소프트웨어 정의 스토리지(SDS) : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the software-defined storage market size reached USD 24.27 billion in 2026 and is projected to climb to USD 75.03 billion by 2031, reflecting a 25.32% CAGR over the forecast horizon.

This report is Segmented by Storage Type (Block, File, Object, and More), Deployment Mode (On-Premises, Private Cloud, and More), Organisation Size (Small and Medium Enterprises, and Large Enterprises), End-User Industry (Banking Financial Services and Insurance, Telecom and Information Technology, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Software-Defined Storage Market Trends and Insights

Exponential Growth of Unstructured Data

The global datasphere expanded to a larger number of zettabytes in 2025, with most of the data comprising unstructured formats, such as video, sensor logs, and imaging files. Traditional scale-up arrays cannot ingest petabyte-per-month volumes economically, so enterprises are adopting horizontally scalable software-defined clusters that stripe metadata across key-value stores for linear capacity expansion. A trade-surveillance system, for example, archives 12 terabytes daily for MiFID II compliance at one-sixth the cost of block storage, thanks to S3 pricing of USD 0.004 per gigabyte-month. Manufacturers running computer-vision inspection pump 800 gigabytes of imagery per line per day and need parallel object writes that keep latency under 100 milliseconds. Healthcare entities that rely on HIPAA rules now automate retention in software-defined archives, reducing audit preparation time by 70%.

Cost-Advantaged Shift from Proprietary Arrays to Commodity Hardware

Proprietary arrays cost USD 8-15 per usable gigabyte, while software-defined deployments on x86 servers deliver capacity at USD 0.50-2.00, a 75-90% saving. Enterprises extend hardware life by repurposing depreciated compute nodes, postponing USD 2 million in refresh spend for each 10-petabyte estate. NVMe-over-Fabrics eliminates historical latency penalties, enabling distributed storage to match array IOPS density. Emerging ARM-based clusters in India and Indonesia cut power draw 40%, lowering the total cost of ownership by another 18% in high-tariff zones.

Integration Complexity with Legacy Storage Estates

Enterprises average 11 disparate storage systems, and migrating petabytes without downtime requires meticulous zoning and LUN mapping. Fibre Channel fabrics depend on proprietary controls that do not translate to NVMe-over-TCP, so protocol gateways add latency and become single points of failure. Legacy backup tools expect tape libraries, forcing virtual-tape emulation layers that dilute cloud economics. Financial institutions on IBM z/OS cannot simply swap FICON storage for x86 targets without recompiling decades-old channel programs. Chain-of-custody proof for data under legal hold further extends migration timelines by up to six months.

Other drivers and restraints analyzed in the detailed report include:

1. Hybrid and Multi-Cloud Adoption Demanding Storage Abstraction
2. AI and ML-Driven Autonomous Storage Management and Tiering
3. Shortage of Specialized SDS Skills and Organizational Change

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Object storage controlled 42.64% of the software-defined storage market share in 2025 and is forecast to grow at 26.22% CAGR on the back of S3 APIs that unify data lakes spanning on-premises and cloud buckets. The segment benefits from erasure coding that delivers eleven nines of durability at sub-USD 0.004 per gigabyte-month, reinforcing cost leadership. Block storage remains entrenched for latency-sensitive databases, integrating NVMe-over-TCP to push microsecond IOPS envelopes. File gateways layered on object back ends preserve SMB and NFS workflows for enterprise shares, broadening adoption in departmental use cases. Hyper-converged infrastructure weaves compute and storage on the same node, appealing to mid-market IT shops seeking turnkey installs. Regulatory influence steers healthcare toward object setups with WORM guarantees, while trading desks still pin core ledgers on block volumes to ensure predictable microsecond write response. The software-defined storage market size for object platforms is on track to double by 2031, supported by AI model training pipelines that demand parallel reads across thousands of GPUs. Vendors are adding GPU-direct protocols that bypass CPU copies and shave seconds off epoch times, further widening the gap with legacy arrays.

