Cloud Storage Migration Market by Cloud Type (Iaas, Paas, Saas), Migration Approach (Refactor, Rehost, Replatform), Organization Size, Deployment Type, Application, End Use Industry - Global Forecast 2026-2032
Description
The Cloud Storage Migration Market was valued at USD 7.50 billion in 2025 and is projected to grow to USD 8.29 billion in 2026, with a CAGR of 11.80%, reaching USD 16.38 billion by 2032.
Establishing the strategic context for cloud storage migration to align business goals, risk tolerance, and operational readiness for digital transformation
Cloud storage migration has evolved from a tactical IT initiative into a strategic business transformation imperative. Organizations now view data mobility and storage strategy as core to competitive differentiation, operational resilience, and regulatory compliance. Advances in orchestration, data management, and edge computing have broadened the set of practical options, while evolving threat vectors and compliance regimes have raised the stakes for governance and security. Consequently, executives and technical leaders must balance speed with control, cost with capability, and innovation with continuity.
This introduction frames the critical decision factors that influence migration outcomes, including technical constraints, organizational capabilities, and external pressures. It outlines why a disciplined migration strategy matters today: to preserve data integrity during transition, to protect sensitive information against increasingly sophisticated threats, and to position infrastructure to support new workloads. By clarifying the interplay between business objectives and engineering trade-offs, this section prepares readers to evaluate subsequent, more detailed analysis and to define priorities that align with both near-term operational needs and longer-term strategic ambitions.
Identifying transformative shifts reshaping cloud storage migration including technological advances, organizational behaviors, regulatory dynamics, and ecosystem partnerships
The landscape for cloud storage migration is undergoing several simultaneous, transformative shifts that are redefining how organizations plan and execute projects. Technologically, the maturation of multi-cloud orchestration, containerized workloads, and advanced data-layer services reduces the friction of moving stateful storage while increasing the options available to architects. At the same time, cybersecurity frameworks and zero-trust architectures are reshaping migration sequencing and design, elevating identity and data protection as central migration concerns.
Organizational behavior is changing in lockstep: finance and procurement functions now play a more active role in cloud decisions, applying unit economics, consumption models, and governance guardrails to what were once purely technical choices. Vendor ecosystems are also evolving; hyperscalers, systems integrators, and niche specialists are forging partnerships and product integrations that accelerate lift-and-shift and refactor pathways alike. Together, these shifts create both opportunity and complexity, requiring a structured approach that aligns architectural choices with commercial terms and risk tolerances.
Assessing the cumulative impact of United States tariff actions in 2025 on cloud storage migration decisions, supply chains, procurement strategies, and vendor economics
Tariff policy and trade dynamics can have material effects on the economics and timing of cloud storage migrations, especially when they influence the cost and availability of hardware and related services. In the context of tariff actions originating from the United States in 2025, organizations may confront cumulative impacts through higher procurement costs for on-premises infrastructure components such as storage arrays, servers, and networking gear. These cost pressures can change the calculus for organizations that were considering hybrid or private deployments by increasing upfront capital expenditures relative to public cloud consumption models.
Beyond direct hardware pricing, tariffs can ripple into supply chain lead times and vendor pricing constructs. Extended delivery windows for imported components can prompt data center build delays, forcing teams to reconsider phased migration approaches or to rely more heavily on cloud-based interim storage. In response, some organizations will intensify negotiations with suppliers to secure price protection clauses and flexible delivery terms or pivot toward vendors with localized manufacturing footprints. Additionally, the interplay between tariffs and contractual commitments from cloud providers influences procurement strategies: firms may prefer consumption-centric models that shift risk away from capital procurement and toward operational spending.
