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表紙：ソフトウェア定義ストレージの世界市場-2023年～2030年
市場調査レポート
商品コード
1360140

ソフトウェア定義ストレージの世界市場-2023年～2030年

Global Software Defined Storage Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 204 Pages | 納期: 約2営業日

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ソフトウェア定義ストレージの世界市場-2023年～2030年
出版日: 2023年10月11日
発行: DataM Intelligence
ページ情報: 英文 204 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要：

世界のソフトウェア定義ストレージ市場は、2022年に311億米ドルに達し、2023-2030年の予測期間中にCAGR 35.8%で成長し、2030年には6,452億米ドルに達すると予測されています。

IoT、ビッグデータ、デジタルトランスフォーメーションなどの動向によるデータの急激な増加により、柔軟でスケーラブルなストレージソリューションに対する需要が生まれています。SDSを利用することで、企業はストレージインフラを効率的に管理・拡張し、データ量の増加に対応することができます。SDSは、従来のストレージシステムよりも安価であることが多いです。デジタル経済の到来により、データは銀行業界にとってますます重要な要素となっています。

ソフトウェア定義インフラとストレージの選択により、多国籍銀行は、フロントオフィスからバックオフィスまで、クラウド上でオンプレミスのデータに迅速にアクセスし、分析し、共有することができます。バンク・オブ・アメリカでは、預金の約85%がバンキング・アプリ、ATM、自動化されたプロセスを通じて行われています。2021年7月初旬までに、バンク・オブ・アメリカの顧客の70％以上（消費者および中小企業顧客の72％）が、あらゆるニーズにデジタルチャネルを積極的に活用するようになります。

アジア太平洋地域が2022年には世界のソフトウェア定義データセンター市場の1/4弱を占め、最も急成長することが予想されます。インターネット利用者の増加に伴い、同地域のクラウドストレージ導入は急速に発展すると予想されます。EY India 2022の分析によると、大企業の67%がクラウドの利用を拡大し、中堅企業の39%がクラウドの旅を始め、中小企業の38%がクラウドの旅を始めています。

ダイナミクス：

技術進歩

個人や組織が生成するデータの急激な増加により、より高度なストレージソリューションが必要とされています。仮想化技術とクラウドコンピューティングの普及が、SDSが提供する柔軟でスケーラブルなストレージソリューションの必要性を高めており、こうした要因が市場を後押ししています。

たとえば、シーゲイト・テクノロジーは2023年9月19日、メディア・エンターテイメント（M&E）企業をターゲットにしたExos Corvault 5U84大容量ストレージシステムを発表しました。このソリューションは、ドライブの耐用年数を延ばすことで、二酸化炭素排出量と運用コストの削減に貢献することを目的としています。また、ソフトウェア定義データセンターのアーキテクチャにおけるCPU、RAM、ネットワークリソースの消費電力を最大50%削減することができます。

オンライン決済の普及

より多くの消費者や企業がオンライン決済に移行するにつれ、デジタル決済の件数が大幅に増加しており、この増加により、オンライン決済で生成される大規模なデータセットを処理できる堅牢なデータストレージ・ソリューションが必要とされています。オンライン決済取引には、機密性の高い金融情報が含まれます。規制機関は、厳格なデータセキュリティとコンプライアンス対策を求めています。SDSは、データの暗号化、アクセス制御、コンプライアンスフレームワークに柔軟性を備えており、決済データの安全性を確保する上で魅力的な選択肢となっています。

インド準備銀行のデジタル決済指数は、国内の決済のデジタル化の程度を測定するものです。2022年9月のRBI-DPIは377.46と、同年3月の349.30から急上昇しており、この指数の上昇は、インド全土における決済インフラと決済実績の著しい成長を反映しています。金融機関、決済サービスプロバイダー、インド準備銀行自身は、拡大するデジタル決済エコシステムを効率的に処理するため、高度なデータストレージと分析ソリューションに依存しています。

複雑なプロセスとインフラの互換性の問題

ソフトウェア定義ストレージの導入は、特にITの専門知識が乏しい組織にとって複雑なプロセスです。ソフトウェア定義ストレージソリューションの管理には、一定レベルのスキルと知識が必要です。SDSソリューションは、抽象化のレイヤーを追加するためにパフォーマンスのオーバーヘッドをもたらす可能性があり、これは特にハイパフォーマンス環境において、I/Oレイテンシとスループットに影響を与える可能性があります。

