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¼¼°èÀÇ SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå : ºÎ¹®º° ¿¹Ãø(2025-2030³â)

SaaS-based Business Analytics Market by Component (Service, Software), Deployment (Cloud, On-Premise), Enterprise, Application, End-user - Global Forecast 2025-2030

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SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º(SaaS-based Business Analytics) ½ÃÀåÀÇ 2023³â ½ÃÀå ±Ô¸ð´Â 144¾ï 7,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú½À´Ï´Ù. 2024³â¿¡´Â 162¾ï 6,000¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ÃßÁ¤µÇ¸ç, CAGR 13.39%·Î ÃßÀÌÇÏ¸ç ¼ºÀåÇÏ¿©, 2030³â¿¡´Â 349¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀåÀº ´Ù¾çÇÑ »ê¾÷ ºÐ¾ß¿¡¼­ µ¥ÀÌÅÍ ±â¹Ý ÀÇ»ç °áÁ¤¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó °ß°íÇÑ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. ÀÌ ½ÃÀå¿¡´Â Ŭ¶ó¿ìµå ±â¹Ý ¼­ºñ½º¸¦ ÅëÇØ ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º ±â´ÉÀ» Á¦°øÇÏ´Â ¼ÒÇÁÆ®¿þ¾î ¼Ö·ç¼ÇÀÌ Æ÷ÇԵǸç, ±â¾÷Àº ´ë±Ô¸ð IT ÀÎÇÁ¶ó ÅõÀÚ ¾øÀ̵µ ÀλçÀÌÆ®¸¦ ¾òÀ» ¼ö ÀÖ½À´Ï´Ù. ÀÌ ½ÃÀåÀÇ Çʿ伺Àº ±ÞÁõÇÏ´Â µ¥ÀÌÅÍ ¾ç, ½Ç½Ã°£ ºÐ¼®ÀÇ Çʿ伺, µðÁöÅÐ Çõ½ÅÀ» ÇâÇÑ Àü·«Àû ÃßÁø·Â¿¡¼­ ºñ·ÔµË´Ï´Ù. ±ÝÀ¶, ¼Ò¸Å, ÀÇ·á, Á¦Á¶ µî ´Ù¾çÇÑ ºÐ¾ß¿¡¼­ ¿¹Ãø, À§Çè °ü¸®, ¿î¿µ ÀλçÀÌÆ®¸¦ À§ÇØ ÀÌ·¯ÇÑ Ç÷§ÆûÀ» Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. ¼ºÀåÀ» ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀ¸·Î´Â ºòµ¥ÀÌÅÍÀÇ È®»ê, AI ¹× ¸Ó½Å·¯´×ÀÇ ¹ßÀü, ¿ÂÇÁ·¹¹Ì½º ¼Ö·ç¼Ç¿¡ ºñÇØ ±¸µ¶ ±â¹Ý ¸ðµ¨ÀÇ Àú·ÅÇÑ ºñ¿ë µîÀÌ ÀÖ½À´Ï´Ù. °í±Þ ¿¹Ãø ºÐ¼®À» À§ÇÑ AIÀÇ ÅëÇÕ, ºñÀü¹®°¡¸¦ À§ÇÑ µµ±¸ÀÇ È®Àå, Ŭ¶ó¿ìµå ÀÎÇÁ¶óÀÇ Áõ°¡·Î ÀÎÇÑ ½ÅÈï ½ÃÀå¿¡¼­ÀÇ µµÀÔÀÌ ÀáÀçÀûÀÎ ±âȸ·Î ÀÛ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ Àü ¼¼°èÀûÀ¸·Î ±ÔÁ¦°¡ °­È­µÊ¿¡ µû¶ó µ¥ÀÌÅÍ º¸¾È ¹× °³ÀÎÁ¤º¸ º¸È£ Àü·« °­È­¿¡ ÃÊÁ¡À» ¸ÂÃß´Â °Íµµ Áß¿äÇØÁú °ÍÀÔ´Ï´Ù.

