... In the absence of data, early-stage idea evaluation relies heavily on intuition, especially as AI increases idea volume and speed. R&D leaders can improve decision quality not by removing intuition, but by structuring it before AI scales it. Insights at a Glance Issue Impact More Detail Gartner Recommended ...
Analyst(s): James Ebajemito
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... Access Insights Already a Gartner client? The current R&D operating model is facing fundamental pressures from the intersection of technology development and geopolitical disruptions. In response, R&D leaders must reimagine what products they develop, how and who develops them, and how to inspire and ...
... R&D teams are under increasing pressure to deliver breakthrough innovation faster — and with fewer resources. Agentic AI offers a powerful new advantage by autonomously managing parts of the ideation, planning, and design process, helping R&D leaders shorten development cycles and boost productivity. ...
... make decisions about which R&D opportunities to invest in? Benchmark R&D function maturity to prioritize areas of improvement. What is the optimal investment balance across the R&D portfolio? Compare your spend with peers to balance the R&D portfolio. How Gartner supports R&D leaders Join problem-solving ...
... Macroeconomic risks increasingly disrupt R&D performance. Use this report to understand the emerging pressures you or your stakeholders experience that may shape or challenge R&D’s performance. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Tom Jepsen | Trevour Kelleher | Atul Dighe | Alex Curry
... Access Insights Already a Gartner client? R&D is losing the corporate AI race. Despite the immense opportunity presented by AI to accelerate the rate of invention and discovery, R&D leaders routinely fail to secure significant AI investment. To avoid disruption, R&D leaders must take bigger swings. Applying ...
... As AI capabilities advance, the core risk to R&D is not future autonomy, but loss of influence, expertise, and performance advantage due to outdated operating models. This research helps R&D leaders learn how to think about redesigning workflows, talent, and executive peer influence now as AI capabilities ...
... operations requires keeping pace with an evolving software landscape, which remains a top priority for R&D leaders. This research explores 10 key software and digital technology markets supporting R&D, evaluating how platform integration, category convergence, and embedded AI impact product development ...
... Access Insights Already a Gartner client? R&D functions struggle to realize value from GenAI because the technology’s broad capabilities make it difficult to know where to deploy it. R&D leaders must pinpoint and prioritize maximum-return initiatives by treating GenAI as a “digital colleague” and deploying ...
Analyst(s): Alex Curry | Lauren Maiya | Ella Yan | Shradha Sapra