Storage & Data Management Watch: The AI Data Explosion, Enterprise Storage: The Resurgence & The AI Data Platform Battle
The CODEW Storage & Data Management Watch | September 2026
The AI era is creating a storage problem as much as a compute problem. As enterprises accumulate massive volumes of data for AI training, inference, analytics, and retrieval, the companies that can efficiently store, protect, govern, and move that data are becoming critical players in the AI economy. This Watch examines how the storage and data management landscape is being reshaped by AI workloads, from the resurgence of enterprise storage spending to the rise of vector databases and the revaluation of data platform companies.
Executive Brief
The enterprise storage market, which spent much of the prior two years in the shadow of explosive server and GPU investment, is now benefiting from two reinforcing tailwinds: enterprises refreshing storage infrastructure that was deferred while AI server spending took priority, and a new wave of AI-driven storage demand emerging from training pipelines, inferencing workloads, and unstructured data activation use cases.
The numbers tell the story. The worldwide external OEM enterprise storage systems market reached $9.2 billion in Q1 2026, a 22.7% year-over-year increase that represents a sharp acceleration from the 3.9% full-year 2025 growth rate. All Flash Arrays crossed the 50% revenue threshold for the first time, generating $4.9 billion and representing 52.6% of total enterprise storage revenue. Component supply constraints, particularly for NAND flash and DRAM, continue to push system-level prices upward, further amplifying revenue growth beyond what shipment volumes alone would suggest.
At the data platform layer, the divergence between Databricks and Snowflake has widened dramatically. Databricks closed a $5 billion round at a $190 billion valuation — a 42% jump from its $134 billion tag just eight months ago — while crossing a $7 billion revenue run-rate with 80%+ year-over-year growth. Snowflake trades publicly at a ~$114 billion market cap on $4.47 billion in FY26 revenue. The private company is now valued at 1.6x its public rival.
The broader signal is that AI infrastructure spending is migrating from compute to data. While NVIDIA dominates the GPU conversation, companies building AI agents need data platforms to feed them. Databricks' 80%+ growth at $7B scale suggests enterprises are spending aggressively on the data layer — not just the model layer.
📊 THE CODEW STAT
$9.2 billion — Worldwide external enterprise storage market in Q1 2026, up 22.7% YoY
$4.9 billion — All Flash Array revenue in Q1 2026 (52.6% of total ESS revenue)
80%+ — Databricks revenue growth at $7B+ ARR
$30 billion — VAST Data valuation after Series F (3x increase from late 2023)
$3.73 billion — Projected vector database market in 2026, growing at 23.5% CAGR to $10.6B by 2032
The AI Data Explosion
AI workloads are fundamentally different from traditional enterprise workloads in their data requirements. Training large language models requires vast datasets — often petabytes of unstructured data — while inference workloads demand low-latency access to embedding vectors and real-time context. The result is a new set of storage and data management requirements that traditional enterprise storage architectures were not designed to handle.
Enterprise Storage: The Resurgence
IDC: Q1 2026 Storage Market Accelerates to 22.7% Growth
IDC's Worldwide Quarterly Enterprise Storage Systems Tracker for Q1 2026 revealed a market in the midst of a structural turnaround. The $9.2 billion in vendor revenue represented a sharp acceleration from the 3.9% full-year 2025 growth rate and the 5.5% expansion recorded in Q4 2025.
The enterprise storage market, which spent much of the prior two years in the shadow of explosive server and GPU investment, is now benefiting from two reinforcing tailwinds: enterprises refreshing storage infrastructure that was deferred while AI server spending took priority, and a new wave of AI-driven storage demand emerging from training pipelines, inferencing workloads, and unstructured data activation use cases.
Component supply constraints, particularly for NAND flash and DRAM, continue to push system-level prices upward, further amplifying revenue growth beyond what shipment volumes alone would suggest.
Dell Technologies: Storage Revenue Declines as AI Servers Surge
Dell Technologies reported Q2 FY2026 storage revenue of $3.9 billion, down 3% year-over-year, even as the company posted record overall revenue of $29.8 billion, up 19%. The Infrastructure Solutions Group (ISG) delivered record revenue of $16.8 billion, up 44%, driven by record Servers and Networking revenue of $12.9 billion, up 69%.