ÁÖ¿ä ½ÃÀå Åë°è
±âÁØ¿¬µµ(2023³â) 144¾ï 7,000¸¸ ´Þ·¯
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CAGR(%) 13.39%

±×·³¿¡µµ ºÒ±¸ÇÏ°í ½ÃÀåÀº µ¥ÀÌÅÍ ÅëÇÕÀÇ º¹À⼺, µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã¿¡ ´ëÇÑ ¿ì·Á, °æÀï·Â À¯Áö¸¦ À§ÇÑ Áö¼ÓÀûÀÎ Á¦Ç° Çõ½ÅÀÇ Çʿ伺 µîÀÇ °úÁ¦¿¡ Á÷¸éÇØ ÀÖ½À´Ï´Ù. ¶ÇÇÑ ±â¾÷ µ¥ÀÌÅÍÀÇ ±Ô¸ð¿¡ µû¶ó ¿øÈ°ÇÑ È®À强°ú ¼º´ÉÀ» º¸ÀåÇØ¾ß ÇÏ´Â ºÎ´ãµµ ¼ºÀåÀ» ÀúÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ½Ç½Ã°£ ºÐ¼® ±â´É Çâ»ó, º¸´Ù Á÷°üÀûÀÎ »ç¿ëÀÚ ÀÎÅÍÆäÀ̽º °³¹ß, º¸´Ù ½¬¿î µ¥ÀÌÅÍ ÇØ¼®À» À§ÇÑ ÀÚ¿¬¾î ó¸® µµÀÔ µî Çõ½ÅÀÌ ÇÊ¿äÇÑ ºÐ¾ß°¡ ÀÖ½À´Ï´Ù. ¶ÇÇÑ µ¥ÀÌÅÍ º¸¾È°ú Á¢±Ù¼ºÀÇ ±ÕÇüÀ» ¸ÂÃß´Â ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¿¬±¸µµ Ȱ¹ßÈ÷ ÁøÇàµÇ°í ÀÖ½À´Ï´Ù. °æÀïÀÌ Ä¡¿­ÇÑ ½ÃÀåÀÇ Æ¯¼º»ó °í°´ÀÇ Çǵå¹é¿¡ Áö¼ÓÀûÀ¸·Î °ü½ÉÀ» ±â¿ïÀÌ°í ±â¼ú ¹ßÀü¿¡ ¹ÎøÇÏ°Ô ÀûÀÀÇÒ ¼ö ÀÖ¾î¾ß ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ °úÁ¦¸¦ ÇØ°áÇÏ´Â µ¿½Ã¿¡ Á¦Ç°À» °³¼±Çϰí Çõ½ÅÇÔÀ¸·Î½á SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ºÎ¹®ÀÇ ±â¾÷Àº ÁøÈ­ÇÏ´Â ½ÃÀå ȯ°æ¿¡¼­ °áÁ¤ÀûÀÎ ¿ìÀ§¸¦ È®º¸ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ : ºü¸£°Ô ÁøÈ­ÇÏ´Â SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå ÁÖ¿ä ÀλçÀÌÆ® °ø°³

SaaS ±â¹ÝÀÇ ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀåÀº ¼ö¿ä ¹× °ø±ÞÀÇ ¿ªµ¿ÀûÀÎ »óÈ£ÀÛ¿ëÀ¸·Î ÀÎÇØ Çõ½ÅÀûÀÎ º¯È­¸¦ °Þ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¯È­ÇÏ´Â ½ÃÀå ¿ªÇÐÀ» ÀÌÇØÇÏ¸é ºñÁî´Ï½º Á¶Á÷Àº Á¤º¸¿¡ ÀÔ°¢ÇÑ ÅõÀÚ °áÁ¤À» ³»¸®°í, Àü·«Àû ÀÇ»ç °áÁ¤À» °³¼±Çϸç, »õ·Î¿î ±âȸ¸¦ Æ÷ÂøÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Æ®·»µå¸¦ Á¾ÇÕÀûÀ¸·Î ÆÄ¾ÇÇÔÀ¸·Î½á ºñÁî´Ï½º Á¶Á÷Àº Á¤Ä¡Àû, Áö¸®Àû, ±â¼úÀû, »çȸÀû, °æÁ¦Àû ¿µ¿ª¿¡¼­ ´Ù¾çÇÑ À§ÇèÀ» ¿ÏÈ­ÇÏ´Â µ¿½Ã¿¡ ¼ÒºñÀÚ Çൿ°ú ±×°ÍÀÌ Á¦Á¶ ºñ¿ë ¹× ±¸¸Å Æ®·»µå¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» ´õ ¸íÈ®ÇÏ°Ô ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù.

  • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
    • ¿î¿µ ºñ¿ë(OPEX) ºñÁî´Ï½º ¸ðµ¨ÀÇ Àαâ È®´ë
    • ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ¼ÒÇÁÆ®¿þ¾îÀÇ Ã¤Åà Áõ°¡
    • ¼­ºñ½º ÁöÇâ ¾ÆÅ°ÅØÃ³·Î ÀÌÇà Áõ°¡
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  • ½ÃÀå ±âȸ
    • ¼Ò¼È ¹Ìµð¾î ºÐ¼®ÀÇ »õ·Î¿î µ¿Çâ
    • SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º¿¡¼­ ÷´Ü ±â¼ú ÅëÇÕ
  • ½ÃÀå °úÁ¦
    • SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º¿Í °ü·ÃµÈ ´ë¿ªÆø ¹× ¿¬°á¼º ¹®Á¦

Porter's Five Force : SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀåÀ» Ž»öÇÏ´Â Àü·« µµ±¸

Porter's Five Force ÇÁ·¹ÀÓ¿öÅ©´Â SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå °æÀï ±¸µµ¸¦ ÀÌÇØÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ÀÌ ÇÁ·¹ÀÓ¿öÅ©´Â ºñÁî´Ï½º Á¶Á÷¿¡ °æÀïÀû À§Ä¡¸¦ Æò°¡Çϰí Àü·«Àû ±âȸ¸¦ Ž»öÇÒ ¼ö ÀÖ´Â ¸íÈ®ÇÑ ¹æ¹ý·ÐÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ ÇÁ·¹ÀÓ¿öÅ©´Â ±â¾÷ÀÌ ½ÃÀå ³» ÈûÀÇ ¿ªÇÐ °ü°è¸¦ Æò°¡ÇÏ°í »õ·Î¿î º¥Ã³ÀÇ ¼öÀͼºÀ» ÆÇ´ÜÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ÀÌ·¯ÇÑ ÀλçÀÌÆ®¸¦ ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº °­Á¡À» Ȱ¿ëÇÏ°í ¾àÁ¡À» ÇØ°áÇϸç ÀáÀçÀûÀÎ ¹®Á¦¸¦ ¹æÁöÇÏ¿© º¸´Ù ź·ÂÀûÀÎ ½ÃÀå Æ÷Áö¼Å´×À» È®º¸ÇÒ ¼ö ÀÖ½À´Ï´Ù.

