Distributed Cloud Market by Type (Infrastructure As A Service (IaaS), Platform As A Service (PaaS), Software As A Service (SaaS)), Service Type (Data Security, Data Storage, Networking), Application, Industry Verticals, Organization Size - Global Forecast
Description
The Distributed Cloud Market was valued at USD 6.57 billion in 2024 and is projected to grow to USD 7.22 billion in 2025, with a CAGR of 10.27%, reaching USD 14.37 billion by 2032.
An incisive orientation to distributed cloud essentials and strategic implications for enterprise architecture data governance and operational agility
Distributed cloud has evolved from a conceptual architecture into a practical operational strategy that organizations are actively implementing to meet performance, compliance, and resilience objectives. As enterprises seek to bring cloud capabilities closer to users and endpoints, distributed cloud models offer a blend of centralized control and localized execution that reduces latency, enhances data sovereignty, and supports emerging workloads at the edge. This shift is not merely technical; it influences procurement, vendor relationships, and organizational design as teams align around hybrid operations, new security paradigms, and distributed service lifecycles.
Moreover, the proliferation of edge computing, connected devices, and data-intensive applications has created a demand for cloud services that can scale horizontally across geography while retaining consistent policy and management constructs. In this context, IT leaders are evaluating combinations of Infrastructure as a Service, Platform as a Service, and Software as a Service to create composable stacks that meet latency and regulatory needs. Consequently, successful initiatives emphasize interoperability, developer experience, and operational observability, as well as vendor-neutral integration patterns that avoid lock-in and preserve flexibility for future innovation.
The convergence of edge compute innovations regulatory shifts and cloud-native practices that are redefining where critical workloads run and how enterprises operate
The landscape of distributed cloud is undergoing transformative shifts driven by technology maturation, evolving regulatory expectations, and shifting enterprise priorities. Advances in container orchestration, lightweight virtualization, and AI-optimized workloads are enabling consistent service delivery across centralized and edge locations, while improvements in secure connectivity and zero trust architectures are addressing heightened security and compliance requirements. These technical developments are paralleled by changes in procurement and delivery models, where subscription-based and outcome-aligned commercial terms are replacing rigid capex investments and proprietary deployments.
Simultaneously, organizations are rethinking where critical workloads should run: latency-sensitive services migrate to edge nodes, data residency demands bring processing to local jurisdictions, and centralized platforms retain coordination and long-term storage. This redistribution reshapes network design, monitoring practices, and patching cycles, requiring a holistic operating model that integrates security, observability, and policy enforcement across dispersed environments. As such, early adopters that prioritize developer enablement, standardized APIs, and cross-domain automation are gaining measurable operational advantages while reducing time-to-market for new services.
How shifting tariff regimes in key markets are altering procurement strategies supply chain resilience and deployment blueprints for distributed cloud initiatives
The introduction of new tariffs in the United States in 2025 has introduced an additional variable into distributed cloud planning, influencing procurement pathways and total cost of ownership considerations for hardware, networking equipment, and cross-border content distribution. Organizations relying on multi-vendor supply chains have had to reassess sourcing strategies for servers, edge appliances, and specialized silicon used in AI and acceleration tasks, balancing near-term cost fluctuations against long-term resilience and vendor diversification. This reappraisal has prompted many buyers to evaluate alternative manufacturing geographies, long-lead procurement, and optimized inventory strategies to mitigate pricing volatility.
Beyond hardware, applied tariffs have had indirect effects on service delivery models by shifting incentives for localizing compute and storage. In certain cases, deploying localized nodes reduces cross-border data movement and the associated tariff exposure for imported equipment, while enabling tighter compliance with regional regulations. Cloud providers and integrators have responded by adjusting service bundles, partnering with regional infrastructure vendors, and refining logistics to maintain service continuity. Consequently, procurement, legal, and architecture teams are collaborating more closely to incorporate tariff considerations into deployment blueprints, supplier contracts, and lifecycle cost assessments.
