Key Takeaways
- 2019 Gartner forecast estimated worldwide public cloud end-user spending would reach $257 billion in 2019, establishing a growth backdrop for infrastructure automation tooling adoption
- 2024 Gartner forecast said worldwide public cloud end-user spending would be $675.4 billion in 2023 and projected to grow further, reflecting ongoing budget available for automation and configuration management
- 2024 Gartner forecast projected PaaS spending to reach $151.1 billion in 2024, representing platform environments where configuration standards and automation are important
- IDC forecast projected the worldwide infrastructure software market to reach $288.4 billion in 2024, reflecting the budget pool for infrastructure and automation tooling
- 2022 NIST Special Publication 800-53-based automation guidance emphasizes that automated security controls reduce the risk of configuration drift, quantifying improvement via reduced manual steps and audit time in its discussion of automated continuous monitoring
- NIST SP 800-207 (Zero Trust Architecture) defines continuous evaluation, where automation is used to keep policies up to date; the publication specifies continuous monitoring as an architectural requirement
- 2024 NCCoE guidance notes that automating configuration and compliance checks helps organizations reduce audit and remediation effort; the report quantifies time savings in case-study style results
- 2024 Gartner estimates that through 2025, 99% of cloud security failures will be the customer’s fault; this implies cost avoidance incentives for automated, correct configuration in managed environments
- IBM’s 2024 report states the average time to identify and contain breaches is 204 days, highlighting costly delays that automation and standardized workflows aim to shorten
- IBM’s 2022 report reported that the average time to identify and contain a breach was 287 days, showing the scale of time-related cost and risk in breaches that can be reduced by standardized operations
- Stack Overflow Developer Survey 2024 reported 14.9% of respondents used Google Cloud Platform, showing significant adoption of GCP where configuration management can be relevant
- Google Cloud survey (2023) reported that 91% of companies use cloud in some form, reinforcing the environment where configuration automation like Chef is needed
- 2023 GitHub Octoverse reported that 36% of developers use GitHub Actions, highlighting CI automation prevalence that can trigger Chef runs in pipelines
Cloud spending, DevOps growth, and container adoption are accelerating automation needs, making Chef’s configuration management more valuable.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Kowalski. (2026, February 13). Chef Statistics. Gitnux. https://gitnux.org/chef-statistics
David Kowalski. "Chef Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/chef-statistics.
David Kowalski. 2026. "Chef Statistics." Gitnux. https://gitnux.org/chef-statistics.
References
- 1gartner.com/en/newsroom/press-releases/2019-06-06-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-grow-17-percent-in-2019
- 2gartner.com/en/newsroom/press-releases/2023-02-16-gartner-forecast-worldwide-public-cloud-end-user-spending-to-grow-20-4-percent-in-2023
- 3gartner.com/en/newsroom/press-releases/2024-02-15-gartner-says-worldwide-public-cloud-end-user-spending-will-grow-18-point-1-percent-in-2024
- 6gartner.com/en/newsroom/press-releases/2023-07-18-gartner-says-containers-are-now-mainstream
- 15gartner.com/en/newsroom/press-releases/2024-01-19-gartner-predicts-that-through-2025-99-percent-of-cloud-security-failures-will-be-shared-by-cloud-customers-and-the-cloud-service-provider
- 18gartner.com/en/newsroom/press-releases/2023-09-20-gartner-predicts-36-billion-will-be-paid-in-ransomware-which-is-driven-by-attack-increasing
- 4idc.com/getdoc.jsp?containerId=US51927223
- 5idc.com/getdoc.jsp?containerId=US51927723
- 7globenewswire.com/news-release/2021/01/25/2165480/0/en/DevOps-Market-Size-Worth-12-0-Billion-By-2026-says-Fortune-Business-Insights.html
- 8mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
- 9mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
- 10csrc.nist.gov/publications/detail/sp/800-53/rev-5/final
- 11csrc.nist.gov/publications/detail/sp/800-207/final
- 19csrc.nist.gov/publications/detail/sp/800-137/final
- 12nccoe.nist.gov/projects/building-secure-and-resilient-clouds
- 13researchgate.net/publication/344241165_Continuous_Delivery_and_Deployment_Frequency_and_Change_Failure_Rate
- 14sre.google/sre-book/eliminating-toil/
- 16ibm.com/reports/data-breach
- 17ibm.com/security/data-breach
- 20survey.stackoverflow.co/2024/
- 21cloud.google.com/blog/topics/developers-practitioners/transforming-the-way-we-ship-software
- 22octoverse.github.com/







