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For over a decade, “virtualization-first” was the default strategy for enterprise infrastructure. New workloads went onto virtual machines. Physical servers require special justification. The formula was simple, proven, and widely adopted.
The era is ending.
Today, more than two-thirds of enterprises are planning material changes to their virtualization strategy within the next two years, yet 5% say they are fully ready for the transition. The virtualization market is at a structural inflection point, driven not just by licensing cost shocks but by AI readiness, hybrid cloud complexity, and escalating operating demands.
This article explains what virtualization-first infrastructure means, traces its origins, examines why it is no longer the default answer, and provides a practical framework for building a future-ready virtualization strategy.
Virtualization-first infrastructure is an IT strategy in which server virtualization serves as the default deployment model for all new workloads. While physical servers are provisioned only when specific technical requirements, such as direct hardware access, extreme real-time performance, or specialized compliance needs.
The principles of a virtualization-first approach include:
This approach delivered enormous benefits: server consolidation, reduced hardware costs, improved utilization, faster provisioning, and the ability to snapshot, clone, and migrate workloads with ease.
Affected by the global economic crisis of 2008, virtualization-first had widely adopted by organizations across the world. In a report published April 28, 2010, International Data Corporation (IDC) analysts revealed that 18.2% of all servers shipped in the quarter of 2009 were virtualized, up from 15.2% in the same period of 2008. Virtualization licenses increased 13% year over year.
IDC analyst Brett Waldman observed: “Virtualization is no longer the cool, unproven technology that people are looking into for quick cost savings. It has matured into an integral piece of the IT infrastructure.”
Matt Eastwood, group vice president of Enterprise Platforms at IDC, added: “The recovery in server spending is being led by x86 systems where virtualization continues to remain a top priority. Customers are quickly moving beyond the core hypervisor and focusing on mobility, self-provisioning, and metering and chargeback capabilities.”
Perhaps most significantly, IDC analyst Michelle Bailey warned: “Virtual server sprawl is already a reality for many IT organizations and we expect that 2010 will be a tipping point in the adoption of new management tools and IT policies.”
Despite the strong fourth-quarter numbers, the virtualization market—like most others in the industry—was hit hard by the recession. New server shipments virtualized during the whole of 2009 fell 5% , and virtualized server end-user spending for the year declined 14% . Virtualization software revenue fell 10% in the fourth quarter, and for the entire year, virtualization licenses fell 7% .
Hewlett-Packard led the market with 38% share of virtualized server shipments, followed by Dell (26%) and IBM (16%). VMware’s ESX was the top virtualization platform, with total licenses increasing 19% in the quarter, followed by VMware Server, Microsoft’s Hyper-V, Virtual Server, and Citrix XenServer.
The trend was confirmed by multiple contemporaneous sources. A CDW Server Virtualization Life Cycle Report published in January 2010—based on a survey of 387 IT executives in organizations with 100 or more employees—found that 89% of companies employed a “virtualization first” strategy, defined as “a requirement that network users prove a new software application does not work in a virtual environment before the company will buy a dedicated server to support it.”
Forrester Research, through more than 200 enterprise interviews correlated with survey data, identified four clear stages of infrastructure virtualization maturity. The second stage—moving from experimentation to a strategy of consolidation—was “most easily identified when an organisation shifts its default deployment mindset from server to virtual server, also known as a ‘virtual first’ policy.”
Government agencies also formalized this approach. A CDW-G survey found that 77% of federal, state, and local agencies were implementing at least one form of virtualization. In 2010, the State of California enacted a “virtualization first” policy as part of a broader IT consolidation push.
IDC further predicted in December 2010 that by 2014, more than 70% of all server workloads would run on virtual machines, and that 2010 would be “the first year when more than half of all installed application instances will run inside a virtual machine.”
Over the following decade, virtualization evolved from an emerging technology into the backbone of enterprise IT. Virtual machines became the standard deployment unit for general-purpose workloads, offering benefits such as logical isolation, resource pooling, snapshotting, and live migration.
Virtualization served as the foundation for private cloud and hybrid cloud strategies, enabling organizations to improve agility, scalability, and automation. By 2016, most enterprises relied on a virtualization-first approach, with data centers predominantly designed around virtualized solutions.
