Market By Offering, Deployment, Analytics Type, End-user, Application And Geography | Forecast 2019-2028
After a detailed analysis, Triton Market Research has concluded that Big Data analytics in healthcare market is expected to display an upward trend in terms of revenue. In addition, it is estimated to grow at a CAGR of 23.35% during the forecasting years 2019 to 2028. The market that accounted for $22.43 billion in 2019, is expected to reach $148.34 billion by 2028.
Big Data analytics is the mining of vast volumes of data as well as the study of hidden trends, associations and other insights to be discovered. Big Data analytics in healthcare is the application of Big Data technologies and methods to make the healthcare sector more effective, including clinical analytics, financial analytics and operational analytics. The choice of software preferred by agencies depends on the software’s accessibility, data protection and ease of use.
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There are several software systems widely used by providers of medical services and healthcare facilities, including applications for Medical Practice Management (MPM), Electronic Health Record System and Revenue Cycle Management Systems. This software allows users to capture patient information, and can be used to schedule appointments, perform billing tasks and process claims, among others, for various administrative and financial tasks.
The Big Data analytics in healthcare market report from Triton Market Research gives a detailed analysis of market definition, Big Data analytics architecture, key insights, evolution & transition, Porter’s five force analysis, market attractiveness index, vendor scorecard, regulatory framework and strategies for implementing Big Data analytics in healthcare.
With a multitude of sensors and real-time tracking devices at the fingertips of consumers, patient behaviors and key patient information have become much easier to trace. Mobile technology has also become one of the leading Big Data contributors. The proliferation of smartphone-containing apps, coupled with the expansion of the market for wearable devices, creates data flows that can be harnessed for medical applications.
Consumer wearables, previously popular for step counting & heart rate monitoring, are starting to serve as data sources for medical diagnostics and are expected to play a key role in remote patient monitoring. Wearables can help with self-diagnosis and behavioral change interventions by enabling patients to share personalized health data. These digital devices generate a lot of data, which forms a major driver for the Big Data analytics in healthcare market.
The key opportunity for the market is from precision medicine. Healthcare providers can make the use of Big Data analytics to personalize treatments and diagnoses based on numerous factors and find a cure for the diseases. Precision medicine can be a powerful force to improving the understanding of diseases and use analytics for better healthcare outcomes.Â
The problem of interoperability and dealing with unstructured data are major restraints that impact the market negatively. Interoperability and data sharing for Big Data is important for getting insights for clinical decision making. Medical data currently, lacks interoperability due to the isolated databases, incompatible systems and proprietary software. Also, these datasets are difficult to exchange, analyze and interpret.
Geographies covered for the global Big Data analytics in healthcare market:
•          North America: United States and Canada
•          Europe: United Kingdom, Germany, France, Italy, Spain, Russia and Rest of Europe
•          The Asia-Pacific: China, Japan, India, South Korea, ASEAN countries, Australia & New Zealand and Rest of Asia-Pacific
•          Latin America: Brazil, Mexico and Rest of Latin America
•          The Middle East and Africa: United Arab Emirates, Turkey, Saudi Arabia, South Africa and Rest of Middle East & Africa
The Big Data analytics in healthcare market, in this report, is segmented as:
•          Offering is sub-segmented into:
o         Software
o         Services
•          Deployment is sub-segmented into:
o         On-premise
o         Cloud
•          Analytics Type is sub-segmented into:
o         Descriptive Analytics
o         Predictive Analytics
o         Prescriptive Analytics
o         Diagnostic Analytics
•          End-user is sub-segmented into:
o         Hospitals & Clinics
o         Finance & Insurance agencies
o         Research organization
•          Application is sub-segmented into:
o         Clinical Analytics
o         Financial Analytics
o         Operational Analytics
Major key players engaged in the Big Data analytics in healthcare market are McKesson Corporation, Siemens Healthcare Private Limited, Allscripts Healthcare LLC, Oracle, Cognizant, International Business Machines Corporation, Dell Technologies Inc, General Electric Company, Health Catalyst, SAP SE, Premier, Aetna Inc, Cerner Corporation, CPSI (Computer Programs And Systems Inc), Epic Systems Corporation, Sas Institute Inc, Philips NV, eClinicalworks and Tableau Software LLC. The strategic analysis for each of these companies in Big Data analytics in healthcare market is covered in detail.
