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Market Research Report

Big Data Analytics in Healthcare by Component, by Deployment Type, by Analytics Type, by Application, by Region - Global Market Size, Share, Development, Growth, and Demand Forecast, 2013 - 2023

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Big Data Analytics in Healthcare by Component, by Deployment Type, by Analytics Type, by Application, by Region - Global Market Size, Share, Development, Growth, and Demand Forecast, 2013 - 2023
Published: June 1, 2018 Content info: 174 Pages
Description

The global big data analytics in healthcare market is also gaining interest due to the introduction of personalized healthcare systems and demand for high quality healthcare services. Through the adoption of big data, healthcare payers and providers are enhancing their capabilities by studying patient behavior towards a particular treatment and the diagnostic patterns, in order to provide them with customized and highly cost-effective services.

Based on deployment type, big data analytics in healthcare market is categorized into on-demand and on-premise. Of the two, the on-demand deployment generated larger revenue as compared to the on-premise software deployment. Further, on the basis of hardware, big data analytics in healthcare market is categorized into data storage, routers, firewalls, virtual private network, e-mail servers, and others; others include data centers hardware and on-premise and on-cloud hardware. Among these, data storage accounted for the largest revenue share in the market in 2017.

Geographically, North America has been the largest big data analytics in healthcare market; however, the fastest growth during the forecast period is expected from Asia-Pacific. This can be attributed to factors such as advancement in big data technologies, growing digitalization, expanding data analytics software industry, and increasing adoption of big data analytics services by healthcare providers in the region. Further, due to various initiatives undertaken by the government to integrate big data in the healthcare industry, for making more sophisticated and cheap healthcare services available to people, the market in the region is expected to grow significantly in the coming years.

Factors driving the growth of big data analytics in healthcare market include significant increase in demand for financial analytics in healthcare, surge in demand for exploring structured and unstructured data present in the healthcare industry, decreasing costs and availability of big data software and services, along with amplified adoption of new technologies for data analytics in healthcare business transformations, globally.

While the healthcare industry has been generating huge volumes of data, big data analytics solutions aim to generate valuable insights from such data to improve the quality of healthcare services and reduce the overall cost incurred in the healthcare ecosystem. This is achieved by exploring large sets of structured and unstructured databases, to gain and access trends and patterns present in the current healthcare environment. Financial analytics sealed the largest market share in 2017, as it provides healthcare organizations with greater and better visibility into several factors that drive revenues, reduce operational costs and manage shareholder value. The application uses sophisticated software technology such as specialized billing process and knowledge, to keep a track of various claims processed, and the amount of revenue collected from different segments.

Additionally, the demand for personalized health records through big data is also propelling the growth of big data analytics in healthcare market. The demand for high quality and personalized healthcare services has prompted patients to store their medical information online, which in turn helps doctors to schedule appointments as per the availability at both-ends, organize and keep a track of past diagnosis anytime anywhere, and provide patients with all the necessary information related to a disease or other health issues.

Data analytics providers are partnering with healthcare providers to increase their market share. The major players are also developing new solutions for healthcare data analytics. Some of the key players operating in the big data analytics in healthcare market are McKesson Corporation, Cognizant Technology Solutions Corporation, Epic System Corporation, Cerner Corporation, Dell Inc., GE Healthcare, Siemens AG, Koninklijke Philips N.V., and Xerox Corporation.

Most of the major vendors in the big data analytics in healthcare market are actively focusing on enhancing their offerings to meet the surging demand for advanced healthcare solutions. This includes software development, hardware integration, and big data analytics learning.

