AI Adoption Is Widespread and Growing

More than 600 industry professionals, from clinicians to researchers to executives, were surveyed. The result? 63% are already actively using AI, and another 31% are piloting or assessing AI initiatives. That makes healthcare a clear leader in AI adoption compared to other industries, which average just 50% uptake.

Even more striking, 81% of respondents report that AI has already contributed to increased revenue, with nearly half seeing ROI within one year of deployment.

Top AI Workloads and Use Cases by Sector

The report identifies three primary workloads across the healthcare ecosystem:

• Data analytics (58%)
• Generative AI (54%)
• Large Language Models (LLMs) (53%)

Each industry segment, however, has its own leading use cases:

• Medical technologies: Medical imaging and diagnostics (71%)
• Pharma and biotech: Drug discovery and development (59%)
• Digital healthcare: Clinical decision support (54%)
• Payers and providers: Workflow automation and documentation (48%)

Generative AI Is Making Immediate Impact

Generative AI isn’t just a buzzword, it’s driving meaningful transformation. 71% of digital healthcare respondents, 69% of pharma and biotech firms, and 60% of medtech organizations are actively using generative AI.

Top generative AI use cases include:

• Generating clinical notes (55%)
• Chatbots and AI agents (53%)
• Literature analysis (45%)
• Drug discovery (62% in pharma)

These technologies are not only easing administrative burdens but also accelerating innovation in treatment development.

Generative AI NVIDIA

AI’s Value Drivers: R&D, Precision, and Patient Outcomes

Survey respondents identified their top strategic goals for AI:

• Accelerate research and development (24%)
• Improve client outcomes (22%)
• Deliver clinical or research insights (22%)

Pharma and biotech companies were the most R&D-focused (54%), while payer/provider segments prioritized clinician-patient interactions and operational efficiency.

Challenges Vary by Organization Size

Barriers to AI adoption still exist. For smaller organizations (under 1,000 employees), budget constraints are the top challenge. For larger enterprises, data privacy and sovereignty top the list.

Despite these hurdles, 86% of all respondents’ said AI is critical to their future. And 83% believe AI will “revolutionize healthcare and life sciences in the next three to five years.”

The three areas expected to see the biggest AI impact are:

• Advanced imaging and diagnostics (51%)
• Virtual healthcare assistants (34%)
• Precision medicine (29%)

NVIDIA, State of AI in Healthcare

AI ROI Is Driving Bigger Budgets in 2025

The bottom-line benefits of AI are clear:

• 81% reported increased revenue
• 73% reported reduced operational costs
• 41% saw faster R&D cycles
• 78% plan to increase AI budgets in 2025

Where will the money go? The top three investment priorities are:

• New AI use cases (47%)
• Workflow optimization (34%)
• Hiring AI experts (26%)

Looking Ahead: Agentic and Physical AI on the Horizon

NVIDIA’s report ends on a future-forward note. Healthcare is set to embrace emerging technologies like agentic AI, AI agents that automate decision-making and routine tasks, and physical AI, including robotics powered by foundation models.

These tools promise to further reduce clinician workload, accelerate diagnosis, and even assist in surgery—raising both the floor and ceiling of healthcare quality.

Explore AI For Your Organization

NVIDIA’s State of AI in Healthcare and Life Sciences report paints a clear picture: AI isn’t a future disruptor—it’s a present force. Whether it’s summarizing clinical documentation, streamlining research, or making diagnostics more precise, AI is improving how healthcare operates and how patients receive care.

As organizations plan for 2025 and beyond, aligning AI investments with both business outcomes and patient needs will be critical.

Contact RSI Security today to integrate secure, compliant, and trustworthy AI solutions tailored for healthcare and life sciences.

Download Our HIPAA Checklist