Global Report Reveals Business Leaders are Seeking New Ways to Drive AI Value and Trust
Observability investments expand as organizations look to scale AI use cases while mitigating risk and optimizing cost
Key findings from the report include:
AI Adoption
-
100% of business leaders surveyed are using AI as part of their operations today. Top AI use cases include data management (57% ), AI governance (50% ) and security operations (46% ). -
AI use cases such as sustainability (
27% ) and logs management (29% ) present exciting opportunities for organizations to expand adoption and unlock greater efficiency and ROI. -
The two major categories where business leaders anticipate AI-powered automation delivering significant value are real-time detection of and response to security risks (
37% ) and anomaly detection (41% ).
AI Governance, Trust and Security
- One in four business leaders believe improving AI governance and trust should be their highest priority.
-
For leaders in charge of data governance, their top two areas of concern with AI reliability are related to data quality and predictability (
50% ) and data privacy (45% ). -
More than two-thirds (
69% ) of AI-powered decisions still include human-in-the-loop processes to verify accuracy. -
Nearly all (
98% ) business leaders reported using AI to manage security compliance in some capacity, with a combined69% seeing increased budgets for AI-powered threat detection in the past year and expecting budgets to increase next year.
“Enterprise IT software and applications must evolve from simply adding AI to existing systems toward building truly AI-native experiences,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “This shift introduces new challenges for observability, as organizations must ensure their AI-driven systems are transparent, reliable, and scalable. Observability becomes the critical foundation, providing the shared intelligence needed to navigate these challenges, make smarter decisions, and drive safe, efficient automation at scale.”
Additional report findings include:
-
More than
50% of business leaders see automated real-time observability solutions to enhance customer experience within the next year. -
46% of business leaders anticipate the greatest ROI of AI-powered observability will come from optimizing AI model configurations. -
By 2030,
50% of business leaders expect to have adopted AI-powered data encryption, risk assessments and threat detection capabilities. -
70% of those surveyed say observability budgets have increased in the past year, and three-quarters (75% ) expect budgets to increase in the next fiscal year.
“Observability is shifting from reporting telemetry about application health to informing the decisions that run the business,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “As more of those decisions are supported by AI, observability becomes the key to unlocking the full potential of AI‑driven decision support, providing the trustworthy context, guardrails, and feedback loops leaders need to act with confidence at scale.”
Download the full report here: The State of Observability Report 2025: Why observability is becoming the control plane for AI-powered enterprise transformation.
Methodology
This report is based on a global survey conducted by Qualtrics and commissioned by Dynatrace of 842 CIOs, CTOs, and other senior technology leaders involved in IT operations and DevOps management in large enterprises with an annual company revenue greater than or equal to
Additional Resources
About Dynatrace
Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.
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This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities and platform and the expected current and future benefits to organizations from using the Dynatrace platform. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document because of new information, future events, or otherwise.
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Source: Dynatrace