PESTLE ºÐ¼® : SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡¼­ ¿ÜºÎ ¿µÇâÀ» ÆÄ¾Ç

¿ÜºÎ °Å½Ã ȯ°æ ¿äÀÎÀº SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ ¼º°ú ¿ªÇÐÀ» Çü¼ºÇÏ´Â µ¥ ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. Á¤Ä¡, °æÁ¦, »çȸ, ±â¼ú, ¹ý·ü ¹× ȯ°æ ¿äÀÎ ºÐ¼®Àº ÀÌ·¯ÇÑ ¿µÇâÀ» Ž»öÇÏ´Â µ¥ ÇÊ¿äÇÑ Á¤º¸¸¦ Á¦°øÇÕ´Ï´Ù. PESTLE ¿äÀÎÀ» °ËÅäÇÔÀ¸·Î½á ±â¾÷Àº ÀáÀçÀûÀÎ À§Çè°ú ±âȸ¸¦ ´õ Àß ÀÌÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ºÐ¼®À» ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº ±ÔÁ¦, ¼ÒºñÀÚ ¼±È£µµ, °æÁ¦ µ¿ÇâÀÇ º¯È­¸¦ ¿¹ÃøÇÏ¿© ¼±Á¦ÀûÀÌ°í ¹Ì·¡ ÁöÇâÀûÀÎ ÀÇ»ç °áÁ¤À» ³»¸± Áغñ¸¦ ÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼® : SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡¼­ °æÀï ±¸µµ ÆÄ¾Ç

SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ »ó¼¼ÇÑ ½ÃÀå Á¡À¯À² ºÐ¼®À» ÅëÇØ °ø±Þ¾÷üÀÇ ¼º°ú¸¦ Á¾ÇÕÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº ¸ÅÃâ, °í°´ ±â¹Ý, ¼ºÀå·ü µîÀÇ ÁÖ¿ä ÁöÇ¥¸¦ ºñ±³ÇÏ¿© °æÀï ¿ìÀ§¸¦ ÆÄ¾ÇÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ºÐ¼®Àº ½ÃÀå ÁýÁßµµ, ¼¼ºÐÈ­, ÅëÇÕ Ãß¼¼¸¦ °­Á¶ÇÏ¿© º¥´õ°¡ °æÀïÀÌ Ä¡¿­ÇØÁö´Â ȯ°æ¿¡¼­ ÀÔÁö¸¦ °­È­ÇÏ´Â Àü·«Àû °áÁ¤À» ³»¸®´Â µ¥ ÇÊ¿äÇÑ ÀλçÀÌÆ®¸¦ Á¦°øÇÕ´Ï´Ù.

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º : SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡¼­ °ø±Þ¾÷üÀÇ ¼º°ú Æò°¡

FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º´Â SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡¼­ °ø±Þ¾÷ü¸¦ Æò°¡ÇÏ´Â Áß¿äÇÑ µµ±¸ÀÔ´Ï´Ù. ÀÌ ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ºñÁî´Ï½º Á¶Á÷Àº ºñÁî´Ï½º Àü·«°ú Á¦Ç° ¸¸Á·µµ¸¦ ±âÁØÀ¸·Î °ø±Þ¾÷ü¸¦ Æò°¡ÇÏ¿© ¸ñÇ¥¿¡ ºÎÇÕÇÏ´Â Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç °áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù. 4°³ÀÇ »çºÐ¸éÀº °ø±Þ¾÷ü¸¦ ¸íÈ®Çϰí Á¤È®ÇÏ°Ô ¼¼ºÐÈ­ÇÏ¿© »ç¿ëÀÚ°¡ Àü·«Àû ¸ñÇ¥¿¡ °¡Àå ÀûÇÕÇÑ ÆÄÆ®³Ê¿Í ¼Ö·ç¼ÇÀ» ½Äº°ÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÝ´Ï´Ù.

Àü·« ºÐ¼® ¹× Á¦¾È : SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀå¿¡¼­ ¼º°øÀ» À§ÇÑ ±æÀ» ±×¸®±â

