Predictive Analytics in Healthcare Market Will Generate Massive Revenue to Highest CAGR 21.2% to reach $8,464 million by 2025 | IBM, Information Builders, MedeAnalytics, Optum

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.

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 transformation of healthcare industry along with the increase in amount of healthcare data has increased their focus to data integration and analytics in turn increasing the demand for predictive analytics in healthcare. 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.

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Some of the key players of Predictive Analytics in Healthcare Market:

o Allscripts Healthcare Solutions Inc.
o Cerner Corporation
o IBM Corporation
o Information Builders Inc.
o MedeAnalytics, Inc.
o Optum Inc.
o Oracle Corporation
o SAS Institute, Inc.
o Microsoft Corporation
o Verisk Analytics

Market Analysis by
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Predictive Analytics in Healthcare market based on product and application. It also provides market size and forecast till 2025 for overall Predictive Analytics in Healthcare market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries and segments.

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

By Component
o Software
o Hardware
o Service

By End User
o Healthcare Payer
o Healthcare Provider
o Others

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Fundamentals of 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

Chapter: 2: EXECUTIVE SUMMARY
2.1. CXO perspective

Chapter: 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.3. Porters five forces analysis
3.4. Market dynamics

Chapter: 4: PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION
4.1. Overview
4.2. Operations Management
4.3. Financial Analytics
4.4. Population Health
4.5. Clinical

Chapter: 5: PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT
5.1. Overview
5.2. Hardware
5.3. Software
5.4. Services

To Continue...............

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