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VIEW REPORT1. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET - SUMMARY
2. INDUSTRY OUTLOOK
2.1. MARKET DEFINITION
2.2. BIG DATA ANALYTICS IN HEALTHCARE ARCHITECTURE
2.2.1. DATA LAYER
2.2.2. DATA AGGREGATION LAYER
2.2.3. ANALYTICS LAYER
2.2.4. INFORMATION EXPLORATION LAYER
2.2.5. DATA GOVERNANCE LAYER
2.3. TYPES OF BIG DATA ANALYTICS SOFTWARE
2.3.1. ELECTRONIC HEALTHCARE RECORD (EHR)
2.3.2. PRACTICE MANAGEMENT SOFTWARE
2.3.3. REVENUE CYCLE MANAGEMENT SOFTWARE
2.3.4. WORKFORCE MANAGEMENT SOFTWARE
2.4. KEY INSIGHTS
2.4.1. BIG DATA ANALYTICS SOLUTIONS BEING USED BY VARIOUS COUNTRIES TO SOLVE COVID-19 CRISIS
2.4.2. BIG DATA ANALYTICS REDUCES HEALTHCARE COSTS
2.4.3. BLOCKCHAIN CAN HELP SOLVE INTEROPERABILITY CHALLENGE AND ENHANCE DATA SECURITY
2.5. EVOLUTION & TRANSITION OF BIG DATA ANALYTICS IN HEALTHCARE
2.6. PORTER’S FIVE FORCE ANALYSIS
2.6.1. THREAT OF NEW ENTRANTS
2.6.2. THREAT OF SUBSTITUTE
2.6.3. BARGAINING POWER OF SUPPLIERS
2.6.4. BARGAINING POWER OF BUYERS
2.6.5. THREAT OF COMPETITIVE RIVALRY
2.7. MARKET ATTRACTIVENESS INDEX
2.8. VENDOR SCORECARD
2.9. REGULATORY FRAMEWORK
2.10. STRATEGIES FOR IMPLEMENTING BIG DATA ANALYTICS IN HEALTHCARE
2.11. TOP 50 BIG DATA STARTUP IN HEALTHCARE
2.12. MARKET DRIVERS
2.12.1. GROWTH IN HEALTH WEARABLES
2.12.2. GROWTH IN THE ADOPTION OF CLOUD ANALYTICS
2.12.3. GOVERNMENT REGULATIONS PROMOTING BIG DATA
2.12.4. TECHNOLOGICAL ADVANCEMENT
2.13. MARKET RESTRAINTS
2.13.1. LACK OF INTEROPERABILITY AMONG BIG DATA SOURCES
2.13.2. DEALING WITH LARGE VOLUME OF UNSTRUCTURED DATA
2.14. MARKET OPPORTUNITIES
2.14.1. OPPORTUNITIES FROM PRECISION MEDICINE
2.14.2. TELEHEALTH AND INNOVATIONS IN GENOMICS
2.15. MARKET CHALLENGES
2.15.1. PRIVACY CONCERNS
2.15.2. LACK OF SKILLED LABOUR
3. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET OUTLOOK – BY OFFERING
3.1. SOFTWARE
3.2. SERVICES
4. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET OUTLOOK - BY DEPLOYMENT
4.1. ON-PREMISE
4.2. CLOUD
5. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET OUTLOOK - BY ANALYTICS TYPE
5.1. DESCRIPTIVE ANALYTICS
5.2. PREDICTIVE ANALYTICS
5.3. PRESCRIPTIVE ANALYTICS
5.4. DIAGNOSTIC ANALYTICS
6. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET OUTLOOK - BY END-USER
6.1. HOSPITALS & CLINICS
6.2. FINANCE & RESEARCH AGENCIES
6.3. RESEARCH ORGANISATIONS
7. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET OUTLOOK - BY APPLICATION
7.1. CLINICAL ANALYTICS
7.2. FINANCIAL ANALYTICS
7.3. OPERATIONAL ANALYTICS
8. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET – REGIONAL OUTLOOK
8.1. NORTH AMERICA
8.1.1. MARKET BY OFFERING
8.1.2. MARKET BY DEPLOYMENT
8.1.3. MARKET BY ANALYTICS TYPE
8.1.4. MARKET BY END-USER
8.1.5. MARKET BY APPLICATION
8.1.6. COUNTRY ANALYSIS
8.1.6.1. UNITED STATES
8.1.6.2. CANADA
8.2. EUROPE
8.2.1. MARKET BY OFFERING
8.2.2. MARKET BY DEPLOYMENT
8.2.3. MARKET BY ANALYTICS TYPE
8.2.4. MARKET BY END-USER
8.2.5. MARKET BY APPLICATION
8.2.6. COUNTRY ANALYSIS
8.2.6.1. UNITED KINGDOM
8.2.6.2. GERMANY
8.2.6.3. FRANCE
8.2.6.4. SPAIN
8.2.6.5. ITALY
8.2.6.6. RUSSIA
8.2.6.7. REST OF EUROPE
8.3. ASIA-PACIFIC
8.3.1. MARKET BY OFFERING
8.3.2. MARKET BY DEPLOYMENT
8.3.3. MARKET BY ANALYTICS TYPE
8.3.4. MARKET BY END-USER
8.3.5. MARKET BY APPLICATION
8.3.6. COUNTRY ANALYSIS
8.3.6.1. CHINA
8.3.6.2. JAPAN
8.3.6.3. INDIA
8.3.6.4. SOUTH KOREA
8.3.6.5. ASEAN COUNTRIES
8.3.6.6. AUSTRALIA & NEW ZEALAND
8.3.6.7. REST OF ASIA-PACIFIC
8.4. LATIN AMERICA
8.4.1. MARKET BY OFFERING
8.4.2. MARKET BY DEPLOYMENT
8.4.3. MARKET BY ANALYTICS TYPE
8.4.4. MARKET BY END-USER
8.4.5. MARKET BY APPLICATION
8.4.6. COUNTRY ANALYSIS
8.4.6.1. BRAZIL
8.4.6.2. MEXICO
8.4.6.3. REST OF LATIN AMERICA
8.5. MIDDLE EAST AND AFRICA
