½ÃÀ庸°í¼­
»óǰÄÚµå
1717979

À繫 ºÐ¼® ½ÃÀå : ±¸¼º¿ä¼Ò, ¿ëµµ, Àü°³ ¸ðµ¨, ±â¾÷ ±Ô¸ð, ÃÖÁ¾»ç¿ëÀÚº° - ¼¼°è ¿¹Ãø(2025-2030³â)

Financial Analytics Market by Component, Application, Deployment Model, Enterprise Size, End-user - Global Forecast 2025-2030

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: 360iResearch | ÆäÀÌÁö Á¤º¸: ¿µ¹® 188 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡á º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼ÛÀÏÁ¤Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

À繫 ºÐ¼® ½ÃÀåÀÇ 2023³â ½ÃÀå ±Ô¸ð´Â 544¾ï 5,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾úÀ¸¸ç, 2024³â¿¡´Â 603¾ï 7,000¸¸ ´Þ·¯, CAGR 11.19%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 1,144¾ï 4,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

ÁÖ¿ä ½ÃÀå Åë°è
±âÁØ ¿¬µµ 2023³â 544¾ï 5,000¸¸ ´Þ·¯
ÃßÁ¤ ¿¬µµ 2024³â 603¾ï 7,000¸¸ ´Þ·¯
¿¹Ãø ¿¬µµ 2030³â 1,144¾ï 4,000¸¸ ´Þ·¯
CAGR(%) 11.19%

ºü¸£°Ô ÁøÈ­ÇÏ´Â À繫 ºÐ¼®ÀÇ ¼¼°è¿¡¼­ ÇöÀç ½ÃÀåÀº ±â¼ú ¹ßÀü, ¿ªµ¿ÀûÀÎ »ê¾÷ ¼ö¿ä, ±ÔÁ¦ ¾Ð·ÂÀ¸·Î ÀÎÇØ Àü·Ê ¾ø´Â º¯È­¸¦ ¸ñ°ÝÇϰí ÀÖ½À´Ï´Ù. µðÁöÅÐ ÀüȯÀÌ ±ÝÀ¶ µ¥ÀÌÅ͸¦ ¼öÁý, ó¸®, ÇØ¼®ÇÏ´Â ¹æ½ÄÀ» À籸¼ºÇϰí ÀÖ´Â °¡¿îµ¥, ´Ù¾çÇÑ ºÐ¾ßÀÇ Á¶Á÷µéÀÌ ¼º°ú ÃÖÀûÈ­, ¼öÀͼº Çâ»ó, ¸®½ºÅ© °¨¼Ò¸¦ À§ÇØ µ¥ÀÌÅÍ ±â¹Ý ¼Ö·ç¼ÇÀ» äÅÃÇϰí ÀÖ½À´Ï´Ù. ÀÌ Á¾ÇÕÀûÀÎ °³¿ä´Â ÀÇ»ç°áÁ¤ÀÚµéÀÌ Ä¡¿­ÇÑ °æÀï ȯ°æ¿¡¼­ ÇÑ¹ß ¾Õ¼­ ³ª°¥ ¼ö ÀÖ´Â µµ±¸¸¦ °®Ãß±â À§ÇØ ÇÊ¿äÇÑ Àü·«Àû °í·Á»çÇ×À» Á¦°øÇÕ´Ï´Ù. ÀÌ ºÐ¼®Àº »õ·Î¿î ±â¼ú°ú ÀüÅëÀûÀÎ ±ÝÀ¶ ±â¹ýÀÇ À¶ÇÕÀ» ޱ¸ÇÔÀ¸·Î½á ¹Îø¼º, Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤, Áö¼ÓÀûÀÎ Çõ½ÅÀÇ Á߿伺À» °­Á¶ÇÕ´Ï´Ù. ¾÷¹« ÀýÂ÷¸¦ Ç¥ÁØÈ­Çϰí, µ¥ÀÌÅÍ Ã³¸®¸¦ °£¼ÒÈ­Çϸç, ºñÁî´Ï½º Àü·«ÀÇ ¿øµ¿·ÂÀÌ µÇ´Â ½Ç¿ëÀûÀÎ ÀλçÀÌÆ®¸¦ Á¦°øÇϱâ À§ÇÑ ³ë·ÂÀ» ÅëÇØ »óȲÀÌ ÀçÁ¤Àǵǰí ÀÖ½À´Ï´Ù. ÀÌ Ã¥Àº °í±Þ ºÐ¼®ÀÌ ¿î¿µ ¿ì¼ö¼ºÀ» ÃßÁøÇÏ´Â µ¥ ÀÖ¾î ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÏ´Â °Í¿¡ ÃÊÁ¡À» ¸ÂÃß°í, ½ÃÀå µ¿Çâ, ¼¼ºÐÈ­ ÇÁ·¹ÀÓ¿öÅ©, ¹Ì·¡ ¼ºÀå ±âȸ¸¦ Á¦½ÃÇÏ´Â ½Ç¿ëÀûÀÎ ±ÇÀå»çÇ×À» öÀúÇÏ°Ô Å½±¸ÇÏ´Â ÀåÀ» Á¦°øÇÕ´Ï´Ù.

