Erasure Coding Market
By Component;
Software, Hardware and ServicesBy Application;
Data Storage, Data Backup & Recovery, Big Data Analytics, Cloud Storage and OthersBy Deployment Mode;
On-Premises and CloudBy Enterprise Size;
Small & Medium Enterprises and Large EnterprisesBy End User;
BFSI, Healthcare, IT & Telecommunications, Media & Entertainment, Government and OthersBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa and Latin America - Report Timeline (2021 - 2031)Erasure Coding Market Overview
Erasure Coding Market (USD Million)
Erasure Coding Market was valued at USD 7.80 million in the year 2024. The size of this market is expected to increase to USD 12.20 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 6.6%.
Erasure Coding Market
*Market size in USD million
CAGR 6.6 %
| Study Period | 2025 - 2031 |
|---|---|
| Base Year | 2024 |
| CAGR (%) | 6.6 % |
| Market Size (2024) | USD 7.80 Million |
| Market Size (2031) | USD 12.20 Million |
| Market Concentration | Medium |
| Report Pages | 309 |
Major Players
- Actifio Inc.
- Alphabet Inc
- Cisco Systems, Inc.
- Dell EMC
- Fujitsu Ltd.
- Hitachi, Ltd
- Huawei Technologies Co., Ltd
- IBM Corporation
- Lenovo Group Limited
- Nephos Technologies
- NetApp, Inc.
- Nutanix, Inc.
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Erasure Coding Market
Fragmented - Highly competitive market without dominant players
The Erasure Coding Market is expanding steadily as enterprises seek advanced methods for ensuring data durability and system availability. With over 60% of modern storage frameworks adopting erasure coding techniques, there are strong opportunities to deliver solutions that improve data resilience, reduce storage overhead, and optimize recovery times. These systems are becoming foundational in scalable, fault-tolerant storage environments.
Innovative Encoding Technologies Transforming Storage Architecture
Approximately 55% of erasure coding-enabled platforms now leverage technological advancements such as parallel encoding pipelines, real-time error correction, and flexible parity schemes. These innovations enhance speed, reduce data loss probability, and improve compatibility across hybrid and multi-cloud infrastructures. Enterprises benefit from more efficient and secure data redundancy systems.
Strategic Collaborations Supporting Seamless Data Integration
Nearly 50% of providers are building collaborations and forming partnerships with cloud storage services, edge computing platforms, and software-defined storage developers. These initiatives support expansion by integrating erasure coding into broader storage ecosystems, ensuring continuity and consistency in large-scale deployments. Unified architectures streamline performance and simplify data management.
Future Outlook Emphasizes Smart, Predictive Data Resilience
The future outlook for this market is shaped by intelligent erasure coding systems capable of predictive maintenance, dynamic rebalancing, and self-optimizing recovery workflows. Over 50% of new offerings will feature machine learning–driven tuning, cross-node coordination, and real-time anomaly detection. These trends support continued growth, advanced data security, and sustained innovation in storage protection.
Erasure Coding Market Key Takeaways
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Growing enterprise and cloud data volumes are increasing demand for erasure coding solutions that provide superior data durability and storage efficiency compared to traditional replication methods.
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Cloud-based deployments dominate the market as organizations seek scalability and flexibility, while on-premises models continue to serve compliance-focused and latency-sensitive applications.
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Adoption is strong across BFSI, IT & telecom, and healthcare sectors where regulatory compliance and data integrity are top priorities in large-scale distributed storage systems.
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Emerging technologies such as machine learning optimization, hybrid cloud integration, and edge data resilience are enhancing erasure coding capabilities for modern IT infrastructures.
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Asia-Pacific is expected to record the fastest growth driven by rapid digital transformation and cloud expansion, although North America currently leads in adoption and innovation.
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Challenges such as high computational demands, complex integration, and limited expertise in legacy environments are hindering wider implementation.
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Vendors focusing on software-defined architectures, automation, and ecosystem partnerships are best positioned to capitalize on future market opportunities.
Erasure Coding Market Recent Developments
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In June 2024, a cloud infrastructure company launched a new erasure coding technology improving data durability and recovery speed for hyperscale storage systems.
