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.

Related Links

Hot Topics

The Latest

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Signs It May Be Time to Reassess Your IT Infrastructure Strategy

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Enterprise Edge AI Reaches Inflection Point

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

AI Is Hitting Operational Limits

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Most Enterprises Think They Can Switch AI Vendors in a Month ... Most Who've Tried Couldn't

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

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.

Related Links

Hot Topics

The Latest

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Signs It May Be Time to Reassess Your IT Infrastructure Strategy

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Enterprise Edge AI Reaches Inflection Point

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

AI Is Hitting Operational Limits

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

Alert Fatigue Is No Longer a Morale Problem, It's a Reliability Risk and a System Failure

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

Most Enterprises Think They Can Switch AI Vendors in a Month ... Most Who've Tried Couldn't

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Your Observability Stack Has a Telemetry Pipeline Problem

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

Operator to Orchestrator: 80% of IT Pros See Shift in Role as AI Permeates Workflows

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...