¼¼°èÀÇ ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå ¹× ¿¹Ãø(-2034³â) : À¯Çü, Á¦Ç°, ¼­ºñ½º, ±â¼ú, ÄÄÆ÷³ÍÆ®, ¿ëµµ, Àü°³, ÃÖÁ¾»ç¿ëÀÚ
Predictive Analytics in Healthcare Market Analysis and Forecast to 2034: Type, Product, Services, Technology, Component, Application, Deployment, End User
»óǰÄÚµå : 1762190
¸®¼­Ä¡»ç : Global Insight Services LLC
¹ßÇàÀÏ : 2025³â 07¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 436 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,750 £Ü 6,582,000
Single User License help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇϸç, Àμâ´Â °¡´ÉÇÕ´Ï´Ù.
US $ 5,750 £Ü 7,968,000
Site License help
PDF, Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷(±¹°¡)ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 6,750 £Ü 9,354,000
Enterprise License help
PDF, Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ Àü ¼¼°è ¸ðµçºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. ÅØ½ºÆ®ÀÇ Copy & Paste °¡´ÉÇÕ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


Çѱ۸ñÂ÷

ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀåÀº 2024³â 177¾ï ´Þ·¯¿¡¼­ 2034³â±îÁö ¾à 21.1%ÀÇ ¿¬Æò±Õ º¹ÇÕ ¼ºÀå·ü(CAGR)·Î 2034³â±îÁö 1,193¾ï ´Þ·¯·Î È®´ëµÉ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå¿¡´Â µ¥ÀÌÅÍ ¸¶ÀÌ´×, Åë°è ¾Ë°í¸®Áò, ¸Ó½Å·¯´×À» Ȱ¿ëÇÏ¿© ÇコÄÉ¾î °á°ú¿Í Ãß¼¼¸¦ ¿¹ÃøÇÏ´Â ¼Ö·ç¼ÇÀÌ Æ÷ÇԵ˴ϴÙ. ÀÌ·¯ÇÑ ºÐ¼®Àº Áúº´ ¿¹Ãø, ȯÀÚ °ü¸®, ¾÷¹« È¿À²È­¸¦ Áö¿øÇϰí ÀÓ»óÀû ÀÇ»ç°áÁ¤À» °­È­ÇÕ´Ï´Ù. ÇコÄÉ¾î µ¥ÀÌÅÍ ¾ç Áõ°¡¿Í ºñ¿ë Àý°¨ÀÇ Çʿ伺ÀÌ ½ÃÀå ¼ºÀåÀÇ ¿øµ¿·ÂÀÌ µÇ°í ÀÖÀ¸¸ç, ½Ç½Ã°£ ºÐ¼®°ú °³ÀÎÈ­µÈ ÀÇ·áÀÇ Çõ½ÅÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

