A(Amazon Web Services (AWS) logo

Amazon Web Services (AWS) Unclaimed

Cloud

aws.amazon.com

AWS is a global cloud platform that helps organizations innovate rapidly, cut costs, and scale securely.

Amazon Web Services (AWS) is a global cloud platform that provides a broad, scalable set of services to help organizations of all sizes accelerate innovation, reduce costs, and operate securely at scale. AWS supports customers across industries with a flexible, pay-as-you-go model and a worldwide infrastructure designed to enable resilient, high-performance computing, storage, databases, analytics, AI, and security capabilities.

To empower organizations to innovate, operate securely, and grow by delivering a comprehensive, scalable cloud platform.

What we offer

Amazon EC2

Offers scalable and secure computing for diverse applications.

aws.amazon.com/ec2/

Amazon S3

Service

Offers secure, scalable, and virtually unlimited object storage for data analytics and AI applications.

aws.amazon.com/s3/

OpenSearch Service

Service

Accelerate data insights through real-time search and analytics capabilities.

aws.amazon.com/opensearch-service/

Amazon Aurora

Service

Provides a scalable, cost-effective database solution that handles variable workloads with ease.

aws.amazon.com/rds/aurora/

Amazon Bedrock

Build and deploy generative AI applications seamlessly.

aws.amazon.com/bedrock/

Nova

Unlocks advanced intelligence with top-tier performance and pricing for AI-driven applications.

aws.amazon.com/nova/

Amazon Quick

Service

Enhance productivity with AI-driven insights and automation tools.

aws.amazon.com/quick/

Transform

Service

Accelerate modernization of legacy systems with agentic AI solutions.

aws.amazon.com/transform/

Amazon Connect Customer

Service

Delivers AI-driven customer experiences through omni-channel interactions.

aws.amazon.com/products/connect/customer/

Agent Toolkit for AWS

Empower AI coding agents with essential documentation and resource management.

aws.amazon.com/developer-tools/agent-toolkit-for-aws/

Who do we serve

Hybrid Cloud Enterprises

Large organizations seeking a consistent, compliant hybrid cloud across on-prem and cloud.

Cloud Native Startups And Developers

Tech startups needing rapid scale, global reach, and cost-efficient infrastructure for rapid iteration.

Retailers And E-Commerce Brands

Retailers seeking AI-generated product content, imagery, and supply chain insights.

Media And Content Delivery Providers

Content providers seeking scalable delivery and low latency streaming.

Market segments

Market size by segment

Growth potential (CAGR)

Cloud compute and storage

375.5 Billion USD20.7% CAGR

Compute instances and scalable object storage for running workloads, AI/analytics data, and persistent storage with elastic capacity and pay-as-you-go pricing.

Managed relational database

70.74 Billion USD12.3% CAGR

Fully managed MySQL, PostgreSQL, and SQL Server hosting with automated maintenance, migration support, and high availability for transactional applications.

Generative AI and agent development

7.84 Billion USD46.3% CAGR

Platform and tooling to build generative AI applications and conversational agents, including foundation model access, no-code agent builders, code generation, and secure data grounding.

Contact center and customer experience

63.88 Billion USD16.5% CAGR

Omnichannel contact center capabilities and CX features including intelligent routing, SMS, AI chatbots, and contact‑center grade call handling to improve customer service.

Search and observability

12 Billion USD15% CAGR

Real-time search, observability, and security analytics for monitoring, log analysis, and threat detection across infrastructure and applications.

More information about our offering

Amazon EC2

Secure and resizable compute capacity for virtually any workload.

  • Scale Resources As Needed
    Dynamically adjust compute resources based on application requirements, ensuring optimal performance and cost efficiency.
  • Ensure Security Compliance
    Comply with global data protection standards through enhanced security features, protecting sensitive data in transit and at rest.
  • Utilize Durable Storage Solutions
    Attach durable storage to instances that can be scaled independently, ensuring data persistence and availability between instance restarts.
  • Select Optimal Instance Types
    Choose from a wide range of instances optimized for various applications, such as memory-intensive, compute-optimized, or storage-optimized workloads.
  • Distribute Workloads Efficiently
    Optimize resource utilization and enhance fault tolerance by efficiently distributing network traffic to active instances.
  • Optimize Costs Based On Demand
    Pay only for the resources consumed, allowing better budget management and reducing unnecessary expenses.

