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Big Data Analytics in Healthcare Market by Component (Software and Services), Deployment (On-Premise and Cloud), Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Diagnostic Analytics), Application (Clinical Analytics, Financial Analytics, and Operational Analytics), and End User (Hospitals & Clinics, Finance & Insurance Agencies, and Research Organizations): Global Opportunity Analysis and Industry Forecast, 2018 - 2025

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Software and Services
IC_172308
Pages: 260
Dec 2018 | 3555 Views
 
Author(s) : Vishwa Gaul
Tables: 155
Charts: 71
 

Big Data Analytics In Healthcare Market Overview:

Big data analytics in healthcare is the complex process of examining big data to discover information including hidden patterns, market trends, unknown correlations, and customer preferences, which can help organizations to make informed clinical and business decisions. The field of healthcare analytics is enormous, spanning multiple diverse areas, particularly clinical delivery, operational efficiency, and personalized medicine. In addition, big data analytics optimizes process-oriented expenditures in the healthcare industry by improving the population health, integrating performance modeling with financial and predictive care monitoring, and others. Growth in regulatory compliance in healthcare sector, increase in demand for data analytics solution for population health management, rise in expenditure on technologically advanced solutions by healthcare providers, and continuous growth in enormous amount of medical data generation in form of electronic health record (EHR), biometric data, sensors data boost the growth of the global big data analytics in healthcare market. The global big data analytics in healthcare market size was valued at $16.87 billion in 2017, and is projected to reach $67.82 billion by 2025, growing at a CAGR of 19.1% from 2018 to 2025.

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North America region dominated the overall big data analytics in healthcare market share in 2017, due to rise in advancements in IoT and increase in the demand for analytical models on patient information for better service delivery, government policies.

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The report focuses on the growth prospects, restraints, and big data analytics in healthcare market trends. The study provides Porter’s five forces analysis of the big data analytics in healthcare industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the big data analytics in healthcare market growth.

Segment review

The global big data analytics in healthcare market is segmented based on component, deployment, analytics type, application, end user, and region. In terms of component, the market is bifurcated into software and services. On the basis of deployment, it is fragmented into on-premise and cloud. Depending on analytics type, it is segregated into descriptive analytics, predictive analytics, prescriptive analytics, and diagnostic analytics. By application, it is classified into clinical analytics, financial analytics, and operational analytics. By end user segment, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players operating in the global big data analytics in healthcare market analysis include All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.

Top impacting factors

Increase in the demand for analytics solutions for population health management and rise in need for business intelligence to optimize health administration and strategy are expected to drive the market growth. In addition, growing inclination toward cloud-based analytics solutions in the market is expected to provide lucrative opportunities for the market expansion.

Increase in the demand for analytics solutions for population health management

Population health management demands for complete patient care with cost-effective medication processes, thereby requiring integration of clinical and claims data on the same platform for data analysis. Surge in the demand for improvement in care management, prediction of early illness factors, and hospitalization process is anticipated to fuel the growth of the global big data analytics in healthcare market in the future. Moreover, citizen health is of prime importance for healthcare administration in the healthcare industry, which in turn requires predictive analysis of population health and is expected to augment the implementation of big data analytics during the forecast period.

Rising need for business intelligence to optimize health administration and strategy

Various developed nations including the US, the UK, Brazil, Germany, Sweden, Canada, France, and many others focus on big data implementation for healthcare analytics to provide best treatment procedures and clinical services. With an objective for better treatment with reduced costs, several government departments and healthcare agencies are focused on technological implementation for predictive modeling on healthcare and clinical data.

Growing inclination toward cloud-based analytics solutions

In the recent past, organizations from healthcare sectors are realizing the benefits of cloud solutions and preferring using cloud analytics tools over conventional on-premise BI (business intelligence) solutions. Enhanced planning, insightful decision-making, and predictive analysis have become mainstream requirements among business leaders, owing to the growing need for client and customer management. According to the Harvard Business Study on cloud business analytics, industry players are more focused on deploying cloud-based data discovery & visualization, predictive analytics, big data, and mobile analytics solutions. These factors are anticipated to create lucrative opportunities for the analytics providers during the big data analytics in healthcare market forecast period.

