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.
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.
Major Key Players of the Big Data Analytics in Healthcare Market are:
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, among others.
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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 Analytics Type, Application and region.
Major Analytics Type of Big Data Analytics in Healthcare Market covered are:
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Diagnostic Analytics
Major Applications of Big Data Analytics in Healthcare Market covered are:
- Clinical Analytics
- Financial Analytics
- Operational Analytics
Asia Pacific is estimated to account for the highest CAGR in big data analytics in healthcare market over the forecast period. Due to increasing adoption trends of big data analytics in healthcare in countries such as India, China, Japan, and others, the market is showing promising growth rates in these regions. In addition to this, growing medical tourism, rising awareness, and increasing disposable income are positively impacting market growth in these countries. As a result, the big data analytics in healthcare market is likely to expand in these regions during the forecast period.
Research objectives:-
– To study and analyze the global Big Data Analytics in Healthcare consumption (value & volume) by key regions/countries, product type and application, history data.
– To understand the structure of the Big Data Analytics in Healthcare market by identifying its various sub-segments.
– Focuses on the key global Big Data Analytics in Healthcare manufacturers, to define, describe and analyze the sales volume, value, market share, market competitive landscape, SWOT analysis, and development plans in the next few years.
– To analyze the Big Data Analytics in Healthcare with respect to individual growth trends, future prospects, and their contribution to the total market.
– To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
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Table of Contents
- INTRODUCTION
- Market Definition
- Market Classification
- Geographic Scope
- Years Considered for the Study: Historical Years – 2016 & 2017; Base Year – 2018; Forecast Years – 2019 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
- Big Data Analytics in Healthcare Market
- Drivers
- Barriers/Challenges
- Opportunities
- Big Data Analytics in Healthcare Market
- UNIQUE SELLING PROPOSITIONS (USPs)
- Technological Advancements
- Key Products Assessment
- GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY COMPONENT
- Software
- Services
- Hardware
- GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY DEPLOYMENT
- On-Premise
- Cloud
- GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY ANALYTICS TYPE
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Diagnostic Analytics
- GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY APPLICATION
- Clinical Analytics
- Financial Analytics
- Operational Analytics
- GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY END USER
- Hospitals & Clinics
- Finance & Insurance Agencies
- Others
- GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY REGION
- North America Big Data Analytics In Healthcare Market
- Europe Big Data Analytics In Healthcare Market
- Asia Pacific Big Data Analytics In Healthcare Market
- Rest of the World (ROW) Big Data Analytics In Healthcare Market
- COMPETITIVE LANDSCAPE
- Key Players & Their Competitive Positioning (2018)
- Key Strategies Assessment
- New Product Launches
- Merger & Acquisitions
- Expansions
- Agreements, Collaborations, & Partnerships
- Other Strategies
- COMPANY PROFILES (Business Overview, Products Offered, Financial Performance*, Recent Developments)
- Allscripts Healthcare, LLC
- Cerner Corporation.
- Dell Inc.
- Epic Systems Corporation.
- GENERAL ELECTRIC COMPANY
- Hewlett Packard Enterprise (Hpe)
- International Business Machines Corporation (IBM)
- Microsoft
- Oracle
- Optum, inc.
*Financial details might not be captured in case of privately-held companies or for companies that do not report this information in public domain
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In the end, Big Data Analytics in Healthcare industry report specifics the major regions, market scenarios with the product price, volume, supply, revenue, production, and market growth rate, demand, forecast and so on. This report also presents SWOT analysis, investment feasibility analysis, and investment return analysis.
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