Amazon S3

Virtually unlimited secure object storage for AI, analytics, and archives. Amazon S3 provides highly scalable storage services, enabling data management at any scale with built-in security and flexibility to meet diverse storage needs.

  • Optimizes Data Management For AI
    Facilitates seamless integration of AI models and analytics processes with stored data.
  • Provides Robust Data Security
    Utilizes advanced security protocols and encryption technologies to ensure data integrity and confidentiality.
  • Enables Scalable Data Expansion
    Allows businesses to store any amount of data without worrying about capacity limits, providing flexibility for growth.
  • Delivers Global Data Access
    Empowers users to retrieve data quickly from any part of the world, reducing latency.
  • Automates Data Lifecycle Management
    Simplifies data management by transitioning data between different storage classes based on access patterns.

OpenSearch Service

Real-time search, observability, and security analytics.

  • Facilitates Instant Access
    Empowers users to quickly find relevant information, leading to better decision-making.
  • Strengthens Security Posture
    Equips organizations with insights to identify and mitigate security risks effectively.
  • Enhances Monitoring
    Provides developers and operators with detailed data to understand system health and performance.
  • Simplifies Data Collection
    Enables easy integration of data from multiple platforms, ensuring comprehensive data analysis.

Amazon Aurora

Serverless relational database service for PostgreSQL, MySQL, and distributed SQL (DSQL).

  • Facilitates Global Scalability
    This feature allows you to scale your database across multiple regions easily, ensuring high availability and low latency for users worldwide.
  • Automatically Adjusts Capacity
    Aurora's serverless architecture automatically adjusts its capacity based on usage, ensuring you only pay for what you use, eliminating unnecessary costs during low-usage periods.
  • Leverage Existing MySQL Applications
    By being compatible with MySQL, Aurora enables organizations to run their existing MySQL applications without modification, providing a seamless migration experience.
  • Utilize PostgreSQL Ecosystem
    Aurora's PostgreSQL compatibility allows customers to use their existing PostgreSQL applications, benefiting from advanced features and robust performance.

Amazon Bedrock

End-to-end platform for building generative AI applications and agents.

  • Streamline Generative AI Development
    Utilize an integrated platform that supports all phases of AI application development, from ideation to deployment, ensuring a seamless development experience.
  • Build Cutting-Edge AI Solutions
    Create innovative applications powered by generative AI models, enabling businesses to enhance their products and services.
  • Utilize Pre-Trained Models
    Leverage pre-trained foundation models to accelerate AI development, reducing the time and cost associated with training new models from scratch.
  • Enable Seamless AI Agent Creation
    Leverage specialized tools to facilitate the development of sophisticated AI agents that can interact with users effectively.

Nova

Foundation models delivering frontier intelligence and top price performance.

  • Utilizes Foundation Models
    Leverages the latest foundation models to support complex AI applications and ensure high accuracy across various tasks.
  • Delivers High-Level Insights
    Provides organizations with actionable, top-tier insights through advanced AI algorithms, enhancing decision-making processes.
  • Ensures Strong Price Performance
    Offers competitive pricing while maintaining exemplary performance, allowing customers to maximize their investment in AI technology.

Amazon Quick

AI-powered assistant for work with research, business insights, automation, and no-code app building.

  • Improve Decision-Making
    Leverage AI to access insights that help drive better decisions across various work domains.
  • Optimize Strategy
    Generate actionable insights from data analytics to inform business strategies.
  • Streamline Processes
    Automate repetitive tasks to maximize efficiency and reduce manual errors.
  • Enhance Functionality
    Utilizes a wide array of AWS solutions to improve performance and broaden capabilities.
  • Empower Users
    Allows non-technical users to create customized applications to meet specific business needs.

Transform

Eliminate tech debt with agentic AI to modernize legacy systems and code.

