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Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact:

Trend 1: Cloud Dissatisfaction

Cloud adoption continues to grow, but not all implementations succeed. Gartner predicts 25% of organizations will have experienced significant dissatisfaction with their cloud adoption by 2028, due to unrealistic expectations, suboptimal implementation and/or uncontrolled costs.

To remain competitive, enterprises need a clear cloud strategy and effective execution. Gartner research indicates that those that have successfully addressed upfront strategic focus by 2029 will find their cloud dissatisfaction will decrease.

Trend 2: AI/ML Demand Increases

Demand for AI/ML is set to surge, with hyperscalers positioned at the core of this growth. They will drive a shift in how compute resources are allocated by embedding foundational capabilities into their IT infrastructure, facilitating partnerships with vendors and users, and leveraging real and synthetic data to train AI models. Gartner predicts 50% of cloud compute resources will be devoted to AI workloads by 2029, up from less than 10% today.

"This all points to a fivefold increase in AI-related cloud workloads by 2029," said Joe Rogus, Director, Advisory at Gartner. "Now is the time for organizations to assess whether their data centers and cloud strategies are ready to handle this surge in AI & ML demand. In many cases, they might need to bring AI to where the data is to support this growth."

Trend 3: Multicloud and Cross Cloud

Many organizations that have adopted multicloud architecture find connecting to and between providers a challenge. This lack of interoperability between environments can slow cloud adoption, with Gartner predicting more than 50% of organizations will not get the expected results from their multicloud implementations by 2029.

Gartner recommends identifying specific use cases and planning for distributed apps and data in the organization that could benefit from a cross-cloud deployment model. This enables workloads to operate collaboratively across different cloud platforms, as well as different on-premises and colocation facilities.

Trend 4: Industry Solutions

There is an upward trend toward industry-specific cloud platforms, with more vendors offering solutions that address vertical business outcomes and help scale digital initiatives. Over 50% of organizations will use industry cloud platforms to accelerate their business initiatives by 2029, according to Gartner.

Gartner recommends organizations approach industry cloud platforms as a strategic way to add new capabilities to their broader IT portfolio, rather than a total replacement. This allows organizations to avoid technical debt, drive innovation and business value.

Trend 5: Digital Sovereignty

AI adoption, tightening privacy regulations and geopolitical tensions are driving demand for sovereign cloud services. Organizations will be increasingly required to protect data, infrastructure and critical workloads from control by external jurisdictions and foreign government access. Gartner predicts over 50% of multinational organizations will have digital sovereign strategies by 2029, up from less than 10% today.

"As organizations proactively align their cloud strategies to address digital sovereignty requirements, there are already a wide range of offerings that will support them," said Rogus. "However, it's important they understand exactly what their requirements are, so they can select the right mix of solutions to safeguard their data and operational integrity."

Trend 6: Sustainability

Cloud providers and users are increasingly sharing responsibility for sustainable IT infrastructure. This is being driven by regulators, investors and public demand for greater alignment between technology investments and environmental goals. As AI workloads demand more energy, organizations are also under pressure to better understand, measure and manage the sustainability implications of emerging cloud technologies.

Gartner research shows the percentage of global organizations prioritizing sustainability as part of procurement will rise to over 50% by 2029. To deliver greater value from cloud investments, organizations must look beyond environmental impact alone and align their sustainability strategies with key business outcomes.

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact:

Trend 1: Cloud Dissatisfaction

Cloud adoption continues to grow, but not all implementations succeed. Gartner predicts 25% of organizations will have experienced significant dissatisfaction with their cloud adoption by 2028, due to unrealistic expectations, suboptimal implementation and/or uncontrolled costs.

To remain competitive, enterprises need a clear cloud strategy and effective execution. Gartner research indicates that those that have successfully addressed upfront strategic focus by 2029 will find their cloud dissatisfaction will decrease.

Trend 2: AI/ML Demand Increases

Demand for AI/ML is set to surge, with hyperscalers positioned at the core of this growth. They will drive a shift in how compute resources are allocated by embedding foundational capabilities into their IT infrastructure, facilitating partnerships with vendors and users, and leveraging real and synthetic data to train AI models. Gartner predicts 50% of cloud compute resources will be devoted to AI workloads by 2029, up from less than 10% today.

"This all points to a fivefold increase in AI-related cloud workloads by 2029," said Joe Rogus, Director, Advisory at Gartner. "Now is the time for organizations to assess whether their data centers and cloud strategies are ready to handle this surge in AI & ML demand. In many cases, they might need to bring AI to where the data is to support this growth."

Trend 3: Multicloud and Cross Cloud

Many organizations that have adopted multicloud architecture find connecting to and between providers a challenge. This lack of interoperability between environments can slow cloud adoption, with Gartner predicting more than 50% of organizations will not get the expected results from their multicloud implementations by 2029.

Gartner recommends identifying specific use cases and planning for distributed apps and data in the organization that could benefit from a cross-cloud deployment model. This enables workloads to operate collaboratively across different cloud platforms, as well as different on-premises and colocation facilities.

Trend 4: Industry Solutions

There is an upward trend toward industry-specific cloud platforms, with more vendors offering solutions that address vertical business outcomes and help scale digital initiatives. Over 50% of organizations will use industry cloud platforms to accelerate their business initiatives by 2029, according to Gartner.

Gartner recommends organizations approach industry cloud platforms as a strategic way to add new capabilities to their broader IT portfolio, rather than a total replacement. This allows organizations to avoid technical debt, drive innovation and business value.

Trend 5: Digital Sovereignty

AI adoption, tightening privacy regulations and geopolitical tensions are driving demand for sovereign cloud services. Organizations will be increasingly required to protect data, infrastructure and critical workloads from control by external jurisdictions and foreign government access. Gartner predicts over 50% of multinational organizations will have digital sovereign strategies by 2029, up from less than 10% today.

"As organizations proactively align their cloud strategies to address digital sovereignty requirements, there are already a wide range of offerings that will support them," said Rogus. "However, it's important they understand exactly what their requirements are, so they can select the right mix of solutions to safeguard their data and operational integrity."

Trend 6: Sustainability

Cloud providers and users are increasingly sharing responsibility for sustainable IT infrastructure. This is being driven by regulators, investors and public demand for greater alignment between technology investments and environmental goals. As AI workloads demand more energy, organizations are also under pressure to better understand, measure and manage the sustainability implications of emerging cloud technologies.

Gartner research shows the percentage of global organizations prioritizing sustainability as part of procurement will rise to over 50% by 2029. To deliver greater value from cloud investments, organizations must look beyond environmental impact alone and align their sustainability strategies with key business outcomes.

Hot Topics

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...