Healthcare Data Analytics Market By Type (Descriptive, Predictive, Prescriptive), Application (Clinical Analytics, Financial Analytics, Operational Analytics), Component (Software, Services, Hardware), (Deployment (On-premises, Cloud-based), End-Users (Hospitals & Clinics, Healthcare Payers, Pharmaceutical & Biotechnology Companies, Research Institutions & Academia, Government Agencies, Healthcare IT Vendors), Region for 2024-2031
Report ID: 60349|No. of Pages: 202
Healthcare Data Analytics Market By Type (Descriptive, Predictive, Prescriptive), Application (Clinical Analytics, Financial Analytics, Operational Analytics), Component (Software, Services, Hardware), (Deployment (On-premises, Cloud-based), End-Users (Hospitals & Clinics, Healthcare Payers, Pharmaceutical & Biotechnology Companies, Research Institutions & Academia, Government Agencies, Healthcare IT Vendors), Region for 2024-2031
Healthcare Data Analytics Market Valuation – 2024-2031
The widespread implementation of EHRs has created vast amounts of digital health data, driving the need for advanced analytics. Thus, the rising adoption of electronic health records surged the growth of market size surpassing USD 32.87 Billion in 2024 to reach a valuation of USD 173.57 Billion by 2031.
The shift from fee-for-service to value-based care models necessitates data-driven decision-making to improve outcomes and reduce costs. Thus, the increasing focus on value-based care enables the market to grow at a CAGR of 23.12% from 2024 to 2031.
Healthcare Data Analytics Market: Definition/ Overview
Healthcare data analytics involves the process of examining and interpreting large volumes of medical data to derive actionable insights. By utilizing advanced statistical models and machine learning algorithms, healthcare data analytics passively analyzes data from sources such as electronic health records (EHRs), insurance claims, and patient surveys. These insights help healthcare providers improve patient care, streamline operations, and forecast potential health risks.
This analytical process identifies patterns and trends in healthcare delivery, allowing for more informed decision-making and personalized treatment plans. It supports the early detection of medical conditions, enhances preventive care, and helps optimize resource allocation, which can reduce operational costs. By identifying inefficiencies and areas for improvement, healthcare institutions can improve service quality and patient outcomes.
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How the Growing Prevalence of Chronic Diseases and Advancements in Artificial Intelligence (AI) and Machine Learning (ML) Surge the Growth of the Healthcare Data Analytics Market?
The rise in chronic conditions is driving the need for predictive analytics and population health management. In The Centers for Disease Control and Prevention (CDC) stated that as of 2022, 6 in 10 adults in the US had a chronic disease, and 4 in 10 had two or more. AI and ML technologies are enhancing the capabilities of healthcare data analytics, enabling more sophisticated insights. A 2021 survey by the American Hospital Association (AHA) found that 67% of hospitals were using or planning to use AI to support clinical decision-making within the next year.
The need to control rising healthcare expenses is driving the adoption of data analytics for cost optimization and resource allocation. According to the Centers for Medicare & Medicaid Services (CMS), national health spending in the US grew 9.7% to reach USD 4.1 Trillion in 2020, accounting for 19.7% of GDP. Increased funding and investment in healthcare technology are fueling the growth of the data analytics market. According to the Office of the National Coordinator for Health Information Technology (ONC), as of 2021, 96% of all non-federal acute care hospitals had adopted certified EHR technology. The Centers for Medicare & Medicaid Services (CMS) reported that in 2022, 11 million beneficiaries were enrolled in Medicare Advantage value-based care models, representing a 9.4% increase from 2021.
How the Data Security and Privacy Concerns Impede the Growth of the Healthcare Data Analytics Market?
Stringent regulations regarding patient data privacy, like HIPAA in the US, make it difficult for organizations to share and analyze data freely. Balancing robust security measures with facilitating data access for analytics remains a complex issue. According to the U.S. Department of Health and Human Services Office for Civil Rights, there were 642 healthcare data breaches affecting 500 or more records in 2020, impacting over 29 million individual records. There is a shortage of qualified data scientists and analysts with healthcare domain knowledge, limiting the industry’s ability to fully leverage data analytics. A 2021 survey by the American Health Information Management Association (AHIMA) found that 59% of healthcare organizations reported difficulty in recruiting qualified health information professionals.
The inability of different healthcare IT systems to seamlessly exchange data hinders comprehensive data analysis across the healthcare ecosystem. The Office of the National Coordinator for Health Information Technology (ONC) reported in 2022 that only 55% of hospitals could integrate patient data from external sources into their EHR systems without manual entry. The significant upfront investment required for advanced analytics tools and infrastructure can be a barrier, especially for smaller healthcare organizations. A 2020 report by the Healthcare Financial Management Association (HFMA) indicated that the average cost of implementing a comprehensive healthcare analytics system ranged from USD 2 Million to USD 10 Million for mid-sized hospitals.