ÀÌ·¯ÇÑ ¿ªµ¿ÀûÀΠȯ°æ¿¡¼­´Â µ¥ÀÌÅÍ ÇØ¼®ÀÇ Á¤È®¼º°ú ¼Óµµ°¡ °¡Àå Áß¿äÇÕ´Ï´Ù. Á¶Á÷Àº ½Ç½Ã°£ ÀλçÀÌÆ®¸¦ Á¦°øÇÒ »Ó¸¸ ¾Æ´Ï¶ó ·¹°Å½Ã ½Ã½ºÅÛ°ú ¿øÈ°ÇÏ°Ô ÅëÇյǴ »õ·Î¿î ÇÁ·¹ÀÓ¿öÅ©¸¦ äÅÃÇØ¾ß ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ º¯È­´Â ±ÝÀ¶ ¿µ¿ªÀÇ ¸ðµç Ãø¸é¿¡¼­ ¼º°ú ÃÖÀûÈ­¿Í ¸®½ºÅ©¿¡ ±â¹ÝÇÑ ÀÇ»ç°áÁ¤À» À§ÇÑ º¸´Ù ±¤¹üÀ§ÇÑ ¿òÁ÷ÀÓÀ» °­Á¶ÇÕ´Ï´Ù.

À繫 ºÐ¼®ÀÇ ¹Ì·¡¸¦ ¹Ù²Ù´Â Çõ½ÅÀû º¯È­

À繫 ºÐ¼®À» µÑ·¯½Ñ ȯ°æÀº ´Ü¼øÈ÷ ±âÁ¸ ½Ã½ºÅÛÀ» ¾÷±×·¹À̵åÇÏ´Â °ÍÀ» ³Ñ¾î Å©°Ô º¯È­Çϰí ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ, ÀΰøÁö´É, ¸Ó½Å·¯´×ÀÇ ±Þ¼ÓÇÑ µµÀÔÀ¸·Î ºÐ¼® ÇÁ·Î¼¼½º°¡ ÀçÁ¤Àǵǰí, ½Ç½Ã°£ ¿¹Ãø ºÐ¼®ÀÌ ºñÁî´Ï½º ÀÇ»ç°áÁ¤¿¡ ÇʼöÀûÀÎ ¿ä¼Ò·Î ÀÚ¸® Àâ°í ÀÖ½À´Ï´Ù. ±âÁ¸ÀÇ ¼±Çü ¸ðµ¨Àº ¹æ´ëÇÑ µ¥ÀÌÅÍ ½ºÆ®¸²À» Ȱ¿ëÇÏ¿© ³î¶ó¿î ¼Óµµ¿Í Á¤È®µµ·Î ÀλçÀÌÆ®¸¦ Á¦°øÇÏ´Â Á¤±³ÇÑ ½Ã½ºÅÛÀ¸·Î ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÁøÈ­´Â ÷´Ü µ¥ÀÌÅÍ ½Ã°¢È­ ±â¼ú°ú ÀÚµ¿È­µÈ ¸®Æ÷ÆÃ ÅøÀÇ ¿øÈ°ÇÑ ÅëÇÕÀ» ÅëÇØ Ãß¼¼¸¦ ÆÄ¾ÇÇÏ°í »õ·Î¿î À§Çè°ú ±âȸ¸¦ Æ÷ÂøÇÏ¿© »çÀü ¿¹¹æÀû ÀÇ»ç°áÁ¤À» Áö¿øÇÏ´Â µ¥ µµ¿òÀ» ÁÖ°í ÀÖ½À´Ï´Ù.

