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

Observability Is the New Control Plane for Enterprise Transformation

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

When AI Becomes the Corporate OS

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

The $600 Billion Wake Up Call

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

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 ...

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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

Observability Is the New Control Plane for Enterprise Transformation

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

When AI Becomes the Corporate OS

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

The $600 Billion Wake Up Call

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

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 ...

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

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 ...

AI Deepfakes: Rethinking Trust in the Workplace

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 ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...