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Big Data Analytics in Healthcare Market By Solution (Software, Service), Deployment(On-premise, Cloud) and By End User (Hospitals & Clinics, Finance & Insurance Agencies, Research Organization) - Global Opportunity Analysis and Industry Forecast, 2016-2023

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Software and Services
IC_172308
Pages: 123
Jun 2017 | 1842 Views
 
Author's : Soumya Swarup Sahoo
Tables: 35
Charts: 46
 

Big Data Analytics In Healthcare Market Overview:

Global Big Data Analytics In Healthcare Market was valued at $10,725 million in 2016, and is estimated to reach at $36,093 million by 2023, growing at a CAGR of 19.1% from 2017-2023.  This is attributed to the surge in digitalization of medical procedures and demand for analytic solutions to derive patient-centric insights on treatment procedures across North America, Europe, and Asia-Pacific.

Big data analytics in healthcare is a complete solution package offered by key analytic solution providers, such as IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., McKesson Corporation, and others, to predict, manage, and maintain various analytical platforms in cloud and on-premise deployment. It also provides intuitive analysis on healthcare-related processes that start from pre-hospitalization to post medical cost calculation.

Technological advancements and extensive use of cloud deployment platform have contributed to the adoption of big data analytics in healthcare market in North America. Moreover, increase in the adoption of big data analytics for healthcare-related applications, such as cost-effective medication, insurance planning with respect to population health, and diagnostic approaches in Asia-Pacific, have encouraged vendors to invest in product development in big data analytics in healthcare market.

Global Big Data Analytics in Healthcare Market Segmentation

Global Big Data Analytics in Healthcare Market Segmentation

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The global big data analytics in healthcare market is segmented based on solution, deployment, end user, and geography. Based on solution, it is categorized into software and service. Considering deployment, it is bifurcated into on-premise and cloud deployment. Based on end user, it is divided into hospitals & clinics, finance & insurance agencies, and research organizations. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Industry participants have realized the importance of strengthening the overall big data analytics in healthcare market due to rise in the demand for pattern recognition of medical procedures, diseases, and their origins. The key players aim to target end users such as health organizations, research institutes, hospitals, and others, to offer customized solutions for big data analytics in healthcare market. The LAMEA market has the least share in the global big data analytics in healthcare market. However, with the provision of the right information and communication technology (ICT) and government initiatives in healthcare analytics, LAMEA is expected to provide opportunities for market investments in future.

The key players profiled in the report are Microsoft Corporation, Oracle Corporation, Cisco Systems Inc., SAS Institute Inc., IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., McKesson Corporation, and Vizient, Inc. These players have adopted geographical expansion, mergers & acquisitions, product portfolio expansion, and collaborations as their key strategies to enhance their penetration in the big data analytics in healthcare market.

Top Impacting Factors

Top Impacting Factors

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Surge in the Demand for Analytics Solutions for Citizen Health Management

A surge in the demand for improvement in care management, prediction of early illness factors, and hospitalization process is anticipated to fuel the big data analytics in healthcare market growth.

Increase in the Adoption of Cloud Analytics among Several End Users

Cloud analytics adoption is rising among hospitals, clinics, insurance agencies, and health research organization due to easy access and pay per use deployment models.

Growth in Need for Business Intelligence to Optimize Health Administration and Strategy

Several government departments and healthcare agencies focus on technological implementation for predictive modeling with regards to healthcare and clinical data to provide affordable treatment.

Lack of it Infrastructure in the Underdeveloped Nations

Countries in Asia-Pacific, Latin America, Middle East, and Africa are yet to transform to technologically advanced data centers with rich IT infrastructure and digital content, which is expected to hinder the market progression.

Growth in Inclination Toward Cloud-based Analytics Solutions

In the recent past, business organizations from various sectors including retail, government, banking, healthcare, marketing, and others prefer using cloud analytics tools than conventional on-premise BI (business intelligence) solutions.

