Clinical Data Analytics Analysis 2017 (By Segment, Key Players and Applications) and Forecasts To 2022

Clinical Data Analytics Market

Summary 

The global clinical data analytics market was valued at $ 2,356.2 million in 2016 and expected to reach at $ 11,853.6 million by 2022 at a CAGR of 30.9 % during the forecast period. The major factors responsible for the growth of global clinical data analytics market are; government Initiatives to promote big data will spur the growth of this market, technological advancements, concept of value based care and pressure to curb healthcare costs has fuelled the growth of the market and others. The growth barriers are reluctance to share information regarding the health with the third party, privacy concerns, regulatory requirements, and power backup issues with big data accessing smart devices will restraint the growth of the market among others.
The market is majorly categorized on the basis of deployment model which is further segmented into on-premise and cloud based. On the basis of application, the market is segmented into quality care, population health management, clinical decision support, precision health, reporting and compliance. On the basis of end user the market is segmented into pharmaceutical companies, healthcare providers, academic and research institutes and geographic regions. Globally, North America holds the largest market share of global clinical data analytics market, registering 53.95 % in 2016.  

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Target Audience 
Clinical data analytics companies 
•    Hospitals & Clinics
•    Raw Material Suppliers
•    Key executive (CEO and COO) and strategy growth manager

Key Findings 
• On the basis of deployment model, on-premise segment holds largest market share of global clinical data analytics market, registering 1579.9 % of total market in 2016.
• US holds 71.66 % market share of North America clinical data analytics market and is expected to reach $ 4466.7 million by 2022 from $ 911.1 million in 2016.

Table of Contents 

1 Introduction 10
1.1 Scope of Study 10
1.2 Research Objective 10
1.3 Assumptions & Limitations 11
1.3.1 Assumptions 11
1.3.2 Limitations 11
1.4 Market Structure 11
2 Research Methodology 12
2.1 Primary Research 13
2.2 Secondary Research 13
3 Market Dynamics 14
3.1 Introduction 14
3.2 Drivers 15
3.2.1 Government Initiatives to Promote Big Data will spur the growth of this market 15
3.2.2 Technological Advancements (Mhealth, IoT and Wearable Devices) will boost the growth of the market 15
3.2.3 Pressure to Curb Healthcare Costs has fuelled the growth of the market 16
3.3 Restraints 16
3.3.1 Reluctance to share information regarding the health with the third party has limit the growth of the market 16
3.3.2 Power Backup Issues with Big Data Accessing Smart Devices will restraint the growth of the market 17   

  .Continued

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