¶ÇÇÑ, ±ÔÁ¦ ´ç±¹ÀÇ °¨½Ã°¡ °­È­µÇ°í °­·ÂÇÑ ÄÄÇöóÀ̾𽺠ÇÁ·¹ÀÓ¿öÅ©ÀÇ Çʿ伺ÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ±â¾÷µéÀº ź·ÂÀûÀÎ IT ÀÎÇÁ¶ó¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù. ±× °á°ú, À繫 ºÐ¼®°ú ¸®½ºÅ© °ü¸®ÀÇ ÅëÇÕÀÌ ÃËÁøµÇ°í ÀÖ½À´Ï´Ù. ÃֽŠÇ÷§ÆûÀº À¯¿¬¼º°ú È®À强ÀÌ ¶Ù¾î³ª¸ç, ÇöÀç ½ÃÀåÀÇ ¿ä±¸¿Í ÇâÈÄ È®Àå °èȹ ¸ðµÎ¿¡ ´ëÀÀÇÒ ¼ö ÀÖµµ·Ï ¼³°èµÇ¾î ÀÖ½À´Ï´Ù. ±ÝÀ¶ ¾÷¹«¿¡ ÷´Ü ±â¼úÀ» µµÀÔÇÔÀ¸·Î½á ±â¾÷µéÀº ¾÷¹« È¿À²¼ºÀ» ³ôÀ̰í, ºñ¿ëÀ» Àý°¨Çϸç, °í°´ Âü¿© Àü·«À» ¹Ì¼¼ Á¶Á¤ÇÒ ¼ö ÀÖ½À´Ï´Ù. Àü¹ÝÀûÀ¸·Î ÀÌ °æÀï ȯ°æÀº ÀüÅëÀûÀÎ ±ÝÀ¶ °üÇà°ú ¼±±¸ÀûÀÎ ±â¼úÀÇ À¶ÇÕÀ¸·Î Ư¡Áö¾îÁö¸ç, ¿À´Ã³¯ÀÇ Ä¡¿­ÇÑ ½ÃÀå ¿ä±¸¿¡ ¸ÂÃç º¸´Ù ÅëÇÕÀûÀÌ°í ¹ÝÀÀ¼ºÀÌ ³ôÀº »ýŰ踦 À§ÇÑ ±æÀ» ¿­¾îÁÖ°í ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐÀ» ÃËÁøÇÏ´Â ½ÃÀå ¼¼ºÐÈ­¿¡ ´ëÇÑ ½ÉÃþÀûÀÎ ÀλçÀÌÆ®¸¦ Á¦°øÇÕ´Ï´Ù.

½ÃÀå ¼¼ºÐÈ­¸¦ ÀÚ¼¼È÷ ºÐ¼®Çϸé ÁýÁßµÈ Àü·«°ú ƯȭµÈ ¼­ºñ½º¸¦ ÃßÁøÇÏ´Â º¹ÀâÇÑ ÇÁ·¹ÀÓ¿öÅ©°¡ µå·¯³³´Ï´Ù. ½ÃÀåÀº ¼­ºñ½º¿Í ¼ÒÇÁÆ®¿þ¾î·Î ±¸ºÐµÇ´Â ±¸¼º¿ä¼ÒÀÇ Â÷º°È­¶ó´Â ·»Á ÅëÇØ Á¶»çµË´Ï´Ù. ¼­ºñ½º ºÎ¹® ³»¿¡¼­´Â °ü¸®Çü ¼­ºñ½º¿Í Àü¹® ¼­ºñ½º¸¦ ±¸ºÐÇÏ¿© °¢±â ´Ù¸¥ Á¶Á÷ ¿ä±¸»çÇ׿¡ ´ëÀÀÇÏ°í ¸ÂÃãÇü °¡Ä¡ Á¦¾ÈÀ» Á¦°øÇÑ´Ù´Â ºÐ¼®ÀÌ ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ÀÌ¿Í ÇÔ²² °í°´ ¼öÀͼº ºÐ¼®, À繫 ¿¹Ãø ¹× ¿¹»ê °ü¸®, ÅõÀÚ Æ÷Æ®Æú¸®¿À °ü¸®, ¸®½ºÅ© °ü¸® ¹× ÄÄÇöóÀ̾𽺠µîÀÇ ºÐ¾ß¿¡¼­ ½ÃÀåÀ» Æò°¡Çϱâ À§ÇØ ¾ÖÇø®ÄÉÀ̼ǿ¡ ÃÊÁ¡À» ¸ÂÃá ¼¼ºÐÈ­µµ ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¾ÖÇø®ÄÉÀ̼ǿ¡ ÃÊÁ¡À» ¸ÂÃá ºÎ¹®¿¡¼­´Â ºÐ¼® ¼Ö·ç¼ÇÀÌ ´Ù¾çÇÑ À繫Àû ¿ä±¸¿Í ±ÔÁ¦ »óȲ¿¡ ¾î¶»°Ô ´ëÀÀÇϰí ÀÖ´ÂÁö ÀÚ¼¼È÷ »ìÆìº¼ ¼ö ÀÖ½À´Ï´Ù.

