# Scale Out Nas Market

> Scale-Out NAS Market Size, Share and Research Report By Deployment (On-Premise and Cloud), By Organization Size (Large Enterprises and Small and Medium Enterprises), By End-User Industry (BFSI, Healthcare, IT and Telecom, Retail, Media and Entertainment, and Other End-User Industries) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) – Industry Forecast Till 2035

- **Forecast Period:** 2026-2035
- **CAGR:** 19.5%
- **2025:** USD 18.60 Billion
- **2035:** USD 110.47 Billion
- **Key Players:** Dell Technologies, NetApp, Hewlett Packard Enterprise, Huawei Technologies, IBM, Pure Storage, Hitachi Vantara, VAST Data

**Report ID:** MRFR/ICT/25101-HCR · **Pages:** 111 · **Author:** Ankit Gupta & Aarti Dhapte · **Last Updated:** October 22, 2026

**URL:** https://www.marketresearchfuture.com/reports/scale-out-nas-market-26763

---

## Market Summary

## Scale Out Nas Market Summary

The global Scale Out NAS Market was valued at USD 18.60 Billion in 2025 and is forecast to reach USD 22.23 Billion in 2026. It will then climb to USD 110.47 Billion by 2035, a CAGR of 19.5% over 2026–2035. Two catalysts anchor that path. GPU cluster build-outs are multiplying the volume of training data that enterprises must deliver at line rate, and the IEA expects global data-centre electricity use to more than double to roughly 945 TWh by 2030 [3]. China's East Data, West Computing programme is also channelling public and private capital into eight national computing hubs [23].

Legacy scale-up filers are reaching their limits. These dual-controller arrays hit a hard ceiling on capacity and performance, and they are giving way to scalable network attached storage clusters that present one global namespace and grow linearly as nodes are added. All-flash and QLC-based nodes are displacing disk-heavy tiers for hot data, while cloud-native file services extend the same namespace into public cloud. India's IndiaAI Mission, approved in 2024 with an outlay of ₹10,372 crore, shows how public money is flowing into the compute and storage stacks behind this shift [15].

North America leads with a 38.5% share in 2025, supported by hyperscale and AI-lab demand. Asia-Pacific is the fastest-growing region at a 23.1% CAGR. Europe ranks second, driven by financial-sector resilience rules and data-sovereignty requirements. Over the next decade, the Scale Out NAS Market will be shaped less by raw capacity and more by how efficiently platforms keep accelerators supplied with data.

## Key Report Takeaways

### • By Deployment

- On-Premise deployments held a 58.5% share of the Scale Out NAS Market in 2025, anchored by latency-sensitive AI and regulated workloads.
- Cloud deployments are projected to expand at a 24.3% CAGR through 2035 as file services move into hyperscaler marketplaces.

### • By Organization Size

- Large Enterprises accounted for a 67.0% share in 2025, reflecting petabyte-scale estates and dedicated storage teams
- Small & Medium Enterprises are set to grow at a 22.8% CAGR as subscription pricing lowers entry costs

### • By End-user Industry

- IT & Telecom led with a 24.5% share of the Scale Out NAS Market in 2025
- Healthcare is the fastest-growing vertical at a 23.6% CAGR, driven by [genomics](https://www.marketresearchfuture.com/reports/genomics-market-12283) and digital imaging
- BFSI generated USD 3.74 Billion in 2025 as banks modernised recovery infrastructure

### • By Region

- North America held a 38.5% share in 2025
- Asia-Pacific is expanding at a 23.1% CAGR, the fastest of any region
- Europe generated USD 5.02 Billion in 2025

## Market Size and Forecast (2021–2035)

Market Research Future built the Scale Out NAS Market time series by combining bottom-up estimates of node shipments and average selling prices with vendor-reported storage revenue. More than 350 primary interviews with vendors, channel partners and enterprise buyers were used to refine the model. The resulting figures were validated top-down against company filings [9][10][11][12] and triangulated with data-centre capacity and energy trends [3][5]. The table below presents historical values for 2021–2024, the 2025 base year and the forecast for 2026–2035.

