Big Data in Healthcare Market Trends, Key Market Characteristics and High-Performance Applications Forecast to 2027

Big Data in Healthcare Market Overview
Big data means a large set of database which could be structured and unstructured, which can be effectively assessed in order to disclose the trends & patterns for present and future. In healthcare the big data refers to use of the analytic services which is predictive, prescriptive and descriptive to evaluate the information of patient’s healthcare in order to make the clinical output more effective (clinical analytics), improving the revenue of business of healthcare companies, hospitals, clinic centers by financial analytics, and utilization of workforce of healthcare service providers for the higher productivity by operational analytics.

Big Data in Healthcare Market Applications
The applications of big data in healthcare are clinical data analytics, financial analytics and operational analytics. Clinical data analytics comprises the quality care, clinical decision support, population health management, precision health and reporting and compliance. The financial analytics application comprises various claims processing, revenue cycle management and risk management of various divisions of healthcare industry. The last application is operational analytics which comprise the workforce analysis and supply chain analysis.

Key Players
• Mckesson
• Cognizant
• Epic System Corporation
• Cerner Corporation
• Dell
• Ge Healthcare
• Optum
• Siemens
• Philips
• Xerox

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Big Data in Healthcare Market Influencer
There are three major factors which is driving the market of Big Data in Healthcare. Government initiatives, technological advancement and pressure to curb healthcare costs. Government initiatives like release of data from the agencies like FDA and CDC are helping in the research activities. These data’s are available publically and helping the researchers to deeply understand the cause of the disease and other causes. Technological advancement talks about the key developments like mHealth, IOT and wearable devices. A study shows that in the US more than 60% of people want wearable devices and more than 30% people want healthcare application to self-monitor their health conditions. Going ahead pressure to curb healthcare costs are also playing very important role in the overall development of big data.

Global Big Data in Healthcare Market Report: Market Segmentation
On the Basis of Hardware
o Routers
o Firewalls
o VPNs
o Data Storage
o Email servers and Access Points

On the Basis of Software
o EHR
o Revenue Cycle Management
o Practice Management
o Workforce Management

On the Basis of Analytical Service Types
o Descriptive
o Predictive
o Prescriptive

On the Basis of Analytical Service Applications
o Clinical analysis
o Financial analysis
o Operational analysis

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Global Big Data in Healthcare Market Report: Regional Analysis
North America
North America is the leading market of Global Big Data in Healthcare with the market share of more than XX%. Currently North America is having revenue of US $XX billion which is very high in comparison with other regions around the globe. The main reason behind this is the technological advancement in mHealth and IOT.

Europe
Currently Europe is having market share of more than XX% which makes the Europe, second largest market for Global Big Data in healthcare Market. In the Europe the market size has been evaluated at US $XX billion and during the forecast period it is expected that market will grow with the CAGR rate of XX%.

Asia-Pacific
Asia pacific is accounted for the fastest growing market with the CAGR of XX%. The main reason behind this is that Asia-Pacific together holds more than 41% of the global population and increase in the clinical trials and ageing populations.

TOC Consists Following Chapters
1. Introduction
1.1 Definition
1.2 Scope of The Study
1.2.1 Research Objective
1.2.2 Assumptions
1.2.3 Limitations
1.3 Market Structure
2. Research Methodology
2.1 Research Process
2.2 Primary Research
2.3 Secondary Research
2.4 Market Size Estimation
2.5 Forecast Model
3. Global Big Data in Healthcare Industry: Overview
3.1 Introduction
3.1.1 Definition
3.1.2 Market Segmentation
3.1.2.1 Market Segmentation On The Basis Of Hardware
3.1.2.2 Market Segmentation On The Basis Of Software
3.1.2.3 Market Segmentation On The Basis Of Analytic Service Types
3.1.2.3 Market Segmentation On The Basis Of Analytic Service Applications
4. Market Dynamics
4.1 Drivers
4.1.1 Government Initiatives
4.2 Restraints
4.2.1 Lack of Interoperability among Big Data Source Generators
4.3 Opportunities
4.3.1 Big Data to Strengthen Precision Medicine
4.4 Mega Trends
4.4.1 Technological Developments
4.5 Macroeconomic Indicators
4.6 Important Pointers by Industry Experts
4.6.1 Asia-Pacific as Fastest Growing Market
4.6.2 Growth Prospects
5. Global Big Data in Healthcare Industry Analysis
5.1 Regulations, Consortiums, Patents, and Standards
5.1.1 Regulations /Regulatory Bodies
5.1.2 Consortiums
5.1.3 Patents
5.1.4 Standards
5.2 Value Chain Analysis
5.3 Big Data Users in the Healthcare Industry
5.4 Big Data Analytics in Therapeutics
6. Global Big Data in Healthcare Industry: Porter's 5 Forces Analysis
6.1 Threat of New Entrants
6.2 Threat of Substitutes Products Or Services
6.3 Bargaining Power of Buyers/Customer
6.4 Bargaining Power of Suppliers
6.5 Degree of Competition
Continue…………..

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