すべてのレガシーハードウェアやストレージシステムがSDSソリューションと互換性があるわけではありません。組織は、SDSのメリットを十分に活用するために新しいハードウェアに投資する必要があるかもしれません。SDSはスケーラブルに設計されていますが、選択したSDSソリューション、ハードウェア、ネットワークインフラによっては、現実的な限界がある場合があります。SDSソリューションによってはベンダーロックインが発生し、異なるベンダーへの乗り換えや他のプラットフォームへのデータ移行が困難になる場合があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 技術進歩
      • オンライン決済の普及
    • 抑制要因
      • 複雑なプロセスとインフラの互換性の問題
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 コンポーネント別

  • ソフトウェア
  • サービス
  • ハードウェア

第8章 サービス別

  • トレーニング・コンサルティング
  • インテグレーション・展開
  • サポート・整備
  • マネージドサービス

第9章 組織規模別

  • 中小企業
  • 大企業

第10章 エンドユーザー別

  • 銀行、金融、保険
  • IT・通信
  • 医療
  • 教育
  • 小売業
  • その他

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋
  • 中東・アフリカ

第12章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第13章 企業プロファイル

  • IBM Corporation
    • 企業概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • NetApp Inc.
  • Dell Technologies Inc.
  • Citrix Systems, Inc.
  • Fujitsu Limited
  • Seagate Technology PLC
  • International Business Machines Corporation
  • Hewlett Packard Enterprise Co
  • Redapt
  • Scality

第14章 付録

目次
Product Code: ICT2082

Overview:

Global Software Defined Storage Market reached US$ 31.1 billion in 2022 and is expected to reach US$ 645.2 billion by 2030, growing with a CAGR of 35.8% during the forecast period 2023-2030.

The exponential growth of data, driven by trends like IoT, big data and digital transformation, has created a demand for flexible and scalable storage solutions. SDS allows organizations to efficiently manage and scale their storage infrastructure to accommodate growing data volumes. SDS is frequently less expensive than traditional storage systems. With the advent of the digital economy, data has become an increasingly important component of the banking industry.

Software-defined infrastructure and storage choices enable multinational banks to swiftly access, analyse and share on-premises data in the cloud, from front to back office operations. Approximately 85% of deposits at Bank of America are made via banking apps, ATMs and automated processes. Over 70 percent of Bank of America clients, comprising 72% of consumer and small business clients, will be actively utilising digital channels for all of their needs by the beginning of July 2021.

With less than 1/4th of the global software-defined data centre market in 2022, Asia-Pacific is expected to be the fastest growing region. With the increasing number of users of the internet, the region's adoption of cloud storage is expected to develop rapidly. According to an EY India 2022 analysis, 67% of large organisations have expanded cloud usage, 39% of medium-sized businesses have begun their cloud trip and 38% of small businesses have started their cloud journey.

Dynamics:

Advancement in Technologies

The exponential growth of data generated by individuals and organizations necessitates more advanced storage solutions. SDS offers scalability to accommodate these increasing data volumes.The widespread adoption of virtualization technologies and cloud computing has driven the need for flexible and scalable storage solutions, which SDS provides and these factors boosts the market.

For instance, on 19 September 2023, Seagate Technology introduced its Exos Corvault 5U84 mass storage system, targeting media and entertainment (M&E) organizations and this solution aims to help reduce carbon emissions and operating costs by extending the service life of drives. It can reduce the overall power consumption of CPU, RAM and networking resources in software-defined data center architecture by up to 50%.

Rising Adoption of Online Payments

As more consumers and businesses transition to online payment methods, there is a substantial increase in the volume of digital transactions and this growth necessitates robust data storage solutions capable of handling large datasets generated by online payments. Online payment transactions involve sensitive financial information. Regulatory bodies require strict data security and compliance measures. SDS offers flexibility in data encryption, access controls and compliance frameworks, making it an attractive choice for securing payment data.

The Reserve Bank of India's Digital Payments Index measures the extent of digitization of payments in the country. In September 2022, the RBI-DPI jumped to 377.46, up from 349.30 in March of the same year and this increase in the index reflects significant growth in payment infrastructure and payment performance across India. Financial institutions, payment service providers and the Reserve Bank of India itself rely on advanced data storage and analytics solutions to handle the growing digital payment ecosystem efficiently.

Complex Process and Infrastructure Compatibility Issues

Implementing software defined storage is a complex process, especially for organizations with limited IT expertise. Managing software-defined storage solutions requires a certain level of skill and knowledge. SDS solutions may introduce performance overhead due to the additional layer of abstraction and this can impact I/O latency and throughput, particularly in high-performance environments.

