½ÃÀ庸°í¼­
»óǰÄÚµå
1768853

¼¼°èÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå ±Ô¸ð, Á¡À¯À², ¾÷°è ºÐ¼® º¸°í¼­ : Àü°³ ¹æ½Äº°, ¼Ö·ç¼Ç À¯Çüº°, ÃÖÁ¾ ¿ëµµº°, Áö¿ªº° Àü¸Á ¹× ¿¹Ãø(2025-2032³â)

Global Patient Data Hub Solutions Market Size, Share & Industry Analysis Report By Deployment Mode, By Solution Type, By End-use,, By Regional Outlook and Forecast, 2025 - 2032

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: KBV Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 351 Pages | ¹è¼Û¾È³» : Áï½Ã¹è¼Û

    
    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

¼¼°èÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå ±Ô¸ð´Â ¿¹Ãø ±â°£ µ¿¾È 7.3%ÀÇ CAGR·Î ¼ºÀåÇÏ¿© 2032³â±îÁö 26¾ï 4,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

KBV Cardinal matrix- ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå °æÀï ºÐ¼®

KBV Cardinal matrixÀÇ ºÐ¼®¿¡ µû¸£¸é, Optum, Inc.´Â 2025³â 5¿ù, Optum, Inc.´Â ȯÀÚÀÇ ÀÓ»ó µ¥ÀÌÅÍ¿Í À繫 µ¥ÀÌÅ͸¦ ÅëÇÕÇÏ´Â º´¿øÀ» À§ÇÑ AI ±â¹Ý ¼öÀÍ Áֱ⠰ü¸®(RCM) Ç÷§ÆûÀ» ¹ßÇ¥Çß½À´Ï´Ù. ÀÌ ¼Ö·ç¼ÇÀº û±¸ Á¤È®µµ Çâ»ó, ¿öÅ©Ç÷οì ÀÚµ¿È­, ȯÀÚ µ¥ÀÌÅÍ ÇãºêÀÇ ÁÖ¿ä ±â´ÉÀÎ Á¤º¸¿¡ ±â¹ÝÇÑ ÀÇ»ç°áÁ¤À» Áö¿øÇÏ¿© Áß¾Ó ÁýÁᫎ µ¥ÀÌÅÍ ÀÎÅÚ¸®Àü½º¸¦ ÅëÇØ ÀÇ·á ½Ã½ºÅÛ Àü¹ÝÀÇ È¿À²¼º°ú À繫Àû ¼º°ú¸¦ Çâ»ó½Ãŵ´Ï´Ù. Capgemini SE, IQVIA Holdings, Inc., Veeva Systems, Inc. µîÀÌ ÀÌ ½ÃÀåÀÇ ÁÖ¿ä Çõ½Å ±â¾÷ÀÔ´Ï´Ù.

COVID-19 ¿µÇ⠺м®

COVID-19 ÆÒµ¥¹Í ±â°£ µ¿¾È µðÁöÅÐ Çコ ±â¼ú µµÀÔÀÌ Å©°Ô Áõ°¡ÇÏ¿© ½ÃÀå¿¡ ±àÁ¤ÀûÀÎ ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù. ´ë¸é Áø·á°¡ Á¦Çѵʿ¡ µû¶ó ÀÇ·á ¼­ºñ½º Á¦°øÀڴ ȯÀÚ Á¤º¸ °ü¸®¸¦ µðÁöÅÐ Ç÷§ÆûÀ¸·Î ÀüȯÇÒ ¼ö¹Û¿¡ ¾ø¾ú½À´Ï´Ù. ±× °á°ú, ¿ø°ÝÁø·á, ȯÀÚ ¸ð´ÏÅ͸µ, ÀÌÇØ°ü°èÀÚ °£ÀÇ ¿øÈ°ÇÑ Ä¿¹Â´ÏÄÉÀ̼ÇÀ» Áö¿øÇÒ ¼ö ÀÖ´Â Áß¾Ó ÁýÁᫎ µ¥ÀÌÅÍ ½Ã½ºÅÛÀÌ ºü¸£°Ô µµÀԵǾú½À´Ï´Ù. ÀÌó·³ COVID-19 ÆÒµ¥¹ÍÀº ½ÃÀå¿¡ ±àÁ¤ÀûÀÎ ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù.

½ÃÀå ¼ºÀå¿äÀÎ

¿À´Ã³¯ÀÇ ÇコÄÉ¾î »ýŰ迡¼­ ´Ù¾çÇÑ ÇコÄɾî Ç÷§Æû°ú ÀÇ·á ¼­ºñ½º Á¦°øÀÚ °£¿¡ ȯÀÚ µ¥ÀÌÅ͸¦ ¿øÈ°ÇÏ°Ô °øÀ¯Çϰí, Á¢±ÙÇϰí, Ȱ¿ëÇÒ ¼ö ÀÖ´Â °ÍÀº ÇʼöÀûÀÎ ¿ì¼±¼øÀ§°¡ µÇ°í ÀÖ½À´Ï´Ù. »óÈ£¿î¿ë¼º¿¡ ´ëÇÑ °ü½ÉÀÇ Áõ°¡´Â Àü ¼¼°èÀûÀ¸·Î ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼ÇÀÇ µµÀÔÀ» ÃËÁøÇÏ´Â °¡Àå °­·ÂÇÑ Ã˸ÅÁ¦ Áß ÇϳªÀÔ´Ï´Ù. »óÈ£¿î¿ë¼ºÀ̶õ ¼­·Î ´Ù¸¥ ½Ã½ºÅÛ, ÀåÄ¡, ¾ÖÇø®ÄÉÀ̼ÇÀÌ ¼­·Î ´Ù¸¥ ½Ã½ºÅÛ, ÀåÄ¡, ¾ÖÇø®ÄÉÀ̼ÇÀÌ ÃÖÁ¾»ç¿ëÀÚ¿¡°Ô Ãß°¡ÀûÀÎ ¹ø°Å·Î¿òÀ» ÁÖÁö ¾Ê°í ¼­·Î ¿¬°áµÇ°í Åë½ÅÇÒ ¼ö ÀÖ´Â °ÍÀ» ¸»ÇÕ´Ï´Ù. Áï, »óÈ£¿î¿ë¼º°ú ÅëÇÕ µ¥ÀÌÅÍ »ýŰèÀÇ Çʿ伺Àº ÀÇ·á ±â°üÀ» ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼ÇÀ¸·Î À̲ô´Â ±Ùº»ÀûÀÎ ¿øµ¿·ÂÀÌ µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº ´Ü¼øÈ÷ ÃËÁøÇÏ´Â °Í»Ó¸¸ ¾Æ´Ï¶ó, ¿¬°áµÇ°í È¿À²ÀûÀÎ ÇコÄɾî ȯ°æÀ» ±¸ÇöÇÏ´Â °ÍÀÔ´Ï´Ù.