Category-Wise Acumens
How the Increasing Demand for Historical Data Analysis Surge the Growth of Descriptive Analytics Segment?
The descriptive analytics segment is dominant in the healthcare data analytics market, especially as its capabilities have been widely recognized during the pandemic. By leveraging historical data and patient records, descriptive analytics has been pivotal in understanding the spread of the virus, contributing significantly to its increased adoption. This surge in demand for historical data analysis has helped healthcare providers track virus trends and patient outcomes and support informed decision-making.
Descriptive analytics serves as a valuable tool in interpreting “what has happened” by transforming raw data into actionable insights. Hospitals and healthcare institutions, for instance, use descriptive analytics to enhance operational efficiency by monitoring insurance claims. By detecting anomalies and errors in claim submissions, healthcare organizations can ensure smoother administrative processes, reducing costs and improving financial performance.
Beyond healthcare providers, many organizations across the healthcare sector have also recognized the market potential of descriptive analytics. It enables them to refine their operations, detect inefficiencies, and improve patient outcomes. This wide adoption of descriptive analytics tools not only accelerates innovation within healthcare but also positions this segment as a critical driver of market growth. Its effectiveness during a global health crisis underscores its importance in modern healthcare data analytics.
How the Increasing Investment in the Healthcare Industry Accelerates the Growth of Service Segment?
The services segment has emerged as dominant in the healthcare data analytics market, driven by significant investments from the healthcare industry in IT infrastructure and data digitization. As the healthcare sector shifts towards more data-driven decision-making, the demand for sophisticated analytics platforms has increased. Many healthcare organizations, however, lack the internal resources or expertise to develop and manage comprehensive analytics solutions. In addition, they are increasingly outsourcing their data analytics needs to specialized service providers, fueling the rapid growth of the services segment.
Data analytics companies have responded to this demand by offering a complete range of services, from data integration and management to advanced analytics and reporting. These companies provide tailored solutions that help healthcare organizations harness the power of their data without the need for extensive in-house infrastructure. This outsourcing trend has allowed healthcare institutions to focus on their core competencies while benefiting from cutting-edge analytics capabilities.
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Country/Region-wise Acumens
How does the Advanced Healthcare IT Infrastructure Escalate the Growth of the Healthcare Data Analytics Market in North America?
North America substantially dominates the healthcare data analytics market owing to the region’s state-of-the-art healthcare facilities, and the adoption of these platforms and better technological availability have all resulted in a large market share for North America. According to the Office of the National Coordinator for Health Information Technology (ONC), as of 2021, 96% of all non-federal acute care hospitals in the United States had adopted certified EHR technology, providing a robust foundation for data analytics.
North America, particularly the United States, leads in healthcare expenditure, with a significant portion dedicated to healthcare IT and analytics. The Centers for Medicare & Medicaid Services (CMS) reported that U.S. national health expenditure grew 9.7% to $4.1 trillion in 2020, accounting for 19.7% of GDP. This high spending includes substantial investments in healthcare technology and analytics.
Government programs and regulations in North America have been driving the adoption of healthcare IT solutions, including data analytics platforms. The U.S. Department of Health and Human Services reported that as of 2022, more than 90% of office-based physicians had adopted an EHR system, largely due to incentives provided through the HITECH Act and subsequent programs.
How does the Rapid Digitalization of Healthcare Systems Surge the Growth of the Healthcare Data Analytics Market in Asia Pacific?
Asia Pacific is anticipated to witness the fastest growth in the healthcare data analytics market during the forecast period driven by the rapid digitalization of healthcare systems. There has been significant growth and advancements in the industry in this region, which has also contributed to its growth. The increasing adoption of electronic health records (EHRs) and other digital health technologies is driving the demand for data analytics solutions. According to a 2022 report by the Asia eHealth Information Network (AeHIN), EHR adoption rates in Southeast Asian countries increased from an average of 35% in 2019 to 57% by the end of 2021, indicating a rapid digital transformation in the region’s healthcare sector.
Rising healthcare spending in Asia Pacific countries is fueling investments in advanced technologies, including data analytics platforms. The World Health Organization (WHO) reported that healthcare expenditure in the Western Pacific Region, which includes much of Asia Pacific, grew at an average annual rate of 6.5% between 2020 and 2022, outpacing global averages.
The rising burden of chronic diseases and an aging population in many Asia Pacific countries is driving the need for data-driven healthcare solutions to manage population health effectively.
A 2021 study published in The Lancet Regional Health – Western Pacific found that the prevalence of chronic diseases in East and Southeast Asia increased by 18% between 2010 and 2020, with projections suggesting a further 22% increase by 2030.
