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Infrastructure Trends and Strategies: Enterprise Workloads

IDC's Infrastructure Trends and Strategies: Enterprise Workloads program takes a top-down approach of infrastructure adoption, trends, and usage by enterprise workloads as defined in IDC's taxonomy (IDC defines a "workload" to be an application along with its dataset). This program serves as a companion program to the Server and Storage Workloads Tracker® and will carry the qualitative color (via primary research) that guides data in the trackers.


Markets and Subjects Analyzed

  • Qualitative and quantitative overview of workloads as defined in IDC's storage and server workloads taxonomy
  • Qualitative and quantitative overview of workloads as deployed on bare metal, virtualized, and containerized environments
  • Traditional (legacy, current-gen) and newer (cloud-native, next-gen) workloads
  • Structured and unstructured (SQL, NoSQL, and NewSQL databases) workloads
  • Service mesh, microservice, and FaaS/serverless architectures
  • Use of various storage systems architectures for current and next-gen workloads (e.g., file, block, object, flash, and hybrid storage)
  • Infrastructure stacks for next-gen workloads (e.g., Kubernetes, Docker, GKE, PKS)
  • Cloud migration tools and development methodologies and paradigms
  • Emerging workloads for specific outcomes (e.g., AI training and inferencing, Big Data and analytics)

Core Research

  • Worldwide Server and Storage Workloads Taxonomy
  • Worldwide Server and Storage Workloads Forecast, 2020–2024
  • Public Cloud On-Premises (Anthos, IBM Cloud Private, and Azure Stack) Value Proposition for Current and Next-Gen Workloads
  • Best Practices for Workload Deployments: Choosing Location and Deployment Type
  • Pathways to the Cloud — Application Transformation Options and Implications for Choice of Infrastructure
  • Cloud Migration and Repatriation Trends

In addition to the insight provided in this service, IDC may conduct research on specific topics or emerging market segments via research offerings that require additional IDC funding and client investment.


Key Questions Answered

  1. How are workload deployments shifting in terms of on premises, cloud, and edge? What changes do they go through when they shift?
  2. What kind of enabling infrastructure stacks are used when workloads get refactored, repackaged, or replatformed?
  3. What best practices are other organizations using to evaluate, modernize, and transform their infrastructure for new/next-gen/cloud-native workloads?
  4. How should organizations embrace algorithm shifts (e.g., AI/ML workloads) that require the introduction of new hardware in their datacenters?
  5. What consumption models and deployment location should be employed for superior business outcomes?

Related Links


Meet the Experts
Ashish Nadkarni

Group Vice President, Infrastructure Systems, Platforms and Technologies Group

Heather West, PhD

Senior Research Analyst, Infrastructure Systems, Platforms and Technologies Group

Max Pepper

Senior Research Analyst, Infrastructure Systems, Platforms and Technologies

Natalya Yezhkova

Research Vice President, Infrastructure Systems, Platforms and Technologies Group