A nuanced breakdown of adoption drivers across cloud service models operational services organization sizes application categories and industry-specific governance needs
Key segmentation insights reveal how adoption patterns and solution priorities vary across technical modalities, service categories, organizational scale, application use cases, and industry-specific drivers. When segmented by type, organizations evaluate Infrastructure As A Service, Platform As A Service, and Software As A Service through lenses of portability, operational overhead, and integration complexity, with each model presenting distinct trade-offs for control and speed to market. In terms of service type, priorities differentiate between Data Security, Data Storage, and Networking as decision makers balance confidentiality, persistence, and connectivity to meet workload SLAs and regulatory obligations.
Organizational size further shapes strategic choices: Large Enterprises typically pursue multi-provider strategies, invest in bespoke orchestration and compliance frameworks, and emphasize governance; Small & Medium-Sized Enterprises opt for managed services and simplified operational models to reduce complexity and accelerate deployment. Application-driven segmentation highlights the unique demands of Content Delivery, Edge Computing, and Internet of Things workloads, which require tailored placement, optimized data flows, and specialized processing capabilities. Finally, industry vertical considerations influence architecture and procurement. Sectors such as Banking, Financial Services, & Insurance demand stringent controls and auditable trails, Energy & Utilities prioritize uptime and physical asset integration, Government & Public Sector emphasize sovereignty, Healthcare mandates privacy and interoperability, IT & Telecom focus on latency and throughput, Manufacturing integrates real-time control systems, and Retail & Consumer Goods emphasize omnichannel responsiveness. Taken together, these segmentation lenses guide vendors and buyers in aligning capabilities, SLAs, and commercial models to the realities of each use case and governance environment.
Regional dynamics and localized strategies that determine distributed cloud adoption patterns driven by regulation infrastructure maturity and consumer expectations
Regional dynamics shape the adoption curve and operational strategies for distributed cloud, reflecting differences in regulatory regimes, infrastructure maturity, and customer expectations. In the Americas, a mix of advanced commercial adoption and diverse regulatory landscapes drives innovation in service design, with developers prioritizing latency reduction, edge capabilities, and strong hybrid management tools to serve both urban and remote markets. Meanwhile, Europe, Middle East & Africa present a complex mosaic of data protection regimes, national sovereignty concerns, and variable connectivity, prompting providers to offer localized deployment options and robust compliance toolkits to address legal and cultural diversity.
Asia-Pacific continues to exhibit rapid adoption of edge-first models in high-density urban centers as well as targeted investments in regional data centers to comply with localization rules. Connectivity and mobile-first consumption patterns in parts of Asia-Pacific encourage architectures that prioritize distributed CDN integration and microservice-based platforms. Across all regions, strategic partnerships between global providers and local infrastructure firms are becoming a common approach to balancing global standards with local requirements, and cross-border collaboration remains essential to delivering consistent experiences while respecting regional constraints.
Ecosystem dynamics where global cloud platforms regional infrastructure providers and niche specialists compete through partnerships performance and developer-centric differentiation
Competitive dynamics in the distributed cloud ecosystem reflect a blend of incumbent cloud providers expanding edge portfolios, network and telecommunications firms integrating cloud-native services, and specialized vendors offering hardened solutions for security, storage, and real-time processing. Leading vendors are differentiating through developer experience, global footprints paired with local nodes, and value-added services such as AI acceleration and managed orchestration. Strategic alliances and channel partnerships are shaping go-to-market playbooks, enabling vendors to combine global capabilities with regional expertise to satisfy complex procurement and regulatory demands.
For enterprise buyers, vendor selection increasingly hinges on demonstrable operational maturity, transparent SLAs, and a track record of cross-environment interoperability. Managed service providers and systems integrators that can bridge on-premises, edge, and centralized cloud operations are gaining traction by reducing integration risk and shortening implementation timelines. At the same time, smaller technology vendors are carving niche positions by optimizing for specific workloads-such as content delivery or industrial IoT-and by offering modular solutions that integrate into broader enterprise architectures. The net effect is a competitive landscape where adaptability, partnership ecosystems, and empirical operational performance determine success.
Practical enterprise strategies to pilot scale and govern distributed cloud initiatives while ensuring security resilience and vendor flexibility for sustained value
Industry leaders should adopt a pragmatic, phased approach to distributed cloud adoption that balances strategic ambition with operational discipline. Begin by establishing clear business cases for distributed deployments that link latency, data residency, or resilience objectives to measurable outcomes, and then prioritize pilot programs that validate architectural assumptions before scaling. Invest in developer experience and automation to ensure that distributed resources can be consumed and managed with the same level of agility as centralized cloud assets, thereby minimizing operational overhead and accelerating time-to-value.
