Dynatrace Announces Expanded Cloud-Native Integrations at User Conference
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 28 2026
0mins
Should l Buy DT?
At Perform, its flagship annual user conference, Dynatrace (DT) announced expanded cloud-native integrations across Amazon Web Services (AMZN), Microsoft Azure (MSFT), and Google Cloud Platform (GOOGL). "With the updated cloud solution capabilities from Dynatrace, we are achieving a new standard for cloud operations," said Alexandre Demailly, Head of Cloud Architecture Squad at SBS Software. "With Dynatrace, we have complete visibility into our cloud environments, moving us closer to achieving fully autonomous operations. This allows us to innovate more with less, all while maintaining end-to-end understanding and control of our technology stack."
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Analyst Views on DT
Wall Street analysts forecast DT stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for DT is 59.12 USD with a low forecast of 50.00 USD and a high forecast of 67.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
19 Analyst Rating
15 Buy
4 Hold
0 Sell
Strong Buy
Current: 33.470
Low
50.00
Averages
59.12
High
67.00
Current: 33.470
Low
50.00
Averages
59.12
High
67.00
About DT
Dynatrace, Inc. is an artificial intelligence (AI)-powered observability platform. It is advancing observability for digital businesses and transforming the complexity of modern digital ecosystems into business assets. It enables organizations to analyze and automate. Its platform combines broad and deep observability, continuous runtime application security, and advanced AI to support information technology (IT) operations, development, security, and business teams, enabling organizations to optimize cloud and IT operations, accelerate secure software delivery, and improve digital performance. Its platform's solutions include infrastructure observability, application observability, AI observability, digital experience, business analytics, software delivery, threat observability, application security, and log analytics. Infrastructure observability provides visibility into a customer’s IT infrastructure layer across public and private clouds and hybrid, multicloud environments.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
Dynatrace Exceeds Guidance, Raises FY'26 Outlook
- Performance Exceeds Expectations: Dynatrace's Q3 results reveal total ARR of $1.972 billion, marking a 20% year-over-year increase and a 16% rise on a constant currency basis, indicating sustained strong demand for its enterprise observability platform and reinforcing its market leadership.
- Margin Improvement: The company achieved a GAAP operating margin of 14% and a non-GAAP operating margin of 30%, significantly up from the previous year, reflecting successful cost control and operational efficiency, thereby enhancing investor confidence in its long-term profitability.
- Share Repurchase Program: Dynatrace announced a new $1 billion share repurchase program following the near completion of its initial $500 million buyback, signaling strong confidence in its intrinsic value and expected to further boost earnings per share and shareholder returns.
- Market Expansion and Innovation: In Q3, Dynatrace closed 12 deals exceeding $1 million in ARR, with 11 in collaboration with partners, showcasing its robust market expansion capabilities, while launching several product innovations that enhance its competitiveness in the cloud and AI sectors.
See More
Dynatrace Set to Announce Q3 Earnings on February 9th
- Earnings Announcement: Dynatrace is set to release its Q3 earnings on February 9th before market open, with a consensus EPS estimate of $0.41, reflecting a 10.8% year-over-year increase, which indicates ongoing improvement in profitability and may boost investor confidence.
- Revenue Growth Expectations: Analysts project Dynatrace's Q3 revenue to reach $506.23 million, representing a 16.1% year-over-year growth, highlighting sustained demand in the cloud computing and software sectors, which could drive stock price appreciation.
- Historical Performance: Over the past two years, Dynatrace has consistently exceeded EPS and revenue estimates 100% of the time, showcasing its robust business model and competitive edge in the market, thereby enhancing market confidence in its future performance.
- Revision Trends: In the last three months, EPS estimates have seen 20 upward revisions and 2 downward, while revenue estimates have experienced 27 upward revisions and 1 downward, indicating a positive revision trend that reflects analysts' optimistic outlook on the company's future performance, potentially attracting more investor interest.
See More
Dynatrace Unveils New AI-Driven Observability Capabilities
- Enhanced Developer Experience: At its annual user conference, Dynatrace introduced a new generation of developer experience and intelligent AI capabilities, transforming software delivery from passive insights into a real-time control layer, significantly improving development efficiency and application stability.
- AI-Driven Product Development: According to Dynatrace research, 42% of organizations are already using agentic AI in customer-facing digital products, with 31% planning to expand adoption over the next five years, indicating a rapid growth in demand for intelligent control in the market.
- Frontend Observability Improvements: The newly launched RUM and Error Inspector applications provide developers with deeper insights into user behavior, enabling quick identification of frontend issues, thereby reducing debugging time and enhancing app stability.