¶Ç ´Ù¸¥ Áß¿äÇÑ Ãø¸éÀº Ŭ¶ó¿ìµå ±â¹Ý°ú ¿ÂÇÁ·¹¹Ì½º ¼Ö·ç¼ÇÀ» ±¸ºÐÇÏ´Â Àü°³ ¸ðµ¨ÀÔ´Ï´Ù. ÀÌ ±¸ºÐÀº È®À强, º¸¾È, ÅëÇÕ ±â´É¿¡ ´ëÇÑ Æ®·¹À̵å¿ÀÇÁ¸¦ ÀÌÇØÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. ¶ÇÇÑ, ±â¾÷ ±Ô¸ð´Â ½ÃÀå ¼¼ºÐÈ­¿¡¼­ Áß¿äÇÑ ¿ªÇÒÀ» Çϸç, ´ë±â¾÷°ú Áß¼Ò±â¾÷À» ±¸ºÐÇÏ¿© ±Ô¸ð¿¡ µû¶ó ´Ù¸¥ äÅ÷ü°ú ¸ÂÃãÈ­ ¿ä±¸ »çÇ×À» °­Á¶ÇÕ´Ï´Ù. ¸¶Áö¸·À¸·Î, ÃÖÁ¾»ç¿ëÀÚ ºÐ¼®Àº ÀºÇà, ±ÝÀ¶ ¼­ºñ½º ¹× º¸Çè, ¿¡³ÊÁö ¹× À¯Æ¿¸®Æ¼, Á¤ºÎ, ÀÇ·á ¹× Á¦¾à, IT ¹× Åë½Å, Á¦Á¶ ¹× ÀÚµ¿Â÷, ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ®, ¼Ò¸Å ¹× E-Commerce, ¿î¼Û ¹× ¹°·ù µî ´Ù¾çÇÑ »ê¾÷ ºÐ¾ß¿¡ °ÉÃÄ ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¾ÇÕÀûÀÎ ¼¼ºÐÈ­ ÇÁ·¹ÀÓ¿öÅ©´Â ¸ÂÃãÇü ºÐ¼® Àü·«°ú ½ÃÀå Æ¯È­ Á¦Ç° Á¦°øÀ» À§ÇÑ °­·ÂÇÑ ±â¹ÝÀ» ±¸ÃàÇÕ´Ï´Ù.

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ½ÃÀå °³¿ä

Á¦5Àå ½ÃÀå ÀλçÀÌÆ®

  • ½ÃÀå ¿ªÇÐ
    • ¼ºÀå ÃËÁø¿äÀÎ
    • ¼ºÀå ¾ïÁ¦¿äÀÎ
    • ±âȸ
    • ÇØ°áÇØ¾ß ÇÒ °úÁ¦
  • ½ÃÀå ¼¼ºÐÈ­ ºÐ¼®
  • Porter¡¯s Five Forces ºÐ¼®
  • PESTLE ºÐ¼®
    • Á¤Ä¡
    • °æÁ¦
    • »çȸ
    • ±â¼ú
    • ¹ý·ü
    • ȯ°æ

Á¦6Àå À繫 ºÐ¼® ½ÃÀå : ±¸¼º¿ä¼Òº°

  • ¼­ºñ½º
    • ¸Å´ÏÁöµå ¼­ºñ½º
    • Àü¹® ¼­ºñ½º
  • ¼ÒÇÁÆ®¿þ¾î

Á¦7Àå À繫 ºÐ¼® ½ÃÀå : ¿ëµµº°

  • °í°´ ¼öÀͼº ºÐ¼®
  • À繫 ¿¹Ãø°ú ¿¹»ê Æí¼º
  • ÅõÀÚ Æ÷Æ®Æú¸®¿À °ü¸®
  • ¸®½ºÅ© °ü¸®¿Í ÄÄÇöóÀ̾ð½º

Á¦8Àå À繫 ºÐ¼® ½ÃÀå : Àü°³ ¸ðµ¨º°

  • Ŭ¶ó¿ìµå
  • ¿ÂÇÁ·¹¹Ì½º

Á¦9Àå À繫 ºÐ¼® ½ÃÀå : ±â¾÷ ±Ô¸ðº°

  • ´ë±â¾÷
  • Áß¼Ò±â¾÷

Á¦10Àå À繫 ºÐ¼® ½ÃÀå : ÃÖÁ¾»ç¿ëÀÚº°

  • ÀºÇà, ±ÝÀ¶ ¼­ºñ½º, º¸Çè
  • ¿¡³ÊÁö¡¤À¯Æ¿¸®Æ¼
  • Á¤ºÎ
  • ÇコÄɾî¿Í ÀǾàǰ
  • IT¡¤Åë½Å
  • Á¦Á¶¾÷°ú ÀÚµ¿Â÷
  • ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ¼Ò¸Å¡¤E-Commerce
  • ¿î¼Û¡¤¹°·ù

Á¦11Àå ¾Æ¸Þ¸®Ä«ÀÇ À繫 ºÐ¼® ½ÃÀå

  • ¾Æ¸£ÇîÆ¼³ª
  • ºê¶óÁú
  • ij³ª´Ù
  • ¸ß½ÃÄÚ
  • ¹Ì±¹

Á¦12Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ À繫 ºÐ¼® ½ÃÀå

  • È£ÁÖ
  • Áß±¹
  • Àεµ
  • Àεµ³×½Ã¾Æ
  • ÀϺ»
  • ¸»·¹À̽þÆ
  • Çʸ®ÇÉ
  • ½Ì°¡Æ÷¸£
  • Çѱ¹
  • ´ë¸¸
  • ű¹
  • º£Æ®³²

