Healthcare Big Data Analytics Market Trends And Opportunities From 2017 to 2023

Market Research Future.com add new report of “Healthcare Big Data Analytics
Market Research Report - Global Forecast To 2023” it contains Company information, geographical data and Table of Content
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%.
• 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
• Siemens
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Study Objectives of Healthcare Big Data Analytics Market:
• To provide detailed analysis of the market structure along with forecast for the next six years of the various segments and sub-segments of the Healthcare Big Data Analytics market
• To provide insights about factors affecting the market growth
• To analyze the Healthcare Big Data Analytics 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 and Africa.
• To provide country level analysis of the market with respect to the current market size and future prospective
• To provide country level analysis of the market for segments by type, by end users and its sub-segments
• 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 in the global Healthcare Big Data Analytics market.
Intended Audience
• Data Analytics system providers
• Cloud platform providers
• Regulatory and compliance agencies
• Investors and venture capitalists
• Government
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.
• 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.

• 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. 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

Browse Full Report Details@ https://www.marketresearchfuture.com/reports/healthcare-big-data-analytics-market
Table Of Content
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
11 Company Profile

11.1 Cognizant

11.1.1 Overview

11.1.2 Product/Business Segment Overview

11.1.3 Financial Updates

11.1.4 Key Developments

11.2 Cerner Corporation

11.2.1 Overview

11.2.2 Product/Business Segment Overview

11.2.3 Financial Updates

11.2.4 Key Developments

11.3 International Business Machine (IBM) Corporation

11.3.1 Overview

11.3.2 Product/Business Segment Overview

11.3.3 Financial Updates

11.3.4 Key Developments

11.4 Dell

11.4.1 Overview

11.4.2 Product/Business Segment Overview

11.4.3 Financial Updates

11.4.4 Key Developments

11.5 Epic System Corporation

11.5.1 Overview

11.5.2 Product/Business Segment Overview

11.5.3 Financial Updates

11.5.4 Key Developments

11.6 Bloomberg L.P.

11.6.1 Overview

11.6.2 Product/Business Segment Overview

11.6.3 Financial Updates

11.6.4 Key Developments

11.7 GE Healthcare

11.7.1 Overview

11.7.2 Product/Business Segment Overview

11.7.3 Financial Updates

11.7.4 Key Developments

11.8 McKesson

11.8.1 Overview

11.8.2 Product/Business Segment Overview

11.8.3 Financial Updates

11.8.4 Key Developments

11.9 Optum

11.9.1 Overview

11.9.2 Product/Business Segment Overview

11.9.3 Financial Updates

11.9.4 Key Developments

11.10 Philips

11.10.1 Overview

11.10.2 Product/Business Segment Overview

11.10.3 Financial Updates

11.10.4 Key Developments

11.11 Siemens

11.11.1 Overview

11.11.2 Product/Business Segment Overview

11.11.3 Financial Updates

11.11.4 Key Developments
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