¶ÇÇÑ, Àü ¼¼°è ÇコÄɾî ȯ°æÀº ȹÀÏÀûÀÎ Á¢±Ù ¹æ½Ä¿¡¼­ º¸´Ù °³ÀÎÈ­µÇ°í Á¤¹ÐÇÑ Ä¡·á ¸ðµ¨·Î ÀüȯµÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¯È­´Â °³ÀÎÈ­µÈ Ä¡·á¿¡ ÇÊ¿äÇÑ ¹æ´ëÇÑ ¾çÀÇ ´Ù¾çÇÑ È¯ÀÚ µ¥ÀÌÅ͸¦ °ü¸®Çϰí ÅëÇÕÇÏ¿© °³ÀÎÈ­µÈ Ä¡·á¿¡ ÇʼöÀûÀÎ Àο¡ÀÌºí·¯ ¿ªÇÒÀ» Çϴ ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç¿¡ Å« ¿øµ¿·ÂÀÌ µÇ°í ÀÖ½À´Ï´Ù. µû¶ó¼­ °³ÀÎÈ­µÈ ÀÇ·á¿Í Á¤¹ÐÀÇ·á¿¡ ´ëÇÑ °ü½ÉÀÇ Áõ°¡´Â ´Ü¼øÇÑ Æ®·»µå°¡ ¾Æ´Ñ ÀÇ·á ÆÐ·¯´ÙÀÓÀÇ ±Ùº»ÀûÀÎ º¯È­À̸ç, ´ÙÂ÷¿øÀûÀΠȯÀÚ µ¥ÀÌÅ͸¦ ÅëÇÕÇϰí Àϰü¼º ÀÖ°í ½Ç¿ëÀûÀÎ ÀÎÅÚ¸®Àü½º·Î ÀüȯÇϱâ À§ÇØ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç¿¡ Å©°Ô ÀÇÁ¸Çϰí ÀÖ´Â »óȲÀÔ´Ï´Ù.

½ÃÀå ¾ïÁ¦¿äÀÎ

ȯÀÚ µ¥ÀÌÅÍ Çãºê(PDH) ¼Ö·ç¼ÇÀÇ º¸±ÞÀ» °¡·Î¸·´Â °¡Àå Å« Á¦¾à Áß Çϳª´Â µµÀÔ, ÅëÇÕ ¹× Àå±âÀûÀÎ À¯Áöº¸¼ö¿¡ µû¸¥ ¸·´ëÇÑ ºñ¿ë ºÎ´ãÀÔ´Ï´Ù. ÀÌ·¯ÇÑ Ç÷§ÆûÀº º¹ÀâÇϰí, °íµµÀÇ IT ÀÎÇÁ¶ó, Àü¹® ÀηÂ, ±×¸®°í Áö¼ÓÀûÀÎ ½Ã½ºÅÛ ¾÷±×·¹À̵尡 ÇÊ¿äÇϸç, ÀÌ ¸ðµç °Í¿¡ ¸·´ëÇÑ ¼³ºñ ÅõÀÚ¿Í ¿î¿µ ºñ¿ëÀÌ ¼Ò¿äµË´Ï´Ù. Áï, °í°¡ÀÇ ¼³ºñ ÅõÀÚ, º¹ÀâÇÑ ÅëÇÕ ¹× Áö¼ÓÀûÀÎ ¿î¿µ ºñ¿ëÀº ƯÈ÷ ¼Ò±Ô¸ðÀÇ ÇÑÁ¤µÈ ÀÚ¿øÀ» °¡Áø ÀÇ·á±â°üÀÇ °æ¿ì, µµÀÔ¿¡ Å« °æÁ¦Àû À庮ÀÌ µÇ¾î ½ÃÀå ħÅõ¸¦ ÀúÇØÇϰí ÀÖ½À´Ï´Ù.

°¡Ä¡»ç½½ ºÐ¼®

ÀÌ ½ÃÀåÀÇ °¡Ä¡»ç½½ ºÐ¼®Àº µ¥ÀÌÅÍ ¼­ºñ½ºÀÇ Æ÷°ýÀûÀÌ°í ¼øÈ¯ÀûÀÎ È帧À» º¸¿©ÁÝ´Ï´Ù. ¸ÕÀú µ¥ÀÌÅÍ ¼öÁýÀ» ½ÃÀÛÀ¸·Î µ¥ÀÌÅÍ ÅëÇÕ°ú Åäūȭ¸¦ ÅëÇØ ¾ÈÀüÇÑ Ã³¸®¸¦ º¸ÀåÇÕ´Ï´Ù. ´ÙÀ½À¸·Î µ¥ÀÌÅÍ ÀúÀå ¹× °ü¸®¸¦ ÅëÇØ È¿À²ÀûÀΠ󸮸¦ Áö¿øÇϰí, ºÐ¼® ¹× ÀλçÀÌÆ® âÃâÀ» ÅëÇØ ½Ç¿ëÀûÀÎ °á°ú¸¦ ¾òÀ» ¼ö ÀÖ½À´Ï´Ù. ÄÄÇöóÀ̾𽺠¹× ±ÔÁ¦ Áö¿øÀº °Ç°­ °ü·Ã ±ÔÁ¦ Áؼö¸¦ º¸ÀåÇÕ´Ï´Ù. ÀÌ ¹ë·ùüÀÎÀº ¸¶ÄÉÆÃ ¹× ¿µ¾÷ Áö¿ø, Ç÷§Æû Á¦°ø ¹× »ç¿ëÀÚ °æÇè, °í°´ Áö¿ø ¹× ±³À°À¸·Î À̾îÁý´Ï´Ù. ¸¶Áö¸·À¸·Î, Áö¼ÓÀûÀÎ Çõ½Å°ú ¿¬±¸°³¹ßÀ» ÅëÇØ °³¼±À» ÃËÁøÇÏ°í µ¥ÀÌÅÍ ¼öÁý ÇÁ·Î¼¼½º¸¦ °­È­ÇÕ´Ï´Ù.

