Healthcare Interoperability Market Hits $4.84B as 70% of Providers Still Can't Exchange Data

Enterprise Buyers Face a $4.84 Billion Interoperability Problem

Healthcare interoperability spending reached $4.84 billion in 2025, yet 70% of providers still cannot exchange data seamlessly across EHR, imaging, remote patient monitoring, and claims systems, according to the HIMSS 2024 Report cited in March 2026 vendor analyses from Deloitte and Gartner. The market is projected to hit $17.94 billion by 2035, driven not by solved problems but by escalating costs of fragmentation — 66% of US healthcare spending goes to multi-chronic condition patients whose care requires data from systems that do not talk to each other.

The shift is forcing enterprise buyers to abandon point solutions and consolidate around FHIR/HL7-compliant platforms from Siemens Healthineers, Philips, GE HealthCare, Epic, Oracle Health, SAP, and ServiceNow. These platforms promise to cut integration costs and enable AI workflows like automated imaging reads and triage, but the underlying challenge remains: most organizations are still running partially connected stacks with manual workarounds.

Why Unified Platforms Are Winning Budget Allocation

Buyers are prioritizing interoperability-first architectures because fragmented systems block AI deployment. A radiology AI model cannot reduce imaging reads from hours to minutes if it cannot ingest data from multiple PACS systems and correlate it with EHR records. An RPM platform cannot predict readmission risk if claims data sits in a separate vendor silo.

Siemens Healthineers' AI-Rad Companion and Philips HealthSuite integrate imaging AI with FHIR-based EHR connectors, creating closed-loop workflows that reduce manual data entry. GE HealthCare RPM connects device data directly to Epic and Oracle Health records, eliminating the middleware layer that historically added 20-40% to integration costs. SAP and ServiceNow are positioning as orchestration layers for legacy systems, appealing to buyers who cannot rip out existing EHR contracts but need to layer on analytics and automation.

This architecture shift is eroding demand for older point solutions like Redox and NextGen, which built businesses on bridging gaps between non-interoperable systems. Buyers now demand modular, cloud-native stacks with audit trails for GDPR and SOC 2 compliance, shifting purchasing power to platforms that ship production-ready AI rather than middleware promises.

InterSystems and Oracle Compete on AI Gateway Strategy

InterSystems launched HealthShare AI Assistant in November 2025, a generative AI tool that accelerates patient data queries for administrators and physicians by connecting to FHIR-compliant EHR and RPM systems. The product directly counters Oracle Health's August 2025 Clinical One update, which integrated EHR data with clinical trial workflows, and Epic's ongoing API expansions for third-party AI apps.

The competitive dynamic matters because AI assistants like HealthShare lower decision latency in care coordination — the time it takes a physician to find the right data to make a treatment call. Analyst benchmarks show 20-30% workflow efficiency gains when clinicians can query unified datasets via natural language instead of clicking through multiple systems. For risk-averse buyers facing federal interoperability mandates, these tools justify budget reallocation from custom integration projects to turnkey AI assistants.

But the strategy only works if the underlying data stack is interoperable. A generative AI layer on top of siloed systems produces hallucinated answers or incomplete results, creating liability risk. This is why buyers are coupling AI assistant purchases with platform consolidation — either moving to Epic/Oracle as the system of record, or deploying SAP/ServiceNow as a unifying layer above legacy EHRs.

What Enterprise Buyers Should Prioritize Now

The interoperability market is projected to grow from $3.4 billion globally in 2023 to $8.57 billion by 2030, but growth is not evidence of solved problems. It reflects compounding costs of partial solutions.

Buyers should demand proof of FHIR compliance and ask vendors to demonstrate live data exchange with at least three other platforms in the category — EHR, imaging, RPM, or claims. Platforms that cannot ingest and normalize data from competitors in real time will create new silos, not solve old ones.

Second, prioritize vendors with role-based access controls and data lineage tracking built in, not bolted on. Interoperable systems expand the attack surface and regulatory exposure. Audit trails showing which user accessed which patient record from which system are not optional in a post-GDPR, post-HIPAA enforcement environment.

Third, model the cost of integration failure, not just integration success. A FHIR-compliant platform that costs 30% more than a point solution but eliminates three months of custom API work and reduces administrative burden by 20% pays for itself in year one. Buyers who optimize for unit price instead of total cost of ownership will end up with the same fragmentation problem they have today, just on a newer tech stack.