When you spend more on cloud services it's not just about paying for servers. You're paying to move applications, to build new platforms and to set up systems which then have to be designed, run, secured and fixed on a daily basis. That's why the Gartner Cloud Spending Forecast 2026 is relevant to anyone considering a career in cloud and DevOps.
Numbers in research reports can often seem a long way removed from actual jobs. This article links the latest forecast to the real jobs it creates (from platform build and migration through to cloud support). The sections that follow explain what the data actually says, which roles are most affected and how the aspiring graduate can best prepare.
Gartner, a global business and technology research firm, released its latest forecast for Indiaβs public cloud spending in June 2026. This report hook gives a clear and recent picture of how fast cloud use is growing in the country.
|
India public cloud spending, 2025 |
$13.7 billion |
|
India public cloud spending, 2026 (forecast) |
$17.5 billion |
|
Growth in 2026 |
28.1% |
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Platform-as-a-service (PaaS) spending in India, 2026 |
$6.4 billion, the largest category |
|
Worldwide public cloud growth, 2026 (earlier forecast) |
21.3% |
Gartner's growth was primarily attributable to enterprise demand for AI-ready cloud infrastructure and platform modernisation.
PaaS (platform as a service) which provides developers with ready made platforms on which to build and run applications is the largest spend category in India for 2026 as organisations continue to rebuild their technology foundations.
SaaS is expected to grow at a more modest rate than platform services.
Gartner have named the governance of complex hybrid, multi-cloud and AI-enabled environments as one of the top cloud challenges for 2026.
An earlier Gartner forecast (September 2025) had predicted the global public cloud market would reach $1.48 trillion by 2029.
India's forecast growth rate is in fact higher than the global figure, demonstrating just how rapidly Indian organisations are moving to the cloud. That growth in turn has a direct bearing on the number of skilled people they'll need to build and operate those systems.
Cloud spend becomes real work. Every new platform, every migration, every AI project requires people to plan it, build it, secure it and then run it.
A fairly straightforward example would be a retailer who moves their billing system to the cloud. They'd need engineers to plan the move, set up the servers and databases, test it all out and then switch the users over with zero downtime. After the move they'd still need people to be on hand to monitor the system, manage the cost and deal with any issues that arose.
Platform building: high PaaS spending means more teams building applications on cloud platforms, which needs DevOps and cloud engineers to set up and manage them.
Migration: companies moving older systems to the cloud need engineers who understand both on-premise and cloud setups, and how to move between them safely.
AI infrastructure: AI workloads need careful setup, scaling, and cost control on cloud platforms, since they can be expensive to run.
Governance and security: hybrid and multicloud environments need clear rules for access, costs, data protection, and compliance.
Day-to-day operations: more cloud systems mean more monitoring, troubleshooting, patching, and support work every single day.
Cost control: as bills grow, companies need people who can track spending and remove unused resources.
Government cloud use is growing alongside private spending. Many ministries and departments use cloud services from providers empaneled by the Ministry of Electronics and Information Technology, which adds steady public sector demand to private sector growth.
Recent cloud support associate jobs news points to steady demand for entry-level cloud roles. As cloud spending grows, more users and teams need help running their systems smoothly and safely.
Cloud support associates respond to tickets about servers, storage, networking, billing, and access problems.
They troubleshoot common issues, such as connection failures, permission errors, and slow applications, often under time pressure.
They follow runbooks, which are step-by-step guides, to solve known problems quickly and consistently.
They monitor alerts and escalate serious issues to senior engineers with clear notes on what they found.
They document fixes clearly so that similar problems can be solved faster by the whole team in the future.
Cloud support is one of the most common entry points into the cloud field for freshers and career switchers. Many professionals start here, learn how real systems fail, and then move into DevOps, cloud engineering, or site reliability roles. The troubleshooting habits built in support are valued at every later stage.
A forecast is only useful if it leads to clear action. A DevOps and Cloud Computing Course helps aspirants turn this market growth into job-ready skills.
Build strong basics in Linux, networking, and scripting, since nearly all cloud work depends on them.
Learn at least one major cloud platform, focusing on compute, storage, networking, and access control, before moving to advanced services.
Practice deploying applications on platform services, since PaaS is the largest spending category in India for 2026.
Learn containers, CI/CD pipelines, and infrastructure as code, which are now standard in modern deployments.
Understand cloud cost control and governance, which Gartner highlights as a key challenge for organizations in 2026.
Build two or three projects, such as deploying an application and setting up monitoring and alerts for it.
Aspirants who follow this plan can match their skills to where spending is actually going. A clear portfolio shows employers that a candidate is ready for the work this growth creates, from support to engineering.

