Gartner: Top Trends Impacting Infrastructure and Operations for 2025

Gartner, Inc. highlighted the six trends that will have a significant impact on infrastructure and operations (I&O) for 2025.

"These trends give the opportunity for I&O leaders to identify future skills requirements and seek insights to help meet implementation requirements," said Jeffrey Hewitt, Vice President Analyst at Gartner. "They will provide the differentiation needed for enterprises to gain the optimal benefits from their I&O operations in 2025."

Trend No. 1: Revirtualization/devirtualization

The recent license changes for certain vendor-based solutions have forced many I&O teams to re-evaluate their virtualization choices with some moving more to public cloud, some turning to distributed cloud and some moving to private cloud. This involves multiple options beyond just changing hypervisors.

"I&O leaders must inventory all current virtualization implementations and any related interdependencies," said Hewitt. "Evaluate alternative paths including hypervisors, hyperconvergence, distributed cloud, containerization, private cloud and devirtualization. Identify existing I&O skills and how those need to evolve to support top choices."

Trend No. 2: Security Behavior and Culture Programs

As the sophistication and variety of attacks increases, security programs must evolve to address behavior and culture to optimize their effectiveness. Security behavior and culture programs (SBCPs) are enterprisewide approaches to minimize cybersecurity incidents associated with employee behavior.

SBCP programs result in improved employee adoption of security controls and reductions in behavior not considered secure. They enable I&O to help support the more effective use of cybersecurity resources by employees.

Trend No. 3: Cyberstorage

Cyberstorage solutions utilize a data harbor made up of data that is fragmented and distributed across multiple storage locations. The fragmented data can be instantly reassembled for use when needed.

Cyberstorage can be a dedicated solution with comprehensive features, a platform-native service offering with integrated solutions, or a collection of stand-alone products that augment storage vendors with cyberprotection capabilities.

"For cyberstorage to be successful, I&O leaders should identify the risks of costly and disruptive storage threats, combined with increasing regulatory and insurance expenses to build a business case for cyberstorage adoption," said Hewitt.

Trend No. 4: Liquid-cooled Infrastructure

Liquid-cooled infrastructure consists of rear-door heat exchange, immersion and direct-to-chip. It enables I&O to support new chip generations, density and AI requirements, while also providing I&O opportunities to flexibly place infrastructure to support edge use cases.

"Liquid cooling has evolved to move from cooling the broader data center environment to getting closer and even within the infrastructure," said Hewitt. "Liquid-cooled infrastructure remains niche today in terms of use cases but will become more predominant as next generations of GPUs and CPUs increase in power consumption and heat production."

Trend No. 5: Intelligent Applications

Generative AI has revealed applications' potential to operate intelligently, which has created the expectation for intelligent applications. Intelligent applications adapt to their user's context and intent, thereby reducing digital friction. It can interoperate in pursuit of their own, as well as their users' intents, by marshaling the appropriate interfaces to external APIs and connected data.

Ultimately, intelligent applications reduce required intervention and interactions on the part of I&O. It also optimizes processes and utilization while reducing resource overhead.

Trend No. 6: Optimal Infrastructure

Optimal infrastructure is when I&O teams place a highly significant emphasis on the best infrastructure choices for a given use case across a range of deployment styles. This approach utilizes a business-based focus so that executives outside of IT can understand why infrastructure choices are made from their perspectives.

"These choices are ultimately aligned with platform engineering adoption," said Hewitt. "They allow I&O to align infrastructure choices with the business objectives of the overall organization. They also facilitate the support and approval of business unit leaders and C-level executives."

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Gartner: Top Trends Impacting Infrastructure and Operations for 2025

Gartner, Inc. highlighted the six trends that will have a significant impact on infrastructure and operations (I&O) for 2025.

"These trends give the opportunity for I&O leaders to identify future skills requirements and seek insights to help meet implementation requirements," said Jeffrey Hewitt, Vice President Analyst at Gartner. "They will provide the differentiation needed for enterprises to gain the optimal benefits from their I&O operations in 2025."

Trend No. 1: Revirtualization/devirtualization

The recent license changes for certain vendor-based solutions have forced many I&O teams to re-evaluate their virtualization choices with some moving more to public cloud, some turning to distributed cloud and some moving to private cloud. This involves multiple options beyond just changing hypervisors.

"I&O leaders must inventory all current virtualization implementations and any related interdependencies," said Hewitt. "Evaluate alternative paths including hypervisors, hyperconvergence, distributed cloud, containerization, private cloud and devirtualization. Identify existing I&O skills and how those need to evolve to support top choices."

Trend No. 2: Security Behavior and Culture Programs

As the sophistication and variety of attacks increases, security programs must evolve to address behavior and culture to optimize their effectiveness. Security behavior and culture programs (SBCPs) are enterprisewide approaches to minimize cybersecurity incidents associated with employee behavior.

SBCP programs result in improved employee adoption of security controls and reductions in behavior not considered secure. They enable I&O to help support the more effective use of cybersecurity resources by employees.

Trend No. 3: Cyberstorage

Cyberstorage solutions utilize a data harbor made up of data that is fragmented and distributed across multiple storage locations. The fragmented data can be instantly reassembled for use when needed.

Cyberstorage can be a dedicated solution with comprehensive features, a platform-native service offering with integrated solutions, or a collection of stand-alone products that augment storage vendors with cyberprotection capabilities.

"For cyberstorage to be successful, I&O leaders should identify the risks of costly and disruptive storage threats, combined with increasing regulatory and insurance expenses to build a business case for cyberstorage adoption," said Hewitt.

Trend No. 4: Liquid-cooled Infrastructure

Liquid-cooled infrastructure consists of rear-door heat exchange, immersion and direct-to-chip. It enables I&O to support new chip generations, density and AI requirements, while also providing I&O opportunities to flexibly place infrastructure to support edge use cases.

"Liquid cooling has evolved to move from cooling the broader data center environment to getting closer and even within the infrastructure," said Hewitt. "Liquid-cooled infrastructure remains niche today in terms of use cases but will become more predominant as next generations of GPUs and CPUs increase in power consumption and heat production."

Trend No. 5: Intelligent Applications

Generative AI has revealed applications' potential to operate intelligently, which has created the expectation for intelligent applications. Intelligent applications adapt to their user's context and intent, thereby reducing digital friction. It can interoperate in pursuit of their own, as well as their users' intents, by marshaling the appropriate interfaces to external APIs and connected data.

Ultimately, intelligent applications reduce required intervention and interactions on the part of I&O. It also optimizes processes and utilization while reducing resource overhead.

Trend No. 6: Optimal Infrastructure

Optimal infrastructure is when I&O teams place a highly significant emphasis on the best infrastructure choices for a given use case across a range of deployment styles. This approach utilizes a business-based focus so that executives outside of IT can understand why infrastructure choices are made from their perspectives.

"These choices are ultimately aligned with platform engineering adoption," said Hewitt. "They allow I&O to align infrastructure choices with the business objectives of the overall organization. They also facilitate the support and approval of business unit leaders and C-level executives."

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Breaking Down Agentic AI Fragmentation and Complexity with Governance

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud Spend Is Rising and Cloud Optimization Is Key to Funding AI and Protecting Margins

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

Building AI Agents That Build Trust

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

Keys to Building a Partner Ecosystem That Scales

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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