Table of Contents

Table of Content

Chapter 1. Research Background

  • 1.1 Research Objectives
  • 1.2 Market Definition
  • 1.3 Research Scope
    • 1.3.1 Market Segmentation by Component
    • 1.3.2 Market Segmentation by Deployment Type
    • 1.3.3 Market Segmentation by Analytics Type
    • 1.3.4 Market Segmentation by Application
    • 1.3.5 Market Segmentation by Geography
    • 1.3.6 Analysis Period
    • 1.3.7 Market Data Reporting Unit
      • 1.3.7.1 Value
  • 1.4 Key Stakeholders

Chapter 2. Research Methodology

  • 2.1 Secondary Research
  • 2.2 Primary Research
    • 2.2.1 Breakdown of Primary Research Respondents
      • 2.2.1.1 By region
      • 2.2.1.2 By industry participant
      • 2.2.1.3 By company type
  • 2.3 Market Size Estimation
  • 2.4 Data Triangulation
  • 2.5 Assumptions for the Study

Chapter 3. Executive Summary

Chapter 4. Introduction

  • 4.1 Definition of Market Segments
    • 4.1.1 By Component
      • 4.1.1.1 Services
      • 4.1.1.2 Software
        • 4.1.1.2.1 Electronic health record (EHR)
        • 4.1.1.2.2 Workforce management
        • 4.1.1.2.3 Practice management
      • 4.1.1.3 Hardware
        • 4.1.1.3.1 Data Storage
        • 4.1.1.3.2 Routers
        • 4.1.1.3.3 Firewall
        • 4.1.1.3.4 Virtual private network (VPN)
        • 4.1.1.3.5 Email servers
        • 4.1.1.3.6 Others
    • 4.1.2 By Deployment Type
      • 4.1.2.1 On-premise
      • 4.1.2.2 On demand
    • 4.1.3 By Analytics Type
      • 4.1.3.1 Descriptive analytics
      • 4.1.3.2 Predictive analytics
      • 4.1.3.3 Prescriptive analytics
    • 4.1.4 By Application
      • 4.1.4.1 Financial analytics
        • 4.1.4.1.1 Claim processing
        • 4.1.4.1.2 Revenue cycle management
        • 4.1.4.1.3 Risk adjustment and assessment
        • 4.1.4.1.4 Payment integrity and fraud, waste and abuse
      • 4.1.4.2 Operational analytics
      • 4.1.4.3 Population health analytics
      • 4.1.4.4 Clinical data analytics
        • 4.1.4.4.1 Quality control
        • 4.1.4.4.2 Population health management
        • 4.1.4.4.3 Clinical decision support
        • 4.1.4.4.4 Reporting and compliance
        • 4.1.4.4.5 Precision health
  • 4.2 Market Dynamics
    • 4.2.1 Trends
      • 4.2.1.1 Big data improves clinical studies, population and inventory management
    • 4.2.2 Drivers
      • 4.2.2.1 Increase in demand for financial analytics in healthcare sector
      • 4.2.2.2 Surge in demand for structured and unstructured dataset analysis
      • 4.2.2.3 Government initiative for adoption of EHR
      • 4.2.2.4 Impact analysis of drivers on market forecast
    • 4.2.3 Restraints
      • 4.2.3.1 Lack of skilled staff hindering the implementation of big data in healthcare sector
      • 4.2.3.2 Lack of trust in technology and security concerns
      • 4.2.3.3 Adoption of different analytical tools will affect data interoperability
      • 4.2.3.4 Impact analysis of restraints on market forecast
    • 4.2.4 Opportunities
      • 4.2.4.1 IoT in healthcare sector would ensure real time mobility of information
      • 4.2.4.2 Adoption of value-based patient centric care model
  • 4.3 Porter's Five Forces Analysis

Chapter 5. Global Market Size and Forecast

  • 5.1 By Component
    • 5.1.1 Software by Type
    • 5.1.2 Hardware by Type
  • 5.2 By Analytics Type
  • 5.3 By Deployment Type
  • 5.4 By Application
    • 5.4.1 Financial analytics by type
    • 5.4.2 Clinical data analytics by type
  • 5.5 By Region

Chapter 6. North America Market Size and Forecast

  • 6.1 By Component
    • 6.1.1 Software by Type
    • 6.1.2 Hardware by Type
  • 6.2 By Analytics Type
  • 6.3 By Deployment Type
  • 6.4 By Application
    • 6.4.1 Financial analytics by type
    • 6.4.2 Clinical data analytics by type
  • 6.5 By Country

