The category-defining hyperscaler — launched 2006 by Amazon, 200+ cloud services, 28% global cloud-infrastructure market share, $37.6 billion Q1 2026 revenue (+28% YoY, fastest growth in 15 quarters). India regions: Mumbai (ap-south-1, 3 AZs since 2016) and Hyderabad (ap-south-2, 3 AZs since 2022). AWS India clocked ₹14,446 Cr ($1.72B) FY24 revenue through Amazon Internet Services Pvt Ltd; $4 billion Anthropic investment powering Bedrock + Claude as the 2026 AI centre
Amazon Web Services is the category-defining hyperscaler and the default cloud choice for the majority of Indian SaaS, fintech, e-commerce and consumer-internet companies. Launched in March 2006 with S3 and August 2006 with EC2 — making AWS the original modern public cloud — it operates over 200 fully-featured services across compute, storage, databases, networking, security, AI/ML, DevOps and SaaS. In Q1 2026 AWS reported $37.6 billion in revenue, up 28% year-over-year — the division's fastest growth rate in 15 quarters — driven explicitly by enterprise AI workloads on Bedrock and the deepening Anthropic partnership. Global cloud-infrastructure market share in Q1 2026 is ~28% (AWS) / 21% (Azure) / 14% (GCP) per Canalys / CNBC reporting; AWS retains category leadership while losing some share to Azure and GCP, particularly in the AI-workload segment. India presence is genuinely deep: Mumbai (ap-south-1, 3 Availability Zones, launched 2016) and the newer Hyderabad (ap-south-2, 3 Availability Zones, launched 2022) regions both have full RBI / data-residency coverage, with Mumbai supporting 360 EC2 instance types vs Hyderabad's 118 (Hyderabad is newer and still catching up on service breadth). The Indian-entity invoicing happens through Amazon Internet Services Private Limited (AISPL), which means Indian buyers get INR billing with 18% GST — a meaningful procurement advantage over many US-billed competitors. AWS India clocked ₹14,446 crore (~$1.72 billion) in FY24 operating revenue, though growth has slowed to 13% (down from 43% the year prior). For Indian buyers the right framing is: AWS is the default-correct call for most Indian product teams — broadest ecosystem, largest Indian engineering hiring pool, deepest BFSI compliance certifications, and INR billing through AISPL. It is the wrong call only when you have a specific reason to pick differently (BigQuery on GCP, Microsoft-stack on Azure, simplicity-first on Render / Fly.io / DigitalOcean, or strict OSS / self-host requirements).
Amazon Web Services is Amazon's cloud-computing subsidiary and the world's largest provider of cloud infrastructure and platform services. The catalogue spans more than 200 distinct services across compute (EC2, Lambda, Fargate, EKS, ECS), storage (S3, EBS, EFS, FSx, Glacier), databases (RDS for Postgres / MySQL / Oracle / SQL Server, DynamoDB, Aurora, Redshift, ElastiCache, Neptune, DocumentDB, Timestream), networking (VPC, CloudFront, Route 53, Global Accelerator, Direct Connect), security (IAM, KMS, Secrets Manager, WAF, Shield, GuardDuty), AI/ML (Bedrock, SageMaker, Rekognition, Comprehend, Transcribe, Polly), DevOps (CodePipeline, CodeBuild, CodeCommit, CloudFormation, CDK, EKS Anywhere), and SaaS (Connect, Chime, WorkSpaces, WorkDocs). For most Indian product teams the realistic engagement is with a relatively small subset — EC2 / S3 / RDS / Lambda / CloudFront / Route 53 / IAM / VPC — but the breadth means almost any architecture question has an AWS-native answer.
AWS was launched by Amazon in March 2006 with S3 (Simple Storage Service), followed by EC2 (Elastic Compute Cloud) in August 2006 — making AWS the original modern public cloud, with both Azure (2010) and GCP (2008 with App Engine, full IaaS 2012) following years later. The current CEO is Matt Garman, who took over from Adam Selipsky in June 2024; Selipsky had himself succeeded Andy Jassy when Jassy became Amazon CEO. AWS revenue has been a primary growth driver for Amazon overall for years: in Q1 2026 AWS reported $37.6 billion in quarterly revenue, up 28% year-over-year, which was the division's fastest growth rate in 15 quarters and contributed disproportionately to Amazon's record operating margins for the quarter.
