IT Infrastructure Migration Market by Deployment Model (Hybrid Cloud, Private Cloud, Public Cloud), Migration Type (Cloud To Cloud, Cloud To On-Premises, On-Premises To Cloud), Service Type, Component, Industry Vertical, Organization Size - Global Forecas

The IT Infrastructure Migration Market was valued at USD 14.12 billion in 2025 and is projected to grow to USD 15.85 billion in 2026, with a CAGR of 12.65%, reaching USD 32.52 billion by 2032.

Infrastructure migration is now a board-level capability decision, reshaping resilience, security posture, and the speed at which enterprises can modernize

IT infrastructure migration has become an executive mandate rather than an IT initiative, driven by compounding pressures across security, resilience, cost transparency, and speed of delivery. Enterprises are modernizing to reduce exposure to aging platforms, address persistent skills gaps, and meet expectations for always-on digital services. At the same time, infrastructure choices now intersect directly with governance and risk, because architecture decisions determine how quickly organizations can isolate threats, recover from disruption, and enforce controls consistently.

In this environment, migration is best understood as a strategic redesign of how compute, storage, networks, and operations are delivered. Traditional lift-and-shift approaches still have a role, but most organizations are combining multiple patterns-rehosting where speed matters, replatforming to unlock automation, and refactoring for workloads that differentiate the business. As a result, leaders increasingly evaluate migration programs not only by completion dates but also by the operating model outcomes they enable, such as standardized tooling, improved observability, and predictable service levels.

This executive summary frames the market context for infrastructure migration decisions, highlighting the forces reshaping vendor offerings, delivery models, sourcing strategies, and risk considerations. It also clarifies where value is being created today: in repeatability, governance, and the ability to modernize without interrupting business operations.

A new migration era is emerging where hybrid governance, automation-first operations, and security-by-design replace destination-only cloud strategies

The infrastructure migration landscape is shifting from destination-led thinking to capability-led transformation. Organizations are moving beyond the question of “which cloud” or “which data center” and focusing on how to build portable, policy-driven platforms that can span environments. This has elevated hybrid and multicloud operating models, with an emphasis on consistent identity, network segmentation, encryption, and workload governance across heterogeneous estates.

Another major shift is the consolidation of tooling into integrated platforms that reduce operational fragmentation. Observability, configuration management, vulnerability management, and incident response are increasingly expected to work together, enabling teams to detect issues earlier and recover faster. This is reinforced by the growing use of infrastructure-as-code and GitOps-style workflows, which bring software engineering discipline to infrastructure changes and reduce configuration drift that often undermines migration outcomes.

Security has also moved from a parallel workstream to a primary design constraint. Zero trust concepts, secure access service edge adoption, and continuous compliance expectations now influence migration sequencing and architecture. In parallel, ransomware preparedness has pushed disaster recovery design, immutable backups, and clean-room recovery strategies into mainstream migration requirements.

Finally, generative AI has begun to influence migration programs in practical ways. While it does not replace engineering rigor, it is being applied to documentation, application and dependency discovery, code and configuration summarization, and operational runbooks. This reduces the friction of knowledge transfer and helps teams navigate complex legacy environments, especially where institutional knowledge is fragmented.

United States tariff dynamics expected in 2025 are reshaping migration budgets, hardware refresh timing, and sourcing strategies across the supply chain

United States tariff actions anticipated for 2025 have introduced fresh complexity into infrastructure migration economics, particularly for hardware-centric components of modernization. Even when the end-state includes greater use of cloud services, many migration programs still require transitional capacity, edge refreshes, network upgrades, and security appliances. As tariffs raise acquisition costs or create price volatility for specific categories of imported components, organizations face greater uncertainty in timing purchases and locking vendor quotes.

This tariff environment also affects supply chain predictability. Longer lead times for networking equipment, servers, storage arrays, and specialized accelerators can disrupt migration sequencing, especially for programs that depend on parallel run operations or require temporary capacity to de-risk cutovers. Consequently, enterprises are reevaluating migration roadmaps to reduce hardware dependency where feasible, shifting some workloads to managed services, colocation, or cloud-based disaster recovery while postponing certain on-prem refreshes.