- Multi-Cloud Integration: Through the acquisition of DevCycle, Dynatrace has transformed observability into an active control system that continuously validates behavior and automatically responds to issues, enhancing safe automation capabilities across multi-cloud and multi-AI environments.
See More
Dynatrace Launches Intelligent Agents to Enhance Operational Efficiency
- Intelligent Agent Launch: Dynatrace introduces intelligent agents built on its first agentic operations system, aimed at enabling enterprises to achieve fully autonomous operational outcomes through real-time observability insights, thereby enhancing business responsiveness and precision.
- Automated Operations Enhancement: The new agents quickly mobilize the right resources to assess context and urgency upon detecting anomalies or receiving user requests, significantly improving team response efficiency and consistency while reducing operational toil.
- Cross-Ecosystem Collaboration: Dynatrace's intelligent agents collaborate with external platform agents and enterprise systems, ensuring rapid action across the entire operational landscape, allowing teams to transition from alerts to actions in minutes, thus enhancing overall operational efficiency.
- Strategic Partnerships: By closely collaborating with technology partners like AWS, Microsoft Azure, and Google Cloud, Dynatrace assists customers in shifting from incident management to intelligence management, creating a self-healing foundation that drives innovation and optimizes performance.
See More
Dynatrace Perform Highlights Cross-Industry Customer Success
- Customer Success Case: Canadian tech giant TELUS leverages Dynatrace AI Observability to consolidate multiple monitoring tools, reducing tooling costs and achieving a 30% decrease in onboarding time for new teams, thereby enhancing operational efficiency and cost-effectiveness.
- Automation Enhancement: By shortening the deployment time for end-to-end observability from 600 minutes to just 20 minutes, TELUS significantly saves time, optimizes business processes, and strengthens its management capabilities for AI applications.
- Innovative Advancements: Dynatrace introduces unified observability supporting various agentic AI frameworks, helping enterprises effectively scale AI initiatives while mitigating security and compliance risks, thus improving return on investment.
- Industry Transformation: Dynatrace's customers are leading the shift from AI experimentation to enterprise-scale AI, utilizing deep observability and intelligent analytics to achieve faster innovation, higher customer satisfaction, and enhanced operational efficiency.
See More
Dynatrace Unveils Next-Gen Real User Monitoring Capabilities
- User Experience Optimization: Dynatrace's next-generation Real User Monitoring (RUM) capabilities unify front-end telemetry with back-end context, enabling better understanding and optimization of user experiences across modern web and mobile applications.
- Enhanced Smart Analytics: The new system allows querying front-end performance and session data within the Grail data lake, providing precise contextual insights that help businesses analyze SPA rendering delays and AI-generated content performance, thereby improving decision-making effectiveness.
- Developer-Friendly Applications: A dedicated interface prioritizes grouped errors, enabling quick identification of trends and root causes, while applications like Error Inspector accelerate troubleshooting, enhancing development efficiency.
- Behavioral Analysis Capability: By capturing user interactions and soft navigations, Dynatrace RUM assists application owners in identifying user experience issues even when back-end performance appears healthy, ensuring smooth and effective user journeys.
See More
Dynatrace Exceeds Guidance, Raises FY'26 Outlook
- Performance Exceeds Expectations: Dynatrace's Q3 results reveal total ARR of $1.972 billion, marking a 20% year-over-year increase and a 16% rise on a constant currency basis, indicating sustained strong demand for its enterprise observability platform and reinforcing its market leadership.
- Margin Improvement: The company achieved a GAAP operating margin of 14% and a non-GAAP operating margin of 30%, significantly up from the previous year, reflecting successful cost control and operational efficiency, thereby enhancing investor confidence in its long-term profitability.
- Share Repurchase Program: Dynatrace announced a new $1 billion share repurchase program following the near completion of its initial $500 million buyback, signaling strong confidence in its intrinsic value and expected to further boost earnings per share and shareholder returns.
- Market Expansion and Innovation: In Q3, Dynatrace closed 12 deals exceeding $1 million in ARR, with 11 in collaboration with partners, showcasing its robust market expansion capabilities, while launching several product innovations that enhance its competitiveness in the cloud and AI sectors.
See More
Dynatrace Set to Announce Q3 Earnings on February 9th
- Earnings Announcement: Dynatrace is set to release its Q3 earnings on February 9th before market open, with a consensus EPS estimate of $0.41, reflecting a 10.8% year-over-year increase, which indicates ongoing improvement in profitability and may boost investor confidence.