Key Benefits for Stkeholders

  • The report provides in-depth market analysis of the global big data analytics in healthcare market, outlining the current trends, key driving factors, and potential areas for investments.
  • The key players are analyzed with respect to their primary offerings, recent investments, and future development strategies.
  • Holistic approach of segmentation is carried out through an in-depth market study and discussions with the several industry expertise globally.
  • The report provides highlights of the top investment pockets, key impacting factors, and wining strategies for the big data analytics in healthcare industry.
  • Key player positioning is derived through consideration of industry penetration, product expansion, and strategic developments in the recent years.

Big Data Analytics In Healthcare Market Key Segments:

By Solution

  • Software
  • Service

By Deployment

  • On-premise
  • Cloud

By End User

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

By Geography

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

The Key Players Profiled in the Report are as follows:

  • Cisco Systems Inc.
  • Cognizant
  • Health Catalyst
  • IBM Corporation
  • McKesson Corporation
  • MEDEANALYTICS, Inc.
  • Microsoft Corportion
  • Oracle Corporation
  • SAS Institute Inc.
  • Vizient, Inc.
 

Chapter: 1 INTRODUCTION

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

1.3.1. Primary research
1.3.2. Secondary research
1.3.3. Analyst tools and models
1.3.4. Market segmentation

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

3.2.3.1. Surge in the demand for analytics solutions for citizen health management
3.2.3.2. Increase in the adoption of cloud analytics among several end users
3.2.3.3. Growing need for business intelligence to optimize health administration and strategy
3.2.3.4. Lack of IT infrastructure in underdeveloped nations
3.2.3.5. Growing inclination towards cloud-based analytics solutions

3.3. PORTER’S FIVE FORCES ANALYSIS

3.3.1. Bargaining power of suppliers
3.3.2. Bargaining power of buyers
3.3.3. Threat of substitutes
3.3.4. Threat of new entrants
3.3.5. Competitive rivalry

3.4. PLAYER POSITIONING
3.5. MARKET DYNAMICS

3.5.1. Drivers

3.5.1.1. Surge in the demand for analytics solutions for citizen health management
3.5.1.2. Increase in adoption of cloud analytics among several end users
3.5.1.3. Growing need for business intelligence to optimize health administration and strategy
3.5.1.4. Growth in IoT adoption across several industry verticals

3.5.2. Restraints

3.5.2.1. Lack of IT infrastructure in underdeveloped nations

3.5.3. Opportunities

3.5.3.1. Growing inclination towards cloud-based analytics solutions
3.5.3.2. Surge in the adoption of big data analytics among user groups

Chapter: 4 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SOLUTION

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

4.3. SERVICE

4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast

Chapter: 5 GLOBAL 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

5.3. CLOUD

5.3.1. Key market trends
5.3.2. Key growth factors and opportunities
5.3.3. Market size and forecast

Chapter: 6 GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER

6.1. OVERVIEW
6.2. HOSPITALS AND CLINICS

6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast

6.3. FINANCE & INSURANCE AGENCIES

6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast

6.4. RESEARCH ORGANIZATIONS

6.4.1. Key market trends
6.4.2. Key growth factors and opportunities
6.4.3. Market size and forecast

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

7.1. OVERVIEW
7.2. NORTH AMERICA

7.2.1. Key trends
7.2.2. Key growth factors and opportunities
7.2.3. Market size and forecast
7.2.4. U.S.
7.2.5. Canada
7.2.6. Mexico

7.3. EUROPE

7.3.1. Key market trends
7.3.2. Key growth factors and opportunities
7.3.3. Market size and forecast
7.3.4. UK
7.3.5. Germany
7.3.6. France
7.3.7. Italy
7.3.8. Rest of Europe

7.4. ASIA-PACIFIC

7.4.1. Key market trends
7.4.2. Key growth factors and opportunities
7.4.3. Market size and forecast
7.4.4. China
7.4.5. Singapore
7.4.6. Japan
7.4.7. Australia
7.4.8. Rest of Asia-Pacific

7.5. LAMEA

7.5.1. Key market trends
7.5.2. Key growth factors and opportunities
7.5.3. Market size and forecast
7.5.4. Latin America
7.5.5. The Middle East
7.5.6. Africa