Global cloud-infrastructure market share in Q1 2026 is ~28% AWS / 21% Azure / 14% GCP per Canalys / CNBC reporting. The market-share trend is worth understanding: AWS continues to lead but is growing slower than the other two hyperscalers on a percentage basis (Azure +40% YoY, GCP +63% YoY in Q1 2026 vs AWS +28%), which means AWS's absolute lead is widening in dollars but narrowing in market share. The shift is being driven by enterprise generative-AI workloads where Azure's OpenAI Service and GCP's Vertex AI / Gemini have specific advantages — to which AWS has responded with the $4 billion investment in Anthropic (2024), making Anthropic's Claude family the flagship LLM available on Amazon Bedrock and the strategic centre of AWS's 2026 AI positioning.
India presence is the deepest of any hyperscaler. AWS operates two Indian regions: Mumbai (ap-south-1), launched in 2016, with 3 Availability Zones and 360 EC2 instance types for Linux — the most comprehensive AWS region in Asia Pacific; and Hyderabad (ap-south-2), launched in 2022, with 3 Availability Zones and 118 EC2 instance types. Both regions support full RBI / data-residency compliance, SOC 2 / ISO 27001 / PCI-DSS attestations, and SEBI / IRDAI sector-specific compliance for fintech and insurance buyers. Indian-resident-data BFSI buyers can deploy entirely within Mumbai or Hyderabad and never have data leave India. The Indian invoicing entity is Amazon Internet Services Private Limited (AISPL), which means Indian customers are billed in INR with 18% GST and receive proper tax-invoice paperwork — meaningfully easier for procurement than US-entity billing from competitors. AWS India clocked ₹14,446 crore (~$1.72 billion) in FY24 operating revenue with net profit growing 87% to ₹115 crore, though revenue growth has slowed to 13% (down from the prior year's 43%).
EC2 virtual machines (360 instance types in Mumbai), Fargate / ECS managed containers, EKS managed Kubernetes, Lambda serverless functions. For most Indian SaaS teams, EC2 + ALB + ASG + Lambda + Fargate covers 90% of compute needs. Spot Instances offer 50–90% discounts for fault-tolerant workloads.
S3 for object storage (the original AWS service, still the gold standard); RDS managed Postgres / MySQL / SQL Server; Aurora for MySQL/Postgres-compatible managed with autoscaling; DynamoDB serverless NoSQL. Indian fintech / BFSI commonly run Aurora multi-AZ in Mumbai for compliance.
Amazon Bedrock is AWS's managed-LLM API layer with first-class Anthropic Claude support (powered by the $4B AWS-Anthropic partnership). SageMaker handles training / hosting / RAG / agent orchestration. The 2026 AI strategic centre — closing the gap with Azure OpenAI and Vertex AI Gemini.
CloudFront CDN with India edge POPs (Mumbai, Delhi, Chennai, Bangalore, Hyderabad, Kolkata) — meaningful latency reduction for Indian end users. Route 53 DNS, Global Accelerator for global anycast routing.
The deepest security and compliance surface of the three hyperscalers. KMS-managed encryption keys, Secrets Manager for credentials, WAF / Shield for DDoS protection, GuardDuty for threat detection. SEBI / RBI / IRDAI compliance documentation is best-in-class.
Free credits for early-stage startups: typically $1,000 (open self-serve), $5,000 (founders programs / generic accelerators), $10,000-$100,000 (top-tier VC-backed companies via the AWS Activate Portfolio program). For Indian seed-to-Series-A companies the credits effectively cover the first 12-24 months of AWS spend.
AWS uses pay-as-you-go pricing with reserved instances and savings plans offering meaningful discounts for committed usage. Live rates from aws.amazon.com/pricing:
For a typical Indian Series A SaaS team running a small production stack (5-10 EC2 instances on Reserved + RDS Aurora Postgres + Lambda + S3 + CloudFront) the monthly AWS bill clusters at ₹50,000 – ₹4 lakh/month on AISPL invoicing with 18% GST. Indian AWS Activate participants typically have ₹8 lakh – ₹80 lakh in free credits to deploy, materially reducing year-1 and year-2 cash spend.
AWS is the wrong call when: you specifically need BigQuery for serverless data analytics (use GCP — most Indian teams run multi-cloud with AWS + GCP for this); you're a Microsoft-stack enterprise with E3/E5 licences and bundled Azure credits (use Azure); you're a small Indian indie / solo developer who wants opinionated PaaS simplicity (use Render, Fly.io, Railway, or DigitalOcean App Platform); you have an OpenAI-first AI strategy and want native GPT-5 access (use Azure OpenAI Service); or you specifically want a fully OSS / self-host BaaS for RBI-strict deployments without a hyperscaler relationship (use Appwrite or Supabase self-hosted).