»ê¾÷ °³¿ä

ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀåÀº ¼¼°è °ü¼¼, ÁöÁ¤ÇÐÀû ¸®½ºÅ©, ÁøÈ­ÇÏ´Â °ø±Þ¸Á ¿ªÇп¡ Å« ¿µÇâÀ» ¹Þ°í ÀÖ½À´Ï´Ù. ÀϺ»°ú Çѱ¹¿¡¼­´Â ¹«¿ª ¸¶Âû ¼Ó¿¡¼­ ÇコÄÉ¾î µ¥ÀÌÅÍ ÀÎÇÁ¶ó °­È­¿¡ ÁßÁ¡À» µÎ°í ÇöÁö ºÐ¼® ¼Ö·ç¼Ç¿¡ ´ëÇÑ ÅõÀÚ°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. Áß±¹Àº ÀÚ±ÞÀÚÁ· Àü·«À» ÃßÁøÇϰí ÀÖÀ¸¸ç, ¿Ü±¹ ±â¼ú¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ³·Ãß±â À§ÇØ ¿¹Ãø ºÐ¼®ÀÇ ±¹³» Çõ½ÅÀ» ¿ì¼±½ÃÇϰí ÀÖ½À´Ï´Ù. ¹ÝµµÃ¼ »ý»ê¿¡¼­ Áß¿äÇÑ À§Ä¡¸¦ Â÷ÁöÇϰí ÀÖ´Â ´ë¸¸Àº ÁöÁ¤ÇÐÀû ¹Î°¨¼ºÀ» ±Øº¹Çϸ鼭 ÇコÄÉ¾î ºÐ¼® ¿ª·®À» °­È­Çϰí ÀÖ½À´Ï´Ù. ÇコÄÉ¾î ºÐ¼® ½ÃÀåÀº Á¤¹ÐÀÇ·á¿Í °³ÀÎ ¸ÂÃãÇü ÀÇ·á ¼ö¿ä¿¡ ÈûÀÔ¾î Àü ¼¼°èÀûÀ¸·Î °ßÁ¶ÇÑ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖÀ¸¸ç, 2035³â±îÁö ±â¼ú ¹ßÀü°ú Àü·«Àû Á¦ÈÞ¸¦ ÅëÇØ ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. Áßµ¿ÀÇ ºÐÀïÀº ¿¡³ÊÁö °ø±ÞÀ» ¹æÇØÇÏ°í °£Á¢ÀûÀ¸·Î ¼¼°è °ø±Þ¸Á°ú ÇコÄÉ¾î ºÐ¾ßÀÇ ¿î¿µ ºñ¿ë¿¡ ¿µÇâÀ» ¹ÌÄ¥ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¼¼ºÐÈ­
À¯Çü ¿¹Ãø ¸®½ºÅ© ½ºÄھ, À繫 ºÐ¼®, ¿ÀÆÛ·¹ÀÌ¼Ç °ü¸®, Áý´Ü°Ç°­°ü¸®, ÀÓ»ó µ¥ÀÌÅÍ ºÐ¼®, ȯÀÚ µ¥ÀÌÅÍ °ü¸®
Á¦Ç° ¼ÒÇÁÆ®¿þ¾î, Çϵå¿þ¾î, ÅëÇÕ ¼Ö·ç¼Ç
¼­ºñ½º ÄÁ¼³ÆÃ ¼­ºñ½º, ÀÓÇø®¸àÅ×ÀÌ¼Ç ¼­ºñ½º, Áö¿ø ¹× À¯Áö°ü¸®, Æ®·¹ÀÌ´× ¹× ±³À°
±â¼ú ¸Ó½Å·¯´×, ÀÚ¿¬¾ð¾îó¸®, ºòµ¥ÀÌÅÍ ºÐ¼®, ÀΰøÁö´É, µ¥ÀÌÅÍ ¸¶ÀÌ´×
ÄÄÆ÷³ÍÆ® µ¥ÀÌÅÍ °ü¸®, µ¥ÀÌÅÍ ÅëÇÕ, µ¥ÀÌÅÍ ºÐ¼®
¿ëµµ Áúº´ ¿¹¹æ, º´¿ø ÀçÀÔ¿ø, ¸¸¼ºÁúȯ °ü¸®, ¾÷¹« È¿À²È­, ȯÀÚ Âü¿©, ÀÓ»ó ¿öÅ©ÇÃ·Î¿ì °ü¸®
Àü°³ Ŭ¶ó¿ìµå ±â¹Ý, On-Premise, ÇÏÀ̺긮µå
ÃÖÁ¾»ç¿ëÀÚ ÀÇ·á Á¦°øÀÚ, ÀÇ·áºñ ÁöºÒÀÚ, Á¦¾àȸ»ç, ¹ÙÀÌ¿ÀÅ×Å©³î·¯Áö ±â¾÷, ¿¬±¸±â°ü

½ÃÀå °³¿ä:

