ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ½ÃÀå ±Ô¸ð´Â 2024³â 688¾ï 8,800¸¸ ´Þ·¯·Î ÃßÁ¤µÇ¸ç, 2029³â¿¡´Â 1,320¾ï 3,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, ¿¹Ãø ±â°£(2024-2029³â) µ¿¾È 13.90%ÀÇ CAGR·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
ÀÓº£µðµå ¾Ö³Î¸®Æ½½º´Â ±â¾÷ÀÇ ¼ÒÇÁÆ®¿þ¾î ÇÁ·Î±×·¥¿¡ ÅëÇյǴ ÃÖÁ¾»ç¿ëÀÚ Áß½ÉÀÇ BI ¹× ºÐ¼® ¼Ö·ç¼ÇÀÔ´Ï´Ù. ÀÓº£µðµå ¾Ö³Î¸®Æ½½º´Â Ç÷§Æû µ¶¸³ÀûÀÎ ¼ºñ½º°¡ ¾Æ´Ï¶ó ÀÓº£µðµå ¾ÖÇø®ÄÉÀ̼ÇÀÇ ±¸¼º¿ä¼ÒÀÔ´Ï´Ù. À̸¦ ÅëÇØ »ç¿ëÀÚ´Â °íÇ°Áú µ¥ÀÌÅ͸¦ Á¶ÀÛÇÏ°í ½Å¼ÓÇÏ°Ô º¸°í¼¸¦ ÀÛ¼ºÇÒ ¼ö ÀÖ½À´Ï´Ù.
ÁÖ¿ä ÇÏÀ̶óÀÌÆ®
- ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ½ÃÀåÀ» À̲ô´Â ÁÖ¿ä ¿äÀÎÀº ºñÁî´Ï½ºÀÇ ºòµ¥ÀÌÅÍ ¹× »ç¹°ÀÎÅͳÝ(IoT) È®´ë, ¸ð¹ÙÀÏ ±â±â ¹× Ŭ¶ó¿ìµå ±â¼úÀÇ ½Å·Ú¼º, ºñÁî´Ï½º ¾ÖÇø®ÄÉÀ̼ǰúÀÇ µ¥ÀÌÅÍ ºÐ¼® ÅëÇÕ¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡ µîÀÔ´Ï´Ù.
- ¶ÇÇÑ, µ¥ÀÌÅÍÀÇ ¾ç°ú Á¾·ù°¡ Áõ°¡ÇÏ°í, ÀºÇà ¹× ±âŸ ±ÝÀ¶±â°üÀÇ ±ÝÀ¶ °Å·¡¸¦ À§ÇÑ IT ½Ã½ºÅÛ¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó ÀÓº£µðµå ¾Ö³Î¸®Æ½½ºÀÇ Çʿ伺ÀÌ ´õ¿í Ä¿Áö°í ÀÖ½À´Ï´Ù.
- ºòµ¥ÀÌÅÍ ¾ÖÇø®ÄÉÀ̼ÇÀÇ Áõ°¡´Â ÀÓº£µðµå ¾Ö³Î¸®Æ½½ºÀÇ ¼ö¿ë¿¡ Å©°Ô ±â¿©ÇÒ °ÍÀÔ´Ï´Ù. µû¶ó¼ ÃÖ±Ù ¸î ³â µ¿¾È ºòµ¥ÀÌÅÍ ¹× ºÐ¼® ¼Ö·ç¼ÇÀÇ ¼öÀÍÀº Áö¼ÓÀûÀ¸·Î ¼ºÀåÇÏ°í ÀÖ½À´Ï´Ù.
