Cloud Native Storage Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, By Component (Solutions, Services), By Deployment (Private Cloud, Public Cloud), By Vertical (BFSI, Telecom & IT, Healthcare, Retail & Consumer Goods, Manufacturing, Government, Energy & Utilities, Media & Entertainment, Others), By Region & Competition, 2020-2030F

Market Overview

Global Cloud Native Storage Market was valued at USD 17.03 billion in 2024 and is expected to reach USD 54.28 billion by 2030 with a CAGR of 21.31% through 2030. Cloud Native Storage refers to storage systems designed specifically to integrate with cloud-native technologies such as containers, microservices, and orchestration platforms like Kubernetes.

Unlike traditional storage systems, cloud-native storage is flexible, scalable, and dynamic—designed to meet the needs of modern application development where workloads are distributed and require persistent, high-performance storage. It enables real-time data access, auto-scaling, and policy-driven data management, making it essential for DevOps, CI/CD pipelines, and agile software delivery in cloud-first environments.

The market is expected to witness robust growth due to the increasing shift of enterprises toward digital transformation and the widespread adoption of hybrid and multi-cloud strategies. As businesses migrate workloads from legacy systems to the cloud, they need storage architectures that can keep up with the pace of development and operations. Cloud-native storage addresses this by offering seamless integration with container platforms, enabling storage provisioning, backups, and failover with minimal manual intervention. The growth of AI/ML workloads, IoT, and real-time analytics is further fueling the need for storage that is high-throughput, distributed, and adaptable to new data patterns.

The market will continue to expand, driven by innovations in serverless computing, edge deployments, and the evolution of data sovereignty regulations. Cloud-native storage vendors are enhancing their offerings with AI-powered management, zero-trust security models, and cross-cloud compatibility. This makes it easier for organizations to manage complex data environments while maintaining performance and compliance. As cloud-native architectures become the foundation for global digital operations, cloud-native storage will play a critical role in enabling scalable, resilient, and efficient infrastructure across industries.

Key Market Drivers

Rapid Adoption of Containerized Applications Across Enterprises

The exponential adoption of containerization platforms such as Kubernetes and Docker has created a demand for storage systems that are dynamic, scalable, and natively integrated into these environments. Traditional storage systems often lack the flexibility and performance required by containerized workloads, prompting organizations to adopt cloud native storage that offers persistent volumes, dynamic provisioning, and automation. This is especially important in industries undergoing digital transformation, where time-to-market, infrastructure scalability, and continuous deployment pipelines are critical.

As containerized environments become the backbone of modern enterprise IT strategies, the need for cloud native storage will increase proportionally. Enterprises now demand infrastructure that matches the lifecycle of microservices and distributed applications. Cloud native storage solutions offer seamless integration with orchestration layers and support for multitenancy, availability zones, and redundancy, making them an integral component of scalable application architecture. As of 2024, more than 85% of organizations running containers in production environments have either implemented or plan to adopt cloud native storage systems. This insight is drawn from aggregated Kubernetes user reports, Helm chart downloads, and GitHub operator installations, reflecting how embedded persistent, scalable storage has become in cloud-native development and deployment workflows across global enterprises.

Expansion of Hybrid and Multi-Cloud Deployment Models

The rise of hybrid and multi-cloud strategies has increased the complexity of data management, creating demand for storage systems that are both portable and resilient across multiple cloud environments. Cloud native storage enables seamless data mobility and policy-based replication between on-premises systems and public clouds. It allows developers and infrastructure teams to build, deploy, and scale applications across environments without compromising storage performance or consistency.

Organizations are increasingly seeking vendor-neutral storage solutions that support abstraction layers across cloud environments, minimizing lock-in and improving flexibility. Cloud native storage platforms are designed to offer unified storage APIs, self-service provisioning, and cross-cloud volume management. These features are essential in achieving a resilient, high-availability infrastructure in today’s distributed business landscape. Enterprise infrastructure telemetry from Kubernetes environments in 2024 indicates that over 60% of production-grade clusters operate across two or more cloud platforms. This highlights the strategic push toward hybrid and multi-cloud deployments and reinforces the growing need for cloud native storage systems that support consistent performance, portability, and resilience across diverse infrastructure landscapes and cloud providers.

Surge in Real-Time Analytics and AI/ML Workloads

The proliferation of artificial intelligence and machine learning workloads, alongside real-time analytics, requires storage systems that can process vast volumes of data with minimal latency. Cloud native storage systems offer high throughput, parallel processing capabilities, and intelligent data tiering to support these demanding workloads. Unlike traditional storage architectures, they are optimized for performance-intensive operations, enabling faster training of models and real-time decision-making.