Strategically, tariffs can accelerate decisions that previously rested on narrow cost comparisons. They incentivize architecture teams to evaluate migration approaches that minimize physical hardware dependencies and favor software-defined storage and managed services. At the same time, regulatory and compliance obligations remain determinative; organizations constrained by data residency or sovereignty requirements may find their options constrained, requiring careful planning to balance compliance, cost, and performance in light of tariff-induced pricing dynamics. Ultimately, leaders should treat tariff changes as a variable in scenario planning, updating procurement, inventory management, and vendor engagement strategies to maintain momentum while mitigating supply-side risk.
Delivering actionable segmentation insights to guide migration pathways across cloud types, deployment models, migration approaches, applications, industries, and enterprise scale
Segmentation offers practical lenses for aligning migration tactics with business objectives, technical constraints, and operational realities. When considering cloud type, IaaS, PaaS, and SaaS each imply distinct migration patterns: IaaS typically supports lift-and-shift migrations with a focus on infrastructure parity, PaaS encourages refactoring to embrace platform services and reduce operational burden, and SaaS often requires data extraction, transformation, and integration work to achieve functional parity. Deployment type-Hybrid, Private, and Public-further constrains design choices, because hybrid models demand robust connectivity and consistent policy enforcement across environments, private deployments prioritize control and customization, and public clouds emphasize elasticity and managed services.
Migration approach shapes timelines and resource allocation: Refactor work requires deeper application changes and higher upfront engineering effort but can deliver longer-term operational efficiencies, Rehost offers speed to move legacy workloads with minimal code changes, Replatform strikes a middle ground by leveraging managed services, and Repurchase may replace on-premises platforms with SaaS alternatives that change integration and licensing dynamics. Application type influences priorities and risk tolerance; Archives and Backup And Recovery demand integrity and cost efficiency, Collaboration and File Sharing emphasize latency and user experience, and Disaster Recovery requires deterministic failover capabilities. End use industry differences create compliance, security, and data sovereignty constraints: BFSI, Government, Healthcare, IT And Telecom, Manufacturing, and Retail each carry unique regulatory and operational demands that shape acceptable architectures and service-level commitments. Finally, organization size matters because Large Enterprise players often maintain legacy estates, complex procurement processes, and enterprise-scale compliance programs, whereas Small And Medium Enterprise organizations prioritize speed, predictable costs, and managed services that reduce the need for in-house expertise. Taken together, these segmentation dimensions guide pragmatic decisions about migration sequencing, vendor selection, and investment priorities, enabling teams to craft architectures that respect both technical needs and business constraints.
Comparing regional dynamics across the Americas, Europe, Middle East & Africa, and Asia-Pacific to inform migration timing, compliance strategies, and partner selection
Regional context exerts strong influence over migration priorities, partner selection, and compliance strategies. In the Americas, organizations often prioritize scale and innovation velocity, leveraging mature hyperscaler footprints and robust managed service ecosystems to accelerate migrations; however, they must also navigate state-level privacy laws and heightening cybersecurity expectations. By contrast, Europe, Middle East & Africa features a more fragmented regulatory environment, where data residency, cross-border transfer rules, and sectoral directives necessitate careful architecture and contractual guardrails, and where local partners with regional compliance expertise play an outsized role in successful deployments.
Asia-Pacific presents its own complexity and opportunity: rapid digitalization across diverse markets drives strong demand for cloud services, yet variations in infrastructure maturity and regulatory expectations mean that migration strategies must be highly localized. In several jurisdictions, national cloud initiatives and incentives encourage domestic capabilities, influencing procurement and partner ecosystems. Across all regions, latency-sensitive workloads, disaster recovery planning, and geopolitical considerations require organizations to incorporate regional resiliency and governance into migration roadmaps, selecting partners and deployment topologies that align with both regulatory obligations and performance requirements.
Key company-level intelligence and competitive dynamics highlighting hyperscalers, cloud integrators, specialized vendors, and strategic partnerships shaping migration outcomes
Competitive dynamics among companies engaged in cloud storage migration reflect a spectrum of capabilities, from global hyperscalers with native data services to systems integrators that combine migration tooling with industry expertise and smaller specialists focused on storage optimization and data protection. Hyperscalers differentiate with deep service portfolios and broad geographic footprints, enabling rapid scale and operational efficiency for many migration scenarios. Systems integrators and independent software vendors add value by orchestrating complex migrations, integrating legacy systems, and providing vertical-specific expertise that addresses regulatory, latency, and workflow concerns.
