¼¼°èÀÇ ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå : µ¥ÀÌÅÍ À¯Çüº°, ¿ëµµº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº° ½ÃÀå ÇöȲ
De-identified Health Data Market, By Type of Data, By Application, By End User, By Geography
»óǰÄÚµå : 1608860
¸®¼­Ä¡»ç : Coherent Market Insights
¹ßÇàÀÏ : 2024³â 11¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹®
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,500 £Ü 6,385,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 7,000 £Ü 9,933,000
PDF (Multi User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ »ç¾÷Àå¿¡¼­ 7¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 10,000 £Ü 14,191,000
PDF (Enterprise User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


¤± Add-on °¡´É: °í°´ÀÇ ¿äû¿¡ µû¶ó ÀÏÁ¤ÇÑ ¹üÀ§ ³»¿¡¼­ CustomizationÀÌ °¡´ÉÇÕ´Ï´Ù. ÀÚ¼¼ÇÑ »çÇ×Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

Çѱ۸ñÂ÷

ºñ½Äº°È­µÈ °Ç°­ µ¥ÀÌÅÍ ½ÃÀåÀº 2024³â 75¾ï 1,000¸¸ ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. 2024³âºÎÅÍ 2031³â±îÁö ¿¬Æò±Õ º¹ÇÕ ¼ºÀå·ü(CAGR) 9.1%·Î 2031³â¿¡´Â 138¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

º¸°í ¹üÀ§ º¸°í¼­ »ó¼¼³»¿ë
±âÁØ ¿¬µµ 2023³â 2024³â ½ÃÀå ±Ô¸ð 75¾ï 1,000¸¸ ´Þ·¯
½ÇÀû µ¥ÀÌÅÍ 2019-2023³â ¿¹Ãø ±â°£ 2024-2031³â
¿¹Ãø ±â°£(2024-2031³â) CAGR: 9.10% 2031³â ¸ÅÃâ Àü¸Á 138¾ï ´Þ·¯
±×¸². ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå Á¡À¯À²(%), Áö¿ªº°, 2024³â
De-identified Health Data Market-IMG1

ºñ½Äº°È­ ÀÇ·á µ¥ÀÌÅÍ ½ÃÀåÀÇ ¼ºÀåÀº ½Å¾à °³¹ß ¹× Á¤¹ÐÀǷḦ À§ÇÑ ¿¬±¸ °³¹ß Ȱµ¿ Áõ°¡¿¡ ±âÀÎÇÕ´Ï´Ù. ºñ½Äº°È­´Â °Ç°­ µ¥ÀÌÅÍ ¼¼Æ®¿¡¼­ À̸§, »ý³â¿ùÀÏ, »çȸº¸Àå¹øÈ£¿Í °°Àº ½Äº°ÀÚ¸¦ Á¦°ÅÇÏ¿© ȯÀÚÀÇ ÇÁ¶óÀ̹ö½Ã¿Í ±â¹Ð¼ºÀ» º¸ÀåÇÕ´Ï´Ù. À̸¦ ÅëÇØ ¿¬±¸ÀÚ¿Í »ý¸í°úÇÐ ±â¾÷µéÀº À±¸®¼ºÀ» ÈѼÕÇÏÁö ¾ÊÀ¸¸é¼­µµ »õ·Î¿î Ä¡·á¹ý °³¹ß ¹× ¿ªÇÐ ¿¬±¸¸¦ À§ÇØ ´ë·®ÀÇ °Ç°­ µ¥ÀÌÅ͸¦ Ȱ¿ëÇÒ ¼ö ÀÖ½À´Ï´Ù. Àü ¼¼°èÀûÀ¸·Î °Ç°­ ±â·ÏÀÇ µðÁöÅÐÈ­°¡ °¡¼ÓÈ­µÊ¿¡ µû¶ó 2Â÷ÀûÀ¸·Î Ȱ¿ë °¡´ÉÇÑ ºñ½Äº°È­ µ¥ÀÌÅÍÀÇ ¾çÀº Áõ°¡ÇÒ °ÍÀÔ´Ï´Ù.

