Big Data in Healthcare Market, Trends and Forecasts (Global and Regional), Till 2035: Distribution by Component (Hardware, Services and Software), Type of Hardware (Storage Devices, Networking Infrastructure and Servers), Type of Software (Electronic Health Record, Practice Management Software, Revenue Cycle Management Software, and Workforce Management Software), and Type of Service (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics), Deployment Option (Cloud-based and On-premises), Application Area (Clinical Data Management, Financial Management, Operational Management, and Population Health Management), Healthcare Vertical (Healthcare Services, Medical Devices, Pharmaceuticals, and Other Verticals), End User (Clinics, Health Insurance Agencies, Hospitals, and Other End Users), Economic Status (High Income Countries, Upper-Middle Income Countries, and Lower-Middle Income Countries), Geography (North America, Europe, Asia, Middle East and North Africa, Latin America and Rest of the World), and Leading Players: Industry Trends and Global Forecasts
Big Data in Healthcare Market, Trends and Forecasts (Global and Regional), Till 2035: Distribution by Component (Hardware, Services and Software), Type of Hardware (Storage Devices, Networking Infrastructure and Servers), Type of Software (Electronic Health Record, Practice Management Software, Revenue Cycle Management Software, and Workforce Management Software), and Type of Service (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics), Deployment Option (Cloud-based and On-premises), Application Area (Clinical Data Management, Financial Management, Operational Management, and Population Health Management), Healthcare Vertical (Healthcare Services, Medical Devices, Pharmaceuticals, and Other Verticals), End User (Clinics, Health Insurance Agencies, Hospitals, and Other End Users), Economic Status (High Income Countries, Upper-Middle Income Countries, and Lower-Middle Income Countries), Geography (North America, Europe, Asia, Middle East and North Africa, Latin America and Rest of the World), and Leading Players: Industry Trends and Global Forecasts
Report Link: https://www.rootsanalysis.com/reports/big-data-in-healthcare-market.html
The big data in healthcare market is expected to reach USD 67 billion by 2023 anticipated to grow at a CAGR of 19% during the forecast period 2023-2035.
Big data in healthcare sector utilizes a vast amount of unstructured data from various sources, including medical research publications, biometric data, electronic health records, the Internet of Medical Things (IoMT), social media, payer records, omics research, and data repositories. Integrating this diverse and complex data into traditional databases presents challenges in terms of organization and standardization, which are crucial for interoperability and effective analysis. However, recent advancements in big data analytics tools, artificial intelligence (AI), and machine learning (ML) have revolutionized the conversion of healthcare big data into valuable insights. These technological advancements have transformed various aspects of healthcare, enabling data-driven decision-making, improving diagnostics, enabling personalized treatment options, and empowering patients through self-service options such as online portals, mobile applications, and wearable devices. Moreover, big data analytics tools play a crucial role in accelerating drug discovery and development processes in pharmaceutical research and development (R&D). Fueled by the increasing demand for business intelligence solutions, the rise in unstructured data, and the focus on personalized medicine, the global market for big data in healthcare is poised for sustained growth in the foreseeable future.
Report Coverage
Report Link: https://www.rootsanalysis.com/reports/big-data-in-healthcare-market.html
The big data in healthcare market is expected to reach USD 67 billion by 2023 anticipated to grow at a CAGR of 19% during the forecast period 2023-2035.
Big data in healthcare sector utilizes a vast amount of unstructured data from various sources, including medical research publications, biometric data, electronic health records, the Internet of Medical Things (IoMT), social media, payer records, omics research, and data repositories. Integrating this diverse and complex data into traditional databases presents challenges in terms of organization and standardization, which are crucial for interoperability and effective analysis. However, recent advancements in big data analytics tools, artificial intelligence (AI), and machine learning (ML) have revolutionized the conversion of healthcare big data into valuable insights. These technological advancements have transformed various aspects of healthcare, enabling data-driven decision-making, improving diagnostics, enabling personalized treatment options, and empowering patients through self-service options such as online portals, mobile applications, and wearable devices. Moreover, big data analytics tools play a crucial role in accelerating drug discovery and development processes in pharmaceutical research and development (R&D). Fueled by the increasing demand for business intelligence solutions, the rise in unstructured data, and the focus on personalized medicine, the global market for big data in healthcare is poised for sustained growth in the foreseeable future.
Report Coverage
- The report comprehensively examines big data in health care market based on components, types of hardware, types of software, types of services, deployment options, application areas, healthcare verticals, end users, types of economy, key geographical regions and leading players.
- It thoroughly analyzes market influences such as drivers, restraints, opportunities, and challenges, while evaluating competitive landscapes for top players. Forecasts are provided for segment revenues across major regions.
- The report offers an introduction to big data and its various types, including structured, unstructured, and semi-structured data. Additionally, it explores different types of big data analytics services and their applications in the healthcare industry. Moreover, the chapter discusses the future prospects of big data analytics in the healthcare sector, highlighting its transformative potential and business opportunities for service providers.
- An in-depth analysis is provided on the current landscape of big data in healthcare service providers, considering factors such as establishment year, company size, headquarters location, business model, types of offerings, big data analytics and storage solutions provided, deployment options, application areas, and end users.
- The report comprehensively examines the prevailing trends in the big data healthcare market through various representations, taking into account parameters like company size and headquarters location, business model and company size, types of offerings and headquarters location, big data storage solutions and deployment options, types of big data analytics services and application areas, as well as company size, application areas, and end users.
- Detailed evaluations are conducted on the competitive strengths of big data in healthcare service providers, focusing on their supplier strength and portfolio breadth in terms of the number and types of offerings, big data analytics and storage solutions provided, deployment options, and target end users.
- Elaborate profiles of leading players and concise profiles of other prominent players are presented, selected based on proprietary company competitiveness criteria, offering big data analytics solutions across different geographical regions. Each profile includes an overview of the company, financial information (if available), offerings and capabilities in big data analytics, recent developments, and a well-informed future outlook.
- Accenture
- Akka Technologies
- Altamira.ai
- Amazon Web Services
- Athena Global Technologies
- atom Consultancy Services (ACS)
- Avenga
- Happiest Minds
- InData Labs
- Itransition
- Kellton
- Keyrus
- Lutech
- Microsoft
- Nagarro
- Nous Infosystems
- NTT data
- Oracle
- Orange Mantra
- Oxagile
- Scalefocus
- Softweb Solutions
- Solix Technologies
- Spindox
- Tata Elxsi
- Teradata
- Trianz (formerly CBIG Consulting)
- Trigyn Technologies
- XenonStack
1. PREFACE
1.1. Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines
2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions
2.3. Project Methodology
2.4. Forecast Methodology
2.5. Robust Quality Control
2.6. Key Considerations
2.6.1. Demographics
2.6.2. Economic Factors
2.6.3. Government Regulations
2.6.4. Supply Chain
2.6.5. COVID Impact / Related Factors
2.6.6. Market Access
2.6.7. Healthcare Policies
2.6.8. Industry Consolidation
2.7. Key Market Segmentations
3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS
3.1. Chapter Overview
3.2. Market Dynamics
3.2.1. Time Period
3.2.1.1. Historical Trends
3.2.1.2. Current and Forecasted Estimates
3.2.2. Currency Coverage
3.2.2.1. Major Currencies Affecting the Market
3.2.2.2. Impact of Currency Fluctuations on the Industry
3.2.3. Foreign Exchange Impact
3.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
3.2.3.2. Strategies for Mitigating Foreign Exchange Risk
3.2.4. Recession
3.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
3.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
3.2.5. Inflation
3.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
3.2.5.2. Potential Impact of Inflation on the Market Evolution
4. EXECUTIVE SUMMARY
4.1. Chapter Overview
5. INTRODUCTION
5.1. Chapter Overview
5.2. Overview of Big Data
5.2.1. Types of Big Data
5.2.1.1. Structured Data
5.2.1.2. Unstructured Data
5.2.1.3. Semi-Structured Data
5.2.2. Management and Storage of Big Data
5.3. Big Data Analytics
5.3.1. Types of Big Data Analytics
5.3.1.1. Descriptive Analytics
5.3.1.2. Diagnostic Analytics
5.3.1.3. Predictive Analytics
5.3.1.4. Prescriptive Analytics
5.4. Applications of Big Data in Healthcare
5.5. Future Perspective
6. OVERALL MARKET LANDSCAPE
6.1. Chapter Overview
6.2. Big Data in Healthcare Service Providers: Overall Market Landscape
6.3. Analysis by Year of Establishment
6.4. Analysis by Company Size
6.5. Analysis by Location of Headquarters
6.6. Analysis by Type of Business Model
6.7. Analysis by Type of Offering
6.8. Analysis by Type of Big Data Analytics Offered
6.9. Analysis by Type of Big Data Storage Solution Offered
6.10. Analysis by Deployment Option
6.11. Analysis by Application Area
6.12. Analysis by End User
7. KEY INSIGHTS
7.1. Chapter Overview
7.2. Big Data in Healthcare Service Providers: Key Insights
7.2.1 Analysis by Year of Establishment and Company Size
7.2.2. Analysis by Company Size and Location of Headquarters
7.2.3. Analysis by Type of Offering and Company Size
7.2.4. Analysis by Type of Big Data Analytics Offered and Application Area
7.2.5. Analysis by Company Size, Application Area and End User
8. COMPANY COMPETITIVENSS ANALYSIS
8.1. Chapter Overview
8.2. Assumptions and Key Parameters
8.3. Methodology
8.4. Big Data in Healthcare Service Providers: Company Competitiveness Analysis
8.4.1. Big Data in Healthcare Service Providers based in North America
8.4.1.1. Small Service Providers based in North America
8.4.1.2. Mid-sized Service Providers based in North America
8.4.1.3. Large Service Providers based in North America
8.4.1.4. Very LargeService Providers based in North America
8.4.2. Big Data in Healthcare Service Providers based in Europe
8.4.2.1. Small Service Providers based in Europe
8.4.2.2. Mid-sized Service Providers based in Europe
8.4.2.3. Large and Very Large Service Providers based in Europe
8.4.3. Big Data in Healthcare Service Providers based in Asia and Rest of the World
8.4.3.1. Small Service Providers based in Asia and Rest of the World