Á¦13Àå À¯·´, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ À繫 ºÐ¼® ½ÃÀå

  • µ§¸¶Å©
  • ÀÌÁýÆ®
  • Çɶõµå
  • ÇÁ¶û½º
  • µ¶ÀÏ
  • À̽º¶ó¿¤
  • ÀÌÅ»¸®¾Æ
  • ³×´ú¶õµå
  • ³ªÀÌÁö¸®¾Æ
  • ³ë¸£¿þÀÌ
  • Æú¶õµå
  • īŸ¸£
  • ·¯½Ã¾Æ
  • »ç¿ìµð¾Æ¶óºñ¾Æ
  • ³²¾ÆÇÁ¸®Ä«°øÈ­±¹
  • ½ºÆäÀÎ
  • ½º¿þµ§
  • ½ºÀ§½º
  • Æ¢¸£Å°¿¹
  • ¾Æ¶ø¿¡¹Ì¸®Æ®
  • ¿µ±¹

Á¦14Àå °æÀï ±¸µµ

  • ½ÃÀå Á¡À¯À² ºÐ¼®, 2023
  • FPNV Æ÷Áö¼Å´× ¸ÅÆ®¸¯½º, 2023
  • °æÀï ½Ã³ª¸®¿À ºÐ¼®
  • Àü·« ºÐ¼®°ú Á¦¾È

±â¾÷ ¸®½ºÆ®

  • Accenture PLC
  • ActiveViam Inc.
  • Alteryx, Inc.
  • Amazon Web Services, Inc.
  • BlackRock, Inc.
  • Bud Financial Limited
  • Capgemini SE
  • Cloud Software Group, Inc.
  • Cube Planning, Inc.
  • Deloitte Touche Tohmatsu Limited
  • Deutsche Borse AG
  • Dobin Pte. Ltd.
  • Fair Isaac Corporation
  • Fidelity National Information Services, Inc.
  • Fiserv, Inc.
  • Fractal Analytics Inc.
  • IFS AB
  • Infor, Inc. by Koch Industries, Inc.
  • International Business Machines Corporation
  • Jedox GmbH
  • Jirav, Inc.
  • London Stock Exchange Group PLC
  • Microsoft Corporation
  • Moody's Corporation
  • Morningstar, Inc.
  • MSCI Inc.
  • Numerix LLC
  • Oracle Corporation
  • Palantir Technologies Inc.
  • QlikTech International AB
  • RIB Software GmbH
  • S&P Global Inc.
  • Salesforce, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Sisense Inc.
  • Teradata Corporation
  • TGG Management Company, Inc.
  • TransUnion
  • Verisk Analytics, Inc.
  • Zoho Corporation Pvt. Ltd.
ksm 25.05.20

The Financial Analytics Market was valued at USD 54.45 billion in 2023 and is projected to grow to USD 60.37 billion in 2024, with a CAGR of 11.19%, reaching USD 114.44 billion by 2030.

KEY MARKET STATISTICS
Base Year [2023] USD 54.45 billion
Estimated Year [2024] USD 60.37 billion
Forecast Year [2030] USD 114.44 billion
CAGR (%) 11.19%

In the rapidly evolving world of financial analytics, the current market is witnessing an unprecedented shift driven by technological advancements, dynamic industry demands, and regulatory pressures. As digital transformation reshapes how financial data is collected, processed, and interpreted, organizations across various sectors have embraced data-driven solutions to optimize performance, enhance profitability, and mitigate risk. This comprehensive overview provides strategic insights intended to equip decision-makers with the necessary tools to stay ahead in an increasingly competitive environment. By delving into the convergence of emerging technologies and traditional financial methodologies, this analysis underlines the importance of agility, informed decision-making, and continuous innovation. The landscape is being redefined through efforts to standardize operational procedures, streamline data processing, and deliver actionable insights that power business strategies. Emphasizing the pivotal role of advanced analytics in driving operational excellence, the narrative sets the stage for an in-depth exploration of market trends, segmentation frameworks, and actionable recommendations that outline future growth opportunities.

In this dynamic environment, precision and speed in data interpretation are paramount. Organizations are expected to adopt new frameworks that not only enable real-time insights but also integrate seamlessly with legacy systems. These shifts underscore a broader movement toward performance optimization and risk-aware decision-making in every facet of the financial realm.