½ÃÀå ¿ªÇÐ

°¡Ä¡ ±â¹Ý Ä¡·á, °³ÀÎ ¸ÂÃãÇü Ä¡·á, µðÁöÅÐ Çコ ½ºÅ¸Æ®¾÷ÀÇ ¼ºÀå¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö¸é¼­ Àü ¼¼°èÀûÀ¸·Î ºñ½Äº°È­ ÀÇ·á µ¥ÀÌÅÍ¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÒ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù. ±×·¯³ª µ¥ÀÌÅÍ Ç¥ÁØÈ­ÀÇ ºÎÁ·°ú ÁöÀûÀç»ê±Ç¿¡ ´ëÇÑ ¸ðÈ£ÇÔÀÌ ½ÃÀåÀÇ ÀáÀç·ÂÀ» ÀúÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. °í±Þ ºÐ¼® ±â´ÉÀÇ °³¹ßÀº ±â¾÷ÀÌ ÅëÇÕµÈ µ¥ÀÌÅÍ Àڻ꿡¼­ ´õ ±íÀº ÅëÂû·ÂÀ» ¾òÀ» ¼ö ÀÖ´Â ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. Á¤ºÎÀÇ °³¹æÇü µ¥ÀÌÅÍ °øÀ¯ ÀÌ´Ï¼ÅÆ¼ºêÀÇ È®´ë´Â ÀÌ·¯ÇÑ µ¥ÀÌÅÍ ¼¼Æ®¿¡ ´ëÇÑ Á¢±Ù¼ºÀ» È®´ëÇÒ ¼ö ÀÖ½À´Ï´Ù. ¹Ì±¹ Á¤ºÎ´Â Data.gov¿Í HealthData.gov¿Í °°Àº ÀÌ´Ï¼ÅÆ¼ºê¸¦ ÅëÇØ °øÁߺ¸°Ç ¿¬±¸ÀÇ Åõ¸í¼º°ú Çõ½ÅÀ» ÃËÁøÇϱâ À§ÇØ ´Ù¾çÇÑ °Ç°­ °ü·Ã µ¥ÀÌÅÍ ¼¼Æ®¿¡ ´ëÇÑ °³¹æÇü ¾×¼¼½º¸¦ Á¦°øÇÕ´Ï´Ù.

º» Á¶»çÀÇ ÁÖ¿ä Æ¯Â¡

ÀÌ º¸°í¼­´Â ¼¼°èÀÇ ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀåÀ» »ó¼¼ÇÏ°Ô ºÐ¼®ÇßÀ¸¸ç, 2023³âÀ» ±âÁØ ¿¬µµ·Î ÇÏ¿© ¿¹Ãø ±â°£(2024-2031³â) ½ÃÀå ±Ô¸ð(¹ÌÈ­ 10¾ï ´Þ·¯)¿Í ¿¬Æò±Õ ¼ºÀå·ü(CAGR)À» Á¶»çÇÏ¿© Á¤¸®ÇÑ º¸°í¼­ÀÔ´Ï´Ù.

¶ÇÇÑ, ´Ù¾çÇÑ ºÎ¹®¿¡ °ÉÄ£ ÀáÀçÀû ¼öÀÍ ±âȸ¸¦ ¹àÈ÷°í, ÀÌ ½ÃÀåÀÇ ¸Å·ÂÀûÀÎ ÅõÀÚ Á¦¾È ¸ÅÆ®¸¯½º¸¦ ¼³¸íÇÕ´Ï´Ù.

¶ÇÇÑ ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ, ¾ïÁ¦¿äÀÎ, ±âȸ, ½ÅÁ¦Ç° Ãâ½Ã ¹× ½ÂÀÎ, ½ÃÀå µ¿Çâ, Áö¿ªº° Àü¸Á, ÁÖ¿ä ±â¾÷ÀÇ °æÀï Àü·« µî¿¡ ´ëÇÑ Áß¿äÇÑ °í·Á»çÇ×µµ Á¦°øÇÕ´Ï´Ù.

±â¾÷ ÇÏÀ̶óÀÌÆ®, Á¦Ç° Æ÷Æ®Æú¸®¿À, ÁÖ¿ä ÇÏÀ̶óÀÌÆ®, À繫 ¼º°ú ¹× Àü·«°ú °°Àº ¸Å°³ º¯¼ö¸¦ ±â¹ÝÀ¸·Î ¼¼°è ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷À» ÇÁ·ÎÆÄÀϸµÇÕ´Ï´Ù.

Á¶»ç ´ë»ó ÁÖ¿ä ±â¾÷À¸·Î´Â IQVIA, Oracle(Cerner Corporation), Merative(Truven Health Analytics), ¿ÉÅÒ(Optum, Inc.), BioTelemetry, Inc., Flatiron Health, Veradigm LLC, Medidata Solutions, Evidation Health, Inc, Satori Cyber Ltd., Tempus, nference, Ciox Health, HealthVerity, Zebra Medical Vision, Huma Therapeutics µîÀÌ ÀÖ½À´Ï´Ù.

ÀÌ º¸°í¼­ÀÇ ÅëÂû·ÂÀ» ÅëÇØ ¸¶ÄÉÆÃ ´ã´çÀÚ¿Í ±â¾÷ °æ¿µÁøÀº ÇâÈÄ Á¦Ç° Ãâ½Ã, À¯ÇüÈ­, ½ÃÀå È®´ë ¹× ¸¶ÄÉÆÃ Àü¼ú¿¡ ´ëÇÑ Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤À» ³»¸± ¼ö ÀÖ½À´Ï´Ù.