Key Benefits for Big Data Analytics In Healthcare Market:

  • This study presents the analytical depiction of the global big data analytics in healthcare market along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and big data analytics in the healthcare market opportunities.
  • The current market is quantitatively analyzed from 2017 to 2025 to highlight the financial competency of the industry.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the global big data analytics in healthcare market.

Big Data Analytics In Healthcare Key Market Segments:

By Component

  • Software
  • Services

By Deployment

  • On-Premise
  • Cloud

By Analytics Type

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Diagnostic Analytics

By Applications

  • Clinical Analytics
  • Financial Analytics
  • Operational Analytics

By End User

  • Hospitals & Clinics
  • Finance & Insurance Agencies
  • Research Organizations

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players

  • All scripts
  • Cerner
  • Dell EMC
  • Epic System Corporation
  • General Electric Healthcare
  • Hewlett Packard Enterprise (HPE)
  • International Business Machines (IBM) Corporation
  • Microsoft
  • Optum
  • Oracle Corporation
 

Chapter: 1:    INTRODUCTION

1.1.    REPORT DESCRIPTION
1.2.    KEY BENEFITS FOR STAKEHOLDERS
1.3.    RESEARCH METHODOLOGY

1.3.1.    Secondary research
1.3.2.    Primary research
1.3.3.    Analyst tools & models

Chapter: 2:    EXECUTIVE SUMMARY

2.1.    CXO PERSPECTIVE

Chapter: 3:    MARKET OVERVIEW

3.1.    MARKET DEFINITION AND SCOPE
3.2.    KEY FINDINGS

3.2.1.    Top impacting factors
3.2.2.    Top investment pockets
3.2.3.    Top winning strategies

3.3.    PORTER'S FIVE FORCES ANALYSIS
3.4.    KEY PLAYER POSITIONING, 2017
3.5.    MARKET DYNAMICS

3.5.1.    Drivers

3.5.1.1.    Increase in the demand for analytics solutions for population health management
3.5.1.2.    Rise in need for business intelligence to optimize health administration and strategy
3.5.1.3.    Surge in adoption of big data among the end users in healthcare industry

3.5.2.    Restraints

3.5.2.1.    Security concerns related to sensitive patients’ medical data
3.5.2.2.    Lack of skilled and expert staff

3.5.3.    Opportunities

3.5.3.1.    Growing inclination towards cloud-based analytics solutions
3.5.3.2.    Emerging trend in healthcare such as telehealth and innovations in genomics

Chapter: 4:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT

4.1.    OVERVIEW
4.2.    SOFTWARE

4.2.1.    Key market trends
4.2.2.    Key growth factors and opportunities
4.2.3.    Market size and forecast, by region
4.2.4.    Market analysis by country

4.3.    SERVICES

4.3.1.    Key market trends
4.3.2.    Key growth factors and opportunities
4.3.3.    Market size and forecast, by region
4.3.4.    Market analysis by country

Chapter: 5:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT

5.1.    OVERVIEW
5.2.    ON-PREMISE

5.2.1.    Key market trends
5.2.2.    Key growth factors and opportunities
5.2.3.    Market size and forecast, by region
5.2.4.    Market analysis by country

5.3.    CLOUD

5.3.1.    Key market trends
5.3.2.    Key growth factors and opportunities
5.3.3.    Market size and forecast, by region
5.3.4.    Market analysis by country

Chapter: 6:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE

6.1.    OVERVIEW
6.2.    DESCRIPTIVE ANALYTICS

6.2.1.    Key market trends
6.2.2.    Key growth factors and opportunities
6.2.3.    Market size and forecast, by region
6.2.4.    Market analysis by country

6.3.    PREDICTIVE ANALYTICS

6.3.1.    Key market trends
6.3.2.    Key growth factors and opportunities
6.3.3.    Market size and forecast, by region
6.3.4.    Market analysis by country

6.4.    PRESCRIPTIVE ANALYTICS

6.4.1.    Key market trends
6.4.2.    Key growth factors and opportunities
6.4.3.    Market size and forecast, by region
6.4.4.    Market analysis by country

6.5.    DIAGNOSTIC ANALYTICS

6.5.1.    Key market trends
6.5.2.    Key growth factors and opportunities
6.5.3.    Market size and forecast, by region
6.5.4.    Market analysis by country

