The global healthcare big data analytics market size reached US$ 36.8 Billion in 2022. Looking forward, the publisher expects the market to reach US$ 80.8 Billion by 2028, exhibiting a CAGR of 14.01% during 2022-2028.
Big data analytics is a type of advanced analytics which consists of a set of statistical algorithms and predictive models supported by high-performance analytics systems. With high-powered computing systems, these solutions offer several business benefits in the healthcare industry such as effective marketing, new revenue opportunities, better operational efficiency and improved patient care. At present, various healthcare organizations ranging from multi-provider groups and single-physician offices to large hospital networks are increasingly adopting big data analytics. This rise can be attributed to the multiple advantages of this service which include detecting healthcare fraud quickly and efficiently, and analyzing clinical trials and patient records.
In the coming years, the existing healthcare data volume is expected to grow significantly owing to the rapid change in healthcare reimbursement models. Owing to this, organizations in the industry are leveraging big data analytics to reduce inefficiency in clinical operations, research and development, and public healthcare. In clinical activities, these solutions help in conducting comparative effectiveness research for defining more cost-effective and clinically relevant ways for diagnosing and treating patients. Similarly, in research and development, big data analytics enables operators to create predictive models for lowering attrition and producing more targeted R&D pipeline in drugs and devices. Moreover, big data analytics helps in analyzing and tracking disease patterns, outbreaks and transmission for improving public health surveillance. Such benefits and advantages are currently driving the demand for big data analytics market in the healthcare industry.
2. What is the expected growth rate of the global healthcare big data analytics market during 2023-2028?
3. What has been the impact of COVID-19 on the global healthcare big data analytics market?
4. What are the key factors driving the global healthcare big data analytics market?
5. What is the breakup of the global healthcare big data analytics market based on the component?
6. What is the breakup of the global healthcare big data analytics market based on the analytics type?
7. What is the breakup of the global healthcare big data analytics market based on the delivery model?
8. What is the breakup of the global healthcare big data analytics market based on the application?
9. What is the breakup of the global healthcare big data analytics market based on the end-user?
10. What are the key regions in the global healthcare big data analytics market?
11. Who are the key players/companies in the global healthcare big data analytics market?
Big data analytics is a type of advanced analytics which consists of a set of statistical algorithms and predictive models supported by high-performance analytics systems. With high-powered computing systems, these solutions offer several business benefits in the healthcare industry such as effective marketing, new revenue opportunities, better operational efficiency and improved patient care. At present, various healthcare organizations ranging from multi-provider groups and single-physician offices to large hospital networks are increasingly adopting big data analytics. This rise can be attributed to the multiple advantages of this service which include detecting healthcare fraud quickly and efficiently, and analyzing clinical trials and patient records.
In the coming years, the existing healthcare data volume is expected to grow significantly owing to the rapid change in healthcare reimbursement models. Owing to this, organizations in the industry are leveraging big data analytics to reduce inefficiency in clinical operations, research and development, and public healthcare. In clinical activities, these solutions help in conducting comparative effectiveness research for defining more cost-effective and clinically relevant ways for diagnosing and treating patients. Similarly, in research and development, big data analytics enables operators to create predictive models for lowering attrition and producing more targeted R&D pipeline in drugs and devices. Moreover, big data analytics helps in analyzing and tracking disease patterns, outbreaks and transmission for improving public health surveillance. Such benefits and advantages are currently driving the demand for big data analytics market in the healthcare industry.