8.4.3.2. Mid-sized Service Providers based in Asia and Rest of the World
8.4.3.3. Large Service Providers based in Asia and Rest of the World
8.4.3.4. Very Large Service Providers based in Asia and Rest of the World
9. COMPANY PROFILES: BIG DATA IN HEALTHCARE SERVICE PROVIDERS IN NORTH AMERICA
9.1. Chapter Overview
9.2. Detailed Company Profiles of Leading Players in North America
9.2.1. Amazon Web Services
9.2.1.1. Company Overview
9.2.1.2. Financial Information
9.2.1.3. Big Data Offerings and Capabilities
9.2.1.4. Recent Developments and Future Outlook
9.2.2. Microsoft
9.2.2.1. Company Overview
9.2.2.2. Financial Information
9.2.2.3. Big Data Offerings and Capabilities
9.2.2.4. Recent Developments and Future Outlook
9.2.3. Oracle
9.2.3.1. Company Overview
9.2.3.2. Financial Information
9.2.3.3. Big Data Offerings and Capabilities
9.2.3.4. Recent Developments and Future Outlook
9.2.4. Teradata
9.2.4.1. Company Overview
9.2.4.2. Financial Information
9.2.4.3. Big Data Offerings and Capabilities
9.2.4.4. Recent Developments and Future Outlook
9.3. Short Company Profiles of Other Prominent Players in North America
9.3.1 Itransition
9.3.1.1. Company Overview
9.3.1.2. Big Data Offerings and Capabilities
9.3.2 Nous Infosystems
9.3.2.1. Company Overview
9.3.2.2. Big Data Offerings and Capabilities
9.3.3 Oxagile
9.3.3.1. Company Overview
9.3.3.2. Big Data Offerings and Capabilities
9.3.4 Softweb Solutions
9.3.4.1. Company Overview
9.3.4.2. Big Data Offerings and Capabilities
9.3.5 Solix Technologies
9.3.5.1. Company Overview
9.3.5.2. Big Data Offerings and Capabilities
9.3.6 Trianz (formerly CBIG Consulting)
9.3.6.1. Company Overview
9.3.6.2. Big Data Offerings and Capabilities
10. COMPANY PROFILES: BIG DATA IN HEALTHCARE SERVICE PROVIDERS IN EUROPE
10.1. Chapter Overview
10.2. Detailed Company Profiles of Leading Players in Europe
10.2.1. Accenture
10.2.1.1. Company Overview
10.2.1.2. Financial Information
10.2.1.3. Big Data Offerings and Capabilities
10.2.1.4. Recent Developments and Future Outlook
10.2.2. Keyrus
10.2.2.1. Company Overview
10.2.2.2. Financial Information
10.2.2.3. Big Data Offerings and Capabilities
10.2.2.4. Recent Developments and Future Outlook
10.3. Short Company Profiles of Other Prominent Players in Europe
10.3.1 Akka Technologies
10.3.1.1. Company Overview
10.3.1.2. Big Data Offerings and Capabilities
10.3.2 Altamira.ai
10.3.2.1. Company Overview
10.3.2.2. Big Data Offerings and Capabilities
10.3.3 atom Consultancy Services (ACS)
10.3.3.1. Company Overview
10.3.3.2. Big Data Offerings and Capabilities
10.3.4 Avenga
10.3.4.1. Company Overview
10.3.4.2. Big Data Offerings and Capabilities
10.3.5 Lutech
10.3.5.1. Company Overview
10.3.5.2. Big Data Offerings and Capabilities
10.3.6 Nagarro
10.3.6.1. Company Overview
10.3.6.2. Big Data Offerings and Capabilities
10.3.7 Scalefocus
10.3.7.1. Company Overview
10.3.7.2. Big Data Offerings and Capabilities
10.3.8 Spindox
10.3.8.1. Company Overview
10.3.8.2. Big Data Offerings and Capabilities
11. COMPANY PROFILES: BIG DATA IN HEALTHCARE SERVICE PROVIDERS IN ASIA AND REST OF THE WORLD
11.1. Chapter Overview
11.2. Detailed Company Profiles of Leading Players in Asia and Rest of the World
11.2.1. Tata Elxsi
11.2.1.1. Company Overview
11.2.1.2. Big Data Offerings and Capabilities
11.2.1.3. Recent Developments and Future Outlook
11.2.2. Kellton
11.2.2.1. Company Overview
11.2.2.2. Financial Information
11.2.2.3. Big Data Offerings and Capabilities
11.2.2.4. Recent Developments and Future Outlook
11.3. Short Company Profiles of Other Prominent Players in Asia and Rest of the World
11.3.1 Athena Global Technologies
11.3.1.1. Company Overview
11.3.1.2. Big Data Offerings and Capabilities
11.3.2 Happiest Minds
11.3.2.1. Company Overview
11.3.2.2. Big Data Offerings and Capabilities
11.3.3 InData Labs
11.3.3.1. Company Overview
11.3.3.2. Big Data Offerings and Capabilities
11.3.4 NTT data
11.3.4.1. Company Overview
11.3.4.2. Big Data Offerings and Capabilities
11.3.5 OrangeMantra
11.3.5.1. Company Overview
11.3.5.2. Big Data Offerings and Capabilities
11.3.6 Trigyn Technologies
11.3.6.1. Company Overview
11.3.6.2. Big Data Offerings and Capabilities
11.3.7 XenonStack
11.3.7.1. Company Overview
11.3.7.2. Big Data Offerings and Capabilities
12. MARKET IMPACT ANALYSIS: DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES
12.1. Chapter Overview
12.2. Market Drivers
12.3. Market Restraints
12.4. Market Opportunities
12.5. Market Challenges
12.6. Conclusion
13. GLOBAL BIG DATA IN HEALTHCARE MARKET
13.1. Chapter Overview
13.2. Key Assumptions and Methodology
13.3. Global Big Data in Healthcare Market, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
13.3.1. Scenario Analysis
13.3.1.1. Conservative Scenario
13.3.1.2. Optimistic Scenario
13.4. Key Market Segmentations
14. BIG DATA IN HEALTHCARE MARKET, BY COMPONENT
14.1. Chapter Overview
14.2. Key Assumptions and Methodology
14.3. Big Data in Healthcare Market: Distribution by Component, 2018, 2023 and 2035
14.3.1. Big Data Hardware: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
14.3.2. Big Data Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
14.3.3. Big Data Services: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
14.4. Data Triangulation and Validation
15. BIG DATA IN HEALTHCARE MARKET, BY TYPE OF HARDWARE
15.1. Chapter Overview
15.2. Key Assumptions and Methodology
15.3. Big Data in Healthcare Market: Distribution by Type of Hardware, 2018, 2023 and 2035
15.3.1. Storage Devices: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
15.3.2. Servers: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
15.3.3. Networking Infrastructure: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
15.4. Data Triangulation and Validation
16. BIG DATA IN HEALTHCARE MARKET, BY TYPE OF SOFTWARE
16.1. Chapter Overview
16.2. Key Assumptions and Methodology
16.3. Big Data in Healthcare Market: Distribution by Type of Software, 2018, 2023 and 2035
16.3.1. Electronic Health Record: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.3.2. Revenue Cycle Management Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.3.3. Practice Management Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.3.4. Workforce Management Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.4. Data Triangulation and Validation
17. BIG DATA IN HEALTHCARE MARKET, BY TYPE OF SERVICE
17.1. Chapter Overview
17.2. Key Assumptions and Methodology
17.3. Big Data in Healthcare Market: Distribution by Type of Services, 2018, 2023 and 2035
17.3.1. Diagnostic Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.3.2. Descriptive Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.3.3. Predictive Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.3.4. Prescriptive Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.4. Data Triangulation and Validation
18. BIG DATA IN HEALTHCARE MARKET, BY DEPLOYMENT OPTION
18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Big Data in Healthcare Market: Distribution by Deployment Option, 2018, 2023 and 2035
18.3.1. Cloud-based Deployment: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
18.3.2. On-premises Deployment: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
18.4. Data Triangulation and Validation
19. BIG DATA IN HEALTHCARE MARKET, BY APPLICATION AREA
19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Big Data in Healthcare Market: Distribution by Application Area, 2018, 2023 and 2035
19.3.1. Operational Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.3.2. Clinical Data Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.3.3. Financial Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.3.4. Population Health Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.4. Data Triangulation and Validation
20. BIG DATA IN HEALTHCARE MARKET, BY HEALTHCARE VERTICAL
20.1. Chapter Overview
20.2. Key Assumptions and Methodology
20.3. Big Data in Healthcare Market: Distribution by Healthcare Vertical, 2018, 2023 and 2035
20.3.1. Healthcare Services: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.3.2. Pharmaceuticals: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.3.3. Medical Devices: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.3.4. Other Verticals: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.4. Data Triangulation and Validation
21. BIG DATA IN HEALTHCARE MARKET, BY END USER
21.1. Chapter Overview
21.2. Key Assumptions and Methodology
21.3. Big Data in Healthcare Market: Distribution by End User, 2018, 2023 and 2035
21.3.1. Hospitals: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.3.2. Health Insurance Agencies: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.3.3. Clinics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.3.4. Other End Users: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.4. Data Triangulation and Validation
22. BIG DATA IN HEALTHCARE MARKET, BY ECONOMIC STATUS
22.1. Chapter Overview
22.2. Key Assumptions and Methodology
22.3. Big Data in Healthcare Market: Distribution by Economic Status, 2018, 2023 and 2035
22.3.1. High Income Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.1. US: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.2. Canada: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.3. Germany: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.4. UK: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.5. UAE: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.6. South Korea: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.7. France: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.8. Australia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.9. New Zealand: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.10. Italy: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.11. Saudi Arabia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.11. Nordic Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2. Upper-Middle Income Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. China: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. Russia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. Brazil: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. Japan: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. South Africa: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.3. Lower-Middle Income Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.3.1. India: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.4. Data Triangulation and Validation
23. BIG DATA IN HEALTHCARE MARKET, BY GEOGRAPHY
23.1. Chapter Overview
23.2. Key Assumptions and Methodology
23.3. Big Data in Healthcare Market: Distribution by Geography, 2018, 2023 and 2035
23.3.1. North America: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.2. Europe: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.3. Asia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.4. Middle East and North Africa: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.5. Latin America: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.6. Rest of the World: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.4. Data Triangulation and Validation
24. BIG DATA IN HEALTHCARE MARKET, REVENUE FORECAST OF LEADING PLAYERS
24.1. Chapter Overview
24.2. Key Assumptions and Methodology
24.3. Microsoft: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.4. Optum: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.5. IBM: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.6. Oracle: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.7. Allscripts: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
25. CONCLUSION
25.1. Chapter Overview
26. EXECUTIVE INSIGHTS
26.1. Chapter Overview
26.2. Emorphis Technologies
26.2.1. Company Snapshot
26.2.2. Interview Transcript
26.3. Estenda Solutions
26.3.1. Company Snapshot
26.3.2. Interview Transcript
26.4. DataToBiz
26.4.1. Company Snapshot
