Skip to main content

IDC FutureScape: Top 10 Predictions for the Future of Digital Infrastructure

International Data Corporation's (IDC) top 10 predictions for the Future of Digital Infrastructure point to a digital infrastructure strategy that addresses resiliency and trust; data-driven operational complexity; and business outcomes-driven sourcing and autonomous operations.

Organizations must invest in and foster a digital-first culture that leverages trusted industry ecosystems, generates profitable revenue growth, provides empathetic customer experiences, and demonstrates an ability to adapt operating models to complex customer requirements.

In the coming years, organizations will deploy, operate, and scale digital infrastructure to ensure consistent security, performance, and compliance across all resources, regardless of where and how they are deployed. These organizations will invest in more intelligent, autonomous operations and take advantage of flexible consumption and strategic vendor partnerships to promote agility and ensure that the business, and its digital infrastructure, can continue to perform in the face of a wide range of unexpected scenarios – social, geopolitical, economic, climate, or business related.

"Digital infrastructure spans compute, storage, network, and infrastructure software, including virtualization and containers, and the automation, AI/ML analytics, and security software and cloud services needed to maintain and optimize both legacy and modern applications and data," explained Mary Johnston Turner, Research VP, Future of Digital Infrastructure. "IDC's 2022 predictions for the future of digital infrastructure identify critical shifts in governance, operations, architecture, and sourcing that need to be factored into enterprise digital transformation strategies going forward."

The top 10 predictions from the Worldwide Future of Digital Infrastructure 2022 report are:

Prediction 1

By 2023, G2000 leaders will prioritize business objectives over infrastructure choice, deploying 50% of new strategic workloads using vendor-specific APIs that add value but reduce workload portability.

Prediction 2

In 2023, over 80% of the G2000 will cite business resiliency to drive verifiable infrastructure supply chain integrity as a mandatory and non-negotiable vendor evaluation criterion.

Prediction 3

By 2023, most C-suite leaders will implement business critical KPIs tied to data availability, recovery, and stewardship as rising levels of cyber-attacks expose the scale of data at risk.

Prediction 4

By 2024, 75% of G2000 digital infrastructure RFPs will require vendors to prove progress on ESG/Sustainability initiatives with data, as CIOs rely on infrastructure vendors to help meet ESG goals.

Prediction 5

By 2024, due to an explosion of edge data, 65% of the G2000 will embed edge-first data stewardship, security, and network practices into data protection plans to integrate edge data into relevant processes.

Prediction 6

By 2025, a 6x explosion in high dependency workloads leads to 65% of G2000 firms using consistent architectural governance frameworks to ensure compliance reporting and audit of their infrastructure.

Prediction 7

By 2025, 60% of enterprises will fund LOB and IT projects through OPEX budgets, matching how vendors provide their services with a focus on outcomes that are determined by SLAs and KPIs.

Prediction 8

By 2025, 70% of companies will invest in alternative computing technologies to drive business differentiation by compressing time to value of insights from complex data sets.

Prediction 9

By 2026, 90% of G2000 CIOs will use AIOps solutions to drive automated remediation and workload placement decisions that include cost and performance metrics, improving resiliency and agility.

Prediction 10

By 2026, mid-market companies will shift 65% of infrastructure spending from traditional channels towards more app-centric trusted advisors.

The Latest

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

IDC FutureScape: Top 10 Predictions for the Future of Digital Infrastructure

International Data Corporation's (IDC) top 10 predictions for the Future of Digital Infrastructure point to a digital infrastructure strategy that addresses resiliency and trust; data-driven operational complexity; and business outcomes-driven sourcing and autonomous operations.

Organizations must invest in and foster a digital-first culture that leverages trusted industry ecosystems, generates profitable revenue growth, provides empathetic customer experiences, and demonstrates an ability to adapt operating models to complex customer requirements.

In the coming years, organizations will deploy, operate, and scale digital infrastructure to ensure consistent security, performance, and compliance across all resources, regardless of where and how they are deployed. These organizations will invest in more intelligent, autonomous operations and take advantage of flexible consumption and strategic vendor partnerships to promote agility and ensure that the business, and its digital infrastructure, can continue to perform in the face of a wide range of unexpected scenarios – social, geopolitical, economic, climate, or business related.

"Digital infrastructure spans compute, storage, network, and infrastructure software, including virtualization and containers, and the automation, AI/ML analytics, and security software and cloud services needed to maintain and optimize both legacy and modern applications and data," explained Mary Johnston Turner, Research VP, Future of Digital Infrastructure. "IDC's 2022 predictions for the future of digital infrastructure identify critical shifts in governance, operations, architecture, and sourcing that need to be factored into enterprise digital transformation strategies going forward."

The top 10 predictions from the Worldwide Future of Digital Infrastructure 2022 report are:

Prediction 1

By 2023, G2000 leaders will prioritize business objectives over infrastructure choice, deploying 50% of new strategic workloads using vendor-specific APIs that add value but reduce workload portability.

Prediction 2

In 2023, over 80% of the G2000 will cite business resiliency to drive verifiable infrastructure supply chain integrity as a mandatory and non-negotiable vendor evaluation criterion.

Prediction 3

By 2023, most C-suite leaders will implement business critical KPIs tied to data availability, recovery, and stewardship as rising levels of cyber-attacks expose the scale of data at risk.

Prediction 4

By 2024, 75% of G2000 digital infrastructure RFPs will require vendors to prove progress on ESG/Sustainability initiatives with data, as CIOs rely on infrastructure vendors to help meet ESG goals.

Prediction 5

By 2024, due to an explosion of edge data, 65% of the G2000 will embed edge-first data stewardship, security, and network practices into data protection plans to integrate edge data into relevant processes.

Prediction 6

By 2025, a 6x explosion in high dependency workloads leads to 65% of G2000 firms using consistent architectural governance frameworks to ensure compliance reporting and audit of their infrastructure.

Prediction 7

By 2025, 60% of enterprises will fund LOB and IT projects through OPEX budgets, matching how vendors provide their services with a focus on outcomes that are determined by SLAs and KPIs.

Prediction 8

By 2025, 70% of companies will invest in alternative computing technologies to drive business differentiation by compressing time to value of insights from complex data sets.

Prediction 9

By 2026, 90% of G2000 CIOs will use AIOps solutions to drive automated remediation and workload placement decisions that include cost and performance metrics, improving resiliency and agility.

Prediction 10

By 2026, mid-market companies will shift 65% of infrastructure spending from traditional channels towards more app-centric trusted advisors.

The Latest

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...