![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1380253
¼¼°èÀÇ ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀå(2023-2030³â)Global Healthcare Predictive Analytics Market 2023-2030 |
¼¼°è ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀåÀº ¿¹Ãø ±â°£ µ¿¾È 25.5%ÀÇ CAGR·Î Å©°Ô ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÇコÄÉ¾î ¿¹Ãø ºÐ¼®Àº ÀÇ·á±â°ü, º´¿ø ¹× Àǻ簡 ȯÀÚ µ¥ÀÌÅÍ¿¡ Á¢±Ù, ºÐ¼® ¹× ó¸®ÇÏ¿© µ¥ÀÌÅÍ ±â¹Ý ¾çÁúÀÇ Ä¡·á, Á¤È®ÇÑ Áø´Ü ¹× ¸ÂÃãÇü Ä¡·á¸¦ Á¦°øÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù. 2023³â 8¿ù, ÇコÄɾî Á¤º¸°ü¸®½Ã½ºÅÛÇÐȸ(HIMSS)¿Í ÇコÄÉ¾î µ¥ÀÌÅÍ ºÐ¼® ±â¾÷ ¾ÆÄ«µð¾Æ°¡ ½Ç½ÃÇÑ ÇコÄÉ¾î ºÐ¼® Ç÷§Æû ÇöȲ Á¶»ç¿¡ µû¸£¸é, Áö´ÉÇü ºñÁö´Ï½º ÀÇ»ç°áÁ¤¿¡ Ȱ¿ëµÇ´Â ÀÇ·á ½Ã½ºÅÛ µ¥ÀÌÅÍ´Â 60% ¹Ì¸¸ÀÎ °ÍÀ¸·Î ³ªÅ¸³µ½À´Ï´Ù.
°íǰÁú µ¥ÀÌÅÍ¿¡ ´ëÇÑ Á¢±Ù, Á¶Á÷ ±Ô¸ð, ºÐ¼® ÅõÀÚ °úÁ¦, µ¥ÀÌÅÍ Á¤È®µµ, µ¥ÀÌÅÍ È°¿ëÀº ÇöÀç ÇコÄÉ¾î µ¥ÀÌÅÍ ºÐ¼®ÀÇ »óȲ¿¡¼ Å« ¿ªÇÒÀ» Çϰí ÀÖ½À´Ï´Ù. 2023³â 3¿ù, SpectrumAi´Â ½Ã¸®Áî A¿¡¼ 2,000¸¸ ´Þ·¯ÀÇ ÀÚ±ÝÀ» Á¶´ÞÇß½À´Ï´Ù. ÅõÀÚ. À̹ø ÀÚ±Ý Á¶´ÞÀº ȸ»çÀÇ ÀÀ¿ë Çൿ ºÐ¼®(ABA) ÀüÀÚ ÀÇ·á ±â·Ï 'Twyll'°ú ³×Æ®¿öÅ© ºÐ¼® Ç÷§Æû 'Patterns'¿¡ ÈûÀ» ½Ç¾îÁÙ °ÍÀÔ´Ï´Ù. ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ±â¼ú¿¡ ´ëÇÑ ÅõÀÚ È®´ë´Â ¼¼°è ½ÃÀå ¼ºÀå¿¡ À¯¸®ÇÑ ±âȸ¸¦ Á¦°øÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
