Key Takeaways
- 78% of organizations expect to adopt Software Bill of Materials (SBOM) by 2025
- The Biden Executive Order 14028 increased SBOM focus by 300% in federal contracting
- Only 17% of surveyed organizations have a mature SBOM management process
- 80% of organizations have shifted security testing to an earlier stage in the supply chain (Shift Left)
- DevOps teams spend 15% of their total time managing software dependencies
- The global DevSecOps market is expected to grow at a CAGR of 30%
- 40% of organizations lack visibility into the software used by their own vendors
- The software supply chain security market is projected to reach $6.8 billion by 2030
- 30% of global organizations will use a software supply chain integrity tool by 2026
- 96% of software across all industries contains open source components
- The average software application contains 128 open source dependencies
- Open source code makes up more than 70% of the average codebase
- 91% of organizations experienced a software supply chain incident in the last 12 months
- 61% of businesses were impacted by a software supply chain attack in the past year
- 82% of CIOs say their organization is vulnerable to cyberattacks targeting software supply chains
Most firms expect SBOMs and stronger supply chain security, yet few have mature processes.
Compliance & Governance
Compliance & Governance Interpretation
Development & DevOps
Development & DevOps Interpretation
Market Trends & Future
Market Trends & Future Interpretation
Open Source & Infrastructure
Open Source & Infrastructure Interpretation
Security & Vulnerabilities
Security & Vulnerabilities Interpretation
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.
James Okoro. (2026, February 13). Supply Chain In The Software Industry Statistics. Gitnux. https://gitnux.org/supply-chain-in-the-software-industry-statistics
James Okoro. "Supply Chain In The Software Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/supply-chain-in-the-software-industry-statistics.
James Okoro. 2026. "Supply Chain In The Software Industry Statistics." Gitnux. https://gitnux.org/supply-chain-in-the-software-industry-statistics.
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