DATASET + REPORT
1H 2026 Software Lifecycle Engineering Decision Maker Survey Report

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This report captures a pivotal shift in how enterprise teams are accelerating software delivery — moving from hiring-led growth to AI-led scale.

Backed by insights from 828 global decision-makers, it quantifies the real “velocity gap” between perceived DevOps maturity and actual release cadence, grounding industry narratives in hard evidence. The analysis goes beyond trends to offer concrete recommendations on AI, AIOps, DevSecOps, and observability, making it immediately useful for both technology leaders and vendors.

It combines strategic clarity with practical guidance, making it highly relevant for anyone shaping software, platform, or AI investment decisions in 2026

 

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Software Life Cycle Engineering

  • AI over headcount for speed: Organizations are prioritizing investment in Generative AI and AI/ML as the fastest way to accelerate software delivery, decisively surpassing hiring as the primary growth lever.

  • DevOps confidence vs. delivery reality: Despite high self-reported DevOps maturity, most organizations remain constrained to weekly or monthly releases, with true daily delivery still achieved by only a small elite.

  • Automation to manage complexity: Growing cloud-native complexity is pushing teams to favor AIOps and automation as critical accelerators, ahead of further infrastructure modernization efforts.