk of data loss. Additionally, distributed clouds are a more environmentally friendly storage alternative because they do not require centralised data centres or expensive cooling systems for servers. These characteristics of distributed clouds are therefore anticipated to support their growing use for data storage.

The BFSI segment is expected to have the highest CAGR during the forecast period:

The BFSI segment is anticipated to witness the fastest CAGR growth during the forecast period. The distributed cloud is excellent for streamlining banking procedures and quickly reviewing numerous transactions, which helps the industry prevent financial crimes and enhance consumer satisfaction. In order to better serve their customers, financial institutions are using distributed clouds more and more frequently. The Internet of Things (IoT) is being used more often to analyse massive data volumes, and there is an increasing demand for scalable & agile systems for storing confidential information as well as cost-effective cloud computing services.

Region with Largest share:

North America is projected to hold the largest market share during the forecast period owing to rising use of cloud computing, internet of things (IOT), and other technologies. The key factors driving the market are digitization, the existence of a sizable number of organisations, data security, data backup, and data recovery. The industry is also being driven ahead by other factors such as industrial automation, improved customer service for quicker inquiries, and others.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period, owing to adoption of distributed cloud for cost-effectiveness and expansion of digital infrastructure in developing countries. Rising levels of urbanisation, technical innovation, and backing from the government for the digital economy are important drivers of technological growth in the region. By increasing usage and awareness among manufacturers, it is anticipated that revenue growth in the regional market will be further boosted.

Key players in the market

Some of the key players profiled in the Distributed Cloud Market include Amazon web services, Microsoft Corporation, Cloud Sigma Inc., Pivotal Inc, Salesforces Inc., IBM Corporation, Digital Ocean Inc, Google LLC, Oracle Corporation, Teradata Corporation, F5 Networks, Inc., VMware, Inc., Alibaba Group Holding Limited, Pluribus Networks, SAP SE, Verizon Communications Inc. and Axway Software.

Key Developments:

In July 2022, Google cloud came into a partnership with Deutsche Telekom, a German telecommunications business. Through this partnership, companies aimed to determine a joint roadmap for the telecommunications industry by obtaining the power of the cloud closer to mobile and connected devices at the edge of Deutsche Telekom's network.

In February 2022, Microsoft came into a partnership with Intapp, a leading provider of cloud-based software. Through this partnership, Intapp would provide connected business and deal management solutions on a Microsoft Azure-based industry cloud with in-depth integrations between Microsoft technologies, such as Microsoft 365, and Intapp applications.

In October 2021, Google launched a new suite of Edge and on-premise cloud products to rival the likes of AWS Outpost solutions, known as Google Distributed Cloud, consisting of hardware and software designed to extend Google's infrastructure both to the Edge and into on-premise data centers.

Service Types Covered:

  • Autonomy
  • Data Security
  • Networking
  • Data Storage
  • Other Service Types

Applications Covered:

  • Internet of Things
  • Content Delivery
  • Edge Computing
  • Other Applications

End Users Covered:

  • Energy & Utilities
  • BFSI
  • Retail & Consumer Goods
  • IT & Telecom
  • Manufacturing
  • Media & Entertainment
  • Government
  • Healthcare & Life Sciences
  • 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 2021, 2022, 2023, 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 Distributed Cloud Market, By Service Type

  • 5.1 Introduction
  • 5.2 Autonomy
  • 5.3 Data Security
  • 5.4 Networking
  • 5.5 Data Storage
  • 5.6 Other Service Types

6 Global Distributed Cloud Market, By Application

  • 6.1 Introduction
  • 6.2 Internet of Things
  • 6.3 Content Delivery
  • 6.4 Edge Computing
  • 6.5 Other Applications

7 Global Distributed Cloud Market, By End User

  • 7.1 Introduction
  • 7.2 Energy & Utilities
  • 7.3 BFSI
  • 7.4 Retail & Consumer Goods
  • 7.5 IT & Telecom
  • 7.6 Manufacturing
  • 7.7 Media & Entertainment
  • 7.8 Government
  • 7.9 Healthcare & Life Sciences
  • 7.10 Other End Users

8 Global Distributed Cloud Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Amazon web services
  • 10.2 Microsoft Corporation
  • 10.3 Cloud Sigma Inc.
  • 10.4 Pivotal Inc
  • 10.5 Salesforces Inc.
  • 10.6 IBM Corporation
  • 10.7 Digital Ocean Inc
  • 10.8 Google LLC
  • 10.9 Oracle Corporation
  • 10.10 Teradata Corporation
  • 10.11 F5 Networks, Inc.
  • 10.12 VMware, Inc.
  • 10.13 Alibaba Group Holding Limited
  • 10.14 Pluribus Networks
  • 10.15 SAP SE
  • 10.16 Verizon Communications Inc.
  • 10.17 Axway Software
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óÇ°À» ¼±Åà Áß
»óÇ° ºñ±³Çϱâ
Àüü»èÁ¦