## Market Drivers

## Driver Impact Analysis

| Driver | ~% Impact on CAGR | Geographic Relevance | Impact Timeline | Ref |
| --- | --- | --- | --- | --- |
| AI/ML training and inference data pipelines | ~+4.6% | North America, Asia-Pacific | Short-term (≤2 yr) | [3], [8] |
| Unstructured data proliferation | ~+3.8% | Global | Long-term (≥4 yr) | [1] |
| Big data analytics adoption | ~+2.7% | North America, Europe | Medium-term (2–4 yr) | [2] |
| Hybrid cloud and storage-as-a-service consumption | ~+2.4% | Global | Medium-term (2–4 yr) | [11] |
| Genomics and medical imaging growth | ~+1.9% | North America, Europe | Long-term (≥4 yr) | [13], [16] |
| Sovereign compute and national AI programmes | ~+1.6% | Asia-Pacific, Rest of the World | Medium-term (2–4 yr) | [15], [23] |
| Financial-sector operational resilience mandates | ~+1.3% | Europe | Short-term (≤2 yr) | [7] |

### AI/ML Training and Inference Data Pipelines

Accelerated computing has made storage throughput a gating factor for GPU utilisation. A single training run can stream tens of petabytes, and idle accelerators waste capital that costs several dollars per GPU-hour. The IEA estimates data centres consumed about 415 TWh in 2024, with AI-focused facilities the fastest-growing slice [3]. Vendors now support NVIDIA GPUDirect Storage, which moves data from storage straight into GPU memory and bypasses the CPU bounce buffer [8]. Buyers increasingly benchmark file platforms against GPU-saturation targets rather than raw capacity.

### Unstructured Data Proliferation

projected the global datasphere would reach 175 zettabytes by 2025, and most new data is unstructured: video, sensor logs, images and documents [1]. Object stores handle cold archives well. Active unstructured datasets, however, still depend on POSIX-compliant file access for application compatibility. Scale-out architectures let organisations grow a single namespace from hundreds of terabytes to tens of petabytes without forklift upgrades. That is why capacity-driven refresh cycles keep favouring node-based clusters over monolithic arrays.

### Big Data Analytics Adoption

Analytics programmes turn stored data into decisions, and they need sustained parallel I/O to do it. An Accenture study found that 79% of enterprise executives believe companies that fail to embrace big data will lose their competitive position and could face extinction [2]. Spark and lakehouse [engines](https://www.marketresearchfuture.com/reports/engine-market-24300) increasingly read directly from NFS and SMB shares. Analytics teams can then work from one copy of data alongside operational applications instead of maintaining duplicate silos.

### Hybrid Cloud and Storage-as-a-Service Consumption

Consumption-based procurement is lowering entry barriers. [Pure Storage](https://www.everpuredata.com/knowledge/what-is-scale-out-storage.html) reported subscription annual recurring revenue of roughly USD 1.7 billion in fiscal 2025, which shows how quickly buyers are moving from capital purchases to pay-per-use contracts [11]. Hyperscaler-native file services from NetApp, [Qumulo](https://qumulo.com/product/cloud-data-platform) and others let organisations burst workloads into public cloud under one management plane. This hybrid model shortens procurement cycles and brings mid-sized buyers into a category once reserved for the largest IT budgets.

### Genomics and Medical Imaging Growth

Life-sciences data is compounding fast. The National Human Genome Research Institute estimates genomics research could generate between 2 and 40 exabytes of data within a decade [16]. Digital pathology slides routinely exceed 1 GB each, and imaging archives must be retained for years under HIPAA Security Rule safeguards [13]. Research hospitals and sequencing centres need shared file platforms that combine high ingest throughput with audit trails, encryption and policy-driven tiering to cheaper media.

