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Gartner: 4 Trends Shaping the Future of Public Cloud

Global End-User Spending on Public Cloud Services Expected to Exceed $480 Billion Next Year

Four new trends in cloud computing are continuing to expand the breadth of cloud offerings and capabilities, accelerating growth across all segments in the public cloud services market, according to Gartner, Inc. The four trends are: cloud ubiquity, regional cloud ecosystems, sustainability and carbon-intelligent cloud, and cloud infrastructure and platform service (CIPS) providers' automated programmable infrastructure.

"The economic, organizational and societal impact of the pandemic will continue to serve as a catalyst for digital innovation and adoption of cloud services," said Henrique Cecci, Senior Research Director at Gartner. "This is especially true for use cases such as collaboration, remote work and new digital services to support a hybrid workforce."

1. Cloud Ubiquity

Today, the cloud underpins most new technological disruptions, including composable business, and has proven itself during times of uncertainty with its resiliency, scalability, flexibility and speed. Hybrid, multicloud and edge environments are growing and setting the stage for new distributed cloud models.

In addition, new wireless communications advances, such as 5G R16 and R17, will push cloud adoption to a new level of broader, deeper and ubiquitous usage. Use cases such as enhanced mobile banking experiences and healthcare transformation will also emerge.

As a result, global cloud adoption will continue to expand rapidly. Gartner forecasts end-user spending on public cloud services to reach $396 billion in 2021 and grow 21.7% to reach $482 billion in 2022. Additionally, by 2026, Gartner predicts public cloud spending will exceed 45% of all enterprise IT spending, up from less than 17% in 2021.

"Organizations are advancing their timelines on digital business initiatives and moving rapidly to the cloud in an effort to modernize environments, improve system reliability, support hybrid work models and address other new realities compelled by the pandemic," said Brandon Medford, Senior Principal Analyst at Gartner.

2. Regional Cloud Ecosystems

Growing geopolitical regulatory fragmentation, protectionism and industry compliance are driving the creation of new regional and vertical cloud ecosystems and data services. Companies in the financial and public sectors are looking to reduce critical lock-in and single points of failure with their cloud providers outside of their country.

Regions not able to create or sustain their own platform ecosystems will have no choice but to leverage the platforms created in other regions and resort to legislation and regulation to maintain some level of control and sovereignty. Concerns among politicians, academia and tech providers in these regions are increasing, leading to initiatives such as GAIA-X in European countries.

3. Sustainability and "Carbon-Intelligent" Cloud

Nearly half of the respondents in the 2021 Gartner CEO Survey believe climate change mitigation will have a significant impact on their business. Cloud providers are responding to this growing focus on sustainability by instituting more aggressive carbon-neutral corporate goals, which creates new challenges for infrastructure and operations (I&O) leaders.

"New sustainability requirements will be mandated over the next few years and the choice of cloud services providers may hinge on the provider's 'green' initiatives," said Cecci.

4. CIPS Providers' Automated Programmable Infrastructure

Gartner expects the broad adoption of fully managed and artificial intelligence (AI)-/machine-learning (ML)-enabled cloud services from hyperscale CIPS providers. This will rapidly eliminate the operational burden of traditional I&O roles in the public cloud.

"Infrastructure is becoming programmable, and its operation is subsequently becoming automated," said Cecci. "Modern IT infrastructure, whether deployed in the data center or consumed in the public cloud, requires less manual intervention and routine administration than its legacy equivalents."

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Gartner: 4 Trends Shaping the Future of Public Cloud

Global End-User Spending on Public Cloud Services Expected to Exceed $480 Billion Next Year

Four new trends in cloud computing are continuing to expand the breadth of cloud offerings and capabilities, accelerating growth across all segments in the public cloud services market, according to Gartner, Inc. The four trends are: cloud ubiquity, regional cloud ecosystems, sustainability and carbon-intelligent cloud, and cloud infrastructure and platform service (CIPS) providers' automated programmable infrastructure.

"The economic, organizational and societal impact of the pandemic will continue to serve as a catalyst for digital innovation and adoption of cloud services," said Henrique Cecci, Senior Research Director at Gartner. "This is especially true for use cases such as collaboration, remote work and new digital services to support a hybrid workforce."

1. Cloud Ubiquity

Today, the cloud underpins most new technological disruptions, including composable business, and has proven itself during times of uncertainty with its resiliency, scalability, flexibility and speed. Hybrid, multicloud and edge environments are growing and setting the stage for new distributed cloud models.

In addition, new wireless communications advances, such as 5G R16 and R17, will push cloud adoption to a new level of broader, deeper and ubiquitous usage. Use cases such as enhanced mobile banking experiences and healthcare transformation will also emerge.

As a result, global cloud adoption will continue to expand rapidly. Gartner forecasts end-user spending on public cloud services to reach $396 billion in 2021 and grow 21.7% to reach $482 billion in 2022. Additionally, by 2026, Gartner predicts public cloud spending will exceed 45% of all enterprise IT spending, up from less than 17% in 2021.

"Organizations are advancing their timelines on digital business initiatives and moving rapidly to the cloud in an effort to modernize environments, improve system reliability, support hybrid work models and address other new realities compelled by the pandemic," said Brandon Medford, Senior Principal Analyst at Gartner.

2. Regional Cloud Ecosystems

Growing geopolitical regulatory fragmentation, protectionism and industry compliance are driving the creation of new regional and vertical cloud ecosystems and data services. Companies in the financial and public sectors are looking to reduce critical lock-in and single points of failure with their cloud providers outside of their country.

Regions not able to create or sustain their own platform ecosystems will have no choice but to leverage the platforms created in other regions and resort to legislation and regulation to maintain some level of control and sovereignty. Concerns among politicians, academia and tech providers in these regions are increasing, leading to initiatives such as GAIA-X in European countries.

3. Sustainability and "Carbon-Intelligent" Cloud

Nearly half of the respondents in the 2021 Gartner CEO Survey believe climate change mitigation will have a significant impact on their business. Cloud providers are responding to this growing focus on sustainability by instituting more aggressive carbon-neutral corporate goals, which creates new challenges for infrastructure and operations (I&O) leaders.

"New sustainability requirements will be mandated over the next few years and the choice of cloud services providers may hinge on the provider's 'green' initiatives," said Cecci.

4. CIPS Providers' Automated Programmable Infrastructure

Gartner expects the broad adoption of fully managed and artificial intelligence (AI)-/machine-learning (ML)-enabled cloud services from hyperscale CIPS providers. This will rapidly eliminate the operational burden of traditional I&O roles in the public cloud.

"Infrastructure is becoming programmable, and its operation is subsequently becoming automated," said Cecci. "Modern IT infrastructure, whether deployed in the data center or consumed in the public cloud, requires less manual intervention and routine administration than its legacy equivalents."

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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 ...

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 ...

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 ...

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 ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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

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 ...