Brand Intelligence Graphplatform
Company Overview
About AWS
Amazon Web Services (AWS) is the cloud computing division of Amazon.com, Inc. (NASDAQ: AMZN) — headquartered in Seattle, Washington — operating the world's largest and most comprehensive cloud platform with 200+ services spanning compute (EC2, Lambda, ECS, EKS), storage (S3, EBS, EFS), databases (RDS, DynamoDB, Redshift, Aurora), AI and machine learning (SageMaker, Bedrock, Rekognition, Polly), networking (VPC, Route 53, CloudFront CDN), developer tools (CodeBuild, CodeDeploy, CodePipeline), and industry-specific cloud services for healthcare, financial services, and government. AWS generated $115 billion in revenue in fiscal year 2024 (+18% year-over-year) and $33 billion in Q3 2025 revenue (+20% year-over-year), maintaining approximately 30% global cloud infrastructure market share as the largest of the three dominant hyperscale cloud providers.
Business Model & Competitive Advantage
AWS's market position rests on its 2006 first-mover advantage (S3 and EC2 launched in 2006, establishing AWS as the default cloud platform during the pivotal decade of enterprise cloud migration) and its depth of service portfolio: AWS offers 200+ services compared to Azure's 200+ and Google Cloud's 150+, but AWS's services have the longest track record of production deployments, the most mature pricing models, and the deepest partner ecosystem (100,000+ APN partners providing migration, managed services, and industry solutions). The AWS Marketplace (10,000+ third-party software listings deployable directly into AWS accounts) and the 4.19 million active AWS customers (357% growth since 2020) create the platform flywheel — more customers attract more ISV integrations, which attract more enterprise buyers. AWS Bedrock (managed access to foundation models including Anthropic's Claude, Meta's Llama, and AWS's own Titan models) is the AI infrastructure layer that has become the fastest-growing AWS service category.
Competitive Landscape 2025–2026
In 2025, AWS (NASDAQ: AMZN) competes in the cloud infrastructure, PaaS, and AI cloud platform market with Microsoft Azure (NASDAQ: MSFT, ~23% cloud market share, fastest-growing due to Microsoft 365 and Azure OpenAI integration), Google Cloud (NASDAQ: GOOGL, ~12% cloud market share, AI/ML strength from DeepMind and Vertex AI), and Oracle Cloud Infrastructure (NYSE: ORCL, enterprise database migration) for enterprise and developer cloud infrastructure spending. The generative AI infrastructure buildout (AI training and inference compute) is the primary growth driver in the 2025-2026 cloud market — AWS Trainium (custom AI training chips) and Inferentia (inference chips) provide the custom silicon alternative to NVIDIA GPU instances that enterprises are deploying for large-scale AI model training. The 2025 strategy focuses on AWS Bedrock enterprise AI platform growth, the Amazon Q AI assistant for developer productivity and enterprise knowledge management, and defending market share against Azure's OpenAI partnership advantage in enterprise AI procurement conversations.
The AWS Story
The Breakthrough Moment
In 2003, during an executive retreat at Jeff Bezos's house, Amazon's leadership conducted an exercise identifying core competencies and realized the company had become highly skilled at running reliable, scalable, cost-effective data centers. Jassy and Bezos recognized this as an opportunity to offer infrastructure services to external customers, leading to the vision of AWS.
Original Mission
"To transform Amazon's internal infrastructure capabilities into accessible, scalable cloud services that enable businesses of all sizes to leverage enterprise-grade computing power and data storage on demand"
Founders
Recent Activity
View all →Amazon SageMaker Unified Studio now supports Terraform for provisioning. Customers can use the open-source terraform-aws-sagemaker-unified-studio module to deploy a SageMaker Unified Studio domain through version-controlled templates. With this launch, platform teams can bring SageMaker Unified Studio into their existing infrastructure-as-code pipelines, maintaining consistency across development, staging, and production accounts. Amazon SageMaker Unified Studio is a unified development environment where data teams can build end-to-end data and AI workflows using familiar tools—from data integration and analytics to machine learning and generative AI—all governed by a shared catalog. Administrators provision domains to give their organization a single, managed workspace with built-in access control, data governance, and cross-service connectivity. With this launch, the Terraform module handles the infrastructure of SageMaker Unified Studio domain with provisioned IAM roles. Sub-mo
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the Asia Pacific (Seoul), Asia Pacific (Malaysia) and Asia Pacific (Tokyo) regions. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances. X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options. To
Amazon EC2 is announcing support for AMD Secure Encrypted Virtualization-Secure Nested Paging (SEV-SNP) on Dedicated Hosts, enabling customers to run their confidential computing workloads on physical servers fully dedicated to their use. Customers can allocate a Dedicated Host with SEV-SNP enabled and launch SEV-SNP instances on it. This gives customers the benefits of Dedicated Hosts for confidential computing workloads, including control over instance placement, and host affinity that allows customers to deploy instances to the same physical server over time. The physical host is provisioned with AMD security firmware during allocation, ensuring a customer’s confidential computing environment is up to date. Dedicated Host SEV-SNP is available in all AWS commercial Regions with AMD instances. To learn more, visit our documentation .
