Categories: FAANG

IDC: Migrating to Google Cloud IaaS has a 318 percent ROI

Organizations worldwide continue to adopt cloud services to enable and support ongoing digital transformation. While the benefits of cloud infrastructure, including cost savings, agility, elasticity, and scalability are well understood, quantifying these benefits can be challenging.

In late 2023, Google released the results of a sponsored IDC research study to gain a better understanding of the tangible ROI of migrating to cloud infrastructure.The study comprised nine interviews with organizations in the United States, the UK, and Germany across the financial services, government, healthcare, real estate, retail, and utilities industries. The selected organizations employed Google Cloud Infrastructure as a Service (IaaS) and had firsthand experience with its advantages and expenses.

As part of this Google-sponsored research on the business value of Google Cloud IaaS, here are just a few snippets of what the IDC Research team found in the study1:

  • 318% five-year ROI
  • 51% reduced cost of operations over five years
  • 57% more efficient IT infrastructure management teams
  • 75% faster deployment of new application features
  • $3.23 million in additional revenue gained

Want to learn more about this IDC research and how organizations are benefitting by adopting Google Cloud IaaS?

  • Download the full IDC research study.
  • Attend a fireside chat where IDC research VP Dave McCarthy and Google North American Developer Advocacy Lead and best-selling author Priyanka Vergadia discuss the results of the study in depth.

1. Source: IDC Business Value Research, Sponsored by Google, The Business Value of Google Cloud IaaS, IDC #US51037323, August 2023.

With the following firmographics:
– Number of employees: 1,500–300,000
– Number of IT staff: 300– 2,000
– Number of business applications: 20–6,000
– Revenue: $126.3M–$59.0B

AI Generated Robotic Content

Recent Posts

Update: Distilled v1.1 is live

We've pushed an LTX-2.3 update today. The Distilled model has been retrained (now v1.1) with…

22 hours ago

How to Implement Tool Calling with Gemma 4 and Python

The open-weights model ecosystem shifted recently with the release of the

22 hours ago

Structured Outputs vs. Function Calling: Which Should Your Agent Use?

Language models (LMs), at their core, are text-in and text-out systems.

22 hours ago

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts

This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation…

22 hours ago

How to build effective reward functions with AWS Lambda for Amazon Nova model customization

Building effective reward functions can help you customize Amazon Nova models to your specific needs,…

22 hours ago

How to find the sweet spot between cost and performance

At Google Cloud, we often see customers asking themselves: "How can we manage our generative…

22 hours ago