Big Data in Healthcare Market Research Report - Global Forecast to 2027

Global Big Data in Healthcare Market Research Report, by Hardware (Routers, VPNs), by Software (EHR, Practice Management), by Analytical service type (Descriptive, Predictive, Prescriptive) by region (Europe, Americas, APAC & MEA) - Forecast to 2027

ID: MRFR/HCIT/0307-CR | June 2016 | Region: Global | 145 pages

Covid-19 Impact Analysis of Big data in the Healthcare Market


Conventionally the data created by the healthcare industry was stored in hard copy format and this data has the competency to support a wide range of healthcare and medical functions. The digitization of such data is known as big data. Big data is broadly used in the healthcare sector to manage a large amount of data generated from various healthcare processes. It includes clinical data, clinical decision support systems, medical imaging, laboratory, pharmacy, insurance, and other administrative records. It uses specific health data of a population and potentially helps to prevent epidemics, cure disease, cut down costs, etc.     


COVID-19 has reached its peak and with it, the world is facing consequences that are very severe and disturbing. The whole world is witnessing daily reports representing outbreak and fatality curves on a worldwide and country level. Big data is proving helpful to scientists, healthcare workers, epidemiologists, and policymakers in data collection. Thus, helping in analyzing the spread and impact of COVID-19 on the world and strategic planning for the future. When other industries are facing significant losses due to the disturbance and uncertainty in business due to the lockdown, healthcare big data sector is showing promising growth during this hard time. Various healthcare facilities and service providers are using big data to analyze the current situation and its impact on the economy and business.


Additionally, big data companies are working in collaboration with various government entities, research organizations, and industries to provide them access to innovative AI tools along with the experts in data and public health to help combat COVID-19. This is expected to provide opportunities for big data companies to expand their operations to the developing healthcare markets including Asia-pacific countries and introduce the benefits of big data in the healthcare industry. Also, big data is proving useful in maintaining clinical trial data, medical research data, and data related to the ongoing development of the drugs. Major pharmaceutical companies are conducting clinical trials on COVID-19 and big data is playing an important role in the fast transfer of clinical trial data. For instance, according to the data published by the US Department of Health and Human Services, as of now more than 1000 clinical trials are in progress to find a cure on COVID-19. To process, this amount of information, big data tools are used by various healthcare companies.


On the other side, major markets such as the US, Germany, the UK, France, and Japan are hugely impacted by Covid-19 and most of the commercial operations are disturbed by the pandemic hit. Major players in the big data sector might face economic loss due to the lockdown. Lockdown is responsible for closing down operations of big data clients and result in loss of business for upcoming months. It is expected to continue till August 2020 and after that, the business will resume full operational capacity. Moreover, it will also result in the reduction of technological goods and services by corporate and federal customers due to budget constraints.


Impact of Covid-19 on IT Budgets
Impact of Covid-19


Source: MRFR Analysis, Enterprise Technology Research (ETR)


This COVID-19 pandemic has posed various challenges to the global healthcare community and for these challenges, digital health systems serve as well suited solutions to this public health emergency. These include the development of robust surveillance systems, wider penetration of wearable for tracking of physiological parameters, telehealth, novel diagnostic and clinical decision-making tools, and development of interactive chat services for public dissemination of COVID-19 related information. Big data in healthcare would help in providing suitable answers for better functioning of the above-mentioned systems.

