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Large Language ModelsAI Business & IndustryPublickeyPublished: Jul 22, 2026, 01:01 JST

Anthropic leads AI tool growth; Microsoft 365 dominates by account count

Anthropic leads AI tool growth; Microsoft 365 dominates by account count

3 Key Points

  1. What happened

    Okta, an identity management platform provider, analyzed anonymized access data from over 20,000 companies and found that Anthropic has the highest growth rate in enterprise AI tool adoption over the four-year period from June 2022 to June 2026, with a score of 100 compared to OpenAI (66.9), Google Workspace (59.8), GitHub (56.6), and Cursor (42.4).

  2. Why it matters

    Microsoft 365 currently leads in total enterprise account count, but Google Workspace is rapidly catching up. Meanwhile, Anthropic's enterprise accounts are projected to grow sharply from January 2026 onward, while OpenAI and Cursor's growth is moderating—signaling a shift in how enterprises are adopting and distributing their AI spending across multiple vendors. About 57% of enterprises are now using two or more AI platforms simultaneously, choosing tools based on what works best for their needs.

  3. What to watch

    The analysis covers foundation models, developer tools, enterprise search, collaboration and productivity, voice transcription and meeting AI, and creative suites—but excludes vertical-specific business systems, AI via cloud infrastructure, and cybersecurity AI. Okta's data spans the largest publicly visible cohort of enterprise AI adoption to date.

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Context & Analysis

Okta's analysis, based on data from over 20,000 enterprises, offers one of the largest real-world windows into enterprise AI adoption trends. The divergence between growth rate and absolute account count tells a clear story: while Microsoft 365 maintains the largest enterprise footprint (benefiting from deep Office integration), newer or more specialized AI vendors are growing faster. Anthropic's four-year growth rate of 100—more than 50% higher than OpenAI's 66.9—reflects rapid adoption of Claude among enterprises since the model's launch, while OpenAI's slower relative growth may reflect market saturation or switching behavior as enterprises evaluate alternatives.

The finding that 57% of enterprises use multiple AI platforms simultaneously signals a structural shift away from "best-of-breed" consolidation and toward a composable AI stack. Companies are no longer waiting for one vendor to solve all AI needs; instead, they are choosing Anthropic for certain tasks, Microsoft for others, Google for still others. This fragmentation is particularly visible in the diverging trajectories after January 2026: Anthropic accounts are projected to accelerate sharply, while OpenAI and Cursor show moderating growth—a sign that enterprises are actively rebalancing their AI portfolios. The scope limitations (excluding vertical-specific systems, cloud-delivered AI, and security AI) mean this data captures primarily horizontal AI tools, not the full enterprise AI market, but within that segment, the competitive intensity and specialization are clear.

FAQ
How is Anthropic growing faster than OpenAI if Microsoft 365 has more accounts?
The growth rate measures change in enterprise accounts from June 2022 to June 2026, where Anthropic scored 100 and OpenAI scored 66.9—meaning Anthropic added accounts more rapidly over that period. Microsoft 365 has more total accounts today, but it is not ranked in the growth-rate chart; instead, Google Workspace (59.8) ranks third in growth, showing newer entrants are growing faster than established players.
What kinds of AI tools were included in Okta's survey?
The study covered foundation models, developer tools, enterprise search, collaboration and productivity tools, voice transcription and meeting AI, and creative suites for knowledge workers and software developers. It excluded vertical-specific business systems, AI delivered via cloud infrastructure, and cybersecurity AI.
Are companies replacing one AI tool with another, or using multiple?
About 57% of enterprises use two or more AI platforms simultaneously, selecting tools based on what works best for each use case rather than committing to a single vendor.

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