How Ramp’s Data Redefines the Fastest-Growing AI Products
The fastest growing AI products, as defined by Ramp’s market share data, are software tools that display the largest gains in real customer spend over time, revealing where enterprises shift budgets rather than where social buzz or funding headlines concentrate. Ramp’s June report splits vendors into two key lenses: “Fastest Growing,” based on absolute market share gains, and “Trending,” based on breakout growth relative to company size. This structure makes the rankings a useful signal of AI market share trends instead of a popularity contest. Because Ramp measures actual business payments, the list points to where AI software vendors are winning repeat, production-grade usage. For buyers and builders, the data highlights a maturing enterprise AI adoption curve: foundational models moving into core workflows, AI productivity tools becoming standard utilities, and infrastructure platforms forming the spine of day‑to‑day AI operations.
Anthropic, Claude Code and the New Enterprise AI Core
On Ramp’s fastest-growing AI products list, Anthropic stands out as the clearest signal that foundational models are now central enterprise infrastructure. Claude Code’s annualized run-rate revenue has crossed USD 2.5 billion, more than doubling since the start of the year, and eight of the Fortune 10 are now customers. That combination of scale and growth shows that large organizations are not just experimenting with large language models, but wiring them into key workflows. Anthropic’s push into finance, with Claude-powered valuation reviews, report generation and month-end close inside Microsoft 365, underlines this shift. The product is no longer framed as a lab project; it is a paid line item for finance, legal and engineering teams. For AI software vendors, this is a benchmark: winning market share now means owning concrete, repeatable use cases embedded in existing enterprise stacks.
Productivity, Design and Search: Where AI Is Becoming Everyday Software
Beyond foundational models, Ramp’s fastest-growing list shows AI blending into familiar categories like productivity, design and search. Granola, an AI notetaker, has grown by making meeting transcription and summarization feel like a background utility rather than a disruptive add-on, which signals that AI note tools are moving from experimental pilots to standard practice. Canva’s rise in content creation demonstrates how non-designers now generate graphics and presentations with AI built into their default platform, not a separate tool. Grammarly, long associated with spell-check, has expanded into rewrites, tone control and generative drafting, yet still ranks among the fastest growing based on business spend, which implies strong enterprise trust in its security and brand. Perplexity AI’s appearance in search and research highlights another shift: teams are starting to pay for AI-native search experiences, not relying only on traditional engines, as they look for faster, source-linked answers.
Developer Stack Consolidation: Vercel, Netlify and the Infrastructure Layer
Ramp’s data shows developer infrastructure emerging as a quiet winner in AI market share trends. Both Vercel and Netlify appear in the Web Hosting & Site Builders category of the fastest-growing AI products, an unusual case where direct competitors expand at the same time. Their growth is tightly linked to the rise of AI coding assistants such as Claude Code and GitHub Copilot, which shorten development cycles and push more code into production. Teams that ship faster need deployment platforms that keep up, and Git-integrated, zero-config pipelines have become a default choice. The result is a kind of duopoly in modern web deployment for AI-heavy applications. This is a reminder that enterprise AI adoption is not only about models and copilots; it also rests on the hosting, routing and build systems that can absorb accelerated release patterns and keep costs predictable at scale.
Trending Upstarts: DeepSeek, Model Serving Platforms and SEO AI
Ramp’s “Trending” list, which tracks breakout growth relative to company size, shines a light on newer AI software vendors that are gaining momentum ahead of their revenue base. DeepSeek leads this ranking in foundational LLMs, with its R1 and V4-Pro models winning workloads by combining benchmark parity with permissive open-source licensing. The trend side also reveals where infrastructure is heating up: Fireworks AI, fal AI and DeepInfra, all in model serving and inference, are growing as teams deploy open-source models without running their own clusters. Vast.ai’s rise in GPU cloud points to cost pressure, as companies favor peer-to-peer compute markets over traditional hyperscalers. Meanwhile, Sitebulb and DataForSEO show SEO tooling getting an AI upgrade, aligning with the way AI-powered search engines such as Perplexity reshape discovery. Together, these trends expose the gap between hype cycles and the quieter, durable commercial traction forming beneath them.