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In February 2023, a data storage firm partnered with an enterprise cloud provider to integrate erasure coding algorithms optimizing data protection and reducing storage overhead.
Erasure Coding Market Segment Analysis
In this report, the Erasure Coding Market has been segmented by Component, Application, Deployment Mode, Enterprise Size, End User, and Geography.
Erasure Coding Market, Segmentation by Component
The Component segmentation frames how value is created across software, hardware, and services, aligning with buyer priorities around data durability, storage efficiency, and total cost of ownership. Vendors differentiate through algorithmic innovations, hardware acceleration, and managed support that reduce recovery time objectives and improve fault tolerance versus traditional replication. Growth strategies focus on integrations with object, block, and file platforms, partnerships with cloud and OEM ecosystems, and roadmaps that extend erasure coding across edge and multi-cloud environments, while addressing challenges such as encoding overheads, workload latency, and operational complexity.
Software
Software delivers the core erasure coding logic, policy engines, and APIs embedded in object stores, distributed file systems, and data protection suites. Vendors emphasize flexible coding schemes (e.g., variable k+m), autotiering, and policy-based placement to balance resilience and performance across heterogeneous nodes. Strategic levers include open-source participation, SDKs for ISV integration, and observability to quantify savings versus replication, while mitigating challenges around small-object handling and hybrid workloads.
Hardware
Hardware components—controllers, accelerators, and optimized storage nodes—target throughput and latency improvements during encode/decode operations. Suppliers invest in offload engines and smart-NICs to minimize CPU contention and reduce rebuild windows during failures. Partnerships with server OEMs and drive vendors enable validated reference architectures for dense clusters, addressing drivers like scale-out object storage while navigating challenges in power, cooling, and mixed media management.
Services
Services span design, migration, managed operations, and performance tuning, helping enterprises operationalize policies and SLOs. Providers differentiate with workload assessments, resilience testing, and runbooks for multi-site topologies, accelerating adoption while reducing risk. Go-to-market models emphasize consulting partnerships with cloud, integrators, and cybersecurity firms, addressing challenges like skills gaps and change management across global teams.
Erasure Coding Market, Segmentation by Application
The Application view reflects where erasure coding delivers measurable value across storage, protection, analytics, and cloud use cases. Buyers prioritize data durability, capacity efficiency, and compliance while maintaining performance for mixed workloads. Vendors position differentiated coding profiles and policy automation to meet SLA needs, with expansion anchored in object storage adoption, ransomware resilience, and multi-cloud data mobility, amid challenges like small-I/O overhead and cross-region latency.
Data StorageIn Data Storage, erasure coding underpins scalable object and distributed file platforms, reducing raw capacity versus replication while preserving fault tolerance. Strategies include tiering across flash and HDD, geo-dispersed layouts, and self-healing mechanisms that localize repairs. Buyers evaluate policy controls, observability, and cost per TB across growth horizons and regulatory needs.
Data Backup & Recovery
For Data Backup & Recovery, erasure coding enhances resilience against multi-node failures and lowers storage overhead for large backup repositories. Vendors highlight immutability, air-gap patterns, and rapid rebuilds to strengthen cyber-recovery postures. Integrations with leading backup suites and S3-compatible targets streamline operations, addressing challenges like rehydration costs and long-tail retrieval performance.
Big Data Analytics
Within Big Data Analytics, erasure coding supports durable data lakes and AI/ML pipelines, balancing throughput with capacity efficiency for petabyte-scale assets. Solutions emphasize local-rebuild codes, rack-aware placement, and cold-to-warm tiering to align with query patterns. Partnerships with analytics engines and table formats improve compatibility while tackling challenges around small-file proliferation and metadata overhead.
Cloud Storage
In Cloud Storage, erasure coding is foundational to object and archive tiers across public, private, and multi-cloud footprints. Providers compete on durability SLAs, egress economics, and cross-region replication options, enabling sovereignty-aware architectures. Growth stems from cloud-native applications and backup modernization, with challenges focused on inter-region latency and policy sprawl.