Competitive Landscape
The Healthcare Data Analytics Market is highly competitive, with a mix of established technology giants, specialized healthcare analytics providers, and emerging startups. The key players in this market are constantly innovating to offer advanced solutions that cater to the specific needs of healthcare organizations.
The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the healthcare data analytics market include:
- Allscripts
- Cerner
- Health Catalyst
- IBM, Inovalon
- McKesson
- MedeAnalytics
- Optum
- Oracle
- SAS
- Wipro
- Verscend
- CitusTech
- Cerner Corporation
- Koninklijke Philips N.V.
Latest Developments:
- In June 2022, Oracle Corporation announced the acquisition of Cerner Corporation, combining Cerner’s clinical skills with Oracle’s enterprise platform analytics and automation experience.
- In January 2022, IBM announced the partnership with Francisco to reach a definitive deal in which Francisco Partners will purchase healthcare data and analytics assets from IBM that are currently part of the Watson Health business.
Report Scope
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2021-2031 |
| Growth Rate | CAGR of ~23.12% from 2024 to 2031 |
| Base Year for Valuation | 2024 |
| Historical Period | 2021-2023 |
| Forecast Period | 2024-2031 |
| Quantitative Units | Value in USD Billion |
| Report Coverage | Historical and Forecast Revenue Forecast, Historical and Forecast Volume, Growth Factors, Trends, Competitive Landscape, Key Players, Segmentation Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Players | Allscripts, Cerner, Health Catalyst, IBM, Inovalon, McKesson, MedeAnalytics, Optum, Oracle, SAS, Wipro, Verscend, CitusTech, Cerner Corporation, Koninklijke Philips N.V. |
| Customization | Report customization along with purchase available upon request |
Healthcare Data Analytics Market, By Category
Type:
- Descriptive
- Predictive
- Prescriptive
Application:
- Clinical Analytics
- Financial Analytics
- Operational Analytics
Component:
- Software
- Services
- Hardware
Deployment:
- On-premises
- Cloud-based
End-User:
- Hospitals & Clinics
- Healthcare Payers
- Pharmaceutical & Biotechnology Companies
- Research Institutions & Academia
- Government Agencies
- Healthcare IT Vendors
Region:
- North America
- Europe
- Asia-Pacific
- South America
- Middle East & Africa
Research Methodology of Verified Market Research:
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Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
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Customization of the Report
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Frequently Asked Questions
1 INTRODUCTION OF GLOBAL HEALTHCARE DATA ANALYTICS MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL HEALTHCARE DATA ANALYTICS MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY TYPE
5.1 Overview
5.2 Descriptive Analysis
5.3 Predictive Analysis
5.4 Prescriptive Analysis
6 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY COMPONENT
6.1 Overview
6.2 Software
6.3 Hardware
6.4 Services
7 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY DELIVERY MODE
7.1 Overview
7.2 On-premises
7.3 Web-hosted
7.4 Cloud-based
8 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY END-USE
8.1 Overview
8.2 Healthcare Payers
8.3 Healthcare Providers
8.4 Life Science Companies
9 GLOBAL HEALTHCARE DATA ANALYTICS MARKET, BY GEOGRAPHY
9.1 Overview
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 U.K.
9.3.3 France
9.3.4 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Rest of Asia Pacific
9.5 Rest of the World
9.5.1 Latin America
9.5.2 Middle East and Africa
10 GLOBAL HEALTHCARE DATA ANALYTICS MARKET COMPETITIVE LANDSCAPE
10.1 Overview
10.2 Company Market Ranking
10.3 Key Development Strategies
11 COMPANY PROFILES
11.1 Allscripts
11.1.1 Overview
11.1.2 Financial Performance
11.1.3 Product Outlook
11.1.4 Key Developments
11.2 Cerner
11.2.1 Overview
11.2.2 Financial Performance
11.2.3 Product Outlook
11.2.4 Key Developments
11.3 Health Catalyst
11.3.1 Overview
11.3.2 Financial Performance
11.3.3 Product Outlook
11.3.4 Key Developments
11.4 IBM
11.4.1 Overview
11.4.2 Financial Performance
11.4.3 Product Outlook
11.4.4 Key Developments
11.5 Inovalon
11.5.1 Overview
11.5.2 Financial Performance
11.5.3 Product Outlook
11.5.4 Key Developments
11.6 McKesson
11.6.1 Overview
11.6.2 Financial Performance
11.6.3 Product Outlook
11.6.4 Key Developments
11.7 MedeAnalytics
11.7.1 Overview
11.7.2 Financial Performance
11.7.3 Product Outlook
11.7.4 Key Developments
11.8 Optum
11.8.1 Overview
11.8.2 Financial Performance
11.8.3 Product Outlook
11.8.4 Key Developments
11.9 Oracle
11.9.1 Overview
11.9.2 Financial Performance
11.9.3 Product Outlook
11.9.4 Key Developments
11.10 Wipro
11.10.1 Overview
11.10.2 Financial Performance
11.10.3 Product Outlook
11.10.4 Key Developments
12 KEY DEVELOPMENTS
12.1 Product Launches/Developments
12.2 Mergers and Acquisitions
12.3 Business Expansions
12.4 Partnerships and Collaborations
13 Appendix
13.1 Related Research
Report Research Methodology
Verified Market Research uses the latest researching tools to offer accurate data insights. Our experts deliver the best research reports that have revenue generating recommendations. Analysts carry out extensive research using both top-down and bottom up methods. This helps in exploring the market from different dimensions.