### Sovereign Compute and National AI Programmes

National AI and digital-infrastructure programmes are creating storage demand outside traditional markets. India's IndiaAI Mission committed ₹10,372 crore to compute capacity, datasets and model development [15]. China's East Data, West Computing initiative designates eight national hubs and ten data-centre clusters [23]. Each GPU deployment under these programmes needs a matching high-throughput file tier, which opens procurement pipelines for global vendors and domestic suppliers such as Huawei.

### Financial-Sector Operational Resilience Mandates

The EU Digital Operational Resilience Act has been in force since 17 January 2025. It obliges banks, insurers and investment firms to test recovery capabilities and manage third-party ICT risk [7]. Financial institutions are responding by modernising file infrastructure with immutable snapshots, rapid restore and cross-site replication. DORA covers more than 20 categories of financial entities, so the refresh cycle reaches well beyond tier-one banks to mid-sized insurers and asset managers.

## Restraints

## Restraints Impact Analysis

| Restraint | ~% Impact on CAGR | Geographic Relevance | Impact Timeline | Ref |
| --- | --- | --- | --- | --- |
| High licensing fees and total cost of ownership | ~−2.1% | Global | Medium-term (2–4 yr) |  |
| Power and cooling costs | ~−1.8% | North America, Europe | Long-term (≥4 yr) | [5], [6] |
| Functional gaps and migration risk versus scale-up NAS | ~−1.2% | Global | Short-term (≤2 yr) | [17] |
| Flash and disk component price volatility | ~−1.0% | Global | Short-term (≤2 yr) | [9] |
| Shortage of skilled storage administrators | ~−0.9% | Global | Medium-term (2–4 yr) | [17] |

### High Licensing Fees and Total Cost of Ownership

Scale-out platforms often carry per-terabyte or per-node [software](https://www.marketresearchfuture.com/reports/software-market-11924) licences on top of hardware, plus the cost of the back-end switching that links nodes. Market Research Future buyer interviews indicate software and support can account for 30–40% of five-year platform spend. Evaluations of file and object platforms identify pricing transparency as a recurring customer concern . For budget-constrained buyers, these layered costs delay replacement of fully depreciated scale-up filers.

### Power and Cooling Costs

Energy has become a board-level cost. Lawrence Berkeley National Laboratory found that US data centres used 4.4% of national electricity in 2023 and could reach 6.7–12% by 2028 [5]. Under the recast EU Energy Efficiency Directive, data centres with an IT load of at least 500 kW must report energy and water performance every year [6]. Each added node raises power draw and cooling load, which leads some operators to defer expansion.

### Functional Gaps and Migration Risk Versus Scale-Up NAS

Mature scale-up filers still offer deeper application integrations, granular quotas and well-understood replication tooling that some newer platforms lack. Migration is risky in its own right. Uptime Institute's 2024 survey found that more than half of operators said their most recent significant outage cost over USD 100,000 [17]. Enterprises with stable workloads often see little reason to accept cutover risk, and that slows conversion of the installed base.

### Flash and Disk Component Price Volatility

NAND and hard disk pricing drive the economics of storage. Flash contract prices surged through 2024 as companies decreased output in 2023. Dell’s annual filing mentions component pricing and availability as a substantial risk to profits [9]. This unpredictability makes it more difficult to plan for longer-term capacity and may cause buyers to delay purchases or make smaller incremental increases.

### Shortage of Skilled Storage Administrators

To run petabyte-scale clusters requires networking expertise and data protection and performance tuning. According to research by Uptime Institute [17], “The vast majority of data-centre operators are struggling to find qualified staff. The biggest difference is in emerging markets. There, the buyer’s reliance on vendor professional services and the premiums it pays undermine the economic justification for adopting scale-out architectures.

## Opportunities

## Scale Out Nas Market Opportunities

### AI-Ready Data Platforms for GPU Clusters

Vendors that certify devices against reference architectures from NVIDIA and that support GPUDirect Storage can command premium pricing in the fastest-growing workload category [8]. Inference is migrating out of the hyperscalers into the enterprise, creating a need for small, high-throughput clusters built for tens of GPUs rather than thousands. Another differentiator is integrated metadata catalogs and vector-search hooks for retrieval-augmented generation.

