List of GitHub Copilot Customers
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Since 2010, our global team of researchers has been studying GitHub Copilot customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased GitHub Copilot for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using GitHub Copilot for Generative AI Platforms include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, Accenture India, a India based Professional Services organisation with 350000 employees and revenues of $12.00 billion, Allpay, a United Kingdom based Banking and Financial Services organisation with 323 employees and revenues of $62.9 million and many others.
Contact us if you need a completed and verified list of companies using GitHub Copilot, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The GitHub Copilot customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Accenture India | Professional Services | 350000 | $12.0B | India | GitHub | GitHub Copilot | Generative AI Platforms | 2022 | n/a |
In 2022 Accenture India piloted GitHub Copilot and subsequently scaled Copilot Business across approximately 12,000 developer seats. The implementation focused on software development workflows across Accenture's global teams, with the company headquartered in Ireland, and targeted coding productivity, automated test generation, and technical debt remediation.
GitHub Copilot was embedded into developer workflows to accelerate coding and to assist with writing tests and refactoring tasks, leveraging generative code completion and context-aware suggestions common to Generative AI Platforms. The deployment emphasized operational use by software engineering and QA teams, aligning Copilot outputs with existing code review and development lifecycle practices.
Accenture adopted GitHub Advanced Security alongside GitHub Copilot to add code scanning and security feedback into the same developer toolchain, creating an integrated developer experience that pairs generative assistance with security controls. The rollout moved from a mid-2022 pilot to broader provisioning across engineering communities, with organization-level seat management and governance guiding use and access.
The program was reported to drive higher developer satisfaction and faster delivery according to public GitHub customer notes, with Copilot Business serving as the core Generative AI Platforms implementation for Accenture's software development function.
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Allpay | Banking and Financial Services | 323 | $63M | United Kingdom | GitHub | GitHub Copilot | Generative AI Platforms | 2024 | n/a |
In 2024, Allpay implemented GitHub Copilot as part of its Azure migration to accelerate development and to modernize legacy code. The deployment targeted development and engineering workflows in the United Kingdom, focusing on day-to-day software delivery activities across its engineering organization.
GitHub Copilot was provisioned to provide in-editor code suggestions, automated unit-test scaffolding, and contextual code-completion assistance aligned with standard Generative AI Platforms capabilities. Configuration emphasized developer productivity features and use-case specific prompt patterns to speed routine tasks and support code quality checks.
The implementation was integrated alongside the Azure migration effort, embedding Copilot into existing developer toolchains and source control workflows to shorten test creation and review cycles. Operational coverage remained centered on engineering teams, with the application used to support coding, unit-test generation, and release preparation activities.
Rollout included governance adjustments to manage AI-assisted code contributions and to align workflows with engineering quality standards. Reported outcomes included a roughly 10% boost in developer productivity, use-case-specific time savings up to 80%, faster unit-test creation, improved code quality, and a reported 25% increase in annual releases to production following the GitHub Copilot deployment.
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Microsoft | Professional Services | 221000 | $243.0B | United States | GitHub | GitHub Copilot | Generative AI Platforms | 2022 | n/a |
In 2022, Microsoft ran a large randomized field experiment that provisioned GitHub Copilot across engineering and developer workflows, classifying the deployment under the Generative AI Platforms category. The study targeted developers across Microsoft, including United States and global teams, to evaluate effects on software development throughput and code review cadence.
GitHub Copilot delivered context aware code completion, inline code suggestions and AI assisted code generation as part of standard developer workflows, supporting pull request creation and iterative coding tasks. The implementation involved provisioning Copilot access to developer IDEs and source control workflows and instrumenting developer activity to capture contribution and pull request metrics.
The randomized field experiment ran from September 2022 to March 2023, structured as a controlled treatment and measurement program with governance focused on access controls and telemetry collection. During the trial treated developers completed roughly 12.9% to 21.8% more pull requests per week, a measured productivity signal used to assess operational impact across engineering and developer functions.
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Buyer Intent: Companies Evaluating GitHub Copilot
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