ÀÓ»ó µ¥ÀÌÅÍ ºÐ¼®Àº ¼³¸í °¡´ÉÇÑ È¯ÀÚ Ä¡·á¸¦ µµÀÔÇϱâ À§ÇØ ³ë·ÂÇÏ´Â ÀÇ·á ¼ºñ½º Á¦°øÀÚµé »çÀÌ¿¡¼ IT ¾÷üµéÀÌ ÁÖ¸ñÇÏ´Â Áß¿äÇÑ ºÐ¾ß·Î ºÎ»óÇϰí ÀÖ½À´Ï´Ù. ÀÓ»ó ºÐ¼®Àº ½Ç½Ã°£ ÀÇ·á µ¥ÀÌÅ͸¦ Ȱ¿ëÇÏ¿© ÀλçÀÌÆ®¸¦ ¾ò°í, ÀÇ»ç°áÁ¤À» ³»¸®°í, ¼öÀÍÀ» ´Ã¸®°í, ºñ¿ëÀ» Àý°¨ÇÒ ¼ö ÀÖµµ·Ï ÇÏ´Â ºÐ¾ßÀÔ´Ï´Ù. Á¶Á÷¿¡¼ ÀÓ»ó ºÐ¼®ÀÇ µµÀÔÀº ¾à¹° ¿À³²¿ëÀ» ÁÙÀ̰í, Áý´Ü À§»ýÀ» °³¼±Çϸç, ¸¹Àº Á¶Á÷¿¡¼ ºñ¿ëÀ» Àý°¨ÇÏ´Â µ¥ ±â¿©Çϰí ÀÖ½À´Ï´Ù. ÁÖ¿ä ±â¼úÀÇ ±Þ¼ÓÇÑ ¹ßÀü°ú ÀüÀڰǰ±â·Ï(EHR)ÀÇ µµÀÔÀº ÀÌ ½ÃÀå ºÎ¹®ÀÇ ¼ºÀåÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. ½º¸¶Æ® ¸ð¹ÙÀÏ ±â±â¿Í ¾Û °æÁ¦ÀÇ ÃâÇöÀ¸·Î ȯÀÚµéÀº º´¿ø¿¡¼ ¾çÁúÀÇ Áø·á¸¦ ±â´ëÇÏ°Ô µÇ¾úÀ¸¸ç, ÀÌ´Â ÀÌ ½ÃÀå ºÎ¹®ÀÇ ¼ºÀå¿¡ ´õ¿í ±â¿©Çϰí ÀÖ½À´Ï´Ù.
¼¼°è ÇコÄÉ¾î ¿¹Ãø ºÐ¼® ½ÃÀåÀº ºÏ¹Ì(¹Ì±¹ ¹× ij³ª´Ù), À¯·´(ÀÌÅ»¸®¾Æ, ½ºÆäÀÎ, µ¶ÀÏ, ÇÁ¶û½º, ±âŸ), ¾Æ½Ã¾ÆÅÂÆò¾ç(Àεµ, Áß±¹, ÀϺ», Çѱ¹, ±âŸ), ±âŸ Áö¿ª(Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«, ¶óƾ¾Æ¸Þ¸®Ä«) µî Áö¿ªº°·Î ¼¼ºÐȵǾî ÀÖ½À´Ï´Ù. ¸ðµç Áö¿ª Áß ¾Æ½Ã¾ÆÅÂÆò¾çÀº ¿¹Ãø ±â°£ µ¿¾È »ó´çÇÑ CAGR·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ Áö¿ªÀÇ ¼ºÀåÀº ÇコÄÉ¾î ºÐ¼®¿¡ ´ëÇÑ ÅõÀÚ¿Í ÇÔ²² Á¤±³ÇÑ ÇコÄɾî ÀÎÇÁ¶ó¿Í ÇÔ²² ³ëÀÎ Àα¸ÀÇ Áõ°¡¿¡ ±âÀÎÇÕ´Ï´Ù. ¶ÇÇÑ, ÀÇ·á ±â°ü¿¡¼ AI, ML ¹× ºÐ¼®ÀÇ Àû¿ëÀ» ÃËÁøÇϱâ À§ÇÑ Á¤ºÎ ÀÌ´Ï¼ÅÆ¼ºêÀÇ Áõ°¡´Â ÀÌ Áö¿ªÀÇ ½ÃÀå ¼ºÀå¿¡ ´õ¿í ±â¿©Çϰí ÀÖ½À´Ï´Ù.
