26 Healthcare Analytics Companies Fueling Insights in 2026

In broad terms, healthcare analytics is a process in which organizations use digital technologies to exchange, aggregate, and analyze data. Analytics software enables providers to capture and visualize essential data so they can make informed decisions at the point of care.

That’s why finding a reputable healthcare analytics company is crucial for delivering fast and actionable solutions to major healthcare challenges. To help you navigate this evolving field, we’ll explore the current market for healthcare analytics, including:

• Healthcare analytics market overview
• Healthcare analytics company FAQs
• 26 leading healthcare analytics companies

Healthcare analytics market overview

Considering the vast amount of health data generated annually (approximately 50 petabytes), analytics software has become a necessary tool to address the growing need for data-driven decision-making, fueled by increasing national health expenditures and administrative inefficiencies. Valued at $64.49 billion in 2025, the healthcare analytics market has quickly evolved and is poised to continue growing at a compound annual growth rate of 21.41% by 2034. 

Key factors of growth include: 

• The rapid rate of technological advancements. Artificial intelligence (AI) stands out as a catalyst of innovation, driving advancements in data analysis, predictive modeling, and personalized medicine.

• Supporting government initiatives. In the United States, the CDC has invested over $1 billion in data modernization for state, tribal, local, and territorial (STLT) jurisdictions since fiscal year 2020.

• Massive investments in the healthcare industry. According to Rock Health, 38% of new investment dollars from venture capitalists are allocated to AI-enabled healthcare technology.

These advancements in healthcare analytics are causing fundamental shifts across nearly all facets of healthcare. As the industry continues to evolve, analytics will remain at the forefront, driving innovation and shaping the future of healthcare delivery and patient outcomes.

Healthcare analytics company FAQs

What is the role of AI in healthcare data analytics?

As we mentioned earlier, AI is transforming healthcare analytics by enabling predictive insights, automation, and personalization for more targeted patient engagement. AI encompasses a range of technologies that can help health systems glean more from their data, such as:

• Predictive analytics: AI models forecast critical events, such as a patient's risk of developing a chronic condition, so providers can intervene before an adverse health event occurs.

• Precision diagnosis: AI can flag abnormalities and suggest more accurate diagnoses when trained on clinical data.

• Operational automation: AI frees up staff time by automating time-consuming administrative tasks, such as claims processing and clinical documentation.

As healthcare technology continues to innovate, the healthcare analytics companies partnering with health systems and payers must also be committed to innovation. Choosing an AI-enabled healthcare analytics company is paramount to staying on top of recent analytics trends and innovations.

What are the most important considerations for choosing a healthcare analytics company?

Selecting a healthcare analytics company is a complex process that requires careful consideration.

The first step of the process is to reflect on your organization’s goals. Knowing exactly what you need to achieve within a specific timeframe is the best way to eliminate options. Decipher exactly why you need an analytics provider and why now is the breaking point. Is it cost-related? Interested in recouping your time? The reason should justify the research, time, and budget required for change.

After solidifying your goals, here are some additional considerations to work through during your research:

• Experience and expertise: Look for a company with extensive experience and a proven track record of successful use cases. Refer to reputable sources like KLAS Research for impartial industry opinions.

• Customizable applications and integrations: Ensure the company you select can integrate with your existing data sources cleanly and efficiently handle the volume and complexity of your data set.

• Warehousing capabilities: Where will your data be stored? How accessible is it? How well will it be cleaned and made available to analysts? Depending on your organization’s needs, find a provider that makes relevant information readily available.

• Reporting capabilities: What reporting cadences does your organization need? Do you require consistent dashboard reporting for high-risk patients? What about cost efficiency metrics? Determine your needs based on your predefined goals.

• Maintenance and security: Will your provider be able to scale as your organization grows? Do they have sufficient security and privacy measures to protect your sensitive healthcare data? Choose a provider that can keep up with your advancements and adhere to your privacy policies.

• Training and customer support: How steep is the integration learning curve? Does your selected provider offer the necessary training and customer support to get your team up and running quickly? Make sure your provider offers comprehensive onboarding.

Choosing between providers usually comes down to cost. Determine which vendor is worth the necessary cost and time needed to solve your organization’s problems and prevent future operational, cost-related, and clinical flare-ups.

