Dynatrace
All Statistics
More than a quarter of organizations burn engineering cycles just keeping multiple observability tools running across environments.
Organizations use an average of seven different tools to manage logs and telemetry.
80% of senior technology leaders say turning telemetry into actionable insights is negatively impacting customer experience and delaying AI initiatives.
36% of respondents are concerned about data privacy related to AI usage.
25% of respondents are concerned about regulatory compliance related to AI usage.
28% of Organizations are using AI to align observability data with KPIs.
Roughly a third of organizations pay for redundant or underutilized observability features.
Organizations exclude an average of 86% of log data to manage costs and system limitations.
Nearly three-quarters of senior technology leaders say AI workloads require a platform-based approach to log management.
AI workloads drive a 93% increase in log volume over the last 12 months.
Technology teams spend an average of nearly $2.5 million annually on logging solutions.
81% of senior technology leaders believe log ingestion and processing must be open and automated for real-time analysis.
Nearly half of organizations discard or do not collect logs to manage cost and system limitations.
Supporting compliance with security policies is a top security convergence goal for 33% of organizations in France.
29% of respondents in Spain identify improving crisis management as a top security convergence goal.
32% of respondents in Italy cite concern about ROI as their top barrier to AI security.
54% of Organizations are using observability solutions for analyzing user interactions within a complex system.
Enhancing threat visibility and improving crisis management are the top security convergence goals for 37% of US organizations.
29% of organizations consider AI capabilities as a criterion when selecting observability platforms.
41% of respondents are concerned about cybersecurity related to AI usage.
Enhancing threat visibility is a security convergence goal for 31% of German organizations.
32% of respondents in Spain identify optimizing cloud security as a top security convergence goal.
26% of respondents are concerned about distrust of AI predictions/outcomes.
35% of respondents in Italy identify enhancing threat visibility as a top security convergence goal.
Exposing vulnerabilities is a top security convergence goal for 40% of German organizations.
Optimizing cloud security is a top security convergence goal for 39% of German organizations.
18% of respondents are concerned about AI ethics.
17% of respondents are concerned about algorithmic bias in AI.
32% of respondents in Japan identify improving crisis management as a top security convergence goal.
Optimizing cloud security is a top security convergence goal for 43% of organizations in France.
46% of organizations reported that their organization uses AI for security operations.
30% of organizations use AI for DevOps and software delivery.
57% of organizations reported that their organization uses AI for data management.
32% of organizations use AI for observability.
75% of Organizations reported that their observability budget has increased in the past year.
Optimizing cloud security is a top security convergence goal for 36% of US organizations.
Enhancing threat visibility is a top security convergence goal for 32% of organizations in France.
45% of respondents in Japan identify optimizing cloud security as a top security convergence goal.
70% of Organizations expect their observability budgets to increase next year.
32% of respondents in Italy identify streamlining security operations as a top security convergence goal.
69% of AI-powered decisions at organizations are verified by humans.
100% of organizations have adopted at least some form of AI.
36% of respondents in Spain identify streamlining security operations as a top security convergence goal.
33% of respondents are concerned about data quality related to AI usage.
57% of Organizations are using observability solutions for managing security incident response.
36% of respondents in Italy identify optimizing cloud security as a top security convergence goal.
57% of Organizations are using observability solutions for monitoring cloud applications.
41% of respondents consider automating remediation as a source of greatest expected ROI of AI-powered observability.
52% of organizations in France are especially concerned about complex compliance requirements of sustainable AI practices compared to other countries.
By 2030, 50% of organizations expect to have adopted AI-powered data encryption, risk assessments, and threat detection capabilities.