SaaS ±â¹Ý ºñÁî´Ï½º ¾Ö³Î¸®Æ½½º ½ÃÀåÀÇ Àü·«Àû ºÐ¼®Àº ¼¼°è ½ÃÀå¿¡¼­ ÀÔÁö °­È­¸¦ ¸ñÇ¥·Î ÇÏ´Â ±â¾÷¿¡ ÇʼöÀûÀÔ´Ï´Ù. ÁÖ¿ä ¸®¼Ò½º, ¿ª·® ¹× ¼º°ú ÁöÇ¥¸¦ °ËÅäÇÔÀ¸·Î½á ºñÁî´Ï½º Á¶Á÷Àº ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í °³¼±À» À§ÇØ ³ë·ÂÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¢±Ù ¹æ½ÄÀº ±â¾÷ÀÌ °æÀï ȯ°æÀÇ ¾î·Á¿òÀ» ÇìÃijª°¡´Â µ¥ µµ¿òÀÌ µÇ¸ç, »õ·Î¿î ±âȸ¸¦ Ȱ¿ëÇϰí Àå±âÀûÀÎ ¼º°øÀ» À̲ø¾î³¾ ¼ö ÀÖ´Â À¯¸®ÇÑ À§Ä¡¸¦ È®º¸ÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù.

ÀÌ º¸°í¼­´Â ÁÖ¿ä °ü½É ºÐ¾ß¸¦ Æ÷°ýÇÏ´Â ½ÃÀåÀÇ Á¾ÇÕÀûÀÎ ºÐ¼®À» Á¦°øÇÕ´Ï´Ù.

1. ½ÃÀå ħÅõ : ÇöÀç ½ÃÀå ȯ°æÀÇ »ó¼¼ÇÑ °ËÅä, ÁÖ¿ä ±â¾÷ÀÇ ±¤¹üÀ§ÇÑ µ¥ÀÌÅÍ, ½ÃÀå µµ´Þ¹üÀ§ ¹× Àü¹ÝÀûÀÎ ¿µÇâ·Â Æò°¡.

2. ½ÃÀå °³Ã´µµ : ½ÅÈï ½ÃÀåÀÇ ¼ºÀå ±âȸ¸¦ ÆÄ¾ÇÇÏ°í ±âÁ¸ ºÐ¾ßÀÇ È®Àå °¡´É¼ºÀ» Æò°¡ÇÏ¸ç ¹Ì·¡ ¼ºÀåÀ» À§ÇÑ Àü·«Àû ·Îµå¸ÊÀ» Á¦°øÇÕ´Ï´Ù.

3. ½ÃÀå ´Ù¾çÈ­ : ÃÖ±Ù Á¦Ç° Ãâ½Ã, ¹Ì°³Ã´ Áö¿ª, ¾÷°èÀÇ ÁÖ¿ä Áøº¸, ½ÃÀåÀ» Çü¼ºÇÏ´Â Àü·«Àû ÅõÀÚ¸¦ ºÐ¼®ÇÕ´Ï´Ù.

4. °æÀï Æò°¡ ¹× Á¤º¸ : °æÀï ±¸µµ¸¦ öÀúÈ÷ ºÐ¼®ÇÏ¿© ½ÃÀå Á¡À¯À², »ç¾÷ Àü·«, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÀÎÁõ, ±ÔÁ¦ ´ç±¹ ½ÂÀÎ, ƯÇã µ¿Çâ, ÁÖ¿ä ±â¾÷ÀÇ ±â¼ú Áøº¸ µîÀ» °ËÁõÇÕ´Ï´Ù.

5. Á¦Ç° °³¹ß ¹× Çõ½Å : ¹Ì·¡ ½ÃÀå ¼ºÀåÀ» °¡¼ÓÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ÃÖ÷´Ü ±â¼ú, R&D Ȱµ¿, Á¦Ç° Çõ½ÅÀ» °­Á¶ÇÕ´Ï´Ù.

¶ÇÇÑ ÀÌÇØ°ü°èÀÚ°¡ ÃæºÐÇÑ Á¤º¸¸¦ ¾ò°í ÀÇ»ç°áÁ¤À» ÇÒ ¼ö ÀÖµµ·Ï Áß¿äÇÑ Áú¹®¿¡ ´ë´äÇϰí ÀÖ½À´Ï´Ù.

