Cloud Computing & Storage Market by Service Model (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS)), Availability Configuration (Single Site, Multi-Zone, Multi-Site), Deployment Model, Industry Vertical, Orga
Description
The Cloud Computing & Storage Market was valued at USD 929.14 billion in 2024 and is projected to grow to USD 1,058.19 billion in 2025, with a CAGR of 13.72%, reaching USD 2,599.19 billion by 2032.
A strategic introduction to how cloud computing and storage are reshaping enterprise operations, security, and data governance across modern organizations
Cloud computing and storage have evolved from niche infrastructure choices into foundational elements of enterprise strategy, driven by the imperative to enable agility, resilience, and data-driven innovation. Modern organizations are no longer treating cloud as a single destination; instead, they view it as a continuum of capabilities that must be orchestrated across public platforms, private environments, and the edge. This shift has elevated storage considerations from commodity provisioning to strategic decisions about data placement, protection, accessibility, and governance.
As workloads diversify and data volumes proliferate, leaders must balance performance demands with cost discipline while navigating an increasingly complex regulatory environment. Emerging application patterns such as AI and real-time analytics are placing distinct demands on compute and storage architectures, and businesses are responding by revisiting their service portfolios, operational models, and supplier relationships. In parallel, security and compliance are no longer afterthoughts; they are design principles embedded into every layer of architecture and procurement.
Consequently, cloud and storage strategies are becoming cross-functional initiatives that require collaboration across technology, risk, finance, and business units. This introduction frames the subsequent analysis by highlighting the interplay between technological innovation, operational practice, and policy realities, setting the stage for practical recommendations that help organizations harness cloud capabilities while mitigating disruption and sustaining competitive advantage.
Core transformative shifts redefining cloud computing and storage architectures, operations, security postures, and sustainability priorities across enterprises
The landscape of cloud computing and storage is experiencing transformative shifts that are redefining how organizations design, procure, and operate IT services. Hybrid and multi-cloud architectures have matured from conceptual approaches into operational norms, enabling organizations to place workloads where they perform best while maintaining centralized control and governance. At the same time, cloud-native patterns such as containers, microservices, and serverless computing are accelerating application delivery, reducing time-to-market, and changing expectations for storage performance and latency.
Data-centric innovations are also reshaping storage strategies. Data fabrics and advanced orchestration enable seamless movement and consistent policy enforcement across heterogeneous environments, while tiered storage and software-defined approaches offer greater flexibility in aligning cost with performance. Edge computing is extending these dynamics to distributed environments, bringing compute and storage closer to users and devices and necessitating new models for synchronization, resilience, and security.
Security and compliance have become integral to these shifts, prompting expanded investment in encryption, identity and access management, and proactive threat detection across cloud service components. Sustainability imperatives and energy-efficient architectures are increasingly factored into design and procurement decisions. Together, these forces are generating a landscape in which agility, visibility, and policy-driven automation are the principal differentiators for organizations seeking to scale digital initiatives securely and responsibly.
An analysis of how United States tariffs in 2025 are driving supplier diversification, procurement adaptations, and a strategic shift toward software-defined and service-centric approaches
The introduction of United States tariffs in 2025 has produced cumulative effects that reverberate across procurement, supply chains, and technology strategy for cloud computing and storage. One immediate consequence has been upward pressure on the cost of hardware components used in data centers, such as storage arrays, networking gear, and certain server components. In response, organizations and vendors have accelerated several adaptive behaviors: they are extending hardware refresh cycles, increasing reliance on leasing and consumption models, and deepening relationships with local integrators to reduce exposure to cross-border logistics complexity.
Beyond direct cost implications, tariffs have amplified attention on supply chain resilience and component provenance. Many organizations have pursued supplier diversification and nearshoring to mitigate geopolitical risk, while others have negotiated revised contractual terms with original equipment manufacturers. These strategies have altered procurement timelines and, in some cases, shifted investment from capital-intensive on-premise builds toward cloud-based services where capital expenditure is replaced by operational expenditure and where service providers absorb hardware sourcing risks.