Chapter 7. Europe Market Size and Forecast

  • 7.1 By Component
    • 7.1.1 Software by Type
    • 7.1.2 Hardware by Type
  • 7.2 By Analytics Type
  • 7.3 By Deployment Type
  • 7.4 By Application
    • 7.4.1 Financial analytics by type
    • 7.4.2 Clinical data analytics by type
  • 7.5 By Country

Chapter 8. APAC Market Size and Forecast

  • 8.1 By Component
    • 8.1.1 Software by Type
    • 8.1.2 Hardware by Type
  • 8.2 By Analytics Type
  • 8.3 By Deployment Type
  • 8.4 By Application
    • 8.4.1 Financial analytics by type
    • 8.4.2 Clinical data analytics by type
  • 8.5 By Country

Chapter 9. RoW Market Size and Forecast

  • 9.1 By Component
    • 9.1.1 Software by Type
    • 9.1.2 Hardware by Type
  • 9.2 By Analytics Type
  • 9.3 By Deployment Type
  • 9.4 By Application
    • 9.4.1 Financial analytics by type
    • 9.4.2 Clinical data analytics by type
  • 9.5 By Country

Chapter 10. Competitive Landscape

  • 10.1 Competitive Benchmarking of Key Players
  • 10.2 Recent Activities of Key Players
  • 10.3 Global Strategic Developments of Key Players
    • 10.3.1 Mergers and Acquisitions
    • 10.3.2 Product and Service Launches
    • 10.3.3 Partnerships
    • 10.3.4 Client Wins

Chapter 11. Company Profiles

  • 11.1 McKesson Corporation
    • 11.1.1 Business Overview
    • 11.1.2 Product and Service Offerings
    • 11.1.3 Key Financial Summary
  • 11.2 Cerner Corporation
    • 11.2.1 Business Overview
    • 11.2.2 Product and Service Offerings
    • 11.2.3 Key Financial Summary
  • 11.3 Allscripts Healthcare Solutions, Inc.
    • 11.3.1 Business Overview
    • 11.3.2 Products and Service Offerings
    • 11.3.3 Key Financial Summary
  • 11.4 Epic Systems Corporation
    • 11.4.1 Business Overview
    • 11.4.2 Products and Service Offerings
  • 11.5 Koninklijke Philips N.V.
    • 11.5.1 Business Overview
    • 11.5.2 Products and Service Offerings
    • 11.5.3 Key Financial Summary
  • 11.6 Cognizant Technology Solutions Corporation
    • 11.6.1 Business Overview
    • 11.6.2 Product and Service Offerings
    • 11.6.3 Key Financial Summary
  • 11.7 Optum, Inc.
    • 11.7.1 Business Overview
    • 11.7.2 Products and Service Offerings
  • 11.8 Wipro Limited
    • 11.8.1 Business Overview
    • 11.8.2 Product and Service Offerings
    • 11.8.3 Key Financial Summary
  • 11.9 Siemens AG
    • 11.9.1 Business Overview
    • 11.9.2 Product and Service Offerings
    • 11.9.3 Key Financial Summary
  • 11.10 International Business Machines Corporation (IBM)
    • 11.10.1 Business Overview
    • 11.10.2 Product and Service Offerings
    • 11.10.3 Key Financial Summary

