List of AWS Bedrock Customers
Amazon Web Services (AWS)
410 Terry Avenue North,
Seattle, 98109-5210, WA,
United States
Seattle, 98109-5210, WA,
United States
1 206-266-1000
Professional Services
135000
$128.7B
Since 2010, our global team of researchers has been studying AWS Bedrock 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 AWS Bedrock 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 AWS Bedrock for Generative AI Platforms include: BMW, a Germany based Automotive organisation with 157457 employees and revenues of $165.84 billion, Sony, a Japan based Manufacturing organisation with 113000 employees and revenues of $93.01 billion, AstraZeneca, a United Kingdom based Life Sciences organisation with 94300 employees and revenues of $73.98 billion, Swisscom, a Switzerland based Communications organisation with 19887 employees and revenues of $13.74 billion, OBI Group Holding, a Germany based Retail organisation with 40000 employees and revenues of $9.55 billion and many others.
Contact us if you need a completed and verified list of companies using AWS Bedrock, 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 AWS Bedrock 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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AstraZeneca | Life Sciences | 94300 | $74.0B | United Kingdom | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
In 2025, AstraZeneca deployed AWS Bedrock as part of a Generative AI Platforms implementation to power Development Assistant, a multi-agent AI application used across clinical development, regulatory, patient safety, and quality functions. Development Assistant uses conversational natural language queries to surface actionable insights from both structured and unstructured R&D data, reducing the time to answer complex questions from hours to minutes. This implementation positions AstraZeneca AWS Bedrock Generative AI Platforms to accelerate decision making across its drug development pipeline toward the company’s 2030 objectives.
The solution architecture centers on a multi-agent design enabled by Amazon Bedrock Agents, with a supervisor agent routing prompts to specialized subagents such as terminology, clinical, regulatory, and database agents. Development Assistant combines text-to-SQL generation with retrieval-augmented generation to translate domain queries into executable queries against standardized data products. The implementation leverages AstraZeneca’s Drug Development Data Platform, which ingests clinical, regulatory, quality, and safety sources and aligns them to controlled vocabularies to produce findable, accessible, interoperable, and reusable datasets.
Integrations were implemented to connect the multi-agent system to company systems, APIs, and the 3DP data products, enabling transparent access to the underlying tables and provenance for returned results. Operational coverage explicitly includes clinical development, regulatory, patient safety, and quality teams, and the platform was scaled into production for more than 1,000 users. The configuration emphasizes domain-aware agents to maintain performance and contextual accuracy for R&D workflows.
Governance and rollout followed a production-ready pathway, moving Development Assistant from concept to production in six months while completing cybersecurity and AI governance checks. The deployment includes built-in guardrails and transparency features that show which data tables were accessed and how answers were generated. AstraZeneca and AWS plan to expand the application beyond clinical trials into other R&D domains, with the current implementation already delivering faster insights and documented cost savings within the constrained scope described.
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BMW | Automotive | 157457 | $165.8B | Germany | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
In 2025 BMW deployed AWS Bedrock as a Generative AI Platforms implementation to automate and accelerate root cause analysis for cloud incidents affecting its BMW Connected Company services and a connected fleet of more than 23 million vehicles. The deployment centers on Amazon Bedrock Agents built on the ReAct reasoning and action framework, combining generative AI reasoning with executable tools to replicate engineer workflows for incident diagnosis.
The implementation architecture uses Amazon Bedrock Agents orchestrating a set of Lambda-implemented tools, each mapped to a discrete capability. The Architecture Tool consumes C4 diagrams surfaced via Structurizr to provide component topology and dependency context, the Logs Tool queries CloudWatch Logs Insights for event pattern detection, the Metrics Tool analyzes CloudWatch metrics and alarms for statistical anomalies, and the Infrastructure Tool interrogates AWS CloudTrail for control plane events such as security group and configuration changes. Agents sequence tool invocations iteratively to form and refine hypotheses, and agents present ordered hypotheses to engineers for human-in-the-loop validation.
Integrations are explicit to AWS observability and control plane services, including Amazon CloudWatch, CloudWatch Logs Insights, AWS CloudTrail, and AWS Lambda, with evidence aggregated in a cross account observability setup spanning BMW’s multi regional AWS footprint and some workloads hosted elsewhere. Operational scope includes SRE and engineering teams responsible for connected services, on call incident engineers who interact directly with the agent, and junior engineers who use the agent’s findings to accelerate learning and troubleshooting.
Governance and process changes center on the ReAct agent workflow, which enforces iterative reasoning, targeted tool use to minimize unnecessary queries, and a human-in-the-loop approval model for final remediation steps. The solution moved through a proof of concept where the automated RCA agent identified the correct root cause in 85 percent of test cases and demonstrated significantly lower diagnosis times, reducing investigations that previously could take hours to minutes. AWS Bedrock and its agent tooling are organized for modular extension, enabling BMW to tailor additional diagnostic capabilities as new services and observability sources are onboarded.