- ±×·¯³ª ³ôÀº ±³Ã¼ ºñ¿ë°ú ·¹°Å½Ã ½Ã½ºÅÛÀÌ »õ·Î¿î API¿Í ȣȯµÇÁö ¾Ê¾Æ µ¥ÀÌÅÍ ºÎÁ·ÀÇ À§ÇèÀÌ Áõ°¡ÇÏ¿© ¿¹Ãø ±â°£ µ¿¾È ½ÃÀå ¼öÀÍÀÇ ¼ºÀåÀ» ÀúÇØÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
- ½ÃÀå º¸°í¼´Â ¿Â¶óÀÎ ¼îÇÎ, À½½Ä ÁÖ¹®, µðÁöÅÐÈµÈ °áÁ¦ ¹æ½ÄÀÌ ±â¾÷µé¿¡°Ô µ¥ÀÌÅÍ Ç®À» Á¦°øÇ߱⠶§¹®¿¡ COVID-19 Àü¿°º´ÀÌ ½ÃÀå¿¡ ¼ºÀå ±âȸ¸¦ °¡Á®´Ù ÁÖ¾ú´Ù°í ¹àÇû½À´Ï´Ù. ³»ÀåµÈ ºÐ¼® µµ±¸´Â »ý¼ºµÈ µðÁöÅÐÈµÈ µ¥ÀÌÅ͸¦ ÅëÇØ COVID-19 ÆÒµ¥¹Í ±â°£ µ¿¾È ±â¾÷µé¿¡°Ô µ¥ÀÌÅÍ Æ®·»µå¿Í ÀλçÀÌÆ®¸¦ Á¦°øÇÏ¿© ½ÃÀå ¼ºÀåÀ» ÃËÁøÇß½À´Ï´Ù.
ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ½ÃÀå µ¿Çâ
¸ð¹ÙÀÏ ±â±â ¹× Ŭ¶ó¿ìµå ÄÄÇ»Æà ±â¼ú »ç¿ë Áõ°¡·Î Å« ÆøÀÇ ¼ºÀå¼¼ º¸ÀÏ °Í
- °í±Þ ºñÁî´Ï½º ¾ÖÇø®ÄÉÀ̼ÇÀ» È¿°úÀûÀ¸·Î »ç¿ëÇÏ·Á¸é Ŭ¶ó¿ìµå ±â¼ú°ú ¸ð¹ÙÀÏ ±â±â°¡ ÇʼöÀûÀÔ´Ï´Ù. ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ¼ÒÇÁÆ®¿þ¾î¿Í ÅëÇÕµÈ ¸ð¹ÙÀÏ µð¹ÙÀ̽º´Â ½Ç½Ã°£ µ¥ÀÌÅÍ ½Ã°¢È¸¦ Áö¿øÇÕ´Ï´Ù.
- Ŭ¶ó¿ìµå ÄÄÇ»Æà ±â¼úÀÇ »ç¿ëÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ºñÁî´Ï½º ¿î¿µÀÌ °³¼±µÇ°í °í°´ Çൿ¿¡ ´ëÇÑ ´õ ³ªÀº ÀλçÀÌÆ®¸¦ Á¦°øÇÏ¿© ½ÃÀå ¼öÀÍ ¼ºÀåÀ» ÃËÁøÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
- ¶ÇÇÑ, ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ¼ÒÇÁÆ®¿þ¾î¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó »ý»ê¼ºÀ» ³ôÀÌ°í ¿î¿µ ºñ¿ëÀ» Àý°¨ÇÏ¸ç µ¥ÀÌÅÍ °ËÅä ½Ã°£À» Àý¾àÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÀÌÀ¯·Î ¿¹Ãø ±â°£ µ¿¾È ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ¼ÒÇÁÆ®¿þ¾î¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
- ±â¾÷Àº Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀ» ÅëÇØ µ¥ÀÌÅ͸¦ °áÇÕÇÏ°í µ¥ÀÌÅÍ¿¡ ´ëÇÑ ÀÌÇظ¦ Çâ»ó½Ãų ¼ö ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ±â¹Ý µ¥ÀÌÅÍ¿þ¾îÇϿ콺¸¦ ÅëÇØ Á¤º¸¿¡ Áï°¢ÀûÀÌ°í ¾ÈÀüÇÏ°Ô Á¢±ÙÇÒ ¼ö ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ÅëÇÕÀ» ÅëÇØ µ¥ÀÌÅÍ ºÐ¼®À» ÅëÇÑ ½Ç½Ã°£ ¿¹Ãø ¸ðµ¨¸µÀÌ °¡´ÉÇØÁý´Ï´Ù.
- Ŭ¶ó¿ìµå ºñÁî´Ï½º ºÐ¼®Àº ³»ºÎ ÀÎÇÁ¶óÀÇ Áö¼ÓÀûÀÎ À¯Áöº¸¼ö°¡ ÇÊ¿ä ¾ø°í, È®À强, ź·Â¼º, °æÁ¦¼ºÀ» °®Ãá ÀÎÇÁ¶ó¸¦ Á¦°øÇϱ⠶§¹®¿¡ ¸¹Àº ±â¾÷µéÀÌ Å¬¶ó¿ìµå ºñÁî´Ï½º ºÐ¼®À» äÅÃÇÏ°í ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀÇ ÀαⰡ ³ô¾ÆÁü¿¡ µû¶ó ±â¾÷µéÀº È£½ºÆ® µ¥ÀÌÅÍ¿Í ¿ÂÇÁ·¹¹Ì½º µ¥ÀÌÅÍ ¸ðµÎ¿¡ ÀÌÁ¡À» Á¦°øÇÏ´Â °ß°íÇÑ Ç÷§ÆûÀ» °³¹ßÇØ¾ß ÇÏ´Â »óȲ¿¡ Á÷¸éÇØ ÀÖ½À´Ï´Ù.
