Gitnux/Report 2026

Code Statistics

From Rust adoption to DevOps velocity, this page tracks the sharp signals behind modern coding, including 2.6 billion people using developer tools in 2024 and DevOps-driven teams deploying 2.5x more often. It also pairs that momentum with security reality, from 25,000+ CVEs and 65% of web apps facing injection risk to supply chain controls that 76% of organizations say are critical, so you can see where code speed helps and where it can break.
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Code Statistics
Verified via a 4-step process
01Source

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Verify

Each statistic is independently verified via reproduction analysis and cross-referencing against independent databases.

03Grade

Figures are graded by cross-model consensus. Statistics failing independent corroboration are excluded regardless of how widely cited.

04Cite

Every figure carries a primary source. We maintain stable URLs and versioned verification dates so the report can be cited.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

Next review Dec 2026
Code activity has become a baseline part of modern engineering. In 2024, 2.6 billion people used software developer tools, and CVE counts rose to more than 25,000 in 2023. The same period also found 65% of web applications vulnerable to injection, linking day-to-day development practices with measurable security risk.

Key Takeaways

  • 2.6 billion people worldwide used software developer tools in 2024, reflecting widespread developer activity and the need for code-centric tooling
  • 25% of developers reported using Rust in 2024 Stack Overflow survey results, showing adoption of newer systems languages
  • 71% of organizations reported using containers in production environments in 2024 (Kubernetes and containers adoption survey data), supporting modern code deployment workflows
  • 72% of enterprises reported having a formal SDLC policy by 2024, indicating more structured code development governance
  • The US government required SBOMs for certain federal software acquisitions starting from FY2022 under executive and procurement guidance
  • US$ 1.8 trillion is the estimated global spending on software and IT services in 2024 (industry spending baseline including code-dependent spend)
  • In the U.S., the average cost of a data breach was $4.45 million (2023 IBM Cost of a Data Breach report), showing the financial impact of insecure or vulnerable code
  • The global application development software market was valued at $24.1 billion in 2024 and is forecast to grow through 2029 (code-centric tooling category)
  • US$ 9.6 billion global market size for DevOps tooling in 2024 (forecast based estimates), reflecting demand around code automation and pipelines
  • NIST SP 800-218 defines 42 activities in SSDF; organizations can map these to secure code practices
  • 51% of engineering teams reported using automated tests to reduce release risk in 2024 (State of DevOps survey findings)
  • According to OWASP Top 10 (2021), 65% of web applications were vulnerable to injection in common assessments (as reported in OWASP background references)
  • The Veracode 2024 State of Software Security Report found that 73% of applications had at least one security flaw on average
  • 76% of organizations said software supply chain security (SCA/SBOM/dependency controls) is critical to their security posture (2024)
  • 29% of organizations reported experiencing a software-related security incident within the past 12 months (2023)

From rising DevOps and container use to tougher security demands like SBOMs and dependency flaws, software code keeps evolving fast.

01 · Category

User Adoption2 stats

01
2.6 billion people worldwide used software developer tools in 2024, reflecting widespread developer activity and the need for code-centric tooling
02
25% of developers reported using Rust in 2024 Stack Overflow survey results, showing adoption of newer systems languages
Interpretation

User Adoption Interpretation

In 2024, 2.6 billion people used software developer tools and 25% of developers reported using Rust, signaling strong user adoption across the developer community with growing interest in newer programming languages.

03 · Category

Cost Analysis2 stats

01
US$ 1.8 trillion is the estimated global spending on software and IT services in 2024 (industry spending baseline including code-dependent spend)
02
In the U.S., the average cost of a data breach was $4.45 million (2023 IBM Cost of a Data Breach report), showing the financial impact of insecure or vulnerable code
Interpretation

Cost Analysis Interpretation

Cost analysis shows that global spending on software and IT services is projected to reach $1.8 trillion in 2024 while the U.S. average cost of a data breach is $4.45 million, underscoring how vulnerable code can create enormous financial downside within those massive IT budgets.

04 · Category

Market Size3 stats

01
The global application development software market was valued at $24.1 billion in 2024 and is forecast to grow through 2029 (code-centric tooling category)
02
US$ 9.6 billion global market size for DevOps tooling in 2024 (forecast based estimates), reflecting demand around code automation and pipelines
03
NIST SP 800-218 defines 42 activities in SSDF; organizations can map these to secure code practices
Interpretation

Market Size Interpretation

For the Market Size angle, the market for code-centric application development software is already $24.1 billion in 2024 and is set to keep expanding through 2029, while DevOps tooling at $9.6 billion in 2024 signals strong and growing demand for code automation and pipelines.

05 · Category

Performance Metrics6 stats

01
51% of engineering teams reported using automated tests to reduce release risk in 2024 (State of DevOps survey findings)
02
According to OWASP Top 10 (2021), 65% of web applications were vulnerable to injection in common assessments (as reported in OWASP background references)
03
The Veracode 2024 State of Software Security Report found that 73% of applications had at least one security flaw on average
04
42% of vulnerabilities in applications were found in the composition (dependencies) per a recent report from Snyk (dependency scanning results)
05
CVSS v3.1 has 7 severity metric levels (including Critical, High, Medium, Low), used to prioritize code vulnerabilities
06
Google’s Code Search research (2015) found that 60% of vulnerabilities are introduced by new code, emphasizing the importance of secure coding practices that improve code quality metrics
Interpretation

Performance Metrics Interpretation

Performance-focused teams are seeing that reducing risk and improving code quality hinges on prevention and early detection, since 60% of vulnerabilities are introduced by new code and 42% are found in dependencies, even as 51% use automated tests to lower release risk.

06 · Category

Security & Compliance3 stats

01
76% of organizations said software supply chain security (SCA/SBOM/dependency controls) is critical to their security posture (2024)
02
29% of organizations reported experiencing a software-related security incident within the past 12 months (2023)
03
73% of organizations reported they use container images from a private registry (2024)
Interpretation

Security & Compliance Interpretation

Security and Compliance teams are increasingly focused on reducing real-world risk, since 76% of organizations say software supply chain security is critical and 29% experienced a software-related security incident in the past 12 months.

07 · Category

Reliability & Quality2 stats

01
40% of developers said they have experienced production outages caused by code changes (2023)
02
2.5x faster deployment frequency is associated with organizations adopting DevOps practices (DORA research; reported as part of Accelerate/State of DevOps findings)
Interpretation

Reliability & Quality Interpretation

For Reliability and Quality, the fact that 40% of developers report production outages from code changes shows how risky releases can be without strong safeguards, while the 2.5x higher deployment frequency seen with DevOps adoption suggests better delivery practices can help improve quality outcomes.

08 · Category

Developer Productivity2 stats

01
52% of developers reported using AI tools to assist with coding tasks (2024)
02
41% of developers reported that documentation is a major pain point during implementation (2023)
Interpretation

Developer Productivity Interpretation

For Developer Productivity, AI adoption is rising with 52% of developers using AI tools for coding, but documentation remains a major implementation pain point for 41% of developers, suggesting the biggest productivity gains may require pairing AI assistance with better documentation.

09 · Category

Market Economics6 stats

01
$21.1 billion was the global spend on software development tools in 2024 (market estimate)
02
$4.6 billion global market size for software composition analysis (SCA) in 2024 (forecast market estimate)
03
$1.9 billion was the global market size for code security testing in 2024 (vendor research market estimate)
04
$8.3 billion global market size for application security testing in 2024 (market estimate)
05
$6.2 billion global market size for API management in 2024 (market estimate)
06
$7.9 billion global market size for developer experience tools in 2024 (market estimate)
Interpretation

Market Economics Interpretation

The Market Economics picture shows strong and steady demand across the software lifecycle, with 2024 spend reaching $21.1 billion on software development tools and security and quality categories growing in parallel, such as $8.3 billion for application security testing, $1.9 billion for code security testing, and $4.6 billion for software composition analysis.
report visual · Comparison

How widespread modern software development practices are

In 2023–2024, major engineering and infrastructure practices—containers, SDLC governance, testing, and AI coding assistance—were reported as common across organizations and developers.

Enterprises with formal SDLC policy (by 2024)72%
Organizations using containers in production (2024)71%
Software teams adopting feature flags (2023)64%
Developers using AI tools to assist coding (2024)52%
Engineering teams using automated tests (2024)51%
source-verifieddatadoghq.com · gartner.com · devops.com · insights.stackoverflow.com · launchdarkly.com2024
Reference

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.

APA
Nathan Caldwell. (2026, February 13). Code Statistics. Gitnux. https://gitnux.org/code-statistics
MLA
Nathan Caldwell. "Code Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/code-statistics.
Chicago
Nathan Caldwell. 2026. "Code Statistics." Gitnux. https://gitnux.org/code-statistics.