Transformative Shifts Reshaping the Financial Analytics Landscape

The financial analytics landscape is undergoing transformative shifts that extend far beyond merely upgrading existing systems. The rapid adoption of cloud computing, artificial intelligence, and machine learning is redefining analytical processes, making real-time predictive analysis an integral part of business decision-making. Traditional linear models are evolving into sophisticated systems that harness vast streams of data to generate insights with impressive speed and accuracy. This evolution is facilitated by the seamless integration of advanced data visualization techniques and automated reporting tools, which support proactive decision-making by illuminating trends and pointing out emerging risks and opportunities.

In addition, increased regulatory scrutiny and the need for robust compliance frameworks are encouraging businesses to adopt resilient IT infrastructures. This, in turn, promotes a convergence of financial analytics with risk management practices. Modern platforms are designed to be flexible and scalable, addressing both current market demands and future expansion plans. The infusion of cutting-edge technology into financial operations has enabled companies to improve operational efficiency, reduce costs, and fine-tune customer engagement strategies. Overall, this landscape is characterized by a blend of traditional financial practices and pioneering technologies, paving the way for more integrated and responsive ecosystems that are tailored to the needs of today's highly competitive market.

In-depth Segmentation Insights Driving Market Dynamics

An in-depth analysis of market segmentation reveals a complex framework that drives focused strategies and specialized offerings. The market is examined through the lens of component differentiation where the study is split between services and software. Within the services segment, there is a further analysis that distinguishes between managed services and professional services, each addressing distinct organizational requirements and delivering tailored value propositions. A parallel dimension of segmentation focuses on applications, with the market evaluated across areas involving customer profitability analysis, financial forecasting and budgeting, investment portfolio management, and risk management & compliance. These application-focused segments provide a granular view of how analytics solutions cater to varying financial imperatives and regulatory landscapes.

Another vital dimension considered is the deployment model, which differentiates between cloud-based and on-premise solutions. This segmentation helps in understanding the trade-offs related to scalability, security, and integration capabilities. Furthermore, enterprise size plays a crucial role in market segmentation, distinguishing large enterprises from small and medium-sized businesses, thus highlighting the varied adoption rates and customization needs across different scales. Finally, the end-user analysis spans diverse industries such as banking, financial services & insurance, energy & utilities, government, healthcare & pharmaceutical, IT & telecom, manufacturing & automotive, media & entertainment, retail & eCommerce, and transportation & logistics. This comprehensive segmentation framework establishes a strong foundation for tailored analytics strategies and market-specific product offerings.

Based on Component, market is studied across Services and Software. The Services is further studied across Managed Services and Professional Services.

Based on Application, market is studied across Customer Profitability Analysis, Financial Forecasting & Budgeting, Investment Portfolio Management, and Risk Management & Compliance.

Based on Deployment Model, market is studied across Cloud and On-Premise.

Based on Enterprise Size, market is studied across Large Enterprises and SMEs.

Based on End-user, market is studied across Banking, Financial Services, & Insurance, Energy & Utilities, Government, Healthcare & Pharmaceutical, IT & Telecom, Manufacturing & Automotive, Media & Entertainment, Retail & eCommerce, and Transportation & Logistics.

Regional Trends and Market Performance Overview

Geographical analysis offers critical insights that illuminate the unique market dynamics across various regions. The Americas is characterized by a highly developed financial infrastructure and robust technological adoption, driving significant demand for advanced analytics solutions. In Europe, Middle East & Africa, market progression is marked by systematic regulatory reforms and considerable investments aimed at modernizing legacy systems, which in turn stimulate a gradual but steady adaptation of cutting-edge analytics. Meanwhile, the Asia-Pacific region is witnessing vibrant growth spurred by rapid urbanization, revolutionary digital innovations, and expanding financial markets.

Each region presents its own set of opportunities and challenges, shaped by local economic trends, regulatory conditions, and infrastructural maturity. These regional nuances provide essential context for businesses seeking to tailor their strategies to local market conditions, ensuring that analytics tools are implemented in ways that meet both global standards and specific regional needs. This balanced regional perspective not only highlights the diversity of market maturity but also the strategic imperatives that influence investment decisions and technology adoption on a global scale.

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.

Leading Companies Shaping the Financial Analytics Ecosystem

A review of key industry players reveals a competitive ecosystem that is both dynamic and collaborative. Major organizations such as Accenture PLC and Amazon Web Services, Inc. form the backbone of the market, driving innovation and setting high benchmarks for performance and service reliability. Collaborative pioneers like ActiveViam Inc. and Alteryx, Inc. have carved out niches by designing scalable analytics platforms that empower businesses to transform raw data into actionable intelligence. Meanwhile, specialized entities including Cloud Software Group, Inc. and Cube Planning, Inc. offer intuitive solutions that bridge the gap between complex data environments and actionable insights.

