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Market Research Report

Asia Pacific Big Data Analytics in Healthcare Market Forecast 2019-2027

Published by Inkwood Research Product code 854718
Published Content info 82 Pages
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Asia Pacific Big Data Analytics in Healthcare Market Forecast 2019-2027
Published: June 2, 2019 Content info: 82 Pages
Description

KEY FINDINGS

The global big data analytics in the healthcare market by the Asia Pacific is estimated to grow with 19.73% CAGR during the year 2019-2027. The market will grow to $XX million by 2027. The base year considered for the study is 2018, and the estimated period is between 2019 and 2027.

MARKET INSIGHTS

The economies of China, India, Japan, South Korea, Australia and the Rest of APAC are the top revenue contributor to the APAC market. In 2018, the majority of market share was captured by China in the big data analytics in the healthcare market by the Asia Pacific. China contributed XX% of the Asian market in 2018 & is estimated to contribute a share of XX% in 2027. On the other hand, India is anticipated to be the fastest growing country in the market with a CAGR of XX% during the forecast period 2019-2027.

COMPETITIVE INSIGHTS

The major companies functioning in the market are SAP, IBM Corporation, McKesson Corporation, Dell, Allscripts Healthcare Solutions, Inc., SAS, GE Healthcare, Oracle Corporation, Cognizant Technology Solutions Corporation, Philips Healthcare, Premier, Inc., Cerner Corporation, eClinicalWorks, Aetna, Inc., Health Catalyst, Epic Systems, Xerox, Tableau Software, Inc., Siemens Healthineers, and Computer Programs and Systems.

Table of Contents
Product Code: 25258

Table of Contents

1. RESEARCH SCOPE

  • 1.1. STUDY GOALS
  • 1.2. SCOPE OF THE MARKET STUDY
  • 1.3. WHO WILL FIND THIS REPORT USEFUL?
  • 1.4. STUDY AND FORECASTING YEARS

2. RESEARCH METHODOLOGY

  • 2.1. SOURCES OF DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
  • 2.2. TOP-DOWN APPROACH
  • 2.3. BOTTOM-UP APPROACH
  • 2.4. DATA TRIANGULATION

3. EXECUTIVE SUMMARY

  • 3.1. MARKET SUMMARY
  • 3.2. KEY FINDINGS
    • 3.2.1. BLOCKCHAIN DEVELOPMENTS WILL CONSOLIDATE THE MARKET
    • 3.2.2. BIG DATA ANALYTICS REDUCES HEALTHCARE COSTS

4. MARKET DYNAMICS

  • 4.1. HISTORY OF BIG DATA ANALYTICS IN HEALTHCARE
  • 4.2. MARKET SCOPE & DEFINITION
  • 4.3. MARKET DRIVERS
    • 4.3.1. GROWING ADOPTION OF IOT ENABLED HEALTH WEARABLES
    • 4.3.2. GROWTH IN THE ADOPTION OF CLOUD ANALYTICS
    • 4.3.3. GOVERNMENT REGULATIONS PROMOTING BIG DATA
    • 4.3.4. TECHNOLOGICAL ADVANCEMENT
  • 4.4. MARKET RESTRAINTS
    • 4.4.1. LACK OF INTEROPERABILITY AMONG BIG DATA SOURCE
    • 4.4.2. DEALING WITH LARGE VOLUME OF UNSTRUCTURED DATA
  • 4.5. MARKET OPPORTUNITIES
    • 4.5.1. OPPORTUNITIES FROM PRECISION MEDICINE
    • 4.5.2. TELEHEALTH AND INNOVATIONS IN GENOMICS
  • 4.6. MARKET CHALLENGES
    • 4.6.1. PRIVACY CONCERNS
    • 4.6.2. LACK OF SKILLED LABOUR