### Storage-as-a-Service and Data Monetisation Models

Subscription and consumption contracts transform single hardware sales into recurring revenue and increase client retention. [11] Vendors are also providing layers of data services such as classification, governance and safe data sharing that allow clients to monetize curated data sets with partners. Managed service providers that combine scale-out capacity with AI data preparation services can supply storage for mid-sized companies that don’t have internal storage teams.

### Emerging-Market Expansion in India, Southeast Asia and the Gulf

India's data-localisation framework under the Digital Personal Data Protection Act, 2023 [14] and the IndiaAI compute programme [15] are creating in-country demand. Data-centre clusters in Johor, Malaysia, together with Gulf sovereign AI projects, are adding further pockets of growth. Vendors with local assembly, channel depth and sovereign-cloud alliances are best placed to win public-sector and telecom tenders in these regions.

### Energy-Efficient QLC Flash Tiers

EU energy-reporting obligations [6] and rising US power constraints [5] favour platforms that deliver more terabytes per watt. Dense QLC flash nodes can cut rack footprint and power draw sharply compared with disk-heavy tiers, which makes efficiency a selling point in its own right. Vendors that publish verified energy metrics will gain an edge in tenders that score sustainability.

### Edge-to-Core Platforms for Healthcare and Life Sciences

Sequencers, imaging scanners and digital pathology systems generate data at the edge that must reach central research clusters quickly [16]. Platforms that combine edge caching, HIPAA-aligned encryption [13] and automated tiering can address a segment growing faster than the wider market. Partnerships with sequencing-instrument makers and electronic health record vendors offer a direct route into clinical buyers.

## Future Outlook

## Scale Out Nas Market Future Outlook

### AI-Native Data Platforms

The defining shift of the decade will be file platforms designed around accelerators. The IEA projects global data-centre electricity demand of roughly 945 TWh by 2030, driven mostly by AI [3]. Every watt spent on GPUs that sit idle waiting for data is wasted, so the Scale Out NAS Market will reward platforms that combine RDMA networking, GPU-direct data paths and integrated metadata services. Storage will be bought as part of [AI infrastructure](https://www.marketresearchfuture.com/reports/ai-infrastructure-market-30118) rather than as a standalone IT purchase.

### Consumption Economics and Platform Consolidation

Subscription models will become the default. Vendors will compete on guaranteed performance levels, non-disruptive upgrades and cross-cloud portability rather than on hardware specifications. Expect consolidation as well-funded challengers such as [VAST Data](https://www.vastdata.com/usecase/universal-storage) [20] and DDN [22] press incumbents, and as smaller specialists look for acquirers to fund the research needed to keep pace.

### Flash Displacement of Disk

Falling QLC flash prices will push disk toward deep archive roles by the early 2030s. Software-defined storage running on standard servers will also widen the supplier base and put pressure on proprietary appliance pricing. Media-agnostic architectures that tier across flash, disk and object storage will hold an advantage as media economics keep changing.

### Energy and Sustainability Reporting

Sustainability will move from marketing claim to procurement criterion. EU data centres above 500 kW already report energy and water metrics [6], and US utilities are rationing new grid connections as data-centre demand climbs [5]. Throughout the Scale Out NAS Market, buyers will specify terabytes per watt and embodied-carbon disclosures, and vendors with transparent, verified efficiency data will win more tenders.

## Segment Insights

## Scale Out Nas Market Segmentation

### By Deployment

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| On-Premise | 58.5% share | Latency-sensitive AI training and regulated data |
| Cloud | 24.3% CAGR | Hyperscaler-native file services and burst capacity |

On-Premise deployments dominate the Scale Out NAS Market because GPU clusters need storage on the same low-latency fabric, and because regulated industries keep sensitive data in their own facilities. Cloud deployments are growing faster as NetApp, Qumulo and hyperscalers offer managed file services billed by consumption. Many enterprises now run both models under a single namespace, placing training data on-premise and using the cloud for burst analytics and disaster recovery.

