Software Development
We've curated 41 cybersecurity statistics about Software Development to help you understand how secure coding practices, vulnerability management, and integrated security measures are evolving in 2025.
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50% of U.S. mid-market enterprise IT leaders expect AI to have a positive impact on software development and engineering productivity.
48% of development teams experience bottlenecks in code rework related to AI-generated code.
56% of development professionals prefer a dedicated AI security agent separate from the code-generation tool to evaluate AI-generated code.
97% of development teams have adopted AI coding assistants.
30% of development professionals believe the same AI model that generated the code should also review it for security issues.
84% of developers prefer to keep a human in the loop via pull requests or real-time IDE suggestions when using AI-assisted development.
AI coding assistants have 97% adoption among enterprise development teams.
92% of development teams report improved productivity and release velocity when using AI coding assistants.
58% of development teams cite a major improvement in productivity and release velocity from AI coding assistants.
67% of technology leaders state that AI now generates or significantly refactors between 51% and 75% of their organization's weekly code output.
52% of development teams experience bottlenecks in manual review related to AI-generated code.
53% of development teams have grown total code volume by over 25%.
51% of development teams experience bottlenecks in security testing related to AI-generated code.
68% of developers say it is extremely important to have a clear, automated system for tracking AI-generated code and measuring its impact for debugging, security, and accountability.
30% of development teams have full governance in place for AI coding assistant adoption and oversight.
Developers will spend 29% more time reviewing and validating AI-generated code, 29% more time on complex architecture and system design, and 23% more time on security verification and risk management.
Teams with full governance for AI coding assistants in place are 55% more likely to report a major improvement in efficiency.
Nearly 90% of development teams encounter issues with AI-generated code.
38% of organizations still rely primarily on manual review for AI-generated code.
67% of organizations report that AI coding assistants are now widely adopted across development teams.