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Object Based Storage Market Size, Share, Growth & Industry Analysis, By Deployment (Cloud-based, On-premises), By Type (Private, Public, Hybrid), By Architecture (Single-node, Multi-node), By Organization, By Vertical, and Regional Analysis, 2025-2032
Pages: 210 | Base Year: 2024 | Release: July 2025 | Author: Versha V.
Key strategic points
Object-based storage is a scalable data storage architecture that organizes information into discrete units called objects, each comprising the data itself, a unique identifier, and rich metadata. This architecture is purpose-built for managing large volumes of unstructured data, including media content, system backups, IoT data, emails, and system logs. The market encompasses a wide range of solutions and services deployed across public cloud, private cloud, and hybrid environments.
The global object based storage market size was valued at USD 3,204.4 million in 2024 and is projected to grow from USD 3,540.5 million in 2025 to USD 7,523.5 million by 2032, exhibiting a CAGR of 11.14% during the forecast period.
This growth is attributed to the rapid increase in unstructured data generated from sources such as IoT devices, video content, social media, and backups, which is prompting organizations to adopt scalable object storage solutions for efficient data management.
The market is further driven by the growing use of AI and analytics on stored objects as enterprises increasingly extract insights from metadata to support automation and data-driven decision-making across key sectors.
Major companies operating in the object based storage industry are Dell Inc., Hewlett Packard Enterprise Development LP, Pure Storage Inc., Amazon Web Services Inc., Huawei Cloud Computing Technologies Co. Ltd., Microsoft, Hitachi Vantara LLC, Fujitsu, Google LLC, MinIO Inc., Wasabi Technologies, Backblaze, Cloudian Inc., IBM Corporation, and Nutanix Inc.
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Segmentation |
Details |
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By Deployment |
Cloud-based, On-premises |
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By Type |
Private, Public, Hybrid |
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By Architecture |
Single-node, Multi-node, Hyper-converged |
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By Organization |
Large Enterprises, Small & Medium Enterprises |
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By Vertical |
IT and Telecommunications, BFSI, Government & Defense, Healthcare, Media and Entertainment, Retail & E-commerce, Manufacturing, Energy & Utilities, Others |
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By Region |
North America: U.S., Canada, Mexico |
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Europe: France, UK, Spain, Germany, Italy, Russia, Rest of Europe |
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Asia-Pacific: China, Japan, India, Australia, ASEAN, South Korea, Rest of Asia-Pacific |
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Middle East & Africa: Turkey, U.A.E., Saudi Arabia, South Africa, Rest of Middle East & Africa |
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South America: Brazil, Argentina, Rest of South America |
Based on region, the global market has been classified into North America, Europe, Asia Pacific, the Middle East & Africa, and South America.
North America accounted for 34.09% share of the object based storage market in 2024, with a valuation of USD 1,092.2 million. The dominance is attributed to the increasing deployment of hybrid cloud infrastructures in the region that support file and object storage capabilities.
Enterprises in the region are adopting solutions that enable consistent data access across cloud and on-premises environments while ensuring performance at scale to meet the growing demand for reliability and operational continuity.
This region is registering strong interest in technologies that manage unstructured data efficiently and support enterprise continuity through built-in disaster recovery and advanced data protection.
The market is also benefiting from rising investment activity by private players aimed at expanding innovation in storage software platforms. Investors in the region are supporting companies that offer solutions with integrated orchestration tools and immutable storage to meet enterprise needs for secure and resilient data management, thereby contributing to the market expansion in the region.
The object based storage industry in Asia Pacific is set to grow at a robust CAGR of 12.17% over the forecast period. This growth is attributed to the rising demand for scalable and high-performance storage solutions across the region.
Key players in the region are actively investing in digital transformation initiatives that require efficient storage infrastructure to manage increasing volumes of unstructured data. The market is also registering the adoption of AI-driven applications that generate continuous data streams, reinforcing the need for flexible storage architectures.
The market is further expanding as enterprises prioritize cost-effective solutions that support both frequent and infrequent data access.
Regional distributors and technology providers are forming strategic partnerships to enhance access to advanced storage offerings. This collaboration is enabling faster deployment of object-based storage systems across Asia Pacific, contributing to the market growth in the region.
The market is expanding, due to the widespread adoption of cloud services by governments, which are prompting the demand for object-based storage solutions that manage and secure large volumes of unstructured government data.
Rapid Growth of Unstructured Data
The rapid growth of unstructured data is driving the object-based storage solutions market. Organizations across various sectors are generating massive volumes of data from sources such as video surveillance, IoT sensors, digital imaging, social media platforms, and business applications.
Conventional storage systems often lack the capacity, adaptability, and affordability to handle this surge efficiently, resulting in slower performance and increased operational expenses.
Object-based storage addresses these challenges by offering a highly scalable architecture that enables efficient data management, long-term retention, and seamless access. Its metadata-driven structure further supports advanced analytics, compliance, and archival use cases in increasingly data-centric environments.
Limited performance for transactional workloads
A major challenge limiting the adoption of object-based storage in transactional environments is its performance constraint which results from its design focus on scalability over low-latency access. Object storage is not optimized for rapid read and write operations, making it less suitable for real-time applications that require consistent performance.
This limitation reduces its effectiveness in handling high-frequency transactions and often leads enterprises to rely on alternative or hybrid storage solutions to meet the demands of latency-sensitive workloads.
Object based storage market players are implementing hybrid storage architectures that integrate object storage with high-performance block or file systems to support latency-sensitive workloads.
They are also incorporating caching mechanisms and performance optimization layers to enhance data access speeds within object storage environments for supporting latency-sensitive applications.
Additionally, market players are adopting software-defined storage solutions to gain greater control and flexibility in managing performance requirements. These strategies allow enterprises to overcome performance limitations while preserving the scalability and cost-efficiency of object-based storage.
Growing use of AI and analytics on stored objects
The growing use of AI and analytics on stored objects is transforming the way enterprises manage and extract value from unstructured data. Object storage platforms are supporting this shift through scalable architectures and metadata-driven structures that facilitate efficient data analysis and classification.
Organizations are integrating AI tools within storage environments to generate insights, improve workflows, and enable automation. This shift is gaining momentum in healthcare finance and media where fast data interpretation drives innovation and informed decision-making.
Major players in the object based storage market are actively expanding their portfolios to address the evolving needs of AI-driven research and high-performance computing workloads. They are integrating all-flash file and object storage platforms within scalable architectures to enable comprehensive data management across both hot and cold tiers.
These integrated solutions are handling the growing volume of unstructured data generated through simulations, advanced analytics, and scientific applications. Providers are also prioritizing seamless data access, high-speed processing, and optimized storage efficiency to support increasingly complex and data-intensive environments.
Additionally, market participants are developing unified infrastructures that accommodate active and archival data to allow organizations to scale performance and capacity in line with ongoing research and computational demands from data-intensive industries.
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