Moreover, the tariff environment has incentivized software-driven efficiency gains. Enterprises and vendors are prioritizing software-defined storage, improved data lifecycle management, and compression and deduplication techniques to reduce hardware footprint and associated tariffs. Strategic sourcing decisions have also intensified vendor consolidation and partnership activity, as buyers seek scale and predictability. Finally, the policy backdrop has prompted stronger dialogue between industry and regulators about trade policy implications for critical infrastructure, highlighting the need for adaptive procurement frameworks that preserve competitiveness while maintaining supply chain visibility and security assurances.
Actionable segmentation insights revealing how service types, cloud components, deployment models, organization size, and vertical demands shape technology choices and priorities
A granular view of segmentation reveals distinct adoption patterns and strategic priorities that vary by service type, cloud service component, deployment model, organizational scale, and industry verticals. When organizations evaluate offerings across Backup as a Service, Disaster Recovery as a Service, Infrastructure as a Service, Platform as a Service, Software as a Service, and Storage as a Service, they frequently prioritize resiliency and recovery objectives for mission-critical systems while reserving cloud-native platforms for rapid application development. Consequently, backup and disaster recovery often serve as initial cloud use cases, whereas IaaS and PaaS are adopted to support modernization and developer productivity.
Examining cloud service components provides additional clarity. Compute and storage remain the workhorses of workloads, while database services-encompassing data warehousing as a service, NoSQL database as a service, and relational database as a service-are being selected based on workload characteristics and latency needs. Networking services, including content delivery networks, load balancing, and virtual private networks, underpin global application delivery and are increasingly integrated with security controls. Security and compliance capabilities such as data encryption, identity and access management, and threat and intrusion management are rising to the top of procurement checklists, reflecting regulatory pressure and evolving threat landscapes.
Deployment model choices between on cloud and on premise continue to reflect trade-offs between agility, control, and compliance. Large enterprises generally pursue hybrid and multi-cloud designs to balance scale and governance, whereas small and medium enterprises favor managed cloud services to reduce operational complexity. Industry-specific dynamics also influence segmentation: banking, financial services and insurance emphasize stringent compliance and low-latency access; healthcare and life sciences focus on data protection and interoperability; manufacturing and retail prioritize edge and real-time analytics; while education and government allocate resources to secure, cost-effective solutions that support broad stakeholder access. Taken together, these segmentation insights underline the necessity of tailored architectures and procurement approaches that align service types, component capabilities, deployment choices, organizational scale, and vertical requirements.
Strategic regional insights highlighting how regulatory regimes, infrastructure maturity, and industrial priorities drive differentiated cloud and storage adoption across global markets
Regional dynamics are shaping where and how cloud and storage capabilities are deployed, driven by differences in regulatory regimes, infrastructure maturity, and industrial priorities. In the Americas, cloud adoption is propelled by innovation hubs and the presence of large hyperscale providers, creating an ecosystem that favors rapid adoption of advanced services and strong developer communities. This environment encourages experimentation with AI-enabled storage optimization and efficient data pipelines, while regulatory attention on privacy and cross-border data flows continues to influence architecture choices.
Europe, Middle East & Africa exhibit a mosaic of drivers. Europe places heavy emphasis on data protection, sovereignty, and compliance frameworks that guide deployment models and vendor selection, prompting organizations to prioritize localized deployment and robust encryption and identity controls. In the Middle East, rapid public and private investment in digital infrastructure is creating new opportunities for cloud-native services, whereas parts of Africa are experiencing accelerated adoption driven by mobile-first use cases and edge-centric deployments that address latency and availability. Across this region, policy and sovereign considerations often dictate a cautious but strategic approach to cloud migration.
Asia-Pacific presents a diverse set of trajectories, with several economies focusing on domestic cloud capacity, manufacturing digitization, and large-scale deployments that support IoT and real-time analytics. Governments across the region are promoting cloud adoption as part of digital transformation agendas, while telcos and local providers are offering differentiated edge and connectivity solutions to meet industry-specific needs. These regional nuances underscore the importance of tailoring technology, procurement, and partner strategies to local regulatory requirements, infrastructure realities, and the specific priorities of industry clusters.