26 leading healthcare analytics companies

1. Arcadia: Best for unifying data into a single platform

G2 Rating: 5/5

Featured in Everest Group’s Healthcare Data Management Platforms PEAK Matrix® Assessment 2025 as a Major Contender

Recognized five times by KLAS Research, Arcadia is a best-in-class platform that improves healthcare performance across the board through data-driven insights and workflow-embedded tools. This healthcare analytics company’s easy-to-navigate, cloud-based data platform unifies clinical, claims, and ancillary data from over 3,000 distinct source systems (including more than 50 distinct EHR vendors) in a single comprehensive platform. Arcadia manages data for over 170 million patients, serves more than 200 provider and payer organizations, and provides market intelligence derived from 200 million Medicare lives.

To empower organizations to leverage this holistic view of health, Arcadia offers a variety of solutions across the healthcare ecosystem, including:

• Interfacing and Interoperability: Arcadia’s platform unifies healthcare data into a single source of truth, delivering the analytics, workflows, and AI assistance needed to operate across care-based and performance-driven care models. Arcadia turns complex data into actionable insight that scales as your organization evolves.
• Analytics, IT, & IS: Combine lakehouse-style architecture with self-service data access, standards-based interoperability, in a suite that helps healthcare organizations scale analytics and automate the flow of information, from executive scorecards to predictive models that drive timely patient interventions.
• Quality & Risk: This package ensures complete, accurate, and timely capture of risk and quality data. With this information, health teams can systematically identify risk, track quality performance, and close gaps in care to improve performance across value-based care programs.
• Care Navigation: Bridge insight and action across the entire care journey by leveraging this tool to connect patient data, population health information, and follow-through. Gain a clear understanding of each patient’s clinical context, highlight who needs attention, and provide structured interventions for better patient outcomes.

2. Atropos Health: Best for generating real-world evidence

Turning real-world clinical data into real-world evidence (RWE) is Atropos Health’s specialty. This healthcare analytics company produces methodologically credible RWE reports to help organizations:

• Rapidly gain answers to clinical questions
• Leverage personalized insights for diagnosis, treatment selection, throughput, and care management
• Accelerate clinical decision-making

With GENEVA OS™ (the Generative Evidence Acceleration Operating System), organizations can run queries on their own data. Alternatively, they can access the Atropos Evidence™ Network of approximately 200 million de-identified global patients’ records.

3. BrightInsight: Best for digital health apps for biopharma and MedTech

The future of healthcare is digital, and BrightInsight is here to deliver it. By combining digital health services with powerful data tools, this health analytics company empowers providers to unlock a wealth of data that informs every clinical and business decision.

Life sciences companies and healthcare organizations leverage BrightInsight’s offerings to build companion apps, algorithms, health provider interfaces, and other software offerings across various health areas. Covering medical branches from neurology to oncology to immunology, BrightInsight helps healthcare organizations manage medical conditions with the data and insights they need.

4. CareCloud: Best for cloud-based revenue cycle and practice management

CareCloud’s analytics and business intelligence tools work together to simplify workflows, boost productivity, and drive better outcomes. Its easy-to-use interface enables users to visualize their data through customizable dashboards, while web and mobile support allows providers to analyze their data from anywhere.

Beyond analytics, this provider’s offerings span from revenue cycle management to digital health solutions for a comprehensive approach to data-driven decision-making.

5. Cedar Gate: Best for value-based care payment and contract administration

Cedar Gate Technologies is a healthcare analytics company that provides a value-based care (VBC) performance management platform. Their platform combines data, analytics, and advisory services to help healthcare organizations improve financial and clinical outcomes.

Cedar Gate supports several aspects of managing VBC initiatives, including risk-based contracts, population health management, and bundled payments.
 

6. CitiusTech

Specializing in data science and AI, CitiusTech strives to transform the healthcare system through innovative technology. This provider’s approach, powered by a deep understanding of healthcare data and KPIs, unifies data for intuitive analysis of health information.

CitiusTech’s next-gen technology and expertise drive accurate and life-saving insights for various departments across the care continuum. From revenue cycle management to value-based care analytics to quality and compliance reporting, this healthcare analytics company supports decision-making in all departments.

7. Cotiviti: Best for high-speed payment integrity and risk optimization

Cotiviti supports high-quality care by providing advanced data analytics to hundreds of healthcare payers. Using billions of clinical and financial data points, this healthcare analytics company enables payers to improve efficiency while reducing costs. 

Cotiviti’s payment integrity solutions shorten time-to-results to less than five days, allowing payers to unlock more incremental savings value with less burden on providers and administrative teams. Additionally, this provider’s risk adjustment services help ensure accurate compensation by optimizing risk-associated revenue and maintaining appropriate compliance.