½ÃÀå Á¡À¯À² ºÐ¼®

Àü°³ ¸ðµåÀÇ Àü¸Á

Àü°³ ¹æ½Ä¿¡ µû¶ó ½ÃÀåÀº Ŭ¶ó¿ìµå ±â¹Ý°ú ¿ÂÇÁ·¹¹Ì½º·Î ºÐ·ùµË´Ï´Ù. ¿ÂÇÁ·¹¹Ì½º ºÎ¹®Àº 2024³â ½ÃÀå ¸ÅÃâ Á¡À¯À²ÀÇ 30%¸¦ Â÷ÁöÇß½À´Ï´Ù. ¿ÂÇÁ·¹¹Ì½º ºÎ¹®Àº ƯÁ¤ µ¥ÀÌÅÍ º¸¾È, »ç¿ëÀÚ ÁöÁ¤ ¶Ç´Â ±ÔÁ¦ ¿ä±¸ »çÇ×ÀÌ ÀÖ´Â Á¶Á÷¿¡ Áö¼ÓÀûÀ¸·Î ¼­ºñ½º¸¦ Á¦°øÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¼Ö·ç¼ÇÀº ÇコÄÉ¾î ±â°üÀÇ ¹°¸®Àû ½Ã¼³¿¡¼­ È£½ºÆÃµÇ±â ¶§¹®¿¡ µ¥ÀÌÅÍ ÀúÀå ¹× ¾×¼¼½º¸¦ º¸´Ù ¾ö°ÝÇÏ°Ô Á¦¾îÇÒ ¼ö ÀÖ½À´Ï´Ù.

¼Ö·ç¼Ç À¯Çü Àü¸Á

¼Ö·ç¼Ç À¯Çü¿¡ µû¶ó ½ÃÀåÀº ÀÇ·á µ¥ÀÌÅÍ ¾Û ¹× AI, µ¥ÀÌÅÍ ÅëÇÕ, ȯÀÚ 360µµ ºä Ç÷§Æû, ±âŸ·Î ºÐ·ùµË´Ï´Ù. µ¥ÀÌÅÍ ÅëÇÕ ºÎ¹®Àº 2024³â ½ÃÀå ¸ÅÃâ Á¡À¯À²ÀÇ 35%¸¦ Â÷ÁöÇß½À´Ï´Ù. ÀÌ·¯ÇÑ ¼Ö·ç¼ÇÀº ÀüÀڰǰ­±â·Ï(EHR), ¿µ»ó ½Ã½ºÅÛ, °Ë»ç µ¥ÀÌÅÍ, Ÿ»ç ¾ÖÇø®ÄÉÀÌ¼Ç µî ¿©·¯ ÇコÄɾî Ç÷§ÆûÀÇ Á¤º¸¸¦ ÅëÇÕÇÏ´Â ¿ªÇÒÀ» ÇÕ´Ï´Ù. µ¥ÀÌÅÍ ÅëÇÕ ¼Ö·ç¼ÇÀº ¿¬°áµÈ »ýŰ踦 ±¸ÃàÇÏ¿© ÀÓ»óÀÇ, °ü¸®ÀÚ ¹× ±âŸ ÀÌÇØ°ü°èÀÚ°¡ Á¤È®Çϰí Á¾ÇÕÀûÀÎ Á¤º¸¿¡ Àû½Ã¿¡ Á¢±ÙÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù.

ÃÖÁ¾ ¿ëµµ Àü¸Á

ÃÖÁ¾ ¿ëµµº°·Î ½ÃÀåÀº ÇコÄÉ¾î ±â¾÷, ÇコÄɾî Á¦°øÀÚ, ÇコÄɾî ÁöºÒÀÚ, ±âŸ·Î ºÐ·ùµË´Ï´Ù. ÀÇ·á ¼­ºñ½º Á¦°øÀÚ ºÎ¹®Àº 2024³â ½ÃÀå ¸ÅÃâ Á¡À¯À² 29%¸¦ Â÷ÁöÇß½À´Ï´Ù. ÀÇ·á Á¦°øÀÚ ºÎ¹®¿¡´Â º´¿ø, Áø·á¼Ò, ¿Ü·¡ Áø·á ¼¾ÅÍ, Àü¹® ÀÇ·á ±â°üÀÌ Æ÷ÇԵ˴ϴÙ. À̵é Á¶Á÷Àº ȯÀÚ µ¥ÀÌÅÍ Çãºê¸¦ Ȱ¿ëÇÏ¿© ÀÓ»óÀû ÀÇ»ç°áÁ¤ °³¼±, ȯÀÚ ¾ÈÀü Çâ»ó, Áø·á Á¶Á¤ÀÇ È¿À²¼º Çâ»óÀ» À§ÇØ ³ë·ÂÇϰí ÀÖ½À´Ï´Ù.

Áö¿ª Àü¸Á

Áö¿ªº°·Î´Â ºÏ¹Ì, À¯·´, ¾Æ½Ã¾ÆÅÂÆò¾ç, ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«·Î ½ÃÀåÀ» ºÐ¼®Çß½À´Ï´Ù. ºÏ¹Ì ºÎ¹®Àº 2024³â ½ÃÀå¿¡¼­ °¡Àå Å« ¸ÅÃâ Á¡À¯À²ÀÎ 39%¸¦ Â÷ÁöÇß½À´Ï´Ù. ºÏ¹Ì´Â ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼ÇÀÇ ÁÖ¿ä ½ÃÀåÀ¸·Î ºÎ»óÇϰí ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀº ÷´Ü ÀÇ·á ÀÎÇÁ¶ó, ÀüÀÚ ÀÇ·á ±â·Ï(EHR)ÀÇ ±¤¹üÀ§ÇÑ µµÀÔ, »óÈ£ ¿î¿ë¼º ¹× ÀÇ·á IT ÀÌ´Ï¼ÅÆ¼ºê¿¡ ´ëÇÑ °­·ÂÇÑ ±ÔÁ¦ Áö¿ø µîÀÇ ÇýÅÃÀ» ´©¸®°í ÀÖ½À´Ï´Ù.

