BDaaS(Big Data as a Service) ½ÃÀå : ¼¼°è »ê¾÷ ±Ô¸ð, µ¿Çâ, ±âȸ, ¿¹Ãø(2018-2028³â) - ¼Ö·ç¼Ç À¯Çüº°, µµÀÔ ¸ðµ¨º°, Á¶Á÷ ±Ô¸ðº°, ¾÷°èº°, Áö¿ªº°, °æÀﺰ
Big Data as a Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F - By Solution Type, By Deployment Model, By Organization Size, and By Industry Vertical, and By Region and Competition
»óǰÄÚµå : 1370830
¸®¼­Ä¡»ç : TechSci Research
¹ßÇàÀÏ : 2023³â 10¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 190 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,500 £Ü 6,511,000
Unprintable PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠺Ұ¡´ÉÇϸç, ÅØ½ºÆ®ÀÇ Copy&Pasteµµ ºÒ°¡´ÉÇÕ´Ï´Ù.
US $ 5,500 £Ü 7,957,000
PDF and Excel (Multi-User License) help
PDF ¹× Excel º¸°í¼­¸¦ ±â¾÷ÀÇ ÆÀÀ̳ª ±â°ü¿¡¼­ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ¹× Excel ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 8,000 £Ü 11,575,000
PDF and Excel (Custom Research License) help
PDF ¹× Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ¹× Excel ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù. 80½Ã°£ÀÇ ¾Ö³Î¸®½ºÆ® ŸÀÓÀÌ Æ÷ÇԵǾî ÀÖ°í Copy & Paste °¡´ÉÇÑ PPT ¹öÀüµµ Á¦°øµË´Ï´Ù. ªÀº Bespoke ¸®¼­Ä¡ ÇÁ·ÎÁ§Æ® ¼öÇà¿¡ ¸Â´Â ¶óÀ̼±½ºÀÔ´Ï´Ù.


¤± Add-on °¡´É: °í°´ÀÇ ¿äû¿¡ µû¶ó ÀÏÁ¤ÇÑ ¹üÀ§ ³»¿¡¼­ CustomizationÀÌ °¡´ÉÇÕ´Ï´Ù. ÀÚ¼¼ÇÑ »çÇ×Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

Çѱ۸ñÂ÷

¼¼°èÀÇ BDaaS(Big Data as a Service) ½ÃÀåÀº ¿¹Ãø ±â°£ Áß ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

´ë±â¾÷ÀÇ Å¬¶ó¿ìµå ±â¹Ý °í±Þ ºÐ¼® µµÀÔ Áõ°¡¿Í E-Commerce Ç÷§Æû Áõ°¡´Â ¼­ºñ½ºÇü ºòµ¥ÀÌÅÍ ¼¼°è ½ÃÀå ¼ºÀåÀÇ ÁÖ¿ä ¿øµ¿·ÂÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅÍ¿¡¼­ Á¤º¸¸¦ ÀúÀå, Æò°¡, ¼öÁý, ½Ã°¢È­, ¿¹ÃøÇÒ ¼ö ÀÖ´Â ±â¼úÀûÀ¸·Î Á¤±³ÇÑ ºòµ¥ÀÌÅÍ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖÀ¸¸ç, Á¶Á÷¿¡¼­ ¿ì¼öÇÑ µ¥ÀÌÅÍ Ç°ÁúÀ» º¸ÀåÇϰí ä³ÎÈ­µÈ µ¥ÀÌÅÍ È帧À» Á¦°øÇØ¾ß ÇÒ Çʿ伺ÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ±â¹Ý µ¥ÀÌÅÍ ºÐ¼® ¼Ö·ç¼ÇÀÇ »ç¿ëÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ¼­ºñ½ºÇü ºòµ¥ÀÌÅÍ ¼¼°è ½ÃÀåÀº ÇâÈÄ ¼ö³â°£ ºü¸£°Ô ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

µ¥ÀÌÅÍ·®°ú Á¾·ùÀÇ Áõ°¡°¡ ½ÃÀå ¼ºÀåÀ» ÃËÁø

½ÃÀå °³¿ä
¿¹Ãø ±â°£ 2024-2028
½ÃÀå ±Ô¸ð 215¾ï 2,000¸¸ ´Þ·¯
2028³â ½ÃÀå ±Ô¸ð 1,328¾ï 4,000¸¸ ´Þ·¯
CAGR 2023-2028 35.41%
±Þ¼ºÀå ºÎ¹® ÇÏÀ̺긮µå Ŭ¶ó¿ìµå
ÃÖ´ë ½ÃÀå ºÏ¹Ì