This additionally supports the market researchers in segmenting different segments of the market for analysing them individually.
We appoint data triangulation strategies to explore different areas of the market. This way, we ensure that all our clients get reliable insights associated with the market. Different elements of research methodology appointed by our experts include:
Exploratory data mining
Market is filled with data. All the data is collected in raw format that undergoes a strict filtering system to ensure that only the required data is left behind. The leftover data is properly validated and its authenticity (of source) is checked before using it further. We also collect and mix the data from our previous market research reports.
All the previous reports are stored in our large in-house data repository. Also, the experts gather reliable information from the paid databases.
For understanding the entire market landscape, we need to get details about the past and ongoing trends also. To achieve this, we collect data from different members of the market (distributors and suppliers) along with government websites.
Last piece of the ‘market research’ puzzle is done by going through the data collected from questionnaires, journals and surveys. VMR analysts also give emphasis to different industry dynamics such as market drivers, restraints and monetary trends. As a result, the final set of collected data is a combination of different forms of raw statistics. All of this data is carved into usable information by putting it through authentication procedures and by using best in-class cross-validation techniques.
Data Collection Matrix
| Perspective | Primary Research | Secondary Research |
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| Supplier side |
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Econometrics and data visualization model
Our analysts offer market evaluations and forecasts using the industry-first simulation models. They utilize the BI-enabled dashboard to deliver real-time market statistics. With the help of embedded analytics, the clients can get details associated with brand analysis. They can also use the online reporting software to understand the different key performance indicators.
All the research models are customized to the prerequisites shared by the global clients.
The collected data includes market dynamics, technology landscape, application development and pricing trends. All of this is fed to the research model which then churns out the relevant data for market study.
Our market research experts offer both short-term (econometric models) and long-term analysis (technology market model) of the market in the same report. This way, the clients can achieve all their goals along with jumping on the emerging opportunities. Technological advancements, new product launches and money flow of the market is compared in different cases to showcase their impacts over the forecasted period.
Analysts use correlation, regression and time series analysis to deliver reliable business insights. Our experienced team of professionals diffuse the technology landscape, regulatory frameworks, economic outlook and business principles to share the details of external factors on the market under investigation.
Different demographics are analyzed individually to give appropriate details about the market. After this, all the region-wise data is joined together to serve the clients with glo-cal perspective. We ensure that all the data is accurate and all the actionable recommendations can be achieved in record time. We work with our clients in every step of the work, from exploring the market to implementing business plans. We largely focus on the following parameters for forecasting about the market under lens:
- Market drivers and restraints, along with their current and expected impact
- Raw material scenario and supply v/s price trends
- Regulatory scenario and expected developments
- Current capacity and expected capacity additions up to 2027
We assign different weights to the above parameters. This way, we are empowered to quantify their impact on the market’s momentum. Further, it helps us in delivering the evidence related to market growth rates.
Primary validation
The last step of the report making revolves around forecasting of the market. Exhaustive interviews of the industry experts and decision makers of the esteemed organizations are taken to validate the findings of our experts.
The assumptions that are made to obtain the statistics and data elements are cross-checked by interviewing managers over F2F discussions as well as over phone calls.
Different members of the market’s value chain such as suppliers, distributors, vendors and end consumers are also approached to deliver an unbiased market picture. All the interviews are conducted across the globe. There is no language barrier due to our experienced and multi-lingual team of professionals. Interviews have the capability to offer critical insights about the market. Current business scenarios and future market expectations escalate the quality of our five-star rated market research reports. Our highly trained team use the primary research with Key Industry Participants (KIPs) for validating the market forecasts:
- Established market players
- Raw data suppliers
- Network participants such as distributors
- End consumers
The aims of doing primary research are:
- Verifying the collected data in terms of accuracy and reliability.
- To understand the ongoing market trends and to foresee the future market growth patterns.
Industry Analysis Matrix
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