½ÃÀå °æÀï°ú Ư¼º

ÀÌ ½ÃÀå¿¡¼­ÀÇ °æÀïÀº ¾÷°è ³»¿¡¼­ Ä¡¿­ÇÑ °æÀïÀÌ ¹ú¾îÁö°í ÀÖ½À´Ï´Ù. ¸¹Àº Áß°ß±â¾÷°ú ½Å»ý±â¾÷µéÀÌ Çõ½Å, °¡°Ý, ¼­ºñ½º Â÷º°È­¸¦ À§ÇØ Ä¡¿­ÇÑ °æÀïÀ» ¹úÀ̰í ÀÖ½À´Ï´Ù. ÀæÀº ±â¼ú ¹ßÀü, ³·Àº ½ºÀ§Äª ºñ¿ë, ¿øÈ°ÇÑ µ¥ÀÌÅÍ ÅëÇÕ¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡·Î °æÀïÀÌ Ä¡¿­ÇØÁö¸é¼­ ±â¾÷µéÀº Áö¼ÓÀûÀ¸·Î ¼­ºñ½º¸¦ °­È­Çϰí Àü·«Àû Á¦ÈÞ¸¦ ¸Î¾î ½ÃÀå¿¡¼­ÀÇ ÁÖµµ±ÇÀ» °­È­Çϱâ À§ÇØ ³ë·ÂÇϰí ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ½ÃÀå ¹üÀ§¿Í Á¶»ç ¹æ¹ý

  • ½ÃÀå Á¤ÀÇ
  • ¸ñÀû
  • ½ÃÀå ¹üÀ§
  • ¼¼ºÐÈ­
  • Á¶»ç ¹æ¹ý

Á¦2Àå ½ÃÀå ¿ä¶÷

  • ÁÖ¿ä ÇÏÀ̶óÀÌÆ®

Á¦3Àå ½ÃÀå °³¿ä

  • ¼Ò°³
    • °³¿ä
      • ½ÃÀå ±¸¼º°ú ½Ã³ª¸®¿À
  • ½ÃÀå¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ÁÖ¿ä ¿äÀÎ
    • ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ
    • ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ
    • ½ÃÀå ±âȸ
    • ½ÃÀå °úÁ¦

Á¦4Àå °æÀï ºÐ¼® - ¼¼°è

  • KBV Cardinal Matrix
  • ÃÖ±Ù ¾÷°è ÀüüÀÇ Àü·«Àû Àü°³
    • ÆÄÆ®³Ê½Ê, Çù¾÷, °è¾à
    • Á¦Ç° ¹ß¸Å¿Í Á¦Ç° È®´ë
    • Àμö¿Í ÇÕº´
  • ½ÃÀå Á¡À¯À² ºÐ¼®, 2024³â
  • ÁÖ¿ä ¼º°ø Àü·«
    • ÁÖ¿ä Àü·«
    • ÁÖ¿ä Àü·«Àû Ȱµ¿
  • Porter¡¯s Five Forces ºÐ¼®

Á¦5Àå ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå ¹ë·ùüÀÎ ºÐ¼®

  • µ¥ÀÌÅÍ ¼öÁý
  • µ¥ÀÌÅÍ ÅëÇÕ°ú Åäūȭ
  • µ¥ÀÌÅÍ º¸Á¸°ú °ü¸®
  • ºÐ¼®°ú ÀλçÀÌÆ® »ý¼º
  • ¸¶ÄÉÆÃ°ú ¼¼ÀÏÁî Áö¿ø
  • Ç÷§Æû ¹èÆ÷¿Í »ç¿ëÀÚ °æÇè
  • ÄÄÇöóÀÌ¾ð½º¿Í ±ÔÁ¦ ¼­Æ÷Æ®
  • °í°´ Áö¿ø°ú Æ®·¹ÀÌ´×
  • Áö¼ÓÀûÀÎ Çõ½Å°ú ¿¬±¸°³¹ß

Á¦6Àå ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀåÀÇ ÁÖ¿ä °í°´ ±âÁØ

Á¦7Àå ¼¼°èÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : Àü°³ ¹æ½Äº°

  • ¼¼°èÀÇ Å¬¶ó¿ìµå ±â¹Ý ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ ¿ÂÇÁ·¹¹Ì½º ½ÃÀå : Áö¿ªº°

Á¦8Àå ¼¼°èÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : ¼Ö·ç¼Ç À¯Çüº°

  • ¼¼°èÀÇ Çコ µ¥ÀÌÅÍ ¾Û°ú AI ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ µ¥ÀÌÅÍ ÅëÇÕ ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ È¯ÀÚ 360µµ ºä Ç÷§Æû ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ ±âŸ ¼Ö·ç¼Ç À¯Çü ½ÃÀå : Áö¿ªº°

Á¦9Àå ¼¼°èÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : ÃÖÁ¾ ¿ëµµº°

  • ¼¼°èÀÇ ÇコÄÉ¾î ±â¾÷ ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ ÀÇ·á Á¦°øÀÚ ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ ÇコÄÉ¾î º¸Çè ½ÃÀå : Áö¿ªº°
  • ¼¼°èÀÇ ±âŸ ÃÖÁ¾ ¿ëµµ ½ÃÀå : Áö¿ªº°

