The Hottest Trend in the Market:
With the shift of technology towards all sectors of healthcare, clinical data analytics has become an increasingly important market nowadays. It helps to extracts data from EHRs and health information exchange to analyze patient populations and proactively provide quality of care to them. Clinical Analytics helps to ameliorate patient outcomes and it minimize avoidable readmissions in hospitals. It helps hospitals to move towards value based quality of care. The effective Clinical Data Analytics solutions accesses the information and presents it in such a way to offer results that are more beneficial and assist in providing more specific care, especially to those individuals with a diversified medical history. There is an increasing number of healthcare groups who are currently looking towards analytics solutions for effective population health management, and more & more clinical data and health records are going digital. To understand exactly what this system of analytics is and how it is beneficial in the healthcare field is becoming essential.
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Among the Application; quality care, population health management, clinical detection support, precision health and reporting & compliance are compositing the growth of the market. It is projected to grow at a steady pace from the period of 2013 to 2022. The market for Clinical Data Analytics application is growing rapidly. Due to the growing shift toward new payment models and the sheer amount of clinical data contained in electronic health records and increasing number of healthcare groups looking to analytics solutions for population health management.
Regional Analysis:
The Global Market for Clinical Data Analytics is growing rapidly. The market for Clinical Data Analytics is growing with the CAGR of 30.90% during the forecast period from 2016-2022. North America accounts for largest market share in 2015 and is expected to reach USD 6,293.2 million by 2022. This is attributed to the factors such as emanation of big data in healthcare, establishment of healthcare policies by government, increase in clinical data management for better healthcare outcomes, increasing technological advancements and growing research and development for precision medicines. Europe is the second largest market with the market value of USD 505.8 million in 2015.
Asia-Pacific region is the fastest growing market for Clinical Data Analytics, which is expected to grow at a CAGR of 31.42% during the forecast period from 2016 to 2022. Increasing awareness regarding the use of big data analytics by the healthcare providers has spurred the growth of Clinical Data Analytics in this region.
Segmentation:
Global Clinical Data Analytics Market has been segmented on the basis of Deployment model which comprises of on-premise and cloud based.
On the basis of Application, the market is segmented into quality care, population health management, clinical detection support, precision health and reporting and compliance.
On the basis of End User, the market is segmented into pharmaceutical companies, healthcare providers, academics & research institutes and others.
This report includes a study of strategies, of major market players. It includes the product portfolios, developments of leading major players such as Athenahealth Inc. (U.S.), Cerner (U.S.), International Business Machines Corporation (U.S.), McKesson (U.S.), Xerox (U.S.) and others.
This research report has provides the insights, on various levels of analyses such industry analysis, market share analysis leading market players and their profiles. This report also helps in studying the target segments by providing views on emerging & high-growth segments and market conclusion. Together the market data comprise and discuss with the basic assessments on the competitive scenarios & strategies, of the Global Clinical Data Analytics Market, including the high-growth regions, countries and their political, economic and technological environments. Furthermore the project report also provides the views over the historical market values as well as, pricing and cost analysis of the same.
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