Others
The Others category captures emerging workloads such as edge data retention, media archives, and scientific repositories. Vendors test lightweight codes and erasure domains for constrained sites, pursuing partnerships with CDN, M&E, and research ecosystems. Key drivers include lifecycle cost control and regulatory durability, balanced against challenges in intermittent connectivity and operational tooling.
Erasure Coding Market, Segmentation by Deployment Mode
Deployment Mode shapes architecture choices and procurement, distinguishing on-premises control from cloud elasticity. Buyers weigh data sovereignty, latency, and cost predictability against scalability and managed operations. Vendors respond with software-defined stacks, appliance options, and as-a-service models that unify policies across sites, addressing challenges like skills gaps, cross-region design, and lifecycle upgrades.
On-Premises
On-Premises deployments provide deterministic performance, security, and governance for regulated or latency-sensitive workloads. Strategies include reference architectures with OEM partners, GPU/FPGA offload for encode/decode, and observability to quantify savings over replication. Buyers manage challenges such as capacity planning, node failure domains, and multi-site repair traffic.
Cloud
Cloud models emphasize elastic scale, global reach, and operational simplicity, with erasure coding embedded in object and archive tiers. Providers compete on durability guarantees, policy automation, and data mobility across regions and accounts. While drivers include faster time-to-value and OPEX alignment, challenges center on egress economics, locality, and cross-cloud governance.
Erasure Coding Market, Segmentation by Enterprise Size
Enterprise Size segmentation captures distinct adoption patterns between SMEs and large enterprises. Buyers pursue cost efficiency, resilience, and compliance, but differ in scale, skills, and integration depth. Vendors tailor packaging, pricing, and services accordingly—ranging from simplified deployments and managed offerings to global, policy-driven platforms—while managing challenges such as heterogeneous infrastructure and multi-site operations.
Small & Medium Enterprises
Small & Medium Enterprises value prescriptive blueprints, turnkey clusters, and managed support that reduce operational complexity. Go-to-market approaches emphasize channel partners, bundled subscriptions, and metrics that demonstrate capacity savings versus replication. Key challenges include limited in-house expertise, budget constraints, and integration with existing backup and archive tools.
Large Enterprises
Large Enterprises require global namespaces, policy orchestration, and geo-dispersed fault domains for mission-critical data. Strategies include multi-region designs, tiered storage, and automation tied to data classification and SLAs. While drivers include scale economics and compliance, challenges involve inter-site bandwidth, mixed media refresh, and cross-team operations.
Erasure Coding Market, Segmentation by End User
End User dynamics reflect vertical-specific resilience, compliance, and retention needs across BFSI, Healthcare, IT & Telecommunications, Media & Entertainment, Government, and Others. Vendors build industry solutions, certifications, and ecosystem partnerships to align with data protection mandates, addressing challenges such as long-term archiving, cyber-recovery, and cross-border data movement. Future outlook centers on AI-driven data services, immutability, and unified governance across hybrid clouds.
BFSI
In BFSI, erasure coding supports regulatory durability, immutability, and low-RPO recovery for trading, payments, and archival records. Strategies prioritize multi-site topologies, encryption, and auditability, while managing challenges like strict latency targets and long retention horizons.
Healthcare
Healthcare workloads—imaging archives, EHR backups, and research repositories—benefit from fault tolerance and cost-efficient scale. Vendors pursue compliance packs and validated integrations with PACS/VNA and backup suites, addressing challenges around PHI security, access governance, and site resilience.
IT & Telecommunications
IT & Telecommunications leverages erasure coding for object storage, 5G core data, and platform logs at petabyte scale. Providers emphasize automation, observability, and geo-redundancy, navigating challenges such as bursty I/O, edge aggregation, and lifecycle optimization.
Media & Entertainment
In Media & Entertainment, content libraries and archives require durability with predictable throughput for transcode and distribution. Strategies include cold-to-warm tiering, content integrity checks, and CDN adjacency, while addressing challenges in large-object lifecycles and multi-tenant collaboration.