### By Organization Size

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| Large Enterprises | 67.0% share | Petabyte-scale estates and AI infrastructure programmes |
| Small & Medium Enterprises | 22.8% CAGR | Subscription pricing and managed services |

Large Enterprises lead the Scale Out NAS Market thanks to multi-petabyte data estates, dedicated storage teams and the capital to fund AI infrastructure. Small & Medium Enterprises are the faster-growing group. Entry-level clusters starting at a few nodes, cloud file services and managed-service bundles have removed the upfront cost and skills barriers that once kept smaller firms on single-controller filers.

### By End-user Industry

| Segment | Key Metric (2025) | Primary Demand Driver |
| --- | --- | --- |
| BFSI | USD 3.74 Billion | DORA resilience mandates and risk analytics |
| Healthcare | 23.6% CAGR | Genomics, digital pathology and medical imaging |
| IT & Telecom | 24.5% share | AI services, 5G network data and cloud operations |
| Retail | USD 1.71 Billion | Customer analytics and video surveillance |
| Media and Entertainment | 17.0% share | 4K/8K production and visual-effects rendering |
| Other End-user Industries | USD 2.18 Billion | Manufacturing simulation, energy exploration and public research |

IT & Telecom is the largest end-user group in the Scale Out NAS Market, driven by AI service providers, 5G network analytics and cloud operations. Healthcare is the fastest-growing vertical as genomics data heads toward exabyte scale [16]. BFSI is a large, regulation-led buyer, while Media and Entertainment relies on scale-out throughput for 8K editing and rendering. Retail and Other End-user Industries, including manufacturing and energy, add steady analytics-driven demand.

## Regional Market Share Analysis

## Regional Market Share Analysis

| Region | Key Metric (2025) | Primary Investment Themes |
| --- | --- | --- |
| North America | 38.5% share | AI lab build-outs, hyperscale capacity, ransomware resilience |
| Europe | USD 5.02 Billion | DORA compliance, data sovereignty, energy-efficient infrastructure |
| Asia-Pacific | 23.1% CAGR | Sovereign AI programmes, telecom 5G data growth, hyperscale expansion |
| Rest of the World | 8.0% share | Gulf AI investment, Brazilian colocation growth, digital government |
| Total | USD 18.60 Billion | Global AI-driven file storage demand |

Regional demand in the Scale Out NAS Market follows the geography of AI compute investment, data-protection regulation and digital-infrastructure spending. North America holds the largest installed base, Europe's growth is shaped by regulation, Asia-Pacific grows fastest on sovereign AI programmes, and the Rest of the World is emerging around Gulf and Brazilian data-centre hubs.

### North America

| Country | Key Metric (2025) | Key Driver |
| --- | --- | --- |
| US | 84.0% share of region | AI lab and hyperscale GPU build-outs |
| Canada | USD 0.79 Billion | Federal AI compute funding and university research clusters |
| Mexico | 21.4% CAGR | Nearshoring and new colocation capacity |

US hyperscalers, AI labs and national laboratories form the deepest buyer base in the Scale Out NAS Market, and Dell, NetApp and Pure Storage all draw their largest revenue share from the region [9][10][11]. Power availability is now the binding constraint, with data-centre electricity use projected to rise to as much as 12% of US consumption by 2028 [5]. Canada benefits from public investment in sovereign AI compute. Mexico's growth tracks manufacturing nearshoring and the colocation corridor around Querétaro.

