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Stonebranch Unveils 2024 Global State of IT Automation Report

Insights show a decisive shift towards hybrid IT environments, an evolution from automation to orchestration, and the rise of machine learning (ML) pipelines to support generative AI initiatives.

Note: TDWI's editors carefully choose vendor-issued press releases about new or interesting research and services. We have edited and/or condensed this release to highlight key study results or service features but make no claims as to the accuracy of the vendor's statements.

Stonebranch, a leading provider of service orchestration and automation solutions, has published the 2024 Global State of IT Automation Report: IT Automation and Orchestration Benchmarks for IT Ops, DevOps, CloudOps, and DataOps Teams, its third annual benchmark study on the automation priorities, expectations, and challenges of IT professionals worldwide.

The report is based on a survey of IT automation professionals and executives conducted by Censuswide between January 24 – February 5, 2024.

This year's report unveils critical insights into the evolving landscape of IT automation, offering a unique lens through which IT Ops, DevOps, CloudOps, and DataOps professionals can view the future of automation and orchestration technologies. These notable trends emerge:

  • Automation is evolving into orchestration. Driven by a desire to orchestrate across complex hybrid IT environments, 82% of respondents plan to replace legacy IT automation tools or add new automation tools to the mix.
  • Democratization of automation continues to grow. Nearly 9 in 10 respondents (88%) enable end users across the business with self-service access to IT automation. Those who plan to add or replace IT automation tools with a more modern solution cited a desire to add self-service as the leading reason for change.
  • Companies prefer a mix of on-premises and cloud environments. In only one year, hybrid IT use has doubled from 34% to 68%. Organizations are deciding where to store data -- either on-premises or in the cloud -- on a case-by-case basis. This approach is efficient and flexible but poses a challenge when it comes to automating and orchestrating these environments.
  • Machine learning pipelines are evolving and growing in importance. A significant 74% of respondents have already incorporated data and ML pipelines to operationalize their AI-driven initiatives. This is an indicator of many companies’ strong commitment to the pivotal role of AI in shaping their future success.

You can download the full report here (short registration required).

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