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Predictive Analytics In Healthcare Market by Top Key Players – Allscripts Healthcare Solutions Inc., Cerner Corporation, IBM Corporation, Information Builders Inc.

12-22-2018 08:27 AM CET | IT, New Media & Software

Press release from: Big Market Research

Predictive Analytics In Healthcare

Predictive Analytics In Healthcare

Predictive analytics finds a pattern in historical and transactional data and uses it to identify risks and opportunities for future. Based on the available descriptive data, predictive analytics uses different techniques, which include machine learning, statistical techniques, and predictive modelling to evaluate and determine the probable future. The global predictive analytics in healthcare market was valued at $1,806 million in 2017, and is estimated to reach $8,464 million at a CAGR of 21.2% from 2018 to 2025.

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This report gives an in-depth research about the overall state of Predictive Analytics In Healthcare market and projects an overview of its growth market. It also gives the crucial elements of the market and across major Europe regions in detail. Number on primary and secondary research has been carried out in order to collect required data for completing this particular report. Sever industry based analytical techniques has been narrowed down for a better understanding of this market.

Market Segment by Key Players, this report covers: Allscripts Healthcare Solutions Inc., Cerner Corporation, IBM Corporation, Information Builders Inc., MedeAnalytics, Inc., Optum Inc., Oracle Corporation, SAS Institute, Inc., Microsoft Corporation, and Verisk Analytics

Increase in efficiency in the healthcare sector, emergence of personalized and evidence-based medicine, and rise in demand to curtail healthcare expenditure by reducing unnecessary costs majorly drive the growth of the global predictive analytics in the healthcare market. However, lack of robust infrastructure for effective functionality and limited skilled IT professionals in healthcare are expected to restrain the market growth.

The global predictive analytics in healthcare market is segmented based on application, component, end user, and region. Based on application, it is divided into operations management, financial data analytics, population health management, and clinical. Based on component, the market is categorized into hardware, software, and service.

Key Benefits for Predictive Analytics in Healthcare Market:

• This report entails a detailed quantitative analysis of the current market trends from 2017 to 2025 to identify the prevailing opportunities.
• Market estimations are based on comprehensive analysis of the key developments in the industry.
• The global market is comprehensively analyzed with respect to application, components, end user, and region.
• In-depth analysis based on region assists to understand the regional market to assist in strategic business planning.
• The development strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market.

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Predictive Analytics in Healthcare Key Market Segments:

By Application
• Operations Management
• Financial Data Analytics
• Population Health Management
• Clinical

By Component
• Software
• Hardware
• Service

By End User
• Healthcare Payer
• Healthcare Provider
• Others

Table of Content
CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.3. Porters five forces analysis
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Increase in demand to curtail healthcare expenditure
3.4.1.2. Increasing efficiency in the healthcare sector
3.4.1.3. Emergence of precision and evidence-based medicine
3.4.2. Restraints
3.4.2.1. Lack of robust infrastructure for effective functionality
3.4.2.2. Limited acceptance from healthcare professionals
3.4.3. Opportunity
3.4.3.1. Growing importance of healthcare in emerging economies
CHAPTER 4: PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION
4.1. Overview
4.1.1. Market size and forecast
4.2. Operations Management
4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast
4.2.3. Market analysis, by country
4.2.4. Demand Forecasting
4.2.5. Workforce Planning
4.2.6. Inpatient Scheduling
4.2.7. Outpatient Scheduling
4.3. Financial Analytics
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast
4.3.3. Market analysis, by country
4.4. Population Health
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast
4.4.3. Market analysis, by country
4.5. Clinical
4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast
4.5.3. Market analysis, by country

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