1. ÇöÀç ½ÃÀå ±Ô¸ð¿Í ÇâÈÄ ¼ºÀå ¿¹ÃøÀº?

2. ÃÖ°íÀÇ ÅõÀÚ ±âȸ¸¦ Á¦°øÇÏ´Â Á¦Ç°, ºÎ¹® ¹× Áö¿ªÀº?

3. ½ÃÀåÀ» Çü¼ºÇÏ´Â ÁÖ¿ä ±â¼ú µ¿Çâ°ú ±ÔÁ¦ÀÇ ¿µÇâÀº?

4. ÁÖ¿ä º¥´õÀÇ ½ÃÀå Á¡À¯À²°ú °æÀï Æ÷Áö¼ÇÀº?

5. º¥´õ ½ÃÀå ÁøÀÔ¡¤Ã¶¼ö Àü·«ÀÇ ¿øµ¿·ÂÀÌ µÇ´Â ¼öÀÍ¿ø°ú Àü·«Àû ±âȸ´Â?

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  • Porter's Five Forces ºÐ¼®
  • PESTEL ºÐ¼®
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  • Accenture PLC
  • GoodData Corp.
  • Infor Inc.
  • International Business Machines Corp.
  • Microsoft Corp.
  • MicroStrategy Inc.
  • Open Text Corp.
  • Oracle Corporation
  • Salesforce, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Sisense Inc.
  • Splunk Inc.
  • Teradata Corporation
  • TIBCO Software Inc.
LYJ

The SaaS-based Business Analytics Market was valued at USD 14.47 billion in 2023, expected to reach USD 16.26 billion in 2024, and is projected to grow at a CAGR of 13.39%, to USD 34.90 billion by 2030.

The SaaS-based Business Analytics market is witnessing robust growth, driven by the increasing demand for data-driven decision-making across various industries. It encompasses software solutions that deliver business intelligence capabilities through cloud-based services, allowing firms to gain insights without extensive IT infrastructure investments. This market's necessity stems from the escalating volume of data, the need for real-time analytics, and the strategic drive toward digital transformation. Applications span numerous sectors, including finance, retail, healthcare, and manufacturing, where organizations utilize these platforms for forecasting, risk management, and operational insights. Key influencing factors promoting growth include the proliferation of big data, advancements in AI and machine learning, and the lower cost of subscription-based models compared to on-premise solutions. Potential opportunities lie in the integration of AI for advanced predictive analytics, the expansion of tools catering to non-technical users, and the adoption across emerging markets due to rising cloud infrastructure. A focus on heightened data security and privacy strategies will also be critical as regulations tighten globally.

KEY MARKET STATISTICS
Base Year [2023] USD 14.47 billion
Estimated Year [2024] USD 16.26 billion
Forecast Year [2030] USD 34.90 billion
CAGR (%) 13.39%

Nevertheless, the market faces challenges such as data integration complexities, concerns over data privacy, and the necessity for continuous product innovation to stay competitive. Additionally, the burden of ensuring seamless scalability and performance as enterprise data scales can hinder growth. Areas ripe for innovation include enhancing real-time analytics capabilities, developing more intuitive user interfaces, and employing natural language processing for easier data interpretation. Research can also focus on hybrid cloud solutions, which balance data security with accessibility. The competitive nature of the market demands ongoing attention to customer feedback and the agility to adapt to technological advancements. By addressing these challenges while refining and innovating offerings, businesses in the SaaS-based Business Analytics sector can secure a decisive edge in this evolving market landscape.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving SaaS-based Business Analytics Market

The SaaS-based Business Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Growing popularity of the operating expenses (OPEX) business model
    • Rise in adoption of business analytics software
    • Increasing shift towards service-oriented architecture
  • Market Restraints
    • Inadequate meaningful data among SMEs
  • Market Opportunities
    • Emerging trend of social media analytics
    • Integration of advanced technologies in SaaS-based business analytics
  • Market Challenges
    • Bandwidth and connectivity issues associated with SaaS-based business analytics