Amazon SageMaker HyperPod now gives you visibility into the Amazon Machine Image (AMI) versions running across your clusters and automatically applies security patches without disrupting your workloads. SageMaker HyperPod is purpose-built infrastructure for training and deploying foundation models at scale. Cluster administrators previously had limited insight into which AMI versions were running, making drift hard to detect and security patching a manual, reactive process that was difficult to run on long multi-day training jobs and that risked changing bundled software in the AMI such as NVIDIA drivers or CUDA. These new capabilities on HyperPod help you keep clusters secure and consistent while removing the operational burden of manual patching. With AMI versioning, you can see the exact AMI version on every instance group and node in the semantic versioning (major.minor.patch) format, quickly detect version drift, and roll back to a previous version—including the prior NVIDIA drive
AWS Config now supports 8 additional AWS resource types across key services including Amazon API Gateway, Amazon EC2, and Amazon S3 Vectors. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the resources are available: Resource Types: AWS::ApiGateway::DomainNameV2 AWS::ApiGatewayV2::VpcLink AWS::EC2::VPCEncryptionControl AWS::NetworkFirewall::ContainerAssociation AWS::OpenSearchServerless::SecurityPolicy AWS::OSIS::Pipeline AWS::S3Vectors::VectorBucket AWS::S3Vectors::VectorBucketPolicy
Amazon Bedrock AgentCore has increased the default runtime quota limits, giving customers greater capacity to scale their agent-based workloads. AgentCore is the platform for developers to build, connect, and optimize AI agents. The new default limits support up to 5,000 active concurrent sessions in US East (N. Virginia) and US West (Oregon), and 2,500 in all other supported Regions. All AWS Regions where AgentCore is available now support 200 agent interactions per second and 25 new sessions created per second. This means customers can run more AI agents simultaneously while handling high-throughput workloads out of the box. To learn more, visit the AgentCore product page or see the AgentCore Developer Guide . For all quota limits, see the AgentCore Quotas documentation .
Amazon CloudWatch allows you to create alarms on log data using log queries, and get alerted on anomalies without leaving your log analysis workflow. With today's launch, you can configure an alarm on log query and specify the alarm threshold directly, thereby eliminating the need to first create metric filters or custom metrics as intermediate steps. This streamlines the path to actively monitoring the data in your logs, and monitoring and alerting on it. For example, you can write a query to count error rates by service, set a threshold, and receive an alarm notification with log context when errors spike - all in a single workflow. Alarms created from log queries support all standard CloudWatch Alarm actions, including Amazon SNS notifications, and Amazon EventBridge integrations. This feature is available in all commercial AWS Regions except Middle East (UAE), and Middle East (Bahrain). You can create log query-based alarms using the Amazon CloudWatch console, AWS Command Line Inte
Amazon Elastic Container Service (Amazon ECS) introduces zone-aware routing for ECS Service Connect, enabling customers to reduce cross Availability Zone (AZ) data transfer costs and latency by automatically prioritizing service-to-service traffic within the same AZ. With this launch, ECS Service Connect preferentially routes requests to endpoints in the same AZ as the originating task while dynamically adjusting traffic weights as endpoints scale to maintain balanced load across target services. Previously, as customers distributed their applications across AZs for resiliency, service-to-service traffic led to significant cross-zone data transfer, requiring trade-offs between cost and resilience. Zone-aware routing eliminates this trade-off, and when local endpoints become unhealthy or fall below capacity thresholds, traffic automatically redistributes across healthy AZs to maintain availability without overloading any single zones. Zone-aware routing is enabled by default for a
Amazon Elastic Container Service (Amazon ECS) now provides real-time deployment observability in the Amazon ECS Console. With this launch, customers can track deployment progress, monitor deployment health, and diagnose failures directly from the console, and understand exactly what is happening during a deployment, identify issues as they occur, and reduce the time it takes to troubleshoot and resolve deployment failures. The enhanced deployment observability introduces a live deployment timeline that shows each phase, service events, and task launch and termination progress with automatic refresh. You can monitor deployment health in real time using circuit breaker status with live task failure proximity and threshold tracking, deployment alarm state, and health checks at both the container and load-balancer level. To diagnose deployment failures faster, you can view failed tasks directly in the deployment timeline with diagnostic context and deep links to related services such