8. Datavant: Best for linking patient records across datasets

Datavant’s primary goal, like most healthcare analytics companies, is to help organizations achieve their data strategies. This real-world data ecosystem powers accurate insights by linking proprietary data (Pharma trials data, social determinant data, etc.) with third-party data (lab data, claims data, etc.). 

With connected, secure information, providers can balance data utility with patient privacy, ultimately delivering precise care.

9. Embleema: Best for secure clinical trials and patient data collection

Combining molecular, clinical, and real-world data through a HIPAA-compliant blockchain network, Embleema provides unique insights for researchers and patients alike. This company’s personalized health app takes a patient-facing approach to analytics, allowing users to track symptoms, participate in surveys, and share reports with their care providers.

For analysts, Embleema transforms the study experience by streamlining data collection, consent forms, and participant invitations. Then, this provider’s easy-to-use interface highlights participants’ progress in a study and consolidates study tasks for more straightforward workflows.

10. Epic: Best for enterprise EHR for large health systems

Epic is a leading provider of electronic health record (EHR) software. Because patients’ health data is often spread across numerous different EHR systems, this company offers integrated analytics to ensure a comprehensive view of patient records. For example, pairing data from Epic with Arcadia’s healthcare analytics capabilities enables real-time, data-driven decisions at the point of care.

11. Flatiron: Best for research-grade real-world evidence for oncology

Like most healthcare analytics companies, Flatiron uses big data to transform your health data into insights. Unlike other companies, however, this provider specializes in one health need: the infrastructure of cancer care.

Flatiron’s mission “to improve and extend lives by learning from the experience of every person with cancer” drives efficient study data. Offering one of the industry’s first EHR-to-EDC connectors, this company empowers providers and analysts to generate evidence-based insights that improve the patient experience and streamline operations.

12. Health Catalyst: Best for professional services, consulting, and people-powered improvement programs

Health Catalyst is a leading provider of data analytics that offers analytical applications, data warehousing, and outcomes-improvement services. The company’s machine learning-driven solutions integrate disparate data from across the healthcare ecosystem.

To decrease report building time and increase cost savings, Health Catalyst seeks to eliminate redundant data. Their most popular services include EHR integration, health informatics, and risk and revenue cycle management.

13. HealthHelper: Best for closing patient care gaps

Whether your practice follows a fee-for-service (FFS) model or a value-based-care (VBC) arrangement, HealthHelper exists to close your care gaps. Their tech-enabled service enables providers to improve patient experiences by cleaning their patient panel, running panel analytics, and engaging patients through multi-channel care campaigns. 

Additionally, HealthHelper works to reduce staff workload with convenient care gap closure services so you can focus on patient care.

14. HealthVerity: Best for healthcare data synchronization and exchange

Sourcing real-world data from the nation’s largest ecosystem of healthcare and consumer data, HealthVerity powers health research with more than 75 HIPAA-compliant datasets. With open and closed claims data, lab results from both Labcorp and Quest, and a myriad of other health data, this company empowers analysts to access objective insights and close gaps in patient care.

15. Inovalon: Best for HEDIS quality reporting

Inovalon offers “the nation’s most widely used healthcare cloud platform” to drive analytics-based decision-making. Payers, providers, pharmacies, and life sciences organizations rely on Inovalon for meaningful quality and economic improvements. With differentiated data, payer, provider, and pharmacy cloud platforms available, your organization can choose a solution that makes the most sense for you.

One of Inovalon’s most well-known features is its ability to help healthcare organizations assess their care quality through HEDIS. Leverage this data to improve your star ratings and hit your care goals without added stress.

16. K Health: Best for AI-driven clinical insights

While other healthcare analytics companies focus on visualizing health data for providers, analysts, and other health professionals, K Health aims to facilitate data collection for providers and health services for patients. Consumers download this health app on their mobile devices, describe their symptoms and other biomarkers, and receive an AI-powered diagnosis and suggested treatments. 

Meanwhile, the app anonymously stores patient data for AI-driven analysis. In other words, this solution serves as both a telehealth solution and an EHR all in one.

17. McKesson: Best for pharmaceutical distribution and medical supply chain logistics

McKesson is a healthcare service and IT company dedicated to providing revenue cycle management, clinical decision support, and data analytics for research. This company serves hospitals, physician offices, pharmacies, and pharmaceutical audiences alike to improve patient outcomes.