Chapter 12. Appendix

  • 12.1 Abbreviations
  • 12.2 Sources and References
  • 12.3 Related Reports

List of Tables

  • TABLE 1 ANALYSIS PERIOD OF THE STUDY
  • TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 4 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2017)
  • TABLE 5 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2018-2023)
  • TABLE 6 GLOBAL SOFTWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 7 GLOBAL SOFTWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 8 GLOBAL HARDWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 9 GLOBAL HARDWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 10 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2017)
  • TABLE 11 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2018-2023)
  • TABLE 12 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2017)
  • TABLE 13 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2018-2023)
  • TABLE 14 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2017)
  • TABLE 15 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2018-2023)
  • TABLE 16 GLOBAL FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 17 GLOBAL FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 18 GLOBAL CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 19 GLOBAL CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 20 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY REGION, $M (2013-2017)
  • TABLE 21 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY REGION, $M (2018-2023)
  • TABLE 22 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2017)
  • TABLE 23 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2018-2023)
  • TABLE 24 NORTH AMERICA SOFTWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 25 NORTH AMERICA SOFTWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 26 NORTH AMERICA HARDWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 27 NORTH AMERICA HARDWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 28 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2017)
  • TABLE 29 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2018-2023)
  • TABLE 30 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2017)
  • TABLE 31 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2018-2023)
  • TABLE 32 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2017)
  • TABLE 33 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2018-2023)
  • TABLE 34 NORTH AMERICA FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 35 NORTH AMERICA FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 36 NORTH AMERICA CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 37 NORTH AMERICA CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 38 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2017)
  • TABLE 39 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2018-2023)
  • TABLE 40 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2017)
  • TABLE 41 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2018-2023)
  • TABLE 42 EUROPE SOFTWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 43 EUROPE SOFTWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 44 EUROPE HARDWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 45 EUROPE HARDWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 46 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2017)
  • TABLE 47 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2018-2023)
  • TABLE 48 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2017)
  • TABLE 49 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2018-2023)
  • TABLE 50 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2017)
  • TABLE 51 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2018- 2023)
  • TABLE 52 EUROPE FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 53 EUROPE FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 54 EUROPE CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 55 EUROPE CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 56 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2017)
  • TABLE 57 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2018-2023)
  • TABLE 58 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2017)
  • TABLE 59 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2018-2023)
  • TABLE 60 APAC SOFTWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 61 APAC SOFTWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 62 APAC HARDWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 63 APAC HARDWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 64 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2017)
  • TABLE 65 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2018-2023)
  • TABLE 66 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2017)
  • TABLE 67 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2018-2023)
  • TABLE 68 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2017)
  • TABLE 69 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2018-2023)
  • TABLE 70 APAC FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 71 APAC FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 72 APAC CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 73 APAC CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 74 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2017)
  • TABLE 75 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2018-2023)
  • TABLE 76 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2017)
  • TABLE 77 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2018-2023)
  • TABLE 78 ROW SOFTWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 79 ROW SOFTWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 80 ROW HARDWARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 81 ROW HARDWARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 82 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2017)
  • TABLE 83 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2018-2023)
  • TABLE 84 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2017)
  • TABLE 85 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2018-2023)
  • TABLE 86 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2017)
  • TABLE 87 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2018-2023)
  • TABLE 88 ROW FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2017)
  • TABLE 89 ROW FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2018-2023)
  • TABLE 90 ROW CLINICAL DATA ANALYTICS IN HEALTHCARE MARKET, BY TYPE, $M (2013-2017)
  • TABLE 91 ROW CLINICAL DATA ANALYTICS IN HEALTHCARE MARKET, BY TYPE, $M (2018-2023)
  • TABLE 92 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2017)
  • TABLE 93 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2018-2023)
  • TABLE 94 MCKESSON CORPORATION - AT A GLANCE
  • TABLE 95 MCKESSON CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 96 CERNER CORPORATION - AT A GLANCE
  • TABLE 97 CERNER CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 98 ALLSCRIPTS HEALTHCARE SOLUTIONS, INC.- AT A GLANCE
  • TABLE 99 ALLSCRIPTS HEALTHCARE SOLUTIONS, INC. - KEY FINANCIAL SUMMARY
  • TABLE 100 EPIC SYSTEMS CORPORATION - AT A GLANCE
  • TABLE 101 KONINKLIJKE PHILIPS N.V.- AT A GLANCE
  • TABLE 102 KONINKLIJKE PHILIPS N.V.- KEY FINANCIAL SUMMARY
  • TABLE 103 COGNIZANT TECHNOLOGY SOLUTIONS CORPORATION - AT A GLANCE
  • TABLE 104 COGNIZANT TECHNOLOGY SOLUTIONS CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 105 OPTUM, INC.- AT A GLANCE
  • TABLE 106 WIPRO LIMITED - AT A GLANCE
  • TABLE 107 WIPRO LIMITED - KEY FINANCIAL SUMMARY
  • TABLE 108 SIEMENS AG - AT A GLANCE
  • TABLE 109 SIEMENS AG - KEY FINANCIAL SUMMARY
  • TABLE 110 IBM CORPORATION - AT A GLANCE
  • TABLE 111 IBM CORPORATION - KEY FINANCIAL SUMMARY

