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Table of Contents Multi-Cloud Distribution Claude is available across the three major cloud platforms via their dedicated AI service layers (Amazon Bedrock, Gemini Enterprise Agent Platform, and Microsoft Foundry), ensuring that organizations can deploy our models within the infrastructure they already use and trust, while providing enterprises with deployment flexibility and avoiding vendor lock-in. Our Customers Organizations around the world rely on Claude. We serve a breadth of customers, from the largest enterprises to AI-native companies, government and research institutions, as well as prosumers. As of September 30, 2026, our customers with $100,000 or more of revenue on a TTM basis included every company in the Fortune 10, over 50% of the Fortune 500, and over 30% of the Global 2000. Across industries, enterprises deploy Claude in mission-critical production workflows—for example, underwriting insurance policies, writing clinical reports for life-saving drugs, detecting and remediating cybersecurity threats, and analyzing portfolios for asset managers. Claude has achieved particularly deep adoption in highly regulated sectors where the cost of unreliable AI is prohibitive and trust cannot be retrofitted. In addition, leading AI-native companies build next-generation coding tools, design platforms, and productivity applications on Claude. Government and research institutions also apply Claude to work that ranges from materials science to energy security; mission-driven organizations use Claude to compress the expected timeline of scientific research, clinical workflows, and the delivery of public benefits. Our customer base has grown rapidly in both the number and scale of customer relationships, with organizations expanding from initial use cases into enterprise-wide production deployments. As of September 30, 2026, we had more than 11,900 customers with $100,000 or more of revenue on a TTM basis, up from more than 950 as of September 30, 2025. Our customers fall into two primary categories: enterprises and prosumers. Enterprises Our enterprise customers include a wide range of organizations deploying AI at scale, from AI-native startups building products to the world’s largest organizations that require enterprise-grade security, governance, and compliance before a single workflow impacts production. We serve this full spectrum from a single composable platform, providing frictionless access to our frontier models as well as the controls customers require, such as single sign-on, audit logging, data retention policies, role-based access controls, and native deployment within their existing cloud infrastructure. Software developers remain a critical adoption force within enterprises: they are simultaneously customers, the architects of applications built on our platform, and the internal champions of organization-wide adoption. Software developers use Claude Code and the Claude Platform to write, debug, and ship production-quality code faster—architecting systems, implementing features, building agentic workflows, and resolving complex issues in hours that previously took days. These production deployments surface the governance, reliability, and integration requirements that only emerge under real enterprise load, which creates feedback that flows back into our roadmap and deepens our customer relationships with every release. Prosumers Knowledge workers, including researchers, developers, analysts, and writers, subscribe to Claude Pro and Claude Max to perform complex cognitive work, including drafting analyses, synthesizing research, writing and reviewing code, building financial models, and automating workflows. With Claude Cowork, non-technical prosumers build agentic workflows across their applications without writing code, accomplishing in minutes what previously required hours of manual effort. Prosumers are some of our earliest adopters and often among our most discerning users. They test out capabilities within hours of the release of a model, push the latest version of Claude into use cases we may not have anticipated, and discover edge cases and failures that sharpen each successive version of a Claude model. 206
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