Vendor negotiations and contract structures are changing as a result. Procurement teams are pushing for price protection clauses, alternate sourcing options, and flexible delivery schedules. Meanwhile, service providers are adapting by diversifying suppliers, pre-staging inventory for critical projects, and recommending architectural choices that reduce single-vendor exposure. In addition, tariffs can influence the total delivered cost of security and networking modernization, prompting leaders to prioritize designs that consolidate functions, improve utilization, and simplify lifecycle management.

Overall, the cumulative impact is a stronger executive emphasis on scenario planning. Successful programs are quantifying tariff sensitivity at the workload and dependency level, identifying which migration waves are exposed to hardware volatility, and building contingencies that preserve timelines without compromising security or resilience.

Segmentation reveals migration success depends on aligning service models, deployment patterns, organization scale, vertical constraints, and workload criticality

Segmentation across service type, deployment model, organization size, vertical, workload category, and migration approach reveals a market that is increasingly tailored to specific enterprise constraints rather than standardized playbooks. Advisory and assessment work remains foundational, yet it is no longer limited to application inventories; it now extends to identity architecture, network segmentation, compliance mapping, and operational readiness so that migration does not outpace governance. Implementation services are also evolving, with providers emphasizing repeatable factories for rehosting and replatforming while reserving specialized engineering for refactoring and platform modernization.

Deployment model choices are becoming more nuanced. Public cloud adoption continues to expand, but many enterprises are formalizing hybrid estates where latency, sovereignty, and legacy dependencies persist. Multicloud is often driven by risk management and commercial leverage, but it introduces complexity that only pays off when platform standards are enforced across environments. As a result, platform engineering is emerging as a decisive differentiator, enabling consistent tooling, policy enforcement, and workload onboarding regardless of the underlying infrastructure.

Organization size shapes migration behavior in distinct ways. Large enterprises typically run multi-year portfolios, balancing quick wins with foundational platform changes, and they invest in governance to manage cross-business variability. Mid-sized organizations often prioritize speed and operational simplicity, favoring managed services and standardized reference architectures that reduce the burden on lean teams. Across both, vertical requirements are increasingly influential, especially where auditability, resilience, and data handling rules impose non-negotiable controls that determine migration sequencing.

Workload category also drives divergent outcomes. Customer-facing digital services and analytics platforms are frequently prioritized because they benefit most from elasticity and modern tooling. Conversely, tightly coupled legacy systems and specialized operational technology environments require a more conservative approach, including dependency isolation, careful performance testing, and staged modernization. Migration approach selection-rehost, replatform, refactor, retire, or retain-is therefore less ideological and more situational, determined by risk tolerance, business criticality, and the readiness of teams to operate the target platform.

Regional migration priorities diverge across the Americas, EMEA, and Asia-Pacific as regulation, resilience needs, and digital growth rates reshape architecture choices

Regional dynamics show that infrastructure migration strategies are shaped as much by regulation, connectivity, and talent availability as by technology preference. In the Americas, migration programs often emphasize modernization speed, cybersecurity resilience, and large-scale standardization across distributed enterprises. Decision-making frequently balances public cloud acceleration with the realities of legacy estates and the need for robust disaster recovery, especially for organizations operating critical services.

In Europe, the Middle East, and Africa, compliance and data handling requirements strongly influence architecture. Data residency expectations, sector-specific oversight, and cross-border operating models push many organizations toward hybrid patterns with clear governance, encryption standards, and auditable controls. Service providers in this region often differentiate through compliance-ready delivery, strong partner ecosystems, and operational transparency that supports external audits.

In Asia-Pacific, rapid digital expansion and diverse market maturity create a broad range of migration priorities. Some markets focus on cloud-native growth and scalable platforms, while others emphasize modernization that accommodates connectivity variability, sovereign considerations, and talent constraints. As a result, successful approaches frequently blend standardized landing zones with localized execution, ensuring consistent security and governance while adapting to country-level operational realities.

Across all regions, leaders are moving toward architectures that reduce lock-in risk and improve portability. However, the practical path differs: regulatory pressure, supplier availability, and the pace of digital demand determine whether organizations prioritize platform governance first or pursue speed with incremental standardization.

Competitive differentiation is shifting toward integrated migration-plus-operations offerings, automation depth, and industry-ready governance that reduces delivery risk

Company strategies in the infrastructure migration ecosystem reflect a convergence of consulting, engineering, and managed operations into unified transformation offerings. Large cloud and platform providers are expanding their migration toolchains and partner programs to accelerate onboarding, while systems integrators differentiate through industry-specific blueprints, governance frameworks, and the ability to modernize complex estates without disrupting critical operations.