ºÏ¹Ì Áö¿ªÀÌ ÁÖ¿ä ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»ó
- ºÏ¹Ì Áö¿ªÀº ´Ù¸¥ Áö¿ª¿¡ ºñÇØ ´Ù¾çÇÑ ÃÖÁ¾»ç¿ëÀÚ »ê¾÷¿¡¼ µ¥ÀÌÅÍ Çö´ëÈ ±â¼ú µµÀÔÀÌ °¡Àå È°¹ßÇÏ°Ô ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ÀÌ´Â ÀÓº£µðµå ¾Ö³Î¸®Æ½½º¿Í °°Àº ´Ù¾çÇÑ ºÐ¼® ¼Ö·ç¼ÇÀÇ µµÀÔÀ» ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀ¸·Î ÀÛ¿ëÇÏ°í ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀº ¾ÖÇÃ, ÆäÀ̽ººÏ, IBM, ±¸±Û µî ¸¹Àº ´ë±â¾÷ÀÇ º»°ÅÁöÀ̱⠶§¹®¿¡ ICT ¾÷°è¿¡¼ ±× ÀÔÁö¸¦ À¯ÁöÇÏ°í ÀÖ½À´Ï´Ù.
- ¶ÇÇÑ, °í±Þ ±â¼ú ±¸Çö, ÀûÀýÇÑ ±â¼ú ÀÎÇÁ¶ó¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, ÀÓº£µðµå ¾Ö³Î¸®Æ½½º µµ±¸¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, ±×¸®°í Áö¿ª ³» ¼ö¸¹Àº ±â¾÷ÀÇ Á¸Àç°¡ ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ¼ÒÇÁÆ®¿þ¾î ½ÃÀåÀÇ ¼ºÀåÀ» ÁÖµµÇÏ°í ÀÖ½À´Ï´Ù.
- ÇコÄɾî, BFSI, Á¦Á¶¿Í °°Àº ÀϺΠÃÖÁ¾»ç¿ëÀÚ »ê¾÷Àº ÀÓº£µðµå ¾Ö³Î¸®Æ½½º¿Í °°Àº ºÐ¼® ¼Ö·ç¼ÇÀ» Å©°Ô äÅÃÇÏ°í ÀÖÀ¸¸ç, ÀÌ Áö¿ª¿¡¼ Áö¹èÀûÀÎ À§Ä¡¸¦ Â÷ÁöÇÏ°í ÀÖ½À´Ï´Ù. µû¶ó¼ ÀÌ Áö¿ªÀÇ ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ¼Ö·ç¼Ç µµÀÔÀº ¿¹Ãø ±â°£ µ¿¾È Å©°Ô Áõ°¡ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
- ¶ÇÇÑ, ÀÌ Áö¿ªÀº Ŭ¶ó¿ìµå ¼ºñ½º ¾ÖÇø®ÄÉÀ̼ÇÀÇ ¼±µÎÁÖÀÚÀ̱⵵ ÇÕ´Ï´Ù. µû¶ó¼ ÀÌ Áö¿ªÀÇ ºÐ¼® Á¦°ø¾÷üµéÀº Ŭ¶ó¿ìµå °ø°£¿¡¼ ÆÄÆ®³Ê½Ê°ú Çù¾÷À» ½ÃÀÛÇÔÀ¸·Î½á Çõ½ÅÀ» ÁÖµµÇÏ°í ÀÖ½À´Ï´Ù.