Prominent firms like Deloitte Touche Tohmatsu Limited and Deutsche Borse AG contribute an unrivaled depth of knowledge in financial consulting and operational efficiency, reinforcing the strategic importance of integrated market insights. Additional players such as BlackRock, Inc., Bud Financial Limited, Capgemini SE, and Dobin Pte. Ltd. have significantly invested in research and development to accelerate the evolution of analytics capabilities. Innovators like Fair Isaac Corporation, Fidelity National Information Services, Inc., Fiserv, Inc., and Fractal Analytics Inc. continue to refine their offerings to meet emerging market demands.

The ecosystem further includes specialized organizations such as IFS AB, Infor, Inc. by Koch Industries, Inc., International Business Machines Corporation, and Jedox GmbH, which deliver bespoke solutions in sync with evolving technological trends. This mix is complemented by forward-thinking entities like Jirav, Inc., London Stock Exchange Group PLC, Microsoft Corporation, and Moody's Corporation, all of which significantly influence market trends. Emerging market influencers, including Morningstar, Inc., MSCI Inc., Numerix LLC, Oracle Corporation, Palantir Technologies Inc., and QlikTech International AB, consistently push the envelope on innovation. Also, the strategic roles played by RIB Software GmbH, S&P Global Inc., Salesforce, Inc., SAP SE, SAS Institute Inc., Sisense Inc., Teradata Corporation, TGG Management Company, Inc., TransUnion, Verisk Analytics, Inc., and Zoho Corporation Pvt. Ltd. exemplify the broad commitment to enhancing service delivery, thereby reinforcing overall market robustness.

The report delves into recent significant developments in the Financial Analytics Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, ActiveViam Inc., Alteryx, Inc., Amazon Web Services, Inc., BlackRock, Inc., Bud Financial Limited, Capgemini SE, Cloud Software Group, Inc., Cube Planning, Inc., Deloitte Touche Tohmatsu Limited, Deutsche Borse AG, Dobin Pte. Ltd., Fair Isaac Corporation, Fidelity National Information Services, Inc., Fiserv, Inc., Fractal Analytics Inc., IFS AB, Infor, Inc. by Koch Industries, Inc., International Business Machines Corporation, Jedox GmbH, Jirav, Inc., London Stock Exchange Group PLC, Microsoft Corporation, Moody's Corporation, Morningstar, Inc., MSCI Inc., Numerix LLC, Oracle Corporation, Palantir Technologies Inc., QlikTech International AB, RIB Software GmbH, S&P Global Inc., Salesforce, Inc., SAP SE, SAS Institute Inc., Sisense Inc., Teradata Corporation, TGG Management Company, Inc., TransUnion, Verisk Analytics, Inc., and Zoho Corporation Pvt. Ltd.. Strategic Recommendations for Navigating Market Challenges and Opportunities

In light of evolving market dynamics, industry leaders are encouraged to embrace a multifaceted approach to secure their competitive advantage. A key recommendation is to invest in scalable technology solutions that streamline operations while enhancing data-driven decision-making. It is imperative to integrate analytics platforms that bridge cloud-based innovations with traditional on-premise infrastructures, ensuring enhanced interoperability and security. Leaders are also advised to align their market strategies with the detailed segmentation insights and regional nuances that drive customer needs and operational challenges. Emphasizing continuous professional development and forging strategic partnerships can further enhance innovation and boost market responsiveness. This comprehensive strategy will not only mitigate immediate challenges but also position organizations to capitalize on long-term growth opportunities in a rapidly evolving market.

Concluding Reflections on the Financial Analytics Market

This overview encapsulates the transformative nature of the financial analytics market, where technology and innovation converge to redefine industry standards. The complex interplay of advanced analytics, detailed segmentation, and geographical diversification illustrates the depth and breadth of the market's evolution. As organizations continue to integrate cutting-edge solutions with traditional financial practices, the resultant synergy paves the way for improved efficiency, better risk management, and a more agile response to market fluctuations.

The analysis highlights the importance of understanding multifaceted market segments and regional variations, while also recognizing the significant influence of leading industry players. Collectively, these elements underscore a clear call for adaptable strategies that harness the potential of advanced data analytics to sustain competitive edge and operational excellence. Ultimately, this synthesis provides not only a reflective summary of current trends but also a roadmap for future growth and innovation.

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. The increasing complexity of financial markets with the rising need for real-time data analysis
      • 5.1.1.2. Rising potential with the surge in data generation from digital transactions
    • 5.1.2. Restraints
      • 5.1.2.1. High cost of implementing financial analytics solutions
    • 5.1.3. Opportunities
      • 5.1.3.1. Integration of blockchain technology in financial analytics solutions
      • 5.1.3.2. Increasing availability of regulatory standards and compliance for the management of financial management
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns regarding data privacy and security with the usage of financial analytics solutions
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Component: Increasing significance of financial analytics services owing to ease of maintenance and quicker deployment
    • 5.2.2. Enterprise Size: Rising incorporation of cloud-based financial analytics in large enterprises due to the scalability and cost-effectiveness of solutions
    • 5.2.3. Application: Rising application of financial forecasting and budgeting owing to the maintenance of fiscal discipline
    • 5.2.4. Enterprise Size: Extending usage of financial analytics services in large enterprises due to
    • 5.2.5. End-user: Higher deployment of financial analytics in healthcare & pharmaceutical sector due to cost optimization and risk management
  • 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. Financial Analytics Market, by Component