Specialist migration and modernization firms increasingly focus on repeatable automation, particularly for discovery, dependency mapping, and factory-based execution. Their value proposition often centers on reducing uncertainty in legacy environments, standardizing the cutover process, and embedding operational readiness so that teams can sustain the target state. Meanwhile, managed service providers are positioning migration as the entry point to long-term operational stewardship, bundling monitoring, patching, security operations integration, and service management alignment.

Infrastructure and networking vendors are also adapting as enterprises modernize connectivity and security along with compute. As software-defined networking, secure access models, and identity-driven segmentation become common requirements, these providers increasingly emphasize integration and policy consistency rather than standalone hardware performance. Across the competitive landscape, credibility is built by demonstrating proven migration patterns, clear governance models, and transparent delivery metrics that align with executive risk tolerance.

Leaders can de-risk migration by enforcing governance, balancing quick wins with legacy remediation, strengthening sourcing, and operationalizing security from day one

Industry leaders can increase migration success by treating the program as an enterprise operating model change, not a one-time technical move. Establish a governance structure that clarifies decision rights for architecture standards, security exceptions, and workload prioritization. When those decisions are centralized and enforced through templates and policy-as-code, teams can move faster without repeating debates for every application.

Next, build a migration portfolio that explicitly balances speed, risk, and modernization depth. Prioritize workloads where measurable outcomes are clear, such as improved resiliency, faster release cycles, or reduced operational toil, and then use those wins to fund platform improvements. At the same time, create a dedicated path for complex legacy systems that require deeper dependency remediation, ensuring they do not stall the overall program.

Leaders should also harden financial and sourcing practices in response to price volatility and supply constraints. Align procurement timelines with migration waves, negotiate flexibility in delivery and pricing, and reduce hardware dependency by adopting managed services where operationally sound. Additionally, embed security and recovery requirements into every migration design, including segmented networks, strong identity controls, immutable backups, and tested recovery runbooks.

Finally, invest in enablement and operational readiness early. Establish platform engineering capabilities, standardize observability, and train teams on incident response in the target environment. When operational teams participate from design through cutover, organizations reduce post-migration instability and achieve the reliability benefits that executives expect.

A triangulated methodology combining executive interviews, technical validation, and structured secondary analysis links migration decisions to operational outcomes and risk controls

The research methodology blends primary and secondary techniques to capture how infrastructure migration decisions are being made and delivered across enterprise environments. Primary inputs include structured interviews with stakeholders across IT leadership, security, infrastructure operations, application owners, and service providers, designed to validate decision criteria, delivery challenges, and evolving best practices. These conversations are complemented by expert consultations focused on architecture patterns, compliance expectations, and operational models.

Secondary research synthesizes public documentation such as vendor solution materials, product releases, technical white papers, standards publications, regulatory guidance, and financial disclosures to understand capability roadmaps and go-to-market shifts. The analysis also reviews case studies and implementation narratives to identify repeatable patterns in discovery, cutover planning, operational transition, and governance.

To ensure consistency, findings are triangulated across multiple sources and mapped into a structured framework that connects drivers, constraints, and outcomes. Qualitative insights are normalized using common definitions for migration approaches and deployment models, reducing ambiguity when comparing strategies across industries and regions. The result is an evidence-based view of how the market is evolving, emphasizing practical implications for executive decision-making rather than theoretical architectures.

Migration leaders will win by prioritizing durable operating models, security-first architecture, and adaptive portfolio planning amid rising external constraints

IT infrastructure migration has entered a phase where success is defined by durability-repeatable delivery, enforceable governance, and operational excellence-rather than by reaching a single destination. The market is responding with more integrated offerings that combine assessment, execution, security alignment, and managed operations, reflecting enterprise demand for predictable outcomes in complex environments.

At the same time, external pressures are intensifying. Security threats continue to elevate recovery readiness, regulatory expectations shape architectural choices, and tariff-driven cost volatility influences sourcing and refresh timing. These forces make it essential for leaders to plan migrations as adaptive portfolios, with scenario-based contingencies and clear standards that reduce fragmentation.

Organizations that align platform engineering, security-by-design, and disciplined operating models are positioned to modernize faster and sustain the benefits after cutover. By treating migration as a strategic capability, executives can convert today’s constraints into long-term resilience, agility, and control.

Note: PDF & Excel + Online Access - 1 Year Show more