Healthcare Firms Turn AI Momentum Into Lasting Value
According to Forrester's 2026 US Healthcare Tech Forecast, US healthcare providers will increase tech budgets to $69 billion in 2026 (up 7.6% year over year), with spending flowing into ambient clinical documentation, AI-enabled analytics, drug-discovery acceleration, and connected care platforms. Forrester also notes that fewer than half of provider decision-makers report mature third-party risk management for AI, identifying governance and integration gaps as the primary barrier to sustained value. The Forrester Wave for Healthcare CX Platforms (Q1 2026) separately flags that accelerated AI deployment without governance and workflow integration creates as much risk as delayed action. Industry observers note that prior health-IT cycles - including EHR and real-world evidence platform rollouts - delivered less value than anticipated when fragmented data and weak adoption engineering were not addressed.
What happened
Forrester's 2026 US Healthcare Tech Forecast projects that US healthcare providers will increase their technology budgets to $69 billion in 2026, up 7.6% year over year, per the February 2026 blog by senior analyst Shannon Germain Farraher. Spending is shifting toward software (36% of budgets), with priorities including AI-enabled analytics, ambient clinical documentation, cloud platforms, and interoperability investments. Forrester reports that providers are also scaling AI into drug-discovery workflows and connecting medical records with consumer health apps. A separate Forrester Wave evaluation (Q1 2026) notes that consumer comfort with public AI tools (29%) and health insurer AI tools (31%) are nearly identical, indicating consumers are not waiting for the healthcare system to catch up.
Governance gap
Forrester's forecast states that fewer than half of provider decision-makers report mature third-party risk management for AI. The Forrester Wave blog warns that both "delayed experimentation and reckless acceleration carry risk," and that without shared guidelines for risk, data quality, and system integration, many AI projects hit natural limits - they fail to scale, create new operational work, or produce outputs clinicians do not trust.
Industry context
Editorial analysis
Prior health-IT investment cycles - including EHR deployments and real-world evidence platforms - frequently underdelivered when fragmented data estates, interoperability gaps, and limited clinician buy-in were not addressed before scaling. These structural issues remain central challenges for AI projects today. For practitioners, addressing master data management, API-led integration, and workflow fit are typical prerequisites before large-scale model-driven automation can deliver consistent outcomes.
What to watch
Industry observers should track adoption metrics at the clinician and patient front line (measured uptake and workflow time savings), investments in core data integration and interoperability, and concrete governance artifacts such as auditable agent policies and documented authority controls. Vendors that reduce friction with existing clinical systems will be an early signal that organizations are addressing the operational blockers Forrester highlights.
Key Points
- 1Forrester forecasts $69B in US healthcare provider tech spending in 2026 (+7.6%), led by ambient documentation, AI analytics, and drug-discovery acceleration.
- 2Fewer than half of provider decision-makers have mature AI risk management, per Forrester; governance and workflow integration gaps remain the primary barrier to sustained value.
- 3Practitioners should prioritize interoperability, auditable governance, and clinician adoption metrics to convert AI pilots into lasting ROI - a pattern that prior EHR and RWE rollouts failed to follow.
Scoring Rationale
Forrester's 2026 Healthcare Tech Forecast quantifies $69B in provider tech spending and documents concrete AI deployment activity across ambient documentation, drug discovery, and connected care - useful data for practitioners evaluating sector momentum. The governance-gap findings are actionable but this is analyst commentary rather than a deployment announcement or research breakthrough, placing it in the solid-but-not-notable range.
Sources
Public references used for this report.
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