Company-level insights into how scale, specialization, partnerships, and interoperability determine competitive positioning and customer preference within the cloud and storage ecosystem
Competitive dynamics among companies operating in cloud and storage are defined by a combination of scale economics, platform breadth, domain specialization, and channel partnerships. Hyperscale providers continue to anchor the ecosystem by offering integrated stacks that combine compute, storage, networking, and sophisticated managed services, while established storage vendors and systems integrators are evolving their offerings toward cloud-native support and outcome-based services. At the same time, nimble startups and specialized vendors are innovating in areas such as data orchestration, storage optimization, security tooling, and industry-specific solutions, creating focal points for partnerships and acquisitions.
Companies that succeed are those that demonstrate interoperability, transparent pricing models, and strong professional services capabilities to simplify migration and ongoing operations. Strategic partnerships between cloud providers, telcos, software vendors, and channel partners are becoming decisive in addressing enterprise needs that span connectivity, edge services, and localized compliance. In addition, vendors that invest in developer enablement, robust APIs, and ecosystem integrations tend to capture higher share of workload migrations because they reduce lock-in concerns and accelerate time-to-value. Finally, companies that foreground sustainability, clear security roadmaps, and proven operational resilience position themselves as preferred partners for large-scale and regulated deployments.
Actionable recommendations for executives to optimize cloud deployments, fortify supply chains, enhance security, and align technology investments with strategic imperatives
Leaders should adopt a pragmatic, multi-dimensional strategy that aligns architecture choices with business objectives, regulatory constraints, and supply chain realities. First, embrace a hybrid and multi-cloud posture that allows workloads to reside where they achieve optimal balance of performance, cost, and compliance. This requires investing in orchestration, policy-driven governance, and unified observability to reduce operational complexity and maintain consistent security postures across environments. Second, prioritize software-defined approaches to storage and lifecycle management that reduce dependency on specific hardware vendors and allow for greater agility in response to tariff-driven cost volatility.
Third, strengthen supply chain resilience by diversifying suppliers, considering nearshore options for critical components, and incorporating contractual clauses that address lead times and substitution scenarios. Fourth, invest in data-centric security controls-encryption at rest and in transit, identity and access management, and proactive threat detection-to protect sensitive workloads and meet regulatory requirements. Fifth, build internal skills and partner networks focused on cloud-native development, data engineering, and operations automation to accelerate adoption while controlling risk. Finally, incorporate sustainability and energy-efficiency targets into procurement and architecture decisions, and engage proactively with policymakers to communicate infrastructure realities and promote stable trade frameworks that support critical digital infrastructure.
A rigorous mixed-methods research methodology combining practitioner interviews, vendor briefings, technical review, and scenario analysis to validate strategic insights
The research approach underpinning this analysis combined qualitative and evidence-driven methods to ensure robustness and relevance. Primary research included structured interviews with industry practitioners, cloud architects, procurement leaders, and security specialists to capture lived experiences, procurement trade-offs, and operational considerations. These conversations were complemented by vendor briefings and technical reviews that clarified product roadmaps, interoperability approaches, and service delivery models.
Secondary research encompassed a systematic review of public policy documents, technical white papers, vendor documentation, and academic literature to ground findings in verifiable sources. Insights were triangulated by cross-referencing practitioner accounts with vendor claims and technical specifications, and by validating thematic conclusions through follow-up interviews. Scenario analysis and sensitivity checks were used to explore how shifts in tariffs, regulatory priorities, and technology adoption patterns might influence strategic choices. Throughout the methodology, segmentation frameworks-covering service types, cloud service components, deployment models, organization size, and vertical industries-served to structure inquiries and ensure that recommendations are actionable across diverse enterprise contexts.
A concise conclusion underscoring the imperative for integrated cloud and storage strategies that balance innovation, governance, and supply chain resilience
In conclusion, cloud computing and storage are central levers for digital transformation, enabling organizations to respond to evolving customer expectations, regulatory demands, and competitive pressures. The post-2024 environment is characterized by a convergence of forces: technological advances in orchestration and data services, heightened security and compliance expectations, sustainability concerns, and policy-driven supply chain dynamics. These forces collectively shape how enterprises select service types, design cloud service components, and determine deployment models that match organizational scale and vertical-specific requirements.