BDaaS ¹®¸Æ¿¡¼­ µ¥ÀÌÅÍÀÇ ¾ç°ú À¯Çü Áõ°¡´Â ´Ù¾çÇÑ ¼Ò½º¿¡¼­ »ý¼ºµÇ´Â µ¥ÀÌÅÍÀÇ ±Þ°ÝÇÑ ¼ºÀå°ú ´Ù¾çÇÑ ¼º°ÝÀ» ÀǹÌÇÕ´Ï´Ù. ÀÌ·¯ÇÑ µ¥ÀÌÅÍ ±ÞÁõÀº ºñÁî´Ï½ºÀÇ µðÁöÅÐ Çõ½Å, Ä¿³ØÆ¼µå µð¹ÙÀ̽ºÀÇ º¸±Þ, ¿Â¶óÀÎ ¼­ºñ½ºÀÇ È®»ê µîÀÇ ¿äÀÎÀ¸·Î ÀÎÇØ ¹ß»ýÇÕ´Ï´Ù.

µ¥ÀÌÅÍÀÇ ¾çÀº Àü·Ê ¾ø´Â ¼öÁØ¿¡ À̸£·¶°í, Á¶Á÷Àº ¹æ´ëÇÑ ¾çÀÇ Á¤Çü ¹× ºñÁ¤Çü µ¥ÀÌÅ͸¦ ÃàÀûÇϰí ÀÖ½À´Ï´Ù. ¿©±â¿¡´Â °í°´°úÀÇ »óÈ£ ÀÛ¿ë, °Å·¡ ±â·Ï, ¼Ò¼È¹Ìµð¾î °Ô½Ã¹°, ¼¾¼­ µ¥ÀÌÅÍ, ·Î±× ÆÄÀÏ µîÀÌ Æ÷ÇԵ˴ϴÙ. µ¿½Ã¿¡ µ¥ÀÌÅÍ À¯Çüµµ ÅØ½ºÆ®, À̹ÌÁö, À½¼º, µ¿¿µ»ó, ½Ç½Ã°£ ½ºÆ®¸®¹Ö µ¥ÀÌÅÍ µî ´Ù¾çÇÑ ÇüÅ·ΠȮ´ëµÇ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ BDaaS ÇÁ·Î¹ÙÀÌ´õ´Â ÀÌ·¯ÇÑ ¹æ´ëÇÏ°í ´Ù¾çÇÑ µ¥ÀÌÅ͸¦ °ü¸®ÇÏ°í °¡Ä¡¸¦ âÃâÇÏ´Â µ¥ Áß¿äÇÑ ¿ªÇÒÀ» Çϰí ÀÖÀ¸¸ç, BDaaS ÇÁ·Î¹ÙÀÌ´õ´Â È®Àå °¡´ÉÇÑ ÀÎÇÁ¶ó, ½ºÅ丮Áö, ó¸® ¹× ºÐ¼® ±â´ÉÀ» Á¦°øÇÏ¿© ´Ã¾î³ª´Â µ¥ÀÌÅÍ ¾çÀ» ÃæÁ·½Ãų ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. ±â¾÷Àº µ¥ÀÌÅ͸¦ È¿À²ÀûÀ¸·Î ÀúÀå ¹× Ã³¸®Çϰí, º¹ÀâÇÑ ºÐ¼®À» ¼öÇàÇϰí, ½ÇÇà °¡´ÉÇÑ ÀλçÀÌÆ®¸¦ µµÃâÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ¹æ´ëÇÏ°í ´Ù¾çÇÑ µ¥ÀÌÅ͸¦ È¿°úÀûÀ¸·Î ó¸®ÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» ÅëÇØ ºñÁî´Ï½º, °í°´, ½ÃÀå µ¿ÇâÀ» Á¾ÇÕÀûÀ¸·Î ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. µ¥ÀÌÅͺ£À̽º ÀÇ»ç°áÁ¤, ÇÁ·Î¼¼½º ÃÖÀûÈ­, °í°´ °æÇè °³¼±, »õ·Î¿î ºñÁî´Ï½º ±âȸ ¹ß±¼, Çõ½Å ÃßÁøÀÌ °¡´ÉÇØÁý´Ï´Ù.

