Healthcare organizations generate enormous volumes of data every day—from EHRs and claims to lab results, imaging, pharmacy systems, wearables, and patient-reported outcomes.
But data alone doesn’t improve care, reduce costs, or streamline operations. Real value comes from transforming fragmented datasets into trustworthy insights that support clinical decisions, operational efficiency, and strategic planning.
That’s where healthcare data analytics companies come in: they build platforms and services that unify data, improve data quality, enable reporting and dashboards, and support predictive analytics for population health, quality metrics, and resource optimization.
Below is a curated list of top healthcare data analytics companies in 2026, with seven providers known for helping health systems, payers, and digital health businesses turn data into measurable impact.
1. Kodjin
Kodjin provides modern healthcare data analytics software designed to help organizations consolidate and analyze complex healthcare data at scale.
Healthcare teams often struggle with siloed sources, inconsistent formats, and time-consuming manual reporting—especially when combining clinical and operational datasets.
Kodjin focuses on making data usable for analytics by supporting structured pipelines, interoperability-friendly workflows, and governance-ready processing that improves trust in reporting outputs.
A major strength of Kodjin is how it fits into real healthcare IT ecosystems: instead of treating analytics as an isolated layer, Kodjin supports data structuring and integration that can power multiple use cases, such as performance dashboards, population-level monitoring, operational analytics, and quality improvement tracking.
This is particularly valuable for organizations building long-term analytics roadmaps that must evolve over time—adding new data sources, expanding reporting needs, and supporting decision-making across clinical and business stakeholders.
With a strong focus on scalable data handling and insight-ready outputs, Kodjin is a top choice for organizations that want analytics built on a solid interoperability-first foundation.
2. Health Catalyst
Health Catalyst is known for healthcare-focused analytics that support performance improvement across clinical and operational domains. Their approach often centers on integrating data from multiple systems to identify variation in care, reduce waste, and track quality outcomes.
Health Catalyst is frequently used by health systems seeking enterprise analytics capabilities that connect data to measurable improvement initiatives, such as care pathway optimization, cost reduction efforts, and population health reporting.
3. Optum Analytics
Optum Analytics offers analytics solutions used by providers and payers to support risk stratification, population health management, and value-based care initiatives. Their tools help organizations identify high-risk cohorts, track utilization patterns, and understand cost drivers across populations.
Optum’s strength is in applying advanced analytics at scale and providing models and reporting that support strategic decisions across clinical and financial priorities.
4. SAS Healthcare Analytics
SAS provides advanced analytics and statistical modeling capabilities used in healthcare for forecasting, predictive modeling, operational analytics, and fraud detection.
Their tools are particularly valuable for organizations that require deep analytical rigor and custom modeling workflows.
SAS is often used in contexts where large datasets, complex predictions, and high-confidence statistical results are required—such as public health analytics, payer modeling, and research-driven decision support.
5. IQVIA
IQVIA is well known for analytics based on real-world data and evidence, supporting insights into patient journeys, treatment effectiveness, and outcomes trends.
While IQVIA is strongly associated with life sciences and research, its analytics capabilities also support healthcare organizations looking to analyze large cohorts, understand longitudinal outcomes, and evaluate care trends across populations.
IQVIA’s strength lies in working with extensive datasets and producing insights that can inform strategy, program evaluation, and performance analysis.
6. Truven Health Analytics
Truven Health Analytics is associated with benchmarking and performance measurement capabilities used by organizations to evaluate quality, utilization, and cost across facilities and programs.
Their analytics support comparative insights that help leadership teams identify gaps, set priorities, and understand how performance measures compare against peer benchmarks.
This can be especially useful in operational decision-making environments where leaders must align improvement initiatives with measurable indicators and reporting requirements.
7. MedeAnalytics
MedeAnalytics provides analytics tools for both providers and payers, with a focus on dashboards, quality measurement, revenue cycle visibility, and operational insights.
Their platforms aim to make analytics accessible across teams by delivering reporting that supports clinical, financial, and executive stakeholders.
MedeAnalytics is often used to improve visibility into performance metrics, identify inefficiencies, and track progress across care management and operational improvement initiatives.
Conclusion
Healthcare data analytics is no longer optional—it’s central to improving outcomes, managing cost, supporting value-based care, and operating efficiently in complex environments.
The companies listed above help organizations unify fragmented data, build reliable reporting, and apply analytics that support clinical and business decisions.
Kodjin leads this list because its healthcare data analytics software is designed to turn complex healthcare data into insight-ready information while supporting interoperability and scalable growth.
Whether you’re building enterprise dashboards, improving quality reporting, or enabling population health analytics, choosing the right analytics partner can accelerate impact—and help ensure your data becomes a true driver of better care and better performance.