A growing subset of vendors emphasizes data observability, migration automation, and cost governance tools that reduce operational friction and accelerate cutover windows. Partnerships and channel strategies continue to shape the market, with strategic alliances improving interoperability between orchestration platforms and storage backends. Additionally, the vendor landscape is responding to customer demand for clearer commercial models and stronger performance commitments, prompting more flexible licensing, consumption reports, and SLAs. For procurement and technical teams, this environment favors vendors that can demonstrate repeatable migration playbooks, strong referenceability in relevant industries, and a track record of integrating security and compliance into every migration phase.
Actionable executive recommendations for leaders to accelerate secure, cost-effective cloud storage migration through governance, architecture, procurement, and talent strategies
Leaders can adopt a set of practical, prioritized actions to improve the probability of a successful migration while controlling risk and cost. Start by establishing a clear governance forum that brings together business owners, security and privacy leaders, finance, and engineering so that decisions reflect cross-functional trade-offs and accelerate approvals. Next, define migration goals in business terms-such as recovery objectives, performance targets, or user experience metrics-so architects can translate those goals into concrete design criteria and test plans.
From an operational perspective, invest in automated discovery, dependency mapping, and data classification early in the project to reduce unknowns and inform migration sequencing. Prioritize pilot initiatives that validate critical assumptions for high-risk workloads and allocate capacity to capture lessons learned before broad-scale migration. On vendor strategy, pursue a mix of hyperscaler capabilities for scale and specialized partners for complex integrations and vertical compliance. Finally, build a capacity plan for skills and change management: provide targeted training to operations teams, define runbooks for post-migration support, and prepare stakeholders for new operating models. These steps, taken together, create a repeatable, resilient approach that balances speed and control.
Transparent research methodology describing qualitative interviews, quantitative validation, data triangulation, and quality controls used to ensure robust migration insights
This analysis draws on a structured methodology combining qualitative and quantitative approaches to deliver robust, actionable insights. Primary research included confidential interviews with technical leaders, procurement executives, and solution providers to capture lived experiences, success factors, and common failure modes. These conversations provided grounded perspectives on migration timing, trade-offs among migration approaches, and the practical impacts of supply chain and policy changes.
Secondary research complemented primary inputs through review of publicly available technical documentation, vendor solution briefs, regulatory texts, and industry operational guidance. The analytical process applied data triangulation to reconcile differing perspectives, while scenario analysis helped illuminate how variables such as procurement disruptions or regulatory shifts could influence migration choices. Quality controls included cross-validation of technical claims with practitioner feedback and iterative refinement of segmentation frameworks to ensure that findings remain relevant across deployment types, application classes, and organizational profiles.
Conclusions synthesizing strategic priorities, operational imperatives, and next steps for organizations pursuing cloud storage migration in a complex global environment
The path to effective cloud storage migration requires a balanced integration of strategic clarity, technical discipline, and pragmatic risk management. Organizations that succeed will adopt governance models that align business objectives with technical execution, leverage segmentation to tailor migration strategies by workload and industry requirements, and remain agile in the face of external pressures such as tariff shifts or supply chain volatility. Importantly, migration is not a one-time event but an ongoing capability: organizations should optimize for repeatability and continuous improvement so that future transitions become faster, safer, and more cost-effective.
Moving forward, teams should prioritize investments that reduce operational complexity-automation, observability, and managed services-while preserving sufficient control to meet compliance and performance obligations. By following a structured approach that integrates procurement strategy, vendor engagement, and talent development, organizations can transform storage migration from a disruptive project into a sustained enabler of business agility and resilience.