Simultaneously, operationalize security and governance through standardized policy frameworks, observability pipelines, and lifecycle management processes that span edge and core environments. Build procurement and supply chain resilience into sourcing decisions by diversifying suppliers and considering regional manufacturing or inventory strategies to mitigate tariff and logistics risks. Finally, cultivate ecosystem partnerships with network providers, systems integrators, and specialized vendors to assemble composable solutions tailored to industry-specific needs, and ensure that internal stakeholders from legal, compliance, and operations are integrated into planning to streamline adoption and reduce integration risk.
A rigorous methodology blending primary expert insight and secondary technical analysis to ground findings in practical enterprise implementation realities and constraints
This research synthesizes qualitative expert interviews, vendor documentation, regulatory reviews, and secondary literature to develop a comprehensive view of distributed cloud dynamics. Primary inputs include structured discussions with technology leaders, cloud architects, and procurement specialists across multiple industries to capture practical implementation experiences and lessons learned. Secondary inputs encompass product literature, technical whitepapers, and policy texts that illuminate the capabilities, contractual considerations, and compliance frameworks that influence deployment choices.
Analytical methods combine thematic synthesis of qualitative insights with comparative evaluation of architecture patterns, vendor capabilities, and regional regulatory influences. Cross-validation techniques were applied to corroborate interview findings against publicly available technical documentation and operational case studies. Throughout, emphasis was placed on operational realism: scenarios and recommendations reflect actual implementation constraints, stakeholder incentives, and common failure modes observed in enterprise environments. Limitations and assumptions are clearly documented to support interpretation and to enable readers to adapt findings to their specific context.
The strategic imperative for harmonizing centralized governance with localized execution to unlock the full potential of distributed cloud for business transformation
Distributed cloud represents a pivotal evolution in how organizations architect compute and data services, offering a pathway to meet performance, sovereignty, and resilience goals in an increasingly distributed digital landscape. The cumulative effect of technology advances, shifting procurement models, and regional regulatory pressures requires leaders to adopt integrated operating models that reconcile centralized governance with localized execution. Those who invest in developer enablement, robust policy automation, and supply chain resilience will be best positioned to extract sustained value from distributed architectures.
Moving forward, success will depend on a measured blend of experimentation and governance, pragmatic vendor selection, and close collaboration across IT, security, legal, and business units. By aligning technical choices with concrete business outcomes and regional realities, organizations can harness distributed cloud to deliver differentiated customer experiences, accelerate digital initiatives, and reduce risk across a broad range of mission-critical workloads.
Note: PDF & Excel + Online Access - 1 Year
An incisive orientation to distributed cloud essentials and strategic implications for enterprise architecture data governance and operational agility
Distributed cloud has evolved from a conceptual architecture into a practical operational strategy that organizations are actively implementing to meet performance, compliance, and resilience objectives. As enterprises seek to bring cloud capabilities closer to users and endpoints, distributed cloud models offer a blend of centralized control and localized execution that reduces latency, enhances data sovereignty, and supports emerging workloads at the edge. This shift is not merely technical; it influences procurement, vendor relationships, and organizational design as teams align around hybrid operations, new security paradigms, and distributed service lifecycles.
Moreover, the proliferation of edge computing, connected devices, and data-intensive applications has created a demand for cloud services that can scale horizontally across geography while retaining consistent policy and management constructs. In this context, IT leaders are evaluating combinations of Infrastructure as a Service, Platform as a Service, and Software as a Service to create composable stacks that meet latency and regulatory needs. Consequently, successful initiatives emphasize interoperability, developer experience, and operational observability, as well as vendor-neutral integration patterns that avoid lock-in and preserve flexibility for future innovation.
The convergence of edge compute innovations regulatory shifts and cloud-native practices that are redefining where critical workloads run and how enterprises operate
The landscape of distributed cloud is undergoing transformative shifts driven by technology maturation, evolving regulatory expectations, and shifting enterprise priorities. Advances in container orchestration, lightweight virtualization, and AI-optimized workloads are enabling consistent service delivery across centralized and edge locations, while improvements in secure connectivity and zero trust architectures are addressing heightened security and compliance requirements. These technical developments are paralleled by changes in procurement and delivery models, where subscription-based and outcome-aligned commercial terms are replacing rigid capex investments and proprietary deployments.