Á¦10Àå ¼¼°èÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : Áö¿ªº°

  • ºÏ¹Ì
    • ºÏ¹ÌÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : ±¹°¡º°
      • ¹Ì±¹
      • ij³ª´Ù
      • ¸ß½ÃÄÚ
      • ±âŸ ºÏ¹Ì
  • À¯·´
    • À¯·´ÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : ±¹°¡º°
      • µ¶ÀÏ
      • ¿µ±¹
      • ÇÁ¶û½º
      • ·¯½Ã¾Æ
      • ½ºÆäÀÎ
      • ÀÌÅ»¸®¾Æ
      • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : ±¹°¡º°
      • Áß±¹
      • ÀϺ»
      • Àεµ
      • Çѱ¹
      • ½Ì°¡Æ÷¸£
      • ¸»·¹À̽þÆ
      • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ È¯ÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå : ±¹°¡º°
      • ºê¶óÁú
      • ¾Æ¸£ÇîÆ¼³ª
      • ¾Æ¶ø¿¡¹Ì¸®Æ®
      • »ç¿ìµð¾Æ¶óºñ¾Æ
      • ³²¾ÆÇÁ¸®Ä«°øÈ­±¹
      • ³ªÀÌÁö¸®¾Æ
      • ±âŸ ¶óƾ¾Æ¸Þ¸®Ä«, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦11Àå ±â¾÷ °³¿ä

  • IQVIA Holdings, Inc
  • Innovaccer, Inc
  • WellSky Corporation
  • Veeva Systems, Inc
  • Capgemini SE
  • Optum, Inc(UnitedHealth Group, Inc.)
  • ZS Associates, Inc
  • Nextgen healthcare, inc
  • IntegriChain, Inc
  • Informatica Inc

Á¦12Àå ȯÀÚ µ¥ÀÌÅÍ Çãºê ¼Ö·ç¼Ç ½ÃÀå ¼º°ø Çʼö Á¶°Ç

ksm 25.07.22

The Global Patient Data Hub Solutions Market size is expected to reach $2.64 billion by 2032, rising at a market growth of 7.3% CAGR during the forecast period.

These systems enable healthcare providers, payers, and researchers to access real-time patient information, consolidate electronic health records (EHR), and support interoperability among various digital health platforms. The model offers enhanced scalability, cost-efficiency, and accessibility compared to on-premise solutions. As the healthcare sector continues its digital transformation, cloud-based platforms have emerged as a preferred option due to their ability to streamline clinical workflows, support remote care delivery, and ensure secure data sharing.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2025, IQVIA Holdings, Inc. unveiled AI Agents designed to automate and streamline healthcare and life sciences operations. These tools support real-time decision-making by integrating diverse patient data, aligning with Patient Data Hub Solutions to optimize patient engagement, data unification, and clinical workflow automation. Additionally, In June, 2025, Innovaccer, Inc. unveiled AI agents to reduce administrative burdens in healthcare by automating routine tasks. These agents enhance data interoperability and care workflows, aligning with the Market by improving access to real-time patient insights and streamlining data-centric decision-making across clinical and administrative operations.

KBV Cardinal Matrix - Patient Data Hub Solutions Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Optum, Inc. is the forerunner in the Market. In May, 2025, Optum, Inc. unveiled an AI-powered revenue cycle management (RCM) platform for hospitals that integrates clinical and financial patient data. The solution enhances claims accuracy, automates workflows, and supports informed decision-making-key functions of a Patient Data Hub-boosting efficiency and financial outcomes across health systems through centralized data intelligence. Companies such as Capgemini SE, IQVIA Holdings, Inc., and Veeva Systems, Inc. are some of the key innovators in the Market.

COVID-19 Impact Analysis

During the COVID-19 pandemic, there was a significant surge in the adoption of digital health technologies, which positively influenced the market. Healthcare providers were compelled to transition to digital platforms for managing patient information due to the limitations imposed on in-person consultations. This led to a rapid deployment of centralized data systems capable of supporting remote care, patient monitoring, and streamlined communication between stakeholders. Thus, the COVID-19 pandemic had a positive impact on the market.

Market Growth Factors

In today's healthcare ecosystem, the ability to seamlessly share, access, and utilize patient data across various healthcare platforms and providers has become an essential priority. The growing emphasis on interoperability is one of the most powerful catalysts driving the adoption of patient data hub solutions globally. Interoperability refers to the capability of disparate systems, devices, and applications to connect and communicate in a coordinated manner, without requiring extra effort from the end user. In conclusion, the imperative for interoperability and integrated data ecosystems is a foundational force that continues to drive healthcare organizations toward Patient Data Hub solutions. These systems are not merely facilitators but enablers of a connected and efficient healthcare environment.

Additionally, the global healthcare landscape is shifting from a one-size-fits-all approach to more personalized and precision-based models of treatment. This transformation is a major driver for Patient Data Hub solutions, which serve as essential enablers by managing and harmonizing vast volumes of diverse patient data necessary for individualized care. Therefore, the rising emphasis on personalized and precision medicine is not merely a trend but a fundamental shift in the care paradigm-one that heavily relies on Patient Data Hub solutions to synthesize multi-dimensional patient data into coherent, actionable intelligence.

Market Restraining Factors

One of the most critical restraints hampering the widespread adoption of Patient Data Hub (PDH) solutions is the significant cost burden associated with their deployment, integration, and long-term maintenance. These platforms are complex, requiring advanced IT infrastructure, specialized human resources, and ongoing system upgrades-all of which demand substantial capital and operational expenditure. In conclusion, the high capital investment, integration complexity, and recurring operational costs present a substantial financial barrier to adoption, particularly for smaller and resource-constrained healthcare providers, limiting the market's penetration.

Value Chain Analysis

The value chain analysis of this Market illustrates a comprehensive, cyclical flow of data services. It begins with Data Acquisition, followed by Data Integration & Tokenization to ensure secure processing. Data Storage & Management supports efficient handling, enabling Analytics & Insight Generation for actionable outcomes. Compliance & Regulatory Support ensures adherence to health regulations. The chain continues through Marketing & Sales Enablement, Platform Delivery & User Experience, and Customer Support & Training. Finally, Continuous Innovation & R&D fuels improvements, looping back to strengthen the data acquisition process.

Market Share Analysis

Deployment Mode Outlook

Based on deployment mode, the market is characterized into cloud-based and on-premise. The on-premise segment procured 30% revenue share in the market in 2024. On-premise segment continues to serve organizations with specific data security, customization, or regulatory needs. These solutions are hosted within the physical premises of healthcare institutions, offering greater control over data storage and access.