Object implementations now offer high-performance tiers using NVMe SSDs and low-cost HDD tiers in a single namespace, letting administrators define policies that age seldom-accessed logs automatically. MinIO and Ceph have shipped erasure-coding improvements that hit 90% storage efficiency on 16+4 layouts, narrowing the capacity overhead versus RAID 6. Meanwhile, cloud providers roll out single-zone turbo tiers offering sub-millisecond access for AI training, showing that object storage can satisfy both throughput and latency workloads. As enterprises adopt microservices, each service logs events directly to object buckets, eliminating the need for file systems and simplifying DevOps pipelines. Expect the software-defined storage market to see deeper convergence where object, file, and block semantics blend, driven by namespace virtualization that abstracts protocol differences.

Public cloud captured 55.83% revenue in 2025 as managed services removed procurement friction. Yet hybrid arrangements post a 26.55% CAGR because regulated sectors must keep certain data local while tapping cloud burst capacity. European banks pin primary copies on-premises for GDPR, then replicate anonymized sets to public clouds for fraud analytics, balancing compliance with scale. U.S. federal agencies lean on FedRAMP-authorized regions, but still maintain on-site replicas for continuity plans. Private clouds remain relevant among firms with sunk co-location investments, offering self-service portals that copy the hyperscale user experience. Air-gapped government networks deploy Ceph clusters for classified workloads, illustrating the role of sovereignty. Multi-cloud orchestration tools stitch policies across AWS, Azure, and Google, enabling failover without re-platforming. The software-defined storage market size tied to hybrid modes is projected to outpace pure public cloud spend beyond 2029 as organizations optimize placement for cost, latency, and regulation.

Technical innovation centers on bidirectional data mobility. Vendors now provide policy engines that snapshot on-premises VMware volumes and hydrate them natively into Amazon EBS or Azure Managed Disks. Cloud bursting for render farms has become routine, as studios spin up thousands of spot instances accessing the same object bucket. Disaster recovery RPOs have tightened to under 15 minutes through continuous-replication software that compresses and encrypts changed blocks before streaming them to target regions. Compliance audits cite immutable logs produced by software-defined platforms, reducing manual evidence collection cycles by 30%. Enterprises further adopt edge gateways that cache data locally in branch offices then migrate cold files to cloud archive tiers, reflecting a continuum rather than a binary choice between on-premises and public cloud. Consequently, the software-defined storage market continues its pivot from deployment silos to fluid data fabrics.

Complete Report Scope:

• By Storage Type
  • Block
  • File
  • Object
  • Hyper-converged Infrastructure
• By Deployment Mode
  • On-premises
  • Private Cloud
  • Public Cloud
  • Hybrid Cloud
• By Organisation Size
  • Small and Medium Enterprises
  • Large Enterprises
• By End-user Industry
  • Banking, Financial Services and Insurance (BFSI)
  • Telecom and Information Technology
  • Government and Public Sector
  • Healthcare and Life Sciences
  • Manufacturing
  • Media and Entertainment
  • Retail and e-Commerce
  • Other End-user Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • ASEAN
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America maintained 38.73% of 2025 revenue, buoyed by hyperscaler capital expenditure topping USD 180 billion and early Kubernetes CSI adoption that provisions persistent volumes in seconds. Federal agencies leverage FedRAMP-authorized clouds to slash data-center footprints by 50%. Canadian financial firms comply with PIPEDA by retaining customer data on-premises while analytics run in cloud sandboxes. Mexico's fintech hubs adopt software-defined storage for real-time payments and data residency mandates.

Asia-Pacific advances at 26.45% CAGR, driven by China's cybersecurity law, India's Digital Public Infrastructure, and ASEAN's 5G edge rollouts. Mainland replicas stay within national borders to meet sovereign-cloud rules. India's UPI processed 11.6 billion monthly transactions by December 2025, forcing horizontally scalable clusters. Japan's privacy act catalyzes hybrid deployment among manufacturers and hospitals. South Korean carriers host AR content caches at base stations, cutting latency to 8 milliseconds. ASEAN nations establish sovereign zones that insist on local replicas.

Europe tightens controls through GDPR and the Digital Operational Resilience Act, pushing automated data classification and immutable audit trails. Germany's BSI urges multi-region replicas within EU borders. The United Kingdom's NHS consolidates imaging archives, shrinking radiology report turnaround from 48 hours to 6 hours. France's Health Data Hub manages 120 petabytes for research while upholding CNIL privacy mandates. South America rides Brazil's LGPD and Argentina's data-protection laws, while Middle East programs under Vision 2030 spur hyperscale builds in Riyadh. Africa's growth accelerates as South African banks and Nigerian fintechs adopt cloud platforms compliant with POPIA.