Simultaneously, organizations are rethinking where critical workloads should run: latency-sensitive services migrate to edge nodes, data residency demands bring processing to local jurisdictions, and centralized platforms retain coordination and long-term storage. This redistribution reshapes network design, monitoring practices, and patching cycles, requiring a holistic operating model that integrates security, observability, and policy enforcement across dispersed environments. As such, early adopters that prioritize developer enablement, standardized APIs, and cross-domain automation are gaining measurable operational advantages while reducing time-to-market for new services.
How shifting tariff regimes in key markets are altering procurement strategies supply chain resilience and deployment blueprints for distributed cloud initiatives
The introduction of new tariffs in the United States in 2025 has introduced an additional variable into distributed cloud planning, influencing procurement pathways and total cost of ownership considerations for hardware, networking equipment, and cross-border content distribution. Organizations relying on multi-vendor supply chains have had to reassess sourcing strategies for servers, edge appliances, and specialized silicon used in AI and acceleration tasks, balancing near-term cost fluctuations against long-term resilience and vendor diversification. This reappraisal has prompted many buyers to evaluate alternative manufacturing geographies, long-lead procurement, and optimized inventory strategies to mitigate pricing volatility.
Beyond hardware, applied tariffs have had indirect effects on service delivery models by shifting incentives for localizing compute and storage. In certain cases, deploying localized nodes reduces cross-border data movement and the associated tariff exposure for imported equipment, while enabling tighter compliance with regional regulations. Cloud providers and integrators have responded by adjusting service bundles, partnering with regional infrastructure vendors, and refining logistics to maintain service continuity. Consequently, procurement, legal, and architecture teams are collaborating more closely to incorporate tariff considerations into deployment blueprints, supplier contracts, and lifecycle cost assessments.
A nuanced breakdown of adoption drivers across cloud service models operational services organization sizes application categories and industry-specific governance needs
Key segmentation insights reveal how adoption patterns and solution priorities vary across technical modalities, service categories, organizational scale, application use cases, and industry-specific drivers. When segmented by type, organizations evaluate Infrastructure As A Service, Platform As A Service, and Software As A Service through lenses of portability, operational overhead, and integration complexity, with each model presenting distinct trade-offs for control and speed to market. In terms of service type, priorities differentiate between Data Security, Data Storage, and Networking as decision makers balance confidentiality, persistence, and connectivity to meet workload SLAs and regulatory obligations.
Organizational size further shapes strategic choices: Large Enterprises typically pursue multi-provider strategies, invest in bespoke orchestration and compliance frameworks, and emphasize governance; Small & Medium-Sized Enterprises opt for managed services and simplified operational models to reduce complexity and accelerate deployment. Application-driven segmentation highlights the unique demands of Content Delivery, Edge Computing, and Internet of Things workloads, which require tailored placement, optimized data flows, and specialized processing capabilities. Finally, industry vertical considerations influence architecture and procurement. Sectors such as Banking, Financial Services, & Insurance demand stringent controls and auditable trails, Energy & Utilities prioritize uptime and physical asset integration, Government & Public Sector emphasize sovereignty, Healthcare mandates privacy and interoperability, IT & Telecom focus on latency and throughput, Manufacturing integrates real-time control systems, and Retail & Consumer Goods emphasize omnichannel responsiveness. Taken together, these segmentation lenses guide vendors and buyers in aligning capabilities, SLAs, and commercial models to the realities of each use case and governance environment.
Regional dynamics and localized strategies that determine distributed cloud adoption patterns driven by regulation infrastructure maturity and consumer expectations
Regional dynamics shape the adoption curve and operational strategies for distributed cloud, reflecting differences in regulatory regimes, infrastructure maturity, and customer expectations. In the Americas, a mix of advanced commercial adoption and diverse regulatory landscapes drives innovation in service design, with developers prioritizing latency reduction, edge capabilities, and strong hybrid management tools to serve both urban and remote markets. Meanwhile, Europe, Middle East & Africa present a complex mosaic of data protection regimes, national sovereignty concerns, and variable connectivity, prompting providers to offer localized deployment options and robust compliance toolkits to address legal and cultural diversity.