ÀÓº£µðµå ¾Ö³Î¸®Æ½½º »ê¾÷ °³¿ä
ÀÓº£µðµå ¾Ö³Î¸®Æ½½º ½ÃÀåÀº IBM Corporation, SAP SE, Microsoft Corporation°ú °°Àº ¼¼°è ±â¾÷ÀÇ Á¸Àç·Î ÀÎÇØ °æÀïÀÌ Ä¡¿ÇØÁö°í ÀÖ½À´Ï´Ù. ½ÅÈï±¹ÀÇ ¸¹Àº Áß¼Ò±â¾÷ÀÌ ÀüÅëÀûÀÎ ºñÁî´Ï½º ¸ðµ¨¿¡¼ ºñÁî´Ï½º ¸ðµ¨·Î ÀüȯÇÔ¿¡ µû¶ó ±â¾÷Àº °æÀï ¿ìÀ§¸¦ È®º¸Çϱâ À§ÇØ ½ÅÈï ½ÃÀåÀ» Ãß±¸ÇÏ°í ÀÖ½À´Ï´Ù. µðÁöÅÐ ¹× µ¥ÀÌÅÍ ±â¹ÝÀÔ´Ï´Ù.
- 2022³â 7¿ù - TIBCO ¼ÒÇÁÆ®¿þ¾î´Â ¾÷°è¿¡¼ ÀÎÁ¤¹Þ´Â TIBCO Ŭ¶ó¿ìµåÀÇ iPaaS ¼ºñ½ºÀÎ TIBCO Ŭ¶ó¿ìµå ÅëÇÕ(TIBCO Cloud Integration)ÀÇ ´ëÆøÀûÀÎ ±â´É °È¸¦ ¹ßÇ¥Çß½À´Ï´Ù. À̸¦ ÅëÇØ ÇÏÀ̺긮µå ȯ°æ Àü¹Ý¿¡ °ÉÃÄ ¾ÖÇø®ÄÉÀ̼Ç, µ¥ÀÌÅÍ ¹× µð¹ÙÀ̽º ÅëÇÕÀÇ °¡´É¼ºÀ» È®´ëÇÏ¿© ºÒ¾ÈÁ¤ÇÑ »óȲ¿¡ Á÷¸éÇÑ °í°´ÀÌ ºñÁî´Ï½º¸¦ °¡¼ÓÈÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. TIBCO Ŭ¶ó¿ìµå ÅëÇÕÀº ºñÁî´Ï½º ÇÁ·Î¼¼½º ÀÚµ¿È¿Í ±â¾÷ Àü¹ÝÀÇ µðÁöÅÐ ÀÚ»ê ÅëÇÕÀ» Å©°Ô °¡¼ÓÈÇÕ´Ï´Ù.
±âŸ ÇýÅÃ
- ¿¢¼¿ Çü½ÄÀÇ ½ÃÀå ¿¹Ãø(ME) ½ÃÆ®
- 3°³¿ù°£ ¾Ö³Î¸®½ºÆ® Áö¿ø
¸ñÂ÷
Á¦1Àå ¼·Ð
- Á¶»ç °¡Á¤°ú ½ÃÀå Á¤ÀÇ
- Á¶»ç ¹üÀ§
Á¦2Àå Á¶»ç ¹æ¹ý
Á¦3Àå ÁÖ¿ä ¿ä¾à
Á¦4Àå ½ÃÀå ÀλçÀÌÆ®
- ½ÃÀå °³¿ä
- ¾÷°èÀÇ ¸Å·Â - Porter's Five Forces ºÐ¼®
- °ø±Þ ±â¾÷ÀÇ ±³¼··Â
- ±¸¸ÅÀÚÀÇ ±³¼··Â
- ½Å±Ô Âü¿©¾÷üÀÇ À§Çù
- ´ëü Á¦Ç°ÀÇ À§Çù
- °æÀï ±â¾÷°£ °æÀï °µµ
- Å×Å©³î·¯Áö ÇöȲ
- COVID-19°¡ ¾÷°è¿¡ ¹ÌÄ¡´Â ¿µÇâ Æò°¡
Á¦5Àå ½ÃÀå ¿ªÇÐ
- ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
- ºñÁî´Ï½º µ¥ÀÌÅÍ °í±Þ ºÐ¼® ±â¼ú¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡
- µ¥ÀÌÅÍ µå¸®ºì Á¶Á÷ Áõ°¡
- ¸ð¹ÙÀÏ BI¿Í ºòµ¥ÀÌÅÍ ºÐ¼® ä¿ë Áõ°¡
- ¸ð¹ÙÀÏ µð¹ÙÀ̽º¿Í Ŭ¶ó¿ìµå ÄÄÇ»Æà Å×Å©³î·¯Áö ÀÌ¿ë Áõ°¡
- ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ
- ¶óÀ̼±½Ì °úÁ¦¿Í ±×¿¡ µû¸¥ ºñ¿ë Áõ°¡
Á¦6Àå ½ÃÀå ¼¼ºÐÈ
- ¼Ö·ç¼Çº°
- Á¶Á÷ ±Ô¸ðº°
- Àü°³º°
- ÃÖÁ¾ ÀÌ¿ë ¾÷°èº°
- BFSI
- IT¡¤Åë½Å
- ÇコÄɾî
- ¼Ò¸Å
- ¿¡³ÊÁö¿Í À¯Æ¿¸®Æ¼
- Á¦Á¶¾÷
- ±âŸ ÃÖÁ¾ ÀÌ¿ë ¾÷°è
- Áö¿ªº°
- ºÏ¹Ì
- À¯·´
- ¾Æ½Ã¾ÆÅÂÆò¾ç
- ¶óƾ¾Æ¸Þ¸®Ä«
- Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
Á¦7Àå °æÀï »óȲ
- ±â¾÷ °³¿ä
- IBM Corporation
- Microsoft Corporation
- SAP SE
- SAS Institute Inc.
