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Public cloud adoption in India to rise 30% to US$ 7.3 billion in 2022: Gartner

IBEF:  November 05, 2021

According to a recent forecast by Gartner, Inc., end-user spending on public cloud services in India is forecast to total US$ 7.3 billion in 2022, an increase of 29.6% from 2021.

“Public cloud services acceptance has augmented since the onset of the global pandemic. The pandemic was a tipping point for Indian firms to realise the true value of public cloud,” stated Mr. Sid Nag, research vice president, Gartner.

“In India, the policy infrastructure is evolving as an crucial contributor to public cloud growth. For example, the recently launched public cloud government initiatives Meghraj and Cloud Vision for India 2022 will demonstrate usefulness for small and medium businesses or those who are in early stage of cloud adoption to benefit from this technology,” stated Mr. Nag.

Moreover, initiatives targeted towards building a skilled cloud workforce in partnership with private IT service providers will promote to the government’s effort of bolstering the public cloud ecosystem in the country.

While still on the growth, Indian end-user spending on public cloud next year will be sluggish than the 34.6% growth forecast in 2021. Indian CIOs are supposed to focus their cloud investment on cloud system infrastructure services (IaaS). This segment is projected to total US$ 2.4 billion in 2022, up 40% from 2021. IaaS will make up 32.3% of the total investments in public cloud services in 2022.

“Public cloud expansion persists to be driven by organisations that want to modernize their IT and reduce their capital expenditure spend. The wish for agility and innovation in both business transformation and IT operations is also stimulating the growth of public cloud,” stated Mr. Nag.

The next stage in the growth of cloud in India will be the adoption of cloud native technologies. Indian CIOs will see to reimagine and renovate their applications and workloads using containers and microservices as well as artificial intelligence (AI) and machine learning (ML).

Disclaimer: This information has been collected through secondary research and IBEF is not responsible for any errors in the same.