Healthcare Big Data Analytics Market 2018 Top Key Players are IBM, Cerner Corporation, Cognizant, Dell, Epic System Corporation, GE Healthcare, McKesson, Optum, Philips and Siemens

The report for Healthcare Big 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.

Market Scenario:

Healthcare is a highly litigious and regulated industry. Over time, healthcare data has been created and accumulated continuously through patient records, radiology images, clinical trials and genomic sequences. With new technological advancements like m Health and Internet of Things (IOT), patients are now able to track their health data and share it with their respective physicians for any further remedies. The more data collected and analysed, the better medical insights gained.

With healthcare industry generating zeta bytes of data, big data analytic solutions aims to improve quality care of patients and the overall healthcare ecosystem. The market growth is gaining momentum with government initiatives for big data integration in the healthcare sector during recent years.

The data analytics is an enormous amount of structured as well as unstructured data which help organizations to improve their decision making processes. It refer to the technology services any organization is utilizing to handle the data sets. Unstructured data refers to the data which does not have a standardized form. Around 80% of the data in the business organizations is unstructured and around 60% of the patient care information is in the unstructured format.

The Global Healthcare Big Data Analytics Market of is expected to reach US$ 9.5 billion in 2023 from US$ 5.5 billion in 2016 with a CAGR of approximately 11.5%.

Segments:

Global Healthcare Big Data Analytics Market is segmented by components which include Hardware and Software, by deployment type including Software On-premise and software on demand, by application including Financial analytics, Clinical Analytics and Operational Analytics and Software type including Electronic Health Record Software, Practice Management Software, Revenue Cycle Management Software, Workforce Management Software, and others by end user which includes Hospitals, Clinics, Diagnostic Centers and others and by regions consisting of North America, Europe, Asia-Pacific and Middle East and Africa.

Key Players for Healthcare Big Data Analytics Market:

Some of the key players in this market are: IBM, Cerner Corporation, Cognizant, Dell, Epic System Corporation, GE Healthcare, McKesson, Optum, Philips and Siemens

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Regional Analysis of Healthcare Big Data Analytics Market:

Globally, Healthcare Big Data Analytics Market consists of four regions North America, Europe, Asia-Pacific and Middle East and Africa. North America is the largest market for Healthcare Big Data Analytics. Major factors for the growth in big data analytics in healthcare industry are emanation of big data in healthcare, establishment of healthcare policies by federal government, increased focus on big data management and analysis for better healthcare facilities and swift technological advancement like m health and precision medicines.

North America is the largest market for Healthcare Big Data Analytics which is expected to grow at a CAGR of 6.1% and is expected to reach at US$ 4.25 billion. Healthcare data analytics is gaining importance as it is important to analyze healthcare data and maintain in the system for a long time. Retaining patient data is a major task for healthcare providers. Europe is the second largest market. In Asia-Pacific, increasing patient pool emphasizes the use of healthcare data analytics as large amount of healthcare data is generated. Middle East and Africa show steady growth in this market.

Table of Contents

1 Report Prologue

2 Market Introduction

2.1 Introduction

2.2 Scope of Study

2.3 Research Objective

2.4 Assumptions & Limitations

2.4.1 Assumptions

2.4.2 Limitations

3 Research Methodology

3.1 Research Process

3.2 Primary Research

3.3 Secondary Research

4 Market Dynamics

4.1 Drivers

4.1.1 Improving Medical and Healthcare Regulation for IT Healthcare

4.1.2 Growing Trends in Information Technology

4.1.3 Increasing Numbers of Software Techniques

4.1.4 Increasing Inclination towards Healthcare IT Facilities

4.2 Restrains

4.2.1 Problems Associated With Features of The Software

5 Market Factor Analysis

5.1 Porter’s Five Forces Model

5.1.1 Bargaining Power of Suppliers

5.1.2 Bargaining Power of Buyers

5.1.3 Threat of New Entrants

5.1.4 Threat of Substitutes

5.1.5 Intensity of Rivalry

5.2 Supply Chain Analysis

… Continued!

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