Current Market trends are quantitatively analyzed and
estimated for the “Healthcare Descriptive Analytics Industry” during 2017 to
2022, which have been provided to highlight the financial competency. Key
market players have been profiled to gain an understanding of the strategies
adopted by them.
The global healthcare descriptive analytics market is
estimated to be USD XX billion in 2016 and is projected to reach USD XX billion
by 2021, growing at a CAGR of XX% during the forecast period from 2016 to 2021.
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Descriptive analytics can be defined as the ability to
collect and analyze historical data and past events, including summaries of
hospitalizations, number of disease cases, the length of stay in hospitals and
list of used medicines and drugs to gain meaningful insights. Descriptive
analytics provides a clear understanding of what has happened in the past and
its visualization through key performance metrics or other data in the report
or dashboard describing the current situation and past performance.
Global Healthcare Descriptive Analytics Market-Market Dynamics
Global Healthcare Descriptive Analytics Market-Market Dynamics
The healthcare analytics technology, which extensively uses
data for quantitative and qualitative analysis, is undergoing an industry
transformation from volume-based medicines and reimbursement to value-based
medicines and reimbursement.
Drivers
Drivers
Some of the key driving factors for this market are:
Government interest in creating an integrated database of every patient by implementing policies like e-health record, e-medical record etc.
Emergence of personalized medicine where every patient or group of patient is treated differently based on their background or history
Need to increase efficiency of current medical practices to make healthcare accessible to all
Integration of big data in healthcare
Technological advancements
Expansion of healthcare IT
Restraints
Government interest in creating an integrated database of every patient by implementing policies like e-health record, e-medical record etc.
Emergence of personalized medicine where every patient or group of patient is treated differently based on their background or history
Need to increase efficiency of current medical practices to make healthcare accessible to all
Integration of big data in healthcare
Technological advancements
Expansion of healthcare IT
Restraints
The technology also has certain constraints to overcome,
such as:
High cost of initial investments
Lack of properly trained IT professionals in healthcare
Healthcare providers‰Ûª reluctance to share data with the third party (analytics firm).
Data integrity and safety concerns
Opportunities
High cost of initial investments
Lack of properly trained IT professionals in healthcare
Healthcare providers‰Ûª reluctance to share data with the third party (analytics firm).
Data integrity and safety concerns
Opportunities
The technology has several opportunities as well. These
include:
Introduction and implementation of Electronic Health Records (EHR)
Rising investments in venture capital funds
Implementation of trends in the medical-IT field, such as precision medicines, EHR, analytics-driven personalized medicines, clinical DSS, health and disease management, and so on.
Introduction and implementation of Electronic Health Records (EHR)
Rising investments in venture capital funds
Implementation of trends in the medical-IT field, such as precision medicines, EHR, analytics-driven personalized medicines, clinical DSS, health and disease management, and so on.
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The global healthcare descriptive analytics market is
segmented on the basis of application (clinical data analytics, financial data
analytics, administrative data analytics, and research data analytics),
component (software, hardware, and services), deployment (on-premise model and
cloud-based model), end-user (private organization (hospitals, clinics,
physicians), government organization, NGOs and research institutions), and
geography (North America, Europe, Asia-Pacific, Middle East & Africa and
Latin America).
Currently, the descriptive analytics segment accounts for
the largest market share of 62% in the global healthcare technology but its
share may decrease if growing economies don‰Ûªt compensate for the loss in
developed countries where the technology is shifting towards more advanced
technology like predictive and prescriptive analytics. By application, the
clinical analytics segment is forecasted to have the highest growth rate. Although
the market growth of the cloud-based services segment is increasing
substantially, the on-premise delivery system segment still accounts for the
largest share due to its multi-vendor framework. This kind of architecture
usually ensures the safety of data and transactions from attacks.
The primary stakeholders of this technology are healthcare
IT firms, healthcare analytics vendors, care organizations, health insurance
providers, healthcare payers, healthcare providers, research firms,
consultants, ambulatory services, and venture capitalists.
Some of the key players in the market are:
Cerner
IBM
McKesson Corporation
Medeanalytics, Inc.
Optum, Inc.
Oracle
Cerner
IBM
McKesson Corporation
Medeanalytics, Inc.
Optum, Inc.
Oracle
Key Deliverables in the Study
Market analysis for the healthcare descriptive analytics market, with region-specific assessments and competition analysis on the global and regional scale.
Market definition along with the identification of key drivers and restraints.
Identification of factors instrumental in changing the market scenario, rising prospective opportunities, and identification of key companies that can influence this market on a global and regional scale.
Extensively researched competitive landscape section with profiles of major companies along with their market share.
Identification and analysis of the macro and micro factors that affect the healthcare descriptive analytics market on both global and regional scale.
A comprehensive list of key market players along with the analysis of their current strategic interests and key financial information.
A wide-ranging knowledge and insights about the major players in this industry and the key strategies adopted by them to sustain and grow in the studied market.
Insights on the major countries/regions in which this industry is blooming and to also identify the regions that are still untapped.
Market analysis for the healthcare descriptive analytics market, with region-specific assessments and competition analysis on the global and regional scale.
Market definition along with the identification of key drivers and restraints.
Identification of factors instrumental in changing the market scenario, rising prospective opportunities, and identification of key companies that can influence this market on a global and regional scale.
Extensively researched competitive landscape section with profiles of major companies along with their market share.
Identification and analysis of the macro and micro factors that affect the healthcare descriptive analytics market on both global and regional scale.
A comprehensive list of key market players along with the analysis of their current strategic interests and key financial information.
A wide-ranging knowledge and insights about the major players in this industry and the key strategies adopted by them to sustain and grow in the studied market.
Insights on the major countries/regions in which this industry is blooming and to also identify the regions that are still untapped.
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Complete Report @ http://www.orbisresearch.com/reports/index/global-healthcare-descriptive-analytics-market-growth-trends-and-forecast-2017-2022
.
Some points from TOC:
1. Introduction
1.1. Study deliverables
1.2. Market Definition
1.3. Sizing Units
1.4. Base Currency
1.5. Review and forecast period years
1.6. General Study Assumptions
1.7 Report Description
1.1. Study deliverables
1.2. Market Definition
1.3. Sizing Units
1.4. Base Currency
1.5. Review and forecast period years
1.6. General Study Assumptions
1.7 Report Description
2. Research Methodology
2.1. Introduction
2.2. Analysis Methodology
2.3. Econometric forecast models
2.4. Research Assumptions
2.1. Introduction
2.2. Analysis Methodology
2.3. Econometric forecast models
2.4. Research Assumptions
3. Executive Summary
4. Key Inferences
5. Market Overview & Industry Trends
5.1. Current market scenario
5.2. Technology Overview
5.3. New developments
5.4. Investment analysis
5.5. PorterFive Force Analysis
5.5.1 Bargaining Power of suppliers
5.5.2 Bargaining power of buyers
5.5.3 Degree of competition
5.5.4 Threat of substitution
5.5.5 Threat of new entrants
5.1. Current market scenario
5.2. Technology Overview
5.3. New developments
5.4. Investment analysis
5.5. PorterFive Force Analysis
5.5.1 Bargaining Power of suppliers
5.5.2 Bargaining power of buyers
5.5.3 Degree of competition
5.5.4 Threat of substitution
5.5.5 Threat of new entrants
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