Healthcare Analytics Market Analysis by Mordor Intelligence
The Healthcare Analytics Market size is estimated at USD 57.16 billion in 2025, and is expected to reach USD 160.39 billion by 2030, at a CAGR of 22.92% during the forecast period (2025-2030).
Expanded payer-provider collaboration, wider deployment of AI-driven data pipelines, and a steady shift toward cloud-native analytic environments are accelerating revenue growth. Provider networks are scaling population health programs that rely on predictive risk scores, while life-science companies continue to embed real-world evidence in clinical trial designs to speed regulatory approvals. At the same time, venture investors are favoring analytics start-ups that bring low-code data-integration tools to overstretched hospital IT teams, creating an active acquisition pipeline for incumbent platform vendors. Competition is intensifying as hyperscale cloud providers, legacy EHR firms, and pure-play analytics specialists race to integrate generative AI and domain-specific large language models into existing workflows.
Key Report Takeaways
- By analytics type, descriptive analytics held 46.3% of the healthcare analytics market share in 2024, while predictive analytics is projected to expand at a 24.3% CAGR through 2030.
- By component, software captured a 60.2% revenue share in 2024; services are set to post the fastest growth rate of 25.5% CAGR over the same period.
- By delivery mode, on-premise deployments commanded 48.2% of the healthcare analytics market size in 2024; however, cloud-based solutions are forecasted to grow at a 24.3% CAGR through 2030.
- By application, financial and revenue-cycle-management (RCM) analytics accounted for a 41.3% share of the healthcare analytics market size in 2024, whereas population health management is advancing at a 26.2% CAGR.
- By end user, life-science companies led with a 45.1% share in 2024; healthcare providers represent the fastest-growing user group, with a 25.8% CAGR.
- By geography, North America dominated the market with a 48.6% market share in 2024, while the Asia-Pacific region is the fastest-growing, tracking a 22.9% CAGR through 2030.
Global Healthcare Analytics Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Transition to value-based care | +1.9 | North America & EU | Long term (≥5 yrs) |
| Real-world evidence mandates | +1.4 | North America, APAC core | Medium term (~3-4 yrs) |
| Cloud adoption and AI-enabled health tools | +2.1 | Global | Short term (≤2 yrs) |
| VC influx into analytics start-ups | +0.9 | Global hubs, early gains in Boston, Bengaluru | Medium term (~3-4 yrs) |
| Insurance digitization fueling fraud analytics | +0.8 | North America & EU | Short term (≤2 yrs) |
| Venture capital investments and the digitization of insurance processes | +1.2 | APAC core, spill-over to MEA | Medium term (~3-4 yrs) |
| Source: Mordor Intelligence | |||
Transition to Value-Based Care
The shift from fee-for-service to value-based care (VBC) models is fundamentally altering healthcare analytics requirements, with the VBC market projected to double from USD 500 billion to USD 1 trillion as organizations seek analytics solutions that connect clinical outcomes to financial performance. Despite this growth trajectory, only 46% of primary care practitioners currently participate in value-based payment arrangements, creating a significant market gap for analytics vendors who can address the financial barriers and administrative burdens that impede adoption, as per the Commonwealth Fund, July 2024[1]Commonwealth Fund, “Primary Care and Value-Based Payment,” commonwealthfund.org. The transition demands more sophisticated patient-centered care management analytics that can adapt to dynamic patient needs while measuring outcomes beyond cost reduction, including health equity metrics that are increasingly tied to reimbursement, strengthening the healthcare analytics market relevance.
Real-World Evidence Mandates to Enhance Drug Development and Patient Safety
Regulators in the United States, European Union, and Japan encourage life-science sponsors to supplement randomized-trial data with real-world evidence. Pharmaceutical firms are integrating de-identified claims and registry information to support label expansions, safety surveillance, and rare-disease studies. Life-science analytics teams increasingly partner with academic medical centers to build federated data networks that meet privacy standards without sacrificing longitudinal detail. This collaboration drives spending on high-performance analytic platforms capable of processing petabyte-scale datasets with robust lineage tracking. New guidance from the U.S. Food & Drug Administration on electronically derived endpoints reinforces the need for transparent, auditable algorithms, a capability vendors highlight as a core differentiation point when marketing to biopharma customers.[3]Academy of Managed Care Pharmacy, “Real World Evidence (RWE) Initiative,” amcp.org
Cloud Adoption and AI-Enabled Health Tools
Health-system CIOs are shifting workloads to public cloud zones to gain elastic compute and reduce on-premise maintenance overhead. Cloud migration accelerates AI experimentation because development teams can tap managed GPU clusters and pre-trained models without capital outlays. Multicloud architectures also simplify regional data-residency compliance, an issue that slowed previous SaaS rollouts. Early adopters report shorter model-deployment cycles and faster refresh of risk-stratification rules once analytic environments run on serverless pipelines. Generative AI further boosts market demand as clinical and administrative users explore conversational queries that surface patient-level insights without specialized SQL knowledge, adding momentum to the healthcare analytics market.
Venture Capital Investments and the Digitization of Insurance Processes
Insurtech start-ups secure venture funding to automate prior-authorization, fraud-detection, and payment-integrity functions. These firms rely on healthcare analytics market platforms that integrate claims, enrollment, and provider-directory data to support AI scoring models. Traditional insurers respond by purchasing or partnering with analytic vendors to protect profit margins. The resulting competitive pressure fuels licensing revenue for established platform providers and expands service engagements for implementation specialists. Capital inflows also accelerate the development of open-API ecosystems, permitting quicker third-party module integration and encouraging niche solution providers to enter the healthcare analytics industry.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Fragmented data standards & compliance cost | -1.7 | Global | Long term (≥ 5 yrs) |
| Rising HIPAA/GDPR compliance costs | -0.9 | North America & EU | Medium term (~ 3-4 yrs) |
| Shortage of skilled professionals | -1.1 | North America & EU | Short term (≤ 2 yrs) |
| Escalating cyber-attacks on hospital data lakes | -0.4 | Global | Short term (≤ 2 yrs) |
| Source: Mordor Intelligence | |||
Fragmented Data Standards and Compliance Costs
The lack of universally adopted interoperability frameworks raises extraction and transformation costs for multi-site analytics deployments. Divergent privacy statutes such as HIPAA, GDPR, and country-specific localization rules require sophisticated consent-management workflows. Hospitals operating cross-border telehealth programs must duplicate datasets across sovereign clouds, inflating storage budgets and complicating access governance. These structural frictions slow deployment timetables and redirect budget away from advanced analytics toward compliance tooling, dampening near-term spending momentum.
Skilled Professional Shortage and Cybersecurity Threats
Competition for data engineers, clinical informaticists, and security architects drives up salary outlays, stretching provider and payer operating budgets. Resource constraints lengthen implementation cycles and raise the risk of project abandonment. At the same time, ransomware groups increasingly target health-sector databases, forcing CISOs to divert funds to endpoint hardening and zero-trust network defenses. Board-level concerns about AI model-specific vulnerabilities amplify demand for penetration-testing and model-explainability services, which can delay go-live dates. Collectively, these challenges curtail the pace at which some institutions adopt next-generation analytics suites.
Segment Analysis
By Analytics Type: Predictive Engines Expand Fastest
Descriptive analytics remained the largest revenue contributor, holding 46.3% of the healthcare analytics market share in 2024. Organizations continue to rely on retrospective dashboards to satisfy basic regulatory reporting and claims adjudication requirements. Budget-constrained community hospitals also view descriptive modules as entry-level solutions while they build data governance foundations. In parallel, predictive analytics is clocking a 24% CAGR, the highest among analytic categories. Care-management teams deploy risk-propensity scores to flag high-risk members and to prioritize outreach resources. Vendor roadmaps place special emphasis on auto-ML and explainable-AI functions to ease model maintenance once solutions are embedded in electronic health record workflows.
Demand for near-real-time sepsis alerts, early-warning systems for congestive-heart-failure exacerbations, and operating-room scheduling optimizers further underpins the predictive segment’s trajectory. The healthcare analytics market size at the predictive level is projected to expand as hospital networks unlock streaming telemetry from bedside monitors. Market entrants differentiate by offering drag-and-drop model builders aimed at clinicians who lack formal data-science training. As application catalogs grow, platform consolidation looms, with high-end providers bundling descriptive, diagnostic, and prescriptive modules into unified subscription tiers.
Note: Segment shares of all individual segments available upon report purchase
By Component: Services Edge Past Software Growth
Software licenses generated 60.2% of total revenue in 2024 thanks to high-priced, enterprise-wide platform agreements. These contracts typically bundle data integration, visualization, and advanced modeling engines, giving vendors durable account control. Nonetheless, service engagements are expanding at a 25.5% CAGR as clients seek vendor-led configuration, data-quality remediation, and managed-model-performance support. Outsourced services appeal to hospitals facing workforce shortages and to life-science firms that operate global trial networks requiring around-the-clock analytic oversight.
Many providers opt for modular services to augment in-house teams during initial deployments. This hybrid approach reduces upfront capital expenditure while ensuring system uptime. Service providers increasingly incorporate automation to streamline data-mapping tasks, accelerating time to value. As hospital CFOs press for predictable operating expenses, subscription-based managed services gain favor, positioning the component services line to narrow the revenue gap with software over the forecast period. The healthcare analytics market size attributable to services is expected to capture larger renewal budgets as legacy software installations reach end-of-life.
Note: Segment shares of all individual segments available upon report purchase
By Delivery Mode: Cloud-Based Solutions Outpace On-Premises
On-premise systems held 48.2% of the healthcare analytics market revenue in revenue because many integrated-delivery networks and payers still deploy analytics adjacent to core claims processors and data warehouses. Regulatory concerns around PHI, combined with earlier investments in on-site data centers, sustained the segment’s lead. Cloud-based deployments, however, are scaling at 24.3% CAGR due to lower maintenance overhead, elastic compute, and rapid provisioning models. CIO surveys indicate that provider organizations can achieve up to 30% infrastructure cost savings within 18 months of migration to platform-as-a-service environments.
Cloud vendors embed advanced security tooling and compliance certifications, easing audit burdens. High-availability zones minimize downtime during peak usage, such as annual quality-reporting cycles. Vendors also release feature updates simultaneously across all tenants, accelerating access to new machine-learning functions. As hybrid-cloud architectures mature, the healthcare analytics market share for cloud deployments is set to surpass on-premise revenue before 2029, aided by strategic alliances between hyperscalers and EHR vendors.
By Application: Population Health Gains Momentum
Financial and RCM an alytics retained 41.3% of the healthcare analytics market revenue in 2024 by automating coding validation, denial management, and contract modeling. Hospitals rely on these tools to manage tight margins and to improve cash flow under complex payer rulesets. Meanwhile, population health management[2]Centers for Disease Control and Prevention, “About the Division of Population Health,” cdc.gov
posts the fastest 26.2% CAGR, driven by value-based reimbursement and the need to address social determinants of health. Community-care teams require unified member records that incorporate claims, EHR, pharmacy, and community-resource data.
Regulatory quality-program scoring and shared-savings calculations also depend on robust population analytics. Vendors respond with dashboards that combine chronic-disease registries, risk scores, and care-gap alerts. The healthcare analytics market size in population health is set to expand as payers widen capitated contracts that reward proactive interventions. Integration of digital-front-door engagement data, such as remote vital-sign telemetry, gives this application area additional uplift, especially where reimbursement codes now cover remote monitoring services.
By End User: Provider Adoption Accelerates
Life-science companies generated 45.1% of total revenue in 2024, reflecting their sustained investment in trial optimization, safety surveillance, and market-access analytics. Pharmaceutical sponsors adopt common-data-model repositories to streamline regulatory submissions and to facilitate decentralized trials. Providers, however, are the fastest-growing segment at 25.8% CAGR as hospital systems pursue care-quality bonuses and risk-sharing contracts. Their adoption surge is amplified by federal incentives for interoperability and reporting, which necessitate enterprise data-platform upgrades.
Provider CIOs prioritize embedded analytics that can surface patient-level insights within clinician workflows without additional log-ins. The convergence of clinical decision support and revenue-cycle processes further elevates provider demand. Vendors that deliver tight EHR integration and robust role-based access controls are best positioned to capture upcoming budget cycles. As a result, the healthcare analytics market share for providers will rise steadily, closing the historical gap with life-science spending by decade’s end.
Note: Segment shares of all individual segments available upon report purchase
Geography Analysis
By Geography: North America Leads in the Market
North America commanded 48.6% of global revenue in 2024 thanks to mature EHR adoption, widespread value-based payment schemes, and favorable venture-capital flows. Provider consolidation amplifies spending power, while stringent interoperability regulations such as the 21st Century Cures Act foster a vibrant ecosystem of application-programming-interface vendors. Reimbursement mandates for quality reporting further entrench analytics in day-to-day operations, sustaining the region’s leadership position.
Europe follows with solid demand, led by Scandinavian nations that prioritize national registries and outcome-based procurement models. Regional data-protection rules do lengthen procurement cycles, but pan-European initiatives to establish common health-data spaces promise to harmonize standards over the medium term. Public-sector research consortia also drive uptake by funding cross-border data-sharing projects focused on rare diseases and pandemic preparedness.
Asia Pacific is the fastest-growing region at 22.9% CAGR. Government-funded insurance expansions in India, Indonesia, and Thailand create new datasets requiring scalable analytic infrastructure. Chinese provinces pilot value-based reimbursement schemes that incorporate hospital readmission penalties, spurring domestic analytics vendors to integrate predictive models into local hospital information systems. Australia and Singapore advance cloud-first national health-IT strategies, opening doors for global platform providers. As a result, the healthcare analytics market size in Asia Pacific is projected to overtake Europe in absolute revenue shortly after 2030, given current growth trajectories.
Competitive Landscape
The market displays moderate concentration, with IBM, Oracle Health, and Optum maintaining sizable shares while specialized entrants compete on clinical-domain depth. Vertical integration is the prevailing strategy: vendors are acquiring cybersecurity, data-governance, and workflow-orchestration capabilities to deliver end-to-end solutions.
IBM’s collaboration with Mayo Clinic on AI-enabled disease-management analytics illustrates how provider partnerships accelerate validation cycles. Meanwhile, hyperscalers such as Microsoft embed analytics modules into cloud suites, leveraging existing footprints to cross-sell health-specific services .
White-space opportunity persists at the intersection of AI and complex clinical pathways. Hospital consortia trialing machine-learning tools for labor-productivity improvements have reported measurable gains, hinting that workforce analytics could evolve into the next high-growth subsegment.
Healthcare Analytics Industry Leaders
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Optum Inc.
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Oracle Health
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IBM Corporation
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McKesson Corporation
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IQVIA
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- April 2025: Microsoft Corporation expanded its Cloud for Healthcare platform with enhanced analytics capabilities, integrating Azure AI services to improve clinical decision support and operational efficiency for healthcare providers.
- March 2025: Oracle Health (formerly Cerner) launched an advanced predictive analytics suite that leverages real-world data to identify patients at risk for clinical deterioration, reducing hospital readmissions by 18% in early adopter health systems.
- December 2024: IBM Corporation's Watson Health division partnered with the Mayo Clinic to develop AI-powered analytics solutions for complex disease management, focusing initially on oncology and cardiovascular care pathways.
- October 2024: Koninklijke Philips N.V. launched an integrated analytics platform for remote patient monitoring, combining real-time data from home-based devices with predictive algorithms to enable earlier interventions for chronically ill patients.
- September 2024: Veradigm Inc. (formerly Allscripts) expanded its real-world evidence platform to include social determinants of health data, enhancing population health analytics capabilities for value-based care organizations.
- August 2024: IQVIA Holdings Inc. introduced a cloud-based analytics solution specifically designed for small and mid-sized healthcare providers, offering enterprise-level capabilities with simplified implementation requirements.
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
Mordor Intelligence defines the healthcare analytics market as every software, service, and enabling hardware platform that collects, integrates, and applies descriptive, diagnostic, predictive, prescriptive, or cognitive techniques to clinical, financial, operational, population health, and life science data generated by providers, payers, and public agencies worldwide.
Scope Exclusions: Stand-alone electronic health record systems, revenue cycle outsourcing contracts, non-analytics business intelligence tools, and AI point solutions limited to radiology are not counted.
Segmentation Overview
- By Analytics Type
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Cognitive Analytics
- By Component
- Hardware
- Software
- Services
- By Delivery Mode
- On-Premise
- Cloud-Based
- Hybrid
- By Application
- Clinical Analytics
- Financial & RCM Analytics
- Operational & Administrative Analytics
- Population Health Management
- Fraud Detection & Risk Analytics
- Life Sciences / R&D Analytics
- By End User
- Healthcare Providers
- Healthcare Payers
- Life Science Companies
- Public Health Agencies
- Geography
- North America
- United States
- Canada
- Mexico
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia-Pacific
- Middle East and Africa
- GCC
- South Africa
- Rest of Middle East and Africa
- South America
- Brazil
- Argentina
- Rest of South America
- North America
Detailed Research Methodology and Data Validation
Primary Research
Mordor analysts interview health system CIOs, payer informatics heads, analytics vendors, and regional policy advisers across North America, Europe, Asia Pacific, and the Gulf. These calls and structured surveys validate pricing corridors, refresh rate assumptions, and penetration benchmarks that desktop sources leave unclear.
Desk Research
Our junior team compiles foundational inputs from tier 1, open sources such as the US CMS National Health Expenditure tables, Eurostat health accounts, WHO Global Health Observatory, and OECD Health Statistics. Trade bodies like AHIP, Advanced Medical Technology Association, and the Healthcare Information and Management Systems Society help us profile installed IT bases and adoption ratios. Company 10-Ks, FDA device approvals, venture funding trackers, and patent datasets from Questel enrich technology diffusion estimates. We supplement gaps with shipment intelligence from Volza and news archives accessed through Dow Jones Factiva. These references illustrate but do not exhaust the wide array of secondary materials reviewed.
Market-Sizing & Forecasting
A blended top down view of healthcare spending pools and data generation volumes is rebuilt, which is then calibrated with sampled bottom up checks on provider deployments, license ASP × active seats, and managed service revenues. Key variables include inpatient discharge counts, average claim records per insured life, migration rates from on premise to cloud, AI enabled workload share, and regulatory incentive milestones such as Meaningful Use and GDPR. Multivariate regression, guided by expert consensus, forecasts each driver through 2030, while scenario analysis quantifies upside from additional value based care mandates. Where bottom up audits reveal material divergence, estimates are adjusted to the mid range of verified ranges.
Data Validation & Update Cycle
Model outputs pass three rounds of analyst peer review, variance checks against external health IT indices, and reconciliation with latest currency fixes. We refresh every twelve months, and interim updates trigger after major policy shifts, mega acquisitions, or reimbursement code changes.
Why Mordor's Healthcare Analytics Baseline Commands Reliability
Published figures differ because firms choose unique scopes, cost buckets, and refresh cadences.
Pricing of bundled services, inclusion of life science analytics, and assumed cloud ramp rates are frequent gap drivers.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver |
|---|---|---|
| USD 57.16 B (2025) | Mordor Intelligence | - |
| USD 65.64 B (2025) | Global Consultancy A | Excludes enabling hardware yet counts EMR data warehousing spend, lifting totals |
| USD 44.83 B (2024) | Industry Association B | Uses payer centric scope, omits life science and public health agency demand |
Differences arise mainly from service bundle treatment, base year currency choices, and shorter historical baselines.
Mordor's balanced top down and selective bottom up approach, allied to annual refreshes and transparent variable lists, offers decision makers a dependable, traceable benchmark.
Key Questions Answered in the Report
What is the projected value of the healthcare analytics market by 2030?
The market is forecast to reach USD 160.39 billion by 2030, driven by a 22.92% CAGR.
Which analytics segment is growing the fastest?
Predictive analytics is expanding at a 24% CAGR as providers seek early-warning insights for patient deterioration and operational optimization.
Why are services outpacing software growth?
Organizations facing talent shortages outsource configuration and model-management tasks, pushing services to a 25.5% CAGR.
Which region offers the highest growth potential?
Asia Pacific leads with a 22.9% CAGR, supported by national insurance expansions and cloud-first health-IT strategies.
How concentrated is the competitive landscape?
The top five vendors control roughly 22% of global revenue, resulting in a moderately consolidated market with a concentration score of 6.
What key factor restrains rapid adoption?
Fragmented data standards and varying privacy regulations add complexity and compliance costs, slowing deployment timelines.
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