Leaders who proactively align architecture, procurement, and operational practices with these dynamics will gain advantages in resilience, speed of innovation, and cost efficiency. Practical measures such as adopting software-defined storage, diversifying supply chains, investing in identity-first security, and tailoring regional strategies will help organizations navigate uncertainty while capturing the benefits of cloud-enabled transformation. The concluding message is clear: success in the evolving cloud and storage landscape depends on integrated strategies that combine technical rigor, governance discipline, and adaptive procurement to sustain long-term competitiveness.
Please Note: PDF & Excel + Online Access - 1 Year
A strategic introduction to how cloud computing and storage are reshaping enterprise operations, security, and data governance across modern organizations
Cloud computing and storage have evolved from niche infrastructure choices into foundational elements of enterprise strategy, driven by the imperative to enable agility, resilience, and data-driven innovation. Modern organizations are no longer treating cloud as a single destination; instead, they view it as a continuum of capabilities that must be orchestrated across public platforms, private environments, and the edge. This shift has elevated storage considerations from commodity provisioning to strategic decisions about data placement, protection, accessibility, and governance.
As workloads diversify and data volumes proliferate, leaders must balance performance demands with cost discipline while navigating an increasingly complex regulatory environment. Emerging application patterns such as AI and real-time analytics are placing distinct demands on compute and storage architectures, and businesses are responding by revisiting their service portfolios, operational models, and supplier relationships. In parallel, security and compliance are no longer afterthoughts; they are design principles embedded into every layer of architecture and procurement.
Consequently, cloud and storage strategies are becoming cross-functional initiatives that require collaboration across technology, risk, finance, and business units. This introduction frames the subsequent analysis by highlighting the interplay between technological innovation, operational practice, and policy realities, setting the stage for practical recommendations that help organizations harness cloud capabilities while mitigating disruption and sustaining competitive advantage.
Core transformative shifts redefining cloud computing and storage architectures, operations, security postures, and sustainability priorities across enterprises
The landscape of cloud computing and storage is experiencing transformative shifts that are redefining how organizations design, procure, and operate IT services. Hybrid and multi-cloud architectures have matured from conceptual approaches into operational norms, enabling organizations to place workloads where they perform best while maintaining centralized control and governance. At the same time, cloud-native patterns such as containers, microservices, and serverless computing are accelerating application delivery, reducing time-to-market, and changing expectations for storage performance and latency.
Data-centric innovations are also reshaping storage strategies. Data fabrics and advanced orchestration enable seamless movement and consistent policy enforcement across heterogeneous environments, while tiered storage and software-defined approaches offer greater flexibility in aligning cost with performance. Edge computing is extending these dynamics to distributed environments, bringing compute and storage closer to users and devices and necessitating new models for synchronization, resilience, and security.
Security and compliance have become integral to these shifts, prompting expanded investment in encryption, identity and access management, and proactive threat detection across cloud service components. Sustainability imperatives and energy-efficient architectures are increasingly factored into design and procurement decisions. Together, these forces are generating a landscape in which agility, visibility, and policy-driven automation are the principal differentiators for organizations seeking to scale digital initiatives securely and responsibly.
An analysis of how United States tariffs in 2025 are driving supplier diversification, procurement adaptations, and a strategic shift toward software-defined and service-centric approaches
The introduction of United States tariffs in 2025 has produced cumulative effects that reverberate across procurement, supply chains, and technology strategy for cloud computing and storage. One immediate consequence has been upward pressure on the cost of hardware components used in data centers, such as storage arrays, networking gear, and certain server components. In response, organizations and vendors have accelerated several adaptive behaviors: they are extending hardware refresh cycles, increasing reliance on leasing and consumption models, and deepening relationships with local integrators to reduce exposure to cross-border logistics complexity.
Beyond direct cost implications, tariffs have amplified attention on supply chain resilience and component provenance. Many organizations have pursued supplier diversification and nearshoring to mitigate geopolitical risk, while others have negotiated revised contractual terms with original equipment manufacturers. These strategies have altered procurement timelines and, in some cases, shifted investment from capital-intensive on-premise builds toward cloud-based services where capital expenditure is replaced by operational expenditure and where service providers absorb hardware sourcing risks.