Note: PDF & Excel + Online Access - 1 Year
Establishing the strategic context for cloud storage migration to align business goals, risk tolerance, and operational readiness for digital transformation
Cloud storage migration has evolved from a tactical IT initiative into a strategic business transformation imperative. Organizations now view data mobility and storage strategy as core to competitive differentiation, operational resilience, and regulatory compliance. Advances in orchestration, data management, and edge computing have broadened the set of practical options, while evolving threat vectors and compliance regimes have raised the stakes for governance and security. Consequently, executives and technical leaders must balance speed with control, cost with capability, and innovation with continuity.
This introduction frames the critical decision factors that influence migration outcomes, including technical constraints, organizational capabilities, and external pressures. It outlines why a disciplined migration strategy matters today: to preserve data integrity during transition, to protect sensitive information against increasingly sophisticated threats, and to position infrastructure to support new workloads. By clarifying the interplay between business objectives and engineering trade-offs, this section prepares readers to evaluate subsequent, more detailed analysis and to define priorities that align with both near-term operational needs and longer-term strategic ambitions.
Identifying transformative shifts reshaping cloud storage migration including technological advances, organizational behaviors, regulatory dynamics, and ecosystem partnerships
The landscape for cloud storage migration is undergoing several simultaneous, transformative shifts that are redefining how organizations plan and execute projects. Technologically, the maturation of multi-cloud orchestration, containerized workloads, and advanced data-layer services reduces the friction of moving stateful storage while increasing the options available to architects. At the same time, cybersecurity frameworks and zero-trust architectures are reshaping migration sequencing and design, elevating identity and data protection as central migration concerns.
Organizational behavior is changing in lockstep: finance and procurement functions now play a more active role in cloud decisions, applying unit economics, consumption models, and governance guardrails to what were once purely technical choices. Vendor ecosystems are also evolving; hyperscalers, systems integrators, and niche specialists are forging partnerships and product integrations that accelerate lift-and-shift and refactor pathways alike. Together, these shifts create both opportunity and complexity, requiring a structured approach that aligns architectural choices with commercial terms and risk tolerances.
Assessing the cumulative impact of United States tariff actions in 2025 on cloud storage migration decisions, supply chains, procurement strategies, and vendor economics
Tariff policy and trade dynamics can have material effects on the economics and timing of cloud storage migrations, especially when they influence the cost and availability of hardware and related services. In the context of tariff actions originating from the United States in 2025, organizations may confront cumulative impacts through higher procurement costs for on-premises infrastructure components such as storage arrays, servers, and networking gear. These cost pressures can change the calculus for organizations that were considering hybrid or private deployments by increasing upfront capital expenditures relative to public cloud consumption models.
Beyond direct hardware pricing, tariffs can ripple into supply chain lead times and vendor pricing constructs. Extended delivery windows for imported components can prompt data center build delays, forcing teams to reconsider phased migration approaches or to rely more heavily on cloud-based interim storage. In response, some organizations will intensify negotiations with suppliers to secure price protection clauses and flexible delivery terms or pivot toward vendors with localized manufacturing footprints. Additionally, the interplay between tariffs and contractual commitments from cloud providers influences procurement strategies: firms may prefer consumption-centric models that shift risk away from capital procurement and toward operational spending.
Strategically, tariffs can accelerate decisions that previously rested on narrow cost comparisons. They incentivize architecture teams to evaluate migration approaches that minimize physical hardware dependencies and favor software-defined storage and managed services. At the same time, regulatory and compliance obligations remain determinative; organizations constrained by data residency or sovereignty requirements may find their options constrained, requiring careful planning to balance compliance, cost, and performance in light of tariff-induced pricing dynamics. Ultimately, leaders should treat tariff changes as a variable in scenario planning, updating procurement, inventory management, and vendor engagement strategies to maintain momentum while mitigating supply-side risk.