26.4.2. Interview Transcript
26.5. Growth Acceleration Partners
26.5.1. Company Snapshot
26.5.2. Interview Transcrip
26.6. W2S Solutions
26.6.1. Company Snapshot
26.6.2. Interview Transcript
26.7. OrangeMantra
26.7.1. Company Snapshot
26.7.2. Interview Transcript
26.8. Soulpage IT Solutions
26.8.1. Company Snapshot
26.8.2. Interview Transcript
26.9. TechMango
26.9.1. Company Snapshot
26.9.2. Interview Transcript
26.10. Tata Elxsi
26.10.1. Company Snapshot
26.10.2. Interview Transcript
26.11. OpenXcell
26.11.1. Company Snapshot
26.11.2. Interview Transcript
26.12. ThirdEye Data
26.12.1. Company Snapshot
26.12.2. Interview Transcript
26.13. NTT Data
26.13.1. Company Snapshot
26.13.2. Interview Transcript
26.14. CodeRiders
26.14.1. Company Snapshot
26.14.2. Interview Transcript
26.15. Xenon Stack
26.15.1. Company Snapshot
26.15.2. Interview Transcript
27. APPENDIX I: TABULATED DATA
28. APPENDIX II: LIST OF COMPANIES AND ORGANIZATIONS
Table 5.1 Comparison between Data Lake and Data Warehouse
Table 6.1 List of Big Data in Healthcare Service Providers
Table 6.2 Big Data in Healthcare Service Providers: Information on Type of Offering and Type of Big Data Analytics Offered
Table 6.3 Big Data in Healthcare Service Providers: Information on Type of Big Data Storage Solution Offered and Deployment Option
Table 6.4 Big Data in Healthcare Service Providers: Information on Application Area and End User
Table 8.1 Company Competitiveness Analysis: Big Data In Healthcare Service Providers based in North America
Table 8.2 Company Competitiveness Analysis: Big Data In Healthcare Service Providers based in Europe
Table 8.3 Company Competitiveness Analysis: Big Data In Healthcare Service Providers Based in Asia and Rest of the World
Table 9.1 Big Data in Healthcare Service Providers in North America: List Companies Profiled
Table 9.2 Amazon Web Services: Company Snapshot
Table 9.3 Amazon Web Services: Big Data Offerings and Capabilities
Table 9.4 Amazon Web Services: Recent Developments and Future Outlook
Table 9.5 Microsoft: Company Snapshot
Table 9.6 Microsoft: Big Data Offerings and Capabilities
Table 9.7 Microsoft: Recent Developments and Future Outlook
Table 9.8 Oracle: Company Snapshot
Table 9.9 Oracle: Big Data Offerings and Capabilities
Table 9.10 Oracle: Recent Developments and Future Outlook
Table 9.11 Teradata: Company Snapshot
Table 9.12 Teradata: Big Data Offerings and Capabilities
Table 9.13 Teradata: Recent Developments and Future Outlook
Table 9.14 Itransition: Company Snapshot
Table 9.15 Itransition: Big Data Offerings and Capabilities
Table 9.16 Nous Infosystems: Company Snapshot
Table 9.17 Nous Infosystems: Big Data Offerings and Capabilities
Table 9.18 Oxagile: Company Snapshot
Table 9.19 Oxagile: Big Data Offerings and Capabilities
Table 9.20 Softweb Solutions: Company Snapshot
Table 9.21 Softweb Solutions: Big Data Offerings and Capabilities
Table 9.22 Solix Technologies: Company Snapshot
Table 9.23 Solix Technologies: Big Data Offerings and Capabilities
Table 9.24 Trianz (formerly CBIG Consulting): Company Snapshot
Table 9.25 Trianz (formerly CBIG Consulting): Big Data Offerings and Capabilities
Table 10.1 Big Data in Healthcare Service Providers in Europe: List Companies Profiled
Table 10.2 Accenture: Company Snapshot
Table 10.3 Accenture: Big Data Offerings and Capabilities
Table 10.4 Accenture: Recent Developments and Future Outlook
Table 10.5 Keyrus: Company Snapshot
Table 10.6 Keyrus: Big Data Offerings and Capabilities
Table 10.7 Keyrus: Recent Developments and Future Outlook
Table 10.8 Akka Technologies: Company Snapshot
Table 10.9 Akka Technologies: Big Data Offerings and Capabilities
Table 10.10 Altamira.ai: Company Snapshot
Table 10.11 Altamira.ai: Big Data Offerings and Capabilities
Table 10.12 atom Consultancy Services (ACS): Company Snapshot
Table 10.13 atom Consultancy Services (ACS): Big Data Offerings and Capabilities
Table 10.14 Avenga: Company Snapshot
Table 10.15 Avenga: Big Data Offerings and Capabilities
Table 10.16 Lutech: Company Snapshot
Table 10.17 Lutech: Big Data Offerings and Capabilities
Table 10.18 Nagarro: Company Snapshot
Table 10.19 Nagarro: Big Data Offerings and Capabilities
Table 10.20 Scalefocus: Company Snapshot
Table 10.21 Scalefocus: Big Data Offerings and Capabilities
Table 10.22 Scalefocus: Company Snapshot
Table 10.23 Scalefocus: Big Data Offerings and Capabilities
Table 11.1 Big Data in Healthcare Service Providers in Asia and Rest of the World: List Companies Profiled
Table 11.2 Tata Elxsi: Company Snapshot
Table 11.3 Tata Elxsi: Big Data Offerings and Capabilities
Table 11.4 Kellton: Company Snapshot
Table 11.5 Kellton: Big Data Offerings and Capabilities
Table 11.6 Athena Global Technologies: Company Snapshot
Table 11.7 Athena Global Technologies: Big Data Offerings and Capabilities
Table 11.8 Happiest Minds: Company Snapshot
Table 11.9 Happiest Minds: Big Data Offerings and Capabilities
Table 11.10 InData Labs: Company Snapshot
Table 11.11 InData Labs: Big Data Offerings and Capabilities
Table 11.12 NTT Data: Company Snapshot
Table 11.13 NTT Data: Big Data Offerings and Capabilities
Table 11.14 OrangeMantra: Company Snapshot
Table 11.15 OrangeMantra: Big Data Offerings and Capabilities
Table 11.16 Trigyn Technologies: Company Snapshot
Table 11.17 Trigyn Technologies: Big Data Offerings and Capabilities
Table 11.18 XenonStack: Company Snapshot
Table 11.19 XenonStack: Big Data Offerings and Capabilities
Table 26.1 Emorphis Technologies: Company Snapshot
Table 26.2 Estenda Solutions: Company Snapshot
Table 26.3 DataToBiz: Company Snapshot
Table 26.4 Growth Acceleration Partners: Company Snapshot
Table 26.5 W2S Solutions: Company Snapshot
Table 26.6 OrangeMantra: Company Snapshot
Table 26.7 Soulpage IT Solutions: Company Snapshot
Table 26.8 TechMango: Company Snapshot
Table 26.9 Tata Elxsi: Company Snapshot
Table 26.10 OpenXcell: Company Snapshot
Table 26.11 ThirdEye Data: Company Snapshot
Table 26.12 NTT Data Services: Company Snapshot
Table 26.13 CodeRiders: Company Snapshot
Table 26.14 Xenon Stack: Company Snapshot
Table 27.1 Big Data in Healthcare Service Providers: Distribution by Year of Establishment
Table 27.2 Big Data in Healthcare Service Providers: Distribution by Company Size
Table 27.3 Big Data in Healthcare Service Providers: Distribution by Location of Headquarters
Table 27.4 Big Data in Healthcare Service Providers: Distribution by Type of Business Model
Table 27.5 Big Data in Healthcare Service Providers: Distribution by Type of Offering
Table 27.6 Big Data in Healthcare Service Providers: Type of Big Data Analytics Offered
Table 27.7 Big Data in Healthcare Service Providers: Type of Big Data Storage Solution Offered
Table 27.8 Big Data in Healthcare Service Providers: Distribution by Deployment Option
Table 27.9 Big Data in Healthcare Service Providers: Distribution by Application Area
Table 27.10 Big Data in Healthcare Service Providers: Distribution by End User
Table 27.11 Big Data in Healthcare Service Providers: Distribution by Year of Establishment and Company Size
Table 27.12 Big Data in Healthcare Service Providers: Distribution by Company Size and Location of Headquarters
Table 27.13 Big Data in Healthcare Service Providers: Distribution by Type of Offering and Company Size
Table 27.14 Big Data in Healthcare Service Providers: Distribution by Type of Big Data Analytics Offered and Application Area
Table 27.15 Big Data in Healthcare Service Providers: Distribution by Company Size, Application Area and End User
Table 27.16 Global Market for Big Data in Healthcare, Historical Trends (2018-2022) (USD Billion)
Table 27.17 Global Market for Big Data in Healthcare, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.18 Big Data in Healthcare Market for Hardware, Historical Trends (2018-2022) (USD Billion)
Table 27.19 Big Data in Healthcare Market for Hardware, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.20 Big Data in Healthcare Market for Software, Historical Trends (2018-2022) (USD Billion)
Table 27.21 Big Data in Healthcare Market for Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.22 Big Data in Healthcare Market for Services, Historical Trends (2018-2022) (USD Billion)
Table 27.23 Big Data in Healthcare Market for Services, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.24 Big Data in Healthcare Market for Storage Devices, Historical Trends (2018-2022) (USD Billion)
Table 27.25 Big Data in Healthcare Market for Storage Devices, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.26 Big Data in Healthcare Market for Servers, Historical Trends (2018-2022) (USD Billion)
Table 27.27 Big Data in Healthcare Market for Servers, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.28 Big Data in Healthcare Market for Networking Infrastructure, Historical Trends (2018-2022) (USD Billion)
Table 27.29 Big Data in Healthcare Market for Networking Infrastructure, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.30 Big Data in Healthcare Market for Electronic Health Record, Historical Trends (2018-2022) (USD Billion)
Table 27.31 Big Data in Healthcare Market for Electronic Health Record, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.32 Big Data in Healthcare Market for Revenue Cycle Management Software, Historical Trends (2018-2022) (USD Billion)
Table 27.33 Big Data in Healthcare Market for Revenue Cycle Management Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.34 Big Data in Healthcare Market for Practice Management Software, Historical Trends (2018-2022) (USD Billion)
Table 27.35 Big Data in Healthcare Market for Practice Management Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.36 Big Data in Healthcare Market for Workforce Management Software, Historical Trends (2018-2022) (USD Billion)
Table 27.37 Big Data in Healthcare Market for Workforce Management Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.38 Big Data in Healthcare Market for Diagnostic Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.39 Big Data in Healthcare Market for Diagnostic Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.40 Big Data in Healthcare Market for Descriptive Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.41 Big Data in Healthcare Market for Descriptive Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.42 Big Data in Healthcare Market for Predictive Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.43 Big Data in Healthcare Market for Predictive Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.44 Big Data in Healthcare Market for Prescriptive Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.45 Big Data in Healthcare Market for Prescriptive Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.46 Big Data in Healthcare Market for Cloud-based Deployment, Historical Trends (2018-2022) (USD Billion)
Table 27.47 Big Data in Healthcare Market for Cloud-based Deployment, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.48 Big Data in Healthcare Market for On-premises Deployment, Historical Trends (2018-2022) (USD Billion)
Table 27.49 Big Data in Healthcare Market for On-premises Deployment, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.50 Big Data in Healthcare Market for Operational Management, Historical Trends (2018-2022) (USD Billion)
Table 27.51 Big Data in Healthcare Market for Operational Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.52 Big Data in Healthcare Market for Clinical Data Management, Historical Trends (2018-2022) (USD Billion)
Table 27.53 Big Data in Healthcare Market for Clinical Data Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.54 Big Data in Healthcare Market for Financial Management, Historical Trends (2018-2022) (USD Billion)
Table 27.55 Big Data in Healthcare Market for Financial Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.56 Big Data in Healthcare Market for Population Health Management, Historical Trends (2018-2022) (USD Billion)