Not all legacy hardware and storage systems are compatible with SDS solutions. Organizations may need to invest in new hardware to fully leverage SDS benefits. SDS is designed to be scalable, there can still be practical limits based on the chosen SDS solution, hardware and network infrastructure. Some SDS solutions may create vendor lock-in, making it challenging to switch to different vendors or migrate data to other platforms.

Segment Analysis:

The global software defined storage market is segmented based on component, service organization size, end-user and region.

Flexibility of Software to Add or Remove Capacity Drive Software Solutions Growth

Software solutions are expected to cover about 1/3rd of the global software defined storage market during the forecast period 2023-2030. SDS solutions offer scalability that can easily adapt to changing storage requirements. Organizations can add or remove storage capacity without significant disruptions, making it suitable for businesses of all sizes. SDS often utilizes commodity hardware and allows organizations to make the most of their existing infrastructure and this reduces the need for expensive, proprietary storage solutions.

For instance, on 22 August 2023, Tintri introduced a software-only version of its VMstore product, allowing customers more flexibility in storage solutions. The VMstore software, now called Tintri Cloud Engine (TCE), is decoupled from Tintri's hardware, making it available for use independently. Additionally, Tintri offers VMstore through a managed infrastructure service called Tintri Cloud Platform (TCP).

Geographical Penetration:

Rising Growth and Evolution of Data Solutions in Various Industries in North America

North America is the largest region in the global software defined storage market covering about 1/3rd of the market. The exponential growth of data in various industries necessitates more flexible and scalable storage solutions, which SDS can provide. North American enterprises are increasingly adopting hybrid and multi-cloud strategies. SDS facilitates seamless data management across on-premises and cloud environments.

For instance, on 22 August 2023, Veritas Technologies announced the evolution of its InfoScale solution, a software-defined infrastructure availability solution, for container environments and this development enables customers to deploy InfoScale as containers in native Kubernetes platforms like Red Hat OpenShift. The evolution will start with InfoScale 8, which will include features like software-defined persistent volume storage classes and static persistent storage provisioning container lifecycle management.

Competitive Landscape

The major global players in the market include: IBM Corporation, NetApp Inc., Dell Technologies Inc., Citrix Systems, Inc., Fujitsu Limited, Seagate Technology PLC, International Business Machines Corporation, Hewlett Packard Enterprise Co, Redapt and Scality.

COVID-19 Impact Analysis:

The shift to remote work and the need for secure, accessible data storage and sharing, the demand for flexible SDS solutions has surged. Organizations have sought SDS to ensure that remote employees can access critical data and applications seamlessly. Many organizations experienced a significant increase in data volume during the pandemic and this growth was driven by remote collaboration tools, video conferencing and online transactions. SDS solutions needed to scale rapidly to accommodate this data influx.

The pandemic underscored the importance of data protection and disaster recovery. SDS solutions with robust backup, replication and recovery capabilities became essential as organizations aimed to ensure business continuity and data resilience. Some organizations accelerated their adoption of hybrid and multi-cloud strategies to enhance flexibility and resilience. SDS solutions that could seamlessly extend across on-premises and cloud environments gained traction.

Economic uncertainties prompted organizations to focus on cost optimization. SDS, with its ability to optimize storage resources and reduce hardware costs, became an attractive option for organizations looking to cut IT expenses. As remote work introduced new security challenges, SDS solutions that incorporated robust security features, such as encryption and access controls, gained importance.

AI Impact

AI can monitor and analyze storage performance in real time, making adjustments to optimize performance for specific workloads automatically and this ensures that critical applications receive the necessary storage resources. AI can help manage the scalability of SDS solutions by predicting future storage needs based on historical data growth patterns, this allows organizations to plan for capacity expansion proactively.

AI-driven auto-tiering systems can automatically move data between different storage tiers based on usage patterns and performance requirements, this ensures that critical data is stored on the fastest storage media while less critical data is moved to slower, more cost-effective storage. AI-powered search and analytics capabilities enable users to find specific data within vast storage repositories quickly and this is especially valuable in scenarios where organizations deal with massive volumes of unstructured data.

For instance, on 21 May 2022, IBM introduced the Spectrum Scale Enterprise Storage Server (ESS) 3500, a software-defined storage device designed to work with Nvidia's DGX dense compute servers for AI training. The ESS 3500 boasts a 2U design with 24 drive bays, a maximum raw capacity of 368TB and can achieve up to 1PB through LZ4 compression. According to IBM, Continental used the ESS 3500 to improve AI training times for self-driving vehicles by up to 70%.