Chapter: 7:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION

7.1.    OVERVIEW
7.2.    CLINICAL ANALYTICS

7.2.1.    Key market trends
7.2.2.    Key growth factors and opportunities
7.2.3.    Market size and forecast, by region
7.2.4.    Market analysis by country

7.3.    FINANCIAL ANALYTICS

7.3.1.    Key market trends
7.3.2.    Key growth factors and opportunities
7.3.3.    Market size and forecast, by region
7.3.4.    Market analysis by country

7.4.    OPERATIONAL ANALYTICS

7.4.1.    Key market trends
7.4.2.    Key growth factors and opportunities
7.4.3.    Market size and forecast, by region
7.4.4.    Market analysis by country

Chapter: 8:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER

8.1.    OVERVIEW
8.2.    HOSPITALS & CLINICS

8.2.1.    Key market trends
8.2.2.    Key growth factors and opportunities
8.2.3.    Market size and forecast, by region
8.2.4.    Market analysis by country

8.3.    FINANCE & INSURANCE AGENCIES

8.3.1.    Key market trends
8.3.2.    Key growth factors and opportunities
8.3.3.    Market size and forecast, by region
8.3.4.    Market analysis by country

8.4.    RESEARCH ORGANIZATIONS

8.4.1.    Key market trends
8.4.2.    Key growth factors and opportunities
8.4.3.    Market size and forecast, by region
8.4.4.    Market analysis by country

Chapter: 9:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY REGION

9.1.    OVERVIEW
9.2.    NORTH AMERICA

9.2.1.    Key market trends
9.2.2.    Key growth factors and opportunities
9.2.3.    Market size and forecast

9.2.3.1.    Market size and forecast, by component
9.2.3.2.    Market size and forecast, by deployment
9.2.3.3.    Market size and forecast, by analytics type
9.2.3.4.    Market size and forecast, by application
9.2.3.5.    Market size and forecast, by end user
9.2.3.6.    Market size and forecast, by country
9.2.3.7.    U.S.

9.2.3.7.1.    Market size and forecast, by component
9.2.3.7.2.    Market size and forecast, by deployment
9.2.3.7.3.    Market size and forecast, by analytics type
9.2.3.7.4.    Market size and forecast, by application
9.2.3.7.5.    Market size and forecast, by end user

9.2.3.8.    Canada

9.2.3.8.1.    Market size and forecast, by component
9.2.3.8.2.    Market size and forecast, by deployment
9.2.3.8.3.    Market size and forecast, by analytics type
9.2.3.8.4.    Market size and forecast, by application
9.2.3.8.5.    Market size and forecast, by end user

9.3.    EUROPE

9.3.1.    Key market trends
9.3.2.    Key growth factors and opportunities
9.3.3.    Market size and forecast

9.3.3.1.    Market size and forecast, by component
9.3.3.2.    Market size and forecast, by deployment
9.3.3.3.    Market size and forecast, by analytics type
9.3.3.4.    Market size and forecast, by application
9.3.3.5.    Market size and forecast, by end user
9.3.3.6.    Market size and forecast, by country
9.3.3.7.    UK

9.3.3.7.1.    Market size and forecast, by component
9.3.3.7.2.    Market size and forecast, by deployment
9.3.3.7.3.    Market size and forecast, by analytics type
9.3.3.7.4.    Market size and forecast, by application
9.3.3.7.5.    Market size and forecast, by end user

9.3.3.8.    Germany

9.3.3.8.1.    Market size and forecast, by component
9.3.3.8.2.    Market size and forecast, by deployment
9.3.3.8.3.    Market size and forecast, by analytics type
9.3.3.8.4.    Market size and forecast, by application
9.3.3.8.5.    Market size and forecast, by end user

9.3.3.9.    France

9.3.3.9.1.    Market size and forecast, by component
9.3.3.9.2.    Market size and forecast, by deployment
9.3.3.9.3.    Market size and forecast, by analytics type
9.3.3.9.4.    Market size and forecast, by application
9.3.3.9.5.    Market size and forecast, by end user

9.3.3.10.    ITALY

9.3.3.10.1.    Market size and forecast, by component
9.3.3.10.2.    Market size and forecast, by deployment
9.3.3.10.3.    Market size and forecast, by analytics type
9.3.3.10.4.    Market size and forecast, by application
9.3.3.10.5.    Market size and forecast, by end user

9.3.3.11.    Rest of Europe

9.3.3.11.1.    Market size and forecast, by component
9.3.3.11.2.    Market size and forecast, by deployment
9.3.3.11.3.    Market size and forecast, by analytics type
9.3.3.11.4.    Market size and forecast, by application
9.3.3.11.5.    Market size and forecast, by end user

9.4.    ASIA-PACIFIC

9.4.1.    Key market trends
9.4.2.    Key growth factors and opportunities
9.4.3.    Market size and forecast

9.4.3.1.    Market size and forecast, by component
9.4.3.2.    Market size and forecast, by deployment
9.4.3.3.    Market size and forecast, by analytics type
9.4.3.4.    Market size and forecast, by application
9.4.3.5.    Market size and forecast, by end user
9.4.3.6.    Market size and forecast, by country
9.4.3.7.    China

9.4.3.7.1.    Market size and forecast, by component
9.4.3.7.2.    Market size and forecast, by deployment
9.4.3.7.3.    Market size and forecast, by analytics type
9.4.3.7.4.    Market size and forecast, by application
9.4.3.7.5.    Market size and forecast, by end user

9.4.3.8.    Singapore

9.4.3.8.1.    Market size and forecast, by component
9.4.3.8.2.    Market size and forecast, by deployment
9.4.3.8.3.    Market size and forecast, by analytics type
9.4.3.8.4.    Market size and forecast, by application
9.4.3.8.5.    Market size and forecast, by end user

9.4.3.9.    Japan

9.4.3.9.1.    Market size and forecast, by component
9.4.3.9.2.    Market size and forecast, by deployment
9.4.3.9.3.    Market size and forecast, by analytics type
9.4.3.9.4.    Market size and forecast, by application
9.4.3.9.5.    Market size and forecast, by end user

9.4.3.10.    AUSTRALIA

9.4.3.10.1.    Market size and forecast, by component
9.4.3.10.2.    Market size and forecast, by deployment
9.4.3.10.3.    Market size and forecast, by analytics type
9.4.3.10.4.    Market size and forecast, by application
9.4.3.10.5.    Market size and forecast, by end user

9.4.3.11.    Rest of Asia-Pacific

9.4.3.11.1.    Market size and forecast, by component
9.4.3.11.2.    Market size and forecast, by deployment
9.4.3.11.3.    Market size and forecast, by analytics type
9.4.3.11.4.    Market size and forecast, by application
9.4.3.11.5.    Market size and forecast, by end user

9.5.    LAMEA

9.5.1.    Key market trends
9.5.2.    Key growth factors and opportunities
9.5.3.    Market size and forecast

9.5.3.1.    Market size and forecast, by component
9.5.3.2.    Market size and forecast, by deployment
9.5.3.3.    Market size and forecast, by analytics type
9.5.3.4.    Market size and forecast, by application
9.5.3.5.    Market size and forecast, by end user
9.5.3.7.    Market size and forecast, by country
9.5.3.8.    Latin America

9.5.3.8.1.    Market size and forecast, by component
9.5.3.8.2.    Market size and forecast, by deployment
9.5.3.8.3.    Market size and forecast, by analytics type
9.5.3.8.4.    Market size and forecast, by application
9.5.3.8.5.    Market size and forecast, by end user

9.5.3.9.    Middle East

9.5.3.9.1.    Market size and forecast, by component
9.5.3.9.2.    Market size and forecast, by deployment
9.5.3.9.3.    Market size and forecast, by analytics type
9.5.3.9.4.    Market size and forecast, by application
9.5.3.9.5.    Market size and forecast, by end user

9.5.3.10.    Africa

9.5.3.10.1.    Market size and forecast, by component
9.5.3.10.2.    Market size and forecast, by deployment
9.5.3.10.3.    Market size and forecast, by analytics type
9.5.3.10.4.    Market size and forecast, by application
9.5.3.10.5.    Market size and forecast, by end user

Chapter: 10:    COMPANY PROFILES

10.1.    ALLSCRIPTS

10.1.1.    Company overview
10.1.2.    Company snapshot
10.1.3.    Operating business segments
10.1.4.    Product portfolio
10.1.5.    Business performance
10.1.6.    Key strategic moves and developments

10.2.    CERNER CORPORATION

10.2.1.    Company overview
10.2.2.    Company snapshot
10.2.3.    Operating business segments
10.2.4.    Product portfolio
10.2.5.    Business performance
10.2.6.    Key strategic moves and developments

10.3.    DELL EMC

10.3.1.    Company overview
10.3.2.    Company snapshot
10.3.3.    Operating business segments
10.3.4.    Product portfolio
10.3.5.    Business performance
10.3.6.    Key strategic moves and developments

10.4.    EPIC SYSTEMS CORPORATION

10.4.1.    Company overview
10.4.2.    Company snapshot
10.4.3.    Product portfolio
10.4.4.    Key strategic moves and developments

10.5.    GE HEALTHCARE

10.5.1.    Company overview
10.5.2.    Company snapshot
10.5.3.    Operating business segments
10.5.4.    Product portfolio
10.5.5.    Business performance
10.5.6.    Key strategic moves and developments

10.6.    HEWLETT PACKARD ENTERPRISE (HPE)

10.6.1.    Company overview
10.6.2.    Company snapshot
10.6.3.    Operating business segments
10.6.4.    Product portfolio
10.6.5.    Business performance
10.6.6.    Key strategic moves and developments

10.7.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)

10.7.1.    Company overview
10.7.2.    Company snapshot
10.7.3.    Operating business segments
10.7.4.    Product portfolio
10.7.5.    Business performance
10.7.6.    Key strategic moves and developments

10.8.    MICROSOFT CORPORATION

10.8.1.    Company overview
10.8.2.    Company snapshot
10.8.3.    Operating business segments
10.8.4.    Product portfolio
10.8.5.    Business performance
10.8.6.    Key strategic moves and developments

10.9.    ORACLE CORPORATION

10.9.1.    Company overview
10.9.2.    Company snapshot
10.9.3.    Operating business segments
10.9.4.    Product portfolio
10.9.5.    Business performance
10.9.6.    Key strategic moves and developments

10.10.    OPTUM, INC.

10.10.1.    Company overview
10.10.2.    Company snapshot
10.10.3.    Operating business segments
10.10.4.    Product portfolio
10.10.5.    Business performance
10.10.6.    Key strategic moves and developments

LIST OF TABLES

TABLE 01.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY COMPONENT, 2017–2025($BILLION)
TABLE 02.    BIG DATA ANALYTICS IN HEALTHCARE SOFTWARE MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 03.    BIG DATA ANALYTICS IN HEALTHCARE SERVICES MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 04.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 05.    ON-PREMISE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 06.    CLOUD BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 07.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 08.    BIG DATA ANALYTICS IN HEALTHCARE, DESCRIPTIVE ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 09.    BIG DATA ANALYTICS IN HEALTHCARE, PREDICTIVE ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 10.    BIG DATA ANALYTICS IN HEALTHCARE, PRESCRIPTIVE ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 11.    BIG DATA ANALYTICS IN HEALTHCARE, DIAGNOSTIC ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 12.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY APPLICATION, 2017–2025($BILLION)
TABLE 13.    BIG DATA ANALYTICS IN HEALTHCARE, CLINICAL ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 14.    BIG DATA ANALYTICS IN HEALTHCARE, FINANCIAL ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 15.    BIG DATA ANALYTICS IN HEALTHCARE, OPERATIONAL ANALYTICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 16.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY END USER, 2017–2025($BILLION)
TABLE 17.    BIG DATA ANALYTICS IN HEALTHCARE, HOSPITALS & CLINICS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 18.    BIG DATA ANALYTICS IN HEALTHCARE, FINANCE & INSURANCE AGENCIES MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 19.    BIG DATA ANALYTICS IN HEALTHCARE, RESEARCH ORGANIZATIONS MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 20.    BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2017–2025($BILLION)
TABLE 21.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 22.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 23.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 24.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 25.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 26.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2017–2025($BILLION)
TABLE 27.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 28.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 29.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 30.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 31.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 32.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 33.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 34.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 35.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 36.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 37.    EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 38.    EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 39.    EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 40.    EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 41.    EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 42.    EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2017–2025($BILLION)
TABLE 43.    UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 44.    UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 45.    UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 46.    UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 47.    UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 48.    GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 49.    GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 50.    GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 51.    GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 52.    GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 53.    FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 54.    FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 55.    FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 56.    FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 57.    FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 58.    ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 59.    ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 60.    ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 61.    ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 62.    ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 63.    REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 64.    REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 65.    REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 66.    REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 67.    REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 68.    ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 69.    ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 70.    ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 71.    ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 72.    ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 73.    ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2017–2025($BILLION)
TABLE 74.    CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 75.    CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 76.    CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 77.    CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 78.    CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 79.    SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 80.    SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 81.    SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 82.    SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 83.    SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 84.    JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 85.    JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 86.    JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 87.    JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 88.    JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 89.    AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 90.    AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 91.    AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 92.    AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 93.    AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 94.    REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 95.    REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 96.    REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 97.    REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 98.    REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 99.    LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 100.    LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 101.    LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 102.    LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 103.    LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 104.    LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2017–2025($BILLION)
TABLE 105.    LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 106.    LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 107.    LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 108.    LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 109.    LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 110.    MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 111.    MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 112.    MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 113.    MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 114.    MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 115.    AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025($BILLION)
TABLE 116.    AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025($BILLION)
TABLE 117.    AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025($BILLION)
TABLE 118.    AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025($BILLION)
TABLE 119.    AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025($BILLION)
TABLE 120.    ALLSCRIPTS: COMPANY SNAPSHOT
TABLE 121.    ALLSCRIPTS: OPERATING SEGMENTS
TABLE 122.    ALLSCRIPTS: PRODUCT PORTFOLIO
TABLE 123.    ALLSCRIPTS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 124.    CERNER CORPORATION: COMPANY SNAPSHOT
TABLE 125.    CERNER CORPORATION: OPERATING SEGMENTS
TABLE 126.    CERNER CORPORATION: PRODUCT PORTFOLIO
TABLE 127.    CERNER CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128.    DELL EMC: COMPANY SNAPSHOT
