List of Amazon Device Farm Customers
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Since 2010, our global team of researchers has been studying Amazon Device Farm 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 Amazon Device Farm for Test Automation Platform 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 Amazon Device Farm for Test Automation Platform include: Ihs, a United States based Professional Services organisation with 8600 employees and revenues of $2.58 billion, Etsy, a United States based Retail organisation with 2790 employees and revenues of $2.57 billion, Tnear, a South Korea based Professional Services organisation with 13 employees and revenues of $2.8 million and many others.
Contact us if you need a completed and verified list of companies using Amazon Device Farm, 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 Amazon Device Farm 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 | Insight Source |
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Etsy | Retail | 2790 | $2.6B | United States | Amazon Web Services (AWS) | Amazon Device Farm | Test Automation Platform | 2015 | n/a | In 2015 Etsy implemented Amazon Device Farm as part of its QA / mobile app testing strategy in the United States. Etsy integrated Amazon Device Farm with continuous integration tooling to orchestrate cross device automated test runs and scale parallel execution across physical and virtual devices. The company presented its implementation approach and lessons learned at an AWS re:Invent session, describing how Amazon Device Farm was used with CI to manage automated test suites. This deployment targeted mobile QA and release workflows for Etsy's mobile applications. Operationally Amazon Device Farm was embedded into Etsy's CI pipeline to trigger device matrix tests, reduce manual exploratory testing, and improve mobile release quality. The implementation emphasized cross device compatibility testing and test automation orchestration, impacting mobile engineering and QA teams responsible for release gating. Governance relied on CI driven test orchestration and automated gating of mobile releases as outlined in the public session materials. Outcomes reported in the session included scaled cross device automated testing, reduced manual testing effort, and improved confidence in mobile releases. | |
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Ihs | Professional Services | 8600 | $2.6B | United States | Amazon Web Services (AWS) | Amazon Device Farm | Test Automation Platform | 2015 | n/a | In 2015 Ihs implemented Amazon Device Farm for QA / mobile app testing across its United States QA organization. The deployment used Amazon Device Farm to perform automated mobile testing and to feed device logs and performance metrics into existing continuous integration and monitoring pipelines. Amazon Device Farm was configured to run parallel test suites orchestrated from Jenkins, with scheduled parallel runs across multiple real devices. The implementation collected device logs and performance counters and exported metrics to Graphite for time series analysis and CI visibility. Functional emphasis included automated instrumentation, parallel execution, and consolidated log and metric aggregation. Operational coverage focused on mobile QA and engineering teams in the United States, aligning test orchestration with Jenkins job scheduling and CI gating workflows. The architecture positioned Amazon Device Farm as the device execution layer, streaming test artifacts into CI and monitoring systems to enable automated build gating and investigative telemetry. Governance relied on CI pipeline rules and test scheduling policies to manage execution and results retention. In re:Invent session coverage IHS described that the Amazon Device Farm integration increased test coverage and accelerated bug detection by enabling parallel runs and consolidated device level telemetry. This implementation shows Amazon Device Farm used as an integrated testing and monitoring component for QA / mobile app testing. | |
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Tnear | Professional Services | 13 | $3M | South Korea | Amazon Web Services (AWS) | Amazon Device Farm | Test Automation Platform | 2024 | n/a | In 2024, Tnear implemented Amazon Device Farm for QA / mobile app testing to automate UI and functional testing across its mobile development lifecycle. The deployment focused on accelerating pre-release validation for Tnear's mobile applications within its South Korea operations, with Amazon Device Farm used to run orchestrated test executions and capture device-level artifacts and logs. Amazon Device Farm was integrated directly into Tnear's Fastlane CI pipeline to automate test invocation, collect results, and manage test suites as part of pipeline lanes. Test outcomes and notifications were routed to Slack to support rapid triage and developer feedback loops, and the configuration emphasized parallelized remote device execution and automated result aggregation for UI and functional test suites. Operational governance centered on the QA and mobile engineering teams, standardizing Fastlane lanes and Slack channels for release readiness reviews and defect triage. According to an AWS blog cited by Tnear, the Amazon Device Farm deployment delivered roughly 60% shorter test times, approximately 30% higher pre-release defect detection, and about 25% savings on device procurement costs. |
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