Solution Type Outlook

On the basis of solution type, the market is classified into health data apps & AI, data integration, patient 360 view platforms, and others. The data integration segment recorded 35% revenue share in the market in 2024. These solutions are responsible for aggregating information from multiple healthcare platforms such as electronic health records (EHRs), imaging systems, lab data, and third-party applications. By creating a connected ecosystem, data integration solutions ensure that clinicians, administrators, and other stakeholders have timely access to accurate and comprehensive information.

End-use Outlook

By end use, the market is divided into healthcare companies, healthcare providers, healthcare payers, and others. The healthcare providers segment garnered 29% revenue share in the market in 2024. The healthcare providers segment encompasses hospitals, clinics, ambulatory care centers, and specialty care institutions. These organizations leverage patient data hubs to improve clinical decision-making, enhance patient safety, and streamline care coordination.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 39% the largest revenue share in the market in 2024. The North America segment stands out as a leading market for patient data hub solutions. The region benefits from a highly advanced healthcare infrastructure, widespread adoption of electronic health records (EHRs), and strong regulatory support for interoperability and health IT initiatives.

Market Competition and Attributes

The competition in this Market is marked by high industry rivalry. Numerous mid-sized firms and startups compete aggressively on innovation, pricing, and service differentiation. Frequent technological advancements, low switching costs, and increasing demand for seamless data integration intensify the race, driving companies to continuously enhance their offerings and form strategic collaborations to gain market traction.

Recent Strategies Deployed in the Market

  • May-2025: Innovaccer, Inc. unveiled Innovaccer Gravity integrates AI to unify and analyze patient data across platforms, enabling personalized care delivery. As a robust data infrastructure, it exemplifies a next-gen patient data hub, driving market growth through improved clinical workflows, real-time analytics, and seamless data integration.
  • May-2025: Optum, Inc. unveiled an AI-powered revenue cycle management (RCM) platform for hospitals that integrates clinical and financial patient data. The solution enhances claims accuracy, automates workflows, and supports informed decision-making-key functions of a Patient Data Hub-boosting efficiency and financial outcomes across health systems through centralized data intelligence.
  • May-2025: Informatica Inc. unveiled Agentic AI capabilities on its cloud platform, enhancing autonomous data integration and governance. These AI-driven tools are highly relevant for patient data hubs, improving decision-making, data quality, and security in healthcare settings.
  • Apr-2025: Innovaccer, Inc. unveiled AI copilots and agents that reduce care documentation time by 28% and improve patient engagement by 20%. These tools support the Patient Data Hub Market by streamlining data collection and enabling proactive, personalized care via advanced health information management.
  • Mar-2025: IQVIA Holdings, Inc. unveiled Site Lab Navigator, featuring e-requisition capabilities to streamline clinical trial workflows. The platform enhances data collection, integration, and lab coordination, which directly supports Patient Data Hub Solutions by improving efficiency, accuracy, and patient data accessibility in trial environments.

List of Key Companies Profiled

  • IQVIA Holdings, Inc.
  • Innovaccer, Inc.
  • WellSky Corporation
  • Veeva Systems, Inc.
  • Capgemini SE
  • Optum, Inc. (UnitedHealth Group, Inc.)
  • ZS Associates, Inc.
  • NEXTGEN HEALTHCARE, INC.
  • IntegriChain, Inc.
  • Informatica Inc.

Global Patient Data Hub Solutions Market Report Segmentation

By Deployment Mode

  • Cloud-based
  • On-premise

By Solution Type

  • Health Data Apps & AI
  • Data Integration
  • Patient 360 View Platforms
  • Other Solution Type

By End-use

  • Healthcare Companies
  • Healthcare Providers
  • Healthcare Payers
  • Other End-use

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Patient Data Hub Solutions Market, by Deployment Mode
    • 1.4.2 Global Patient Data Hub Solutions Market, by Solution Type
    • 1.4.3 Global Patient Data Hub Solutions Market, by End-use
    • 1.4.4 Global Patient Data Hub Solutions Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2024
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2021, Jun - 2025, Jun) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Patient Data Hub Solutions Market

  • 5.1 Data Acquisition
  • 5.2 Data Integration & Tokenization
  • 5.3 Data Storage & Management
  • 5.4 Analytics & Insight Generation
  • 5.5 Marketing & Sales Enablement
  • 5.6 Platform Delivery & User Experience
  • 5.7 Compliance & Regulatory Support
  • 5.8 Customer Support & Training
  • 5.9 Continuous Innovation & R&D

Chapter 6. Key Costumer Criteria of Patient Data Hub Solutions Market

Chapter 7. Global Patient Data Hub Solutions Market by Deployment Mode

  • 7.1 Global Cloud-based Market by Region
  • 7.2 Global On-premise Market by Region

Chapter 8. Global Patient Data Hub Solutions Market by Solution Type

  • 8.1 Global Health Data Apps & AI Market by Region
  • 8.2 Global Data Integration Market by Region
  • 8.3 Global Patient 360 View Platforms Market by Region
  • 8.4 Global Other Solution Type Market by Region

Chapter 9. Global Patient Data Hub Solutions Market by End-use

  • 9.1 Global Healthcare Companies Market by Region
  • 9.2 Global Healthcare Providers Market by Region
  • 9.3 Global Healthcare Payers Market by Region
  • 9.4 Global Other End-use Market by Region