Chapter: 8 COMPANY PROFILES

8.1. CISCO SYSTEMS INC.

8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Business performance
8.1.5. Key strategic moves & developments

8.2. COGNIZANT

8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Business performance
8.2.5. Key strategic moves & developments

8.3. HEALTH CATALYST

8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Operating business segments
8.3.4. Business performance
8.3.5. Key strategic moves & developments

8.4. IBM CORPORATION

8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Operating business segments
8.4.4. Business performance
8.4.5. Key strategic moves & developments

8.5. MCKESSON CORPORATION

8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Operating business segments
8.5.4. Business performance
8.5.5. Key strategic moves & developments

8.6. MEDEANALYTICS, INC.

8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Business performance
8.6.5. Key strategic moves & developments

8.7. MICROSOFT CORPORTION

8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Business performance
8.7.5. Key strategic moves & developments

8.8. ORACLE CORPORATION

8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating business segments
8.8.4. Business performance
8.8.5. Key strategic moves & developments

8.9. SAS INSTITUTE INC.

8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Business performance
8.9.5. Key strategic moves & developments

8.10. VIZIENT, INC.

8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Business performance
8.10.5. Key strategic moves & developments

LIST OF TABLES

TABLE 1. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY SOLUTION, 2016-2023 ($MILLION)
TABLE 2. SOFTWARE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 3. SERVICE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 4. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY DEPLOYMENT, 2016-2023 ($MILLION)
TABLE 5. ON-PREMISE BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 6. CLOUD BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 7. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY END USER, 2016-2023 ($MILLION)
TABLE 8. HOSPITALS AND CLINICS BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 9. FINANCE & INSURANCE AGENCIES BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 10. RESEARCH ORGANIZATIONS BIG DATA ANALYTICS IN HEALTHCARE MARKET REVENUE, BY REGION, 2016-2023 ($MILLION)
TABLE 11. BIG DATA ANALYTICS IN HEALTHCARE MARKET BY REGION, 2016-2023 ($MILLION)
TABLE 12. NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET BY COUNTRY, 2016-2023 ($MILLION)
TABLE 13. EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET BY COUNTRY, 2016-2023 ($MILLION)
TABLE 14. ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET BY COUNTRY, 2016-2023 ($MILLION)
TABLE 15. LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET BY REGION, 2016-2023 ($MILLION)
TABLE 16. CISCO SYSTEMS INC.: COMPANY SNAPSHOT
TABLE 17. CISCO SYSTEMS INC.: OPERATING SEGMENTS
TABLE 18. COGNIZANT: COMPANY SNAPSHOT
TABLE 19. COGNIZANT: OPERATING SEGMENTS
TABLE 20. HEALTH CATALYST: COMPANY SNAPSHOT
TABLE 21. HEALTH CATALYST: OPERATING SEGMENTS
TABLE 22. IBM CORPORATION: COMPANY SNAPSHOT
TABLE 23. IBM CORPORATION: OPERATING SEGMENTS
TABLE 24. MCKESSON CORPORATION: COMPANY SNAPSHOT
TABLE 25. MCKESSON CORPORATION: OPERATING SEGMENTS
TABLE 26. MEDEANALYTICS, INC.: COMPANY SNAPSHOT
TABLE 27. MEDEANALYTICS, INC.: OPERATING SEGMENTS
TABLE 28. MICROSOFT CORPORTION: COMPANY SNAPSHOT
TABLE 29. MICROSOFT CORPORTION: OPERATING SEGMENTS
TABLE 30. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 31. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 32. SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 33. SAS INSTITUTE INC.: OPERATING SEGMENTS
TABLE 34. VIZIENT, INC.: COMPANY SNAPSHOT
TABLE 35. VIZIENT, INC.: OPERATING SEGMENTS