ÇコÄÉ¾î ºÐ¾ßÀÇ ¿¹Ãø ºÐ¼® ½ÃÀåÀº È¿À²ÀûÀΠȯÀÚ °ü¸®¿Í °³ÀÎ ¸ÂÃãÇü ÀÇ·á¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡·Î ÀÎÇØ °­·ÂÇÑ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. ȯÀÚ °ü¸® ºÐ¾ß´Â Áúº´ ÁøÇà ¹× Ä¡·á °á°ú ¿¹Ãø ¸ðµ¨¸µÀ» ÅëÇØ ȯÀÚ Ä¡·á¸¦ °­È­ÇÏ´Â µ¥ ÀÖ¾î ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» Çϱ⠶§¹®¿¡ ½ÃÀåÀÇ ÁÖ¿ä ºÎ¹®À¸·Î ºÎ»óÇϰí ÀÖ½À´Ï´Ù. ÀÌ ºÐ¾ß´Â ÀüÀÚÀǹ«±â·Ï(EHR)ÀÇ ÅëÇÕ°ú ¿¹Ãø Á¤È®µµ¸¦ Å©°Ô Çâ»ó½ÃŰ´Â ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀÇ Ã¤ÅÃÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ±× ¿ìÀ§¸¦ Á¡Çϰí ÀÖ½À´Ï´Ù. À¯Àüü ºÐ¼® ¹× ½Ç½Ã°£ ¸ð´ÏÅ͸µ°ú °°Àº »õ·Î¿î ÇÏÀ§ ºÎ¹®ÀÌ ÁÖµµÇϰí ÀÖÀ¸¸ç, Á¤¹ÐÀÇ·á ¹× ¿¹¹æÀû ÀÇ·á °³ÀÔÀ» °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á º¯È­ÀÇ °¡´É¼ºÀ» Á¦°øÇÕ´Ï´Ù. ƯÈ÷ À¯Àüü ºÐ¼®Àº À¯ÀüÀÚ Á¤º¸¸¦ Ȱ¿ëÇÏ¿© Áúº´¿¡ °É¸± È®·üÀ» ¿¹ÃøÇÏ°í ¾à¹° ¹ÝÀÀÀ» ¿¹ÃøÇÔÀ¸·Î½á °³ÀÎ ¸ÂÃãÇü Ä¡·á °èȹ¿¡ Çõ¸íÀ» ÀÏÀ¸Å³ ż¼¸¦ °®Ãß°í ÀÖ½À´Ï´Ù. ÇÑÆí, ½Ç½Ã°£ ¸ð´ÏÅ͸µÀº Áö¼ÓÀûÀÎ °Ç°­ ÅëÂû·ÂÀ» Á¦°øÇÔÀ¸·Î½á ¸¸¼ºÁúȯ °ü¸®¸¦ °­È­Çϰí, º´¿ø ÀçÀÔ¿øÀ» ÁÙ¿© ÀÇ·á Àü¹ÝÀÇ È¿À²¼ºÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù.

°æÀï °³¿ä:

ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀåÀº ÁÖ·Î ¼ÒÇÁÆ®¿þ¾î ¼Ö·ç¼ÇÀÌ ÁÖµµÇϰí ÀÖÀ¸¸ç, ¼­ºñ½º ¹× Çϵå¿þ¾î ±¸¼º¿ä¼Ò°¡ ±Ù¼ÒÇÑ Â÷ÀÌ·Î ±× µÚ¸¦ ÀÕ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ °èÃþ ±¸Á¶´Â ¹æ´ëÇÑ ÇコÄÉ¾î µ¥ÀÌÅ͸¦ È¿°úÀûÀ¸·Î Ȱ¿ëÇÏ¿© ½Ç¿ëÀûÀÎ ÀλçÀÌÆ®¸¦ µµÃâÇÒ ¼ö ÀÖ´Â °í±Þ µ¥ÀÌÅÍ ºÐ¼® Ç÷§Æû¿¡ ´ëÇÑ ¼ö¿ä°¡ ±ÞÁõÇϰí ÀÖ´Â °Í¿¡ ¿µÇâÀ» ¹Þ°í ÀÖ½À´Ï´Ù. ºÏ¹Ì´Â ÷´Ü ÇコÄɾî ÀÎÇÁ¶ó¿Í ±â¼ú ÅëÇÕ¿¡ ´ëÇÑ Àû±ØÀûÀÎ ÀÚ¼¼·Î ÀÎÇØ ÀÌ·¯ÇÑ Ã¤ÅÃÀÇ ÃÖÀü¼±¿¡ ¼­ ÀÖ½À´Ï´Ù. ¹Ý¸é, ¾Æ½Ã¾ÆÅÂÆò¾ç¿¡¼­´Â ȯÀÚ Ä¡·á ¹× ¿î¿µ È¿À²¼º Çâ»ó¿¡ ÀÖ¾î ¿¹Ãø ºÐ¼®ÀÇ ÀÌÁ¡¿¡ ´ëÇÑ ÀνÄÀÌ ³ô¾ÆÁö¸é¼­ ÅõÀÚ°¡ ±ÞÁõÇϰí ÀÖ½À´Ï´Ù. ¾÷°è ÁÖ¿ä ±â¾÷µéÀº ½ÃÀå¿¡¼­ÀÇ ÀÔÁö¸¦ È®´ëÇϱâ À§ÇØ ±â¼ú Çõ½Å°ú Àü·«Àû ÆÄÆ®³Ê½Ê¿¡ ÁýÁßÇϰí ÀÖ½À´Ï´Ù. ƯÈ÷ ºÏ¹Ì¿Í À¯·´ÀÇ ±ÔÁ¦ ÇÁ·¹ÀÓ¿öÅ©´Â ½ÃÀå ¿ªÇÐÀ» Çü¼ºÇϰí, µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã¸¦ º¸ÀåÇϸç, Çõ½ÅÀ» ÃËÁøÇÏ´Â µ¥ ÀÖ¾î ¸Å¿ì Áß¿äÇÕ´Ï´Ù. ÀΰøÁö´É°ú ¸Ó½Å·¯´×ÀÇ ¹ßÀü¿¡ ÈûÀÔ¾î ¿¹Ãø ºÐ¼® µµ±¸°¡ Å©°Ô È®»êµÉ °ÍÀ¸·Î ¿¹»óµÇ´Â µî ½ÃÀåÀÇ ¹Ì·¡ ±Ëµµ´Â ³«°üÀûÀÔ´Ï´Ù. ±×·¯³ª µ¥ÀÌÅÍ º¸¾È¿¡ ´ëÇÑ ¿ì·Á¿Í ³ôÀº µµÀÔ ºñ¿ë µîÀÇ °úÁ¦´Â ¿©ÀüÈ÷ ³²¾ÆÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Àå¾Ö¹°¿¡µµ ºÒ±¸Çϰí, ȯÀÚ °á°ú °³¼±°ú ºñ¿ë È¿À²È­ °¡´É¼ºÀº ÀÌ ºÐ¾ß¿¡ ´ëÇÑ Áö¼ÓÀûÀÎ ÅõÀÚ¿Í °³¹ß¿¡ ´ëÇÑ ¼³µæ·Â ÀÖ´Â »ç·Ê¸¦ Á¦½ÃÇϰí ÀÖ½À´Ï´Ù.

ÁÖ¿ä Æ®·»µå¿Í ÃËÁø¿äÀÎ:

ÇコÄÉ¾î ºÐ¾ßÀÇ ¿¹Ãø ºÐ¼® ½ÃÀåÀº °³ÀÎÈ­µÈ ÀÇ·á¿Í ȯÀÚ °á°ú °³¼±¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ÈûÀÔ¾î °­·ÂÇÑ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. ÁÖ¿ä µ¿ÇâÀ¸·Î´Â ÀΰøÁö´É°ú ¸Ó½Å·¯´× ¾Ë°í¸®ÁòÀÇ ÅëÇÕÀ» ÅëÇØ ¿¹Ãø Á¤È®µµ¸¦ ³ôÀ̰í ÀÓ»ó ÀÇ»ç°áÁ¤ °úÁ¤À» °£¼ÒÈ­ÇÏ·Á´Â ¿òÁ÷ÀÓÀÌ ÀÖ½À´Ï´Ù. ÀüÀÚÀǹ«±â·ÏÀÇ µµÀÔ°ú ÇコÄÉ¾î ºòµ¥ÀÌÅÍÀÇ º¸±ÞÀº ½ÃÀå È®´ë¸¦ ´õ¿í ÃËÁøÇϰí ÀÖ½À´Ï´Ù. ÀÌ ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎÀ¸·Î´Â ¸¸¼º ÁúȯÀÇ À¯º´·ü Áõ°¡¿Í È¿À²ÀûÀÎ ÇコÄÉ¾î °ü¸®ÀÇ Çʿ伺 µîÀÌ ÀÖ½À´Ï´Ù. ¿¹Ãø ºÐ¼®Àº ÀÇ·á ¼­ºñ½º Á¦°ø¾÷ü¿¡°Ô ȯÀÚÀÇ ¿ä±¸¸¦ ¿¹ÃøÇϰí ÀÚ¿øÀ» È¿°úÀûÀ¸·Î ¹èºÐÇÏ¿© ºñ¿ëÀ» Àý°¨Çϰí Ä¡·áÀÇ ÁúÀ» Çâ»ó½Ãų ¼ö ÀÖ´Â ´É·ÂÀ» Á¦°øÇÕ´Ï´Ù. ¶ÇÇÑ, °¡Ä¡ ±â¹Ý Ä¡·á¿Í ¿¹¹æ ÀÇ·á¿¡ ´ëÇÑ °­Á¶´Â ÀÇ·á ±â°üÀÌ ¿¹Ãø ºÐ¼® ¼Ö·ç¼Ç¿¡ ÅõÀÚÇϵµ·Ï À¯µµÇϰí ÀÖ½À´Ï´Ù. ÇコÄɾî ÀÎÇÁ¶ó°¡ ¹ßÀüÇϰí ÇコÄɾîÀÇ µðÁöÅÐ Çõ½Å¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö°í ÀÖ´Â °³¹ßµµ»ó±¹¿¡´Â ºñÁî´Ï½º ±âȸ°¡ dzºÎÇÕ´Ï´Ù. Çõ½ÅÀûÀ̰í È®Àå °¡´ÉÇÑ ¿¹Ãø ºÐ¼® Ç÷§ÆûÀ» Á¦°øÇÏ´Â ±â¾÷Àº ½ÃÀå Á¡À¯À²À» È®º¸ÇÒ ¼ö ÀÖ´Â À¯¸®ÇÑ À§Ä¡¿¡ ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ±â¼ú Á¦°ø¾÷ü¿Í ÀÇ·á±â°üÀÇ ÆÄÆ®³Ê½ÊÀº ¿¹Ãø ºÐ¼®ÀÇ ¹ßÀüÀ» ÃËÁøÇϰí ȯÀÚÀÇ °Ç°­ »óÅÂ¿Í Ä¡·á °æ·Î¿¡ ´ëÇÑ º¸´Ù Á¾ÇÕÀûÀÌ°í ½Ç¿ëÀûÀÎ ÅëÂû·ÂÀ» ¾òÀ» ¼ö ÀÖ´Â ±æÀ» ¿­¾îÁÖ°í ÀÖ½À´Ï´Ù.

¾ïÁ¦¿äÀΰú °úÁ¦:

ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå¿¡´Â ¸î °¡Áö Áß¿äÇÑ ¾ïÁ¦¿äÀΰú °úÁ¦°¡ ÀÖ½À´Ï´Ù. ÁÖ¿ä ¾ïÁ¦¿äÀÎÀº ¾ö°ÝÇÑ ±ÔÁ¦ ȯ°æÀ¸·Î ¿¹Ãø ºÐ¼® ¼Ö·ç¼ÇÀÇ µµÀÔ°ú È®ÀåÀ» Áö¿¬½Ãų ¼ö ÀÖ½À´Ï´Ù. ÇコÄÉ¾î ±ÔÁ¦¸¦ ÁؼöÇϱâ À§Çؼ­´Â ¸¹Àº ½Ã°£°ú ¸®¼Ò½º°¡ ÇÊ¿äÇϸç, ÀÌ´Â Áß¼Ò±â¾÷ ½ÃÀå ÁøÀÔÀ» °¡·Î¸·°í ÀÖ½À´Ï´Ù. ¶Ç ´Ù¸¥ ¹®Á¦´Â µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È¿¡ ´ëÇÑ ¿ì·ÁÀÔ´Ï´Ù. ÇコÄÉ¾î µ¥ÀÌÅÍ´Â ¸Å¿ì ±â¹Ð¼ºÀÌ ³ôÀ¸¸ç, Ä§ÇØ´Â ½É°¢ÇÑ °á°ú¸¦ ÃÊ·¡ÇÒ ¼ö ÀÖ½À´Ï´Ù. Á¶Á÷Àº º¸¾È Á¶Ä¡¿¡ ¸¹Àº ÅõÀÚ¸¦ ÇØ¾ß Çϴµ¥, ÀÌ´Â ºñ¿ëÀÌ ¸¹ÀÌ µì´Ï´Ù. ¶ÇÇÑ, ¼÷·ÃµÈ ÀηÂÀÌ ºÎÁ·ÇÕ´Ï´Ù. ¿¹Ãø ºÐ¼®À» µµÀÔÇϱâ À§Çؼ­´Â Àü¹® Áö½ÄÀÌ ÇÊ¿äÇÏÁö¸¸, ÇöÀç Àη¿¡´Â ÇÊ¿äÇÑ Àü¹® Áö½ÄÀÌ ºÎÁ·ÇÑ °æ¿ì°¡ ¸¹½À´Ï´Ù. ±âÁ¸ ½Ã½ºÅÛ°úÀÇ ÅëÇÕÀº ¶Ç ´Ù¸¥ Àå¾Ö¹°ÀÔ´Ï´Ù. ¸¹Àº ÀÇ·á ¼­ºñ½º Á¦°ø¾÷üµéÀº »õ·Î¿î ºÐ¼® ±â¼ú°ú ȣȯµÇÁö ¾Ê´Â ·¹°Å½Ã ½Ã½ºÅÛÀ» »ç¿ëÇϰí Àֱ⠶§¹®¿¡ ºñ¿ë°ú º¹ÀâÇÑ ÅëÇÕ ÇÁ·Î¼¼½º°¡ ÇÊ¿äÇÕ´Ï´Ù. ¸¶Áö¸·À¸·Î, ÇコÄÉ¾î ºÐ¾ß´Â º¯È­¿¡ ´ëÇÑ ÀúÇ×ÀÌ ÀÖ½À´Ï´Ù. ¸¹Àº ÀÇ·á Á¾»çÀÚµéÀº ¿¹Ãø ¸ðµ¨¿¡ ÀÇÁ¸ÇÏ´Â °ÍÀ» ÁÖÀúÇϰí ÀüÅëÀûÀÎ ÀÇ»ç °áÁ¤ °úÁ¤À» ¼±È£ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ¹®È­Àû ÀúÇ×ÀÌ Ã¤ÅÃÀ» Áö¿¬½ÃŰ°í ½ÃÀå ¼ºÀåÀ» Á¦ÇÑÇϰí ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå °³¿ä

Á¦2Àå ÁÖ¿ä ¿ä¾à

Á¦3Àå ½ÃÀå¿¡ °üÇÑ ÇÁ¸®¹Ì¾ö ÀλçÀÌÆ®

Á¦4Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå Àü¸Á

Á¦5Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå Àü·«

Á¦6Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå ±Ô¸ð

Á¦7Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : À¯Çüº°

Á¦8Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : Á¦Ç°º°

Á¦9Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : ¼­ºñ½ºº°

Á¦10Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : ±â¼úº°

Á¦11Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : ÄÄÆ÷³ÍÆ®º°

Á¦12Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : ¿ëµµº°

Á¦13Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : Àü°³ Çüź°

Á¦14Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : ÃÖÁ¾»ç¿ëÀÚº°

Á¦15Àå ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå : Áö¿ªº°

Á¦16Àå °æÀï ±¸µµ

Á¦17Àå ±â¾÷ °³¿ä

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Predictive Analytics in Healthcare Market is anticipated to expand from $17.7 billion in 2024 to $119.3 billion by 2034, growing at a CAGR of approximately 21.1%. Predictive Analytics in Healthcare Market encompasses solutions that leverage data mining, statistical algorithms, and machine learning to forecast outcomes and trends in healthcare. These analytics aid in disease prediction, patient management, and operational efficiency, enhancing clinical decision-making. Rising healthcare data volumes and the need for cost reduction drive market growth, fostering innovations in real-time analytics and personalized medicine.

Industry Overview:

The Predictive Analytics in Healthcare Market is significantly influenced by global tariffs, geopolitical risks, and evolving supply chain dynamics. In Japan and South Korea, the focus is on bolstering healthcare data infrastructure amidst trade tensions, leading to increased investment in local analytics solutions. China is advancing its self-reliance strategy, prioritizing domestic innovation in predictive analytics to mitigate reliance on foreign technology. Taiwan, pivotal in semiconductor production, is enhancing its healthcare analytics capabilities while navigating geopolitical sensitivities. Globally, the healthcare analytics market is robust, driven by the demand for precision medicine and personalized care. By 2035, the market is projected to thrive on technological advancements and strategic alliances. Middle East conflicts could disrupt energy supplies, indirectly affecting global supply chains and operational costs in the healthcare sector.