Table 27.57 Big Data in Healthcare Market for Population Health Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.58 Big Data in Healthcare Market for Healthcare Services, Historical Trends (2018-2022) (USD Billion)
Table 27.59 Big Data in Healthcare Market for Healthcare Services, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.60 Big Data in Healthcare Market for Pharmaceuticals, Historical Trends (2018-2022) (USD Billion)
Table 27.61 Big Data in Healthcare Market for Pharmaceuticals, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.62 Big Data in Healthcare Market for Medical Devices, Historical Trends (2018-2022) (USD Billion)
Table 27.63 Big Data in Healthcare Market for Medical Devices, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.64 Big Data in Healthcare Market for Other Verticals, Historical Trends (2018-2022) (USD Billion)
Table 27.65 Big Data in Healthcare Market for Other Verticals, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.66 Big Data in Healthcare Market for Hospitals, Historical Trends (2018-2022) (USD Billion)
Table 27.67 Big Data in Healthcare Market for Hospitals, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.68 Big Data in Healthcare Market for Health Insurance Agencies, Historical Trends (2018-2022) (USD Billion)
Table 27.69 Big Data in Healthcare Market for Health Insurance Agencies, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.70 Big Data in Healthcare Market for Clinics, Historical Trends (2018-2022) (USD Billion)
Table 27.71 Big Data in Healthcare Market for Clinics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.72 Big Data in Healthcare Market for Other End Users, Historical Trends (2018-2022) (USD Billion)
Table 27.73 Big Data in Healthcare Market for Other End Users, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.74 Big Data in Healthcare Market in High Income Countries, Historical Trends (2018-2022) (USD Billion)
Table 27.75 Big Data in Healthcare Market in High Income Countries, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.76 Big Data in Healthcare Market in Upper-Middle Income Countries, Historical Trends (2018-2022) (USD Billion)
Table 27.77 Big Data in Healthcare Market in Upper-Middle Income Countries, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.78 Big Data in Healthcare Market in Lower-Middle Income Countries, Historical Trends (2018-2022) (USD Billion)
Table 27.79 Big Data in Healthcare Market in Lower-Middle Income Countries, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.80 Big Data in Healthcare Market in North America, Historical Trends (2018-2022) (USD Billion)
Table 27.81 Big Data in Healthcare Market in North America, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.82 Big Data in Healthcare Market in Europe, Historical Trends (2018-2022) (USD Billion)
Table 27.83 Big Data in Healthcare Market in Europe, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.84 Big Data in Healthcare Market in Asia, Historical Trends (2018-2022) (USD Billion)
Table 27.85 Big Data in Healthcare Market in Asia, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.86 Big Data in Healthcare Market in Latin America, Historical Trends (2018-2022) (USD Billion)
Table 27.87 Big Data in Healthcare Market in Latin America, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.88 Big Data in Healthcare Market in Middle East and North Africa, Historical Trends (2018-2022) (USD Billion)
Table 27.89 Big Data in Healthcare Market in Middle East and North Africa, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.90 Big Data in Healthcare Market in Rest of the World, Historical Trends (2018-2022) (USD Billion)
Table 27.91 Big Data in Healthcare Market in Rest of the World, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.92 Big Data in Healthcare Market: Distribution by Leading Players, 2018-2023 (USD Billion
Figure 2.1 Research Methodology: Project Methodology
Figure 2.2 Research Methodology: Forecast Methodology
Figure 2.3 Research Methodology: Robust Quality Control
Figure 2.4 Research Methodology: Key Market Segmentation
Figure 3.1 Lessons Learnt from Past Recessions
Figure 4.1 Executive Summary: Overall Market Landscape
Figure 4.2 Executive Summary: Global Market for Big Data in Healthcare by Component, Type of Hardware, Type of Software, Type of Service, and Deployment Option
Figure 4.3 Executive Summary: Global Market for Big Data in Healthcare by Application Area, Healthcare Vertical, End User, Economic Status, Geography and Leading Players
Figure 5.1 Types of Big Data Analytics
Figure 5.2 Applications of Big Data in Healthcare
Figure 6.1 Big Data in Healthcare Service Providers: Distribution by Year of Establishment
Figure 6.2 Big Data in Healthcare Service Providers: Distribution by Company Size
Figure 6.3 Big Data in Healthcare Service Providers: Distribution by Location of Headquarters (Region)
Figure 6.4 Big Data in Healthcare Service Providers: Distribution by Location of Headquarters (Country)
Figure 6.5 Big Data in Healthcare Service Providers: Distribution by Type of Business Model
Figure 6.6 Big Data in Healthcare Service Providers: Distribution by Type of Offering
Figure 6.7 Big Data in Healthcare Service Providers: Type of Big Data Analytics Offered
Figure 6.8 Big Data in Healthcare Service Providers: Type of Big Data Storage Solution Offered
Figure 6.9 Big Data in Healthcare Service Providers: Distribution by Deployment Option
Figure 6.10 Big Data in Healthcare Service Providers: Distribution by Application Area
Figure 6.10 Big Data in Healthcare Service Providers: Distribution by End User
Figure 7.1 Big Data in Healthcare Service Providers: Distribution by Year of Establishment and Company Size
Figure 7.2 Big Data in Healthcare Service Providers: Distribution by Company Size and Location of Headquarters
Figure 7.3 Big Data in Healthcare Service Providers: Distribution by Type of Offering and Company Size
Figure 7.4 Big Data in Healthcare Service Providers: Distribution by Type of Big Data Analytics Offered and Application Area
Figure 7.5 Big Data in Healthcare Service Providers: Distribution by Company Size, Application Area and End User
Figure 8.1 Company Competitiveness Analysis: Small Service Providers based in North America
Figure 8.2 Company Competitiveness Analysis: Mid-sized Service Providers based in North America (I/II)
Figure 8.3 Company Competitiveness Analysis: Mid-sized Service Providers based in North America (II/II)
Figure 8.4 Company Competitiveness Analysis: Large Service Providers based in North America (I/II)
Figure 8.5 Company Competitiveness Analysis: Large Service Providers based in North America (II/II)
Figure 8.6 Company Competitiveness Analysis: Very Large Service Providers based in North America
Figure 8.7 Company Competitiveness Analysis: Small Service Providers based in Europe
Figure 8.8 Company Competitiveness Analysis: Mid-sized Service Providers based in Europe
Figure 8.9 Company Competitiveness Analysis: Large and Very Large Big Service Providers based in Europe
Figure 8.10 Company Competitiveness Analysis: Small Service Providers based in Asia and Rest of the World
Figure 8.11 Company Competitiveness Analysis: Mid-sized Service Providers based in Asia and Rest of the World (I/II)
Figure 8.12 Company Competitiveness Analysis: Mid-sized Service Providers based in Asia and Rest of the World (II/II)
Figure 8.13 Company Competitiveness Analysis: Large Big Service Providers based in Asia and Rest of the World
Figure 8.14 Company Competitiveness Analysis: Very Large Service Providers based in Asia and Rest of the World
Figure 9.1 Amazon Web Services: Annual Revenues, FY 2018 – 9M FY 2023 (USD Billion)
Figure 9.2 Microsoft: Annual Revenues, FY 2018 – Q1 FY 2024 (USD Billion)
Figure 9.3 Oracle: Annual Revenues, FY 2018 – Q1 FY 2024 (USD Billion)
Figure 9.4 Teradata: Annual Revenues, FY 2018 – 9M FY 2023 (USD Billion)
Figure 10.1 Accenture: Annual Revenues, FY 2018 – FY 2023 (USD Billion)
Figure 10.2 Keyrus: Annual Revenues, FY 2018 – H1 FY 2023 (USD Million)
Figure 11.1 Tata Elxsi: Annual Revenues, FY 2018 – H1 FY 2023 (INR Billion)
Figure 11.2 Kellton: Annual Revenues, FY 2018 – FY 2023 (INR Billion)
Figure 12.1 Big Data in Healthcare Market Drivers
Figure 12.2 Big Data in Healthcare Market Restraints
Figure 12.3 Big Data in Healthcare Market Opportunities
Figure 12.4 Big Data in Healthcare Market Challenges
Figure 13.1 Global Market for Big Data in Healthcare, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 13.2 Global Market for Big Data in Healthcare, Forecasted Estimates (2023-2035): Conservative Scenario (USD Billion)
Figure 13.3 Global Market for Big Data in Healthcare, Forecasted Estimates (2023-2035): Optimistic Scenario (USD Billion)
Figure 14.1 Big Data in Healthcare Market: Distribution by Component, 2018, 2023 and 2035 (USD Billion)
Figure 14.2 Big Data in Healthcare Market for Hardware, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 14.3 Big Data in Healthcare Market for Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 14.4 Big Data in Healthcare Market for Services, Historical Trends (2018-2022) and Forecasted Estimates
Figure 15.1 Big Data in Healthcare Market: Distribution by Type of Hardware, 2018, 2023 and 2035 (USD Billion)
Figure 15.2 Big Data in Healthcare Market for Storage Devices, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 15.3 Big Data in Healthcare Market for Servers, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 15.4 Big Data in Healthcare Market for Networking Infrastructure, Historical Trends (2018-2022) and Forecasted Estimates
Figure 16.1 Big Data in Healthcare Market: Distribution by Type of Software, 2018, 2023 and 2035 (USD Billion)
Figure 16.2 Big Data in Healthcare Market for Electronic Health Records, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 16.3 Big Data in Healthcare Market for Revenue Cycle Management Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 16.4 Big Data in Healthcare Market for Practice Management Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 16.5 Big Data in Healthcare Market for Workforce Management Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.1 Big Data in Healthcare Market: Distribution by Type of Service, 2018, 2023 and 2035 (USD Billion)
Figure 17.2 Big Data in Healthcare Market for Diagnostic Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.3 Big Data in Healthcare Market for Descriptive Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.4 Big Data in Healthcare Market for Predictive Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.5 Big Data in Healthcare Market for Prescriptive Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 18.1 Big Data in Healthcare Market: Distribution by Deployment Option, 2018, 2023 and 2035 (USD Billion)
Figure 18.2 Big Data in Healthcare Market for Cloud-based Deployment, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 18.3 Big Data in Healthcare Market for On-premises Deployment, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.1 Big Data in Healthcare Market: Distribution by Application Area, 2018, 2023 and 2035
Figure 19.2 Big Data in Healthcare Market for Operational Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.3 Big Data in Healthcare Market for Clinical Data Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.4 Big Data in Healthcare Market for Financial Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.5 Big Data in Healthcare Market for Population Health Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.1 Big Data in Healthcare Market: Distribution by Healthcare Vertical, 2018, 2023 and 2035
