Worldwide Healthcare Analytics Market- Global Drivers, Trends, and Forecast to 2020
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Healthcare analytics is used to analyse the data collected from the four key areas of healthcare viz. R&D, clinical, patient sentiment and behaviour, and cost. The aim of the healthcare organizations is to improve the clinical care without spending in excess. As such, these organizations are determined to gain critical insights into data generated from various sources and take decisions based on them. At present, the focus has expanded to other areas such as supply chain, financial, fraud and HR as well.
The rise in number of patient registries and increasing focus of healthcare organizations on value based medicine has prompted them to invest in healthcare analytics. The advancements in cloud solutions plays a major role in the growth of adoption rate. Few organizations also want to gain insights from social media to look for newer opportunities. Although, lack of highly skilled professionals, and relatively high cost of the solutions are hindering the growth of the healthcare analytics market.
Requirements to limit healthcare spending, rise in government initiatives to augment EHR adoption, need for better treatment outcomes, rise in volumes of data, and technological advancement in big data and cloud are the major drivers for the growth of healthcare analytics market. The market is segmented by applications, type, component, delivery, end users and regions. Some of the top healthcare analytics market vendors are SAS, IBM, Truven Health Analytics, Optum, McKesson and Cerner.
The study covers and analyses the “Healthcare Analytics” market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiative, and technologies related to the market. In addition, helps the venture capitalist in understanding the companies better and take informed decisions.
1.1 Industry Overview
1.2 Industry Trends
1.3 PESTEL Analysis
2 Report Outline
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 Market Snapshot
3.1 Total Addressable Market (TAM)
3.2 Segmented Addressable Market (SAM)
3.3 SAM as a Segment of TAM
3.4 Related Markets
4 Market Outlook
4.4 Porter 5 (Five) Forces
5 Market Characteristics
5.1 Market Trends
5.2 Value Chain
5.3 Market Dynamics
5.4 DRO – Impact Analysis
5.5 Key Stakeholders
6 Deployment Model : Market Size and Analysis
6.3 On demand/Cloud based
7 Type: Market Size and Analysis
7.2 Descriptive analytics
7.3 Predictive analytics
7.4 Precriptive analytics
8 Component: Market Size & Analysis
9 Application: Market Size and Analysis
9.2 Financial analytics
9.3 Operational & administrative analytics
9.4 Clinical analytics
9.5 Population health analytics
10 End user: Market Size and Analysis
10.4 HIES, MCOS, ACOS, TPAS
11 Regions: Market Size and Analysis
11.2 North America
11.4 Asia Pacific
12 Competitive Analysis
12.2 Truven Health Analytics
13 Vendor Profiles*
13.1 Truven Health Analytics
14 Companies to Watch for #
15 Expert’s Views
Infoholic Research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:
- Data Collation (Primary & Secondary)
- In-house Estimation (Based on proprietary data bases and Models)
- Market Triangulation
Market related information is congregated from both primary and secondary sources.
Involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.
Include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.