Moreover, the tariff environment has incentivized software-driven efficiency gains. Enterprises and vendors are prioritizing software-defined storage, improved data lifecycle management, and compression and deduplication techniques to reduce hardware footprint and associated tariffs. Strategic sourcing decisions have also intensified vendor consolidation and partnership activity, as buyers seek scale and predictability. Finally, the policy backdrop has prompted stronger dialogue between industry and regulators about trade policy implications for critical infrastructure, highlighting the need for adaptive procurement frameworks that preserve competitiveness while maintaining supply chain visibility and security assurances.
Actionable segmentation insights revealing how service types, cloud components, deployment models, organization size, and vertical demands shape technology choices and priorities
A granular view of segmentation reveals distinct adoption patterns and strategic priorities that vary by service type, cloud service component, deployment model, organizational scale, and industry verticals. When organizations evaluate offerings across Backup as a Service, Disaster Recovery as a Service, Infrastructure as a Service, Platform as a Service, Software as a Service, and Storage as a Service, they frequently prioritize resiliency and recovery objectives for mission-critical systems while reserving cloud-native platforms for rapid application development. Consequently, backup and disaster recovery often serve as initial cloud use cases, whereas IaaS and PaaS are adopted to support modernization and developer productivity.
Examining cloud service components provides additional clarity. Compute and storage remain the workhorses of workloads, while database services-encompassing data warehousing as a service, NoSQL database as a service, and relational database as a service-are being selected based on workload characteristics and latency needs. Networking services, including content delivery networks, load balancing, and virtual private networks, underpin global application delivery and are increasingly integrated with security controls. Security and compliance capabilities such as data encryption, identity and access management, and threat and intrusion management are rising to the top of procurement checklists, reflecting regulatory pressure and evolving threat landscapes.
Deployment model choices between on cloud and on premise continue to reflect trade-offs between agility, control, and compliance. Large enterprises generally pursue hybrid and multi-cloud designs to balance scale and governance, whereas small and medium enterprises favor managed cloud services to reduce operational complexity. Industry-specific dynamics also influence segmentation: banking, financial services and insurance emphasize stringent compliance and low-latency access; healthcare and life sciences focus on data protection and interoperability; manufacturing and retail prioritize edge and real-time analytics; while education and government allocate resources to secure, cost-effective solutions that support broad stakeholder access. Taken together, these segmentation insights underline the necessity of tailored architectures and procurement approaches that align service types, component capabilities, deployment choices, organizational scale, and vertical requirements.
Strategic regional insights highlighting how regulatory regimes, infrastructure maturity, and industrial priorities drive differentiated cloud and storage adoption across global markets
Regional dynamics are shaping where and how cloud and storage capabilities are deployed, driven by differences in regulatory regimes, infrastructure maturity, and industrial priorities. In the Americas, cloud adoption is propelled by innovation hubs and the presence of large hyperscale providers, creating an ecosystem that favors rapid adoption of advanced services and strong developer communities. This environment encourages experimentation with AI-enabled storage optimization and efficient data pipelines, while regulatory attention on privacy and cross-border data flows continues to influence architecture choices.
Europe, Middle East & Africa exhibit a mosaic of drivers. Europe places heavy emphasis on data protection, sovereignty, and compliance frameworks that guide deployment models and vendor selection, prompting organizations to prioritize localized deployment and robust encryption and identity controls. In the Middle East, rapid public and private investment in digital infrastructure is creating new opportunities for cloud-native services, whereas parts of Africa are experiencing accelerated adoption driven by mobile-first use cases and edge-centric deployments that address latency and availability. Across this region, policy and sovereign considerations often dictate a cautious but strategic approach to cloud migration.
Asia-Pacific presents a diverse set of trajectories, with several economies focusing on domestic cloud capacity, manufacturing digitization, and large-scale deployments that support IoT and real-time analytics. Governments across the region are promoting cloud adoption as part of digital transformation agendas, while telcos and local providers are offering differentiated edge and connectivity solutions to meet industry-specific needs. These regional nuances underscore the importance of tailoring technology, procurement, and partner strategies to local regulatory requirements, infrastructure realities, and the specific priorities of industry clusters.