Chapter 10. Global Patient Data Hub Solutions Market by Region

  • 10.1 North America Patient Data Hub Solutions Market
    • 10.1.1 North America Patient Data Hub Solutions Market by Deployment Mode
      • 10.1.1.1 North America Cloud-based Market by Region
      • 10.1.1.2 North America On-premise Market by Region
    • 10.1.2 North America Patient Data Hub Solutions Market by Solution Type
      • 10.1.2.1 North America Health Data Apps & AI Market by Country
      • 10.1.2.2 North America Data Integration Market by Country
      • 10.1.2.3 North America Patient 360 View Platforms Market by Country
      • 10.1.2.4 North America Other Solution Type Market by Country
    • 10.1.3 North America Patient Data Hub Solutions Market by End-use
      • 10.1.3.1 North America Healthcare Companies Market by Country
      • 10.1.3.2 North America Healthcare Providers Market by Country
      • 10.1.3.3 North America Healthcare Payers Market by Country
      • 10.1.3.4 North America Other End-use Market by Country
    • 10.1.4 North America Patient Data Hub Solutions Market by Country
      • 10.1.4.1 US Patient Data Hub Solutions Market
        • 10.1.4.1.1 US Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.1.2 US Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.1.3 US Patient Data Hub Solutions Market by End-use
      • 10.1.4.2 Canada Patient Data Hub Solutions Market
        • 10.1.4.2.1 Canada Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.2.2 Canada Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.2.3 Canada Patient Data Hub Solutions Market by End-use
      • 10.1.4.3 Mexico Patient Data Hub Solutions Market
        • 10.1.4.3.1 Mexico Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.3.2 Mexico Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.3.3 Mexico Patient Data Hub Solutions Market by End-use
      • 10.1.4.4 Rest of North America Patient Data Hub Solutions Market
        • 10.1.4.4.1 Rest of North America Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.4.2 Rest of North America Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.4.3 Rest of North America Patient Data Hub Solutions Market by End-use
  • 10.2 Europe Patient Data Hub Solutions Market
    • 10.2.1 Europe Patient Data Hub Solutions Market by Deployment Mode
      • 10.2.1.1 Europe Cloud-based Market by Country
      • 10.2.1.2 Europe On-premise Market by Country
    • 10.2.2 Europe Patient Data Hub Solutions Market by Solution Type
      • 10.2.2.1 Europe Health Data Apps & AI Market by Country
      • 10.2.2.2 Europe Data Integration Market by Country
      • 10.2.2.3 Europe Patient 360 View Platforms Market by Country
      • 10.2.2.4 Europe Other Solution Type Market by Country
    • 10.2.3 Europe Patient Data Hub Solutions Market by End-use
      • 10.2.3.1 Europe Healthcare Companies Market by Country
      • 10.2.3.2 Europe Healthcare Providers Market by Country
      • 10.2.3.3 Europe Healthcare Payers Market by Country
      • 10.2.3.4 Europe Other End-use Market by Country
    • 10.2.4 Europe Patient Data Hub Solutions Market by Country
      • 10.2.4.1 Germany Patient Data Hub Solutions Market
        • 10.2.4.1.1 Germany Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.1.2 Germany Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.1.3 Germany Patient Data Hub Solutions Market by End-use
      • 10.2.4.2 UK Patient Data Hub Solutions Market
        • 10.2.4.2.1 UK Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.2.2 UK Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.2.3 UK Patient Data Hub Solutions Market by End-use
      • 10.2.4.3 France Patient Data Hub Solutions Market
        • 10.2.4.3.1 France Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.3.2 France Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.3.3 France Patient Data Hub Solutions Market by End-use
      • 10.2.4.4 Russia Patient Data Hub Solutions Market
        • 10.2.4.4.1 Russia Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.4.2 Russia Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.4.3 Russia Patient Data Hub Solutions Market by End-use
      • 10.2.4.5 Spain Patient Data Hub Solutions Market
        • 10.2.4.5.1 Spain Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.5.2 Spain Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.5.3 Spain Patient Data Hub Solutions Market by End-use
      • 10.2.4.6 Italy Patient Data Hub Solutions Market
        • 10.2.4.6.1 Italy Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.6.2 Italy Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.6.3 Italy Patient Data Hub Solutions Market by End-use
      • 10.2.4.7 Rest of Europe Patient Data Hub Solutions Market
        • 10.2.4.7.1 Rest of Europe Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.7.2 Rest of Europe Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.7.3 Rest of Europe Patient Data Hub Solutions Market by End-use
  • 10.3 Asia Pacific Patient Data Hub Solutions Market
    • 10.3.1 Asia Pacific Patient Data Hub Solutions Market by Deployment Mode
      • 10.3.1.1 Asia Pacific Cloud-based Market by Country
      • 10.3.1.2 Asia Pacific On-premise Market by Country
    • 10.3.2 Asia Pacific Patient Data Hub Solutions Market by Solution Type
      • 10.3.2.1 Asia Pacific Health Data Apps & AI Market by Country
      • 10.3.2.2 Asia Pacific Data Integration Market by Country
      • 10.3.2.3 Asia Pacific Patient 360 View Platforms Market by Country
      • 10.3.2.4 Asia Pacific Other Solution Type Market by Country
    • 10.3.3 Asia Pacific Patient Data Hub Solutions Market by End-use
      • 10.3.3.1 Asia Pacific Healthcare Companies Market by Country
      • 10.3.3.2 Asia Pacific Healthcare Providers Market by Country
      • 10.3.3.3 Asia Pacific Healthcare Payers Market by Country
      • 10.3.3.4 Asia Pacific Other End-use Market by Country
    • 10.3.4 Asia Pacific Patient Data Hub Solutions Market by Country
      • 10.3.4.1 China Patient Data Hub Solutions Market
        • 10.3.4.1.1 China Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.1.2 China Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.1.3 China Patient Data Hub Solutions Market by End-use
      • 10.3.4.2 Japan Patient Data Hub Solutions Market
        • 10.3.4.2.1 Japan Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.2.2 Japan Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.2.3 Japan Patient Data Hub Solutions Market by End-use
      • 10.3.4.3 India Patient Data Hub Solutions Market
        • 10.3.4.3.1 India Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.3.2 India Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.3.3 India Patient Data Hub Solutions Market by End-use
      • 10.3.4.4 South Korea Patient Data Hub Solutions Market
        • 10.3.4.4.1 South Korea Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.4.2 South Korea Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.4.3 South Korea Patient Data Hub Solutions Market by End-use
      • 10.3.4.5 Singapore Patient Data Hub Solutions Market
        • 10.3.4.5.1 Singapore Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.5.2 Singapore Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.5.3 Singapore Patient Data Hub Solutions Market by End-use
      • 10.3.4.6 Malaysia Patient Data Hub Solutions Market
        • 10.3.4.6.1 Malaysia Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.6.2 Malaysia Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.6.3 Malaysia Patient Data Hub Solutions Market by End-use
      • 10.3.4.7 Rest of Asia Pacific Patient Data Hub Solutions Market
        • 10.3.4.7.1 Rest of Asia Pacific Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.7.2 Rest of Asia Pacific Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.7.3 Rest of Asia Pacific Patient Data Hub Solutions Market by End-use
  • 10.4 LAMEA Patient Data Hub Solutions Market
    • 10.4.1 LAMEA Patient Data Hub Solutions Market by Deployment Mode
      • 10.4.1.1 LAMEA Cloud-based Market by Country
      • 10.4.1.2 LAMEA On-premise Market by Country
    • 10.4.2 LAMEA Patient Data Hub Solutions Market by Solution Type
      • 10.4.2.1 LAMEA Health Data Apps & AI Market by Country
      • 10.4.2.2 LAMEA Data Integration Market by Country
      • 10.4.2.3 LAMEA Patient 360 View Platforms Market by Country
      • 10.4.2.4 LAMEA Other Solution Type Market by Country
    • 10.4.3 LAMEA Patient Data Hub Solutions Market by End-use
      • 10.4.3.1 LAMEA Healthcare Companies Market by Country
      • 10.4.3.2 LAMEA Healthcare Providers Market by Country
      • 10.4.3.3 LAMEA Healthcare Payers Market by Country
      • 10.4.3.4 LAMEA Other End-use Market by Country
    • 10.4.4 LAMEA Patient Data Hub Solutions Market by Country
      • 10.4.4.1 Brazil Patient Data Hub Solutions Market
        • 10.4.4.1.1 Brazil Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.1.2 Brazil Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.1.3 Brazil Patient Data Hub Solutions Market by End-use
      • 10.4.4.2 Argentina Patient Data Hub Solutions Market
        • 10.4.4.2.1 Argentina Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.2.2 Argentina Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.2.3 Argentina Patient Data Hub Solutions Market by End-use
      • 10.4.4.3 UAE Patient Data Hub Solutions Market
        • 10.4.4.3.1 UAE Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.3.2 UAE Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.3.3 UAE Patient Data Hub Solutions Market by End-use
      • 10.4.4.4 Saudi Arabia Patient Data Hub Solutions Market
        • 10.4.4.4.1 Saudi Arabia Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.4.2 Saudi Arabia Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.4.3 Saudi Arabia Patient Data Hub Solutions Market by End-use
      • 10.4.4.5 South Africa Patient Data Hub Solutions Market
        • 10.4.4.5.1 South Africa Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.5.2 South Africa Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.5.3 South Africa Patient Data Hub Solutions Market by End-use
      • 10.4.4.6 Nigeria Patient Data Hub Solutions Market
        • 10.4.4.6.1 Nigeria Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.6.2 Nigeria Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.6.3 Nigeria Patient Data Hub Solutions Market by End-use
      • 10.4.4.7 Rest of LAMEA Patient Data Hub Solutions Market
        • 10.4.4.7.1 Rest of LAMEA Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.7.2 Rest of LAMEA Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.7.3 Rest of LAMEA Patient Data Hub Solutions Market by End-use

