Daily, invoice-level visibility into $1.8T+ in annual B2B software, cloud, and AI spend. Built on YipitData’s Proprietary Data Network trusted by 700+ corporations and investors.
in annual B2B software, cloud, and AI
spend
private companies
Track adoption, spend, and growth signals across 250K+ private companies to quickly narrow your search to the inflecting names worth your time.
Walk in already knowing a company’s ACV trends, retention, and switching behavior, so the conversation starts at the hard questions, not the intro deck.
A company’s reporting is quarterly and curated.Independent B2B spend data shows whether reportedgrowth holds or adoption and retention are quietlysoftening.
Most alternative-data providers estimate B2B spend by extrapolating
from consumer panels. They read around the business, not into it.
YipitData captures adoption, spend, ACV, churn, retention, and switching
behavior directly, across 250K+ private companies.
Signals platform: Self-serve access to company-level software and AI spenddata you can slice and monitor on your own.
Sector-specific reports: Research on categories including generative AIadoption and spend, drawing on the same underlying data and more.
Self-serve access to company-level spend,adoption, and retention data — built for private-market workflows.
Sector reports on AI and software adoption,including coverage of leading AI/LLM providers.
Raw and processed feeds for teams building theirown diligence or monitoring models.
The Generative AI market continues to evolve as frontier models, cloud providers, consumer AI platforms, and developer tools compete for adoption and market share. This report covers the latest trends across AI applications, cloud APIs, enterprise spending, consumer subscriptions, and AI infrastructure.
Token pricing has become one of the biggest questions in AI as usage surges and model providers compete aggressively on cost. But what do real-world pricing trends actually look like? Drawing on nearly 2 quadrillion annualized tokens across enterprise and developer ecosystems, YipitData examines how effective LLM pricing has evolved in 2026, why headline API rates often miss the full picture, and what the data reveals about the diverging behaviors of enterprises and developers.
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