Company-level insights into how scale, specialization, partnerships, and interoperability determine competitive positioning and customer preference within the cloud and storage ecosystem
Competitive dynamics among companies operating in cloud and storage are defined by a combination of scale economics, platform breadth, domain specialization, and channel partnerships. Hyperscale providers continue to anchor the ecosystem by offering integrated stacks that combine compute, storage, networking, and sophisticated managed services, while established storage vendors and systems integrators are evolving their offerings toward cloud-native support and outcome-based services. At the same time, nimble startups and specialized vendors are innovating in areas such as data orchestration, storage optimization, security tooling, and industry-specific solutions, creating focal points for partnerships and acquisitions.
Companies that succeed are those that demonstrate interoperability, transparent pricing models, and strong professional services capabilities to simplify migration and ongoing operations. Strategic partnerships between cloud providers, telcos, software vendors, and channel partners are becoming decisive in addressing enterprise needs that span connectivity, edge services, and localized compliance. In addition, vendors that invest in developer enablement, robust APIs, and ecosystem integrations tend to capture higher share of workload migrations because they reduce lock-in concerns and accelerate time-to-value. Finally, companies that foreground sustainability, clear security roadmaps, and proven operational resilience position themselves as preferred partners for large-scale and regulated deployments.
Actionable recommendations for executives to optimize cloud deployments, fortify supply chains, enhance security, and align technology investments with strategic imperatives
Leaders should adopt a pragmatic, multi-dimensional strategy that aligns architecture choices with business objectives, regulatory constraints, and supply chain realities. First, embrace a hybrid and multi-cloud posture that allows workloads to reside where they achieve optimal balance of performance, cost, and compliance. This requires investing in orchestration, policy-driven governance, and unified observability to reduce operational complexity and maintain consistent security postures across environments. Second, prioritize software-defined approaches to storage and lifecycle management that reduce dependency on specific hardware vendors and allow for greater agility in response to tariff-driven cost volatility.
Third, strengthen supply chain resilience by diversifying suppliers, considering nearshore options for critical components, and incorporating contractual clauses that address lead times and substitution scenarios. Fourth, invest in data-centric security controls-encryption at rest and in transit, identity and access management, and proactive threat detection-to protect sensitive workloads and meet regulatory requirements. Fifth, build internal skills and partner networks focused on cloud-native development, data engineering, and operations automation to accelerate adoption while controlling risk. Finally, incorporate sustainability and energy-efficiency targets into procurement and architecture decisions, and engage proactively with policymakers to communicate infrastructure realities and promote stable trade frameworks that support critical digital infrastructure.
A rigorous mixed-methods research methodology combining practitioner interviews, vendor briefings, technical review, and scenario analysis to validate strategic insights
The research approach underpinning this analysis combined qualitative and evidence-driven methods to ensure robustness and relevance. Primary research included structured interviews with industry practitioners, cloud architects, procurement leaders, and security specialists to capture lived experiences, procurement trade-offs, and operational considerations. These conversations were complemented by vendor briefings and technical reviews that clarified product roadmaps, interoperability approaches, and service delivery models.
Secondary research encompassed a systematic review of public policy documents, technical white papers, vendor documentation, and academic literature to ground findings in verifiable sources. Insights were triangulated by cross-referencing practitioner accounts with vendor claims and technical specifications, and by validating thematic conclusions through follow-up interviews. Scenario analysis and sensitivity checks were used to explore how shifts in tariffs, regulatory priorities, and technology adoption patterns might influence strategic choices. Throughout the methodology, segmentation frameworks-covering service types, cloud service components, deployment models, organization size, and vertical industries-served to structure inquiries and ensure that recommendations are actionable across diverse enterprise contexts.
A concise conclusion underscoring the imperative for integrated cloud and storage strategies that balance innovation, governance, and supply chain resilience
In conclusion, cloud computing and storage are central levers for digital transformation, enabling organizations to respond to evolving customer expectations, regulatory demands, and competitive pressures. The post-2024 environment is characterized by a convergence of forces: technological advances in orchestration and data services, heightened security and compliance expectations, sustainability concerns, and policy-driven supply chain dynamics. These forces collectively shape how enterprises select service types, design cloud service components, and determine deployment models that match organizational scale and vertical-specific requirements.