Asia-Pacific continues to exhibit rapid adoption of edge-first models in high-density urban centers as well as targeted investments in regional data centers to comply with localization rules. Connectivity and mobile-first consumption patterns in parts of Asia-Pacific encourage architectures that prioritize distributed CDN integration and microservice-based platforms. Across all regions, strategic partnerships between global providers and local infrastructure firms are becoming a common approach to balancing global standards with local requirements, and cross-border collaboration remains essential to delivering consistent experiences while respecting regional constraints.
Ecosystem dynamics where global cloud platforms regional infrastructure providers and niche specialists compete through partnerships performance and developer-centric differentiation
Competitive dynamics in the distributed cloud ecosystem reflect a blend of incumbent cloud providers expanding edge portfolios, network and telecommunications firms integrating cloud-native services, and specialized vendors offering hardened solutions for security, storage, and real-time processing. Leading vendors are differentiating through developer experience, global footprints paired with local nodes, and value-added services such as AI acceleration and managed orchestration. Strategic alliances and channel partnerships are shaping go-to-market playbooks, enabling vendors to combine global capabilities with regional expertise to satisfy complex procurement and regulatory demands.
For enterprise buyers, vendor selection increasingly hinges on demonstrable operational maturity, transparent SLAs, and a track record of cross-environment interoperability. Managed service providers and systems integrators that can bridge on-premises, edge, and centralized cloud operations are gaining traction by reducing integration risk and shortening implementation timelines. At the same time, smaller technology vendors are carving niche positions by optimizing for specific workloads-such as content delivery or industrial IoT-and by offering modular solutions that integrate into broader enterprise architectures. The net effect is a competitive landscape where adaptability, partnership ecosystems, and empirical operational performance determine success.
Practical enterprise strategies to pilot scale and govern distributed cloud initiatives while ensuring security resilience and vendor flexibility for sustained value
Industry leaders should adopt a pragmatic, phased approach to distributed cloud adoption that balances strategic ambition with operational discipline. Begin by establishing clear business cases for distributed deployments that link latency, data residency, or resilience objectives to measurable outcomes, and then prioritize pilot programs that validate architectural assumptions before scaling. Invest in developer experience and automation to ensure that distributed resources can be consumed and managed with the same level of agility as centralized cloud assets, thereby minimizing operational overhead and accelerating time-to-value.
Simultaneously, operationalize security and governance through standardized policy frameworks, observability pipelines, and lifecycle management processes that span edge and core environments. Build procurement and supply chain resilience into sourcing decisions by diversifying suppliers and considering regional manufacturing or inventory strategies to mitigate tariff and logistics risks. Finally, cultivate ecosystem partnerships with network providers, systems integrators, and specialized vendors to assemble composable solutions tailored to industry-specific needs, and ensure that internal stakeholders from legal, compliance, and operations are integrated into planning to streamline adoption and reduce integration risk.
A rigorous methodology blending primary expert insight and secondary technical analysis to ground findings in practical enterprise implementation realities and constraints
This research synthesizes qualitative expert interviews, vendor documentation, regulatory reviews, and secondary literature to develop a comprehensive view of distributed cloud dynamics. Primary inputs include structured discussions with technology leaders, cloud architects, and procurement specialists across multiple industries to capture practical implementation experiences and lessons learned. Secondary inputs encompass product literature, technical whitepapers, and policy texts that illuminate the capabilities, contractual considerations, and compliance frameworks that influence deployment choices.
Analytical methods combine thematic synthesis of qualitative insights with comparative evaluation of architecture patterns, vendor capabilities, and regional regulatory influences. Cross-validation techniques were applied to corroborate interview findings against publicly available technical documentation and operational case studies. Throughout, emphasis was placed on operational realism: scenarios and recommendations reflect actual implementation constraints, stakeholder incentives, and common failure modes observed in enterprise environments. Limitations and assumptions are clearly documented to support interpretation and to enable readers to adapt findings to their specific context.