Delivering actionable segmentation insights to guide migration pathways across cloud types, deployment models, migration approaches, applications, industries, and enterprise scale
Segmentation offers practical lenses for aligning migration tactics with business objectives, technical constraints, and operational realities. When considering cloud type, IaaS, PaaS, and SaaS each imply distinct migration patterns: IaaS typically supports lift-and-shift migrations with a focus on infrastructure parity, PaaS encourages refactoring to embrace platform services and reduce operational burden, and SaaS often requires data extraction, transformation, and integration work to achieve functional parity. Deployment type-Hybrid, Private, and Public-further constrains design choices, because hybrid models demand robust connectivity and consistent policy enforcement across environments, private deployments prioritize control and customization, and public clouds emphasize elasticity and managed services.
Migration approach shapes timelines and resource allocation: Refactor work requires deeper application changes and higher upfront engineering effort but can deliver longer-term operational efficiencies, Rehost offers speed to move legacy workloads with minimal code changes, Replatform strikes a middle ground by leveraging managed services, and Repurchase may replace on-premises platforms with SaaS alternatives that change integration and licensing dynamics. Application type influences priorities and risk tolerance; Archives and Backup And Recovery demand integrity and cost efficiency, Collaboration and File Sharing emphasize latency and user experience, and Disaster Recovery requires deterministic failover capabilities. End use industry differences create compliance, security, and data sovereignty constraints: BFSI, Government, Healthcare, IT And Telecom, Manufacturing, and Retail each carry unique regulatory and operational demands that shape acceptable architectures and service-level commitments. Finally, organization size matters because Large Enterprise players often maintain legacy estates, complex procurement processes, and enterprise-scale compliance programs, whereas Small And Medium Enterprise organizations prioritize speed, predictable costs, and managed services that reduce the need for in-house expertise. Taken together, these segmentation dimensions guide pragmatic decisions about migration sequencing, vendor selection, and investment priorities, enabling teams to craft architectures that respect both technical needs and business constraints.
Comparing regional dynamics across the Americas, Europe, Middle East & Africa, and Asia-Pacific to inform migration timing, compliance strategies, and partner selection
Regional context exerts strong influence over migration priorities, partner selection, and compliance strategies. In the Americas, organizations often prioritize scale and innovation velocity, leveraging mature hyperscaler footprints and robust managed service ecosystems to accelerate migrations; however, they must also navigate state-level privacy laws and heightening cybersecurity expectations. By contrast, Europe, Middle East & Africa features a more fragmented regulatory environment, where data residency, cross-border transfer rules, and sectoral directives necessitate careful architecture and contractual guardrails, and where local partners with regional compliance expertise play an outsized role in successful deployments.
Asia-Pacific presents its own complexity and opportunity: rapid digitalization across diverse markets drives strong demand for cloud services, yet variations in infrastructure maturity and regulatory expectations mean that migration strategies must be highly localized. In several jurisdictions, national cloud initiatives and incentives encourage domestic capabilities, influencing procurement and partner ecosystems. Across all regions, latency-sensitive workloads, disaster recovery planning, and geopolitical considerations require organizations to incorporate regional resiliency and governance into migration roadmaps, selecting partners and deployment topologies that align with both regulatory obligations and performance requirements.
Key company-level intelligence and competitive dynamics highlighting hyperscalers, cloud integrators, specialized vendors, and strategic partnerships shaping migration outcomes
Competitive dynamics among companies engaged in cloud storage migration reflect a spectrum of capabilities, from global hyperscalers with native data services to systems integrators that combine migration tooling with industry expertise and smaller specialists focused on storage optimization and data protection. Hyperscalers differentiate with deep service portfolios and broad geographic footprints, enabling rapid scale and operational efficiency for many migration scenarios. Systems integrators and independent software vendors add value by orchestrating complex migrations, integrating legacy systems, and providing vertical-specific expertise that addresses regulatory, latency, and workflow concerns.