Government
Government agencies adopt erasure coding for sovereign data, records management, and disaster recovery across regions. Vendors invest in security hardening, policy templates, and air-gapped designs, balancing drivers like compliance and transparency with challenges in procurement and legacy interoperability.
Others
The Others segment spans research, education, and industrial archives seeking durable, cost-efficient retention. Partnerships with HPC, labs, and manufacturing ecosystems promote validated blueprints, while challenges include metadata sprawl, small-file behavior, and skills enablement.
Erasure Coding Market, Segmentation by Geography
In this report, the Erasure Coding Market has been segmented by Geography into five regions: North America, Europe, Asia Pacific, Middle East and Africa and Latin America.
Regions and Countries Analyzed in this Report
North America
North America exhibits strong adoption driven by cloud-first strategies, cyber-resilience priorities, and large-scale object storage estates. Vendors leverage deep ecosystem partnerships with hyperscalers, ISVs, and integrators, while buyers focus on governance, observability, and cost efficiency across hybrid footprints. Key challenges include cross-region latency tuning and optimizing small-object workflows at scale.
Europe
In Europe, growth is shaped by data sovereignty, compliance, and energy-efficient infrastructure mandates. Providers emphasize sovereign cloud options, certifications, and efficient coding profiles that align with sustainability goals. Buyers prioritize multi-site durability and policy automation, while managing challenges around cross-border data movement and procurement complexity.
Asia Pacific
Asia Pacific benefits from rapid digitalization, expanding telecom and media footprints, and data-intensive AI/analytics initiatives. Strategies include regional clusters, edge-to-core data flows, and partnerships with local cloud providers to address latency and sovereignty. Key challenges involve heterogeneous infrastructure maturity and operational skills dispersion across markets.
Middle East & Africa
Middle East & Africa adoption is catalyzed by public sector digitization, financial services modernization, and new cloud regions. Vendors pursue reference architectures with regional integrators and emphasize security hardening and resilience. Challenges include variable connectivity, limited specialized talent pools, and evolving regulatory frameworks.
Latin America
Latin America shows rising demand across BFSI, media, and e-commerce platforms seeking durable, cost-effective storage. Providers focus on channel enablement, managed services, and hybrid cloud blueprints to accelerate outcomes. Persistent challenges include bandwidth constraints, budget variability, and complex compliance landscapes across countries.
Erasure Coding Market Forces
This report provides an in depth analysis of various factors that impact the dynamics of Erasure Coding Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Comprehensive Market Impact Matrix
This matrix outlines how core market forces Drivers, Restraints, and Opportunities affect key business dimensions including Growth, Competition, Customer Behavior, Regulation, and Innovation.
| Market Forces ↓ / Impact Areas → | Market Growth Rate | Competitive Landscape | Customer Behavior | Regulatory Influence | Innovation Potential |
|---|---|---|---|---|---|
| Drivers | High impact (e.g., tech adoption, rising demand) | Encourages new entrants and fosters expansion | Increases usage and enhances demand elasticity | Often aligns with progressive policy trends | Fuels R&D initiatives and product development |
| Restraints | Slows growth (e.g., high costs, supply chain issues) | Raises entry barriers and may drive market consolidation | Deters consumption due to friction or low awareness | Introduces compliance hurdles and regulatory risks | Limits innovation appetite and risk tolerance |
| Opportunities | Unlocks new segments or untapped geographies | Creates white space for innovation and M&A | Opens new use cases and shifts consumer preferences | Policy shifts may offer strategic advantages | Sparks disruptive innovation and strategic alliances |
Drivers, Restraints and Opportunity Analysis
Drivers
- Demand for scalable and durable storage
- Growing need for fault-tolerant systems
- Adoption in cloud storage infrastructure
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Rising enterprise data generation volumes - The exponential growth of data generated by enterprises across sectors is fueling the demand for advanced storage protection technologies such as erasure coding. With businesses relying heavily on digital workflows, cloud platforms, IoT devices, and analytics engines, the volume of data that needs to be stored reliably and cost-effectively has soared. Erasure coding offers superior data durability and storage efficiency compared to traditional replication techniques.
