Company news from The Futurum Group, and the research announcements that go out with new Futurum Intelligence data.
285 results · page 4 of 15
Mitch Ashley, VP Practice Lead at Futurum, shares his insights on why observability-native architecture is the prerequisite for enterprise AI agent deployment at scale and what the seven principles mean for vendors and practitioners.
Olivier Blanchard, Research Director at Futurum, shares his insights on why AI-enabled hearables are quickly displacing AI-enabled “smart speakers” as the primary voice-first AI interface, and what the implications of this shift could be for tech vendors working in the agentic space.
Brendan Burke, Research Director at Futurum, reveals that no single AI workload is primary for most enterprises, with inference leading at just 34.6%. The balanced distribution demands workload-optimized processors and software stacks.
Brendan Burke, Research Director at Futurum, unpacks the drivers of the CPU shortage in the data center market. Demand for agentic AI accelerated hyperscaler procurement of CPUs, leading to a favorable long-term growth outlook.
Brad Shimmin, Vice President & Practice Lead, Data Intelligence, Analytics, and Infrastructure at Futurum, shares his insights on Quest Software’s new Trusted Data Management Platform.
Olivier Blanchard, Research Director at Futurum, dives into the timing, specs, competitive advantages, market positioning, and strategic importance of Intel’s Core Ultra Series 3 (Panther Lake) release and new 18A process node.
Dion Hinchcliffe explains how CIOs are consolidating enterprise platforms around agentic AI, control planes, and cloud convergence as AI agents move from experimentation to execution in 2026.
Futurum’s Keith Kirkpatrick reveals enterprise AI ROI measurement is shifting from productivity to P&L impact, while agentic AI surged 31.5% as the fastest-growing technology priority among 830 IT decision makers.
Tom Hollingsworth, Advisor at Futurum, shares his insights on the need for co-packaged optics in modern networking. He discusses the way they solve performance problems and reduce power consumption.
Nick Patience, VP & AI Platforms Practice Lead at Futurum, analyzes the shift in AI use case revenue as code generation and process automation move from experiments to dominant drivers, capturing over 43% of enterprise platform spend by 2030.
Keith Kirkpatrick, VP and Research Director at Futurum, shares his insights into the various approaches to delivering AI by SaaS vendors, and discusses which ones will drive ROI the fastest.
Futurum’s Keith Kirkpatrick reveals a structural reset in enterprise software, forecasting the market to reach $762.1B by 2031 (12.2% CAGR) as budgets pivot from Systems of Record to AI-driven Systems of Agency.
Alex Smith and Keith Kirkpatrick at Futurum share their insights on enterprise software growth through hyperscaler marketplaces.
Olivier Blanchard, Research Director at Futurum, shares a new insight into how the ROI of AI PCs’ connection to measurable productivity gains could significantly shorten PC purchase cycles in the enterprise.
Mitch Ashley, VP Practice Lead for Software Lifecycle Engineering at Futurum, shares insights on how 97% of organizations now use AI in software development, validating the developer transformation from code authorship to agent-driven workflows.
Mitch Ashley, VP and Practice Lead for Software Lifecycle Engineering at Futurum, explores why transparency through observability is essential for trusting and scaling AI-driven software delivery.
Futurum’s Nick Patience, VP and AI Platforms Practice Lead, and Fernando Montenegro, VP and Cybersecurity & Resilience Practice Lead, share insights on why 100% national AI sovereignty is a myth and how nations such as the US, China, and the EU are pivoting toward strategic autonomy and hybrid…
Brendan Burke, Research Director at Futurum, analyzes new survey data that enterprise spending on XPUs, a diverse set of AI-specialized accelerators, will outpace GPUs in 2026.
Fernando Montenegro, VP at Futurum, shares new research identifying AI/ML workloads and hybrid work as the top drivers for network security architecture, as organizations prioritize operational efficiency and data sovereignty.
Nick Patience, VP & AI Platforms Practice Lead at Futurum, explains how Hybrid and Edge AI will redefine the market, capturing 43.5% share by 2030 as enterprises shift from cloud-only strategies to localized inference for better privacy and latency.