全球软体定义储存市场 - 2023-2030
市场调查报告书
商品编码
1360140

全球软体定义储存市场 - 2023-2030

Global Software Defined Storage Market - 2023-2030

出版日期: | 出版商: DataM Intelligence | 英文 204 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述 :

全球软体定义储存市场在2022年达到311亿美元,预计2030年将达到6,452亿美元,2023-2030年预测期间复合年增长率为35.8%。

在物联网、大资料和数位转型等趋势的推动下,资料呈指数级增长,催生了对灵活且可扩展的储存解决方案的需求。 SDS 使组织能够有效地管理和扩展其储存基础设施,以适应不断增长的资料量。 SDS 通常比传统储存系统便宜。随着数位经济的到来,资料已成为银行业日益重要的组成部分。

软体定义的基础设施和储存选择使跨国银行能够快速存取、分析和共享云端中的本地资料,从前台到后台运作。美国银行大约 85% 的存款是透过银行应用程式、ATM 和自动化流程进行的。到 2021 年 7 月初,超过 70% 的美国银行客户(包括 72% 的消费者和小型企业客户)将积极利用数位管道来满足他们的所有需求。

到 2022 年,亚太地区将占全球软体定义资料中心市场的份额不到 1/4,预计将成为成长最快的地区。随着网路使用者数量的不断增加,该地区云端储存的采用预计将迅速发展。根据安永印度 2022 年分析,67% 的大型组织已扩大云端使用,39% 的中型企业已开始云端之旅,38% 的小型企业已开始云端之旅。

动态:

技术进步

个人和组织产生的资料呈指数级增长,需要更先进的储存解决方案。 SDS 提供可扩展性来适应这些不断增长的资料量。虚拟化技术和云端运算的广泛采用推动了对灵活且可扩展的储存解决方案的需求,而SDS 提供了这些解决方案,这些因素推动了市场的发展。

例如,2023 年 9 月 19 日,希捷科技针对媒体和娱乐 (M&E) 组织推出了 Exos Corvault 5U84 海量储存系统,该解决方案旨在透过延长硬碟的使用寿命来帮助减少碳排放和营运成本。它可以将软体定义资料中心架构中CPU、RAM和网路资源的整体功耗降低高达50%。

线上支付的采用率不断上升

随着越来越多的消费者和企业转向线上支付方式,数位交易量大幅增加,这种成长需要强大的资料储存解决方案来处理线上支付产生的大型资料集。线上支付交易涉及敏感的财务资讯。监管机构要求严格的资料安全和合规措施。 SDS 在资料加密、存取控制和合规框架方面提供了灵活性,使其成为保护支付资料的有吸引力的选择。

印度储备银行的数位支付指数衡量该国支付数位化的程度。 2022 年 9 月,RBI-DPI 从同年 3 月的 349.30 跃升至 377.46,该指数的成长反映了印度支付基础设施和支付绩效的显着成长。金融机构、支付服务提供者和印度储备银行本身依靠先进的资料储存和分析解决方案来有效处理不断增长的数位支付生态系统。

复杂的流程和基础设施相容性问题

实施软体定义储存是一个复杂的过程,尤其是对于 IT 专业知识有限的组织而言。管理软体定义的储存解决方案需要一定程度的技能和知识。由于额外的抽象层,SDS 解决方案可能会带来效能开销,这可能会影响 I/O 延迟和吞吐量,特别是在高效能环境中。

并非所有旧硬体和储存系统都与 SDS 解决方案相容。组织可能需要投资新硬体才能充分利用 SDS 的优势。 SDS 被设计为可扩展的,但根据所选的 SDS 解决方案、硬体和网路基础设施,仍可能存在实际限制。一些 SDS 解决方案可能会造成供应商锁定,使切换到不同供应商或将资料迁移到其他平台变得困难。

目录

第 1 章:方法与范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章:定义与概述

第 3 章:执行摘要

  • 按组件分類的片段
  • 按服务摘录
  • 按组织规模分類的片段
  • 最终使用者的片段
  • 按地区分類的片段

第 4 章:动力学

  • 影响因素
    • 司机
      • 技术进步
      • 线上支付的采用率不断上升
    • 限制
      • 复杂的流程和基础设施相容性问题
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析
  • 俄乌战争影响分析
  • DMI 意见

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆发前的情景
    • 新冠疫情期间的情景
    • 新冠疫情后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商策略倡议
  • 结论

第 7 章:按组件

  • 软体
  • 服务
  • 硬体

第 8 章:按服务

  • 培训与咨询
  • 整合部署
  • 支援与维护
  • 管理服务

第 9 章:按组织规模

  • 中小企业
  • 大型企业

第 10 章:最终用户

  • 银行、金融和保险
  • 资讯科技和电信
  • 卫生保健
  • 教育
  • 零售
  • 其他的

第 11 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 俄罗斯
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 12 章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 13 章:公司简介

  • IBM Corporation
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • 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:附录

简介目录
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