Predictive Analytics in Healthcare Market Prospects Outlook 2018-2025 and Top Key Players - Allscripts Healthcare Solutions , Cerner Corporation , IBM Corporation , Information Builders

Predictive analytics is used to analyze current data to predict future using data mining, statistics, modelling, artificial intelligence, and machine learning. It helps enhance various aspects in the healthcare segment. These include patient care, chronic disease management, supply chain efficiencies, and hospital administration. The global predictive analytics in healthcare market was valued at $1,806 million in 2017, and is estimated to reach $8,464 million by 2025 at a CAGR of 21.2% from 2018 to 2025.

The major factors that drive the growth of the market include 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. However, lack of robust infrastructure for effective functionality and limited skilled IT professionals in healthcare are expected to hamper the market growth. Moreover, rise in importance of healthcare in emerging economies is expected to help open new avenues for the market growth during the forecast period.

Top Companies Covered in this Report:
Allscripts Healthcare Solutions , Cerner Corporation , IBM Corporation , Information Builders , MedeAnalytics, Optum , Oracle Corporation , SAS Institute, Microsoft Corporation, Verisk Analytics

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Based on application, the market is segmented into operations management, financial data analytics, population health management, and clinical. The population health management segment is expected to witness lucrative growth during the forecast period, owing to the rise in importance of using predictive analytics to evaluate disease treatment pattern and reduce readmission rates.

Major Types of Predictive Analytics in Healthcare covered are:
Software
Hardware
Service

Major Applications of Predictive Analytics in Healthcare covered are:
Operations Management
Financial Data Analytics
Population Health Management
Clinical

Based on end user, the market is classified into healthcare payers, healthcare providers, and others. Healthcare payers is the largest contributor toward the market growth as this segment mainly includes insurance companies, health plan sponsors where predictive analytics is used to evaluate insurance claims, prevent & detect fraudulent claims, and assess disease risk.

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Fundamentals of Table of Content:

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Predictive Analytics in Healthcare Market Size
2.2 Predictive Analytics in Healthcare Growth Trends by Regions
2.3 Industry Trends

3 Market Share by Key Players
3.1 Predictive Analytics in Healthcare Market Size by Manufacturers
3.2 Predictive Analytics in Healthcare Key Players Head office and Area Served
3.3 Key Players Predictive Analytics in Healthcare Product/Solution/Service
3.4 Date of Enter into Predictive Analytics in Healthcare Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product
4.1 Global Predictive Analytics in Healthcare Sales by Product
4.2 Global Predictive Analytics in Healthcare Revenue by Product
4.3 Predictive Analytics in Healthcare Price by Product

5 Breakdown Data by End User
5.1 Overview
5.2 Global Predictive Analytics in Healthcare Breakdown Data by End User

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In the last section of the report, the global Predictive Analytics in Healthcare market additionally provides a detailed survey of the key competitors and the leading players in the market, based on the various objectives of an organization such as overview, profiling, product portfolio, the quantity of production, upstream raw material, downstream demand analysis, and the financial status of the organization. These key players have adopted the regional expansion, mergers & acquisitions, product portfolio expansion, partnerships, and collaborations as their key strategies to enhance their infiltration in the Global Predictive Analytics in Healthcare Market.

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