### Europe

| Country | Key Metric (2025) | Key Driver |
| --- | --- | --- |
| Germany | 23.5% share of region | Industrial automation data and automotive engineering simulation |
| UK | USD 1.03 Billion | Financial services resilience and media post-production |
| France | 15.0% share of region | Sovereign cloud initiatives and public research computing |
| Italy | 18.2% CAGR | Banking modernisation and public-administration digitisation |
| Spain | USD 0.36 Billion | New hyperscale regions around Madrid |
| Nordic Countries | 20.6% CAGR | Low-cost renewable power attracting AI data centres |
| Russia | 3.5% share of region | Domestic import-substitution storage programmes |
| Rest of Europe | USD 0.68 Billion | Central and Eastern European colocation growth |

Regulation sets the pace in Europe. DORA's application from January 2025 [7] is pushing financial institutions toward immutable, rapidly recoverable file platforms, while GDPR keeps sensitive datasets inside the bloc. The recast Energy Efficiency Directive's reporting regime [6] rewards dense, low-power nodes. The Nordic Countries are winning AI data-centre projects on the strength of cheap renewable electricity, and Germany and the UK remain the largest national buyers.

### Asia-Pacific

| Country | Key Metric (2025) | Key Driver |
| --- | --- | --- |
| China | 38.0% share of region | East Data, West Computing hubs and domestic vendor preference |
| India | 27.4% CAGR | IndiaAI Mission and data-localisation rules |
| Japan | USD 0.94 Billion | Manufacturing digital twins and government AI subsidies |
| South Korea | 9.5% share of region | Semiconductor and telecom AI investment |
| ASEAN | 25.2% CAGR | Hyperscale clusters in Johor, Singapore and Jakarta |
| Rest of Asia-Pacific | USD 0.40 Billion | Australian research computing and cloud regions |

Asia-Pacific is the growth engine of the Scale Out NAS Market. China's eight national computing hubs [23] channel orders largely toward Huawei and other domestic suppliers. India combines the IndiaAI compute programme [15] with the Digital Personal Data Protection Act [14], encouraging in-country storage. Southeast Asia is absorbing hyperscale overflow from Singapore's capacity limits, and Japan and South Korea are investing in AI for manufacturing and semiconductors.

### South America

| Country | Key Metric (2025) | Key Driver |
| --- | --- | --- |
| Brazil | 57.7% share of region | Colocation expansion and LGPD compliance |
| Argentina | 17.9% CAGR | Fintech and agritech data growth |
| Rest of South America | USD 0.10 Billion | Chilean and Colombian cloud regions |

Brazil anchors South American demand, with colocation expansion around São Paulo and LGPD data-protection obligations keeping regulated datasets on local infrastructure. Banks, fintechs and media groups lead adoption, often buying through managed-service contracts that soften upfront costs. Argentina's growth comes from fintech and agritech analytics, though currency volatility lengthens procurement cycles. Chile and Colombia are attracting new hyperscale cloud regions, which is creating early demand for scale-out file tiers alongside public cloud services.

### Middle East & Africa

| Country | Key Metric (2025) | Key Driver |
| --- | --- | --- |
| Saudi Arabia | 24.6% CAGR | Vision 2030 digital and sovereign AI projects |
| UAE | 24.8% share of region | National AI strategy and hyperscale campuses |
| South Africa | USD 0.13 Billion | Financial services and cloud region build-outs |
| Egypt | 19.8% CAGR | Government digital transformation |
| Rest of Middle East & Africa | 15.4% share of region | Telecom data growth in Nigeria and Kenya |

Gulf sovereign AI programmes drive growth in the Middle East & Africa. Saudi Arabia and the UAE are funding national AI campuses that need high-throughput file storage from launch, usually procured through government-linked integrators under Vision 2030 and national AI strategies. South Africa's financial sector and new cloud regions support steady on-premise investment. Egypt's digital-government programme and telecom data growth in Nigeria and Kenya are opening further opportunities, mostly through managed services.