A growing subset of vendors emphasizes data observability, migration automation, and cost governance tools that reduce operational friction and accelerate cutover windows. Partnerships and channel strategies continue to shape the market, with strategic alliances improving interoperability between orchestration platforms and storage backends. Additionally, the vendor landscape is responding to customer demand for clearer commercial models and stronger performance commitments, prompting more flexible licensing, consumption reports, and SLAs. For procurement and technical teams, this environment favors vendors that can demonstrate repeatable migration playbooks, strong referenceability in relevant industries, and a track record of integrating security and compliance into every migration phase.
Actionable executive recommendations for leaders to accelerate secure, cost-effective cloud storage migration through governance, architecture, procurement, and talent strategies
Leaders can adopt a set of practical, prioritized actions to improve the probability of a successful migration while controlling risk and cost. Start by establishing a clear governance forum that brings together business owners, security and privacy leaders, finance, and engineering so that decisions reflect cross-functional trade-offs and accelerate approvals. Next, define migration goals in business terms-such as recovery objectives, performance targets, or user experience metrics-so architects can translate those goals into concrete design criteria and test plans.
From an operational perspective, invest in automated discovery, dependency mapping, and data classification early in the project to reduce unknowns and inform migration sequencing. Prioritize pilot initiatives that validate critical assumptions for high-risk workloads and allocate capacity to capture lessons learned before broad-scale migration. On vendor strategy, pursue a mix of hyperscaler capabilities for scale and specialized partners for complex integrations and vertical compliance. Finally, build a capacity plan for skills and change management: provide targeted training to operations teams, define runbooks for post-migration support, and prepare stakeholders for new operating models. These steps, taken together, create a repeatable, resilient approach that balances speed and control.
Transparent research methodology describing qualitative interviews, quantitative validation, data triangulation, and quality controls used to ensure robust migration insights
This analysis draws on a structured methodology combining qualitative and quantitative approaches to deliver robust, actionable insights. Primary research included confidential interviews with technical leaders, procurement executives, and solution providers to capture lived experiences, success factors, and common failure modes. These conversations provided grounded perspectives on migration timing, trade-offs among migration approaches, and the practical impacts of supply chain and policy changes.
Secondary research complemented primary inputs through review of publicly available technical documentation, vendor solution briefs, regulatory texts, and industry operational guidance. The analytical process applied data triangulation to reconcile differing perspectives, while scenario analysis helped illuminate how variables such as procurement disruptions or regulatory shifts could influence migration choices. Quality controls included cross-validation of technical claims with practitioner feedback and iterative refinement of segmentation frameworks to ensure that findings remain relevant across deployment types, application classes, and organizational profiles.
Conclusions synthesizing strategic priorities, operational imperatives, and next steps for organizations pursuing cloud storage migration in a complex global environment
The path to effective cloud storage migration requires a balanced integration of strategic clarity, technical discipline, and pragmatic risk management. Organizations that succeed will adopt governance models that align business objectives with technical execution, leverage segmentation to tailor migration strategies by workload and industry requirements, and remain agile in the face of external pressures such as tariff shifts or supply chain volatility. Importantly, migration is not a one-time event but an ongoing capability: organizations should optimize for repeatability and continuous improvement so that future transitions become faster, safer, and more cost-effective.
