Report ID: SQMIG35G2325
Skyquest Technology's expert advisors have carried out comprehensive research and identified these companies as industry leaders in the Healthcare Analytics Market. This Analysis is based on comprehensive primary and secondary research on the corporate strategies, financial and operational performance, product portfolio, market share and brand analysis of all the leading Healthcare Analytics industry players.
The accelerating transition from traditional fee-for-service systems to value-based care models stands as a pivotal driver of the global healthcare analytics market. In this evolving framework, healthcare providers are incentivized based on patient outcomes, efficiency, and overall care quality rather than service quantity. To achieve these goals, organizations depend heavily on analytics platforms to assess clinical performance, predict patient risks, and identify cost-saving opportunities. By integrating data from diverse sources such as electronic health records and claims, analytics enables evidence-based decision-making, reduces operational inefficiencies, and enhances care coordination—ultimately aligning healthcare delivery with improved patient value and system sustainability.
According to SkyQuest Technology “Global Healthcare Analytics Market” By Component (Services, Software), Type (Descriptive Analytics, Predictive Analytics), Application, By Region - Industry Forecast 2025-2032,” Global healthcare analytics market is projected to grow at a CAGR of over 22.3% by 2032, on account of urgent need for automating quantified data. The explosive expansion of healthcare data generated from electronic health records, wearable health trackers, telehealth platforms, and connected medical devices is a fundamental factor fueling the healthcare analytics market.
|
Company |
Est. Year |
Headquarters |
Revenue |
Key Services |
|
IBM |
1911 |
Armonk, New York |
USD 62.8 billion (2024) |
Data analytics platforms, AI-driven healthcare insights, clinical decision support, population health management, predictive analytics, cloud-based data integration |
|
Oracle Corporation |
1977 |
Austin, Texas |
USD 53 billion (2024) |
Healthcare data warehousing, cloud-based analytics, patient data management, population health analytics, revenue cycle optimization, electronic health records (EHR) analytics |
|
Cerner |
1979 |
North Kansas City |
USD 5.8 billion (2022) |
Electronic health records, clinical analytics, patient engagement tools, population health management, care coordination analytics, operational performance monitoring |
|
Epic Systems |
1979 |
Verona, Wisconsin |
USD 5.7 billion (2024) |
Electronic health record systems, predictive health analytics, patient outcomes tracking, clinical decision support, revenue cycle analytics, interoperability solutions |
|
Optum (UnitedHealth Group) |
2011 |
Eden Prairie, Minnesota |
USD 253 billion (2024) |
Claims analytics, clinical data management, predictive modeling, healthcare consulting, population health analytics, payment integrity solutions |
|
SAS Institute |
1976 |
Cary, North Carolina |
USD 3 billion (2024) |
Advanced analytics, data visualization, fraud detection, predictive modeling, clinical trial data analytics, operational performance analytics |
|
Koninklijke Philips |
1891 |
Amsterdam, Netherlands |
USD 19.4 billion (2024) |
Remote patient monitoring, clinical informatics, imaging analytics, predictive health insights, hospital operations analytics, patient flow optimization |
|
GE HealthCare |
1994 |
Chicago, Illinois |
USD 19.74 billion (2024) |
Medical imaging analytics, clinical workflow optimization, predictive maintenance analytics, patient monitoring insights, diagnostic intelligence, data integration services |
|
McKesson Corporation |
1833 |
Irving, Texas |
USD 309 billion (2024) |
Supply chain analytics, pharmacy management analytics, revenue cycle optimization, population health insights, claims data analytics, healthcare logistics analytics |
|
Health Catalyst |
2008 |
Salt Lake area, Utah |
USD 306.6 billion (2024) |
Data warehousing platforms, clinical and financial analytics, performance benchmarking, predictive modeling, quality improvement analytics, population health management |
IBM (International Business Machines Corporation) is a global technology and consulting leader, renowned for pioneering innovations in artificial intelligence, cloud computing, and data analytics. Founded in 1911 and headquartered in Armonk, New York, IBM operates in over 170 countries, serving diverse industries including healthcare, finance, and manufacturing. Within healthcare, IBM provides advanced analytics, cognitive computing, and AI-driven solutions that enhance clinical decision-making, improve patient outcomes, and optimize operational efficiency. The company’s Watson Health platform has enabled hospitals and life sciences organizations to leverage big data for precision medicine and population health management initiatives worldwide.