Russia- Ukraine War Impact

The ongoing conflict has created geopolitical uncertainty in the region and this uncertainty can affect the supply chain and the availability of hardware components, including servers and storage devices, which are essential for deploying SDS solutions. Organizations may face challenges in sourcing hardware from the region or may seek alternative suppliers. Many international organizations operate data centers and IT infrastructure in Eastern Europe, including Ukraine.

Geopolitical conflicts can lead to changes in data security and compliance regulations. Organizations using SDS solutions to store sensitive data may need to reassess their compliance strategies and ensure that data remains secure and compliant with evolving regulations. The war may disrupt the availability of IT talent in the region. Organizations relying on local IT expertise for managing and maintaining SDS solutions may face challenges in retaining skilled professionals or may need to consider alternative talent sources.

By Component

  • Software
  • Services
  • Hardware

By Service

  • Training and Consulting
  • Integration and Deployment
  • Support and Maintenance
  • Managed Services

By Organization Size

  • Small and Medium-Sized Enterprises
  • Large Enterprises

By End-User

  • Banking, Financial and Insurance
  • IT and Telecom
  • Healthcare
  • Education
  • Retail
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In 18 November 2021, DataCore Software's acquisition of MayaData, the original developer of OpenEBS and MayaStor is a significant move in the software-defined storage (SDS) space. OpenEBS is a Kubernetes-native CAS solution, making it well-suited for cloud-native applications and microservices architectures.
  • In March 2022, Nvidia plans to integrate Excelero's technology into its enterprise software stack. This integration will likely enhance Nvidia's data storage and processing capabilities, aligning with its focus on high-performance computing (HPC), AI and data analytics solutions.
  • In October 2021, Exxact Corporation and SoftIron announced their partnership to provide software-defined storage solutions with a focus on making SDS simple and accessible for modern enterprises. SoftIron's flagship HyperDrive enterprise storage solution is designed to optimize the performance of Ceph, a leading open-source SDS platform known for its durability, resilience and scalability.

Why Purchase the Report?

  • To visualize the global software defined storage market segmentation based on component, service organization size, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of software defined storage market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global software defined storage market report would provide approximately 69 tables, 70 figures and 204 pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Service
  • 3.3. Snippet by Organization Size
  • 3.4. Snippet by End-User
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Advancement in Technologies
      • 4.1.1.2. Rising Adoption of Online Payments
    • 4.1.2. Restraints
      • 4.1.2.1. Complex Process and Infrastructure Compatibility Issues
    • 4.1.3. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Software*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services
  • 7.4. Hardware

8. By Service

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
    • 8.1.2. Market Attractiveness Index, By Service
  • 8.2. Training and Consulting*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Integration and Deployment
  • 8.4. Support and Maintenance
  • 8.5. Managed Services

9. By Organization Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 9.1.2. Market Attractiveness Index, By Organization Size
  • 9.2. Small and Medium-Sized Enterprises*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Large Enterprises

10. By End-User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.1.2. Market Attractiveness Index, By End-User
  • 10.2. Banking, Financial and Insurance*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. IT and Telecom
  • 10.4. Healthcare
  • 10.5. Education
  • 10.6. Retail
  • 10.7. Others

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.7.1. U.S.
      • 11.2.7.2. Canada
      • 11.2.7.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.7.1. Germany
      • 11.3.7.2. UK
      • 11.3.7.3. France
      • 11.3.7.4. Italy
      • 11.3.7.5. Russia
      • 11.3.7.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.7.1. Brazil
      • 11.4.7.2. Argentina
      • 11.4.7.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.7.1. China
      • 11.5.7.2. India
      • 11.5.7.3. Japan
      • 11.5.7.4. Australia
      • 11.5.7.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Service
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Company Profiles

  • 13.1. IBM Corporation*
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio and Description
    • 13.1.3. Financial Overview
    • 13.1.4. Key Developments
  • 13.2. NetApp Inc.
  • 13.3. Dell Technologies Inc.
  • 13.4. Citrix Systems, Inc.
  • 13.5. Fujitsu Limited
  • 13.6. Seagate Technology PLC
  • 13.7. International Business Machines Corporation
  • 13.8. Hewlett Packard Enterprise Co
  • 13.9. Redapt
  • 13.10. Scality

LIST NOT EXHAUSTIVE

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us