AI & TECH

Your source of truth for the AI, Cloud, & Tech market insights

Understand how B2B and B2C technology spend trends are shaping growth across the hyperscalers, frontier model providers, and software vendors with invoice-level data on market share, growth, consumer & enterprise behavior, and token usage.

Whether you support strategy, marketing, monetization, product, or investor relations, we have unmatched transparency into the market landscape.

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Wallet Share & Customer Behavior

Understand enterprise cloud, AI and software customer wallet share and switching behavior.

Pricing
Decisions

Stay competitively positioned by mapping the landscape on what customers actually pay.

Product & Industry Growth Trends

Break down growth by product, industry, and customer to see exactly where you're winning or losing.

Partner Behavior
& Strategy

Compare how your key partners (hyperscalers or frontier labs) are performing with your peers.

A single source of truth for frontier model providers, hyperscalers, and enterprise software companies.

Our proprietary approach combines numerous B2B panels, encompassing billions in spend, with expert insights to give you the most accurate view of fast-evolving trends in AI, Cloud, and Software

Helpful resources

Report

June 2026 Generative AI Market Report

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.

Blog

What Can Nearly 2 Quadrillion Annualized Tokens Tell Us About LLM Pricing Trends?

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.