IBM (International Business Machines Corporation) is a global technology and consulting leader, renowned for pioneering innovations in artificial intelligence, cloud computing, and data analytics. Founded in 1911 and headquartered in Armonk, New York, IBM operates in over 170 countries, serving diverse industries including healthcare, finance, and manufacturing. Within healthcare, IBM provides advanced analytics, cognitive computing, and AI-driven solutions that enhance clinical decision-making, improve patient outcomes, and optimize operational efficiency. The company’s Watson Health platform has enabled hospitals and life sciences organizations to leverage big data for precision medicine and population health management initiatives worldwide.
Cerner Corporation, now operating as Oracle Health, is a global leader in healthcare information technology and analytics solutions dedicated to improving the quality and efficiency of patient care. Founded in 1979 and headquartered in North Kansas City, Missouri, Cerner provides electronic health records (EHR), clinical analytics, population health management, and interoperability solutions to hospitals and healthcare organizations worldwide. The company’s platforms enable seamless data sharing, informed clinical decision-making, and operational optimization. Following its acquisition by Oracle in 2022, Cerner continues to drive innovation in digital health ecosystems through cloud-based analytics and AI-powered healthcare intelligence.
Epic Systems Corporation is a leading provider of healthcare software solutions, specializing in electronic health records (EHR), clinical analytics, and patient engagement platforms. Founded in 1979 and headquartered in Verona, Wisconsin, Epic serves some of the world’s largest hospitals and healthcare systems, supporting millions of patient records globally. Its integrated software suite enhances clinical workflows, streamlines revenue cycle management, and facilitates interoperability across care networks. Epic’s advanced analytics tools empower healthcare providers to leverage data for population health management, predictive insights, and improved patient outcomes, reinforcing its position as a cornerstone of digital healthcare innovation worldwide.
Optum, a part of UnitedHealth Group, is a global leader in health services, technology, and analytics, focused on improving healthcare delivery and outcomes through data-driven innovation. Established in 2011 and headquartered in Eden Prairie, Minnesota, Optum integrates clinical expertise with advanced analytics to support care coordination, population health management, and cost optimization. Its core businesses—Optum Health, Optum Insight, and Optum Rx—offer solutions spanning data analytics, healthcare consulting, pharmacy benefit management, and technology-enabled care services. By harnessing big data and AI, Optum empowers providers, payers, and patients to achieve smarter, more efficient, and value-based healthcare worldwide.
SAS Institute Inc. is a global leader in advanced analytics, artificial intelligence, and data management solutions, empowering organizations to transform complex data into actionable insights. Founded in 1976 and headquartered in Cary, North Carolina, SAS serves a wide range of industries, including healthcare, finance, and government. In healthcare, SAS provides powerful analytics platforms that support clinical research, fraud detection, predictive modelling, and population health management. Its tools help healthcare providers and life sciences organizations enhance decision-making, improve patient outcomes, and ensure regulatory compliance. With a strong focus on innovation and data integrity, SAS remains a trusted partner in advancing healthcare analytics worldwide.
Koninklijke Philips N.V., commonly known as Philips, is a global leader in health technology, dedicated to improving people’s health and enabling better outcomes through innovation. Founded in 1891 and headquartered in Amsterdam, Netherlands, Philips focuses on diagnostic imaging, patient monitoring, connected care, and health informatics. The company’s healthcare analytics solutions empower hospitals and clinicians with real-time insights for clinical decision support, workflow optimization, and predictive healthcare management. By integrating AI and cloud-based data platforms, Philips enhances efficiency across the care continuum—from prevention and diagnosis to treatment and home care—advancing personalized, connected, and sustainable healthcare worldwide.
GE HealthCare Technologies Inc. is a global leader in medical technology, diagnostics, and digital healthcare solutions, focused on advancing precision care and improving patient outcomes. Headquartered in Chicago, Illinois, and established as an independent company in 2023 after spinning off from General Electric, GE HealthCare builds on over a century of innovation in medical imaging, monitoring, and analytics. Its portfolio includes AI-powered imaging systems, clinical workflow software, and predictive analytics platforms that enhance diagnostics, streamline hospital operations, and support personalized treatment. Through its commitment to digital transformation and intelligent data integration, GE HealthCare continues to shape the future of connected, data-driven healthcare worldwide.
McKesson Corporation is a global leader in healthcare distribution, technology, and analytics solutions, dedicated to improving the efficiency and quality of care across the healthcare value chain. Founded in 1833 and headquartered in Irving, Texas, McKesson provides pharmaceutical distribution, medical supplies, and data-driven services to pharmacies, hospitals, and healthcare providers worldwide. The company leverages advanced analytics to optimize supply chains, manage inventory, and enhance patient outcomes through predictive insights. Its technology platforms support revenue cycle management, pharmacy automation, and population health initiatives, positioning McKesson as a pivotal force in modernizing healthcare delivery and fostering operational excellence across global health systems.