Moving forward, teams should prioritize investments that reduce operational complexity-automation, observability, and managed services-while preserving sufficient control to meet compliance and performance obligations. By following a structured approach that integrates procurement strategy, vendor engagement, and talent development, organizations can transform storage migration from a disruptive project into a sustained enabler of business agility and resilience.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
199 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Definition
- 1.3. Market Segmentation & Coverage
- 1.4. Years Considered for the Study
- 1.5. Currency Considered for the Study
- 1.6. Language Considered for the Study
- 1.7. Key Stakeholders
- 2. Research Methodology
- 2.1. Introduction
- 2.2. Research Design
- 2.2.1. Primary Research
- 2.2.2. Secondary Research
- 2.3. Research Framework
- 2.3.1. Qualitative Analysis
- 2.3.2. Quantitative Analysis
- 2.4. Market Size Estimation
- 2.4.1. Top-Down Approach
- 2.4.2. Bottom-Up Approach
- 2.5. Data Triangulation
- 2.6. Research Outcomes
- 2.7. Research Assumptions
- 2.8. Research Limitations
- 3. Executive Summary
- 3.1. Introduction
- 3.2. CXO Perspective
- 3.3. Market Size & Growth Trends
- 3.4. Market Share Analysis, 2025
- 3.5. FPNV Positioning Matrix, 2025
- 3.6. New Revenue Opportunities
- 3.7. Next-Generation Business Models
- 3.8. Industry Roadmap
- 4. Market Overview
- 4.1. Introduction
- 4.2. Industry Ecosystem & Value Chain Analysis
- 4.2.1. Supply-Side Analysis
- 4.2.2. Demand-Side Analysis
- 4.2.3. Stakeholder Analysis
- 4.3. Porter’s Five Forces Analysis
- 4.4. PESTLE Analysis
- 4.5. Market Outlook
- 4.5.1. Near-Term Market Outlook (0–2 Years)
- 4.5.2. Medium-Term Market Outlook (3–5 Years)
- 4.5.3. Long-Term Market Outlook (5–10 Years)
- 4.6. Go-to-Market Strategy
- 5. Market Insights
- 5.1. Consumer Insights & End-User Perspective
- 5.2. Consumer Experience Benchmarking
- 5.3. Opportunity Mapping
- 5.4. Distribution Channel Analysis
- 5.5. Pricing Trend Analysis
- 5.6. Regulatory Compliance & Standards Framework
- 5.7. ESG & Sustainability Analysis
- 5.8. Disruption & Risk Scenarios
- 5.9. Return on Investment & Cost-Benefit Analysis
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Cloud Storage Migration Market, by Cloud Type
- 8.1. Iaas
- 8.2. Paas
- 8.3. Saas
- 9. Cloud Storage Migration Market, by Migration Approach
- 9.1. Refactor
- 9.2. Rehost
- 9.3. Replatform
- 9.4. Repurchase
- 10. Cloud Storage Migration Market, by Organization Size
- 10.1. Large Enterprise
- 10.2. Small And Medium Enterprise
- 11. Cloud Storage Migration Market, by Deployment Type
- 11.1. Hybrid
- 11.2. Private
- 11.3. Public
- 12. Cloud Storage Migration Market, by Application
- 12.1. Archives
- 12.2. Backup And Recovery
- 12.3. Collaboration
- 12.4. Disaster Recovery
- 12.5. File Sharing
- 13. Cloud Storage Migration Market, by End Use Industry
- 13.1. Bfsi
- 13.2. Government
- 13.3. Healthcare
- 13.4. It And Telecom
- 13.5. Manufacturing
- 13.6. Retail
- 14. Cloud Storage Migration Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Cloud Storage Migration Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Cloud Storage Migration Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. United States Cloud Storage Migration Market
- 18. China Cloud Storage Migration Market
- 19. Competitive Landscape
- 19.1. Market Concentration Analysis, 2025
- 19.1.1. Concentration Ratio (CR)
- 19.1.2. Herfindahl Hirschman Index (HHI)
- 19.2. Recent Developments & Impact Analysis, 2025
- 19.3. Product Portfolio Analysis, 2025
- 19.4. Benchmarking Analysis, 2025
- 19.5. Alibaba Group Holding Limited
- 19.6. Amazon Web Services, Inc.
- 19.7. Google LLC
- 19.8. HCL Technologies Limited
- 19.9. Huawei Technologies Co., Ltd.
- 19.10. International Business Machines Corporation
- 19.11. Microsoft Corporation
- 19.12. Oracle Corporation
- 19.13. Rackspace Technology, Inc.
- 19.14. Tencent Holdings Limited
- 19.15. VMware, Inc.
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