BDaaS ±â¾÷Àº ´Ã¾î³ª´Â µ¥ÀÌÅÍ ¾ç°ú ´Ù¾ç¼º¿¡ ´ëÀÀÇϱâ À§ÇØ Áö¼ÓÀûÀ¸·Î Ç÷§ÆûÀ» ÁøÈ­½Ã۰í ÀÖ½À´Ï´Ù. ¸Ó½Å·¯´×, ½Ç½Ã°£ ºÐ¼®°ú °°Àº ÷´Ü ±â¼úÀ» ÅëÇÕÇÏ¿© µ¥ÀÌÅÍ¿¡¼­ °¡Ä¡ ÀÖ´Â ÀλçÀÌÆ®¸¦ µµÃâÇϰí ÀÖ½À´Ï´Ù. À̸¦ ÅëÇØ ±â¾÷Àº ºòµ¥ÀÌÅÍÀÇ ÀáÀç·ÂÀ» ÃÖ´ëÇÑ È°¿ëÇϰí Àü·«Àû ¿ìÀ§¸¦ È®º¸ÇÏ¿© µ¥ÀÌÅÍ Á᫐ ¼¼»ó¿¡¼­ °æÀï·ÂÀ» À¯ÁöÇÒ ¼ö ÀÖ½À´Ï´Ù.

´ë±â¾÷ÀÇ Å¬¶ó¿ìµå ±â¹Ý °í±Þ ºÐ¼® µµÀÔ Áõ°¡·Î ¼ºÀå °ßÀÎ

Ŭ¶ó¿ìµå ±â¹ÝÀÇ °í±Þ ºÐ¼®¿¡ ±â¹ÝÇÑ ºòµ¥ÀÌÅÍ ±â¼ú ¼­ºñ½º °³¹ßÀº ¼¼°è ºòµ¥ÀÌÅÍ ¾÷°èÀÇ ÁÖ¿ä ±â¾÷ÀÌ °¡Àå ÁßÁ¡À» µÎ°í ÀÖ´Â ºÎºÐÀÔ´Ï´Ù. ¸Ó½Å·¯´×, ½Ã°¢È­, µ¥ÀÌÅÍ/ÅØ½ºÆ® ¸¶ÀÌ´×, ¿¹Ãø, °¨Á¤/½Ã¸Çƽ ºÐ¼®, ´Ùº¯·® Åë°è, ³×Æ®¿öÅ©/Ŭ·¯½ºÅÍ ºÐ¼®, ±×·¡ÇÁ ºÐ¼®, º¹ÇÕ À̺¥Æ® ó¸® µîÀÇ ¿ëµµ´Â ¸ðµÎ Ŭ¶ó¿ìµå ±â¹Ý °í±Þ ºÐ¼®¿¡ Æ÷ÇԵ˴ϴÙ. Á¶Á÷ÀÇ À¥»çÀÌÆ®¿Í °ü·Ã µ¥ÀÌÅÍ ¶óÀ̺귯¸®´Â °í±Þ ºÐ¼® ÅøÀ» ÅëÇØ ¾ÇÀÇÀûÀÎ »çÀ̹ö °ø°Ý°ú ¾ÈÀüÇÏÁö ¾ÊÀº ½ºÅ©¸³Æ®·ÎºÎÅÍ ´õ¿í ¾ÈÀüÇÏ°Ô º¸È£ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÏ·Ê·Î 2019³â 6¿ù, ¿À¶óŬ°ú ¸¶ÀÌÅ©·Î¼ÒÇÁÆ®´Â ¸¶ÀÌÅ©·Î¼ÒÇÁÆ® ¾ÖÀú Ŭ¶ó¿ìµå¿Í ¿À¶óŬ Ŭ¶ó¿ìµå¸¦ ÅëÇØ Á¦°øµÇ´Â °í±Þ ºÐ¼®À» ÅëÇØ »ç¿ëÀÚ°¡ ¹Ì¼Ç Å©¸®Æ¼ÄÃÇÑ ºñÁî´Ï½º¸¦ ¿î¿µÇÏ°í ½ÇÇàÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇϱâ À§ÇØ Çù·ÂÇß½À´Ï´Ù.¸¦ Áö¿øÇϱâ À§ÇØ ÆÄÆ®³Ê½ÊÀ» ü°áÇß½À´Ï´Ù. À̹ø Á¦ÈÞ´Â ÇâÈÄ ¼ö³â°£ BDaaS ÇÁ·Î¹ÙÀÌ´õµéÀÇ Æø³ÐÀº Àü¸ÁÀ» Áö¿øÇÒ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù.

