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市場調查報告書

商品編碼

1360140

全球軟體定義儲存市場 - 2023-2030

Global Software Defined Storage Market - 2023-2030

出版日期: 2023年10月11日 | 出版商:

DataM Intelligence | 英文 204 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述：

全球軟體定義儲存市場在2022年達到311億美元，預計2030年將達到6,452億美元，2023-2030年預測期間年複合成長率為35.8%。

在物聯網、大資料和數位轉型等趨勢的推動下，資料呈指數級成長，催生了對靈活且可擴展的儲存解決方案的需求。 SDS 使組織能夠有效地管理和擴展其儲存基礎設施，以適應不斷成長的資料量。 SDS 通常比傳統儲存系統便宜。隨著數位經濟的到來，資料已成為銀行業日益重要的組成部分。

軟體定義的基礎設施和儲存選擇使跨國銀行能夠快速存取、分析和共享雲端中的本地資料，從前台到後台運作。美國銀行大約 85% 的存款是透過銀行應用程式、ATM 和自動化流程進行的。到 2021 年 7 月初，超過 70% 的美國銀行客戶（包括 72% 的消費者和小型企業客戶）將積極利用數位管道來滿足他們的所有需求。

到 2022 年，亞太地區將佔全球軟體定義資料中心市場的佔有率不到 1/4，預計將成為成長最快的地區。隨著網路使用者數量的不斷增加，該地區雲端儲存的採用預計將迅速發展。根據安永印度 2022 年分析，67% 的大型組織已擴大雲端使用，39% 的中型企業已開始雲端之旅，38% 的小型企業已開始雲端之旅。

動態：

技術進步

個人和組織產生的資料呈指數級成長，需要更先進的儲存解決方案。 SDS 提供可擴展性來適應這些不斷成長的資料量。虛擬化技術和雲端運算的廣泛採用推動了對靈活且可擴展的儲存解決方案的需求，而SDS 提供了這些解決方案，這些因素推動了市場的發展。

例如，2023 年 9 月 19 日，希捷科技針對媒體和娛樂 (M&E) 組織推出了 Exos Corvault 5U84 海量儲存系統，該解決方案旨在透過延長硬碟的使用壽命來幫助減少碳排放和營運成本。它可以將軟體定義資料中心架構中CPU、RAM和網路資源的整體功耗降低高達50%。

線上支付的採用率不斷上升

隨著越來越多的消費者和企業轉向線上支付方式，數位交易量大幅增加，這種成長需要強大的資料儲存解決方案來處理線上支付產生的大型資料集。線上支付交易涉及敏感的財務資訊。監管機構要求嚴格的資料安全和合規措施。 SDS 在資料加密、存取控制和合規框架方面提供了靈活性，使其成為保護支付資料的有吸引力的選擇。

印度儲備銀行的數位支付指數衡量該國支付數位化的程度。 2022 年 9 月，RBI-DPI 從同年 3 月的 349.30 躍升至 377.46，該指數的成長反映了印度支付基礎設施和支付績效的顯著成長。金融機構、支付服務提供者和印度儲備銀行本身依靠先進的資料儲存和分析解決方案來有效處理不斷成長的數位支付生態系統。

複雜的流程和基礎設施相容性問題

實施軟體定義儲存是一個複雜的過程，尤其是對於 IT 專業知識有限的組織而言。管理軟體定義的儲存解決方案需要一定程度的技能和知識。由於額外的抽象層，SDS 解決方案可能會帶來效能開銷，這可能會影響 I/O 延遲和吞吐量，特別是在高效能環境中。

並非所有舊硬體和儲存系統都與 SDS 解決方案相容。組織可能需要投資新硬體才能充分利用 SDS 的優勢。 SDS 被設計為可擴展的，但根據所選的 SDS 解決方案、硬體和網路基礎設施，仍可能存在實際限制。一些 SDS 解決方案可能會造成供應商鎖定，使切換到不同供應商或將資料遷移到其他平台變得困難。

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

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