Big Data Analytics in Healthcare Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2028
Description
Big Data Analytics in Healthcare Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2028
The report on the global big data analytics in healthcare market provides qualitative and quantitative analysis for the period from 2020 to 2028. The report predicts the global big data analytics in healthcare market to grow with a CAGR of about 13% over the forecast period from 2022-2028. The study on big data analytics in healthcare market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2020 to 2028.
The report on big data analytics in healthcare market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global big data analytics in healthcare market over the period of 2020 to 2028. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global big data analytics in healthcare market over the period of 2020 to 2028. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.
Report Findings
1) Drivers
Growing adoption of big data analytics in healthcare
Increasing demand for improvement in care management, prediction of early illness factors, and hospitalization process
2) Restraints
The rising incidents of data loss or cyber-attacks on stored client data across industries
3) Opportunities
The rising inclination toward cloud-based analytics solutions
Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from the industry
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segment Covered
The global big data analytics in healthcare market is segmented on the basis of analytics type, component, application, and end user.
The Global Big Data Analytics in Healthcare Market by Analytics Type
Prescriptive Analytics
Predictive Analytics
Diagnostic Analytics
The Global Big Data Analytics in Healthcare Market by Component
Software
Services
The Global Big Data Analytics in Healthcare Market by Application
Clinical Analytics
Financial Analytics
Operational Analytics
The Global Big Data Analytics in Healthcare Market by End User
Hospitals & Clinics
Finance & Insurance Agencies
Research Organizations
Company Profiles
The companies covered in the report include
Oracle Corporation
Optum Inc
International Business Machines Corporation
McKesson Corporation
Salesforce, Inc.
Cotiviti Holdings, Inc
Dell Emc
Epic Systems Corporation
Microsoft Corporation
Cisco Systems, Inc
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the big data analytics in healthcare market.
2. Complete coverage of all the segments in the big data analytics in healthcare market to analyze the trends, developments in the global market and forecast of market size up to 2028.
3. Comprehensive analysis of the companies operating in the global big data analytics in healthcare market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
The report on the global big data analytics in healthcare market provides qualitative and quantitative analysis for the period from 2020 to 2028. The report predicts the global big data analytics in healthcare market to grow with a CAGR of about 13% over the forecast period from 2022-2028. The study on big data analytics in healthcare market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2020 to 2028.
The report on big data analytics in healthcare market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global big data analytics in healthcare market over the period of 2020 to 2028. Moreover, the report is a collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global big data analytics in healthcare market over the period of 2020 to 2028. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.
Report Findings
1) Drivers
Growing adoption of big data analytics in healthcare
Increasing demand for improvement in care management, prediction of early illness factors, and hospitalization process
2) Restraints
The rising incidents of data loss or cyber-attacks on stored client data across industries
3) Opportunities
The rising inclination toward cloud-based analytics solutions
Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from the industry
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segment Covered
The global big data analytics in healthcare market is segmented on the basis of analytics type, component, application, and end user.
The Global Big Data Analytics in Healthcare Market by Analytics Type
Prescriptive Analytics
Predictive Analytics
Diagnostic Analytics
The Global Big Data Analytics in Healthcare Market by Component
Software
Services
The Global Big Data Analytics in Healthcare Market by Application
Clinical Analytics
Financial Analytics
Operational Analytics
The Global Big Data Analytics in Healthcare Market by End User
Hospitals & Clinics
Finance & Insurance Agencies
Research Organizations
Company Profiles
The companies covered in the report include
Oracle Corporation
Optum Inc
International Business Machines Corporation
McKesson Corporation
Salesforce, Inc.
Cotiviti Holdings, Inc
Dell Emc
Epic Systems Corporation
Microsoft Corporation
Cisco Systems, Inc
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the big data analytics in healthcare market.
2. Complete coverage of all the segments in the big data analytics in healthcare market to analyze the trends, developments in the global market and forecast of market size up to 2028.