LIST OF FIGURES

FIGURE 1. MARKET SEGMENTATION: BIG DATA ANALYTICS IN HEALTHCARE MARKET
FIGURE 2. TOP WINNING STRATEGIES, 2015-2017 (%)
FIGURE 3. TOP WINNING STRATEGIES, 2015-2017
FIGURE 4. TOP INVESTMENT POCKETS
FIGURE 5. TOP IMPACTING FACTORS
FIGURE 6. LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 7. MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 8. LOW THREAT OF SUBSTITUTES
FIGURE 9. HIGH THREAT OF NEW ENTRANTS
FIGURE 10. HIGH COMPETITIVE RIVALRY
FIGURE 11. PLAYER POSTIONING, 2016
FIGURE 12. DRIVERS, RESTRAINTS, AND OPPORTUNITIES
FIGURE 13. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY SOLUTION
FIGURE 14. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT
FIGURE 15. GLOBAL BIG DATA ANALYTICS IN HEALTHCARE MARKET, BY END USER
FIGURE 16. BIG DATA ANALYTICS IN HEALTHCARE MARKET BY REGION, MARKET SHARE AND CAGR
FIGURE 17. NORTH AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 18. U.S. BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 19. CANADA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 20. MEXICO BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 21. EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 22. UK BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 23. GERMANY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 24. FRANCE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 25. ITALY BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 26. REST OF EUROPE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 27. ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 28. CHINA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 29. SINGAPORE BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 30. JAPAN BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 31. AUSTRALIA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 (MILLION)
FIGURE 32. REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 33. LAMEA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 34. LATIN AMERICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 35. MIDDLE EAST BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 36. AFRICA BIG DATA ANALYTICS IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 37. CISCO SYSTEMS INC.: REVENUE, 2014-2016 ($MILLION)
FIGURE 38. COGNIZANT: REVENUE, 2014-2016 ($MILLION)
FIGURE 39. HEALTH CATALYST: REVENUE, 2014-2016 ($MILLION)
FIGURE 40. IBM CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 41. MCKESSON CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 42. MEDEANALYTICS, INC.: REVENUE, 2014-2016 ($MILLION)
FIGURE 43. MICROSOFT CORPORTION: REVENUE, 2014-2016 ($MILLION)
FIGURE 44. ORACLE CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 45. SAS INSTITUTE INC.: REVENUE, 2014-2016 ($MILLION)
FIGURE 46. VIZIENT, INC.: REVENUE, 2014-2016 ($MILLION)
 

The global big data analytics in healthcare market was valued at $10,725 million in 2016, and is estimated to reach $36,093 million by 2023 at a CAGR of 19.1% during the forecast period. Growth in demand for analytics solution for citizen health management, increase in adoption of cloud analytics among several end users, and rise in need for business intelligence to optimize health administration are anticipated to drive the global big data analytics in healthcare market. However, lack of IT infrastructure in underdeveloped regions, including Africa, Middle East, and Latin America, and data security concerns over cloud deployment are expected to hinder the market growth.

In the recent years, adoption of big data analytics in healthcare has increased among hospitals, clinics, finance & insurance agencies, and research organizations. Strong demand for low-cost data analysis, owing to huge data storage and easy accessibility, has enhanced the big data analytics in healthcare market. Moreover, cloud deployment has emerged as a primary deployment among end users in big data analytics in healthcare market for efficient operations and business processes.

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, and these regions are anticipated to increase at a significant rate, owing to strong government support and increase in cloud adoption among the end users.

The key players profiled in this report are Microsoft Corporation, Oracle Corporation, Cisco Systems Inc., SAS Institute Inc., IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., McKesson Corporation, and Vizient, Inc. These companies have adopted strategies, such as business expansion, product innovation, strategic partnerships, and merger & acquisition, to increase their market shares and expand their geographical presence.

Finance & insurance agencies witness technology implementation of big data analytics in healthcare market, due to growth in demand for big data analytics for decision making on health insurance policies and financial investment in the healthcare sector. In addition, healthcare big data analytics has enhanced the market reach of finance & insurance sector through various business intelligence and analytics solutions such as predictive modelling, critical disease analysis, claim analysis, hospitalization mapping, medication & therapy analysis, and others.

 

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