The significant growth of big data analytics in healthcare market can be attributed to benefits such as use of Electronic Health Records (EHRs) for digital information of patients that include medical history, demographics, allergies, laboratory test results, etc. Big data analytics also assists in finding frauds in claim processing, thus helping insurance companies to prevent losses. Moreover, big data analytics also helps hospitals with staff management. Generating real-time alerts regarding the patients’ health conditions for doctors with big data analytics is also contributing significantly toward market growth.
Market Industry Reports (MIR) has published a new report titled “Big Data Analytics in Healthcare Market– Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2019–2030.” According to the report, the Global Big Data Analytics in Healthcare Market was estimated to be over US$16 billion in 2019. It is anticipated to grow at a substantial CAGR between 2019 and 2030.
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Some of the prominent players in the Big Data Analytics in Healthcare Market include:
Allscripts Healthcare, LLC, Cerner Corporation., Dell Inc., Epic System Corporation, GENERAL ELECTRIC COMPANY, Hewlett Packard Enterprise (Hpe), International Business Machines Corporation (IBM), Microsoft, Optum, inc and Oracle
Other factors including governments’ regulations to intensifying healthcare expenditure, an ever increasing number of hospitals and growing healthcare demand in developing countries is further fueling the growth of big data analytics in the healthcare market.
The factors impacting the market negatively include security and confidentiality concerns of the patient’s data. Patients are reluctant about disclosing their data that might affect their privacy, further hampering market growth.
The Big Data Analytics in Healthcare Market is segmented on the basis of Product, Modality, Cancer Type, End-Users and region.
by Component (Software, Services and Hardware), Deployment (On-Premise and Cloud), Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Diagnostic Analytics), Application (Clinical Analytics, Financial Analytics, and Operational Analytics), and End User (Hospitals & Clinics, and Finance & Insurance Agencies)
As a standard protocol at MIR, all research assignments go through the following rigorous processes.
- Secondary Research
- Primary Research
- Market Size Estimation & Forecasting
- Data Validation & Triangulation
- Report Generation
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Table of Contents
- Market Definition
- Market Classification
- Geographic Scope
- Years Considered for the Study: Historical Years – 2017 & 2018; Base Year – 2019; Forecasted Years – 2020 to 2030
- Currency Used
- RESEARCH METHODOLOGY
- Research Framework
- Data Collection Technique
- Data Sources
- Market Estimation Methodology
- Data Validation and Triangulation
- ABSTRACT OF THE STUDY
- MARKET DYNAMICS ASSESSMENT
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