- Revenue Growth Expectations: Analysts project Dynatrace's Q3 revenue to reach $506.23 million, representing a 16.1% year-over-year growth, highlighting sustained demand in the cloud computing and software sectors, which could drive stock price appreciation.
- Historical Performance: Over the past two years, Dynatrace has consistently exceeded EPS and revenue estimates 100% of the time, showcasing its robust business model and competitive edge in the market, thereby enhancing market confidence in its future performance.
- Revision Trends: In the last three months, EPS estimates have seen 20 upward revisions and 2 downward, while revenue estimates have experienced 27 upward revisions and 1 downward, indicating a positive revision trend that reflects analysts' optimistic outlook on the company's future performance, potentially attracting more investor interest.
See More
Dynatrace Unveils New AI-Driven Observability Capabilities
- Enhanced Developer Experience: At its annual user conference, Dynatrace introduced a new generation of developer experience and intelligent AI capabilities, transforming software delivery from passive insights into a real-time control layer, significantly improving development efficiency and application stability.
- AI-Driven Product Development: According to Dynatrace research, 42% of organizations are already using agentic AI in customer-facing digital products, with 31% planning to expand adoption over the next five years, indicating a rapid growth in demand for intelligent control in the market.
- Frontend Observability Improvements: The newly launched RUM and Error Inspector applications provide developers with deeper insights into user behavior, enabling quick identification of frontend issues, thereby reducing debugging time and enhancing app stability.
- Multi-Cloud Integration: Through the acquisition of DevCycle, Dynatrace has transformed observability into an active control system that continuously validates behavior and automatically responds to issues, enhancing safe automation capabilities across multi-cloud and multi-AI environments.
See More
Dynatrace Launches Intelligent Agents to Enhance Operational Efficiency
- Intelligent Agent Launch: Dynatrace introduces intelligent agents built on its first agentic operations system, aimed at enabling enterprises to achieve fully autonomous operational outcomes through real-time observability insights, thereby enhancing business responsiveness and precision.
- Automated Operations Enhancement: The new agents quickly mobilize the right resources to assess context and urgency upon detecting anomalies or receiving user requests, significantly improving team response efficiency and consistency while reducing operational toil.
- Cross-Ecosystem Collaboration: Dynatrace's intelligent agents collaborate with external platform agents and enterprise systems, ensuring rapid action across the entire operational landscape, allowing teams to transition from alerts to actions in minutes, thus enhancing overall operational efficiency.
- Strategic Partnerships: By closely collaborating with technology partners like AWS, Microsoft Azure, and Google Cloud, Dynatrace assists customers in shifting from incident management to intelligence management, creating a self-healing foundation that drives innovation and optimizes performance.
See More
Dynatrace Perform Highlights Cross-Industry Customer Success
- Customer Success Case: Canadian tech giant TELUS leverages Dynatrace AI Observability to consolidate multiple monitoring tools, reducing tooling costs and achieving a 30% decrease in onboarding time for new teams, thereby enhancing operational efficiency and cost-effectiveness.
- Automation Enhancement: By shortening the deployment time for end-to-end observability from 600 minutes to just 20 minutes, TELUS significantly saves time, optimizes business processes, and strengthens its management capabilities for AI applications.
- Innovative Advancements: Dynatrace introduces unified observability supporting various agentic AI frameworks, helping enterprises effectively scale AI initiatives while mitigating security and compliance risks, thus improving return on investment.
- Industry Transformation: Dynatrace's customers are leading the shift from AI experimentation to enterprise-scale AI, utilizing deep observability and intelligent analytics to achieve faster innovation, higher customer satisfaction, and enhanced operational efficiency.
See More
Dynatrace Unveils Next-Gen Real User Monitoring Capabilities
- User Experience Optimization: Dynatrace's next-generation Real User Monitoring (RUM) capabilities unify front-end telemetry with back-end context, enabling better understanding and optimization of user experiences across modern web and mobile applications.
- Enhanced Smart Analytics: The new system allows querying front-end performance and session data within the Grail data lake, providing precise contextual insights that help businesses analyze SPA rendering delays and AI-generated content performance, thereby improving decision-making effectiveness.
- Developer-Friendly Applications: A dedicated interface prioritizes grouped errors, enabling quick identification of trends and root causes, while applications like Error Inspector accelerate troubleshooting, enhancing development efficiency.
- Behavioral Analysis Capability: By capturing user interactions and soft navigations, Dynatrace RUM assists application owners in identifying user experience issues even when back-end performance appears healthy, ensuring smooth and effective user journeys.
See More