Porter's Five Forces: A Strategic Tool for Navigating the SaaS-based Business Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the SaaS-based Business Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the SaaS-based Business Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the SaaS-based Business Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the SaaS-based Business Analytics Market

A detailed market share analysis in the SaaS-based Business Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the SaaS-based Business Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the SaaS-based Business Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the SaaS-based Business Analytics Market

A strategic analysis of the SaaS-based Business Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the SaaS-based Business Analytics Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, GoodData Corp., Infor Inc., International Business Machines Corp., Microsoft Corp., MicroStrategy Inc., Open Text Corp., Oracle Corporation, Salesforce, Inc., SAP SE, SAS Institute Inc., Sisense Inc., Splunk Inc., Teradata Corporation, and TIBCO Software Inc..

Market Segmentation & Coverage

This research report categorizes the SaaS-based Business Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Component, market is studied across Service and Software.
  • Based on Deployment, market is studied across Cloud and On-Premise.
  • Based on Enterprise, market is studied across Large and Small & Medium.
  • Based on Application, market is studied across Customer Analytics, Marketing Analytics, Pricing Analytics, Risk & Credit Analytics, and Supply Chain Analytics.
  • Based on End-user, market is studied across BFSI, Education, Government, Healthcare, IT & Telecom, Manufacturing, and Retail & Ecommerce.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing popularity of the operating expenses (OPEX) business model
      • 5.1.1.2. Rise in adoption of business analytics software
      • 5.1.1.3. Increasing shift towards service-oriented architecture
    • 5.1.2. Restraints
      • 5.1.2.1. Inadequate meaningful data among SMEs
    • 5.1.3. Opportunities
      • 5.1.3.1. Emerging trend of social media analytics
      • 5.1.3.2. Integration of advanced technologies in SaaS-based business analytics
    • 5.1.4. Challenges
      • 5.1.4.1. Bandwidth and connectivity issues associated with SaaS-based business analytics
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. SaaS-based Business Analytics Market, by Component

  • 6.1. Introduction
  • 6.2. Service
  • 6.3. Software

7. SaaS-based Business Analytics Market, by Deployment

  • 7.1. Introduction
  • 7.2. Cloud
  • 7.3. On-Premise

8. SaaS-based Business Analytics Market, by Enterprise

  • 8.1. Introduction
  • 8.2. Large
  • 8.3. Small & Medium

9. SaaS-based Business Analytics Market, by Application

  • 9.1. Introduction
  • 9.2. Customer Analytics
  • 9.3. Marketing Analytics
  • 9.4. Pricing Analytics
  • 9.5. Risk & Credit Analytics
  • 9.6. Supply Chain Analytics

10. SaaS-based Business Analytics Market, by End-user

  • 10.1. Introduction
  • 10.2. BFSI
  • 10.3. Education
  • 10.4. Government
  • 10.5. Healthcare
  • 10.6. IT & Telecom
  • 10.7. Manufacturing
  • 10.8. Retail & Ecommerce

11. Americas SaaS-based Business Analytics Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific SaaS-based Business Analytics Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa SaaS-based Business Analytics Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2023
  • 14.2. FPNV Positioning Matrix, 2023
  • 14.3. Competitive Scenario Analysis
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Accenture PLC
  • 2. GoodData Corp.
  • 3. Infor Inc.
  • 4. International Business Machines Corp.
  • 5. Microsoft Corp.
  • 6. MicroStrategy Inc.
  • 7. Open Text Corp.
  • 8. Oracle Corporation
  • 9. Salesforce, Inc.
  • 10. SAP SE
  • 11. SAS Institute Inc.
  • 12. Sisense Inc.
  • 13. Splunk Inc.
  • 14. Teradata Corporation
  • 15. TIBCO Software Inc.
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