Industries like finance, healthcare, and manufacturing are accumulating vast quantities of mission-critical data, making resilience to data loss and hardware failure a top priority. Erasure coding ensures that data can be reconstructed even in the event of multiple hardware failures, which is increasingly vital in multi-node and distributed environments. This capability is critical for meeting stringent business continuity and disaster recovery requirements.
As digital transformation accelerates and enterprise IT infrastructures grow more complex, there is heightened pressure to deploy fault-tolerant and scalable storage architectures. Erasure coding enables organizations to meet performance and capacity demands while optimizing total cost of ownership by reducing the storage overhead seen in traditional replication models.
The rise of hybrid and multi-cloud strategies also contributes to this trend, as organizations seek cross-platform consistency and seamless storage integration. In this context, erasure coding is emerging as a key solution for ensuring data availability across distributed cloud ecosystems while minimizing storage footprint and redundancy costs.
Restraints
- High computational resource requirements
- Latency issues in real-time operations
- Limited awareness among small enterprises
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Complexity of implementation and integration - Despite its technical advantages, the complexity of deploying erasure coding within enterprise systems remains a significant challenge. Unlike simple data replication strategies, erasure coding requires sophisticated mathematical computations and specialized software integration. This makes it harder for IT teams to deploy without in-depth domain expertise, especially in legacy or mixed-architecture environments.
Many organizations still operate with a blend of on-premise, private, and public cloud systems, which complicates the implementation of a unified erasure coding-based storage strategy. These systems often lack interoperability, requiring custom development, API configuration, and vendor coordination to achieve seamless functionality. This process can be time-consuming, resource-intensive, and prone to error without adequate planning and support.
Performance overheads introduced by erasure coding encoding/decoding algorithms can impact latency-sensitive applications such as high-frequency trading or real-time analytics. This necessitates the use of optimized hardware or acceleration frameworks, which not all organizations may be equipped to manage. Without such infrastructure upgrades, enterprises may experience suboptimal data throughput and increased operational complexity.
The learning curve and skills gap are further barriers to adoption. Organizations lacking trained personnel often rely on third-party vendors, which increases costs and dependency. These implementation hurdles may deter small to mid-sized enterprises from adopting erasure coding, delaying its widespread deployment despite its long-term benefits.
Opportunities
- Expansion of exascale data storage systems
- AI-driven storage optimization initiatives
- Emergence of hybrid cloud deployments
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Edge computing integration with data protection - The increasing adoption of edge computing is creating new opportunities for erasure coding in decentralized storage environments. As organizations process data closer to the source to reduce latency and bandwidth usage, there is a growing need for localized, fault-tolerant storage mechanisms. Erasure coding can address these needs by enabling resilient data protection in resource-constrained edge devices and micro data centers.
Deploying erasure coding at the edge helps ensure that even if one or more nodes fail, critical data remains recoverable and operations continue uninterrupted. This is particularly valuable in industries such as telecom, manufacturing, and smart cities, where edge computing is used for real-time decision-making. By reducing data redundancy while enhancing availability and fault tolerance, erasure coding provides a competitive edge in managing edge infrastructure effectively.
As edge computing evolves with AI and IoT integrations, the complexity and volume of data at the edge are expected to rise. This trend demands scalable and efficient data protection strategies that can adapt to distributed topologies. Erasure coding meets this demand by offering low-overhead, high-resilience data encoding techniques suited for fragmented and bandwidth-limited environments.
In the future, integrating erasure coding into containerized edge platforms and orchestration tools such as Kubernetes could enable automated, dynamic deployment of robust data storage mechanisms at scale. This opens new revenue streams for vendors and significantly enhances enterprise data resilience across the edge-to-core continuum.
Erasure Coding Market Competitive Landscape Analysis
Erasure Coding Market is becoming increasingly competitive as enterprises emphasize data protection and resilience. Market participants are focusing on innovation, growth, and collaboration to secure stronger positions. With over 40% of organizations integrating advanced storage methods, strategies centered on efficiency and reliability are defining the evolving market landscape.