In sectors like healthcare, finance, and autonomous systems, the ability to process and store multimodal datasets at scale has become a business imperative. Cloud native storage offers automated data lifecycle management, inline compression, and support for modern file formats (e.g., Parquet, ORC), aligning storage capabilities with the dynamic needs of data science pipelines and analytics applications. System usage patterns from AI training environments show that AI workloads generate data at 10 times the rate of traditional applications. Between 2020 and 2024, storage I/O logs from AI model training pipelines revealed a tenfold increase in required storage capacity, driven by multimodal data, frequent model versioning, and the need for high-speed access to distributed data stores.

Growing Emphasis on Resilience, Availability, and Compliance

Businesses today require storage infrastructure that not only performs well but also meets strict requirements for uptime, fault tolerance, and regulatory compliance. Cloud native storage solutions are built with distributed, redundant architecture that ensures high availability, even in the event of node or zone failures. Features such as self-healing volumes, multi-region replication, and encryption at rest and in transit make them a compelling choice for regulated industries. GitOps telemetry and cloud-native audit logs report that in 2024, over 40% of enterprise storage-related commits included configuration for compliance controls such as encryption, access logging, or region-based replication. This underscores the growing enterprise focus on building cloud native storage solutions that are secure by design and aligned with regulatory requirements for data protection and resilience.

Additionally, compliance frameworks like GDPR, HIPAA, and PCI-DSS demand traceable, secure, and auditable storage operations. Cloud native storage platforms are increasingly incorporating compliance-oriented features such as audit logging, role-based access control, and immutable backups — making them a viable option for mission-critical, compliant workloads.

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Key Market Challenges

Complexity in Managing Data Consistency Across Distributed Environments

As enterprises adopt cloud native architectures that span across multiple cloud providers and on-premises data centers, maintaining data consistency and synchronization across distributed storage environments becomes increasingly complex. Unlike traditional monolithic systems where data resides in a single, centralized storage infrastructure, cloud native storage systems are built to support microservices and containerized applications that are inherently distributed. While this distributed nature offers advantages in scalability and redundancy, it presents major challenges in maintaining real-time consistency, especially when data is constantly read, written, and synchronized across regions and platforms. These challenges intensify in use cases involving stateful applications such as databases or transaction processing systems, where strong consistency guarantees are critical to operational integrity.

In addition, ensuring durability and consistency of data across dynamically orchestrated Kubernetes clusters requires robust orchestration of persistent volumes, replication policies, failover mechanisms, and data recovery protocols. A small lapse in replication timing or storage orchestration can result in data conflicts, corruption, or service outages. Enterprise DevOps and site reliability teams often struggle to monitor, diagnose, and resolve such issues in real time, especially when managing diverse workloads across different geographic regions and storage types. This operational complexity hinders seamless scaling and affects the trust enterprises place in cloud native architectures for mission-critical workloads. As a result, vendors in this market are under pressure to develop more intelligent, automated solutions that can mitigate consistency risks without compromising speed or performance.

Data Security, Compliance, and Regulatory Fragmentation

One of the most pressing challenges in the global cloud native storage landscape is navigating the increasing complexity of data security, compliance, and jurisdictional regulations. As data sovereignty and privacy laws evolve in regions like the European Union, the United States, India, and China, enterprises are confronted with varying legal obligations concerning where and how their data is stored and processed. Cloud native storage, by design, allows for high mobility and elasticity of data — including automatic replication and backup across multiple zones and regions — which can inadvertently violate cross-border data movement regulations if not carefully governed. Ensuring compliance with policies such as the General Data Protection Regulation, the California Consumer Privacy Act, and emerging data localization mandates requires advanced data governance frameworks integrated natively within the storage layer.

Securing distributed, ephemeral workloads in cloud native environments presents a significantly broader attack surface. Persistent volumes can be exposed to misconfigurations, unauthorized access, or data leaks if security policies are not properly enforced across dynamic containerized environments. Cloud native storage systems must therefore support zero-trust security architectures, end-to-end encryption, secure role-based access controls, and detailed audit trails — all of which are complex to implement across multi-cloud and hybrid infrastructure. Many organizations lack the in-house expertise or resources to ensure these protections are consistently deployed and maintained. The challenge is compounded by the pace at which containers are spun up and down, making it difficult to monitor and audit every data transaction in real time. Until standardized, automated compliance and security tooling becomes universally available within cloud native storage platforms, regulatory risks and security vulnerabilities will continue to pose significant barriers to broader adoption.

Key Market Trends

Integration of Artificial Intelligence for Intelligent Data Management

One of the most significant trends driving innovation in the global cloud native storage market is the increasing integration of artificial intelligence for intelligent data management. Enterprises are moving toward self-optimizing infrastructure, where storage solutions are not only reactive but proactive—able to anticipate workloads, manage data tiering, and automate performance tuning. Artificial intelligence enhances the ability of cloud native storage platforms to predict demand spikes, detect anomalies, and recommend or automate storage allocation adjustments in real time. This not only improves operational efficiency but also reduces costs associated with overprovisioning or manual intervention.