### Rest of the World

| Country | Key Metric (2025) | Key Driver |
| --- | --- | --- |
| Brazil | 24.0% share of region | Colocation expansion and LGPD compliance |
| Argentina | 17.9% CAGR | Fintech and agritech data growth |
| Rest of South America | USD 0.10 Billion | Chilean and Colombian cloud regions |
| Saudi Arabia | 24.6% CAGR | Vision 2030 digital and sovereign AI projects |
| UAE | 14.5% share of region | National AI strategy and hyperscale campuses |
| South Africa | USD 0.13 Billion | Financial services and cloud region build-outs |
| Egypt | 19.8% CAGR | Government digital transformation |
| Rest of Middle East & Africa | 9.0% share of region | Telecom data growth in Nigeria and Kenya |

Gulf states and Brazil account for most demand in this region. Saudi Arabia and the UAE are funding sovereign AI campuses that require high-throughput file tiers from day one, often procured through government-linked integrators. Brazil's LGPD data-protection law and a growing colocation sector around São Paulo support steady on-premise investment. Across Africa, telecom operators and banks lead early adoption, frequently through managed-service contracts.

## Competitive Benchmarking

## Competitive Benchmarking

The Scale Out NAS Market remains moderately fragmented. Market Research Future estimates that the top five vendors control roughly 50–55% of revenue, implying a Herfindahl-Hirschman Index of about 850–1,000, well below the level typically associated with concentration. Incumbents such as Dell Technologies and NetApp rely on large installed bases and channel reach. AI-focused challengers, led by VAST Data and DDN, are taking share in GPU-cluster deployments, and Huawei leads in China.

| Company | Est. Revenue Share Range | Key Offerings for Scale Out NAS Market | Strategic Positioning |
| --- | --- | --- | --- |
| Dell Technologies | ~17–21% | PowerScale all-flash and hybrid nodes, OneFS operating system | Installed-base leader with NVIDIA-validated AI reference designs |
| NetApp | ~12–15% | ONTAP AFF and FAS systems, StorageGRID, cloud-native ONTAP services | Hybrid-cloud data management across all major hyperscalers |
| Hewlett Packard Enterprise | ~6–9% | HPE GreenLake for File Storage on Alletra Storage MP | Consumption-led GreenLake delivery model |
| Huawei Technologies | ~6–8% | OceanStor Pacific and OceanStor Dorado | Price-performance leader in China and emerging markets |
| IBM | ~5–7% | IBM Storage Scale and Storage Scale System | HPC and AI heritage with hybrid-cloud integration |
| Pure Storage | ~4–6% | FlashBlade//S, FlashBlade//E, Evergreen subscriptions | All-flash specialist with non-disruptive upgrade model |
| Hitachi Vantara | ~3–5% | Virtual Storage Platform One File, Hitachi Content Platform | Unified data platform for regulated industries |
| VAST Data | ~3–5% | VAST Data Platform with disaggregated shared-everything architecture | AI-native challenger growing fastest among large vendors |
| DataDirect Networks | ~3–4% | EXAScaler, Infinia | Supercomputing and large-scale AI training specialist |
| Qumulo | ~2–3% | Qumulo Core, Azure Native Qumulo | Hardware-agnostic file platform with cloud-native delivery |

## Recent News & Developments

## Recent News & Developments

- Pure Storage (March 2023): Launched FlashBlade//E, an all-flash platform priced to compete with disk for unstructured data, which extended flash economics into capacity tiers [11]
- Hewlett Packard Enterprise (April 2023): Introduced HPE GreenLake for File Storage on Alletra Storage MP, bringing consumption pricing to high-performance file workloads [12]
- VAST Data (December 2023): Closed a USD 118 million Series E round at a USD 9.1 billion valuation, funding expansion into AI cloud and enterprise accounts [20]
- Hitachi Vantara (April 2024): Expanded its Virtual Storage Platform One portfolio with a file offering, unifying block, file and object management for regulated buyers [24]
- Panasas (May 2024): Rebranded as VDURA and repositioned its parallel file platform toward AI and hybrid deployments [25]
- Dell Technologies (May 2024): Announced the PowerScale F910 all-flash node within its AI Factory portfolio, aimed at GPU training throughput [9]
- European Union (January 2025): DORA became applicable to financial entities, triggering recovery-infrastructure upgrades across European BFSI [7]
- DataDirect Networks (January 2025): Secured a USD 300 million investment from Blackstone, strengthening its position in AI training storage [22]

