Research & Development (R&D) Trends
The evolving storylines reshaping Research & Development (R&D) — each one tracks the developments over time, with curated deep-dives and what they mean by seniority.
AI Simulation Setup
Automotive teams are using virtual ECUs to validate production software earlier, with more realistic integration testing and less dependence on hardware prototypes.
Governed Agentic R&D
Autonomous R&D is moving from demos to governed, human-supervised operating models that can scale across labs and portfolios.
AI Screening Layer
Materials teams are using AI to narrow the field early, prioritizing the most promising candidates before committing time and budget to lab testing.
Agent-Native Research
Cypris is bringing cited R&D research into Microsoft 365 Copilot, speeding up technical and IP decisions inside the collaboration tools teams already use.
Sustainability-Driven PLM
Centric is pushing PLM beyond documentation by making sustainability and circularity data part of everyday product decisions.
Regulated R&D Agents
Agentic R&D is moving beyond copilots toward governed orchestration, with control planes and hardware interfaces becoming essential infrastructure.
AI Governance Execution
BMS is redefining AI governance as part of the R&D operating model, where policy, validation, and execution move together.
Governed AI Execution
Research organizations are consolidating data, automation, and AI orchestration into governed control planes to speed experimentation and make results reproducible.
Upstream Simulation
Simulation is being embedded earlier in product and process development, helping teams choose better designs before prototypes, tooling, or production runs begin.