North America Big Data Analytics in Healthcare Market Size, Trends, Growth & Outlook

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

Industry: ICT | Report ID: FAMI-00249 | Published on: Sep, 2019 | View: 1548 | Share:         

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Big data analytics in healthcare is an analytic solution that derives insights on patient information and improves treatment techniques by enabling evidence-based disease prevention modeling, and diagnostic analysis. The key players, such as Allscripts, IBM Corporation, Optum, Epic, Microsoft, and others, provide innovative analytical solutions such as population health management, biometric analysis, clinical decision support, revenue cycle management, risk assessment, value-based analytics, and others to healthcare end users. 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.

Rise in demand for analytics for population health management solution, growth in healthcare expenditure, and increase in adoption of cloud analytics among several end users are some of the major factors that drive the growth of the North America big data analytics in the healthcare market. In addition, rise in government initiatives for supporting the adoption of healthcare analytics and regulatory provisions in the U.S. and Canada are expected to fuel the growth of the market. However, security concerns over patient information among end users and lack of skilled experts in healthcare analytics are the major factors that impede the market growth. Conversely, technological advancements and rise in application areas among various industry verticals are expected to provide lucrative opportunities for the growth of the North America market.

The North America big data analytics in the healthcare market is segmented into 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, the big data analytics in healthcare market is analyzed across the U.S. and Canada.

The North America big data analytics in healthcare market is dominated by key players such as All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation. 

Key Benefits forNorth America Big Data Analytics In Healthcare Market:

The study presents an in-depth analysis of the North America big data analytics in healthcare market along with the current & future trends to elucidate the imminent investment pockets.

Information about key drivers, restraints, and opportunities and their impact analysis on the market is provided in this study.

Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the North America big data analytics in healthcare industry.

The quantitative analysis of the market from 2017 to 2025 is provided to determine the market potential.

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"
 

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"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"
 

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