8.5.1. MARKET BY OFFERING
8.5.2. MARKET BY DEPLOYMENT
8.5.3. MARKET BY ANALYTICS TYPE
8.5.4. MARKET BY END-USER
8.5.5. MARKET BY APPLICATION
8.5.6. COUNTRY ANALYSIS
8.5.6.1. UNITED ARAB EMIRATES
8.5.6.2. TURKEY
8.5.6.3. SAUDI ARABIA
8.5.6.4. SOUTH AFRICA
8.5.6.5. REST OF MIDDLE EAST & AFRICA
9. COMPETITIVE LANDSCAPE
9.1. AETNA INC
9.2. ALLSCRIPTS HEALTHCARE LLC
9.3. CERNER CORPORATION
9.4. COGNIZANT
9.5. CPSI (COMPUTER PROGRAMS AND SYSTEMS INC)
9.6. DELL TECHNOLOGIES INC
9.7. EPIC SYSTEMS CORPORATION
9.8. E-CLINICALWORKS
9.9. GENERAL ELECTRIC COMPANY Â
9.10. HEALTH CATALYST
9.11. INTERNATIONAL BUSINESS MACHINES CORPORATION
9.12. MCKESSON CORPORATION
9.13. ORACLE Â
9.14. PHILIPS NV
9.15. PREMIER Â
9.16. SAP SE
9.17. SAS INSTITUTE INC
9.18. SIEMENS HEALTHCARE PRIVATE LIMITED
9.19. TABLEAU SOFTWARE LLC
10. METHODOLOGY & SCOPE
10.1. RESEARCH SCOPE
10.2. SOURCES OF DATA
10.3. RESEARCH METHODOLOGY
TABLE 1: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY GEOGRAPHY, 2019-2028 (IN $ MILLION)
TABLE 2: GENERAL VS MEDICAL INFLATION IN 2018 & 2019
TABLE 3: MARKET ATTRACTIVENESS INDEX
TABLE 4: VENDOR SCORECARD
TABLE 5: REGULATORY FRAMEWORK
TABLE 6: TOP 50 BIG DATA STARTUPS IN HEALTHCARE
TABLE 7: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OFFERING, 2019-2028 (IN $ MILLION)
TABLE 8: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 9: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2028 (IN $ MILLION)
TABLE 10: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 11: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2028 (IN $ MILLION)
TABLE 12: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY GEOGRAPHY, 2019-2028 (IN $ MILLION)
TABLE 13: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
TABLE 14: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OFFERING, 2019-2028 (IN $ MILLION)
TABLE 15: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 16: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2028 (IN $ MILLION)
TABLE 17: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 18: NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2028 (IN $ MILLION)
TABLE 19: EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
TABLE 20: EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OFFERING, 2019-2028 (IN $ MILLION)
TABLE 21: EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 22: EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2028 (IN $ MILLION)
TABLE 23: EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 24: EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2028 (IN $ MILLION)
TABLE 25: ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
TABLE 26: ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OFFERING, 2019-2028 (IN $ MILLION)
TABLE 27: ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 28: ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2028 (IN $ MILLION)
TABLE 29: ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 30: ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2028 (IN $ MILLION)
TABLE 31: LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
TABLE 32: LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OFFERING, 2019-2028 (IN $ MILLION)
TABLE 33: LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 34: LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2028 (IN $ MILLION)
TABLE 35: LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 36: LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2028 (IN $ MILLION)
TABLE 37: MIDDLE EAST AND AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
TABLE 38: MIDDLE EAST AND AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OFFERING, 2019-2028 (IN $ MILLION)