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Cox Automotive | Professional Services | 29000 | $9.4B | United States | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
In 2025, Cox Automotive deployed AWS Bedrock as part of its Generative AI Platforms strategy, using Bedrock’s AgentCore capabilities to operationalize agentic workflows. Cox Automotive implemented AWS Bedrock to support a spectrum of AI agents, ranging from virtual assistants that improve omnichannel dealer experience to an agentic marketplace that streamlines vehicle discovery and buying, aligning the application with sales and customer engagement business functions.
The implementation centers on AgentCore services within AWS Bedrock, specifically Runtime for secured deployments, Observability for monitoring agent behavior and performance, and Identity for authentication and access control. Configuration emphasis was placed on agent lifecycle controls, secure runtime sandboxes, and telemetry pipelines for observability, enabling product teams to develop, test, and iterate on agent behaviors consistent with Generative AI Platforms capabilities.
Operationally the deployment targets enterprise-wide adoption across product and customer experience teams, integrating agent outputs into dealer-facing omnichannel workflows and marketplace processes for vehicle discovery and purchase. Governance is anchored by Identity and Observability to enforce authentication, traceability, and monitoring during rollout, and the explicit outcome reported is improved team efficiency in developing and testing agents as Cox Automotive scales AI across the enterprise using AWS Bedrock.
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Epsilon, part of Publicis Groupe | Professional Services | 8000 | $820M | United States | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
In 2025, Epsilon implemented AWS Bedrock as its Generative AI Platforms foundation to transform marketing operations. The deployment leveraged Amazon Bedrock AgentCore to orchestrate intelligent agents that automate complex campaign workflows across Epsilon's marketing organization, focusing on campaign setup, personalization logic, and execution orchestration.
The implementation used AgentCore capabilities for agent development, orchestration, and lifecycle governance, with explicit configurations to maintain enterprise-grade security and compliance controls. Functional modules and capabilities implemented included intelligent agent automation for campaign workflows, reusable agent components for personalization, and automated monitoring and control points to enforce compliance during runtime. Epsilon reported an acceleration of agent development cycles from months to weeks, enabling faster iteration on reusable agent patterns.
Operational scope centered on marketing operations and campaign teams, delivering personalized marketing experiences at scale while reducing operational overhead. Governance emphasized secure agent provisioning, access control, and compliance checkpoints integrated into agent lifecycles, aligning operational processes with the Generative AI Platforms architecture. Outcomes cited by Epsilon include accelerated agent development and scaled personalization while preserving enterprise security and compliance.
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Ericsson | Professional Services | 88826 | $237M | Sweden | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
In 2025 Ericsson deployed AWS Bedrock to operationalize agentic R&D and engineering workflows across its networks business. The implementation uses AWS Bedrock within the Generative AI Platforms category to host AgentCore-driven agents that orchestrate engineering tasks and scale automated processes for tens of thousands of engineers in Sweden and globally.
The deployment centers on AgentCore capabilities inferred from the cited architecture, including runtime components that manage agent lifecycle and observability tooling that captures agent behavior and telemetry. AWS Bedrock provides the managed model hosting and inference plane, while AgentCore supplies orchestration, task decomposition, and state management functions consistent with enterprise generative AI operational patterns.
Operational scope explicitly covers R&D and engineering functions inside Ericsson Networks, with rollout extending from Sweden to broader global teams in the networks business. The configuration supports agentic workflows at scale, enabling engineers to invoke, monitor, and iterate on autonomous agents as part of engineering and product development processes.
Governance and process changes emphasize agent lifecycle controls, observability-driven monitoring, and staged operationalization to manage agent behavior across engineering teams. The cited deployment delivered double-digit gains across tens of thousands of engineers in the networks business, reflecting substantive productivity improvements tied to the AWS Bedrock and AgentCore agentic implementation.
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Professional Services | 22500 | $7.5B | Ireland | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
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Retail | 40000 | $9.6B | Germany | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2024 | n/a |
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Life Sciences | 120 | $30M | Germany | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2024 | n/a |
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Banking and Financial Services | 3907 | $1.7B | Switzerland | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
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Banking and Financial Services | 2300 | $3.0B | United States | Amazon Web Services (AWS) | AWS Bedrock | Generative AI Platforms | 2025 | n/a |
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Buyer Intent: Companies Evaluating AWS Bedrock
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD AWS Bedrock Coverage
AWS Bedrock is a Generative AI Platforms solution from Amazon Web Services (AWS).
Companies worldwide use AWS Bedrock, from small firms to large enterprises across 21+ industries.
Organizations such as BMW, Sony, AstraZeneca, Swisscom and OBI Group Holding are recorded users of
AWS Bedrock for Generative AI Platforms.
Companies using AWS Bedrock are most concentrated in Automotive, Manufacturing and Life Sciences, with adoption spanning over 21 industries.
Companies using AWS Bedrock are most concentrated in Germany, Japan and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of AWS Bedrock across Americas, EMEA, and APAC.
Companies using AWS Bedrock range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 13.33%, large organizations with 1,001-10,000 employees - 26.67%, and global enterprises with 10,000+ employees - 60%.
Customers of AWS Bedrock include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified AWS Bedrock customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.