AWS Artifact now includes Assurance Assistant, an AI-powered capability that generates citation-backed responses to security and compliance questions about AWS services. AWS Artifact is the service through which AWS provides compliance reports, certifications, and agreements to customers. Assurance Assistant helps third-party risk managers, compliance officers, security engineers, and auditors accelerate vendor assessments and due diligence questionnaire (DDQ) completion by providing sourced answers grounded in verified AWS compliance documentation. Assurance Assistant offers two modes: single-question mode for immediate on-screen responses, and questionnaire upload mode for bulk processing of XLSX files including industry-standard formats such as CAIQ, SIG, and custom DDQs. All responses include citations from AWS compliance documentation — including SOC reports, ISO certifications, and C5 attestation packages — so customers can independently verify information against source material
Today, AWS announces that partners can associate one or more AWS Marketplace solutions and product listings from their AWS Marketplace catalog directly to co-sell opportunities in AWS Partner Central. Previously, opportunities required partners to use solutions specially created for co-selling, which meant partners managed their solutions for the AWS Marketplace catalog and solutions for co-selling separately. Partners can now associate their existing AWS Marketplace listings with opportunities to track fulfillment more effectively. When creating or editing an opportunity in AWS Partner Central in the AWS Console, Partners can select one of the following options: (1) AWS Marketplace solutions and products, (2) AWS Marketplace solutions only, (3) AWS Marketplace products only, or (4) Other. Partners can associate up to 10 AWS Marketplace Solutions and up to 10 AWS Marketplace Products with a single opportunity. This includes AWS Marketplace listings within AWS accounts that ha
Cross-Region Automated Backup replication for Amazon RDS is now available in four additional AWS Regions. This launch allows you to setup automated backup replication between Mexico (Central) and Europe (Ireland) or US West (N. California); between Asia Pacific (Taipei) and Asia Pacific (Singapore) or Asia Pacific (Tokyo); between Asia Pacific (New Zealand) and Asia Pacific (Singapore), Asia Pacific (Sydney), or Asia Pacific (Melbourne); and between Asia Pacific (Thailand) and Asia Pacific (Singapore) or Asia Pacific (Jakarta) Regions. Automated Backups enable recovery capability for mission-critical databases by providing you the ability to restore your database to a specific point in time within your backup retention period. With Cross-Region Automated Backup replication, RDS will replicate snapshots and transaction logs to the chosen destination AWS Region. In the event that your primary AWS Region becomes unavailable, you can restore the automated backup to a point in time in the s
Company Timeline
Major milestones in AWS's journey
Leadership Team
Meet the leaders behind AWS
Matt Garman
Third CEO of AWS, appointed June 3, 2024. First product manager of AWS who helped build and launch core services. Joined Amazon in 2005 as an MBA intern and became full-time employee in 2006. Over 20 years of experience at Amazon and AWS.
Peter DeSantis
Long-time AWS executive since 1998 who played critical role in building AWS from its 2006 launch. Key architect of EC2 (Elastic Compute Cloud). Promoted to Amazon's S-team (senior leadership) in 2019. Known for Monday Night Live keynote tradition at re:Invent.
Werner Vogels
VP of Amazon and AWS CTO since January 2005. Joined Amazon in September 2004 as director of systems research. Holds Ph.D. in computer science from Vrije Universiteit Amsterdam. Thought leader on distributed systems and author of 'All Things Distributed' blog.
Greg Pearson
Leads combined AWS Global Sales, Worldwide Public Sector, Greater China Region, and Sales Strategy and Operations. Responsible for managing relationships with enterprise customers and government sectors globally.
Ruba Borno
Leads combined Channels and Alliances organization including Worldwide Specialist Organization. Manages partner ecosystem and channel strategy for AWS services globally.
Uwem Ukpong
Leads Global Services Organization with expanded scope including Sovereign Cloud team and International Product Management. Manages professional services and consulting for AWS customers worldwide.
Kathrin Renz
Leads AWS Industries organization focused on bringing industry-specific solutions to customers across vertical markets and specialized business domains.
Key Differentiators
Market Leader
AWS is recognized as a market leader in the Cloud Infrastructure sector, demonstrating strong industry presence and customer trust.
Enterprise Scale
With $115B in revenue, AWS operates at enterprise scale with proven market validation.
Significant Market Share
Commands 30% of the market, indicating strong competitive positioning and customer adoption.
Top 3 Ranked
Ranked #1 in the Cloud Infrastructure category, consistently recognized for excellence.
Frequently Asked Questions
Estimated Visibility Trend (Beta)
Simulated 8-week rolling score
Based on estimated brand signals. Historical tracking coming soon.
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