Executive Summary

Too much research time is a pervasive drag on decision-making for product managers, strategy teams, consultants, and SMB leaders who face fragmented sources, one-off reports, and stale insights that slow execution. With about 200 million businesses globally, most organizations cannot afford full-time research teams, creating demand for affordable, continuous research automation. You could build a platform of autonomous AI agents orchestrated into continuous research pipelines that discover sources, synthesize findings into structured, timestamped reports, and continuously update as new information arrives—delivered via an enterprise-grade subscription (baseline assumption $400/year) with verticalized templates, integrations, provenance tracking, alerting, and human-in-the-loop review for high-stakes outputs. Expect real engineering and operational work: preventing hallucinations, maintaining connectors, validating models, and providing auditability and SLAs requires sustained investment in QA and domain expertise. The market is timely and attractive: a plausible TAM of $80.0B (200M businesses × $400/year), a market score of 92/100 and revenue potential 88/100 reflect strong tailwinds from AI agents and orchestration, subscriptionized knowledge, and verticalization, while competition is medium. To stand out, prioritize trustworthy, measurable accuracy and transparent provenance, offer industry-specific templates and integrations, and plan go-to-market around vertical partners and clear compliance guarantees—recognizing the hard work required to build trust and scale.

Market Opportunity

Too much research time → autonomous AI agents that find, synthesize, update targets a $80.0B = 200M businesses globally × $400/year enterprise-grade research automation subscription total addressable market with medium saturation and a year-over-year growth rate of 22% (SaaS + AI-enabled productivity tools adoption).

Key trends driving demand: AI agents & orchestration -- makes continuous, autonomous research pipelines feasible and lowers marginal cost per report.; Subscriptionization of knowledge -- teams prefer recurring, on-demand intelligence rather than one-off reports.; Verticalization of AI tools -- industry-specific templates increase ROI and adoption in SMA/SMB segments.; RAG + vector DBs maturation -- enables up-to-date synthesis from large, heterogeneous corpora..

Key competitors include AlphaSense, Klue, Perplexity.ai, Elicit (Ought), DIY Workarounds (Google Search + Sheets + Zapier).

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Too much research time → autonomous AI agents that find, synthesize, update

Executive Summary

Market Validation

Market Opportunity

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