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Global Big Data in Healthcare Market Report and Forecast 2024-2032
Market Report (7 days) I 2024-02-06 I 140 Pages I EMR Inc.
Global Big Data in Healthcare Market Report and Forecast 2024-2032
Global Big Data in Healthcare Market Outlook
The global big data in healthcare market size was valued at USD 34 billion in 2023, driven by rising prevalence for predictive analytics across the globe. The market size is anticipated to grow at a CAGR of 14% during the forecast period of 2024-2032 to achieve a value of USD 110.4 billion by 2032.
Big Data in Healthcare: Introduction
Big Data in healthcare refers to the vast amounts of health-related data collected from various sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, and medical devices. This data is analyzed to uncover insights that can improve patient outcomes, enhance operational efficiency, predict epidemics, support clinical decisions, and personalize medical treatments. By leveraging advanced analytics, machine learning, and artificial intelligence, healthcare providers can make more informed decisions, leading to better care and reduced costs.
Key Trends in the Global Big Data in Healthcare Market
The use of predictive analytics is growing, enabling healthcare providers to anticipate patient deterioration, predict disease outbreaks, and improve patient outcomes through proactive care.
Big Data is facilitating the shift towards personalized medicine, where treatments and healthcare plans are tailored to individual genetic profiles, lifestyle, and health history.
There's an increasing focus on interoperability and the integration of disparate data sources, including EHRs, patient-generated data, and genomic data, to create a more comprehensive view of patient health.
The integration of AI and machine learning technologies with Big Data is accelerating, offering advanced diagnostics, treatment recommendations, and operational efficiencies in healthcare settings.
As the volume of healthcare data grows, so does the focus on ensuring data privacy and security. Regulatory compliance and the development of secure data-sharing frameworks are key priorities.
The expansion of telehealth and remote patient monitoring generates vast amounts of data, contributing to more dynamic and real-time patient care models.
Big Data is increasingly used for population health management, aiding in the identification of health trends, risk factors, and the development of targeted intervention programs.
Healthcare organizations are leveraging Big Data to optimize operations, reduce waste, and lower costs, while maintaining or improving care quality.
Global Big Data in Healthcare Market Segmentation
Market Breakup by Components
- Software
o Electronic Health Record Software
o Practice Management
o Workforce Management
- Services
Market Breakup by Mode of Deployment
- On - Premises
- Cloud
Market Breakup by Analytics Type
- Descriptive
- Predictive
- Prescriptive
Market Breakup by Applications
- Clinical Data Analytics
- Financial Analytics
- Operational Analytics
Market Breakup by End User
- Hospitals and Clinics
- Finance and Insurance Agencies
- Research Organizations
- Others
Market Breakup by Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Global Big Data in Healthcare Market Overview
In North America, the Big Data in healthcare market is highly advanced, driven by technological innovation, widespread adoption of electronic health records (EHRs), and significant investments in health IT infrastructure. The region leads in the application of analytics and artificial intelligence (AI) to improve patient care, operational efficiency, and personalized medicine. Regulatory frameworks and initiatives promoting data sharing and privacy protection also shape the market dynamics.
Europe's market benefits from strong healthcare systems, robust data protection regulations like the GDPR, and a focus on research and innovation. There's a growing emphasis on interoperability and the secure exchange of health information across borders, facilitating the use of Big Data for public health monitoring, clinical research, and personalized healthcare. Collaborative projects and funding at the EU level support advancements in health data analytics.
The Asia-Pacific region exhibits rapid growth in the Big Data in healthcare market, driven by increasing healthcare digitization, rising investments in healthcare infrastructure, and a growing focus on telemedicine and mobile health applications. Countries like China, Japan, and South Korea are investing heavily in AI and machine learning to address healthcare challenges, improve disease surveillance, and enhance patient outcomes. However, the region faces challenges related to data standardization and integration.
Global Big Data in Healthcare Market: Competitor Landscape
The key features of the market report include patent analysis, grants analysis, clinical trials analysis, funding and investment analysis, partnerships, and collaborations analysis by the leading key players.
- Allscripts Healthcare Solutions, Inc.
- Cerner Corp.
- Optum Inc.
- Premier, Inc.
- McKesson Corporation
- Hewlett Packard Enterprise (HPE)
- International Business Machines Corporation (IBM)
- Microsoft Corporation
- Oracle Corp.
- GE Healthcare
We at Expert Market Research always strive to provide you with the latest information. The numbers in the article are only indicative and may be different from the actual report.