Market Segmentation
TypePredictive Risk Scoring, Financial Analytics, Operations Management, Population Health Management, Clinical Data Analysis, Patient Data Management
ProductSoftware, Hardware, Integrated Solutions
ServicesConsulting Services, Implementation Services, Support and Maintenance, Training and Education
TechnologyMachine Learning, Natural Language Processing, Big Data Analytics, Artificial Intelligence, Data Mining
ComponentData Management, Data Integration, Data Analytics
ApplicationDisease Prevention, Hospital Readmissions, Chronic Disease Management, Operational Efficiency, Patient Engagement, Clinical Workflow Management
DeploymentCloud-Based, On-Premise, Hybrid
End UserHealthcare Providers, Healthcare Payers, Pharmaceutical Companies, Biotechnology Companies, Research Institutes

Market Overview:

The Predictive Analytics in Healthcare Market is experiencing robust growth, primarily driven by the increasing need for efficient patient management and personalized medicine. The patient management segment emerges as the leading market segment, owing to its pivotal role in enhancing patient care through predictive modeling of disease progression and treatment outcomes. This dominance is fueled by the integration of electronic health records (EHRs) and the rising adoption of machine learning algorithms, which significantly improve the accuracy of predictions. Emerging sub-segments such as genomic analytics and real-time monitoring are gaining traction, offering transformative potential by enabling precision medicine and proactive healthcare interventions. Genomic analytics, in particular, is poised to revolutionize personalized treatment plans by leveraging genetic information to predict disease susceptibility and drug response. Meanwhile, real-time monitoring is enhancing chronic disease management by providing continuous health insights, thus reducing hospital readmissions and improving overall healthcare efficiency.

Geographical Overview:

The Predictive Analytics in Healthcare Market is witnessing robust growth across various regions, each with distinct characteristics. North America leads the market, driven by advanced healthcare infrastructure and a high adoption rate of predictive analytics technologies. The region's focus on personalized medicine and value-based care further propels market expansion. Europe follows, with strong government support for healthcare innovation and a growing emphasis on improving patient outcomes through data analytics. In the Asia Pacific region, the market is expanding rapidly. This growth is fueled by increasing investments in healthcare IT and a rising demand for efficient healthcare solutions. The region's large population base and growing prevalence of chronic diseases also contribute to the market's potential. Latin America is emerging as a promising market, with countries investing in healthcare digitization and data-driven approaches to enhance care delivery. In the Middle East & Africa, the market is gradually gaining traction. Efforts to modernize healthcare systems and improve healthcare services drive interest in predictive analytics. The region's focus on adopting innovative technologies to address healthcare challenges further enhances market opportunities. Overall, each region presents unique opportunities and challenges for stakeholders in the predictive analytics in healthcare market.

Competition Overview:

The Predictive Analytics in Healthcare Market is primarily dominated by software solutions, with services and hardware components following closely. This hierarchy is influenced by the burgeoning demand for sophisticated data analytics platforms that can effectively harness vast amounts of healthcare data to derive actionable insights. The North American region is at the forefront of this adoption, propelled by advanced healthcare infrastructure and a proactive stance towards technological integration. Meanwhile, the Asia-Pacific region is witnessing a surge in investments, driven by an increasing awareness of the benefits of predictive analytics in enhancing patient care and operational efficiencies. Key industry players are focusing on innovation and strategic partnerships to expand their market presence. Regulatory frameworks, particularly in North America and Europe, are pivotal in shaping market dynamics, ensuring data privacy, and fostering innovation. The future trajectory of the market is optimistic, with projections indicating a significant uptake in predictive analytics tools, fueled by advancements in artificial intelligence and machine learning. However, challenges such as data security concerns and the high costs of implementation remain. Despite these hurdles, the potential for improved patient outcomes and cost efficiencies presents a compelling case for continued investment and development in this sector.