The server virtualization discussion had shifted from whether it could succeed as a strategy to how to best deploy it across an organization’s architecture. VMware, in particular, became the dominant platform, with an estimated more than 500,000 customers worldwide relying on its virtualization software prior to the Broadcom acquisition
1. Broadcom’s Acquisition
The virtualization landscape entered a period of significant disruption in late 2023. In November 2023, **Broadcom completed its $69 billion acquisition of VMware**—paying $61 billion in cash and stock and assuming $8 billion of VMware’s debt—making it one of the largest technology acquisitions in history. Subsequently, on December 11, 2023, Broadcom discontinued all VMware perpetual license sales, transitioning entirely to subscription-based pricing.
The impact was substantial. Some customers reported renewal price increases of 300% or more after the takeover. Gartner noted that under the new licensing model, “the costs and pricing can increase two or three times”.
Gartner identified “devirtualization”—the migration of workloads from hypervisor-based virtualized hosts to physical hosts—as an emerging trend in data centers. Gartner’s 2024 Hype Cycle for Data Center Infrastructure Technologies rated devirtualization as currently applicable to approximately 1% of organizations, but projected it would take five to ten years to reach widespread adoption. The firm also identified “revirtualization”—migrating to alternative hypervisors—as applicable to between 5% and 20% of organizations.
Gartner analysts observed: “The recent license changes for certain vendor-based solutions have forced many I&O teams to re-evaluate their virtualization choices with some moving more to public cloud, some turning to distributed cloud and some moving to private cloud”.
Most significantly, Gartner forecasts that by 2028, cost pressures will drive 70% of enterprise VMware customers worldwide to migrate at least 50% of their virtual workloads to alternative platforms. Gartner also emphasizes that “there is no longer a single, monolithic solution capable of fully replacing VMware”—the market has instead matured into a diverse ecosystem where public cloud services, hyper-converged infrastructure, open-source virtualization, and modern private clouds coexist. Gartner further noted that “the server virtualization market is undergoing the most significant disruption in decades, as Broadcom’s acquisition of VMware has reshaped the competitive landscape”.
2. The development of Containers and Kubernetes
Containerization and Kubernetes have risen to prominence alongside traditional virtualization technologies and, in certain scenarios, are increasingly viewed as a competing approach. By offering greater efficiency, scalability, and agility, container technologies have become a powerful complement to virtual machines, enabling organizations to build and operate modern cloud-native applications more efficiently.
The industry is moving past the either-or choice between VMs and containers. Instead, both are increasingly deployed together on unified infrastructure, with platforms like Red Hat OpenShift offering a single control plane to manage them side by side.
3. AI Workload are Reshaping Infrastructure Requirements
AI workloads have fundamentally different infrastructure needs than traditional enterprise applications. GPU acceleration, high-performance storage, and dynamic scaling requirements are pushing the limits of legacy virtualization platforms.
More than a quarter of IT decision-makers now rank AI readiness as a top priority when shaping future virtualization and private cloud strategies. The urgency, as HPE’s research shows, is less about cost and more about transformation to a hybrid operating model and AI readiness.
Enterprises overwhelmingly see advanced AIOps as essential to modern virtualization strategy. When shaping future virtualization strategies, enterprises identified unified backup and cyber-recovery (70%) , cross-platform governance (61%) , and integrated observability and AIOps (55%) as very important or business critical.
4. Security Threats Have Escalated
The hypervisor layer is no longer the safe, trusted foundation it once was. In February 2023, the ESXiArgs ransomware campaign compromised over 3,800 servers globally, encrypting configuration files on vulnerable VMware ESXi virtual machines and potentially rendering them unusable. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) and FBI issued a joint advisory warning organizations managing VMware ESXi servers.
The threat has only intensified. Security researchers have noted that the hypervisor layer now requires the same level of security attention as endpoints and network perimeters.
1. Virtualization-Smart Approach
MIT Sloan Management Review reports that organizations are moving from a “virtualization-first” mindset to a “virtualization-smart” approach: choosing infrastructure models based on resilience, sovereignty, workload requirements, and business outcomes rather than relying on a single default strategy.
The shift is fundamental: instead of asking “Can this workload run on a VM?”, organizations now ask “What is the best infrastructure model for this workload—VM, container, bare metal, or serverless?”
As MIT Sloan’s analysis notes, “Different organizations face different requirements around data sovereignty, compliance, resilience, and customer experience. A healthcare provider, for example, will make infrastructure decisions very differently from a retail company”.