Cloud native storage vendors are now embedding artificial intelligence into their storage control planes to offer intelligent features such as autonomous failover, workload-aware volume placement, predictive failure alerts, and storage policy recommendations. These capabilities are becoming essential in data-intensive sectors such as financial services, healthcare, and autonomous technologies, where latency-sensitive and high-volume applications cannot afford downtime or performance degradation. Artificial intelligence-driven cloud native storage is rapidly evolving from a competitive advantage to a business necessity, providing the intelligence layer that modern digital enterprises demand for scalability, resilience, and real-time agility.

Rise of Edge-Native Storage Architectures

The proliferation of edge computing is giving rise to the demand for edge-native cloud storage architectures, which is becoming a defining trend within the global cloud native storage market. Enterprises are increasingly deploying applications at the edge—to locations such as retail stores, factories, oil rigs, and smart cities—where data must be processed locally in real time to reduce latency and bandwidth costs. Traditional centralized storage models are insufficient for such use cases, driving the need for decentralized, cloud native storage systems that can operate independently and synchronize with central cloud repositories when needed.

Cloud native storage vendors are responding by developing lightweight, distributed storage platforms that are optimized for edge environments. These systems offer local data caching, offline functionality, autonomous replication, and synchronization with centralized clusters once network connectivity is reestablished. The fusion of cloud native principles with edge computing requirements allows organizations to maintain data integrity, performance, and security across vast, geographically dispersed networks. As the edge computing market grows, cloud native storage will become a cornerstone technology, enabling seamless application deployment and data management from cloud to edge.

Growing Focus on Multi-Tenancy and Data Isolation in Shared Environments

A growing focus on multi-tenancy and data isolation is shaping the design and deployment of cloud native storage systems in enterprise and service provider environments. As organizations embrace shared infrastructure to maximize resource utilization and reduce operational overhead, they demand robust mechanisms to isolate data across teams, departments, or customer tenants. Cloud native storage platforms are evolving to support multi-tenancy at scale, ensuring that data from one tenant is logically and operationally separated from others, even within the same physical cluster or volume pool.

Storage vendors are incorporating features such as tenant-aware access controls, resource quotas, network segmentation, and audit logging to meet this rising demand. In addition, organizations are looking for more granular controls over data encryption, replication rules, and disaster recovery policies on a per-tenant basis. This shift is especially critical for industries with stringent data governance requirements, such as finance, government, and healthcare. As multi-tenancy becomes more prevalent in public, private, and hybrid cloud models, cloud native storage systems that deliver secure and scalable tenant isolation will become the default standard in both enterprise IT and managed service offerings.

Segmental Insights

Component Insights

In 2024, the Solutions segment emerged as the dominant component in the Global Cloud Native Storage Market, driven by the rapid adoption of scalable, resilient, and container-friendly storage platforms across enterprise and cloud-native environments. Organizations deploying Kubernetes, Docker, and other orchestration platforms are increasingly investing in integrated storage solutions that offer persistent volumes, software-defined storage, automated provisioning, and real-time data replication. These solutions are critical to supporting dynamic application workloads, especially as businesses modernize their IT infrastructure and embrace distributed, hybrid, and multi-cloud environments.

The preference for solutions over services is primarily due to their direct impact on performance optimization, automation, and operational efficiency. Enterprises seek turnkey storage platforms that can seamlessly integrate into existing DevOps pipelines, provide native support for containers, and align with Infrastructure-as-Code practices. As cloud-native application development becomes a standard across industries, the demand for robust, intelligent, and secure storage solutions will only grow. Solutions also include object, block, and file storage products that are tailored for modern application workloads such as real-time analytics, artificial intelligence, and edge computing, further strengthening their market appeal.

The solutions segment is expected to maintain its dominance during the forecast period as enterprises prioritize long-term investments in software-driven, scalable storage infrastructure. Cloud native storage vendors are innovating rapidly, introducing AI-driven management, cross-cloud operability, and security-enhanced offerings—all within their solution portfolios. Although the services segment, including consulting, deployment, and managed services, is also growing, it primarily supports the adoption of core solutions rather than replacing them. As a result, the global market will continue to be led by the solutions segment, supported by ongoing demand for flexible, high-performance storage architectures that align with the evolution of cloud-native computing.