Key Market Segmentation:
The publisher provides an analysis of the key trends in each sub-segment of the global healthcare big data analytics market report, along with forecasts at the global and regional level from 2023-2028. Our report has categorized the market based on component, analytics type, delivery model, application and end-user.Breakup by Component:
- Services
- Software
- Electronic Health Record Software
- Practice Management
- Workforce Management
- Hardware
- Data Storage
- Routers
- Firewalls
- Virtual Private Networks
- E-Mail Servers
- Others
Breakup by Analytics Type:
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Cognitive Analytics
Breakup by Delivery Model:
- On-Premise Delivery Model
- On-Demand Delivery Model
Breakup by Application:
- Financial Analytics
- Clinical Analytics
- Operational Analytics
- Others
Breakup by End-User:
- Hospitals and Clinics
- Finance and Insurance Agencies
- Research Organizations
Breakup by Region:
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- Latin America
Competitive Landscape:
The report has also analysed the competitive landscape of the market with some of the key players being Allscripts Healthcare, LLC, Cerner Corporation, International Business Machines Corporation (IBM), COTIVITI, INC., Oracle Corporation, Health Catalyst, Inovalon, Optum, Inc., CitiusTech Inc., McKesson Corporation, MEDEANALYTICS, INC., SAS Institute Inc., SCIO Health Analytics, Vitreoshealth, Wipro Limited, Cognizant Technology Solutions Corporation, Siemens Healthcare Private Limited, Hewlett-Packard Inc., Koninklijke Philips N.V., and GE Healthcare.Key Questions Answered in This Report
1. What was the size of the global healthcare big data analytics market in 2022?2. What is the expected growth rate of the global healthcare big data analytics market during 2023-2028?
3. What has been the impact of COVID-19 on the global healthcare big data analytics market?
4. What are the key factors driving the global healthcare big data analytics market?
5. What is the breakup of the global healthcare big data analytics market based on the component?
6. What is the breakup of the global healthcare big data analytics market based on the analytics type?
7. What is the breakup of the global healthcare big data analytics market based on the delivery model?
8. What is the breakup of the global healthcare big data analytics market based on the application?
9. What is the breakup of the global healthcare big data analytics market based on the end-user?
10. What are the key regions in the global healthcare big data analytics market?
11. Who are the key players/companies in the global healthcare big data analytics market?
Table of Contents
1 Preface2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Healthcare Big Data Analytics Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Breakup by Component
5.5 Market Breakup by Analytics Type
5.6 Market Breakup by Delivery Model
5.7 Market Breakup by Application
5.8 Market Breakup by End-User
5.9 Market Breakup by Region
5.10 Market Forecast
6 Market Breakup by Component
6.1 Service
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Software
6.2.1 Market Trends
6.2.2 Major Types
6.2.2.1 Electronic Health Record Software
6.2.2.2 Practice Management Software
6.2.2.3 Workforce Management Software
6.2.3 Market Forecast
6.3 Hardware
6.3.1 Market Trends
6.3.2 Major Types
6.3.2.1 Data Storage
6.3.2.2 Routers
6.3.2.3 Firewalls
6.3.2.4 Virtual Private Networks
6.3.2.5 E-Mail Servers
6.3.2.6 Others
6.3.3 Market Forecast
7 Market Breakup by Analytics Type
7.1 Descriptive Analytics
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Predictive Analytics
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Prescriptive Analytics
7.3.1 Market Trends
7.3.2 Market Forecast
7.4 Cognitive Analytics
7.4.1 Market Trends
7.4.2 Market Forecast
8 Market Breakup by Delivery Model
8.1 On-Premise Delivery Model
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 On-Demand Delivery Model
8.2.1 Market Trends
8.2.2 Market Forecast
9 Market Breakup by Application
9.1 Financial Analytics
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Clinical Analytics
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 Operational Analytics
9.3.1 Market Trends
9.3.2 Market Forecast
9.4 Others
9.4.1 Market Trends
9.4.2 Market Forecast
10 Market Breakup by End-User
10.1 Hospitals and Clinics
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 Finance and Insurance Agencies
10.2.1 Market Trends
10.2.2 Market Forecast
10.3 Research Organizations
10.3.1 Market Trends
10.3.2 Market Forecast
11 Market Breakup by Region
11.1 North America
11.1.1 Market Trends
11.1.2 Market Forecast
11.2 Europe
11.2.1 Market Trends
11.2.2 Market Forecast
11.3 Asia Pacific
11.3.1 Market Trends
11.3.2 Market Forecast
11.4 Middle East and Africa
11.4.1 Market Trends
11.4.2 Market Forecast
11.5 Latin America
11.5.1 Market Trends
11.5.2 Market Forecast
12 SWOT Analysis
12.1 Overview
12.2 Strengths
12.3 Weaknesses
12.4 Opportunities
12.5 Threats
13 Value Chain Analysis
14 Porter’s Five Forces Analysis
14.1 Overview
14.2 Bargaining Power of Buyers
14.3 Bargaining Power of Suppliers
14.4 Degree of Competition
14.5 Threat of New Entrants
14.6 Threat of Substitutes
15 Price Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Key Players
16.3 Profiles of Key Players
16.3.1 Allscripts Healthcare, LLC
16.3.2 Cerner Corporation
16.3.3 International Business Machines Corporation (IBM)
16.3.4 COTIVITI, INC.
16.3.5 Oracle Corporation
16.3.6 Health Catalyst
16.3.7 Inovalon
16.3.8 Optum, Inc.
16.3.9 CitiusTech Inc.
16.3.10 McKesson Corporation
16.3.11 MEDEANALYTICS, INC.
16.3.12 SAS Institute Inc.
16.3.13 SCIO Health Analytics
16.3.14 Vitreoshealth
16.3.15 Wipro Limited
16.3.16 Cognizant Technology Solutions Corporation
16.3.17 Siemens Healthcare Private Limited
16.3.18 Hewlett-Packard Inc.
16.3.19 Koninklijke Philips N.V.
16.3.20 GE Healthcare
List of Figures
Figure 1: Global: Healthcare Big Data Analytics Market: Major Drivers and Challenges
Figure 2: Global: Healthcare Big Data Analytics Market: Sales Value (in Billion US$), 2017-2022
Figure 3: Global: Healthcare Big Data Analytics Market: Breakup by Component (in %), 2022
Figure 4: Global: Healthcare Big Data Analytics Market: Breakup by Analytics Type (in %), 2022
Figure 5: Global: Healthcare Big Data Analytics Market: Breakup by Delivery Model (in %), 2022
Figure 6: Global: Healthcare Big Data Analytics Market: Breakup by Application (in %), 2022
Figure 7: Global: Healthcare Big Data Analytics Market: Breakup by End-User (in %), 2022
Figure 8: Global: Healthcare Big Data Analytics Market: Breakup by Region (in %), 2022
Figure 9: Global: Healthcare Big Data Analytics Market Forecast: Sales Value (in Billion US$), 2023-2028
Figure 10: Global: Healthcare Big Data Analytics Industry: SWOT Analysis
Figure 11: Global: Healthcare Big Data Analytics Industry: Value Chain Analysis
Figure 12: Global: Healthcare Big Data Analytics Industry: Porter’s Five Forces Analysis
Figure 13: Global: Healthcare Big Data Analytics (Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 14: Global: Healthcare Big Data Analytics (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 15: Global: Healthcare Big Data Analytics (Software) Market: Sales Value (in Million US$), 2017 & 2022
Figure 16: Global: Healthcare Big Data Analytics (Software) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 17: Global: Healthcare Big Data Analytics (Hardware) Market: Sales Value (in Million US$), 2017 & 2022
Figure 18: Global: Healthcare Big Data Analytics (Hardware) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 19: Global: Healthcare Big Data Analytics (Descriptive Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 20: Global: Healthcare Big Data Analytics (Descriptive Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 21: Global: Healthcare Big Data Analytics (Predictive Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 22: Global: Healthcare Big Data Analytics (Predictive Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 23: Global: Healthcare Big Data Analytics (Prescriptive Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 24: Global: Healthcare Big Data Analytics (Prescriptive Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 25: Global: Healthcare Big Data Analytics (Cognitive Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 26: Global: Healthcare Big Data Analytics (Cognitive Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 27: Global: Healthcare Big Data Analytics (On-Premise Delivery Model) Market: Sales Value (in Million US$), 2017 & 2022
Figure 28: Global: Healthcare Big Data Analytics (On-Premise Delivery Model) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 29: Global: Healthcare Big Data Analytics (On-Demand Delivery Model) Market: Sales Value (in Million US$), 2017 & 2022