LIST OF FIGURES

  • FIG 1 RESEARCH SCOPE
  • FIG 2 RESEARCH METHODOLOGY
  • FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
  • FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
  • FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
  • FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
  • FIG 7 DATA TRIANGULATION APPROACH
  • FIG 8 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET SUMMARY
  • FIG 9 BIG DATA ANALYTICS IN HEALTHCARE PARTICIPANTS/COMPONENTS
  • FIG 10 BARGAINING POWER OF BUYERS
  • FIG 11 BARGAINING POWER OF SUPPLIERS
  • FIG 12 INTENSITY OF RIVALRY
  • FIG 13 THREAT OF NEW ENTRANTS
  • FIG 14 THREAT OF SUBSTITUTES
  • FIG 15 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2023)
  • FIG 16 GLOBAL SOFTWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 17 GLOBAL HARDWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 18 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2023)
  • FIG 19 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2023)
  • FIG 20 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2023)
  • FIG 21 GLOBAL FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 22 GLOBAL CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 23 WORLDWIDE MAJOR MARKETS FOR BIG DATA ANALYTICS IN HEALTHCARE
  • FIG 24 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET SNAPSHOT
  • FIG 25 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2023)
  • FIG 26 NORTH AMERICA SOFTWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 27 NORTH AMERICA HARDWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 28 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2023)
  • FIG 29 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2023)
  • FIG 30 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2023)
  • FIG 31 NORTH AMERICA FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 32 NORTH AMERICA CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 33 NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2023)
  • FIG 34 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET SNAPSHOT
  • FIG 35 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2023)
  • FIG 36 EUROPE SOFTWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 37 EUROPE HARDWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 38 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2023)
  • FIG 39 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2023)
  • FIG 40 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2023)
  • FIG 41 EUROPE FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 42 EUROPE CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 43 EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2023)
  • FIG 44 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET SNAPSHOT
  • FIG 45 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2023)
  • FIG 46 APAC SOFTWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 47 APAC HARDWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 48 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2023)
  • FIG 49 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2023)
  • FIG 50 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2023)
  • FIG 51 APAC FINANCIAL ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 52 APAC CLINICAL DATA ANALYTICS MARKET, BY TYPE, $M (2013-2023)
  • FIG 53 APAC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2023)
  • FIG 54 ROW BIG DATA ANALYTICS IN HEATHCARE MARKET SNAPSHOT
  • FIG 55 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, $M (2013-2023)
  • FIG 56 ROW SOFTWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 57 ROW HARDWARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 58 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, $M (2013-2023)
  • FIG 59 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT TYPE, $M (2013-2023)
  • FIG 60 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, $M (2013-2023)
  • FIG 61 ROW FINANCIAL ANALYTICS IN HEALTHCARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 62 ROW CLINICAL DATA ANALYTICS IN HEALTHCARE MARKET, BY TYPE, $M (2013-2023)
  • FIG 63 ROW BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, $M (2013-2023)
  • FIG 64 RECENT ACTIVITIES OF KEY PLAYERS IN GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET (2017)
  • FIG 65 MCKESSON CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 66 CERNER CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 67 ALLSCRIPTS HEALTHCARE SOLUTIONS, INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 68 KONINKLIJKE PHILIPS N.V.- REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2017)
  • FIG 69 COGNIZANT TECHNOLOGY SOLUTIONS CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2017)
  • FIG 70 WIPRO LIMITED - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 71 SIEMENS AG - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2017)
  • FIG 72 IBM CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2017)
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