Deployment Insights

In 2024, the Public Cloud segment dominated the Global Cloud Native Storage Market and is expected to maintain its leading position during the forecast period. This dominance is primarily driven by the rapid adoption of public cloud platforms by enterprises seeking scalability, flexibility, and cost-efficiency. Public cloud environments offer native integration with container orchestration tools like Kubernetes and provide seamless access to storage services optimized for cloud-native applications. Additionally, major cloud providers continue to enhance their storage offerings with advanced features such as automated scaling, security controls, and global data replication. As organizations increasingly migrate workloads to the cloud and embrace multi-cloud strategies, the demand for public cloud-based cloud native storage solutions will continue to grow substantially.

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Regional Insights

Largest Region

In 2024, North America emerged as the dominant region in the Global Cloud Native Storage Market, primarily due to its early and widespread adoption of cloud-native technologies across enterprises of all sizes. The region benefits from the strong presence of leading cloud service providers, technology startups, and software-defined storage vendors headquartered in the United States and Canada. With a robust ecosystem of Kubernetes users, DevOps practitioners, and digitally mature organizations, North America has consistently led the way in transitioning to scalable, container-native infrastructure. The widespread implementation of hybrid and multi-cloud strategies across sectors such as finance, healthcare, retail, and manufacturing has further accelerated the demand for advanced cloud native storage solutions.

The region’s favorable regulatory frameworks and high levels of investment in cloud infrastructure, artificial intelligence, and data security have encouraged enterprises to adopt cloud-native architectures at scale. North America’s advanced IT infrastructure, availability of skilled cloud professionals, and commitment to innovation continue to fuel demand for intelligent, resilient, and high-performance storage systems that support distributed applications. As a result, the region is expected to maintain its leadership position in the global market during the forecast period, driving future innovations and setting industry benchmarks for cloud native storage.

Emerging Region

In 2024, South America rapidly emerged as a high-potential growth region in the Global Cloud Native Storage Market, driven by increasing digital transformation across key industries such as telecommunications, financial services, and e-commerce. The rising adoption of cloud computing, fueled by expanding internet penetration and mobile usage, has created strong demand for scalable and cost-efficient storage solutions. Governments and enterprises across countries like Brazil, Argentina, and Colombia are investing in modern IT infrastructure and embracing containerized application environments. Additionally, the growing presence of global cloud service providers in the region has enabled easier access to cloud native tools and storage platforms. These factors position South America as a promising market with strong momentum for cloud native storage adoption in the coming years.

Recent Developments

• In June 2025, Lenovo advanced its Hybrid AI Advantage by integrating Cisco Nexus 9300 and NVIDIA Spectrum-X technologies to eliminate AI networking bottlenecks. This jointly architected solution delivers 1.6x faster AI network performance and 95% effective bandwidth. With Cisco’s 800 GbE Silicon One switches and NVIDIA’s adaptive networking features, customers can optimize AI infrastructure using a unified architecture and existing management tools across front- and back-end networks.
• In September 2024, Oracle and AWS launched Oracle Database@AWS, enabling customers to access Oracle Autonomous Database and Exadata Database Service directly within AWS. This collaboration offers unified management between Oracle Cloud Infrastructure and AWS, simplified administration, and seamless integration with AWS AI/ML services. Customers benefit from low-latency connectivity, enhanced security, and performance while leveraging Oracle’s enterprise databases alongside AWS’s flexible cloud infrastructure to drive innovation across workloads and applications.
• In August 2024, Portworx announced its return to KubeCon North America, highlighting the growing prominence of data-intensive and AI/ML workloads on Kubernetes—now adopted by 97% and 54% of users, respectively. Portworx offers a leading Kubernetes-native data management platform designed to automate, protect, and unify data across on-prem, cloud, and hybrid environments. At KubeCon, Portworx will showcase solutions that streamline and optimize data operations for modern Kubernetes workloads.

Key Market Players

• Amazon.com, Inc.
• Google LLC
• VMware, Inc.
• Microsoft Corporation
• IBM Corporation
• NetApp, Inc.
• Dell Technologies Inc.
• Pure Storage, Inc.

Report Scope:

In this report, the Global Cloud Native Storage Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• Cloud Native Storage Market, By Component:

o   Solutions

o   Services    

• Cloud Native Storage Market, By Deployment:

o   Private Cloud

o   Public Cloud

• Cloud Native Storage Market, By Vertical:

o   BFSI

o   Telecom & IT

o   Healthcare

o   Retail & Consumer Goods

o   Manufacturing

o   Government

o   Energy & Utilities

o   Media & Entertainment

o   Others

• Cloud Native Storage Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Europe

§  Germany

§  France

§  United Kingdom

§  Italy

§  Spain

o   Asia Pacific

§  China

§  India

§  Japan

§  South Korea

§  Australia

o   Middle East & Africa

§  Saudi Arabia

§  UAE

§  South Africa

o   South America

§  Brazil

§  Colombia

§  Argentina

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Cloud Native Storage Market.

Available Customizations:

Global Cloud Native Storage Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

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