Chapter 11. Company Profiles

  • 11.1 IQVIA Holdings, Inc.
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Segmental and Regional Analysis
    • 11.1.4 Recent strategies and developments:
      • 11.1.4.1 Partnerships, Collaborations, and Agreements:
      • 11.1.4.2 Product Launches and Product Expansions:
    • 11.1.5 SWOT Analysis
  • 11.2 Innovaccer, Inc.
    • 11.2.1 Company Overview
    • 11.2.2 Recent strategies and developments:
      • 11.2.2.1 Partnerships, Collaborations, and Agreements:
      • 11.2.2.2 Product Launches and Product Expansions:
      • 11.2.2.3 Acquisition and Mergers:
  • 11.3 WellSky Corporation
    • 11.3.1 Company Overview
    • 11.3.2 Recent strategies and developments:
      • 11.3.2.1 Partnerships, Collaborations, and Agreements:
      • 11.3.2.2 Product Launches and Product Expansions:
      • 11.3.2.3 Acquisition and Mergers:
  • 11.4 Veeva Systems, Inc.
    • 11.4.1 Company Overview
    • 11.4.2 Financial Analysis
    • 11.4.3 Regional Analysis
    • 11.4.4 Research & Development Expenses
    • 11.4.5 Recent strategies and developments:
      • 11.4.5.1 Product Launches and Product Expansions:
      • 11.4.5.2 Acquisition and Mergers:
    • 11.4.6 SWOT Analysis
  • 11.5 Capgemini SE
    • 11.5.1 Company Overview
    • 11.5.2 Financial Analysis
    • 11.5.3 Regional Analysis
    • 11.5.4 SWOT Analysis
  • 11.6 Optum, Inc. (UnitedHealth Group, Inc.)
    • 11.6.1 Company Overview
    • 11.6.2 Financial Analysis
    • 11.6.3 Segmental Analysis
    • 11.6.4 Recent strategies and developments:
      • 11.6.4.1 Product Launches and Product Expansions:
  • 11.7 ZS Associates, Inc.
    • 11.7.1 Company Overview
    • 11.7.2 Recent strategies and developments:
      • 11.7.2.1 Product Launches and Product Expansions:
      • 11.7.2.2 Acquisition and Mergers:
  • 11.8 Nextgen healthcare, inc.
    • 11.8.1 Company Overview
    • 11.8.2 Recent strategies and developments:
      • 11.8.2.1 Partnerships, Collaborations, and Agreements:
      • 11.8.2.2 Product Launches and Product Expansions:
    • 11.8.3 SWOT Analysis
  • 11.9 IntegriChain, Inc.
    • 11.9.1 Company Overview
    • 11.9.2 Recent strategies and developments:
      • 11.9.2.1 Partnerships, Collaborations, and Agreements:
      • 11.9.2.2 Product Launches and Product Expansions:
      • 11.9.2.3 Acquisition and Mergers:
  • 11.10. Informatica Inc.
    • 11.10.1 Company Overview
    • 11.10.2 Financial Analysis
    • 11.10.3 Regional Analysis
    • 11.10.4 Research & Development Expenses
    • 11.10.5 Recent strategies and developments:
      • 11.10.5.1 Product Launches and Product Expansions:
    • 11.10.6 SWOT Analysis

Chapter 12. Winning Imperatives of Patient Data Hub Solutions Market

»ùÇà ¿äû ¸ñ·Ï
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
¸ñ·Ï º¸±â
Àüü»èÁ¦