The global market for clinical data analytics 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.
Top key players in this Clinical Data Analytics Market are: Athenahealth Inc. (U.S.), Cerner (U.S.), International Business Machines Corporation (U.S.), McKesson (U.S.), Xerox (U.S.) and others.
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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.
The global clinical data analytics market 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.
The global Clinical Data Analytics Market 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.
Study Objectives Global Clinical Data Analytics Market:
To provide detailed analysis of the market structure along with forecast for the next 5 years of the various segments and sub-segments of the Global Clinical Data Analytics Market
To provide insights about factors affecting the market growth
To analyze the market based on various factors- price analysis, supply chain analysis, porters five force analysis etc.
To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- Americas, Europe, Asia-Pacific, and Middle East & Africa.
To provide country level analysis of the market with respect to the current market size, volume, average selling price and future prospective
To provide overview of key players and their strategic profiling in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.
To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments globally.
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TABLE OF CONTENTS
1.1 Scope Of Study
1.2 Research Objective
1.3 Assumptions & Limitations
1.4 Market Structure
2 RESEARCH METHODOLOGY
2.1 Primary Research
2.2 Secondary Research
3 MARKET DYNAMICS
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
3.3.1 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
3.4.1 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
3.5.1 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
5 CLINICAL DATA ANALYTICS MARKET, BY DEPLOYMENT MODEL
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