Figure 30: Global: Healthcare Big Data Analytics (On-Demand Delivery Model) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 31: Global: Healthcare Big Data Analytics (Financial Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 32: Global: Healthcare Big Data Analytics (Financial Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 33: Global: Healthcare Big Data Analytics (Clinical Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 34: Global: Healthcare Big Data Analytics (Clinical Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 35: Global: Healthcare Big Data Analytics (Operational Analytics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 36: Global: Healthcare Big Data Analytics (Operational Analytics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 37: Global: Healthcare Big Data Analytics (Other Applications) Market: Sales Value (in Million US$), 2017 & 2022
Figure 38: Global: Healthcare Big Data Analytics (Other Applications) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 39: Global: Healthcare Big Data Analytics (Hospitals and Clinics) Market: Sales Value (in Million US$), 2017 & 2022
Figure 40: Global: Healthcare Big Data Analytics (Hospitals and Clinics) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 41: Global: Healthcare Big Data Analytics (Finance and Insurance Agencies) Market: Sales Value (in Million US$), 2017 & 2022
Figure 42: Global: Healthcare Big Data Analytics (Finance and Insurance Agencies) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 43: Global: Healthcare Big Data Analytics (Research Organizations) Market: Sales Value (in Million US$), 2017 & 2022
Figure 44: Global: Healthcare Big Data Analytics (Research Organizations) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 45: North America: Healthcare Big Data Analytics Market: Sales Value (in Million US$), 2017 & 2022
Figure 46: North America: Healthcare Big Data Analytics Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 47: Europe: Healthcare Big Data Analytics Market: Sales Value (in Million US$), 2017 & 2022
Figure 48: Europe: Healthcare Big Data Analytics Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 49: Asia Pacific: Healthcare Big Data Analytics Market: Sales Value (in Million US$), 2017 & 2022
Figure 50: Asia Pacific: Healthcare Big Data Analytics Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 51: Middle East and Africa: Healthcare Big Data Analytics Market: Sales Value (in Million US$), 2017 & 2022
Figure 52: Middle East and Africa: Healthcare Big Data Analytics Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 53: Latin America: Healthcare Big Data Analytics Market: Sales Value (in Million US$), 2017 & 2022
Figure 54: Latin America: Healthcare Big Data Analytics Market Forecast: Sales Value (in Million US$), 2023-2028
List of Tables
Table 1: Global: Healthcare Big Data Analytics Market: Key Industry Highlights, 2022 and 2028
Table 2: Global: Healthcare Big Data Analytics Market Forecast: Breakup by Component (in Million US$), 2023-2028
Table 3: Global: Healthcare Big Data Analytics Market Forecast: Breakup by Analytics Type (in Million US$), 2023-2028
Table 4: Global: Healthcare Big Data Analytics Market Forecast: Breakup by Delivery Model (in Million US$), 2023-2028
Table 5: Global: Healthcare Big Data Analytics Market Forecast: Breakup by Application (in Million US$), 2023-2028
Table 6: Global: Healthcare Big Data Analytics Market Forecast: Breakup by End-User (in Million US$), 2023-2028
Table 7: Global: Healthcare Big Data Analytics Market Forecast: Breakup by Region (in Million US$), 2023-2028
Table 8: Global: Healthcare Big Data Analytics Market Structure
Table 9: Global: Healthcare Big Data Analytics Market: Key Players
Companies Mentioned
- Allscripts Healthcare
- LLC
- Cerner Corporation
- International Business Machines Corporation (IBM)
- COTIVITI
- INC.
- Oracle Corporation
- Health Catalyst
- Inovalon
- Optum
- Inc.
- CitiusTech Inc.
- McKesson Corporation
- MEDEANALYTICS
- INC.
- SAS Institute Inc.
- SCIO Health Analytics
- Vitreoshealth
- Wipro Limited
- Cognizant Technology Solutions Corporation
- Siemens Healthcare Private Limited
- Hewlett-Packard Inc.
- Koninklijke Philips N.V.
- and GE Healthcare.
Methodology
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