  • 6.1. Introduction
  • 6.2. Services
    • 6.2.1. Managed Services
    • 6.2.2. Professional Services
  • 6.3. Software

7. Financial Analytics Market, by Application

  • 7.1. Introduction
  • 7.2. Customer Profitability Analysis
  • 7.3. Financial Forecasting & Budgeting
  • 7.4. Investment Portfolio Management
  • 7.5. Risk Management & Compliance

8. Financial Analytics Market, by Deployment Model

  • 8.1. Introduction
  • 8.2. Cloud
  • 8.3. On-Premise

9. Financial Analytics Market, by Enterprise Size

  • 9.1. Introduction
  • 9.2. Large Enterprises
  • 9.3. SMEs

10. Financial Analytics Market, by End-user

  • 10.1. Introduction
  • 10.2. Banking, Financial Services, & Insurance
  • 10.3. Energy & Utilities
  • 10.4. Government
  • 10.5. Healthcare & Pharmaceutical
  • 10.6. IT & Telecom
  • 10.7. Manufacturing & Automotive
  • 10.8. Media & Entertainment
  • 10.9. Retail & eCommerce
  • 10.10. Transportation & Logistics

11. Americas Financial Analytics Market

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

12. Asia-Pacific Financial 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 Financial 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
    • 14.3.1. Moneyhub and Teradata collaborate to enhance customer experiences with scalable financial AI
    • 14.3.2. FIS unveils embedded finance platform to empower financial institutions and businesses
    • 14.3.3. Ocrolus and Envestnet | Yodlee collaborate to improve financial statement upload capabilities
    • 14.3.4. Nordic Capital acquires majority stake in financial analytics provider ActiveViam
    • 14.3.5. PowerSchool acquires Allovue to enhance K-12 financial budgeting and data analytics solutions
    • 14.3.6. Goldman Sachs unveils Marquee MarketView for advanced financial analytics
    • 14.3.7. Google LLC and Moody's Corporation collaborate to revolutionize financial analysis through AI integration
    • 14.3.8. Dobin introduces AI-powered FinTech solution to revolutionize financial analytics
    • 14.3.9. Moody's Corporation and Microsoft Corporation partner to enhance risk data analytics with generative AI
    • 14.3.10. Accenture PLC to Invest USD 3 billion in AI to bolster client innovation and efficiency
  • 14.4. Strategy Analysis & Recommendation
    • 14.4.1. Deloitte Touche Tohmatsu Limited
    • 14.4.2. Alteryx, Inc.
    • 14.4.3. QlikTech International AB
    • 14.4.4. Accenture PLC

Companies Mentioned

  • 1. Accenture PLC
  • 2. ActiveViam Inc.
  • 3. Alteryx, Inc.
  • 4. Amazon Web Services, Inc.
  • 5. BlackRock, Inc.
  • 6. Bud Financial Limited
  • 7. Capgemini SE
  • 8. Cloud Software Group, Inc.
  • 9. Cube Planning, Inc.
  • 10. Deloitte Touche Tohmatsu Limited
  • 11. Deutsche Borse AG
  • 12. Dobin Pte. Ltd.
  • 13. Fair Isaac Corporation
  • 14. Fidelity National Information Services, Inc.
  • 15. Fiserv, Inc.
  • 16. Fractal Analytics Inc.
  • 17. IFS AB
  • 18. Infor, Inc. by Koch Industries, Inc.
  • 19. International Business Machines Corporation
  • 20. Jedox GmbH
  • 21. Jirav, Inc.
  • 22. London Stock Exchange Group PLC
  • 23. Microsoft Corporation
  • 24. Moody's Corporation
  • 25. Morningstar, Inc.
  • 26. MSCI Inc.
  • 27. Numerix LLC
  • 28. Oracle Corporation
  • 29. Palantir Technologies Inc.
  • 30. QlikTech International AB
  • 31. RIB Software GmbH
  • 32. S&P Global Inc.
  • 33. Salesforce, Inc.
  • 34. SAP SE
  • 35. SAS Institute Inc.
  • 36. Sisense Inc.
  • 37. Teradata Corporation
  • 38. TGG Management Company, Inc.
  • 39. TransUnion
  • 40. Verisk Analytics, Inc.
  • 41. Zoho Corporation Pvt. Ltd.
»ùÇà ¿äû ¸ñ·Ï
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
¸ñ·Ï º¸±â
Àüü»èÁ¦