Figure 20.2 Big Data in Healthcare Market for Healthcare Services, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.3 Big Data in Healthcare Market for Pharmaceuticals, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.4 Big Data in Healthcare Market for Medical Devices, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.5 Big Data in Healthcare Market for Other Verticals, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.1 Big Data in Healthcare Market: Distribution by End User, 2018, 2023 and 2035 (USD Billion)
Figure 21.2 Big Data in Healthcare Market for Hospitals, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.3 Big Data in Healthcare Market for Health Insurance Agencies, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.4 Big Data in Healthcare Market for Clinics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.5 Big Data in Healthcare Market for Other End Users, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.1 Big Data in Healthcare Market: Distribution by Economic Status, 2018, 2023 and 2035
Figure 22.2 Big Data in Healthcare Market in High Income Countries, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.3 Big Data in Healthcare Market in the US, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.4 Big Data in Healthcare Market in Canada, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.5 Big Data in Healthcare Market in Germany, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.6 Big Data in Healthcare Market in the UK, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.7 Big Data in Healthcare Market in the UAE, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.8 Big Data in Healthcare Market in South Korea, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.9 Big Data in Healthcare Market in France, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.10 Big Data in Healthcare Market in Australia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.11 Big Data in Healthcare Market in New Zealand, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.12 Big Data in Healthcare Market in Italy, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.13 Big Data in Healthcare Market in Saudi Arabia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.14 Big Data in Healthcare Market in Nordic Countries, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.15 Big Data in Healthcare Market in Upper-Middle Income Countries, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.16 Big Data in Healthcare Market in China, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.17 Big Data in Healthcare Market in Russia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.18 Big Data in Healthcare Market in Brazil, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.19 Big Data in Healthcare Market in Japan, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.20 Big Data in Healthcare Market in South Africa, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.21 Big Data in Healthcare Market in India, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.1 Big Data in Healthcare Market: Distribution by Geography, 2018, 2023 and 2035 (USD Billion)
Figure 23.2 Big Data in Healthcare Market in North America, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.3 Big Data in Healthcare Market in Europe, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.4 Big Data in Healthcare Market in Asia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.5 Big Data in Healthcare Market in Middle East and North Africa, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.6 Big Data in Healthcare Market in Latin America, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.7 Big Data in Healthcare Market in Rest of the World, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 24.1 Microsoft: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 – FY 2023 (USD Billion)
Figure 24.2 Optum: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 – FY 2023 (USD Billion)
Figure 24.3 IBM: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 - FY 2023 (USD Billion)
Figure 24.4 Oracle: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 - FY 2023 (USD Billion)
Figure 24.5 Allscripts: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 - FY 2023 (USD Billion)
1.1. Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines
2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions
2.3. Project Methodology
2.4. Forecast Methodology
2.5. Robust Quality Control
2.6. Key Considerations
2.6.1. Demographics
2.6.2. Economic Factors
2.6.3. Government Regulations
2.6.4. Supply Chain
2.6.5. COVID Impact / Related Factors
2.6.6. Market Access
2.6.7. Healthcare Policies
2.6.8. Industry Consolidation
2.7. Key Market Segmentations
3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS
3.1. Chapter Overview
3.2. Market Dynamics
3.2.1. Time Period
3.2.1.1. Historical Trends
3.2.1.2. Current and Forecasted Estimates
3.2.2. Currency Coverage
3.2.2.1. Major Currencies Affecting the Market
3.2.2.2. Impact of Currency Fluctuations on the Industry
3.2.3. Foreign Exchange Impact
3.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
3.2.3.2. Strategies for Mitigating Foreign Exchange Risk
3.2.4. Recession
3.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
3.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
3.2.5. Inflation
3.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
3.2.5.2. Potential Impact of Inflation on the Market Evolution
4. EXECUTIVE SUMMARY
4.1. Chapter Overview
5. INTRODUCTION
5.1. Chapter Overview
5.2. Overview of Big Data
5.2.1. Types of Big Data
5.2.1.1. Structured Data
5.2.1.2. Unstructured Data
5.2.1.3. Semi-Structured Data
5.2.2. Management and Storage of Big Data
5.3. Big Data Analytics
5.3.1. Types of Big Data Analytics
5.3.1.1. Descriptive Analytics
5.3.1.2. Diagnostic Analytics
5.3.1.3. Predictive Analytics
5.3.1.4. Prescriptive Analytics
5.4. Applications of Big Data in Healthcare
5.5. Future Perspective
6. OVERALL MARKET LANDSCAPE
6.1. Chapter Overview
6.2. Big Data in Healthcare Service Providers: Overall Market Landscape
6.3. Analysis by Year of Establishment
6.4. Analysis by Company Size
6.5. Analysis by Location of Headquarters
6.6. Analysis by Type of Business Model
6.7. Analysis by Type of Offering
6.8. Analysis by Type of Big Data Analytics Offered
6.9. Analysis by Type of Big Data Storage Solution Offered
6.10. Analysis by Deployment Option
6.11. Analysis by Application Area
6.12. Analysis by End User
7. KEY INSIGHTS
7.1. Chapter Overview
7.2. Big Data in Healthcare Service Providers: Key Insights
7.2.1 Analysis by Year of Establishment and Company Size
7.2.2. Analysis by Company Size and Location of Headquarters
7.2.3. Analysis by Type of Offering and Company Size
7.2.4. Analysis by Type of Big Data Analytics Offered and Application Area
7.2.5. Analysis by Company Size, Application Area and End User
8. COMPANY COMPETITIVENSS ANALYSIS
8.1. Chapter Overview
8.2. Assumptions and Key Parameters
8.3. Methodology
8.4. Big Data in Healthcare Service Providers: Company Competitiveness Analysis
8.4.1. Big Data in Healthcare Service Providers based in North America
8.4.1.1. Small Service Providers based in North America
8.4.1.2. Mid-sized Service Providers based in North America
8.4.1.3. Large Service Providers based in North America
8.4.1.4. Very LargeService Providers based in North America
8.4.2. Big Data in Healthcare Service Providers based in Europe
8.4.2.1. Small Service Providers based in Europe
8.4.2.2. Mid-sized Service Providers based in Europe
8.4.2.3. Large and Very Large Service Providers based in Europe
8.4.3. Big Data in Healthcare Service Providers based in Asia and Rest of the World
8.4.3.1. Small Service Providers based in Asia and Rest of the World
8.4.3.2. Mid-sized Service Providers based in Asia and Rest of the World
8.4.3.3. Large Service Providers based in Asia and Rest of the World
8.4.3.4. Very Large Service Providers based in Asia and Rest of the World
9. COMPANY PROFILES: BIG DATA IN HEALTHCARE SERVICE PROVIDERS IN NORTH AMERICA
9.1. Chapter Overview
9.2. Detailed Company Profiles of Leading Players in North America
9.2.1. Amazon Web Services
9.2.1.1. Company Overview
9.2.1.2. Financial Information
9.2.1.3. Big Data Offerings and Capabilities
9.2.1.4. Recent Developments and Future Outlook
9.2.2. Microsoft
9.2.2.1. Company Overview
9.2.2.2. Financial Information
9.2.2.3. Big Data Offerings and Capabilities
9.2.2.4. Recent Developments and Future Outlook
9.2.3. Oracle
9.2.3.1. Company Overview
9.2.3.2. Financial Information
9.2.3.3. Big Data Offerings and Capabilities
9.2.3.4. Recent Developments and Future Outlook
9.2.4. Teradata
9.2.4.1. Company Overview
9.2.4.2. Financial Information
9.2.4.3. Big Data Offerings and Capabilities
9.2.4.4. Recent Developments and Future Outlook
9.3. Short Company Profiles of Other Prominent Players in North America
9.3.1 Itransition
9.3.1.1. Company Overview
9.3.1.2. Big Data Offerings and Capabilities
9.3.2 Nous Infosystems
9.3.2.1. Company Overview
9.3.2.2. Big Data Offerings and Capabilities
9.3.3 Oxagile
9.3.3.1. Company Overview
9.3.3.2. Big Data Offerings and Capabilities
9.3.4 Softweb Solutions
9.3.4.1. Company Overview
9.3.4.2. Big Data Offerings and Capabilities
9.3.5 Solix Technologies
9.3.5.1. Company Overview
9.3.5.2. Big Data Offerings and Capabilities
9.3.6 Trianz (formerly CBIG Consulting)
9.3.6.1. Company Overview
9.3.6.2. Big Data Offerings and Capabilities
10. COMPANY PROFILES: BIG DATA IN HEALTHCARE SERVICE PROVIDERS IN EUROPE
10.1. Chapter Overview
10.2. Detailed Company Profiles of Leading Players in Europe
10.2.1. Accenture
10.2.1.1. Company Overview
10.2.1.2. Financial Information
10.2.1.3. Big Data Offerings and Capabilities
10.2.1.4. Recent Developments and Future Outlook
10.2.2. Keyrus
10.2.2.1. Company Overview
10.2.2.2. Financial Information
10.2.2.3. Big Data Offerings and Capabilities
10.2.2.4. Recent Developments and Future Outlook
10.3. Short Company Profiles of Other Prominent Players in Europe
10.3.1 Akka Technologies
10.3.1.1. Company Overview
10.3.1.2. Big Data Offerings and Capabilities
10.3.2 Altamira.ai
10.3.2.1. Company Overview
10.3.2.2. Big Data Offerings and Capabilities
10.3.3 atom Consultancy Services (ACS)
10.3.3.1. Company Overview
10.3.3.2. Big Data Offerings and Capabilities
10.3.4 Avenga
10.3.4.1. Company Overview
10.3.4.2. Big Data Offerings and Capabilities
10.3.5 Lutech
10.3.5.1. Company Overview
10.3.5.2. Big Data Offerings and Capabilities
10.3.6 Nagarro
10.3.6.1. Company Overview
10.3.6.2. Big Data Offerings and Capabilities
10.3.7 Scalefocus
10.3.7.1. Company Overview
10.3.7.2. Big Data Offerings and Capabilities
10.3.8 Spindox
10.3.8.1. Company Overview
10.3.8.2. Big Data Offerings and Capabilities
11. COMPANY PROFILES: BIG DATA IN HEALTHCARE SERVICE PROVIDERS IN ASIA AND REST OF THE WORLD
11.1. Chapter Overview
11.2. Detailed Company Profiles of Leading Players in Asia and Rest of the World
11.2.1. Tata Elxsi
11.2.1.1. Company Overview
11.2.1.2. Big Data Offerings and Capabilities
11.2.1.3. Recent Developments and Future Outlook
11.2.2. Kellton
11.2.2.1. Company Overview
11.2.2.2. Financial Information
11.2.2.3. Big Data Offerings and Capabilities
11.2.2.4. Recent Developments and Future Outlook
11.3. Short Company Profiles of Other Prominent Players in Asia and Rest of the World
11.3.1 Athena Global Technologies
11.3.1.1. Company Overview
11.3.1.2. Big Data Offerings and Capabilities
11.3.2 Happiest Minds
11.3.2.1. Company Overview
11.3.2.2. Big Data Offerings and Capabilities
11.3.3 InData Labs
11.3.3.1. Company Overview
11.3.3.2. Big Data Offerings and Capabilities
11.3.4 NTT data
11.3.4.1. Company Overview
11.3.4.2. Big Data Offerings and Capabilities
11.3.5 OrangeMantra
11.3.5.1. Company Overview
11.3.5.2. Big Data Offerings and Capabilities
11.3.6 Trigyn Technologies
11.3.6.1. Company Overview
11.3.6.2. Big Data Offerings and Capabilities
11.3.7 XenonStack
11.3.7.1. Company Overview
11.3.7.2. Big Data Offerings and Capabilities
12. MARKET IMPACT ANALYSIS: DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES
12.1. Chapter Overview
12.2. Market Drivers
12.3. Market Restraints
12.4. Market Opportunities
12.5. Market Challenges
12.6. Conclusion
13. GLOBAL BIG DATA IN HEALTHCARE MARKET
13.1. Chapter Overview
13.2. Key Assumptions and Methodology
13.3. Global Big Data in Healthcare Market, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
13.3.1. Scenario Analysis
13.3.1.1. Conservative Scenario
13.3.1.2. Optimistic Scenario
13.4. Key Market Segmentations
14. BIG DATA IN HEALTHCARE MARKET, BY COMPONENT
14.1. Chapter Overview
14.2. Key Assumptions and Methodology
14.3. Big Data in Healthcare Market: Distribution by Component, 2018, 2023 and 2035
14.3.1. Big Data Hardware: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
14.3.2. Big Data Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
14.3.3. Big Data Services: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
14.4. Data Triangulation and Validation
15. BIG DATA IN HEALTHCARE MARKET, BY TYPE OF HARDWARE
15.1. Chapter Overview
15.2. Key Assumptions and Methodology
15.3. Big Data in Healthcare Market: Distribution by Type of Hardware, 2018, 2023 and 2035
15.3.1. Storage Devices: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
15.3.2. Servers: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
15.3.3. Networking Infrastructure: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
15.4. Data Triangulation and Validation
16. BIG DATA IN HEALTHCARE MARKET, BY TYPE OF SOFTWARE
16.1. Chapter Overview
16.2. Key Assumptions and Methodology
16.3. Big Data in Healthcare Market: Distribution by Type of Software, 2018, 2023 and 2035
16.3.1. Electronic Health Record: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.3.2. Revenue Cycle Management Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.3.3. Practice Management Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.3.4. Workforce Management Software: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
16.4. Data Triangulation and Validation
17. BIG DATA IN HEALTHCARE MARKET, BY TYPE OF SERVICE
17.1. Chapter Overview
17.2. Key Assumptions and Methodology
17.3. Big Data in Healthcare Market: Distribution by Type of Services, 2018, 2023 and 2035
17.3.1. Diagnostic Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.3.2. Descriptive Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.3.3. Predictive Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.3.4. Prescriptive Analytics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
17.4. Data Triangulation and Validation
18. BIG DATA IN HEALTHCARE MARKET, BY DEPLOYMENT OPTION
18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Big Data in Healthcare Market: Distribution by Deployment Option, 2018, 2023 and 2035
18.3.1. Cloud-based Deployment: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
18.3.2. On-premises Deployment: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
18.4. Data Triangulation and Validation
19. BIG DATA IN HEALTHCARE MARKET, BY APPLICATION AREA
19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Big Data in Healthcare Market: Distribution by Application Area, 2018, 2023 and 2035
19.3.1. Operational Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.3.2. Clinical Data Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.3.3. Financial Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.3.4. Population Health Management: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
19.4. Data Triangulation and Validation
20. BIG DATA IN HEALTHCARE MARKET, BY HEALTHCARE VERTICAL
20.1. Chapter Overview
20.2. Key Assumptions and Methodology
20.3. Big Data in Healthcare Market: Distribution by Healthcare Vertical, 2018, 2023 and 2035
20.3.1. Healthcare Services: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.3.2. Pharmaceuticals: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.3.3. Medical Devices: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.3.4. Other Verticals: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
20.4. Data Triangulation and Validation
21. BIG DATA IN HEALTHCARE MARKET, BY END USER
21.1. Chapter Overview
21.2. Key Assumptions and Methodology
21.3. Big Data in Healthcare Market: Distribution by End User, 2018, 2023 and 2035
21.3.1. Hospitals: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.3.2. Health Insurance Agencies: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.3.3. Clinics: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.3.4. Other End Users: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
21.4. Data Triangulation and Validation
22. BIG DATA IN HEALTHCARE MARKET, BY ECONOMIC STATUS
22.1. Chapter Overview
22.2. Key Assumptions and Methodology
22.3. Big Data in Healthcare Market: Distribution by Economic Status, 2018, 2023 and 2035
22.3.1. High Income Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.1. US: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.2. Canada: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.3. Germany: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.4. UK: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.5. UAE: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.6. South Korea: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.7. France: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.8. Australia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.9. New Zealand: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.10. Italy: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.11. Saudi Arabia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.1.11. Nordic Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2. Upper-Middle Income Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. China: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. Russia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. Brazil: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. Japan: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.2.1. South Africa: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.3. Lower-Middle Income Countries: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.3.3.1. India: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
22.4. Data Triangulation and Validation
23. BIG DATA IN HEALTHCARE MARKET, BY GEOGRAPHY
23.1. Chapter Overview
23.2. Key Assumptions and Methodology
23.3. Big Data in Healthcare Market: Distribution by Geography, 2018, 2023 and 2035
23.3.1. North America: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.2. Europe: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.3. Asia: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.4. Middle East and North Africa: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.5. Latin America: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.3.6. Rest of the World: Historical Trends (2018-2022) and Forecasted Estimates (2023-2035)
23.4. Data Triangulation and Validation
24. BIG DATA IN HEALTHCARE MARKET, REVENUE FORECAST OF LEADING PLAYERS
24.1. Chapter Overview
24.2. Key Assumptions and Methodology
24.3. Microsoft: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.4. Optum: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.5. IBM: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.6. Oracle: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
24.7. Allscripts: Revenue Generated from Big Data in Healthcare Offerings FY 2018 – FY 2023
25. CONCLUSION
25.1. Chapter Overview
26. EXECUTIVE INSIGHTS
26.1. Chapter Overview
26.2. Emorphis Technologies
26.2.1. Company Snapshot
26.2.2. Interview Transcript
26.3. Estenda Solutions
26.3.1. Company Snapshot
26.3.2. Interview Transcript
26.4. DataToBiz
26.4.1. Company Snapshot
26.4.2. Interview Transcript
26.5. Growth Acceleration Partners
26.5.1. Company Snapshot
26.5.2. Interview Transcrip
26.6. W2S Solutions
26.6.1. Company Snapshot
26.6.2. Interview Transcript
26.7. OrangeMantra
26.7.1. Company Snapshot
26.7.2. Interview Transcript
26.8. Soulpage IT Solutions
26.8.1. Company Snapshot
26.8.2. Interview Transcript
26.9. TechMango
26.9.1. Company Snapshot
26.9.2. Interview Transcript
26.10. Tata Elxsi
26.10.1. Company Snapshot
26.10.2. Interview Transcript
26.11. OpenXcell
26.11.1. Company Snapshot
26.11.2. Interview Transcript
26.12. ThirdEye Data
26.12.1. Company Snapshot
26.12.2. Interview Transcript
26.13. NTT Data
26.13.1. Company Snapshot
26.13.2. Interview Transcript
26.14. CodeRiders
26.14.1. Company Snapshot
26.14.2. Interview Transcript
26.15. Xenon Stack
26.15.1. Company Snapshot
26.15.2. Interview Transcript
27. APPENDIX I: TABULATED DATA
28. APPENDIX II: LIST OF COMPANIES AND ORGANIZATIONS
Table 5.1 Comparison between Data Lake and Data Warehouse
Table 6.1 List of Big Data in Healthcare Service Providers
Table 6.2 Big Data in Healthcare Service Providers: Information on Type of Offering and Type of Big Data Analytics Offered
Table 6.3 Big Data in Healthcare Service Providers: Information on Type of Big Data Storage Solution Offered and Deployment Option
Table 6.4 Big Data in Healthcare Service Providers: Information on Application Area and End User
Table 8.1 Company Competitiveness Analysis: Big Data In Healthcare Service Providers based in North America
Table 8.2 Company Competitiveness Analysis: Big Data In Healthcare Service Providers based in Europe
Table 8.3 Company Competitiveness Analysis: Big Data In Healthcare Service Providers Based in Asia and Rest of the World
Table 9.1 Big Data in Healthcare Service Providers in North America: List Companies Profiled
Table 9.2 Amazon Web Services: Company Snapshot
Table 9.3 Amazon Web Services: Big Data Offerings and Capabilities
Table 9.4 Amazon Web Services: Recent Developments and Future Outlook
Table 9.5 Microsoft: Company Snapshot
Table 9.6 Microsoft: Big Data Offerings and Capabilities
Table 9.7 Microsoft: Recent Developments and Future Outlook
Table 9.8 Oracle: Company Snapshot
Table 9.9 Oracle: Big Data Offerings and Capabilities
Table 9.10 Oracle: Recent Developments and Future Outlook
Table 9.11 Teradata: Company Snapshot
Table 9.12 Teradata: Big Data Offerings and Capabilities
Table 9.13 Teradata: Recent Developments and Future Outlook
Table 9.14 Itransition: Company Snapshot
Table 9.15 Itransition: Big Data Offerings and Capabilities
Table 9.16 Nous Infosystems: Company Snapshot
Table 9.17 Nous Infosystems: Big Data Offerings and Capabilities
Table 9.18 Oxagile: Company Snapshot
Table 9.19 Oxagile: Big Data Offerings and Capabilities
Table 9.20 Softweb Solutions: Company Snapshot
Table 9.21 Softweb Solutions: Big Data Offerings and Capabilities
Table 9.22 Solix Technologies: Company Snapshot
Table 9.23 Solix Technologies: Big Data Offerings and Capabilities
Table 9.24 Trianz (formerly CBIG Consulting): Company Snapshot
Table 9.25 Trianz (formerly CBIG Consulting): Big Data Offerings and Capabilities
Table 10.1 Big Data in Healthcare Service Providers in Europe: List Companies Profiled
Table 10.2 Accenture: Company Snapshot
Table 10.3 Accenture: Big Data Offerings and Capabilities
Table 10.4 Accenture: Recent Developments and Future Outlook
Table 10.5 Keyrus: Company Snapshot
Table 10.6 Keyrus: Big Data Offerings and Capabilities
Table 10.7 Keyrus: Recent Developments and Future Outlook
Table 10.8 Akka Technologies: Company Snapshot
Table 10.9 Akka Technologies: Big Data Offerings and Capabilities
Table 10.10 Altamira.ai: Company Snapshot
Table 10.11 Altamira.ai: Big Data Offerings and Capabilities
Table 10.12 atom Consultancy Services (ACS): Company Snapshot
Table 10.13 atom Consultancy Services (ACS): Big Data Offerings and Capabilities
Table 10.14 Avenga: Company Snapshot
Table 10.15 Avenga: Big Data Offerings and Capabilities
Table 10.16 Lutech: Company Snapshot
Table 10.17 Lutech: Big Data Offerings and Capabilities
Table 10.18 Nagarro: Company Snapshot
Table 10.19 Nagarro: Big Data Offerings and Capabilities
Table 10.20 Scalefocus: Company Snapshot