McKesson stands out for its network of distribution and customer support centers, which enable it to accurately and efficiently deliver pharmaceuticals, specialty therapies, medical supplies, and equipment to their clients. Their network also allows them to help clients modernize inventory management and identify strategies for better financial performance.

18. MedeAnalytics: Best for intuitive data visualization and fast user adoption

MedeAnalytics prides itself on its simple platform navigation, interoperability and flexibility, focused consultative relationships, and holistic mindset. Their offerings include real-time data integration in addition to cloud computing for healthcare organizations across the globe.

The MedeAnalytics platform has “everything you need to make an impact across the healthcare ecosystem” including intuitive visualization, predictive analytics, and benchmarking. MedeAdopt, an onboarding program by MedeAnalytics, gives your team comprehensive training materials and integrated, in-app messaging.

19. Mro: Best for clinical data exchange

Mro is a provider-centric company that aims to accelerate clinical data exchange through tools designed to curate and enrich clinical information. Their configurable, interoperable tools ensure that providers can connect to hundreds of disparate data sources to generate valuable insights.

20. N1 Health: Best for AI predictive modeling for personalized outreach

Among the healthcare analytics companies delivering predictive insights, N1 Health stands out as a top contender. Through its cloud-based, AI-driven platform, N1 Health generates meaningful predictions that drive precision in outreach and interventions. 

Combining customer data with detailed consumer data, predictive models, and cloud-native technologies, this company helps providers identify the right individuals to engage with and the right interventions to deliver.

21. Optum: Best for enterprise-level healthcare infrastructure and services

Optum’s services are known globally for delivering personalized healthcare insights. As a leading health services and technology provider, Optum is an American pharmacy and healthcare company founded in 2011 under UnitedHealth Group.

Optum’s core services include financial and payment services (Optum Financial), clinical services (Optum Care), and medication management services (Optum Rx). Optum’s analytics features work across network planning, service-line profitability, patient care management, and other essential areas to deliver tailored insights to healthcare organizations.

22. Oracle: Best for enterprise-level health system tools

Oracle identifies itself as an AI data platform, integrating powerful data analytics with comprehensive clinical records to drive clinical excellence. This company’s platform offers a full suite of tools for health systems to manage everything from care quality to administrative efficiency.

23. Prognos: Best for clinical and genomic laboratory data

At the forefront of improving business intelligence to better medical facilities, Prognos’ industry-leading approach transforms clinical and genomic laboratory data into actionable insights. Prognos’ health data marketplace, clinical insights, and industry solutions start with analysis rather than data ingestion to deliver faster results.

Prognos Marketplace allows you to explore and purchase pre-integrated, patient-specific data on demand to complement your existing data set. This fit-for-purpose integration of real-world data sets lets your team customize the information to suit your research analytics needs.

24. SAS: Best for data interoperability for team collaboration

Founded in 1976, SAS offers business analytics solutions across a variety of industries, from agriculture to banking to healthcare. This company’s healthcare data analytics solutions leverage AI, image analytics, and machine learning to improve clinical precision.

In particular, SAS Viya connects healthcare data in a single, interoperable environment, allowing technical users, healthcare professionals, and other stakeholders to collaborate seamlessly. Through Viya, you can access plain-language explanations of data, predictive models, built-in bias monitoring, and other insights for better teamwork.

25. Socially Determined: Best for assessing risks based on SDoH

Healthcare organizations looking to understand their populations’ health-related social needs should work with Socially Determined, a healthcare analytics company that provides SDoH insights. Socially Determined’s platform, SocialScape®, visualizes a community’s risk across seven SDOH domains, highlighting how and where social risk has the largest impact. 

Additionally, this company delivers individual-level social risk scores for each member across five HRSN domains, empowering health plans to design tailored interventions.

26. Veradigm: Best for high-speed data exchange and medical charting

Touting a dynamic network of easy-to-use tools, Veradigm is a healthcare solutions provider that aims to help organizations reduce administrative burdens, improve practice financial performance, and enhance patient satisfaction. Veradigm’s medical chart retrieval, EHR capabilities, and other tools deliver actionable insights to drive better outcomes.

Additionally, payers can leverage Veradigm’s platform to enable quality outcomes at a low cost. With high-speed data exchange and risk adjustment analytics, this provider offers advanced tools that positively impact point-of-care decision-making.

Final thoughts on researching healthcare analytics companies

Selecting the right healthcare analytics company will depend on your organization’s objectives. Use your goals to formulate a plan ahead of time and preemptively eliminate any unsuitable options. Conduct follow-up research and look into case studies for a more nuanced perspective of each company’s offerings.