Azure
Azure began 2026 with increased adoption of autonomous cloud operations across enterprises.
Over 65% of large organizations leveraged automated scaling and self-healing capabilities.
Hybrid and multi-region deployments accounted for nearly 70% of new Azure architectures.
Policy-driven governance reduced manual operational tasks by an estimated 40%.
Reliability and cost optimization remained top priorities for cloud leaders.
.NET
.NET usage continued strong, with over 55% of enterprise backend services built on modern .NET versions.
Performance improvements delivered up to 20–30% lower latency in high-throughput APIs.
Cloud-native patterns were used in more than 60% of newly developed services.
Developer productivity gains reduced average development cycles by approximately 25%.
Maintainability and long-term support influenced most architectural decisions.
ML.NET
ML.NET adoption grew steadily, with around 45% of .NET teams experimenting with ML-driven features.
Production ML pipelines reduced manual data processing efforts by nearly 35%.
Model monitoring and drift detection were implemented in over 50% of active ML.NET deployments.
Inference optimization improved prediction response times by up to 30%.
Machine learning became a standard enhancement rather than an experimental feature.
Angular
Angular remained a preferred enterprise frontend framework, used in over 40% of large-scale web applications.
Performance optimizations reduced initial load times by 20–25% on average.
Modular architectures cut UI maintenance effort by nearly 30%.
Automated testing coverage exceeded 70% in mature Angular projects.
Stability, predictability, and long-term support continued to drive adoption.