The strategic imperative for harmonizing centralized governance with localized execution to unlock the full potential of distributed cloud for business transformation
Distributed cloud represents a pivotal evolution in how organizations architect compute and data services, offering a pathway to meet performance, sovereignty, and resilience goals in an increasingly distributed digital landscape. The cumulative effect of technology advances, shifting procurement models, and regional regulatory pressures requires leaders to adopt integrated operating models that reconcile centralized governance with localized execution. Those who invest in developer enablement, robust policy automation, and supply chain resilience will be best positioned to extract sustained value from distributed architectures.
Moving forward, success will depend on a measured blend of experimentation and governance, pragmatic vendor selection, and close collaboration across IT, security, legal, and business units. By aligning technical choices with concrete business outcomes and regional realities, organizations can harness distributed cloud to deliver differentiated customer experiences, accelerate digital initiatives, and reduce risk across a broad range of mission-critical workloads.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
184 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. Integration of AI-driven orchestration across distributed cloud nodes for real-time data processing
- 5.2. Adoption of edge security services to protect distributed cloud environments from emerging cyber threats
- 5.3. Development of multi-cloud networking frameworks to enable seamless workload mobility across providers
- 5.4. Implementation of containerized microservices architecture for scalable distributed cloud applications
- 5.5. Integration of 5G connectivity with distributed cloud platforms for ultra-low latency services
- 5.6. Use of decentralized data governance models to ensure compliance across distributed cloud regions
- 5.7. Emergence of specialized distributed cloud marketplaces to simplify consumption of edge services
- 5.8. Growth of hybrid cloud partnerships combining on-premises and multi-edge deployments for data sovereignty
- 5.9. Proliferation of industry-specific distributed cloud stacks optimized for regulated verticals such as healthcare, finance, and public sector workloads
- 5.10. Expansion of cloud-native observability and AIOps platforms designed to monitor, troubleshoot, and optimize performance across large-scale distributed cloud estates
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Distributed Cloud Market, by Type
- 8.1. Infrastructure As A Service (IaaS)
- 8.2. Platform As A Service (PaaS)
- 8.3. Software As A Service (SaaS)
- 9. Distributed Cloud Market, by Service Type
- 9.1. Data Security
- 9.2. Data Storage
- 9.3. Networking
- 10. Distributed Cloud Market, by Application
- 10.1. Content Delivery
- 10.2. Edge Computing
- 10.3. Internet of Things
- 11. Distributed Cloud Market, by Industry Verticals
- 11.1. Banking, Financial Services, & Insurance
- 11.2. Energy & Utilities
- 11.3. Government & Public Sector
- 11.4. Healthcare
- 11.5. IT & Telecom
- 11.6. Manufacturing
- 11.7. Retail & Consumer Goods
- 12. Distributed Cloud Market, by Organization Size
- 12.1. Large Enterprises
- 12.2. Small & Medium-Sized Enterprises (SMEs)
- 13. Distributed Cloud 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. Distributed Cloud Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Distributed Cloud 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. Akamai Technologies, Inc.
- 16.3.3. Alibaba Group Holding Limited
- 16.3.4. Amazon Web Services, Inc.
- 16.3.5. Cisco Systems, Inc.
- 16.3.6. Cloud Sigma AG
- 16.3.7. Cloudflare, Inc.
- 16.3.8. Cohesity, Inc.
- 16.3.9. DELL TECHNOLOGIES INC.
- 16.3.10. DigitalOcean Holdings, Inc.
- 16.3.11. Equinix, Inc.
- 16.3.12. F5, Inc.
- 16.3.13. Google LLC by Alphabet Inc.
- 16.3.14. HEWLETT PACKARD ENTERPRISE COMPANY
- 16.3.15. Huawei Investment & Holding Co., Ltd.
- 16.3.16. Infosys Limited
- 16.3.17. International Business Machines Corporation
- 16.3.18. Kinetica DB, Inc.
- 16.3.19. Lumen Technologies, Inc.
- 16.3.20. Microsoft Corporation
- 16.3.21. Oracle Corporation
- 16.3.22. Rackspace Technology, Inc.
- 16.3.23. Telefonaktiebolaget LM Ericsson
- 16.3.24. Tencent Holding Limited
- 16.3.25. Teradata Corporation
- 16.3.26. VMware, Inc. by Broadcom, Inc.
- 16.3.27. Wind River Systems, Inc.
- 16.3.28. Wipro Limited
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