  • Enhances Legacy Systems
    Brings advanced AI technologies to transform outdated software into efficient solutions.
  • Improves Code Efficiency
    Updates and optimizes existing code to enhance application functionality and ease maintenance.
  • Streamlines System Updates
    Eases the transition from legacy systems to modern cloud-based infrastructures for improved operational efficiency.

Amazon Connect Customer

AI-native solution for delivering exceptional experiences across customer interactions.

  • Enhances Customer Engagement
    Utilizes artificial intelligence to tailor customer interactions, ensuring personalized and effective responses.
  • Streamlines Customer Communication
    Facilitates seamless interactions across various platforms, including voice, chat, and social media, enhancing customer satisfaction.
  • Adapts to Your Business Growth
    Easily scales resources to meet increasing customer demands without compromising service quality.
  • Expands Functionalities
    Seamlessly integrates with other AWS services, such as AI and machine learning tools, to enhance customer interactions and insights.

Agent Toolkit for AWS

Give AI coding agents up-to-date docs and AWS resource access.

  • Manage Access Seamlessly
    Streamlines the way AI agents access and utilize AWS resources efficiently.
  • Provide Accurate Documentation
    Ensures AI coding agents are equipped with the most recent and relevant information to operate effectively.

References

Methodology and sourcing behind the figures shown above.

Cloud compute and storage

Estimate based on published global cloud market sizes and IaaS (infrastructure) share. MarketsandMarkets and Statista report ~USD 1.1–1.3 trillion total cloud revenue (2024–2026); Goldman Sachs projects IaaS to be a ~29% share (IaaS $580B by 2030) and forecasts high AI-driven demand (22% CAGR for cloud TAM). Mordor and Statista report higher cloud CAGRs (~20–21%). Combining the IaaS share of the broader cloud market and cloud-storage-specific projections yields an estimated compute+storage market ≈ USD 375.5 billion today and a CAGR ~20.7% (AI/GPU-driven infrastructure growth).

Managed relational database

Estimate based on multiple market reports treating managed relational hosting as the "relational database / relational database service" segment. Credence Research explicitly values the Relational Database Service market at USD 70.74 billion (2024) with a 12.3% CAGR; Market Research Future provides a near-identical 2024 size (~USD 70.76B) and similar high-teens/low‑teens CAGR for the relational database space. Broader DBMS and cloud-database reports (Fortune Business Insights, Coherent) show larger parent-market sizes and higher cloud-specific growth, supporting sustained double-digit CAGR for managed relational services.

Generative AI and agent development

Estimate anchored to agent‑specific market research: MarketsandMarkets reports an AI agents market of USD 7.84B (2025) with a 46.3% CAGR to 2030; Precedence Research provides a similar 2025 base (~USD 7.9B) and a high multi‑year CAGR (~43.6%). Broader generative AI forecasts (Bloomberg, Statista) and Goldman Sachs’ software market analysis were used to contextualize upside potential for platforms and tooling (foundation model access, agent builders, secure grounding), supporting a high‑growth (40%+ range) expectation for this segment.

Contact center and customer experience

Primary estimate uses Fortune Business Insights’ contact center software market valuation (USD 63.88B in 2025) and its projected CAGR (16.5%). Cross-checked against MarketsandMarkets (CEM: USD 15.78B in 2026, CAGR 13.7%), MarketDataForecast (cloud contact center: USD 28.78B in 2024, CAGR 21.8%) and CX Network projection (USD 113.8B by 2027). Given the user segment spans contact-center software/CCaaS and customer-experience platforms, Fortune’s contact-center software figure (2025) and 16.5% CAGR are used as the representative market size and growth potential.

Search and observability

Estimates draw from multiple observability and data-observability reports in the search results. Several sources place the observability market around $11–13B in the mid-2020s (Dash0, Precedence, MarketsandMarkets). Data-observability (a narrower subsegment) is smaller (~$2.9B in 2025) but shows similar high growth rates (~11–15% CAGR). Combining these bottom-up and vendor-based estimates yields an approximate overall market size of ~$12B and a reasonable growth potential of ~15% CAGR.

Related Organizations