Recent Developments:

In recent months, the Predictive Analytics in Healthcare Market has witnessed notable developments. Firstly, IBM Watson Health announced a strategic partnership with Mayo Clinic to enhance predictive analytics capabilities, focusing on improving patient outcomes through advanced data insights. Secondly, Oracle Health has expanded its predictive analytics suite by acquiring a leading health data analytics company, aiming to integrate advanced predictive models into its existing healthcare solutions. Thirdly, Cerner Corporation has launched a new predictive analytics platform designed to reduce hospital readmissions, leveraging machine learning algorithms to provide real-time insights into patient care. Fourthly, the FDA has introduced new guidelines to streamline the approval process for predictive analytics tools in healthcare, encouraging innovation and faster market entry. Lastly, McKesson Corporation has invested significantly in its predictive analytics division, aiming to enhance supply chain efficiencies and improve decision-making processes for healthcare providers. These advancements underscore the growing importance and rapid evolution of predictive analytics in the healthcare sector.

Key Companies:

Health Catalyst, Inovalon, Cognizant, Optum, Cerner, MedeAnalytics, Allscripts Healthcare Solutions, Epic Systems Corporation, McKesson Corporation, SAS Institute, IBM Watson Health, Oracle Health Sciences, Philips Healthcare, GE Healthcare, Siemens Healthineers, Tempus, Change Healthcare, Zebra Medical Vision, Flatiron Health, Ayasdi

Key Trends and Drivers:

The Predictive Analytics in Healthcare Market is experiencing robust growth, driven by the increasing demand for personalized medicine and improved patient outcomes. Key trends include the integration of artificial intelligence and machine learning algorithms, which enhance predictive accuracy and streamline clinical decision-making processes. The adoption of electronic health records and the proliferation of big data in healthcare further bolster the market's expansion. Drivers of this market include the rising prevalence of chronic diseases and the need for efficient healthcare management. Predictive analytics offers healthcare providers the ability to anticipate patient needs and allocate resources effectively, reducing costs and improving care quality. Additionally, the emphasis on value-based care and preventive medicine is encouraging healthcare organizations to invest in predictive analytics solutions. Opportunities abound in developing regions where healthcare infrastructure is evolving, and there is a growing focus on digital healthcare transformation. Companies offering innovative and scalable predictive analytics platforms are well-positioned to capture market share. Furthermore, partnerships between technology providers and healthcare institutions are fostering advancements in predictive analytics, paving the way for more comprehensive and actionable insights into patient health and treatment pathways.

Restraints and Challenges:

The predictive analytics in healthcare market encounters several significant restraints and challenges. A primary restraint is the stringent regulatory environment, which can delay the implementation and scaling of predictive analytics solutions. Compliance with healthcare regulations requires substantial time and resources, deterring smaller firms from entering the market. Another challenge is data privacy and security concerns. Healthcare data is highly sensitive, and breaches can have severe consequences. Organizations must invest heavily in security measures, which can be cost-prohibitive. Moreover, there is a lack of skilled personnel. Implementing predictive analytics requires specialized knowledge, and the current workforce often lacks the necessary expertise. Integration with existing systems presents another hurdle. Many healthcare providers operate on legacy systems that are incompatible with new analytics technologies, leading to costly and complex integration processes. Lastly, there is resistance to change within the healthcare sector. Many practitioners are hesitant to rely on predictive models, preferring traditional decision-making processes. This cultural resistance slows adoption and limits market growth.

Research Scope:

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1: Predictive Analytics in Healthcare Market Overview

2: Executive Summary

3: Premium Insights on the Market

4: Predictive Analytics in Healthcare Market Outlook

5: Predictive Analytics in Healthcare Market Strategy

6: Predictive Analytics in Healthcare Market Size

7: Predictive Analytics in Healthcare Market, by Type

8: Predictive Analytics in Healthcare Market, by Product

9: Predictive Analytics in Healthcare Market, by Services

10: Predictive Analytics in Healthcare Market, by Technology

11: Predictive Analytics in Healthcare Market, by Component

12: Predictive Analytics in Healthcare Market, by Application

13: Predictive Analytics in Healthcare Market, by Deployment

14: Predictive Analytics in Healthcare Market, by End User

15: Predictive Analytics in Healthcare Market, by Region

16: Competitive Landscape

17: Company Profiles

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