5. MARKET BY COMPONENT

  • 5.1. SOFTWARE
  • 5.2. SERVICES

6. MARKET BY DEPLOYMENT

  • 6.1. ON-PREMISE
  • 6.2. CLOUD

7. MARKET BY ANALYTICS TYPE

  • 7.1. DESCRIPTIVE ANALYTICS
  • 7.2. PREDICTIVE ANALYTICS
  • 7.3. PRESCRIPTIVE ANALYTICS
  • 7.4. DIAGNOSTIC ANALYTICS

8. MARKET BY APPLICATION

  • 8.1. CLINICAL ANALYTICS
  • 8.2. FINANCIAL ANALYTICS
  • 8.3. OPERATIONAL ANALYTICS

9. MARKET BY END-USER

  • 9.1. HOSPITALS & CLINICS
  • 9.2. FINANCE & INSURANCE AGENCIES
  • 9.3. RESEARCH ORGANISATIONS

10. KEY ANALYTICS

  • 10.1. PORTER'S FIVE FORCE MODEL
    • 10.1.1. THREAT OF NEW ENTRANTS
    • 10.1.2. THREAT OF SUBSTITUTE
    • 10.1.3. BARGAINING POWER OF SUPPLIERS
    • 10.1.4. BARGAINING POWER OF BUYERS
    • 10.1.5. INTENSITY OF COMPETITIVE RIVALRY
  • 10.2. OPPORTUNITY MATRIX
  • 10.3. VENDOR LANDSCAPE

11. GEOGRAPHICAL ANALYSIS

  • 11.1. ASIA PACIFIC
    • 11.1.1. CHINA
    • 11.1.2. INDIA
    • 11.1.3. SOUTH KOREA
    • 11.1.4. JAPAN
    • 11.1.5. AUSTRALIA
    • 11.1.6. REST OF ASIA PACIFIC

12. COMPANY PROFILES

  • 12.1. AETNA, INC.
  • 12.2. ALLSCRIPTS HEALTHCARE SOLUTIONS, INC.
  • 12.3. CERNER CORPORATION
  • 12.4. COGNIZATION TECHNOLOGY SOLUTIONS CORPORATION
  • 12.5. COMPUTER PROGRAMS AND SYSTEMS
  • 12.6. DELL
  • 12.7. EPIC SYSTEMS
  • 12.8. E-CLINICALWORKS
  • 12.9. GE HEALTHCARE
  • 12.10. HEALTH CATALYST
  • 12.11. IBM CORPORATION
  • 12.12. MCKESSON CORPORATION
  • 12.13. ORACLE CORPORATION
  • 12.14. PHILIPS HEALTHCARE
  • 12.15. PREMIER, INC.
  • 12.16. SAP
  • 12.17. SAS
  • 12.18. SIEMENS HEALTHINEER
  • 12.19. TABLEAU SOFTWARE, INC
  • 12.20. XEROX

LIST OF TABLES

  • TABLE 1: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
  • TABLE 2: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2019-2027, (IN $ MILLION)
  • TABLE 3: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2027, (IN $ MILLION)
  • TABLE 4: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2027, (IN $ MILLION)
  • TABLE 5: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2027, (IN $ MILLION)
  • TABLE 6: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2027, (IN $ MILLION)
  • TABLE 7: OPPORTUNITY MATRIX
  • TABLE 8: VENDOR LANDSCAPE
  • TABLE 9: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)

LIST OF FIGURES

  • FIGURE 1: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2018 & 2027 (IN %)
  • FIGURE 2: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SOFTWARE, 2019-2027 (IN $ MILLION)
  • FIGURE 3: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SERVICES, 2019-2027 (IN $ MILLION)
  • FIGURE 4: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ON-PREMISE, 2019-2027 (IN $ MILLION)
  • FIGURE 5: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)
  • FIGURE 6: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DESCRIPTIVE ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 7: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY PREDICTIVE ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 8: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY PRESCRIPTIVE ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 9: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DIAGNOSTIC ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 10: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY CLINICAL ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 11: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY FINANCIAL ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 12: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OPERATIONAL ANALYTICS, 2019-2027 (IN $ MILLION)
  • FIGURE 13: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY HOSPITALS & CLINICS, 2019-2027 (IN $ MILLION)
  • FIGURE 14: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY FINANCE & INSURANCE AGENCIES, 2019-2027 (IN $ MILLION)
  • FIGURE 15: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY RESEARCH ORGANISATIONS, 2019-2027 (IN $ MILLION)
  • FIGURE 16: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 17: ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 18: CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 19: INDIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 20: SOUTH KOREA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 21: JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 22: AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2027 (IN $ MILLION)
  • FIGURE 23: REST OF ASIA PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2027 (IN $ MILLION)
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