E-Commerce Ç÷§Æû Áõ°¡°¡ ¼ºÀåÀ» ÃËÁø

¼¼°è¿¡¼­ Ä¿³ØÆ¼µå µð¹ÙÀ̽º Áõ°¡´Â ¼¼°è ¼­ºñ½ºÇü ºòµ¥ÀÌÅÍ ½ÃÀåÀÇ ¼ºÀåÀ» °¡¼ÓÇÏ´Â ÁÖ¿ä ¿äÀÎ Áß ÇϳªÀÔ´Ï´Ù. Ä¿³ØÆ¼µå µð¹ÙÀ̽º´Â Á¤ºÎ, ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ®, ¼Ò¸Å, ÀºÇà/±ÝÀ¶¼­ºñ½º/º¸Çè(BFSI), Á¦Á¶ µî ´Ù¾çÇÑ ÃÖÁ¾»ç¿ëÀÚ »ê¾÷ÀÇ »ó¾÷ ¹× »ý»ê ¾÷¹«¿¡ Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù. »ç¹°ÀÎÅͳÝ(IoT) »ýŰ迡´Â ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅ͸¦ »ý¼ºÇÏ´Â Ä¿³ØÆ¼µå °¡Á¬ÀÌ Æ÷ÇԵ˴ϴÙ. µ¥ÀÌÅÍ/ÅØ½ºÆ® ¸¶ÀÌ´×, º¹ÇÕ À̺¥Æ® ó¸®, ´Ùº¯·® Åë°è, ½Å°æ¸Á µî ¼ö¸¹Àº ºÐ¼® ¿ëµµÀÌ ¼öÁý ¹× ÀúÀåµÈ µ¥ÀÌÅ͸¦ Ȱ¿ëÇϰí ÀÖÀ¸¸ç, 2018³â 5¿ù¿¡ ¹ßÇ¥µÈ Forbes Media LLC. µ¥ÀÌÅͰ¡ »ý¼ºµÇ°í ÀÖ½À´Ï´Ù. ¿¬°áµÈ ±â±âÀÇ º¸±ÞÀ¸·Î BDaaS¿¡ ´ëÇÑ ¼ö¿ä´Â ¿¹Ãø ±â°£ Áß Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

º¸¾È Ä§ÇØ Áõ°¡¿Í ¼÷·ÃµÈ Àü¹®°¡ ºÎÁ·ÀÌ ½ÃÀå ¼ºÀå¿¡ °É¸²µ¹·Î ÀÛ¿ë

BDaaS´Â ¿£µå-Åõ-¿£µå ¼Ö·ç¼Ç, Çâ»óµÈ ½ºÅ丮Áö, Ãë±Þ ¿ëÀ̼º µî ´Ù¾çÇÑ ÀÌÁ¡À» Á¦°øÇÏÁö¸¸, ¼Ö·ç¼Ç¿¡´Â ¸î °¡Áö Á¦¾àÀÌ ÀÖ½À´Ï´Ù. º¸¾È °áÇÔ, ¹èÆ÷ ¹× Á¶ÀÛ¼º ¹®Á¦, Àü¹® Àη ºÎÁ· µîÀÌ ÁÖ¿ä ½ÃÀå Á¦¾à ¿äÀÎÀ¸·Î ²ÅÈü´Ï´Ù. ¶ÇÇÑ º¹ÀâÇÑ BDaaS¸¦ ¸¸µå´Â ¼÷·ÃµÈ ÀηÂÀ» ã°í À¯ÁöÇÏ´Â °Íµµ ¼ºÀåÀ» °¡·Î¸·´Â À庮ÀÌ µÇ°í ÀÖ½À´Ï´Ù.

