Static reports can’t keep up with how fast markets, competitors, and buyers change.
Futurum replaces that model with the Futurum Intelligence Platform, an AI-powered, self-service engine that puts the freshest market data, decision-maker insights, and vendor evaluations—all backed by Futurum analysts—at your fingertips.
6M+
Verified Data Points
50K+
Daily Market Signals
200+
Fortune 500 Clients
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Seconds to Insight
Transform how you interact with intelligence. Unify data, AI, and analyst expertise to quickly turn insights into action.
Market and buyer intelligence you can filter, export, and trust across 11 practice areas with 5-year forecasts.
The first real-time predictive vendor evaluator that gives you analyst context with continuously refreshed market signals.
Predictive vendor scoring 6-12 months out
AI-driven forecasting with analyst-verified evaluations
Instant, analyst-grade synthesis turns your questions into cited insights, summaries, and decision-ready outputs.
Deep-dive research and advisory delivered through the platform, backed by domain expertise across 11 practice areas.
Competitive intelligence and market coverage reports
Business value research
Custom research
Bring a company or market you care about. We’ll show you what Futurum can surface in real-time.
Static intelligence can’t keep up with how fast markets and buyers move. The Futurum Intelligence Platform combines continuously refreshed data, analyst expertise, and AI to deliver decision-ready intelligence that stays current as the world changes.
Futurum Signal is a real-time, predictive vendor evaluation model.
It continuously ingests market signals, applies analyst-defined scoring, and forecasts vendor momentum 6–12 months ahead, so you can act on what’s happening now, not what was true last quarter.
Bring credibility to competitive decisions with analyst-backed vendor evaluations.
Four proprietary data layers – exclusive partnerships, primary research, and 35+ curated datasets – powering intelligence no LLM can replicate.
Live market sizing, vendor tracking, and competitive landscapes across 11 practice areas. 50K+ signals ingested daily from 35+ proprietary web datasets covering 500K+ technology companies.
Primary research from 850+ verified technology decision-makers representing $2T+ in annual IT spend. What buyers actually think – segmented by company size, vertical, role, and geography.
The industry’s first real-time, predictive vendor evaluation model. Al-generated 1-100 scores across 5 dimensions – refreshed with every earnings call and product launch. Forecasts market position 6-12 months ahead.
Exclusive partnership with G2, the world’s largest software marketplace. 6M+ verified peer reviews plus real-time buyer intent data showing which vendors are being actively evaluated – purchase signals no LLM can fabricate.
Every signal, score, and forecast is verified by domain experts who train the models, validate the data, and ensure every output is decision-ready.
CEO
Forbes, CNBC, 200+ Fortune 500 relationships
Chief Strategy & Research Officer
Former Gartner Research Fellow & Salesforce SVP
VP, CIO Practice
Enterprise Digital Transformation
VP & Practice Lead
AI Platforms & Data Intelligence
Olivier Blanchard breaks down Apple’s (AAPL) earnings setup as the company approaches a leadership transition and refocuses on hardware innovation. He argues Apple’s measured, late‑mover approach to AI helps it avoid costly capex pitfalls facing other big tech firms, while preserving flexibility through partnerships. Blanchard also highlights the growth of services, the iPhone 17 cycle, and Apple’s push into more affordable Macs as key drivers of long‑term value.
Microsoft, Google, Amazon, and Meta reported earnings last night — three upped already-giant capex commitments. Cloud numbers justify the spend, but free cash flow is collapsing across the group, and Meta shows how fragile that bargain is. Daniel Newman of Futurum Group breaks it down. Plus: AI is getting pricier in America while Chinese alternatives — DeepSeek, Kimi, and others — run at a fraction of OpenAI and Anthropic’s cost. Futurum CEO, Daniel Newman on the gap and what enterprises are doing.
Companies are looking into ways to better utilise GPUs and manage the AI workload costs using software, orchestration and commodity chips.
Futurum president Dan O'Brian breaks down some of this week's Mag 7 earnings by highlighting ongoing supply constraints across the industry. He reviews how major AI stocks are performing on a broader scale with a close eye on Apple (APPL) and notes on what investors can expect to be surprised by this week. Dan also weighs on AI CapEx and the roadmap for Big Tech firms to deliver on ROI.
The social-media giant enters multiyear agreement to use Amazon Web Services’ Graviton CPU chips to power its AI agent efforts
Claude Opus 4.7 users report self-contradicting responses and degraded performance, raising questions about AI model quality, safety tradeoffs, and shrinkflation.
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