Summary

Market Overview
Big data analytics is a sort of advanced analytics that entails a set of statistical algorithms and prediction models that are backed up by high-performance analytics equipment. These technologies provide various commercial benefits in the healthcare industry, including efficient marketing, new income prospects, enhanced operational efficiency, and improved patient care, thanks to high-powered computer systems. Healthcare analytics is a vast discipline that encompasses a wide range of topics, including clinical delivery, operational efficiency, and customized treatment. Currently, big data analytics is being used by a growing number of healthcare organizations, ranging from multi-provider groups and single-physician offices to huge hospital networks. This increase may be ascribed to the service's several benefits, which include rapidly and effectively detecting healthcare fraud and assessing clinical trials and patient information.

Healthcare Big Data Analytics Market: Key Players
All scripts

Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis

Cerner
Dell EMC
Epic System Corporation
General Electric Healthcare
Hewlett Packard Enterprise (HPE)
International Business Machines (IBM) Corporation
Microsoft
Optum
Oracle Corporation


Growth Factor
High demand for analytics solutions for population health management
Population health management necessitates the integration of clinical and claims data on the same platform for data analysis, resulting in full patient care with cost-effective pharmaceutical practices. The worldwide big data analytics in healthcare market is expected to rise in the future due to an increase in demand for better care management, early sickness prediction, and the hospitalization process. Furthermore, citizen health is a top priority for healthcare administration in the sector, which necessitates predictive population health analysis and is likely to boost the use of big data analytics over the projection period.

Segmentation
By Component
Software
Services
By Deployment
On-Premise
Cloud
By Analytics Type
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Diagnostic Analytics
By Applications
Clinical Analytics
Financial Analytics
Operational Analytics
By End-User
Hospitals & Clinics
Finance & Insurance Agencies
Research Organizations
Healthcare Big Data Analytics Market Dynamics
Healthcare Big Data Analytics Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints


Recent News Related to Market
In September 2020, The National Institutes of Health (NIH) supported a study to develop SARS-CoV-2-related digital technologies utilizing Big Data. Wearable gadgets, smartphone applications, and software might be developed as a result of the studies to track the transmission of the COVID-19 virus and assess the health state of affected people.

In August 2018, Verscend Technology (US) purchased Cotiviti Holdings, Inc. (US), a prominent supplier of payment accuracy and analytics-driven solutions primarily for the healthcare market.



The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:
COVID-19 pre and post business impact analysis
Detailed overview of the parent market
Changing market dynamics in the industry
In-depth market segmentation
What is the Healthcare Big Data Analytics Market growth?
Which segment accounted for the largest Healthcare Big Data Analytics Market share?
Who are the key players in the Healthcare Big Data Analytics Market?
Historical, current and projected market size in terms of volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
Potential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint


Note: Although care has been taken to maintain the highest levels of accuracy in Fatpos Global’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

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Table of Contents

Contents
1. Executive Summary
2. Global Healthcare Big Data Analytics Market
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. Research Methodology
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. Average Pricing Analysis
5. Macro-Economic Indicators
6. Market Dynamics
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. Correlation & Regression Analysis
7.1. Correlation Matrix
7.2. Regression Matrix
8. Recent Development, Policies & Regulatory Landscape
9. Risk Analysis
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. Global Healthcare Big Data Analytics Market Analysis
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. Global Healthcare Big Data Analytics Market
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. Global Healthcare Big Data Analytics Market: Market Segmentation
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Europe: (Germany, UK, France, Italy, Spain, Russia and Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Asia-Pacific: (China, India, Japan, South Korea, Australia and Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. LAMEA: (Latin America, Middle east and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By Component: Market Share (2020-2030F)
12.2.1. Software, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Services, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By Development: Market Share (2020-2030F)
12.3.1. On-Premise, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. Cloud, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4. By Analytics Type: Market Share (2020-2030F)
12.4.1. Descriptive Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4.2. Predictive Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4.3. Prescriptive Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.4.4. Diagnostic Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.5. By Application: Market Share (2020-2030F)
12.5.1. Clinical Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.5.2. Financial Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.5.3. Operational Analytics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.6. By End-User: Market Share (2020-2030F)
12.6.1. Hospitals and clinics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.6.2. Finance & Insurance Agencies, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.6.3. Research Organizations, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
13. Company Profile
13.1. All Scripts
13.1.1. Company Overview
13.1.2. Company Total Revenue (Financials)
13.1.3. Market Potential
13.1.4. Global Presence
13.1.5. Key Performance Indicators
13.1.6. SWOT Analysis
13.1.7. Product Launch
13.2. Cerner
13.3. Dell EMC
13.4. Epic System Corporation
13.5. General Electric Healthcare
13.6. Hewlett Packard Enterprise (HPE)
13.7. International Business Machines (IBM) Corporation
13.8. Microsoft
13.9. Optum
13.10. Oracle Corporation
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable