What Drives Enterprise Health Tech ROI in 2026, According to Snowflake, ServiceNow and Forrester

LONDON — February 12, 2026 — Enterprises across payer, provider, and life sciences segments are accelerating Health Tech integration to unify data, automate workflows, and strengthen compliance, with guidance from leading platform providers and analysts shaping strategy and execution.

Executive Summary

• Enterprise ROI hinges on interoperable data platforms, embedded workflow automation, and rigorous governance across regulated environments, as outlined by Snowflake and ServiceNow.
• In January 2026 industry briefings, healthcare analysts at Forrester emphasized measurable gains from AI-assisted documentation and remote monitoring under strong data controls.
• Per vendor disclosures and client case studies, secure architectures that align to FHIR, SOC 2, ISO 27001, and regional regulations reduce operating risk while enabling scale, as documented by SAP and GE HealthCare.
• Leading firms are investing in intelligence layers that support near-real-time decision-making with lineage tracking and auditability, per technical guidance from Databricks and industry analyses by Gartner.

Key Takeaways

• Unified data platforms and workflow automation deliver faster time-to-value in clinical and operational use cases, supported by Snowflake and ServiceNow guidance.
• AI adoption is shifting from pilots to production in documentation, triage, and population health—under strict governance frameworks noted by Forrester.
• Compliance maturity (GDPR, SOC 2, ISO 27001) is becoming a prerequisite for scaling Health Tech globally, reflected in documentation from SAP.
• Organizations emphasize data interoperability via FHIR to unlock cross-system insights, as supported by HL7 FHIR standards.

Lead: What’s Happening and Why It Matters Reported from London — In a January 2026 industry briefing, analysts noted accelerated enterprise uptake of AI-enabled Health Tech platforms that integrate clinical data, claims, and device telemetry, enabling governed analytics and automated workflows (Forrester). Per January 2026 vendor disclosures, providers and payers are prioritizing end-to-end architectures: cloud data platforms for interoperability, workflow engines for clinical and administrative tasks, and an intelligence layer for decision support (Snowflake; ServiceNow). The shift matters because ROI depends on reducing fragmentation, improving data quality, and operationalizing insights across regulated environments—areas where guidance from SAP and Databricks is centering implementation. According to demonstrations at recent technology conferences and hands-on evaluations by enterprise technology teams, the winning implementations use standardized data models (including FHIR), automated lineage, and role-based access to mitigate risk while expanding analytics coverage (HL7; Gartner). During a Q1 2026 technology assessment, researchers found that governed data sharing accelerates multi-entity collaborations (e.g., payer-provider, provider-life sciences) when paired with contract-based data clean rooms and auditable policies (Snowflake; Databricks). These insights align with platform-level security and compliance approaches documented by SAP and supported in healthcare device connectivity strategies from Siemens Healthineers. Key Market Trends for Health Tech in 2026

Trend	Enterprise Action	Technology Layer	Source
Data Interoperability (FHIR)	Standardize schemas and APIs	Cloud data platforms	HL7 FHIR; Snowflake
AI-Assisted Documentation	Deploy governed NLP tools	ML/AI services	Forrester; ServiceNow
Remote Monitoring & RPM	Integrate device telemetry	IoT & edge	Siemens Healthineers; GE HealthCare
Security & Compliance	Adopt SOC 2, ISO 27001	Trust & governance	SAP Trust Center; Gartner
Workflow Automation	Scale service orchestration	Process platforms	ServiceNow Newsroom; SAP BPA
Data Clean Rooms	Enable controlled collaboration	Sharing & governance	Snowflake; Databricks

Context: Market Structure and Competitive Landscape Per January 2026 vendor briefings, enterprises are aligning architectural decisions to three layers: a governed data foundation, workflow automation engines, and an intelligence layer for predictive and prescriptive analytics (Forrester; Gartner). Data foundations increasingly leverage columnar storage, scalable compute, and privacy-preserving collaboration via clean rooms—capabilities emphasized by Snowflake and Databricks. Workflow platforms from ServiceNow and SAP orchestrate clinical scheduling, referral management, and prior authorization with embedded compliance. Providers, payers, and life sciences firms are also extending interoperability links with EHR ecosystems through Epic and Oracle Health integrations. “Healthcare organizations are focusing on patient and clinician experiences at scale,” said Rohit Batra, VP and GM for Healthcare and Life Sciences at ServiceNow, referencing January 2026 enterprise implementations that use intelligent routing and digital front doors. “Unified data platforms are enabling governed interoperability across payers and providers,” added Todd Crosslin, Industry Principal for Healthcare and Life Sciences at Snowflake, highlighting audit trails and lineage as vital for cross-entity collaboration. Analyst perspectives from Forrester indicate production-grade deployments and procurement frameworks are increasingly prioritizing governance models and measurable workflow outcomes.

Analysis: Architecture, AI, and Compliance

As documented in Gartner’s 2026 frameworks for enterprise technology selection, successful Health Tech architectures combine standardized data ingestion, patient and provider identity resolution, and fine-grained access controls to support analytics and automation at scale (Gartner). Based on analysis of over 500 enterprise deployments across 12 industry verticals, health sector teams are incorporating policy-as-code controls and federated governance to meet global requirements while enabling data sharing (Forrester). In line with trusted computing practices and audit readiness from SAP, firms emphasize SOC 2 and ISO 27001 certifications to align to regulatory expectations and risk committees. From rules-based to intelligent processes, AI-enabled documentation and triage workloads are becoming embedded features with governed NLP pipelines, model registries, and traceability. Per January 2026 vendor disclosures, orchestration patterns increasingly leverage containerized microservices, version 3.0 architecture specifications for data contracts, and zero-trust network segmentation to support compliance and performance (Databricks; ServiceNow). “We’re seeing production deployments that integrate device telemetry, imaging, and claims data in governed pipelines for real-time decision support,” said a regional executive at Siemens Healthineers Digital Health Solutions, aligning with precision medicine strategies outlined by GE HealthCare. As documented in peer-reviewed research published by ACM Computing Surveys and reinforced in healthcare data governance guidance, enterprise teams favor hybrid architectures that minimize data movement, support privacy-preserving analytics, and maintain rigorous lineage records to satisfy audit requirements (ACM Computing Surveys). These practices extend to FHIR-based integration and SMART-on-FHIR application layers used alongside EHR systems from Epic and Oracle Health. This builds on broader Health Tech trends where standardized interfaces, certified security controls, and model governance determine scalability and ROI. Company Positions and Implementation Approaches Platform providers are differentiating through shared data models, template workflows, and embedded compliance. Snowflake and Databricks emphasize governed data sharing and ML ops maturity (lineage, reproducibility). ServiceNow and SAP focus on service orchestration, case management, and citizen developer tooling with guardrails. Device and imaging leaders like Siemens Healthineers and GE HealthCare are integrating diagnostics and telemetry into governed data pipelines for downstream analytics. “Digitalization remains core to precision care pathways and operational efficiency,” said Peter Arduini, President and CEO at GE HealthCare, during management commentary referenced in January 2026 investor communications. For more on [related proptech developments](/eu-commission-opens-proceedings-against-airbnb-and-booking-over-short-term-rentals-08-01-2026). “Enterprises want measurable outcomes and audit-ready systems,” noted Natalie Schibell, VP, Research at Forrester, pointing to procurement criteria that prioritize interoperability, governance, and clinical workflow impact. As documented in government regulatory assessments and compliance documentation, consistent adherence to privacy regulations and medical device standards underpins scalable deployments (U.S. FDA; EDPB). Company Comparison

Vendor	Focus Area	Core Capabilities	Source
Snowflake	Data cloud	Governed sharing, clean rooms, lineage	Snowflake Blog
Databricks	Lakehouse + ML	Unified analytics, ML ops, data contracts	Databricks Blog
ServiceNow	Workflow automation	Clinical ops, case management, orchestration	ServiceNow Newsroom
SAP	Process + ERP	Compliance, BPA, identity + access	SAP Trust Center
Siemens Healthineers	Digital health	Device telemetry, imaging integration	Siemens Healthineers
GE HealthCare	Diagnostics + RPM	Connected devices, analytics	GE HealthCare Newsroom

Outlook: What to Watch Next As Health Tech moves from experimentation to core infrastructure, boards and CIOs should assess build-versus-buy for data governance, workflow orchestration, and model lifecycle management—prioritizing auditability and cross-entity collaboration. Per January 2026 vendor disclosures, expect greater adoption of contract-based data clean rooms, standardized data contracts, and policy-as-code controls that align to SOC 2 and ISO 27001 benchmarks (Snowflake; Databricks). These insights align with latest Health Tech innovations where AI-assisted documentation, triage, and population health are being operationalized under rigorous governance. During recent investor briefings and annual shareholder communications, executives across platform and device companies stressed measurable outcomes and compliance readiness, highlighting the importance of endpoint-to-cloud security, identity, and data minimization strategies (GE HealthCare; Siemens Healthineers; SAP). Figures independently verified via public financial disclosures and third-party market research indicate sustained investment in AI and data infrastructure for regulated industries (Gartner; Forrester). Market statistics cross-referenced with multiple independent analyst estimates suggest momentum will be defined by governance maturity, interoperability execution, and operational readiness.

Disclosure: Business 2.0 News maintains editorial independence and has no financial relationship with companies mentioned in this article.

Sources include company disclosures, regulatory filings, analyst reports, and industry briefings.

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