2. Hybrid Cloud Emerges as the Preferred Path
57% of enterprises are taking a phased approach to future-proof their IT, with hybrid cloud emerging as the preferred path forward to support AI performance demands.
Today’s infrastructure landscape is inherently hybrid:
Hybrid and multi-cloud architectures are increasingly viewed as essential for avoiding vendor lock-in, improving business continuity, and enabling workloads to move seamlessly across environments.
3. VM and Container Convergence
Leading platforms such as Red Hat OpenShift allow VMs and containers to run side-by-side on a unified infrastructure. Organizations are moving toward a single control plane that manages both virtual machines and containerized workloads.
4. AI-Ready Infrastructure Requires More Than GPUs
AI readiness depends on data readiness. Without robust data classification, governance, and management frameworks, organizations will struggle to unlock AI’s value. Infrastructure investments are increasingly evaluated based on their ability to ensure continuity, availability, and customer experience rather than solely on cost savings.
This means investing in:
As virtualization continues to evolve, enterprises need to move beyond traditional infrastructure decisions and develop a long-term strategy that balances flexibility, resilience, operational efficiency, and future technology requirements. The goal is not simply to replace one virtualization platform with another, but to build an adaptable infrastructure foundation capable of supporting emerging workloads, including cloud-native applications and AI-driven workloads.
The first step toward a future-ready virtualization strategy is gaining a clear understanding of your current environment. Enterprises should conduct a comprehensive assessment of their workloads, costs, and future requirements.
Start by answering several key questions:
The most important question to consider is:
Are you optimizing your infrastructure for today’s requirements, or are you preparing for the infrastructure capabilities your organization will need over the next two to three years?
A successful virtualization strategy should not only address current operational needs but also create a foundation for future innovation.
The Broadcom–VMware transition has highlighted the risks associated with excessive dependency on a single infrastructure vendor. While VMware remains a significant player in enterprise virtualization, organizations are increasingly exploring alternative platforms to improve flexibility and reduce vendor lock-in.
Potential alternatives and complementary solutions include:
As Gartner has emphasized, the market is no longer centered around a single, monolithic virtualization platform capable of replacing VMware in every scenario. Instead, enterprise infrastructure is evolving into a more diverse ecosystem where public cloud services, Hyper-Converged Infrastructure (HCI), open-source virtualization, and modern private cloud platforms coexist.
Rather than seeking a one-to-one replacement, enterprises should evaluate which combination of platforms best fits their workload requirements, operational capabilities, and long-term business objectives.
Large-scale infrastructure transformation requires careful planning. According to industry research, 57% of enterprises are already adopting a phased approach to IT modernization, demonstrating that gradual transformation is often more practical and sustainable than immediate replacement.
A structured migration roadmap typically includes four phases:
Modern virtualization environments require more than just infrastructure management—they require intelligent operational capabilities that enable organizations to monitor, protect, and optimize workloads across increasingly complex environments.
Key capabilities enterprises should prioritize include:
The objective of modern virtualization is no longer simply keeping workloads running. Organizations must also gain deeper visibility into workload performance, strengthen cyber resilience, and automate infrastructure management across hybrid and multi-platform environments.
Although many organizations are still in the early stages of AI adoption, AI readiness should already be a core consideration in infrastructure planning.
Future-ready virtualization environments should prepare for AI-driven workloads by:
More than a quarter of IT decision-makers have already identified AI readiness as a top infrastructure priority. Organizations that delay preparation may face increasing challenges as AI workloads become more widespread and infrastructure requirements become more demanding.
A future-ready virtualization strategy is not only about supporting today’s applications—it is about creating an adaptable foundation capable of powering the next generation of cloud, automation, and AI-driven innovation.
Virtualization remains a fundamental pillar of enterprise IT, and its role is far from over.
However, the era of treating “virtualization-first” as a default strategy for every workload is coming to an end.
The future belongs to “virtualization-smart” strategies—where organizations take a workload-driven approach and select the most suitable infrastructure model based on performance needs, cost considerations, security requirements, and business objectives. As MIT Sloan Management Review notes, virtualization is “not disappearing — it is evolving.”
Organizations that succeed in this new era will:
The virtualization market has reached a critical transition point. The key question is no longer whether organizations should adapt, but how quickly and strategically they can do so.
Those that begin planning today will be better positioned to lead the next phase of enterprise infrastructure evolution; those that delay may find themselves struggling to catch up.
