The ‘ BIG DATA ANALYTICS IN HEALTHCARE market’ research report added by Report Ocean, is an in-depth analysis of the latest trends, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market introduction, BIG DATA ANALYTICS IN HEALTHCARE market definition, regional market scope, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, BIG DATA ANALYTICS IN HEALTHCARE market size forecast, 100+ market data, Tables, Pie Chart, Graphs and Figures, and many more for business intelligence.
The global big data analytics in healthcare market size was valued at $16.87 billion in 2017, and is projected to reach $67.82 billion by 2025, growing at a CAGR of 19.1% from 2018 to 2025.
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BIG DATA ANALYTICS IN HEALTHCARE Market: Competitive Analysis by Key Players:
All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.
The Global BIG DATA ANALYTICS IN HEALTHCARE Market also explains the competitive landscape among the major key players of the market, based on various parameters, such as:
- News Feed Analysis of the Global BIG DATA ANALYTICS IN HEALTHCARE Market players
- Key Players Ranking Analysis of the Global BIG DATA ANALYTICS IN HEALTHCARE Market
- Positioning Matrix of the Global BIG DATA ANALYTICS IN HEALTHCARE Market
BIG DATA ANALYTICS IN HEALTHCARE Market Segments:
By Component (Software and Services),
By Deployment (On-Premise and Cloud),
By Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Diagnostic Analytics),
By Application (Clinical Analytics, Financial Analytics, and Operational Analytics),
By End User (Hospitals & Clinics, Finance & Insurance Agencies, and Research Organizations)
BIG DATA ANALYTICS IN HEALTHCARE Market: Insights
Big data analytics in healthcare is an analytic solution that derives insights on patient information and improves treatment techniques by enabling evidence-based disease prevention modeling and diagnostic analysis. The key players, such as IBM Corporation, Optum, Microsoft, and others, provide innovative analytical solutions such as population health management, biometric analysis, clinical decision support, revenue cycle management, risk assessment, value-based analytics, and others to healthcare end users. In addition, big data analytics optimizes process-oriented expenditures in the healthcare industry by improving the population health, integrating performance modeling with financial and predictive care monitoring, and others. The global big data analytics in healthcare market size was valued at $16.87 billion in 2017, and is projected to reach $67.82 billion by 2025, growing at a CAGR of 19.1% from 2018 to 2025.
Rise in demand for analytics for population health management solution and increase in adoption of cloud analytics among several end users are some of the major factors that drive the global big data analytics in the healthcare market growth. In addition, rise in government initiatives for supporting the adoption of healthcare analytics is expected to fuel the growth of the market. However, security concerns over patient information among end users and slow adoption of healthcare analytic solutions in the underdeveloped regions are the major factors that impede the market growth. Conversely, technological advancements and rise in application areas among various industry verticals are expected to provide lucrative opportunities for the big data analytics in the healthcare market growth.
The global big data analytics in healthcare market is segmented based on component, deployment, analytics type, application, end user, and region. In terms of component, the market is bifurcated into software and services. On the basis of deployment, it is fragmented into on-premise and cloud. Depending on analytics type, it is segregated into descriptive analytics, predictive analytics, prescriptive analytics, and diagnostic analytics. By application, it is classified into clinical analytics, financial analytics, and operational analytics. By end user segment, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Region wise, big data analytics in healthcare market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
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Furthermore, the years considered for the study are as follows:
Historical year – 2013-2017
Base year – 2018
Forecast period** – 2019 to 2025 [** unless otherwise stated]
The market research study offers in-depth regional analysis along with the current market scenarios. The major regions analyzed in the study are:
- Middle East & Africa
- Asia Pacific
Key highlights and important features of the Report:
Overview and highlights of product and application segments of the global BIG DATA ANALYTICS IN HEALTHCARE Market are provided. Highlights of the segmentation study include price, revenue, sales, sales growth rate, and market share by product.
Explore about Sales data of key players of the global BIG DATA ANALYTICS IN HEALTHCARE Market as well as some useful information on their business. It talks about the gross margin, price, revenue, products, and their specifications, type, applications, competitors, manufacturing base, and the main business of key players operating in the BIG DATA ANALYTICS IN HEALTHCARE Market.
Explore about gross margin, sales, revenue, production, market share, CAGR, and market size by region.
Describe BIG DATA ANALYTICS IN HEALTHCARE Market Findings and Conclusion, Appendix, methodology and data source;
The market research was done by adopting various tools under the category of primary and secondary research. For primary research, experts and major sources of information have been interviewed from suppliers’ side and industries, to obtain and verify the data related to the study of the Global BIG DATA ANALYTICS IN HEALTHCARE Market. In secondary research methodology, various secondary sources were referred to collect and identify extensive piece of information, such as paid databases, directories and annual reports and databases for commercial study of the Global BIG DATA ANALYTICS IN HEALTHCARE Market. Moreover, other secondary sources include studying technical papers, news releases, government websites, product literatures, white papers, and other literatures to research the market in detail.
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There are 15 Chapters to display the Global BIG DATA ANALYTICS IN HEALTHCARE Market:
Chapter 1, to describe Definition, Specifications and Classification of Global BIG DATA ANALYTICS IN HEALTHCARE, Applications of , Market Segment by Regions;
Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);
Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, to analyze the Consumers Analysis of Global BIG DATA ANALYTICS IN HEALTHCARE by region, type and application;
Chapter 12, to describe BIG DATA ANALYTICS IN HEALTHCARE Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, to describe BIG DATA ANALYTICS IN HEALTHCARE sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
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