1 INTRODUCTION

1.1 DEFINITION

1.2 SCOPE OF THE STUDY

1.2.1 RESEARCH OBJECTIVE

1.2.2 ASSUMPTIONS

1.2.3 LIMITATIONS

1.3 MARKET STRUCTURE

2 RESEARCH METHODOLOGY

2.1 RESEARCH PROCESS

2.2 PRIMARY RESEARCH

2.3 SECONDARY RESEARCH

2.4 MARKET SIZE ESTIMATION

2.5 FORECAST MODEL

3 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: OVERVIEW

3.1 INTRODUCTION

3.1.1 DEFINITION

3.1.2 MARKET SEGMENTATION

3.1.2.1 MARKET SEGMENTATION ON THE BASIS OF HARDWARE

3.1.2.2 MARKET SEGMENTATION ON THE BASIS OF SOFTWARE

3.1.2.3 MARKET SEGMENTATION ON THE BASIS OF ANALYTIC SERVICE TYPES

3.1.2.3 MARKET SEGMENTATION ON THE BASIS OF ANALYTIC SERVICE APPLICATIONS

4 MARKET DYNAMICS

4.1 DRIVERS

4.1.1 GOVERNMENT INITIATIVES

4.2 RESTRAINTS

4.2.1 LACK OF INTEROPERABILITY AMONG BIG DATA SOURCE GENERATORS

4.3 OPPORTUNITIES

4.3.1 BIG DATA TO STRENGTHEN PRECISION MEDICINE

4.4 MEGA TRENDS

4.4.1 TECHNOLOGICAL DEVELOPMENTS

4.5 MACROECONOMIC INDICATORS

4.6 IMPORTANT POINTERS BY INDUSTRY EXPERTS

4.6.1 ASIA-PACIFIC AS FASTEST GROWING MARKET

4.6.2 GROWTH PROSPECTS

5 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY ANALYSIS

5.1 REGULATIONS, CONSORTIUMS, PATENTS, AND STANDARDS

5.1.1 REGULATIONS /REGULATORY BODIES

5.1.2 CONSORTIUMS

5.1.3 PATENTS

5.1.4 STANDARDS

5.2 VALUE CHAIN ANALYSIS

5.3 BIG DATA USERS IN THE HEALTHCARE INDUSTRY

5.4 BIG DATA ANALYTICS IN THERAPEUTICS

6 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: PORTER'S 5 FORCES ANALYSIS

6.1 THREAT OF NEW ENTRANTS

6.2 THREAT OF SUBSTITUTES PRODUCTS OR SERVICES

6.3 BARGAINING POWER OF BUYERS/CUSTOMER

6.4 BARGAINING POWER OF SUPPLIERS

6.5 DEGREE OF COMPETITION

7 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: MARKET VALUE & VOLUME FORECAST (2020-2027) (US $ MILLION)

7.1 Y-O-Y GROWTH PROJECTIONS

7.2 OPPORTUNITY ANALYSIS

7.3 MARKET SHARE ANALYSIS

8 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: BY HARDWARE

8.1 INTRODUCTION

8.2 Y-O-Y GROWTH PROJECTIONS

8.3 MARKET SIZE BY PRODUCT TYPE

8.3.1 ROUTERS

8.3.2 FIREWALLS

8.3.3 VIRTUAL PRIVATE NETWORK (VPN)

8.3.4 DATA STORAGE

8.3.4.1 DATA CENTERS/STORAGE ON PREMISE

8.3.4.2 STORAGE ON CLOUD/STORAGE ON DEMAND

8.3.5 EMAIL SERVERS

8.3.6 WIRELESS ACCESS POINTS

9 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: BY SOFTWARE TYPE

9.1 INTRODUCTION

9.2 Y-O-Y GROWTH PROJECTIONS

9.3 MARKET SIZE BY APPLICATION

9.3.1 ELECTRONIC HEALTH RECORD (EHR) SOFTWARE

9.3.2 PRACTICE MANAGEMENT SOFTWARE

9.3.3 REVENUE CYCLE MANAGEMENT SOFTWARE

9.3.4 WORKFORCE MANAGEMENT SOFTWARE

9.3.5 OTHERS

10 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: BY ANALYTIC SERVICE TYPE

10.1 INTRODUCTION

10.2 Y-O-Y GROWTH PROJECTIONS

10.3 MARKET SIZE BY APPLICATION

10.3.1 DESCRIPTIVE ANALYTICS

10.3.2 PREDICTIVE ANALYTICS

10.3.3 PRESCRIPTIVE ANALYTICS

11 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: BY ANALYTIC SERVICE APPLICATIONS