Leaders who proactively align architecture, procurement, and operational practices with these dynamics will gain advantages in resilience, speed of innovation, and cost efficiency. Practical measures such as adopting software-defined storage, diversifying supply chains, investing in identity-first security, and tailoring regional strategies will help organizations navigate uncertainty while capturing the benefits of cloud-enabled transformation. The concluding message is clear: success in the evolving cloud and storage landscape depends on integrated strategies that combine technical rigor, governance discipline, and adaptive procurement to sustain long-term competitiveness.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
195 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of zero trust security frameworks across multi-cloud environments to mitigate data breaches
- 5.2. Integration of AI-powered cost optimization tools for real-time capacity planning in hybrid cloud deployments
- 5.3. Emergence of confidential computing services using secure enclaves to protect data in use among cloud providers
- 5.4. Expansion of container orchestration with Kubernetes-driven serverless frameworks for microservice workloads
- 5.5. Proliferation of data sovereignty regulations prompting localized edge cloud deployments in key regions
- 5.6. Growth of cross-cloud disaster recovery solutions leveraging continuous replication for mission critical applications
- 5.7. Adoption of hybrid multi-access edge computing architectures to support low-latency IoT and 5G use cases
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Cloud Computing & Storage Market, by Service Model
- 8.1. Infrastructure as a Service (IaaS)
- 8.2. Platform as a Service (PaaS)
- 8.3. Software as a Service (SaaS)
- 9. Cloud Computing & Storage Market, by Availability Configuration
- 9.1. Single Site
- 9.2. Multi-Zone
- 9.3. Multi-Site
- 10. Cloud Computing & Storage Market, by Deployment Model
- 10.1. Public Cloud
- 10.2. Private Cloud
- 10.3. Hybrid Cloud
- 10.3.1. Cloud Bursting
- 10.3.2. Cloud Adjacent
- 10.4. Edge Cloud
- 10.4.1. Operator Edge
- 10.4.2. Enterprise Edge
- 10.4.3. CDN Edge
- 11. Cloud Computing & Storage Market, by Industry Vertical
- 11.1. Banking, Financial Services & Insurance
- 11.2. Healthcare & Life Sciences
- 11.3. Retail & E-Commerce
- 11.4. Manufacturing
- 11.5. IT & Telecommunications
- 11.6. Media & Entertainment
- 11.7. Government & Defense
- 11.8. Education
- 11.9. Energy & Utilities
- 11.10. Transportation & Logistics
- 11.11. Real Estate & Construction
- 11.12. Agriculture
- 11.13. Gaming
- 12. Cloud Computing & Storage Market, by Organization Size
- 12.1. SMEs
- 12.2. Large Enterprise
- 13. Cloud Computing & Storage Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Cloud Computing & Storage Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Cloud Computing & Storage Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Accenture PLC
- 16.3.2. Adobe Inc.
- 16.3.3. Akamai Technologies, Inc.
- 16.3.4. Alibaba Group Holding Limited
- 16.3.5. Amazon Web Services, Inc.
- 16.3.6. Box, Inc.
- 16.3.7. Capgemini Services SAS
- 16.3.8. Cisco Systems, Inc.
- 16.3.9. Cloud Software Group, Inc.
- 16.3.10. Cloudera, Inc.
- 16.3.11. Cognizant Technology Solutions Corporation
- 16.3.12. Dell Inc.
- 16.3.13. DigitalOcean Holdings, Inc.
- 16.3.14. Dropbox, Inc.
- 16.3.15. Epicor Software Corporation
- 16.3.16. Fujitsu Limited
- 16.3.17. Google Inc. by Alphabet Inc.
- 16.3.18. Hewlett Packard Enterprise Development LP
- 16.3.19. International Business Machines Corporation
- 16.3.20. Lumen Technologies
- 16.3.21. Microsoft Corporation
- 16.3.22. NetApp, Inc.
- 16.3.23. Nutanix Group
- 16.3.24. OpenText Corporation
- 16.3.25. Oracle Corporation
- 16.3.26. Rackspace Technology’s
- 16.3.27. Salesforce, Inc.
- 16.3.28. SAP SE
- 16.3.29. ServiceNow, Inc.
- 16.3.30. Snowflake Inc.
- 16.3.31. Tencent Cloud
- 16.3.32. VMware by Broadcom Inc.
- 16.3.33. Zoho Corporation
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