## Report Scope

| Parameter | Details |
| --- | --- |
| Market Scope | Covers scale-out NAS hardware, software and services deployed On-Premise and in the Cloud by Large Enterprises and Small & Medium Enterprises across BFSI, Healthcare, IT & Telecom, Retail, Media and Entertainment and Other End-user Industries |
| Study Period | 2021–2035 |
| Base Year | 2025 |
| Historical Data | 2021–2024 |
| Forecast Period | 2026–2035 |
| Market Size in 2025 | USD 18.60 Billion |
| Market Size in 2035 | USD 110.47 Billion |
| CAGR (2026–2035) | 19.5% |
| Fastest Growing Segments | Cloud (24.3% CAGR); Healthcare (23.6% CAGR); Small & Medium Enterprises (22.8% CAGR) |
| Regions Covered | North America, Europe, Asia-Pacific, Rest of the World (South America, Middle East and Africa) |
| Companies Profiled | Dell Technologies, NetApp, Hewlett Packard Enterprise, Huawei Technologies, IBM, Pure Storage, Hitachi Vantara, VAST Data, DataDirect Networks, Qumulo |
| Valuation Currency | USD Billion |
| Methodology | 350+ primary expert interviews; bottom-up market sizing; top-down validation; data triangulation; scenario-based forecasting; real-time project tracking |

## Frequently Asked Questions

**Q: How should buyers compare total cost of ownership across Scale Out NAS Market vendors?**
A: Model five-year cost per usable terabyte, including node licences, support renewals, rack power and data-reduction ratios. Capacity-based subscriptions often look cheaper upfront but escalate after year three, so negotiate price-protection clauses on renewal [21].

**Q: How does scale-out NAS differ from parallel file systems for AI training?**
A: Parallel file systems such as Lustre stripe single files across many servers for peak bandwidth but demand specialist administration. Modern scale-out NAS supports NFS over RDMA and GPUDirect Storage, closing much of the performance gap while keeping standard enterprise data services [8].

**Q: Which certifications matter when selecting storage for GPU clusters?**
A: NVIDIA DGX SuperPOD and BasePOD storage certifications validate throughput under reference GPU workloads. Buyers running regulated or sovereign AI should also confirm FIPS 140-3 validated encryption modules [18].

**Q: How are data residency laws reshaping procurement in the Scale Out NAS Market?**
A: Laws such as India's Digital Personal Data Protection Act push regulated buyers toward in-country hosting or on-premise clusters. Vendors with local manufacturing or sovereign-cloud partnerships gain a shortlist advantage in public-sector tenders [14].

**Q: What integration challenges arise when migrating from legacy scale-up filers?**
A: The biggest hurdles are preserving SMB and NFS permissions, hard links and snapshot histories during cutover. Most enterprises run parallel synchronisation for four to eight weeks and migrate share by share to limit downtime.

**Q: Does ransomware protection affect vendor selection in the Scale Out NAS Market?**
A: Immutable snapshots, anomaly detection on file-access patterns and isolated cyber vaults are now shortlist requirements. NIST storage security guidance recommends these controls, and cyber insurers increasingly expect them [19].

**Q: Which emerging use cases could open new revenue pools for Scale Out NAS Market suppliers?**
A: Autonomous-vehicle sensor archives, digital pathology and retrieval-augmented generation pipelines each create petabyte-scale file sets. These workloads favour platforms that pair high throughput with native metadata indexing and search [16].


---

*This Markdown endpoint is provided for AI systems and LLM crawlers. For the full interactive report visit https://www.marketresearchfuture.com/reports/scale-out-nas-market-26763*