BDaaS Ç÷§Æû¿¡ ÀúÀå ¹× Ã³¸®µÇ´Â µ¥ÀÌÅÍÀÇ ¾ç°ú °¡Ä¡°¡ Áõ°¡ÇÔ¿¡ µû¶ó º¸¾È Ä§ÇØÀÇ À§Çèµµ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. »çÀ̹ö ¹üÁËÀÚµéÀº Ãë¾àÁ¡À» ¾Ç¿ëÇÏ¿© ±â¹Ð µ¥ÀÌÅÍ¿¡ ¹«´ÜÀ¸·Î Á¢±ÙÇÏ´Â ±â¹ýÀ» Áö¼ÓÀûÀ¸·Î ¹ßÀü½Ã۰í ÀÖÀ¸¸ç, BDaaS Ç÷§ÆûÀÇ º¸¾È Ä§ÇØ´Â ±ÝÀüÀû ¼Õ½Ç, ÆòÆÇ ¼Õ»ó, ¹ýÀû Ã¥ÀÓ µî ½É°¢ÇÑ °á°ú¸¦ ÃÊ·¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ä§ÇØ´Â BDaaS ÇÁ·Î¹ÙÀÌ´õ¿¡ ´ëÇÑ °í°´ÀÇ ½Å·Ú¿Í ¹ÏÀ½À» ÈѼÕÇÏ°í ½ÃÀå ¼ºÀåÀ» ÀúÇØÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ¹®Á¦¸¦ ¿ÏÈ­Çϱâ À§ÇØ BDaaS ÇÁ·Î¹ÙÀÌ´õ´Â µ¥ÀÌÅÍ º¸¾ÈÀ» ÃÖ¿ì¼± °úÁ¦·Î »ï°í °­·ÂÇÑ º¸¾È Á¶Ä¡¸¦ ÃëÇØ¾ß ÇÕ´Ï´Ù. ¿©±â¿¡´Â °­·ÂÇÑ ¾Ïȣȭ ±â¼ú, ¾×¼¼½º Á¦¾î ¹× ÀÎÁõ ¸ÞÄ¿´ÏÁòÀÇ µµÀÔÀÌ Æ÷ÇԵ˴ϴÙ. Á¤±âÀûÀÎ º¸¾È °¨»ç, Ãë¾àÁ¡ Æò°¡, »ç°í ´ëÀÀ °èȹÀº ÀáÀçÀûÀÎ À§ÇùÀ» ½Äº°ÇÏ°í ¼±Á¦ÀûÀ¸·Î ´ëÀÀÇϱâ À§ÇØ ¸Å¿ì Áß¿äÇÕ´Ï´Ù.

ÀÌ·¯ÇÑ °úÁ¦¸¦ ±Øº¹ÇÏ´Â °ÍÀº ¼­ºñ½ºÇü ºòµ¥ÀÌÅÍ ½ÃÀåÀÇ Áö¼ÓÀûÀÎ ¼ºÀåÀ» À§ÇØ ¸Å¿ì Áß¿äÇϸç, BDaaS ÇÁ·Î¹ÙÀÌ´õ´Â µ¥ÀÌÅÍ º¸¾È¿¡ ´ëÇÑ °­ÇÑ ÀÇÁö¸¦ º¸¿©ÁÖ°í, ÃÖ÷´Ü º¸¾È ±â¼ú¿¡ ÅõÀÚÇϰí, ÀÎÀç À°¼º ±¸»ó¿¡ Àû±ØÀûÀ¸·Î Âü¿©ÇØ¾ß ÇÕ´Ï´Ù. ÇØ¾ß ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ °úÁ¦¸¦ ÇØ°áÇÔÀ¸·Î½á ¼¼°è ¼­ºñ½ºÇü ºòµ¥ÀÌÅÍ ½ÃÀåÀº °í°´ÀÇ ½Å·Ú¸¦ ±¸ÃàÇϰí, µµÀÔÀ» °¡¼ÓÈ­Çϸç, »ê¾÷À» ¸··ÐÇϰí Á¶Á÷ÀÇ ºòµ¥ÀÌÅÍ ºÐ¼®ÀÇ ÀáÀç·ÂÀ» ±Ø´ëÈ­ÇÒ ¼ö ÀÖ½À´Ï´Ù.

Á¶»ç ¹üÀ§ :

¼¼°èÀÇ BDaaS(Big Data as a Service) ½ÃÀåÀ» ¾Æ·¡ »ó¼úÇÏ´Â ¾÷°è µ¿Çâ°ú ÇÔ²² ÀÌÇÏ Ä«Å×°í¸®·Î ºÐ·ùÇϰí ÀÖ½À´Ï´Ù.