1. Amazon Web Services, Inc.
2. Microsoft Corporation
3. International Business Machines Corporation
4. Dell Technologies Inc.
5. Hewlett Packard Enterprise Company
6. NetApp, Inc.
7. Huawei Technologies Co., Ltd.
8. Hitachi Vantara LLC
9. Pure Storage, Inc.
10. VMware, Inc.
11. Nutanix, Inc.
12. Oracle Corporation
13. Cisco Systems, Inc.
14. Fujitsu Limited
15. DataCore Software Corporation
16. Red Hat, Inc.
17. Scality SA
18. Cloudian, Inc.
19. Infinidat Ltd.
20. StarWind Software, Inc.
21. FalconStor Software, Inc.
22. Promise Technology, Inc.
23. StorPool Storage AD
24. MinIO, Inc.
25. Qumulo, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Exponential Growth of Unstructured Enterprise Data
  • 4.2.2 Cost-Advantaged Shift from Proprietary Arrays to Commodity Hardware
  • 4.2.3 Hybrid/Multi-Cloud Adoption Demanding Storage Abstraction
  • 4.2.4 AI/ML-Driven Autonomous Storage Management and Tiering
  • 4.2.5 Container/Kubernetes-Native Persistent Storage Needs
  • 4.2.6 Edge Computing and 5G Creating Low-Latency SDS Nodes
• 4.3 Market Restraints
  • 4.3.1 Integration Complexity with Legacy Storage Estates
  • 4.3.2 Shortage of Specialised SDS Skills and Organisational Change
  • 4.3.3 Performance Determinism Concerns for Latency-Sensitive Apps
  • 4.3.4 Fragmented Standards Increasing Vendor-Lock-In Risk
• 4.4 Indusy Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Storage Type
  • 5.1.1 Block
  • 5.1.2 File
  • 5.1.3 Object
  • 5.1.4 Hyper-converged Infrastructure
• 5.2 By Deployment Mode
  • 5.2.1 On-premises
  • 5.2.2 Private Cloud
  • 5.2.3 Public Cloud
  • 5.2.4 Hybrid Cloud
• 5.3 By Organisation Size
  • 5.3.1 Small and Medium Enterprises
  • 5.3.2 Large Enterprises
• 5.4 By End-user Industry
  • 5.4.1 Banking, Financial Services and Insurance (BFSI)
  • 5.4.2 Telecom and Information Technology
  • 5.4.3 Government and Public Sector
  • 5.4.4 Healthcare and Life Sciences
  • 5.4.5 Manufacturing
  • 5.4.6 Media and Entertainment
  • 5.4.7 Retail and e-Commerce
  • 5.4.8 Other End-user Industries
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 ASEAN
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Amazon Web Services, Inc.
  • 6.4.2 Microsoft Corporation
  • 6.4.3 International Business Machines Corporation
  • 6.4.4 Dell Technologies Inc.
  • 6.4.5 Hewlett Packard Enterprise Company
  • 6.4.6 NetApp, Inc.
  • 6.4.7 Huawei Technologies Co., Ltd.
  • 6.4.8 Hitachi Vantara LLC
  • 6.4.9 Pure Storage, Inc.
  • 6.4.10 VMware, Inc.
  • 6.4.11 Nutanix, Inc.
  • 6.4.12 Oracle Corporation
  • 6.4.13 Cisco Systems, Inc.
  • 6.4.14 Fujitsu Limited
  • 6.4.15 DataCore Software Corporation
  • 6.4.16 Red Hat, Inc.
  • 6.4.17 Scality SA
  • 6.4.18 Cloudian, Inc.
  • 6.4.19 Infinidat Ltd.
  • 6.4.20 StarWind Software, Inc.
  • 6.4.21 FalconStor Software, Inc.
  • 6.4.22 Promise Technology, Inc.
  • 6.4.23 StorPool Storage AD
  • 6.4.24 MinIO, Inc.
  • 6.4.25 Qumulo, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment