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, 2021 - 2027

ID: VPR/ICT/146 Publishing Year: January 2021 Pages: 182 Format:   


The Big Data Analytics in Healthcare Market size was valued at xx million in 2019 and is expected to reach xx million by 2027.

Big Data Analytics In Healthcare is the elaborate process of examining big data to discover information including hidden patterns, unknown correlation, market trends and customer preferences, such organization can help to make informed clinical and business decision. The field of Healthcare Analytics is colossal, spanning multiple diverse area, particularly clinical delivery, operational efficiency, and personalized medicine.

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. 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. However, threat of loss of confidential information is expected to hamper the market growth. Growth in regulatory acquiescence in Healthcare sector, increase in demand for Data Analytics solution for population health management, increasing 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, and sensors data boost the growth of the global big Data Analytics in Healthcare Market.

Segment Insight:

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. 

 By Component Insight:

In terms of component, the market is bifurcated into software and services. 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.

By Deployment Insight:

On the basis of deployment, it is fragmented into on-premise and cloud. 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.

By Analytics insight:

Depending on analytics type, it is segregated into descriptive analytics, predictive analytics, prescriptive analytics, and diagnostic analytics. Enhanced planning, insightful decision-making, and predictive analysis have become mainstream requirements among business.

By Application Insight:

By application, it is classified into clinical analytics, financial analytics, and operational analytics. With the healthcare industry generating zeta bytes of data, big data analytic solutions aim to improve quality care of patients and the overall Healthcare Ecosystem.

By End User Insight:

By end user segment, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. 

Major Key Players:

The report provides a comprehensive analysis of the key players operating in the Big Data Analytics In Healthcare Market, 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. Most of the key players in Big Data Analytics In Healthcare Market are focusing on business expansion to gain a higher revenue share through the adoption of strategies, such as mergers and acquisitions and new product development.

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


Frequently Asked Questions
All Scripts, Cerner, Dell EMC, Epic System Corporation, GE Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Microsoft, Optum, and Oracle Corporation.

TABLE OF CONTENTS:

CHAPTER 1 MARKET INTRODUCTION

1.1. REPORT OVERVIEW

1.2. SCOPE OF THE STUDY

1.3. PRIMARY MARKET SEGMENTS

1.4. RESEARCH METHODOLOGY

CHAPTER 2 EXECUTIVE SUMMARY

2.1. C-LEVEL EXECUTIVE’S OVERVIEW AND PERSPECTIVES

CHAPTER 3 MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE

3.2. PRINCIPAL FINDINGS

3.2.1. Key investment pockets

3.2.2. Leading winning strategies

  3.2.3 Key Player Positioning

3.3. PORTERS FIVE FORCES OF COMPETITIVE ANALYSIS

 3.4. MARKET DYNAMICS

3.4.1. Drivers

3.4.2. Restraints

3.4.3. Opportunities

3.4.4. Impact Analysis

3.5. IMPACT OF COVID-19 ON THIS MARKET

CHAPTER 4 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT

4.1. SYNOPSIS

4.1.1. Market size and forecast

4.2. SOFTWARE

4.2.1. Key market trends

4.2.2. Growth factors and opportunities

4.2.3. Market size and forecast

4.3. SERVICES

4.3.1. Key market trends

4.3.2. Growth factors and opportunities

4.3.3. Market size and forecast

CHAPTER 5 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT

5.1. SYNOPSIS

5.1.1. Market size and forecast

5.2. ON-PREMISE

5.2.1. Key market trends

5.2.2. Growth factors and opportunities

5.2.3. Market size and forecast

5.3. CLOUD

5.3.1. Key market trends

5.3.2. Growth factors and opportunities

5.3.3. Market size and forecast

CHAPTER 6 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY ANALYTICS

6.1. SYNOPSIS

6.1.1. Market size and forecast

6.2. DESCRIPTIVE ANALYTICS

6.2.1. Key market trends

6.2.2. Growth factors and opportunities

6.2.3. Market size and forecast

6.3. PREDICTIVE ANALYTICS

6.3.1. Key market trends

6.3.2. Growth factors and opportunities

6.3.3. Market size and forecast

6.4. PRESCRIPTIVE ANALYTICS

6.4.1. Key market trends

6.4.2. Growth factors and opportunities

6.4.3. Market size and forecast

6.5. DIAGNOSTIC ANALYTICS

6.5.1. Key market trends

6.5.2. Growth factors and opportunities

6.5.3. Market size and forecast

CHAPTER 7 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION

7.1. SYNOPSIS

7.1.1. Market size and forecast

7.2. CLINICAL ANALYTICS

7.2.1. Key market trends

7.2.2. Growth factors and opportunities

7.2.3. Market size and forecast

7.3. FINANCIAL ANALYTICS

7.3.1. Key market trends

7.3.2. Growth factors and opportunities

7.3.3. Market size and forecast

7.4. OPERATIONAL ANALYTICS

7.4.1. Key market trends

7.4.2. Growth factors and opportunities

7.4.3. Market size and forecast

CHAPTER 8 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER

8.1. SYNOPSIS

8.1.1. Market size and forecast

8.2. HOSPITALS & CLINICS

8.2.1. Market size and forecast

8.3. FINANCE & INSURANCE AGENCIES

8.3.1. Market size and forecast

8.4. RESEARCH ORGANIZATIONS

8.4.1. Market size and forecast

CHAPTER 9 BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY REGION

9.1 SYNOPSIS

9.2 North America

9.2.1 Key market trends

9.2.2 Competitive scenario

9.2.3 Key growth factors and opportunities

9.2.4 Market size and forecast

9.3 Europe

9.3.1 Key market trends

9.3.2 Competitive scenario

9.3.3 Key growth factors and opportunities

9.3.4 Market size and forecast

9.4 Asia Pacific

9.4.1 Key market trends

9.4.2 Competitive scenario

9.4.3 Key growth factors and opportunities

9.4.4 Market size and forecast

9.5 LAMEA

9.5.1 Key market trends

9.5.2 Key growth factors and opportunities

9.5.3 Market size and forecast

CHAPTER 10 COMPANY PROFILES

  10.1. ALL SCRIPTS

10.1.1. Company overview

10.1.2. Company snapshot

10.1.3. Product portfolio

10.1.4. Business performance

10.1.5. Key strategic moves and developments

  10.2. CERNER

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 SYSTEM CORPORATION

10.4.1. Company overview

10.4.2. Company snapshot

10.4.3. Operating business segments

10.4.4. Product portfolio

10.4.5. Business performance

10.4.6. 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 (IBM) CORPORATION

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

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. OPTUM

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. ORACLE CORPORATION

10.10.1. Company overview

10.10.2. Company snapshot

10.10.3. Product portfolio

10.10.4. Key strategic moves and developments

 

 

 

 


PURCHASE OPTIONS




    ADD TO CART

CONTACT US
CALL US ON
( +91-935-919-4956 )

CONTACT EMAIL
[email protected]
PURCHASE OPTIONS




    ADD TO CART

CONTACT US
CALL US ON
( +91-935-919-4956 )

CONTACT EMAIL
[email protected]