1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage - Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Big Data in Healthcare Market Overview
3.1 Global Big Data in Healthcare Market Historical Value (2017-2023)
3.2 Global Big Data in Healthcare Market Forecast Value (2024-2032)
4 Global Big Data in Healthcare Market Landscape
4.1 Global Big Data in Healthcare Developers Landscape
4.1.1 Analysis by Year of Establishment
4.1.2 Analysis by Company Size
4.1.3 Analysis by Region
4.2 Global Big Data in Healthcare Product Landscape
4.2.1 Analysis by Type
4.2.2 Analysis by Component
4.2.3 Analysis by Applications
5 Global Big Data in Healthcare Market Dynamics
5.1 Market Drivers and Constraints
5.2 SWOT Analysis
5.3 Porter's Five Forces Model
5.4 Key Demand Indicators
5.5 Key Price Indicators
5.6 Industry Events, Initiatives, and Trends
5.7 Value Chain Analysis
6 Global Big Data in Healthcare Market Segmentation
6.1 Global Big Data in Healthcare Market by Components
6.1.1 Market Overview
6.1.2 Software
6.1.2.1 Electronic Health Record Software
6.1.2.2 Practice Management
6.1.2.3 Workforce Management
6.1.3 Services
6.2 Global Big Data in Healthcare Market by Mode of Deployment
6.2.1 Market Overview
6.2.2 On - Premises
6.2.3 Cloud
6.3 Global Big Data in Healthcare Market by Analytics Type
6.3.1 Market Overview
6.3.2 Descriptive
6.3.3 Predictive
6.3.4 Prescriptive
6.4 Global Big Data in Healthcare Market by Applications
6.4.1 Market Overview
6.4.2 Clinical Data Analytics
6.4.3 Financial Analytics
6.4.4 Operational Analytics
6.5 Global Big Data in Healthcare Market by End User
6.5.1 Market Overview
6.5.2 Hospitals and Clinics
6.5.3 Finance and Insurance Agencies
6.5.4 Research Organizations
6.5.5 Others
6.6 Global Big Data in Healthcare Market by Region
6.6.1 Market Overview
6.6.2 North America
6.6.3 Europe
6.6.4 Asia Pacific
6.6.5 Latin America
6.6.6 Middle East and Africa
7 North America Big Data in Healthcare Market
7.1 Market Share by Country
7.2 United States of America
7.3 Canada
8 Europe Big Data in Healthcare Market
8.1 Market Share by Country
8.2 United Kingdom
8.3 Germany
8.4 France
8.5 Italy
8.6 Others
9 Asia Pacific Big Data in Healthcare Market
9.1 Market Share by Country
9.2 China
9.3 Japan
9.4 India
9.5 ASEAN
9.6 Others
10 Latin America Big Data in Healthcare Market
10.1 Market Share by Country
10.2 Brazil
10.3 Argentina
10.4 Mexico
10.5 Others
11 Middle East and Africa Big Data in Healthcare Market
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.4 Nigeria
11.5 South Africa
11.6 Others
12 Funding and Investment Analysis
12.1 Analysis by Funding Instances
12.2 Analysis by Type of Funding
12.3 Analysis by Funding Amount
12.4 Analysis by Leading Players
12.5 Analysis by Leading Investors
12.6 Analysis by Geography
13 Partnership and Collaborations Analysis
13.1 Analysis by Partnership Instances
13.2 Analysis by Type of Partnership
13.3 Analysis by Leading Players
13.4 Analysis by Geography
14 Regulatory Framework
15 Supplier Landscape
15.1 Allscripts Healthcare Solutions, Inc.
15.1.1 Financial Analysis
15.1.2 Product Portfolio
15.1.3 Demographic Reach and Achievements
15.1.4 Mergers and Acquisition
15.1.5 Certifications
15.2 Cerner Corp.
15.2.1 Financial Analysis
15.2.2 Product Portfolio
15.2.3 Demographic Reach and Achievements
15.2.4 Mergers and Acquisition
15.2.5 Certifications
15.3 Optum Inc.
15.3.1 Financial Analysis
15.3.2 Product Portfolio
15.3.3 Demographic Reach and Achievements
15.3.4 Mergers and Acquisition
15.3.5 Certifications
15.4 Premier, Inc.
15.4.1 Financial Analysis
15.4.2 Product Portfolio
15.4.3 Demographic Reach and Achievements
15.4.4 Mergers and Acquisition
15.4.5 Certifications
15.5 McKesson Corporation
15.5.1 Financial Analysis
15.5.2 Product Portfolio
15.5.3 Demographic Reach and Achievements
15.5.4 Mergers and Acquisition
15.5.5 Certifications
15.6 Hewlett Packard Enterprise (HPE)
15.6.1 Financial Analysis
15.6.2 Product Portfolio
15.6.3 Demographic Reach and Achievements
15.6.4 Mergers and Acquisition
15.6.5 Certifications
15.7 International Business Machines Corporation (IBM)
15.7.1 Financial Analysis
15.7.2 Product Portfolio
15.7.3 Demographic Reach and Achievements
15.7.4 Mergers and Acquisition
15.7.5 Certifications
15.8 Microsoft Corporation
15.8.1 Financial Analysis
15.8.2 Product Portfolio
15.8.3 Demographic Reach and Achievements
15.8.4 Mergers and Acquisition
15.8.5 Certifications
15.9 Oracle Corp.
15.9.1 Financial Analysis
15.9.2 Product Portfolio
15.9.3 Demographic Reach and Achievements
15.9.4 Mergers and Acquisition
15.9.5 Certifications
15.10 GE Healthcare
15.10.1 Financial Analysis
15.10.2 Product Portfolio
15.10.3 Demographic Reach and Achievements
15.10.4 Mergers and Acquisition
15.10.5 Certifications
16 Global Big Data in Healthcare Market - Distribution Model (Additional Insight)
16.1 Overview
16.2 Potential Distributors
16.3 Key Parameters for Distribution Partner Assessment
17 Key Opinion Leaders (KOL) Insights (Additional Insight)
18 Company Competitiveness Analysis (Additional Insight)
18.1 Very Small Companies
18.2 Small Companies
18.3 Mid-Sized Companies
18.4 Large Companies
18.5 Very Large Companies
19 Payment Methods (Additional Insight)
19.1 Government Funded
19.2 Private Insurance
19.3 Out-of-Pocket
*Additional insights provided are customisable as per client requirements.
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