3. Comprehensive analysis of the companies operating in the global big data analytics in healthcare market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
Table of Contents
100 Pages
- 1. Preface
- 1.1. Report Description
- 1.2. Research Methods
- 1.3. Research Approaches
- 2. Executive Summary
- 2.1. Big Data Analytics in Healthcare Market Highlights
- 2.2. Big Data Analytics in Healthcare Market Projection
- 2.3. Big Data Analytics in Healthcare Market Regional Highlights
- 3. Global Big Data Analytics in Healthcare Market Overview
- 3.1. Introduction
- 3.2. Market Dynamics
- 3.2.1. Drivers
- 3.2.2. Restraints
- 3.2.3. Opportunities
- 3.3. Analysis of COVID-19 impact on the Big Data Analytics in Healthcare Market
- 3.4. Porter's Five Forces Analysis
- 3.5. IGR-Growth Matrix Analysis
- 3.5.1. IGR-Growth Matrix Analysis by Analytics Type
- 3.5.2. IGR-Growth Matrix Analysis by Component
- 3.5.3. IGR-Growth Matrix Analysis by Application
- 3.5.4. IGR-Growth Matrix Analysis by End User
- 3.5.5. IGR-Growth Matrix Analysis by Region
- 3.6. Value Chain Analysis of Big Data Analytics in Healthcare Market
- 4. Big Data Analytics in Healthcare Market Macro Indicator Analysis
- 5. Global Big Data Analytics in Healthcare Market by Analytics Type
- 5.1. Prescriptive Analytics
- 5.2. Predictive Analytics
- 5.3. Diagnostic Analytics
- 6. Global Big Data Analytics in Healthcare Market by Component
- 6.1. Software
- 6.2. Services
- 7. Global Big Data Analytics in Healthcare Market by Application
- 7.1. Clinical Analytics
- 7.2. Financial Analytics
- 7.3. Operational Analytics
- 8. Global Big Data Analytics in Healthcare Market by End User
- 8.1. Hospitals & Clinics
- 8.2. Finance & Insurance Agencies
- 8.3. Research Organizations
- 9. Global Big Data Analytics in Healthcare Market by Region 2022-2028
- 9.1. North America
- 9.1.1. North America Big Data Analytics in Healthcare Market by Analytics Type
- 9.1.2. North America Big Data Analytics in Healthcare Market by Component
- 9.1.3. North America Big Data Analytics in Healthcare Market by Application
- 9.1.4. North America Big Data Analytics in Healthcare Market by End User
- 9.1.5. North America Big Data Analytics in Healthcare Market by Country
- 9.2. Europe
- 9.2.1. Europe Big Data Analytics in Healthcare Market by Analytics Type
- 9.2.2. Europe Big Data Analytics in Healthcare Market by Component
- 9.2.3. Europe Big Data Analytics in Healthcare Market by Application
- 9.2.4. Europe Big Data Analytics in Healthcare Market by End User
- 9.2.5. Europe Big Data Analytics in Healthcare Market by Country
- 9.3. Asia-Pacific
- 9.3.1. Asia-Pacific Big Data Analytics in Healthcare Market by Analytics Type
- 9.3.2. Asia-Pacific Big Data Analytics in Healthcare Market by Component
- 9.3.3. Asia-Pacific Big Data Analytics in Healthcare Market by Application
- 9.3.4. Asia-Pacific Big Data Analytics in Healthcare Market by End User
- 9.3.5. Asia-Pacific Big Data Analytics in Healthcare Market by Country
- 9.4. RoW
- 9.4.1. RoW Big Data Analytics in Healthcare Market by Analytics Type
- 9.4.2. RoW Big Data Analytics in Healthcare Market by Component
- 9.4.3. RoW Big Data Analytics in Healthcare Market by Application
- 9.4.4. RoW Big Data Analytics in Healthcare Market by End User
- 9.4.5. RoW Big Data Analytics in Healthcare Market by Sub-region
- 10. Company Profiles and Competitive Landscape
- 10.1. Competitive Landscape in the Global Big Data Analytics in Healthcare Market
- 10.2. Companies Profiles
- 10.2.1. Oracle Corporation
- 10.2.2. Optum Inc
- 10.2.3. International Business Machines Corporation
- 10.2.4. McKesson Corporation
- 10.2.5. Salesforce, Inc.
- 10.2.6. Cotiviti Holdings, Inc
- 10.2.7. Dell EMC
- 10.2.8. Epic Systems Corporation
- 10.2.9. Microsoft Corporation
- 10.2.10. Cisco Systems, Inc
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