BDaaS(Big Data as a Service) ½ÃÀå, ¼Ö·ç¼Ç À¯Çüº°

BDaaS(Big Data as a Service) ½ÃÀå : µµÀÔ ¸ðµ¨º°

BDaaS(Big Data as a Service) ½ÃÀå : Á¶Á÷ ±Ô¸ðº°

BDaaS(Big Data as a Service) ½ÃÀå : ¾÷°èº°

BDaaS(Big Data as a Service) ½ÃÀå, Áö¿ªº°

°æÀï ±¸µµ

ÀÌ¿ë °¡´ÉÇÑ Ä¿½ºÅ͸¶ÀÌÁî :

¸ñÂ÷

Á¦1Àå ¼­ºñ½º °³¿ä

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå °í°´ÀÇ ¼Ò¸®

Á¦5Àå ¼¼°èÀÇ BDaaS(Big Data as a Service) ½ÃÀå Àü¸Á

Á¦6Àå ºÏ¹ÌÀÇ BDaaS(Big Data as a Service) ½ÃÀå Àü¸Á

Á¦7Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ BDaaS(Big Data as a Service) ½ÃÀå Àü¸Á

Á¦8Àå À¯·´ BDaaS(Big Data as a Service) ½ÃÀå Àü¸Á

Á¦9Àå ³²¹ÌÀÇ BDaaS(Big Data as a Service) ½ÃÀå Àü¸Á

Á¦10Àå Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ BDaaS(Big Data as a Service) ½ÃÀå Àü¸Á

Á¦11Àå ½ÃÀå ¿ªÇÐ

Á¦12Àå ½ÃÀå µ¿Çâ°ú ¹ßÀü

Á¦13Àå ±â¾÷ °³¿ä

Á¦14Àå Àü·«Àû Á¦¾È

Á¦15Àå Á¶»çȸ»ç ¼Ò°³¡¤¸éÃ¥»çÇ×

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Global big data as a service market is expected to thrive during the forecast period. Rising adoption of cloud-based advanced analytics by large enterprises and increasing number of ecommerce platforms are the main drivers of the global big data as a service market. The need for technologically sophisticated big data solutions to store, evaluate, gather, visualize, and anticipate information from massive data volumes has increased along with the necessity to ensure good data quality and provide a channelized data flow in organizations. The global market for big data as a service is anticipated to experience rapid expansion in the ensuing years due to the increased usage of cloud-based data analytics solutions.

The global big data as a service market refers to the industry that provides cloud-based services for managing and analyzing large volumes of data. Big data as a service (BDaaS) is a model where organizations outsource their big data needs to service providers who offer infrastructure, storage, processing, and analytics capabilities in the cloud.

Increasing Volume and Variety of Data Drives Market Growth

Market Overview
Forecast Period2024-2028
Market Size 2022USD 21.52 Billion
Market Size 2028USD 132.84 Billion
CAGR 2023-202835.41%
Fastest Growing SegmentHybrid Cloud
Largest MarketNorth America

The increasing volume and variety of data in the context of BDaaS signifies the exponential growth and diverse nature of data being generated by various sources. This surge in data is driven by factors such as the digital transformation of businesses, the proliferation of connected devices, and the widespread adoption of online services.

The volume of data has reached unprecedented levels, with organizations accumulating vast amounts of structured and unstructured data. This includes customer interactions, transactional records, social media posts, sensor data, log files, and more. Simultaneously, the variety of data has expanded, encompassing different formats, such as text, images, audio, video, and real-time streaming data. Additionally, BDaaS providers play a crucial role in managing and extracting value from this massive and varied data. They offer scalable infrastructure, storage, processing, and analytics capabilities to handle the growing data volumes. They enable organizations to store and process data efficiently, perform complex analytics, and derive actionable insights. The ability to effectively handle the volume and variety of data allows organizations to gain a comprehensive understanding of their operations, customers, and market trends. It empowers them to make data-driven decisions, optimize processes, improve customer experiences, identify new business opportunities, and drive innovation.

BDaaS players continually evolve their platforms to accommodate the increasing data volume and variety. They integrate advanced technologies such as machine learning and real-time analytics to unlock valuable insights from the data. This enables organizations to stay competitive in a data-centric world by harnessing the full potential of big data and leveraging it for strategic advantages.

Increasing Adoption of Cloud-based Advanced Analytics by Large Enterprises to Aid Growth

The development of big data technology services supported by cloud-based advanced analytics is the primary emphasis of major companies in the big data as a service industry across the world. Applications for machine learning, visualization, data/text mining, forecasting, sentiment and semantic analysis, multivariate statistics, network and cluster analysis, graph analysis, complex event processing, and others are all included in cloud-based advanced analytics. The organization's websites and associated data library are further protected by the advanced analytics tools from malicious cyberattacks and unsafe scripts. As an illustration, in June 2019, Oracle Corporation and Microsoft Corporation teamed to help users move and run mission-critical business across advanced analytics, made available by the Microsoft Azure Cloud and the Oracle Cloud. In the upcoming years, this alliance will assist a wide range of prospects for BDaaS providers.

Increasing Number of Ecommerce Platforms to Bolster Growth

The growing number of connected devices across the world is one of the main drivers propelling the growth of the global big data as a service market. Connected devices are being adopted by end-user industries for their commercial and production operations, including government, media & entertainment, retail, BFSI, and manufacturing. The internet of things (IoT) ecosystem includes connected gadgets, which produce enormous volumes of data. Numerous analytical applications, including data/text mining, complex event processing, multivariate statistics, neural networks, and others, use this data, which is gathered and stored. A study by Forbes Media LLC. published in May 2018 found that 2.5 quintillion bytes of data are produced daily on average. The need for BDaaS is anticipated to increase during the forecast period due to the proliferation of linked devices.

Rising Security Breaches and Lack of Skilled Professionals Hamper Market Growth

Although BDaaS offers a wide range of advantages such end-to-end solutions, improved storage, and tractability, the solutions have a few limitations. Security flaws, deployment and operability problems, and a shortage of qualified specialists are a few of the major market constraints. In addition, finding and keeping skilled workers to create complex BDaaS is a barrier impeding growth.

As the volume and value of data stored and processed in BDaaS platforms increase, the risk of security breaches also escalates. Cybercriminals are constantly evolving their techniques to exploit vulnerabilities and gain unauthorized access to sensitive data. Any security breach in BDaaS platforms can have severe consequences, including financial losses, reputational damage, and legal liabilities. These breaches erode customer trust and confidence in BDaaS providers, hindering market growth. To mitigate this challenge, BDaaS providers must prioritize data security and adopt robust security measures. This includes implementing strong encryption techniques, access controls, and authentication mechanisms. Regular security audits, vulnerability assessments, and incident response plans are also crucial to identify and address potential threats proactively.

Overcoming these challenges is critical for the sustainable growth of the global big data as a service market. BDaaS providers must demonstrate a strong commitment to data security, invest in cutting-edge security technologies, and actively participate in talent development initiatives. By addressing these challenges, the global big data as a service market can foster trust among customers, accelerate adoption, and unlock the full potential of big data analytics for organizations across industries.

Market Segmentation

The global big data as a service market is segmented on the basis of solution type, deployment model, organization size, industry vertical, and region. Based on solution type, the market is divided into hadoop-as-a-service, data-as-a-service, and data analytics-as-a-service. Based on deployment model, the market is divided into public cloud, private cloud, and hybrid cloud. Based on organization size, the market is divided into small & medium enterprises and large enterprises. Based on industry vertical, the market is divided into BFSI, retail and e-commerce, IT & telecom, healthcare, government, manufacturing, and others. Based on region, the market is further bifurcated into North America, Asia-Pacific, Europe, South America, and Middle East & Africa.

Market players

Major market players in the global big data as a service market are Microsoft Corporation, Oracle Corporation, Google LLC, Hewlett Packard Enterprise Development LP, Accenture, Teradata Corporation, Sap SE, Sas Institute Inc., Amazon Web Services, Inc., and International Business Machines Corporation.

Report Scope:

In this report, the global big data as a service market has been segmented into the following categories, in addition to the industry trends which have also been detailed below.

Big Data as a Service Market, By Solution Type:

Big Data as a Service Market, By Deployment Model:

Big Data as a Service Market, By Organization Size:

Big Data as a Service Market, By Industry Vertical:

Big Data as a Service Market, By Region:

Competitive Landscape

Available Customizations:

Table of Contents

1. Service Overview

2. Research Methodology

3. Executive Summary

4. Voice of Customers

5. Global Big Data as a Service Market Outlook

6. North America Big Data as a Service Market Outlook

7. Asia-Pacific Big Data as a Service Market Outlook

8. Europe Big Data as a Service Market Outlook

9. South America Big Data as a Service Market Outlook

10. Middle East & Africa Big Data as a Service Market Outlook

11. Market Dynamics

12. Market Trends & Developments

13. Company Profiles

14. Strategic Recommendations

15. About Us & Disclaimer

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