¸¸¼º Áúȯ¿¡ °É¸®±â ½¬¿î °Å´ëÇÑ ³ëÀÎ Àα¸ÀÇ Á¸Àç¿Í ´õ ³ªÀº ȯÀÚ Ä¡·á¸¦ À§ÇÑ ¿¹Ãø ºÐ¼® Ȱ¿ë¿¡ ´ëÇÑ ÀÇ·á±â°üÀÇ °ü½É Áõ°¡´Â ÀÌ Áö¿ª ½ÃÀåÀÇ ³ôÀº Á¡À¯À²¿¡ ±â¿©ÇÏ´Â ÁÖ¿ä ¿äÀÎ Áß ÀϺÎÀÔ´Ï´Ù. ¿¹Ãø ºÐ¼® Ç÷§Æû ½ºÅ¸Æ®¾÷¿¡ ´ëÇÑ ÀÚ±Ý Á¶´ÞÀÇ Áõ°¡´Â Áö¿ª ½ÃÀå ¼ºÀå¿¡ ´õ¿í ±â¿©Çϰí ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î, 2021³â 7¿ù ½Å½Ã³»Æ¼¿¡ º»»ç¸¦ µÐ º»¼¼ÄÁµå ¸Ó½Ã Çコ(Bon Secours Mercy Health)´Â ÀÇ·á ºÐ¼® ȸ»çÀÎ Æ®¸®¸®¾ÈÆ® Çコ(Trilliant Health)¿¡ Àü·«Àû ÅõÀÚ¸¦ ´ÜÇàÇß½À´Ï´Ù. ÀÌ °Ç° ½Ã½ºÅÛÀÇ ¸ñÀûÀº TrilliantÀÇ ¿¹Ãø ºÐ¼® Ç÷§Æû °³¹ßÀ» °¡¼ÓÈÇÏ°í ±¹°¡ ¹× Áö¿ª ÀÇ·á µ¿Çâ¿¡ ´ëÇÑ µ¥ÀÌÅÍ¿¡ Á¢±ÙÇÏ´Â °ÍÀÔ´Ï´Ù.
¿¹¸¦ µé¾î, 2021³â 10¿ù µðÁöÅÐ ÇൿÀÇÇÐ ±â¾÷ SonderMind´Â Á¤½Å°Ç° »ýü µ¥ÀÌÅ͸¦ Ȱ¿ëÇØ ÀáÀçÀû Ä¡·á ¿É¼ÇÀ» Á¦¾ÈÇÏ´Â ¿¹Ãø ºÐ¼® Ç÷§Æû Qntfy¸¦ ÀμöÇß½À´Ï´Ù. ¹× Á÷Á¢ ¹æ¹®À» ÅëÇØ ȯÀÚ¿Í Ä¡·á»ç¸¦ ¿¬°áÇϰí, °áÁ¦ ¹× ¿ø°Ý Áø·á¿Í °°Àº ¿î¿µÀ» °ü¸®ÇÕ´Ï´Ù. À̹ø Àμö¸¦ ÅëÇØ ȸ»ç´Â Á¤½Å°ú ÀÇ·á ¼ºñ½º Á¦°øÀÚ°¡ Ãß°¡ ÀÛ¾÷ ¾øÀ̵µ µ¥ÀÌÅ͸¦ ÅëÇØ °³ÀÎÈµÈ Ä¡·á¸¦ Á¦°øÇÒ ¼ö ÀÖ°Ô µÆ½À´Ï´Ù.
°°Àº ´Þ, ½Ã±×³ÍÆ® Çコ(Signant Health)´Â ÀÓ»ó½ÃÇè ÀÇ·ÚÀÚ ¹× ÀÓ»ó½ÃÇè¼öʱâ°ü(CRO)ÀÇ Áõ°¡ÇÏ´Â ÀÓ»ó½ÃÇè µ¥ÀÌÅ͸¦ °ü¸®ÇÒ ¼ö ÀÖµµ·Ï µ½´Â µ¥ÀÌÅÍ ÅëÇÕ ¹× ºÐ¼® ¼ÒÇÁÆ®¿þ¾îÀÇ ¼±µµÀû °ø±Þ¾÷üÀÎ ¼ÒÆ®½ºÇǾî(SortSphere)¿¡ Àü·«Àû ÅõÀÚ¸¦ ´ÜÇàÇß½À´Ï´Ù. À̹ø ÅõÀÚ·Î ½Ã±×³ÍÆ®´Â µ¥ÀÌÅÍ ¼öÁý¿¡ ±×Ä¡Áö ¾Ê°í, ±ÔÁ¦ ´ç±¹¿¡ Á¦ÃâÇÏ´Â ¼·ù ÀÛ¼º ¹× Á¦Ãâ¿¡ À̸£±â±îÁö ÆäÀ̼¾Æ®ÀÇ Àü °úÁ¤À» ¾Æ¿ì¸£´Â »õ·Î¿î ±âȸ¸¦ °í°´¿¡°Ô Á¦°øÇÒ ¼ö ÀÖ°Ô µÆ½À´Ï´Ù.
