Dynatrace Unveils Insights from Global Survey on AI Adoption and Observability Trends

On October 7, 2025, Dynatrace Inc. (NYSE: DT), the leading AI-powered observability platform, released the State of Observability Report 2025, shedding light on the current landscape of AI adoption among global business leaders. The report, derived from an independent survey of 842 CIOs, CTOs, and other senior technology executives across large organizations, highlights a significant trend: while AI adoption is surging, concerns regarding its reliability and trust pose challenges for businesses transitioning from concept to production.

The survey reveals that over two-thirds (70%) of respondents have seen their observability budgets increase in the past year, indicating a strong prioritization of observability solutions as businesses strive to scale their AI initiatives. Business leaders are looking to observability as a critical element in ensuring the reliability and transparency of AI-driven systems.

The report notes that 100% of respondents are currently utilizing AI in their operations, with prominent use cases including:

Exciting opportunities for further AI adoption lie in areas such as sustainability (27%) and logs management (29%). Moreover, leaders anticipate substantial value from AI-powered automation, especially in real-time detection and response to security risks (37%) and anomaly detection (41%).

The survey underscores a pressing concern among business leaders regarding AI governance and trust. One in four executives identifies improving AI governance as their top priority. Key issues affecting trust revolve around:

Moreover, a remarkable 69% of AI-driven decisions still incorporate human oversight to verify accuracy, signifying the necessity for continued human involvement in AI processes. Security compliance remains a significant area of focus, with 98% of leaders using AI for this purpose, and 69% expecting increased budgets for AI-powered threat detection in the upcoming fiscal year.

Alois Reitbauer, Chief Technology Strategist at Dynatrace, emphasized the need for enterprise IT to evolve beyond merely integrating AI into existing systems. He noted, “Enterprise IT software and applications must evolve from simply adding AI to existing systems toward building truly AI-native experiences.” Reitbauer highlighted that effective observability is essential for fostering transparency and scalability in AI-driven systems.

The report forecasts that over 50% of business leaders anticipate automated real-time observability solutions will enhance customer experience within the next year, with 46% expecting the highest ROI from optimizing AI model configurations. By 2030, half of the surveyed leaders expect to have implemented AI-powered data encryption, risk assessments, and threat detection capabilities.

The trend of increasing observability budgets is expected to continue, with 75% of respondents predicting further budget increases in the next fiscal year.

Reitbauer encapsulated the essence of the report, stating, “Observability is shifting from reporting telemetry about application health to informing the decisions that run the business.” As AI continues to shape decision-making processes, effective observability emerges as the cornerstone for maximizing AI's potential, providing the necessary context and feedback loops for confident decision-making at scale.

For more in-depth insights, the complete State of Observability Report 2025 is available for download, showcasing the pivotal role observability plays in the ongoing transformation of AI-powered enterprises.

As organizations navigate the complexities of digital ecosystems, the findings from Dynatrace's report serve as a vital resource for leaders seeking to leverage AI effectively while ensuring reliability and trust in their operations.