11.1 INTRODUCTION

11.2 Y-O-Y GROWTH PROJECTIONS

11.3 MARKET SIZE BY APPLICATION

11.3.1 CLINICAL DATA ANALYTICS

11.3.2 FINANCIAL ANALYTICS

11.3.3 OPERATIONAL ANALYTICS

12 GLOBAL BIG DATA IN HEALTHCARE INDUSTRY: BY COUNTRY

12.1 INTRODUCTION

12.2 Y-O-Y GROWTH PROJECTIONS BY APPLICATIONS

12.3 MARKET SIZE BY REGION

12.3.1 AMERICAS

12.3.1.1 NORTH AMERICA

12.3.1.1.1 US

12.3.1.1.2 CANADA

12.3.1.2 LATIN AMERICA

12.3.1.2.1 ARGENTINA

12.3.1.2.2 BRAZIL

12.3.1.2.3 MEXICO

12.3.1.2.4 LATAM

12.4.1 EUROPE

12.4.1.1 WESTERN EUROPE

12.4.1.1.1 GERMANY

12.4.1.1.2 FRANCE

12.4.1.1.3 ITALY

12.4.1.1.4 SPAIN

12.4.1.1.5 UK

12.4.1.1.6 REST OF WESTERN EUROPE

12.5.1.2 EASTERN EUROPE

12.5.1.2.1 POLAND

12.5.1.2.2 RUSSIA

12.6.1 ASIA-PACIFIC

12.6.1.1 ASIA

12.6.1.1.1 CHINA

12.6.1.1.2 INDIA

12.6.1.1.3 JAPAN

12.6.1.1.4 SOUTH KOREA

12.6.1.1.5 REST OF ASIA

12.6.1.2 PACIFIC

12.6.1.2.1 AUSTRALIA

12.6.1.2.2 NEW ZEALAND

12.7.1 MIDDLE EAST & AFRICA

12.7.1.1 MIDDLE EAST

12.7.1.2 AFRICA

13 COMPANY LANDSCAPE

11.1 INTRODUCTION: KEY PLAYERS

11.2 COMPETITIVE/STRATEGIC SCENARIO

12.2.1 MERGERS ACQUISITIONS

12.2.2 COLLABORATIONS

12.2.3 EXPANSION

12.2.4 NEW PRODUCT LAUNCHES

11.3 MARKET SHARE ANALYSIS

14 COMPANY PROFILE

13.1 MCKESSON

13.1.1 COMPANY OVERVIEW

13.1.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.1.3 GEOGRAPHICAL PRESENCE

13.1.4 FINANCIAL UPDATES

13.1.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.1.6 KEY CUSTOMERS

13.1.7 KEY DEVELOPMENTS

13.1.8 CONTACT INFORMATION

13.2 COGNIZANT

13.2.1 COMPANY OVERVIEW

13.2.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.2.3 GEOGRAPHICAL PRESENCE

13.2.4 FINANCIAL UPDATES

13.2.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.2.6 KEY CUSTOMERS

13.2.7 KEY DEVELOPMENTS

13.2.8 CONTACT INFORMATION

13.3 EPIC SYSTEM CORPORATION

13.3.1 COMPANY OVERVIEW

13.3.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.3.3 GEOGRAPHICAL PRESENCE

13.3.4 FINANCIAL UPDATES

13.3.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.3.6 KEY CUSTOMERS

13.3.7 KEY DEVELOPMENTS

13.3.8 CONTACT INFORMATION

13.4 CERNER CORPORATION

13.4.1 COMPANY OVERVIEW

13.4.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.4.3 GEOGRAPHICAL PRESENCE

13.4.4 FINANCIAL UPDATES

13.4.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.4.6 KEY CUSTOMERS

13.4.7 KEY DEVELOPMENTS

13.4.8 CONTACT INFORMATION

13.5 DELL

13.5.1 COMPANY OVERVIEW

13.5.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.5.3 GEOGRAPHICAL PRESENCE

13.5.4 FINANCIAL UPDATES

13.5.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.5.6 KEY CUSTOMERS

13.5.7 KEY DEVELOPMENTS

13.5.8 CONTACT INFORMATION

13.6 GE HEALTHCARE

13.6.1 COMPANY OVERVIEW

13.6.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.6.3 GEOGRAPHICAL PRESENCE

13.6.4 FINANCIAL UPDATES

13.6.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.6.6 KEY CUSTOMERS

13.6.7 KEY DEVELOPMENTS

13.6.8 CONTACT INFORMATION

13.7 OPTUM

13.7.1 COMPANY OVERVIEW

13.7.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.7.3 GEOGRAPHICAL PRESENCE

13.7.4 FINANCIAL UPDATES

13.7.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.7.6 KEY CUSTOMERS

13.7.7 KEY DEVELOPMENTS

13.7.8 CONTACT INFORMATION

13.8 SIEMENS

13.8.1 COMPANY OVERVIEW

13.8.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.8.3 GEOGRAPHICAL PRESENCE

13.8.4 FINANCIAL UPDATES

13.8.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.8.6 KEY CUSTOMERS

13.8.7 KEY DEVELOPMENTS

13.8.8 CONTACT INFORMATION

13.9 PHILIPS

13.9.1 COMPANY OVERVIEW

13.9.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.9.3 GEOGRAPHICAL PRESENCE

13.9.4 FINANCIAL UPDATES

13.9.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.9.6 KEY CUSTOMERS

13.9.7 KEY DEVELOPMENTS

13.9.8 CONTACT INFORMATION

13.10 XEROX

13.10.1 COMPANY OVERVIEW

13.10.2 PRODUCT/BUSINESS SEGMENT OVERVIEW

13.10.3 GEOGRAPHICAL PRESENCE

13.10.4 FINANCIAL UPDATES

13.10.5 KEY ACQUISITIONS-REASONS & STRATEGY

13.10.6 KEY CUSTOMERS

13.10.7 KEY DEVELOPMENTS

13.10.8 CONTACT INFORMATION