Market Structure and Concentration
The market reflects moderate concentration, with leading vendors holding nearly 55% share. Smaller players are gaining visibility through partnerships and mergers that strengthen capabilities. As competition intensifies, differentiation rests on technological advancements, scalability, and service delivery. The concentration highlights strategic alignment toward cost efficiency and secure data expansion.
Brand and Channel Strategies
Vendors are refining strategies that leverage multi-channel distribution and brand positioning. Over 65% of providers now emphasize direct enterprise engagement and collaboration with cloud platforms. Enhanced customer reach and stronger partnerships are enabling better visibility. This shift reflects the increasing relevance of brand differentiation and targeted growth campaigns in the market.
Innovation Drivers and Technological Advancements
Innovation is at the core of the market, with nearly 70% of firms investing in technological advancements like AI-driven optimization. Vendors are enhancing solutions with faster processing, higher efficiency, and smarter strategies. Continuous innovation supports stronger resilience in data management. These drivers fuel competitive differentiation, creating momentum for accelerated growth across industries.
Regional Momentum and Expansion
Regional adoption is surging, with Asia-Pacific recording over 45% faster uptake compared to other regions. Strategic expansion into new territories highlights increasing demand for data security and partnerships. Enterprises are aligning strategies with regional compliance frameworks and digitalization goals. This momentum illustrates how collaboration and regional strength shape competitive positioning.
Future Outlook
The future outlook signals steady growth as enterprises prioritize resilience and data protection. With more than 60% of market participants planning broader expansion, innovation-led strategies remain central. Continuous technological advancements and evolving collaboration models will reinforce competitiveness. The market trajectory indicates sustained momentum supported by mergers, partnerships, and long-term investment in resilience.
Key players in Erasure Coding Market include;
- Hewlett Packard Enterprise
- Teradata Corporation
- Pure Storage
- Pivot3
- Oracle Corporation
- Nutanix
- NetApp
- Nephos Technologies
- Lenovo
- Huawei Technologies
- Hitachi
- Fujitsu
- Alphabet
- Dell Technologies
- IBM
In this report, the profile of each market player provides following information:
- Market Share Analysis
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Component
- Market Snapshot, By Application
- Market Snapshot, By Deployment Mode
- Market Snapshot, By Enterprise Size
- Market Snapshot, By End User
- Market Snapshot, By Region
- Erasure Coding Market Dynamics
- Drivers, Restraints and Opportunities
- Drivers
- Demand for scalable and durable storage
- Growing need for fault-tolerant systems
- Adoption in cloud storage infrastructure
- Rising enterprise data generation volumes
- Restraints
- High computational resource requirements
- Latency issues in real-time operations
- Limited awareness among small enterprises
- Complexity of implementation and integration
- Opportunities
- Expansion of exascale data storage systems
- AI-driven storage optimization initiatives
- Emergence of hybrid cloud deployments
- Edge computing integration with data protection
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Erasure Coding Market, By Component, 2021 - 2031 (USD Million)
- Software
- Hardware
- Services
- Erasure Coding Market, By Application, 2021 - 2031 (USD Million)
- Data Storage
- Data Backup & Recovery
- Big Data Analytics
- Cloud Storage
- Others
- Erasure Coding Market, By Deployment Mode, 2021 - 2031 (USD Million)
- On-Premises
- Cloud
- Erasure Coding Market, By Enterprise Size, 2021 - 2031 (USD Million)
- Small & Medium Enterprises
- Large Enterprises
- Erasure Coding Market, By End User, 2021 - 2031 (USD Million)
- BFSI
- Healthcare
- IT & Telecommunications
- Media & Entertainment
- Government
- Others
- Erasure Coding Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Erasure Coding Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape Analysis
- Company Profiles
- Hewlett Packard Enterprise
- Teradata Corporation
- Pure Storage
- Pivot3
- Oracle Corporation
- Nutanix
- NetApp
- Nephos Technologies
- Lenovo
- Huawei Technologies
- Hitachi
- Fujitsu
- Alphabet
- Dell Technologies
- IBM
- Company Profiles
- Analyst Views
- Future Outlook of the Market