TABLE 129.    DELL EMC: OPERATING SEGMENT
TABLE 130.    DELL EMC: PRODUCT PORTFOLIO
TABLE 131.    DELL EMC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 132.    EPIC SYSTEMS CORPORATION: COMPANY SNAPSHOT
TABLE 133.    EPIC SYSTEMS CORPORATION: PRODUCT PORTFOLIO
TABLE 134.    EPIC SYSTEMS CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 135.    GE HEALTHCARE: COMPANY SNAPSHOT
TABLE 136.    GENERAL ELECTRIC: OPERATING SEGMENTS
TABLE 137.    GE HEALTHCARE: PRODUCT PORTFOLIO
TABLE 138.    GE HEALTHCARE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 139.    HPE: COMPANY SNAPSHOT
TABLE 140.    HPE: OPERATING SEGMENTS
TABLE 141.    HPE: PRODUCT PORTFOLIO
TABLE 142.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
TABLE 143.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
TABLE 144.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
TABLE 145.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 146.    MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 147.    MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 148.    MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 149.    ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 150.    ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 151.    ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 152.    OPTUM, INC.: COMPANY SNAPSHOT
TABLE 153.    UNITED HEALTHCARE: OPERATING SEGMENTS
TABLE 154.    OPTUM, INC.: PRODUCT PORTFOLIO
TABLE 155.    OPTUM, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 01.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025
FIGURE 02.    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY REGION, 2017–2025
FIGURE 03.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET: KEY PLAYERS
FIGURE 04.    GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET SEGMENTATION
FIGURE 05.    TOP IMPACTING FACTORS
FIGURE 06.    TOP INVESTMENT POCKETS
FIGURE 07.    TOP WINNING STRATEGIES, BY YEAR, 2015–2018*
FIGURE 08.    TOP WINNING STRATEGIES, BY DEVELOPMENT, 2015–2018* (%)
FIGURE 09.    TOP WINNING STRATEGIES, BY COMPANY, 2015–2018*
FIGURE 10.    MODERATE BARGAINING POWER OF SUPPLIER
FIGURE 11.    MODERATE BARGAINING POWER OF BUYER
FIGURE 12.    HIGH THREAT OF SUBSTITUTES
FIGURE 13.    MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 14.    HIGH COMPETITIVE RIVALRY
FIGURE 15.    BIG DATA ANALYTICS IN HEALTHCARE MARKET: KEY PLAYER POSITIONING, 2017
FIGURE 16.    DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 17.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE SOFTWARE MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 18.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE SERVICES MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 19.    COMPARATIVE SHARE ANALYSIS OF ON-PREMISE BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 20.    COMPARATIVE SHARE ANALYSIS OF CLOUD BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 21.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, DESCRIPTIVE ANALYTICS MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 22.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, PREDICTIVE ANALYTICS MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 23.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, PRESCRIPTIVE ANALYTICS MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 24.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, DIAGNOSTIC ANALYTICS MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 25.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, CLINICAL ANALYTICS MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 26.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, FINANCIAL ANALYTICS MARKET, BY COUNTRY, 2017 & 2025(%)
FIGURE 27.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, OPERATIONAL ANALYTICS MARKET, BY COUNTRY, 2017 & 2025(%)
FIGURE 28.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, HOSPITALS & CLINICS MARKET, BY COUNTRY,  2017 & 2025(%)
FIGURE 29.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, FINANCE & INSURANCE AGENCIES MARKET, BY COUNTRY, 2017 & 2025(%)
FIGURE 30.    COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN HEALTHCARE, RESEARCH ORGANIZATIONS MARKET, BY COUNTRY, 2017 & 2025(%)
FIGURE 31.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 32.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 33.    UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 34.    GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 35.    FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 36.    ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 37.    REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 38.    CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 39.    SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 40.    JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 41.    AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 42.    REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 43.    LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 44.    MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 45.    AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025($BILLION)
FIGURE 46.    ALLSCRIPTS: REVENUE, 2015–2017 ($MILLION)
FIGURE 47.    ALLSCRIPTS: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 48.    ALLSCRIPTS: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 49.    CERNER CORPORATION: REVENUE, 2015–2017 ($MILLION)
FIGURE 50.    CERNER CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 51.    CERNER CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 52.    DELL EMC: REVENUE, 2016–2018 ($MILLION)
FIGURE 53.    DELL EMC: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 54.    DELL EMC: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 55.    GENERAL ELECTRIC: REVENUE, 2015–2017 ($MILLION)
FIGURE 56.    GENERAL ELECTRIC: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 57.    GENERAL ELECTRIC: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 58.    HPE: NET SALES, 2015–2017 ($MILLION)
FIGURE 59.    HPE: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 60.    HPE: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 61.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE, 2015–2017 ($MILLION)
FIGURE 62.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 63.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 64.    MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 65.    MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 66.    MICROSOFT CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 67.    ORACLE CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 68.    ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 69.    ORACLE CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2018 (%)
FIGURE 70.    UNITED HEALTHCARE: REVENUE, 2015–2017 ($MILLION)
FIGURE 71.    UNITED HEALTHCARE: REVENUE SHARE BY SEGMENT, 2017 (%)
 

The global big data analytics in healthcare market is projected to witness significant growth, especially in North America and Europe due to increase in adoption of big data analytics and rise in need for business intelligence in the healthcare industry across these regions. The big data analytics in healthcare market is projected to grow at a CAGR of 19.1% from 2018 to 2025, owing to increase in regulatory compliance and rise in need for business intelligence to optimize health administration.

Big data analytics in healthcare market in several European and Asia-Pacific countries, including Finland, Sweden, China, Japan, and many others, possess high market potential due to strong government support and increase in cloud adoption among the end users.

Though vendors operating across the big data analytics in healthcare market are concentrating on bringing interoperability and better health information technology through big data analytics to hospitals and health systems, their customers are still focusing mostly on securing the sensitive health data, ensuring patient safety and improving operational efficiencies. Furthermore, growth in awareness about adopting population health management and clinical analytics is boosting the growth of this market.

The key players profiled in the big data analytics in healthcare market report include All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, Oracle Corporation. These players have adopted various strategies such as merger & acquisition or strategic alliance with start-ups and well-established players to expand their market presence and enhance their product portfolio.

 

 

 

 

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