The global healthcare analytics market research is segmented based on products, applications, components, delivery modes, end users, and geography. On the basis of product type, the market is divided into descriptive, predictive, and prescriptive analytics. The healthcare analytics market, by component, is divided into hardware, software, and services. Based on the mode of delivery, the market is classified into on-premise models, web-hosted models, and cloud-based models. Based on end users, the market is segmented into healthcare and others. The healthcare segment is further divided into payers, providers, Health Information Exchanges (HIEs), and others. Based on geography, the market is classified into the U.S., Europe, Asia, and the Rest of the world (RoW).
The market shows a double-digit growth rate due to supportive elements such as digitization of world commerce, the emergence of Big Data, and also due to the increase in the number of advanced technologies. Factors such as federal healthcare mandates, growing healthcare IT adoption across the globe, growing fields of predictive and prescriptive analytics, and venture capital investments are driving the market. However, factors such as data security issues, patient data confidentiality, cultural barriers to IT adoption, and lack of manpower with cross-functional analytical skills may hinder the growth of this market.
The U.S. healthcare analytics market is a well-established yet lucrative market. The European market is the second-largest market, growing at a lower rate mainly due to the economic crisis and lack of government initiatives for analytics. The Asian market is relatively new to medical analytics; however, the increasing HCIT adoption, IT skills, and outsourcing trend will drive this market.
The market is a highly fragmented market with some major players such as IBM Corporation (U.S.), Oracle Corporation (U.S.), Truven Health Analytics, Inc. (U.S.), Verisk Health, Inc. (U.S.), Optum, Inc. (U.S.), MedeAnalytics, Inc. (U.S.), McKesson Corporation (U.S.), SAS Institute, Inc. (U.S.), LexisNexis Risk Solutions (U.S.), Inovalon, Inc. (U.S.), Predixion Software (U.S.), iHealth Analytics, Inc. (U.S.), Predilytics (U.S.), and Cerner Corporation (U.S.), among others.
Scope of the Report
This research report covers the global market by type, application, delivery mode, component, end user, and geography.
Global Healthcare Analytics Market, by Type
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Global Healthcare Analytics market, by Application
Clinical Analytics
Quality Care
Medical Error Reduction
Physician Performance Evaluation
Customer Relationship Management (CRM)
Financial Analytics
Claims Analytics
Revenue Cycle Management (RCM)
Risk Management Analytics
Operational and Administrative Analytics
Supply Chain Analytics
Human Resource/Workforce Analytics
Strategic Analytics
Research Analytics
Global Healthcare Analytics Market, by Component
Hardware
Software
Services
Global Healthcare Analytics Market, by Delivery Mode
On-premise Models
Web-hosted Models
Cloud-based Models
Global Healthcare Analytics Market, by End User
Healthcare
Payers
Providers
Healthcare Information Exchanges (HIEs)
Others (ACOs, IDNs, Employers)
Others (Life Sciences and Contract Research Organizations)
Global Healthcare Analytics Market, by Geography
U.S.
Europe
Asia
Rest of the World (RoW)
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Table of Contents
1 Introduction (Page No. - 21)
1.1 Objectives of The Study
1.2 Report Description
1.3 Markets Covered
1.4 Stakeholders
1.5 Research Methodology
1.5.1 Market Size Estimation
1.5.2 Market Crackdown & Data Triangulation
1.5.3 Key Data Points from Secondary Sources
1.5.4 Key Data Points from Primary Sources
1.5.5 Assumptions
2 Executive Summary (Page No. - 32)
3 Market Overview (Page No. - 35)
3.1 Introduction
3.2 Market Definition
3.3 Market Segmentation
3.4 Market Dynamics
3.4.1 Drivers
3.4.1.1 Federal Healthcare Mandates To Drive The Market
3.4.1.2 Improved Clinical Outcomes Accelerating Market Growth
3.4.1.3 Better Efficiency & Management For Healthcare Organizations Boosting The Market Growth
3.4.1.4 Big Data in Healthcare To Fuel The Healthcare Analytics Market
3.4.2 Restraints
3.4.2.1 The Medical Community’s Reluctance To Adopt An It-Based Approach Mars The Market Growth
3.4.2.2 Lack of Data Management Capabilities and Skilled Analysts Restraining The Market
3.4.2.3 Operational Gap Between Payers & Providers To Deter The Market Growth
3.4.3 Opportunities
3.4.3.1 Increasing Adoption of Ehrs
3.4.3.2 Increasing Focus on Value-Based Medicine Due To Peer Pressure
3.4.3.3 Personalized Medicine Based on Analytics
3.5 Challenges
3.5.1 Financial Constraints
3.5.2 Ensuring Patient Confidentiality
3.5.3 Traditional Techniques
3.5.4 Diversity of Systems
3.6 Benefits
3.6.1 Ease of Handling Big Data
3.6.2 Emergency Care & Preventative Care
3.6.3 Saves Time & Cost
3.6.4 Data Clarity & Transparency
3.6.5 Fraud Detection
3.7 Venture Capital Investments
3.8 Product Life Cycle Analysis
4 Global Healthcare Analytics Market, By Type (Page No. - 51)
4.1 Introduction
4.2 Descriptive & Diagnostic Analytics
4.3 Predictive Analytics
4.4 Prescriptive Analytics
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