TABLE 39: MIDDLE EAST AND AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 40: MIDDLE EAST AND AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2019-2028 (IN $ MILLION)
TABLE 41: MIDDLE EAST AND AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 42: MIDDLE EAST AND AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2019-2028 (IN $ MILLION)
FIGURE 1: BIG DATA ANALYTICS IN HEALTHCARE ARCHITECTURE
FIGURE 2: PORTER’S FIVE FORCE ANALYSIS
FIGURE 3: NUMBER OF PUBLICATIONS RELATED TO BIG DATA IN HEALTHCARE (2000-2018)
FIGURE 4: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SOFTWARE, 2019-2028 (IN $ MILLION)
FIGURE 5: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SERVICES, 2019-2028 (IN $ MILLION)
FIGURE 6: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ON-PREMISE, 2019-2028 (IN $ MILLION)
FIGURE 7: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY CLOUD, 2019-2028 (IN $ MILLION)
FIGURE 8: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DESCRIPTIVE ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 9: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY PREDICTIVE ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 10: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY PRESCRIPTIVE ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 11: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DIAGNOSTIC ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 12: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY HOSPITALS & CLINICS, 2019-2028 (IN $ MILLION)
FIGURE 13: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY FINANCE & RESEARCH AGENCIES, 2019-2028 (IN $ MILLION)
FIGURE 14: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY RESEARCH ORGANISATIONS, 2019-2028 (IN $ MILLION)
FIGURE 15: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY CLINICAL ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 16: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY FINANCIAL ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 17: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY OPERATIONAL ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 18: GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
FIGURE 19: UNITED STATES BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 20: CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 21: UNITED KINGDOM BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 22: GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 23: FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 24: SPAIN BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 25: ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 26: RUSSIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 27: REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 28: CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 29: JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 30: INDIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 31: SOUTH KOREA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 32: ASEAN COUNTRIES BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 33: AUSTRALIA & NEW ZEALAND BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 34: REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 35: BRAZIL BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 36: MEXICO BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 37: REST OF LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 38: UNITED ARAB EMIRATES BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 39: TURKEY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 40: SAUDI ARABIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 41: SOUTH AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 42: REST OF MIDDLE EAST & AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2019-2028 (IN $ MILLION)