Market Overview:
The global healthcare big data analytics market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data analytics solutions in the healthcare sector, owing to the growing need for improved patient care and better decision-making. In addition, factors such as rising incidence of chronic diseases and increasing adoption of cloud-based solutions are also contributing to the growth of this market. On the basis of type, the global healthcare big data analytics market is segmented into hardware and software. The software segment is further sub-segmented into business intelligence (BI) tools, data mining tools, predictive analysis tools, and others (text analysis tools, OLAP cubes). The hardware segment includes servers/computers, storage devices (hard disk drives [HDDs], solid state drives [SSDs]), networking equipment (routers/switches), and others (memory modules). On the basis of application, hospitals are expected to account for a major share of this market in 2018.
Product Definition:
Healthcare big data analytics is the process of analyzing large data sets in order to identify patterns and trends that can improve patient care. By identifying ways to improve care, healthcare organizations can save money and provide a better experience for patients.
Hardware:
Hardware is the part of technology used in healthcare big data analytics. It includes computer hardware and software used for processing, storing, and transmitting information. Hardware is an important aspect of big data analytics as it helps to store large amounts of patient-related information generated through electronic health records (EHR), radiology images, pharmacy sales records; which further help in generating insights about population behavior & trends by using analytical tools.
Software:
Software is any tangible or intangible tool or device used to achieve a desired objective. In the healthcare industry, software is used in various applications such as Electronic Health Records (EHR), medical billing and coding, clinical decision support systems, patient education materials; among others. The growing need for data integration across different departments of hospitals & clinics and rising adoption of cloud computing are some major factors driving the growth of Software and it's usage in Healthcare Big Data Analytics market.
Application Insights:
The others application segment accounted for the largest revenue share in 2017 and is expected to grow at a significant rate over the forecast period. This can be attributed to an increase in demand for data analytics in other applications such as laboratory information systems, medical imaging & pathology, pharmaceutical companies and public health agencies. The hospital application segment is also expected to witness lucrative growth during the forecast period owing to rising adoption of big data analytics solutions by hospitals across various applications such as financial, clinical, administrative and supply chain management.
Hospital-based clinics are adopting cloud computing services which offer flexible infrastructure with high scalability that helps them store huge volumes of patient records efficiently along with advanced technology that enables real-time communication between clinicians & patients. Furthermore, increasing penetration of smartphones has enabled these clinics to capture patients¢â‚¬â„¢ data through apps which further help improve their operational efficiency while reducing costs associated with paper documents or files.
Regional Analysis:
North America dominated the global market in 2017. The presence of key players, favorable government initiatives and increasing demand for advanced healthcare solutions are some of the factors responsible for its growth. For instance, in 2014, IBM collaborated with WellPoint to implement big data analytics across various areas such as care management and health outcomes.
Asia Pacific is expected to witness lucrative growth over the forecast period owing to rising investments from governments as well as private companies towards development of healthcare IT infrastructure coupled with growing awareness among people regarding early diagnosis leading to better treatment options resulting improved health outcomes which ultimately drives market demand.
Growth Factors:
- Increasing demand for personalized medicine
- Growing geriatric population
- Rising prevalence of chronic diseases
- Proliferation of digital health technologies
- Government initiatives to promote big data analytics in healthcare
Scope Of The Report
Report Attributes
Report Details
Report Title
Healthcare Big Data Analytics Market Research Report
By Type
Hardware, Software
By Application
Hospital, Clinics, Diagnostic Centers, Others
By Companies
IBM, Cerner, Cognizant, Dell, Epic System, GE Healthcare, McKesson, Optum, Philips
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
149
Number of Tables & Figures
105
Customization Available
Yes, the report can be customized as per your need.
Global Healthcare Big Data Analytics Market Report Segments:
The global Healthcare Big Data Analytics market is segmented on the basis of:
Types
Hardware, Software
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Hospital, Clinics, Diagnostic Centers, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Cerner
- Cognizant
- Dell
- Epic System
- GE Healthcare
- McKesson
- Optum
- Philips
Highlights of The Healthcare Big Data Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Hardware
- Software
- By Application:
- Hospital
- Clinics
- Diagnostic Centers
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Healthcare Big Data Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Healthcare big data analytics is the process of using advanced data analysis techniques to improve patient care. Healthcare big data analytics can help identify patterns and trends in patient information, which can then be used to make better decisions about treatment and care. Healthcare big data analytics can also help doctors diagnose diseases more quickly and accurately, and recommend treatments that are most likely to be effective.
Some of the major companies in the healthcare big data analytics market are IBM, Cerner, Cognizant, Dell, Epic System, GE Healthcare, McKesson, Optum, Philips.
The healthcare big data analytics market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Healthcare Big Data Analytics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Healthcare Big Data Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Healthcare Big Data Analytics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Healthcare Big Data Analytics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Healthcare Big Data Analytics Market Size & Forecast, 2020-2028
4.5.1 Healthcare Big Data Analytics Market Size and Y-o-Y Growth
4.5.2 Healthcare Big Data Analytics Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Hardware
5.2.2 Software
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Hospital
6.2.2 Clinics
6.2.3 Diagnostic Centers
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Healthcare Big Data Analytics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Healthcare Big Data Analytics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Hardware
9.6.2 Software
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Hospital
9.10.2 Clinics
9.10.3 Diagnostic Centers
9.10.4 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Hardware
10.6.2 Software
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Hospital
10.10.2 Clinics
10.10.3 Diagnostic Centers
10.10.4 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Hardware
11.6.2 Software
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Hospital
11.10.2 Clinics
11.10.3 Diagnostic Centers
11.10.4 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Hardware
12.6.2 Software
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Hospital
12.10.2 Clinics
12.10.3 Diagnostic Centers
12.10.4 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Hardware
13.6.2 Software
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Hospital
13.10.2 Clinics
13.10.3 Diagnostic Centers
13.10.4 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Healthcare Big Data Analytics Market: Competitive Dashboard
14.2 Global Healthcare Big Data Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Cerner
14.3.3 Cognizant
14.3.4 Dell
14.3.5 Epic System
14.3.6 GE Healthcare
14.3.7 McKesson
14.3.8 Optum
14.3.9 Philips