Title: Global Healthcare Predictive Analytics Market Size, Share & Trends Analysis Report by Component (Software, Services), By Deployment Model (Cloud Based, On-premises), and by Application (Clinical Data Analytics, Financial Data Analytics, Research Data Analytics, Operations Management, and Others),Forecast Period (2023-2030).
Global healthcare predictive analytics market is anticipated to grow at a significant CAGR of 25.5% during the forecast period. Healthcare predictive analytics support healthcare organizations, hospitals, and doctors to access, analyze, and process patient data to provide data-based quality care, accurate diagnosis, and personalized treatments. In August 2023, a survey conducted by the Healthcare Information and Management Systems Society (HIMSS) and healthcare data analytics company Arcadia about the current state of healthcare analytics platforms demonstrates that less than 60 percent of health systems' data is used to inform intelligent business decisions.
Access to high-quality data, organization size, analytics investment challenges, data accuracy, and data utilization play major roles in the current healthcare data analytics landscape. In March 2023, SpectrumAi raised $20 million in Series A funding, with investment led by CVS Health Ventures. The funding will help the startup push its applied behavior analysis (ABA) electronic health record, Twyll, and Patterns, its network analytics platform. The growing investment in healthcare predictive analytics technologies is anticipated to offer lucrative opportunities for the growth of the global market.
The global healthcare predictive analytics market is segmented based on component, deployment model, and application. Based on components, the market is segmented into software and services. Based on the deployment model, the market is segmented into cloud-based and on-premises. Based on application, the market is segmented into clinical data analytics, financial data analytics, research data analytics, operations management, and others.
Clinical data analytics has emerged as a significant area of focus for IT players among healthcare providers, who are moving toward adopting accountable patient care. Clinical analytics is a field that makes use of real-time medical data to generate insights, make decisions, increase revenues, and save on costs. The implementation of clinical analytics in organizations has led to reduced medication errors, improved population health, and cost savings for many organizations. The rapid advancements in key technologies and the adoption of electronic health records (EHRs) have led to the growth of this market segment. With the emergence of smart mobile devices and the app economy, patients expect high-quality care in hospitals which has further contributed to the growth of this market segment.
The global healthcare predictive analytics market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among all regions, the Asia-Pacific region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the growing geriatric population coupled with sophisticated healthcare infrastructure along with investment in healthcare analytics. Moreover, an increasing number of government initiatives that aim to promote the application of AI, ML, and analytics in healthcare organizations are further contributing to the regional market growth.
The presence of a huge geriatric population which is highly prone to chronic disorders and the rising interest of healthcare organizations towards utilization of predictive analytics for better patient care are some of the prominent factors contributing to the high share of the regional market. The growing funding for predictive analytics platform startups is further contributing to regional market growth. For instance, in July 2021, Cincinnati-based Bon Secours Mercy Health made a strategic investment in healthcare analytics firm Trilliant Health. The health system's goal is to accelerate the development of Trilliant's predictive analytics platform, while also gaining access to data on national and local healthcare trends.
The major companies serving the global healthcare predictive analytics market include: Cerner Corp., Information Builders Inc., IBM Corp., Oracle Corp., and Health Catalyst among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.
For instance, in October 2021, Digital behavioral health company SonderMind acquired Qntfy, a predictive analytics platform that uses mental health biometric data to suggest potential treatment options. SonderMind's platform connects patients with therapists for virtual and in-person visits while managing operations like payments and the telehealth suite. The deal will allow the company to deliver personalized care using data without loading that extra work on mental healthcare providers.
In the same month, Signant Health made a strategic investment in ThoughtSphere, a leading provider of data aggregation and analytics software that helps clinical trial sponsors and contract research organizations (CROs) take control over the increasing volume and variety of clinical trial data. With this investment, Signant now offers customers additional opportunities beyond data capture to cover the full continuum of the patient-data journey, up to the point of regulatory dossier and submission.