- MicroStrategy Incorporated
- Oracle Corporation
- Tableau Software(Sales Force, Inc.)
- TIBCO Software, Inc.
- Birst, Inc.(Infor Inc.)
- Logi Analytics, Inc
- QlikTech International AB
- Sisense Inc.
- Information Builders, Inc.
- OpenText Corp.
- Yellowfin International Pty Ltd
- GoodData Corporation
- Izenda, Inc.
- Vertica Systems, Inc.(HPE)
- WNS Global Services SA(Pty) Ltd
- Exago, Inc.
Á¦8Àå ÅõÀÚ ºÐ¼®
Á¦9Àå ½ÃÀå Àü¸Á
ksm 24.03.18
The Embedded Analytics Market size is estimated at USD 68.88 billion in 2024, and is expected to reach USD 132.03 billion by 2029, growing at a CAGR of 13.90% during the forecast period (2024-2029).
Embedded analytics is a BI and analytics solution aimed at end users that are integrated into company software programs. Embedded analytics is a component of the intrinsic application rather than a platform-independent service. This study enables users to work with higher-quality data and generate reports quickly.
Key Highlights
- The primary factors driving the embedded analytics market are big data and the Internet of Things (IoT) expansion in businesses, the dependability of mobile devices and cloud technologies, and the rising demand for data analytics integration with business applications.
- In addition, the increase in volume and variety of data and the growing demand for IT systems for financial transactions in banks and other financial institutes are also driving the need for embedded analytics.
- An increase in big data applications would significantly contribute to the acceptance of embedded analytics. Thus, there has been consistent growth in big data and analytics solutions' revenue in recent years.
- However, high replacement costs and legacy systems are incompatible with new APIs, which increases the risk of data insufficiency, which is expected to hamper the market revenue growth during the forecast period.
- The market report finds that the COVID-19 pandemic created growth opportunities for the market as Online shopping, food ordering, and digitized payment methods provided a data pool to businesses. Embedded analytic tools provided companies with data trends and insights during COVID-19 through the generated digitized data, which boosted market growth.
Embedded Analytics Market Trends
Increasing Use of Mobile Devices and Cloud Computing Technologies to Witness Significant Growth
- To effectively use advanced business applications, cloud technologies and mobile devices are crucial. Mobile devices integrated with embedded analytics software support real-time data visualization.
- Increased use of cloud computing technology improves business operations and provides better insight into customer behavior, which is anticipated to drive market revenue growth.
- Additionally, the growing requirement for embedded analytics software will boost productivity, save operating expenses, and save time when reviewing data. The demand for embedded analytics software is anticipated to increase due to these reasons over the forecast period.
- Businesses can combine data and improve the comprehension of their data with the help of cloud computing. Through a cloud-based data warehouse, information may be instantly and securely accessible. Additionally, consolidation makes real-time prediction models possible through data analysis.
- Numerous businesses employ cloud business analytics because it provides scalable, elastic, and affordable infrastructure that doesn't require ongoing maintenance of internal infrastructure. The rising popularity of cloud computing pushes enterprises to develop a solid platform that can benefit both hosted and on-premise data.
North America is Expected to Hold Major Share
- The adoption of data modernization technologies across various end-user industries in the North America region is the highest, compared to other regions; it is the major factor driving the adoption of various analytical solutions, like embedded analytics in the region. The region maintains its position in the ICT industry, as it is home to many large corporations, such as Apple, Facebook, IBM, and Google.
