Cloud migration cost in India depends on what you move, how you move it and how well the new setup is run afterwards. This guide explains the factors that drive the cost of moving to AWS, Azure or Google Cloud, the hidden costs that catch businesses out, and how to keep the project and the monthly bill under control.
Why the question is hard to answer
Demand is growing quickly. According to IDC in December 2023, India's public cloud services market reached $3.8 billion in the first half of 2023 and is expected to reach $17.8 billion by 2027, growing at 22.9% a year from 2022.
Yet two migrations with the same label can differ many times over in effort. Moving one website with a small database is a short job. Moving an ERP with years of data, links to a dozen other systems and audit rules is a programme of work. We do not publish prices for this reason, and we quote each project after an assessment. What we can explain is what pushes the cost up or down, so you can budget sensibly and compare quotes on equal terms.
The two bills: migration and running cost
Every migration has two separate costs, and they need separate budgets.
- The one-time migration cost: Assessment, architecture design, the move itself, testing, security setup, training and handover. This is what a migration partner quotes.
- The ongoing cloud bill: Compute, storage, databases, data transfer, backups, monitoring and support, paid every month to the cloud provider and, if you use one, a managed service partner.
A cheap migration that produces an oversized, poorly tagged cloud estate can cost more within a year than a careful one. Ask every provider to explain both numbers.
What drives cloud migration cost in India?
- Number of workloads: Each application needs its own assessment, plan, move and test. More workloads mean more effort, though a repeatable process brings the effort per workload down in large projects.
- Data volume: Large databases take longer to copy, check and switch over. Moving many terabytes may need offline transfer devices or a dedicated network link.
- Migration strategy: Moving an application as it is costs the least now. Redesigning it for the cloud costs the most now but can lower running costs later.
- Application age and design: Modern web applications usually move more easily than old systems built on unsupported software, single large codebases or proprietary platforms.
- Downtime tolerance: If a system can be offline for a planned window, the move is simpler. Near-zero downtime needs database replication, parallel environments and careful traffic switching.
- Compliance needs: Regulated sectors need extra controls, encryption, audit logs and documentation, which add design and testing time.
- Target platform: AWS, Azure and Google Cloud price services differently and offer different migration tools, which affects both the project and the monthly bill.
- Existing technical debt: Missing documentation, outdated libraries and fragile code need fixing or working around before a safe move.
How the migration strategy changes the cost
The choice of strategy for each workload is the biggest single lever on cost. AWS Prescriptive Guidance names seven migration strategies, known as the 7 Rs. Azure and Google Cloud use similar terms.
| Strategy | What it means and its effect on cost |
|---|---|
| Rehost (lift and shift) | Move the application as it is. Lowest project effort, but no cloud savings built in. |
| Relocate | Move whole virtual machine platforms without changing them. Quick, with little change to the application. |
| Replatform | Make targeted changes, such as moving to a managed database. Moderate effort, often lower running cost. |
| Refactor or re-architect | Redesign for cloud-native services. Highest effort; AWS calls it the most complex and costly strategy. |
| Repurchase | Replace the application with a SaaS product. Cost shifts to subscriptions and data migration. |
| Retire | Switch off what nobody needs. The cheapest workload is the one you do not move. |
| Retain | Keep the application where it is for now, for example for compliance or dependency reasons. |
A sensible plan mixes these. Most workloads are rehosted or replatformed, a few that justify the investment are refactored, and the rest are replaced, retired or kept. AWS itself recommends moving first and modernising after the move for large migrations, because refactoring during a large move is hard to manage.
Hidden costs to plan for
- Data transfer out: Cloud providers charge for data leaving their network. Applications that send large files to users or other systems can see this add up.
- Parallel running: During the move you may pay for the old servers and the new cloud setup at the same time, for weeks or months.
- Licences: Some software licences need converting or replacing for cloud use. Database and operating system licences in particular need checking early.
- Network links: Hybrid setups may need dedicated connections such as AWS Direct Connect or Azure ExpressRoute, which carry monthly charges.
- Training: Your team needs to learn cloud monitoring, security and incident response, or you need a partner to run it.
- Logs and compliance: The CERT-In directions of 28 April 2022 require service providers, data centres and body corporates to keep logs of their ICT systems for a rolling 180 days within Indian jurisdiction. Log storage and retention settings belong in the budget.
- Post-migration tuning: First cloud setups are rarely right-sized. Plan a few months of tuning after go-live.
Waste after migration is common. In the Flexera 2026 State of the Cloud Report, respondents estimated that 29% of their cloud spend is wasted. A FinOps review soon after the move is usually the cheapest way to bring the monthly bill down.
Data protection and cost
If the systems you move hold personal data about customers or staff, the Digital Personal Data Protection Act 2023 applies. Under the DPDP Rules notified in the Gazette of 13 November 2025, the main duties start on 13 May 2027. A migration is a good time to map where personal data sits, who can reach it and how long it is kept, and doing this during the project costs less than retrofitting it later.
How to keep cloud migration costs down
- Assess before you quote: An inventory of applications, data and dependencies prevents surprises that cause expensive rework.
- Retire and replace first: Remove what nobody uses and swap commodity tools for SaaS before moving the rest.
- Move in waves: Start with low-risk workloads, learn from them and then move the critical systems.
- Use provider programmes: AWS, Azure and Google Cloud all run migration tools and incentive programmes; ask which apply to you.
- Right-size from day one: Size servers on measured use, not on the old hardware.
- Set budgets and tags early: Cost ownership is easiest to set up while the estate is being built.
For the planning side in more depth, read our guide to cloud migration for Indian businesses: planning, cost and downtime. For the platform choice, our comparison of AWS, Azure, Google Cloud and Oracle in India sets out the main differences.
Questions to ask before you sign
- Scope: Which workloads are in the quote, and which strategy is planned for each?
- Running cost: What monthly cloud bill do you expect after the move, and what is it based on?
- Downtime: How long will each system be unavailable, and what is the rollback plan?
- Ownership: Will the cloud accounts be in our name from the start?
- Handover: What documentation and training are included?