The report for Global Clinical Data Analytics Market of Market Research Future comprises of extensive primary research along with the detailed analysis of qualitative as well as quantitative aspects by various industry experts, key opinion leaders to gain the deeper insight of the market and industry performance. The report gives the clear picture of current market scenario which includes historical and projected market size in terms of value and volume, technological advancement, macro economical and governing factors in the market. The report provides details information and strategies of the top key players in the industry. The report also gives a broad study of the different markets segments and regions The global for Clinical Data Analytics Market is expected to reach USD 11,853.6 million by the end of the forecasted period and is expected to grow at a CAGR of 30.90%. Healthcare sector is taking innumerable approaches to address their analytical needs including claims and clinical data to provide quality of care to the patients. Clinical data analytics is a new approach which is shifting towards new payment models and the sheer amount of clinical data contained in Electronic Health Records (EHR). Nowadays, more and more healthcare professionals are looking towards analytics solutions for population management solutions.
Clinical Data Analytics Market Key Finding:
The Global Clinical Data Analytics Industry and is expected to reach USD 11,853.6 million by 2022.
By deployment model, On-Premise holds the largest market share of global clinical data analytics market and is expected to reach USD 7,862.48 million by 2022.
By Application, quality care holds the largest market share of Global Clinical Data Analytics Market is expected to reach USD 3,443.0 million by 2022.
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Key Players for Global Clinical Data Analytics Market:
Athenahealth Inc. (U.S.), Cerner (U.S.), International Business Machines Corporation (U.S.), McKesson (U.S.), Xerox (U.S.) and others.
Global Clinical Data Analytics Market Segments:
Global Clinical Data Analytics Market has been segmented on the basis of deployment model which comprises 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.
Regional Analysis of Global Clinical Data Analytics Market:
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.
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.
Brief TOC:
1 Introduction
1.1 Scope Of Study
1.2 Research Objective
1.3 Assumptions & Limitations
1.3.1 Assumptions
1.3.2 Limitations
1.4 Market Structure
2 Research Methodology
2.1 Primary Research
2.2 Secondary Research
3 Market Dynamics
3.1 Introduction
3.2 Drivers
3.2.1 Government Initiatives To Promote Big Data Will Spur The Growth Of This Market
3.2.2 Technological Advancements (Mhealth, IoT And Wearable Devices) Will Boost The Growth Of The Market
3.2.3 Pressure To Curb Healthcare Costs Has Fuelled The Growth Of The Market
3.3 Restraints
3.3.1 Reluctance To Share Information Regarding The Health With The Third Party Has Limit The Growth Of The Market
3.3.2 Power Backup Issues With Big Data Accessing Smart Devices Will Restraint The Growth Of The Market
3.4 Opportunities
3.4.1 Increasing R&D For Precision Medicine Will Strengthen The Market For Clinical Data Analytics
3.4.2 Value Based Care Will Spurred The Growth For Clinical Data Analytics
3.5 Challenges
3.5.1 Lack Of Interoperability Among Data Source Generators
3.5.2 Adhering To The Regulatory Requirements
3.5.3 Big Data Collection And Its Privacy Concerns
4 Market Factor Analysis
4.1 Porter’s Five Forces Analysis
4.1.1 Threat Of New Entrants
4.1.2 Bargaining Power Of Buyers
4.1.3 Bargaining Power Of Suppliers
4.1.4 Threat Of Substitute Products Or Services
4.1.5 Rivalry Among Existing Firms
4.2 Value Chain Analysis
4.2.1 Healthcare Data
4.2.2 Healthcare Data Processing
4.2.3 Healthcare Data Reporting
4.2.4 Advanced Analytics Solutions
…TOC Continued
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