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North America 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): Opportunity Analysis and Industry Forecast, 2018 - 2025

IC_195189
Pages: 170
Feb 2019 | 1142 Views
 
Author(s) : Vishwa Gaul
Tables: 73
Charts: 43
 

North America 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 analytics, 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. The North America big data analytics in healthcare market size was valued at $9.36 billion in 2017, and is projected to reach $34.16 billion by 2025, growing at a CAGR of 17.7% from 2018 to 2025.

Initiatives by government, federal policies, and programs for healthcare sector in the North American countries are expected to drive the growth of the big data analytics in healthcare market in this region. For instance, Affordable Care Act (ACA), the crucial healthcare legislation in the U.S., has authorized the Department of Health and Human Services to release data that promotes transparency in the markets for healthcare and medical insurance. The government is providing incentive payments for healthcare providers to adopt Electronic Medical Records (EMRs) and has taken required actions to release data as a part of a program to promote data release and accessibility from agencies such as Centers for Medicare and Medicaid Services, and Centers for Disease Control. Thus, government healthcare policies drive the growth of the North America big data analytics in healthcare market. Furthermore, 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 fuel the growth of the North America big data analytics in healthcare market.

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The report focuses on the growth prospects, restraints, and North America big data analytics in healthcare market trends. The study provides Porters 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 North America big data analytics in healthcare market growth. Report also provides North America Big Data Analytics in Healthcare Market Forecast for the period of 2018 to 2025.

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

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Segment review

The North America big data analytics in healthcare market is segmented based on component, deployment, analytics type, application, end user, and country. In terms of component, the market is bifurcated into software and services. Based on 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. Further, clinical analytics is sub segmented into radiology, surgery and others. By end user segment, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Based on country, it is analyzed across the U.S. and Canada.

The key players operating in the North America 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, inclination toward cloud-based analytics solutions in the market is expected to provide North America big data analytics in healthcare market opportunity 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 North America 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.

Rise in need for business intelligence to optimize health administration and strategy

Various developed nations including the U.S. and Canada 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.

Growth in 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 business intelligence (BI) solutions. Enhanced planning, insightful decision-making, and predictive analysis have become mainstream requirements among business leaders, owing to the growth in 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 forecast period.

Key Benefits forNorth America Big Data Analytics In Healthcare Market:

  • This study presents the analytical depiction of the North America 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 North America big data analytics in healthcare industry.
  • Porters five forces analysis illustrates the potency of buyers & suppliers in the North America big data analytics in healthcare market.

North America 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 Application

  • Clinical Analytics
    • Radiology
    • Surgery
    • Others
  • Financial Analytics
  • Operational Analytics

By End User

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

By Country

  • U.S.
  • Canada

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.    MARKET DYNAMICS

3.4.1.    Drivers

3.4.1.1.    Increase in demand for analytics solutions for population health management
3.4.1.2.    Rise in need for business intelligence to optimize health administration & strategy
3.4.1.3.    Surge in adoption of big data among end users in the healthcare industry

3.4.2.    Restraints

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

3.4.3.    Opportunities

3.4.3.1.    Increase in inclination toward cloud-based analytics solutions
3.4.3.2.    Emerging trend in healthcare such as telehealth and innovations in genomics

3.5.    MARKET SHARE ANALYSIS
3.6.    MARKET LIFECYCLE
3.7.    LIST OF COMPETITOR PRODUCTS BY APPLICATION
3.8.    QUALITY MANAGEMENT

3.8.1.    Ongoing Professional Practice Evaluation (OPPE):
3.8.2.    Focused Professional Practice Evaluation (FPPE):
3.8.3.    Meaningful Use (MU):

CHAPTER 4:    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT

4.1.    OVERVIEW
4.2.    SOFTWARE

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

4.3.    SERVICES

4.3.1.    Key market trends, growth factors and opportunities
4.3.2.    Market size and forecast, 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, growth factors and opportunities
5.2.2.    Market size and forecast, by country

5.3.    CLOUD

5.3.1.    Key market trends, growth factors and opportunities
5.3.2.    Market size and forecast, 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, growth factors and opportunities
6.2.2.    Market size and forecast, by country

6.3.    PREDICTIVE ANALYTICS

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

6.4.    PRESCRIPTIVE ANALYTICS

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

6.5.    DIAGNOSTIC ANALYTICS

6.5.1.    Key market trends, growth factors and opportunities
6.5.2.    Market size and forecast, 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, growth factors and opportunities
7.2.2.    Market size and forecast, by country
7.2.3.    Clinical Analytics by Application

7.2.3.1.    Radiology
7.2.3.2.    Surgery
7.2.3.3.    Others

7.3.    FINANCIAL ANALYTICS

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

7.4.    OPERATIONAL ANALYTICS

7.4.1.    Key market trends, growth factors and opportunities
7.4.2.    Market size and forecast, 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, growth factors and opportunities
8.2.2.    Market size and forecast, by country

8.3.    FINANCE & INSURANCE AGENCIES

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

8.4.    RESEARCH ORGANIZATIONS

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

CHAPTER 9:    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY

9.1.    OVERVIEW
9.2.    U.S.

9.2.1.    Market size and forecast, by component
9.2.2.    Market size and forecast, by deployment
9.2.3.    Market size and forecast, by analytics type
9.2.4.    Market size and forecast, by application
9.2.5.    Market size and forecast, by clinical analytics
9.2.6.    Market size and forecast, by end user

9.3.    CANADA

9.3.1.    Market size and forecast, by component
9.3.2.    Market size and forecast, by deployment
9.3.3.    Market size and forecast, by analytics type
9.3.4.    Market size and forecast, by application
9.3.5.    Market size and forecast, by clinical analytics
9.3.6.    Market size and forecast, by end user

CHAPTER 10:    COMPANY PROFILE

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.    LIST OF COMPETITOR PRODUCTS BY APPLICATION
TABLE 02.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY COMPONENT, 2017–2025 ($BILLION)
TABLE 03.    BIG DATA ANALYTICS IN HEALTHCARE FOR SOFTWARE MARKET REVENUE, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 04.    BIG DATA ANALYTICS IN HEALTHCARE, FOR SERVICES MARKET REVENUE, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 05.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY DEPLOYMENT, 2017–2025 ($BILLION)
TABLE 06.    ON-PREMISE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 07.    CLOUD BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 08.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY ANALYTICS TYPE, 2017–2025 ($BILLION)
TABLE 09.    BIG DATA ANALYTICS IN HEALTHCARE, DESCRIPTIVE ANALYTICS MARKET REVENUE, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 10.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR PREDICTIVE ANALYTICS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 11.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR PRESCRIPTIVE ANALYTICS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 12.    BIG DATA ANALYTICS IN HEALTHCARE REVENUE FOR DIAGNOSTIC ANALYTICS MARKET, BY COUNTRY,  2017–2025 ($BILLION)
TABLE 13.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY APPLICATION, 2017–2025 ($BILLION)
TABLE 14.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR CLINICAL ANALYTICS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 15.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR CLINICAL ANALYTICS, 2017–2025 ($BILLION)
TABLE 16.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR RADIOLOGY, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 17.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR SURGERY, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 18.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR OTHERS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 19.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR FINANCIAL ANALYTICS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 20.    BIG DATA ANALYTICS IN HEALTHCARE, OPERATIONAL ANALYTICS MARKET REVENUE, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 21.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY END USER, 2017–2025 ($BILLION)
TABLE 22.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR HOSPITALS & CLINICS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 23.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR FINANCE & INSURANCE AGENCIES, BY COUNTRY,  2017–2025 ($BILLION)
TABLE 24.    BIG DATA ANALYTICS IN HEALTHCARE MARKET FOR RESEARCH ORGANIZATIONS, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 25.    NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2017–2025 ($BILLION)
TABLE 26.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT, 2017–2025 ($BILLION)
TABLE 27.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT, 2017–2025 ($BILLION)
TABLE 28.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS TYPE, 2017–2025 ($BILLION)
TABLE 29.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION, 2017–2025 ($BILLION)
TABLE 30.    U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY CLINICAL ANALYTICS, 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 CLINICAL ANALYTICS, 2017–2025 ($BILLION)
TABLE 37.    CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER, 2017–2025 ($BILLION)
TABLE 38.    ALLSCRIPTS: COMPANY SNAPSHOT
TABLE 39.    ALLSCRIPTS: OPERATING SEGMENTS
TABLE 40.    ALLSCRIPTS: PRODUCT PORTFOLIO
TABLE 41.    ALLSCRIPTS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 42.    CERNER CORPORATION: COMPANY SNAPSHOT
TABLE 43.    CERNER CORPORATION: OPERATING SEGMENTS
TABLE 44.    CERNER CORPORATION: PRODUCT PORTFOLIO
TABLE 45.    CERNER CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 46.    DELL EMC: COMPANY SNAPSHOT
TABLE 47.    DELL EMC: OPERATING SEGMENT
TABLE 48.    DELL EMC: PRODUCT PORTFOLIO
TABLE 49.    DELL EMC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 50.    EPIC SYSTEMS CORPORATION: COMPANY SNAPSHOT
TABLE 51.    EPIC SYSTEMS CORPORATION: PRODUCT PORTFOLIO
TABLE 52.    EPIC SYSTEMS CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 53.    GE HEALTHCARE: COMPANY SNAPSHOT
TABLE 54.    GENERAL ELECTRIC: OPERATING SEGMENTS
TABLE 55.    GE HEALTHCARE: PRODUCT PORTFOLIO
TABLE 56.    GE HEALTHCARE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 57.    HPE: COMPANY SNAPSHOT
TABLE 58.    HPE: OPERATING SEGMENTS
TABLE 59.    HPE : PRODUCT PORTFOLIO
TABLE 60.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
TABLE 61.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
TABLE 62.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
TABLE 63.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 64.    MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 65.    MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 66.    MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 67.    ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 68.    ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 69.    ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 70.    OPTUM, INC.: COMPANY SNAPSHOT
TABLE 71.    UNITED HEALTHCARE: OPERATING SEGMENTS
TABLE 72.    OPTUM, INC.: PRODUCT PORTFOLIO
TABLE 73.    OPTUM, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 01.    BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2017–2025
FIGURE 02.    BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COUNTRY, 2017–2025
FIGURE 03.    BIG DATA ANALYTICS IN HEALTHCARE MARKET: KEY PLAYERS
FIGURE 04.    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 SUPPLIERS
FIGURE 11.    MODERATE TO HIGH BARGAINING POWER OF BUYERS
FIGURE 12.    MODERATE THREAT OF SUBSTITUTES
FIGURE 13.    MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 14.    HIGH COMPETITIVE RIVALRY
FIGURE 15.    DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 16.    MARKET SHARE ANALYSIS
FIGURE 17.    MARKET LIFECYCLE
FIGURE 18.    ALLSCRIPTS: REVENUE, 2015–2017 ($MILLION)
FIGURE 19.    ALLSCRIPTS: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 20.    ALLSCRIPTS: REVENUE SHARE BY COUNTRY, 2017 (%)
FIGURE 21.    CERNER CORPORATION: REVENUE, 2015–2017 ($MILLION)
FIGURE 22.    CERNER CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 23.    CERNER CORPORATION: REVENUE SHARE BY COUNTRY, 2017 (%)
FIGURE 24.    DELL EMC: REVENUE, 2016–2018 ($MILLION)
FIGURE 25.    DELL EMC: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 26.    DELL EMC: REVENUE SHARE BY COUNTRY, 2018 (%)
FIGURE 27.    GENERAL ELECTRIC: REVENUE, 2015–2017 ($MILLION)
FIGURE 28.    GENERAL ELECTRIC: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 29.    GENERAL ELECTRIC: REVENUE SHARE BY COUNTRY, 2017 (%)
FIGURE 30.    HPE: NET SALES, 2015–2017 ($MILLION)
FIGURE 31.    HPE: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 32.    HPE: REVENUE SHARE BY COUNTRY, 2017 (%)
FIGURE 33.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE, 2015–2017 ($MILLION)
FIGURE 34.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 35.    INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE BY COUNTRY, 2017 (%)
FIGURE 36.    MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 37.    MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 38.    MICROSOFT CORPORATION: REVENUE SHARE BY COUNTRY, 2018 (%)
FIGURE 39.    ORACLE CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 40.    ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 41.    ORACLE CORPORATION: REVENUE SHARE BY COUNTRY, 2018 (%)
FIGURE 42.    UNITED HEALTHCARE: REVENUE, 2015–2017 ($MILLION)
FIGURE 43.    UNITED HEALTHCARE: REVENUE SHARE BY SEGMENT, 2017 (%)

 
 

The North America big data analytics in healthcare market is projected to witness significant growth, especially in North America due to increase in adoption of big data analytics and increase in incidences of aging population, rise in need for business intelligence and implementation of data warehousing for healthcare data in this industry across the North American countries. The market is projected to grow at a CAGR of 17.7% 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 the U.S. possesses the highest market share due to strong regulatory provisions, industry standards, and increase in cloud adoption among the end users.

Though vendors operating across the North America 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 boosts the growth of this market.

The key players profiled in the report 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. 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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