¼¼°è ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå º¸°í¼­´Â ÅõÀÚÀÚ, °ø±Þ¾÷ü, Á¦Ç° Á¦Á¶¾÷ü, À¯Åë¾÷ü, ½Å±Ô ½ÃÀå ÁøÃâ±â¾÷, À繫 ºÐ¼®°¡ µî ¾÷°èÀÇ ´Ù¾çÇÑ ÀÌÇØ°ü°èÀÚ¸¦ ´ë»óÀ¸·Î ÇÕ´Ï´Ù.

ÀÌÇØ°ü°èÀÚµéÀº ¼¼°è ºñ½Äº°È­ ÀÇ·á µ¥ÀÌÅÍ ½ÃÀå ºÐ¼®¿¡ »ç¿ëµÇ´Â ´Ù¾çÇÑ Àü·« ¸ÅÆ®¸¯½º¸¦ ÅëÇØ ÀÇ»ç°áÁ¤À» ¿ëÀÌÇÏ°Ô ÇÒ ¼ö ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¸ñÀû°ú ÀüÁ¦Á¶°Ç

Á¦2Àå ½ÃÀå Àü¸Á

Á¦3Àå ½ÃÀå ¿ªÇÐ, ±ÔÁ¦, µ¿Ç⠺м®

Á¦4Àå ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå, µ¥ÀÌÅÍ À¯Çüº°, 2019³â-2031³â

Á¦5Àå ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå, ¿ëµµº°, 2019³â-2031³â

Á¦6Àå ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå, ÃÖÁ¾»ç¿ëÀÚº°, 2019³â-2031³â

Á¦7Àå ºñ½Äº°È­ °Ç°­ µ¥ÀÌÅÍ ½ÃÀå, Áö¿ªº°, 2019³â-2031³â

Á¦8Àå °æÀï ±¸µµ

Á¦9Àå ¾Ö³Î¸®½ºÆ® Ãßõ »çÇ×

Á¦10Àå Âü°í ¹®Çå°ú Á¶»ç ¹æ¹ý

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

De-identified health data market is estimated to be valued at USD 7.51 Bn in 2024 and is expected to reach USD 13.80 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 9.1% from 2024 to 2031.

Report Coverage Report Details
Base Year: 2023 Market Size in 2024: 7.51 Bn
Historical Data for: 2019 to 2023 Forecast Period: 2024 to 2031
Forecast Period 2024 to 2031 CAGR: 9.10% 2031 Value Projection: 13.80 Bn
Figure. De-identified Health Data Market Share (%), By Region, 2024
De-identified Health Data Market - IMG1

De-identified health data market growth is driven by increasing research and development activities for drug discovery and precision medicine. De-identification ensures patient privacy and confidentiality by removing identifiers such as name, date of birth, social security number, and others from health data sets. This allows researchers and life science companies to utilize large pools of health data for developing novel therapies and epidemiological studies without compromising on ethics. As digitization of health records accelerates across the world, there will be increase in amount of de-identified data available for secondary usage.

Market Dynamics

Rising focus on value-based care, personalization of treatment, and growth of digital health startups can boost demand for de-identified health data globally. However, lack of data standardization and ambiguity over intellectual property rights can hamper the market potential. Development of advanced analytics capabilities offers an opportunity for players to unlock deeper insights from pooled data assets. Growing open data sharing initiatives by governments can widen the access to these data sets. The U.S. government has launched initiatives like Data.gov and HealthData.gov that offers open access to a wide range of health-related datasets to encourage transparency and innovation in public health research.

Key features of the study

This report provides in-depth analysis of the global de-identified health data market, and provides market size (USD Bn) and compound annual growth rate (CAGR%) for the forecast period (2024-2031), considering 2023 as the base year

It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market

This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players

It profiles key players in the global de-identified health data market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies

Key companies covered as a part of this study include IQVIA, Oracle (Cerner Corporation), Merative (Truven Health Analytics), Optum, Inc., BioTelemetry, Inc., Flatiron Health, Veradigm LLC, Medidata Solutions, Evidation Health, Inc., Komodo Health, Inc., Sundown Solutions, LLC, Clarify Health Solutions, Akrivia Health, Satori Cyber Ltd., Tempus, nference, Ciox Health, HealthVerity, Zebra Medical Vision, and Huma Therapeutics

Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics

Global de-identified health data market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global de-identified health data market

Market Segmentation

Table of Contents

1. Research Objectives and Assumptions

2. Market Purview

3. Market Dynamics, Regulations, and Trends Analysis

4. De-identified Health Data Market, By Type of Data, 2019-2031, (USD Bn)

5. De-identified Health Data Market, By Application, 2019-2031, (USD Bn)

6. De-identified Health Data Market, By End User, 2019-2031, (USD Bn)

7. De-identified Health Data Market, By Region, 2019 - 2031, (USD Bn)

8. Competitive landscape

9. Analyst Recommendations

10. References and Research Methodology

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