Health Catalyst, Inc. is a leading provider of data and analytics technology and services for the healthcare industry, committed to enabling measurable improvements in clinical, financial, and operational outcomes. Founded in 2008 and headquartered in South Jordan, Utah, the company offers a cloud-based data platform and suite of analytics applications that help healthcare organizations transform raw data into actionable insights. Health Catalyst’s solutions empower hospitals and health systems to drive population health management, quality improvement, and cost reduction initiatives. Through advanced analytics, machine learning, and data warehousing, the company supports evidence-based decision-making and fosters a culture of continuous performance improvement across the global healthcare landscape.
The global healthcare analytics market is undergoing rapid transformation driven by the industry’s shift toward value-based care, the explosion of healthcare data, and technological innovation. As healthcare systems seek to enhance patient outcomes and operational efficiency, analytics has emerged as a critical enabler of data-driven decision-making. Major companies like IBM, Oracle, Cerner, and Optum are leading this evolution through AI integration, predictive modelling, and cloud-based platforms. Their solutions enable real-time insights, improve clinical workflows, and reduce costs. With rising demand for personalized, efficient, and connected care, healthcare analytics will remain pivotal in shaping the future of global health management.
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The growth of the healthcare analytics market is limited because of concerns around data privacy, regulations such as HIPAA, GDPR, interoperability challenges, fragmented legacy systems, and a shortage of skills and expertise particularly among the smaller and mid-size healthcare organizations.
Artificial Intelligence is changing the way health care analytics solutions analyze data. It supports an improved ability to predict disease, diagnose disease earlier and help reduce costs and improved outcomes by facilitating personalized care. It improves decision support, enhancements to workflows, and moves management towards the real-time data driven enhancement to healthcare operations and population health management.
Health care analytics can be applied to several areas including; financial analytics (claims, fraud detection), clinical analytics (decision support, quality enhancement), operational analytics (staffing, supply chain), and population health management with the overall goal of enhancing quality and eliminate waste or duplicative efforts.
While payers lead the pack as primary end-users of analytic platforms and tools, providers are the fastest growing end-users and these are mainly focused on supporting providers' clinical decisions, operational efficiency, and improvement in patient care delivery. Suppliers and stakeholders in the pharma space are also gaining tremendously from analytics.
The adoption of electronic health records has provided an unparalleled opportunity for the analytics market to scale due to the volume of patient data and the continuing generation of real time information, data analytics is the backbone to predictive modeling and personalized treatment decisions/actions, they are not limited to predicting an outcome but also regulatory mandates and parcel compliance considerations at all points in the patient's care experience.
Care policies and regulations, including HIPAA, GDPR and the move to value-based care, are promoting the adoption of analytics given there are regulatory requirements for protecting data and reimbursement is based on outcome-based care. In addition, financial incentives provided primarily to a healthcare organization for electronic health record, the government is promoting transparent, efficient, and regulated healthcare systems designed through improved analytics.
Global Healthcare Analytics Market size was valued at USD 34.2 Billion in 2024 and is poised to grow from USD 42.96 Billion in 2025 to USD 266.03 Billion by 2033, growing at a CAGR of 25.6% during the forecast period (2026–2033).
Optum, Inc., SAS Institute Inc., Oracle Health (Cerner), Merative, Health Catalyst, Inovalon, Veradigm LLC, Cotiviti, Inc., MedeAnalytics, Inc., IQVIA, CitiusTech Inc., Apixio, Inc., HealthEC, LLC, Komodo Health, Sisense Ltd., McKesson Corporation, EXLService Holdings, Tredence Inc., Arcadia Solutions, LLC, Aetion, Inc.
The key driver of the healthcare analytics market is the growing need to improve healthcare quality and operational efficiency by leveraging data insights for predictive analytics, population health management, cost reduction, and informed decision-making in hospitals, clinics, and insurance providers.
A key market trend in the healthcare analytics market is the adoption of artificial intelligence and machine learning, enabling predictive modeling, real-time patient monitoring, personalized treatment plans, and enhanced clinical and operational decision-making.
North America accounted for the largest share in the healthcare analytics market, driven by advanced healthcare infrastructure, high adoption of digital technologies, strong investment in data-driven solutions, and the presence of leading analytics solution providers.
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