Table 10.21 Scalefocus: Big Data Offerings and Capabilities
Table 10.22 Scalefocus: Company Snapshot
Table 10.23 Scalefocus: Big Data Offerings and Capabilities
Table 11.1 Big Data in Healthcare Service Providers in Asia and Rest of the World: List Companies Profiled
Table 11.2 Tata Elxsi: Company Snapshot
Table 11.3 Tata Elxsi: Big Data Offerings and Capabilities
Table 11.4 Kellton: Company Snapshot
Table 11.5 Kellton: Big Data Offerings and Capabilities
Table 11.6 Athena Global Technologies: Company Snapshot
Table 11.7 Athena Global Technologies: Big Data Offerings and Capabilities
Table 11.8 Happiest Minds: Company Snapshot
Table 11.9 Happiest Minds: Big Data Offerings and Capabilities
Table 11.10 InData Labs: Company Snapshot
Table 11.11 InData Labs: Big Data Offerings and Capabilities
Table 11.12 NTT Data: Company Snapshot
Table 11.13 NTT Data: Big Data Offerings and Capabilities
Table 11.14 OrangeMantra: Company Snapshot
Table 11.15 OrangeMantra: Big Data Offerings and Capabilities
Table 11.16 Trigyn Technologies: Company Snapshot
Table 11.17 Trigyn Technologies: Big Data Offerings and Capabilities
Table 11.18 XenonStack: Company Snapshot
Table 11.19 XenonStack: Big Data Offerings and Capabilities
Table 26.1 Emorphis Technologies: Company Snapshot
Table 26.2 Estenda Solutions: Company Snapshot
Table 26.3 DataToBiz: Company Snapshot
Table 26.4 Growth Acceleration Partners: Company Snapshot
Table 26.5 W2S Solutions: Company Snapshot
Table 26.6 OrangeMantra: Company Snapshot
Table 26.7 Soulpage IT Solutions: Company Snapshot
Table 26.8 TechMango: Company Snapshot
Table 26.9 Tata Elxsi: Company Snapshot
Table 26.10 OpenXcell: Company Snapshot
Table 26.11 ThirdEye Data: Company Snapshot
Table 26.12 NTT Data Services: Company Snapshot
Table 26.13 CodeRiders: Company Snapshot
Table 26.14 Xenon Stack: Company Snapshot
Table 27.1 Big Data in Healthcare Service Providers: Distribution by Year of Establishment
Table 27.2 Big Data in Healthcare Service Providers: Distribution by Company Size
Table 27.3 Big Data in Healthcare Service Providers: Distribution by Location of Headquarters
Table 27.4 Big Data in Healthcare Service Providers: Distribution by Type of Business Model
Table 27.5 Big Data in Healthcare Service Providers: Distribution by Type of Offering
Table 27.6 Big Data in Healthcare Service Providers: Type of Big Data Analytics Offered
Table 27.7 Big Data in Healthcare Service Providers: Type of Big Data Storage Solution Offered
Table 27.8 Big Data in Healthcare Service Providers: Distribution by Deployment Option
Table 27.9 Big Data in Healthcare Service Providers: Distribution by Application Area
Table 27.10 Big Data in Healthcare Service Providers: Distribution by End User
Table 27.11 Big Data in Healthcare Service Providers: Distribution by Year of Establishment and Company Size
Table 27.12 Big Data in Healthcare Service Providers: Distribution by Company Size and Location of Headquarters
Table 27.13 Big Data in Healthcare Service Providers: Distribution by Type of Offering and Company Size
Table 27.14 Big Data in Healthcare Service Providers: Distribution by Type of Big Data Analytics Offered and Application Area
Table 27.15 Big Data in Healthcare Service Providers: Distribution by Company Size, Application Area and End User
Table 27.16 Global Market for Big Data in Healthcare, Historical Trends (2018-2022) (USD Billion)
Table 27.17 Global Market for Big Data in Healthcare, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.18 Big Data in Healthcare Market for Hardware, Historical Trends (2018-2022) (USD Billion)
Table 27.19 Big Data in Healthcare Market for Hardware, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.20 Big Data in Healthcare Market for Software, Historical Trends (2018-2022) (USD Billion)
Table 27.21 Big Data in Healthcare Market for Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.22 Big Data in Healthcare Market for Services, Historical Trends (2018-2022) (USD Billion)
Table 27.23 Big Data in Healthcare Market for Services, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.24 Big Data in Healthcare Market for Storage Devices, Historical Trends (2018-2022) (USD Billion)
Table 27.25 Big Data in Healthcare Market for Storage Devices, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.26 Big Data in Healthcare Market for Servers, Historical Trends (2018-2022) (USD Billion)
Table 27.27 Big Data in Healthcare Market for Servers, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.28 Big Data in Healthcare Market for Networking Infrastructure, Historical Trends (2018-2022) (USD Billion)
Table 27.29 Big Data in Healthcare Market for Networking Infrastructure, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.30 Big Data in Healthcare Market for Electronic Health Record, Historical Trends (2018-2022) (USD Billion)
Table 27.31 Big Data in Healthcare Market for Electronic Health Record, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.32 Big Data in Healthcare Market for Revenue Cycle Management Software, Historical Trends (2018-2022) (USD Billion)
Table 27.33 Big Data in Healthcare Market for Revenue Cycle Management Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.34 Big Data in Healthcare Market for Practice Management Software, Historical Trends (2018-2022) (USD Billion)
Table 27.35 Big Data in Healthcare Market for Practice Management Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.36 Big Data in Healthcare Market for Workforce Management Software, Historical Trends (2018-2022) (USD Billion)
Table 27.37 Big Data in Healthcare Market for Workforce Management Software, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.38 Big Data in Healthcare Market for Diagnostic Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.39 Big Data in Healthcare Market for Diagnostic Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.40 Big Data in Healthcare Market for Descriptive Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.41 Big Data in Healthcare Market for Descriptive Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.42 Big Data in Healthcare Market for Predictive Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.43 Big Data in Healthcare Market for Predictive Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.44 Big Data in Healthcare Market for Prescriptive Analytics, Historical Trends (2018-2022) (USD Billion)
Table 27.45 Big Data in Healthcare Market for Prescriptive Analytics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.46 Big Data in Healthcare Market for Cloud-based Deployment, Historical Trends (2018-2022) (USD Billion)
Table 27.47 Big Data in Healthcare Market for Cloud-based Deployment, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.48 Big Data in Healthcare Market for On-premises Deployment, Historical Trends (2018-2022) (USD Billion)
Table 27.49 Big Data in Healthcare Market for On-premises Deployment, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.50 Big Data in Healthcare Market for Operational Management, Historical Trends (2018-2022) (USD Billion)
Table 27.51 Big Data in Healthcare Market for Operational Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.52 Big Data in Healthcare Market for Clinical Data Management, Historical Trends (2018-2022) (USD Billion)
Table 27.53 Big Data in Healthcare Market for Clinical Data Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.54 Big Data in Healthcare Market for Financial Management, Historical Trends (2018-2022) (USD Billion)
Table 27.55 Big Data in Healthcare Market for Financial Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.56 Big Data in Healthcare Market for Population Health Management, Historical Trends (2018-2022) (USD Billion)
Table 27.57 Big Data in Healthcare Market for Population Health Management, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.58 Big Data in Healthcare Market for Healthcare Services, Historical Trends (2018-2022) (USD Billion)
Table 27.59 Big Data in Healthcare Market for Healthcare Services, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.60 Big Data in Healthcare Market for Pharmaceuticals, Historical Trends (2018-2022) (USD Billion)
Table 27.61 Big Data in Healthcare Market for Pharmaceuticals, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.62 Big Data in Healthcare Market for Medical Devices, Historical Trends (2018-2022) (USD Billion)
Table 27.63 Big Data in Healthcare Market for Medical Devices, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.64 Big Data in Healthcare Market for Other Verticals, Historical Trends (2018-2022) (USD Billion)
Table 27.65 Big Data in Healthcare Market for Other Verticals, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.66 Big Data in Healthcare Market for Hospitals, Historical Trends (2018-2022) (USD Billion)
Table 27.67 Big Data in Healthcare Market for Hospitals, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.68 Big Data in Healthcare Market for Health Insurance Agencies, Historical Trends (2018-2022) (USD Billion)
Table 27.69 Big Data in Healthcare Market for Health Insurance Agencies, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.70 Big Data in Healthcare Market for Clinics, Historical Trends (2018-2022) (USD Billion)
Table 27.71 Big Data in Healthcare Market for Clinics, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.72 Big Data in Healthcare Market for Other End Users, Historical Trends (2018-2022) (USD Billion)
Table 27.73 Big Data in Healthcare Market for Other End Users, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.74 Big Data in Healthcare Market in High Income Countries, Historical Trends (2018-2022) (USD Billion)
Table 27.75 Big Data in Healthcare Market in High Income Countries, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.76 Big Data in Healthcare Market in Upper-Middle Income Countries, Historical Trends (2018-2022) (USD Billion)
Table 27.77 Big Data in Healthcare Market in Upper-Middle Income Countries, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.78 Big Data in Healthcare Market in Lower-Middle Income Countries, Historical Trends (2018-2022) (USD Billion)
Table 27.79 Big Data in Healthcare Market in Lower-Middle Income Countries, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.80 Big Data in Healthcare Market in North America, Historical Trends (2018-2022) (USD Billion)
Table 27.81 Big Data in Healthcare Market in North America, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.82 Big Data in Healthcare Market in Europe, Historical Trends (2018-2022) (USD Billion)
Table 27.83 Big Data in Healthcare Market in Europe, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.84 Big Data in Healthcare Market in Asia, Historical Trends (2018-2022) (USD Billion)
Table 27.85 Big Data in Healthcare Market in Asia, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.86 Big Data in Healthcare Market in Latin America, Historical Trends (2018-2022) (USD Billion)
Table 27.87 Big Data in Healthcare Market in Latin America, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.88 Big Data in Healthcare Market in Middle East and North Africa, Historical Trends (2018-2022) (USD Billion)
Table 27.89 Big Data in Healthcare Market in Middle East and North Africa, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.90 Big Data in Healthcare Market in Rest of the World, Historical Trends (2018-2022) (USD Billion)
Table 27.91 Big Data in Healthcare Market in Rest of the World, Forecasted Estimates (2023-2035), Conservative, Base and Optimistic Scenarios (USD Billion)
Table 27.92 Big Data in Healthcare Market: Distribution by Leading Players, 2018-2023 (USD Billion
Figure 2.1 Research Methodology: Project Methodology
Figure 2.2 Research Methodology: Forecast Methodology
Figure 2.3 Research Methodology: Robust Quality Control
Figure 2.4 Research Methodology: Key Market Segmentation