- Moreover, The implementation of advanced technology, Increasing demand for Adequate technology infrastructure, the subsequent growth in the demand for embedded analytics tools, and the presence of a large number of enterprises across the region drive the Embedded Analytics software market to grow.
- Several end-user industries, like healthcare, BFSI, and manufacturing, among others, with significant adoption of analytics solutions, such as embedded analytics, hold a dominant position in the region. Hence, the adoption of embedded analytics solutions, in the region, is expected to grow significantly during the forecast period.
- Also, the region is a dominant player in the cloud services applications. Therefore, the analytics providers in the country are innovating by entering partnerships and collaborations in the caloud space.
Embedded Analytics Industry Overview
The embedded analytics market is highly competitive because of the the presence of global corporations like IBM Corporation, SAP SE,Microsoft Corporation, Companies pursue emerging markets to obtain competitive advantages since many small and medium-sized businesses in developing countries switch from traditional business models to digital and data-driven ones.
- July 2022 - TIBCO software has announced significant enhancements to TIBCO cloud integration, its industry-recognized iPaaS offering by TIBCO cloud, which expands the potential for integration of applications, data, and devices across hybrid environments, assisting customers grappling in a volatile to accelerate business outcomes. TIBCO Cloud Integration delivers remarkably faster automation of business processes and integration of digital assets across the enterprise.
Additional Benefits:
- The market estimate (ME) sheet in Excel format
- 3 months of analyst support
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 Study Assumptions and Market Definition
- 1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
- 4.1 Market Overview
- 4.2 Industry Attractiveness - Porter's Five Force Analysis
- 4.2.1 Bargaining Power of Suppliers
- 4.2.2 Bargaining Power of Buyers
- 4.2.3 Threat of New Entrants
- 4.2.4 Threat of Substitute Products
- 4.2.5 Intensity of Competitive Rivalry
- 4.3 Technology Snapshot
- 4.4 Assessment of Impact of COVID-19 on the Industry
5 MARKET DYNAMICS
- 5.1 Market Drivers
- 5.1.1 Increasing Demand for Advanced Analytical Techniques for Business Data
- 5.1.2 Increasing number of Data Driven Organizations
- 5.1.3 Increasing Adoption of Mobile BI and Big Data Analytics
- 5.1.4 Increasing Use of Mobile Devices and Cloud Computing Technologies
- 5.2 Market Restraints
- 5.2.1 Licensing Challenges and Higher Associated Costs
6 MARKET SEGMENTATION
- 6.1 By Solution
- 6.1.1 Software
- 6.1.2 Service
- 6.2 By Size of Organisation
- 6.2.1 Small and Medium Enterprises
- 6.2.2 Large Enterprises
- 6.3 By Deployment
- 6.3.1 Cloud
- 6.3.2 On-premise
- 6.4 By End-user Vertical
- 6.4.1 BFSI
- 6.4.2 IT and Telecommunication
- 6.4.3 Healthcare
- 6.4.4 Retail
- 6.4.5 Energy and Utilities
- 6.4.6 Manufacturing
- 6.4.7 Other End-user Verticals
- 6.5 By Geography
- 6.5.1 North America
- 6.5.2 Europe
- 6.5.3 Asia Pacific
- 6.5.4 Latin America
- 6.5.5 Middle East and Africa
7 COMPETITIVE LANDSCAPE
- 7.1 Company Profiles
- 7.1.1 IBM Corporation
- 7.1.2 Microsoft Corporation
- 7.1.3 SAP SE
- 7.1.4 SAS Institute Inc.
- 7.1.5 MicroStrategy Incorporated
- 7.1.6 Oracle Corporation
- 7.1.7 Tableau Software (Sales Force, Inc.)
- 7.1.8 TIBCO Software, Inc.
- 7.1.9 Birst, Inc. (Infor Inc.)
- 7.1.10 Logi Analytics, Inc
- 7.1.11 QlikTech International AB
- 7.1.12 Sisense Inc.
- 7.1.13 Information Builders, Inc.
- 7.1.14 OpenText Corp.
- 7.1.15 Yellowfin International Pty Ltd
- 7.1.16 GoodData Corporation
- 7.1.17 Izenda, Inc.
- 7.1.18 Vertica Systems, Inc. (HPE)
- 7.1.19 WNS Global Services SA (Pty) Ltd
- 7.1.20 Exago, Inc.
8 INVESTMENT ANALYSIS
9 FUTURE OF THE MARKET