Figure 3.1 Lessons Learnt from Past Recessions
Figure 4.1 Executive Summary: Overall Market Landscape
Figure 4.2 Executive Summary: Global Market for Big Data in Healthcare by Component, Type of Hardware, Type of Software, Type of Service, and Deployment Option
Figure 4.3 Executive Summary: Global Market for Big Data in Healthcare by Application Area, Healthcare Vertical, End User, Economic Status, Geography and Leading Players
Figure 5.1 Types of Big Data Analytics
Figure 5.2 Applications of Big Data in Healthcare
Figure 6.1 Big Data in Healthcare Service Providers: Distribution by Year of Establishment
Figure 6.2 Big Data in Healthcare Service Providers: Distribution by Company Size
Figure 6.3 Big Data in Healthcare Service Providers: Distribution by Location of Headquarters (Region)
Figure 6.4 Big Data in Healthcare Service Providers: Distribution by Location of Headquarters (Country)
Figure 6.5 Big Data in Healthcare Service Providers: Distribution by Type of Business Model
Figure 6.6 Big Data in Healthcare Service Providers: Distribution by Type of Offering
Figure 6.7 Big Data in Healthcare Service Providers: Type of Big Data Analytics Offered
Figure 6.8 Big Data in Healthcare Service Providers: Type of Big Data Storage Solution Offered
Figure 6.9 Big Data in Healthcare Service Providers: Distribution by Deployment Option
Figure 6.10 Big Data in Healthcare Service Providers: Distribution by Application Area
Figure 6.10 Big Data in Healthcare Service Providers: Distribution by End User
Figure 7.1 Big Data in Healthcare Service Providers: Distribution by Year of Establishment and Company Size
Figure 7.2 Big Data in Healthcare Service Providers: Distribution by Company Size and Location of Headquarters
Figure 7.3 Big Data in Healthcare Service Providers: Distribution by Type of Offering and Company Size
Figure 7.4 Big Data in Healthcare Service Providers: Distribution by Type of Big Data Analytics Offered and Application Area
Figure 7.5 Big Data in Healthcare Service Providers: Distribution by Company Size, Application Area and End User
Figure 8.1 Company Competitiveness Analysis: Small Service Providers based in North America
Figure 8.2 Company Competitiveness Analysis: Mid-sized Service Providers based in North America (I/II)
Figure 8.3 Company Competitiveness Analysis: Mid-sized Service Providers based in North America (II/II)
Figure 8.4 Company Competitiveness Analysis: Large Service Providers based in North America (I/II)
Figure 8.5 Company Competitiveness Analysis: Large Service Providers based in North America (II/II)
Figure 8.6 Company Competitiveness Analysis: Very Large Service Providers based in North America
Figure 8.7 Company Competitiveness Analysis: Small Service Providers based in Europe
Figure 8.8 Company Competitiveness Analysis: Mid-sized Service Providers based in Europe
Figure 8.9 Company Competitiveness Analysis: Large and Very Large Big Service Providers based in Europe
Figure 8.10 Company Competitiveness Analysis: Small Service Providers based in Asia and Rest of the World
Figure 8.11 Company Competitiveness Analysis: Mid-sized Service Providers based in Asia and Rest of the World (I/II)
Figure 8.12 Company Competitiveness Analysis: Mid-sized Service Providers based in Asia and Rest of the World (II/II)
Figure 8.13 Company Competitiveness Analysis: Large Big Service Providers based in Asia and Rest of the World
Figure 8.14 Company Competitiveness Analysis: Very Large Service Providers based in Asia and Rest of the World
Figure 9.1 Amazon Web Services: Annual Revenues, FY 2018 – 9M FY 2023 (USD Billion)
Figure 9.2 Microsoft: Annual Revenues, FY 2018 – Q1 FY 2024 (USD Billion)
Figure 9.3 Oracle: Annual Revenues, FY 2018 – Q1 FY 2024 (USD Billion)
Figure 9.4 Teradata: Annual Revenues, FY 2018 – 9M FY 2023 (USD Billion)
Figure 10.1 Accenture: Annual Revenues, FY 2018 – FY 2023 (USD Billion)
Figure 10.2 Keyrus: Annual Revenues, FY 2018 – H1 FY 2023 (USD Million)
Figure 11.1 Tata Elxsi: Annual Revenues, FY 2018 – H1 FY 2023 (INR Billion)
Figure 11.2 Kellton: Annual Revenues, FY 2018 – FY 2023 (INR Billion)
Figure 12.1 Big Data in Healthcare Market Drivers
Figure 12.2 Big Data in Healthcare Market Restraints
Figure 12.3 Big Data in Healthcare Market Opportunities
Figure 12.4 Big Data in Healthcare Market Challenges
Figure 13.1 Global Market for Big Data in Healthcare, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 13.2 Global Market for Big Data in Healthcare, Forecasted Estimates (2023-2035): Conservative Scenario (USD Billion)
Figure 13.3 Global Market for Big Data in Healthcare, Forecasted Estimates (2023-2035): Optimistic Scenario (USD Billion)
Figure 14.1 Big Data in Healthcare Market: Distribution by Component, 2018, 2023 and 2035 (USD Billion)
Figure 14.2 Big Data in Healthcare Market for Hardware, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 14.3 Big Data in Healthcare Market for Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 14.4 Big Data in Healthcare Market for Services, Historical Trends (2018-2022) and Forecasted Estimates
Figure 15.1 Big Data in Healthcare Market: Distribution by Type of Hardware, 2018, 2023 and 2035 (USD Billion)
Figure 15.2 Big Data in Healthcare Market for Storage Devices, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 15.3 Big Data in Healthcare Market for Servers, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 15.4 Big Data in Healthcare Market for Networking Infrastructure, Historical Trends (2018-2022) and Forecasted Estimates
Figure 16.1 Big Data in Healthcare Market: Distribution by Type of Software, 2018, 2023 and 2035 (USD Billion)
Figure 16.2 Big Data in Healthcare Market for Electronic Health Records, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 16.3 Big Data in Healthcare Market for Revenue Cycle Management Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 16.4 Big Data in Healthcare Market for Practice Management Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 16.5 Big Data in Healthcare Market for Workforce Management Software, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.1 Big Data in Healthcare Market: Distribution by Type of Service, 2018, 2023 and 2035 (USD Billion)
Figure 17.2 Big Data in Healthcare Market for Diagnostic Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.3 Big Data in Healthcare Market for Descriptive Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.4 Big Data in Healthcare Market for Predictive Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 17.5 Big Data in Healthcare Market for Prescriptive Analytics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 18.1 Big Data in Healthcare Market: Distribution by Deployment Option, 2018, 2023 and 2035 (USD Billion)
Figure 18.2 Big Data in Healthcare Market for Cloud-based Deployment, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 18.3 Big Data in Healthcare Market for On-premises Deployment, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.1 Big Data in Healthcare Market: Distribution by Application Area, 2018, 2023 and 2035
Figure 19.2 Big Data in Healthcare Market for Operational Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.3 Big Data in Healthcare Market for Clinical Data Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.4 Big Data in Healthcare Market for Financial Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 19.5 Big Data in Healthcare Market for Population Health Management, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.1 Big Data in Healthcare Market: Distribution by Healthcare Vertical, 2018, 2023 and 2035
Figure 20.2 Big Data in Healthcare Market for Healthcare Services, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.3 Big Data in Healthcare Market for Pharmaceuticals, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.4 Big Data in Healthcare Market for Medical Devices, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 20.5 Big Data in Healthcare Market for Other Verticals, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.1 Big Data in Healthcare Market: Distribution by End User, 2018, 2023 and 2035 (USD Billion)
Figure 21.2 Big Data in Healthcare Market for Hospitals, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.3 Big Data in Healthcare Market for Health Insurance Agencies, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.4 Big Data in Healthcare Market for Clinics, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 21.5 Big Data in Healthcare Market for Other End Users, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.1 Big Data in Healthcare Market: Distribution by Economic Status, 2018, 2023 and 2035
Figure 22.2 Big Data in Healthcare Market in High Income Countries, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.3 Big Data in Healthcare Market in the US, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.4 Big Data in Healthcare Market in Canada, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.5 Big Data in Healthcare Market in Germany, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.6 Big Data in Healthcare Market in the UK, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.7 Big Data in Healthcare Market in the UAE, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.8 Big Data in Healthcare Market in South Korea, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.9 Big Data in Healthcare Market in France, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.10 Big Data in Healthcare Market in Australia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.11 Big Data in Healthcare Market in New Zealand, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.12 Big Data in Healthcare Market in Italy, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.13 Big Data in Healthcare Market in Saudi Arabia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.14 Big Data in Healthcare Market in Nordic Countries, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.15 Big Data in Healthcare Market in Upper-Middle Income Countries, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.16 Big Data in Healthcare Market in China, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.17 Big Data in Healthcare Market in Russia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.18 Big Data in Healthcare Market in Brazil, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.19 Big Data in Healthcare Market in Japan, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.20 Big Data in Healthcare Market in South Africa, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 22.21 Big Data in Healthcare Market in India, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.1 Big Data in Healthcare Market: Distribution by Geography, 2018, 2023 and 2035 (USD Billion)
Figure 23.2 Big Data in Healthcare Market in North America, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.3 Big Data in Healthcare Market in Europe, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.4 Big Data in Healthcare Market in Asia, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.5 Big Data in Healthcare Market in Middle East and North Africa, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.6 Big Data in Healthcare Market in Latin America, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 23.7 Big Data in Healthcare Market in Rest of the World, Historical Trends (2018-2022) and Forecasted Estimates (2023-2035) (USD Billion)
Figure 24.1 Microsoft: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 – FY 2023 (USD Billion)
Figure 24.2 Optum: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 – FY 2023 (USD Billion)
Figure 24.3 IBM: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 - FY 2023 (USD Billion)
Figure 24.4 Oracle: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 - FY 2023 (USD Billion)
Figure 24.5 Allscripts: Revenue Generated from Big Data in Healthcare Offerings, FY 2018 - FY 2023 (USD Billion)