Dell has now shipped $10 billions of AI solutions in the first half of FY26, surpassing all shipments in FY25, and raised its AI server shipment guidance for FY26 to $20 billion. The contrast between AI server growth (69%) and storage decline (-3%) highlights the current phase of the AI infrastructure buildout: enterprises are prioritizing compute capacity first, with storage refresh expected to follow.
NetApp, Pure Storage, and the All-Flash Transition
NetApp reported Q2 FY2026 revenue of $1.71 billion, up 3% year-over-year, with non-GAAP EPS of $2.05 beating the $1.89 consensus. Pure Storage reported Q4 FY2026 total revenue grew 16% to $3.7 billion, with operating profit of $226 million implying a 21.3% margin. Both companies are benefiting from the transition to all-flash storage, which IDC reported crossed the 50% revenue threshold for the first time in Q1 2026.
Data Lakes, Lakehouses & Databases: The AI Data Platform Battle
Databricks vs. Snowflake: The Gap Widens
The competitive dynamic between Databricks and Snowflake has shifted decisively. Databricks closed a $5 billion round at a $190 billion valuation in August 2026, a 42% jump from its $134 billion valuation just eight months earlier, while crossing a $7 billion revenue run-rate with 80%+ year-over-year growth. Snowflake trades publicly at a ~$114 billion market cap on $4.47 billion in FY26 revenue.
Databricks' Lakehouse product alone hit a $1.5 billion run-rate growing over 100% year-over-year, while the newer Lakebase database product crossed $100 million in run-rate. Over 1,000 customers now spend at a $1M+ annual rate, and 100+ have crossed $10 million.
What makes this round notable: Databricks is now valued at 1.6x its largest public rival — an unusual dynamic where a private company commands a significant premium over its public counterpart. The math behind that premium starts with growth velocity: Databricks accelerated from 65% YoY growth (December 2024 round) to 80%+ today — that's not deceleration, it's acceleration at scale, a combination that rarely happens in enterprise software.
The investor roster reads like an IPO readiness checklist: Coatue led the round, with Blackstone, MGX (Abu Dhabi's sovereign-linked fund), T. Rowe Price, and Sixth Street Growth joining alongside returning backers. When sovereign wealth funds and diversified asset managers enter at late-stage valuations, they're typically positioning for a public market exit within 12-24 months.
The Emerging AI Data Stack: VAST Data's $30B Valuation
VAST Data, the AI Operating System company, announced the closing of its Series F financing at a $30 billion valuation in April 2026, representing more than a threefold increase from its $9.1 billion Series E valuation in late 2023. The round, led by Drive Capital with participation from NVIDIA, Fidelity, and others, included primary and secondary capital totaling approximately $1 billion.
VAST Data's DASE (Disaggregated Shared Everything) architecture was designed to break longstanding tradeoffs between scale, simplicity, performance, and cost. Today, the VAST AI Operating System sits at the center of the AI transformation, unifying data, compute, and real-time processing into a single system.
From CoreWeave to Lowe's, from the U.S. Air Force to Cursor, thousands of organizations rely on VAST to store, contextualize, and act on data, supporting environments that power millions of GPUs. The company has surpassed $4 billion in cumulative bookings.
Vector Databases & AI Data Infrastructure
The vector database market has become a critical component of the AI infrastructure stack. Research and Markets projects the vector database market will grow from $3.73 billion in 2026 to $10.6 billion by 2032 at a 23.5% CAGR. This growth is driven by the explosion of AI applications requiring semantic search, retrieval-augmented generation (RAG), and real-time similarity matching.
The Vector Database Market Is Fragmenting, Not Disappearing
In 2025, Elastic's CEO declared that "Vector databases are a feature. They are never going to be a business in and of themselves." Yet Qdrant raised a $50M Series B in March 2026, crossed 250 million downloads, and reached 32,400 GitHub stars. Research and Markets projects the vector database market will grow from $3.73B in 2026 to $10.6B by 2032 at a 23.5% CAGR.
The market is fragmenting by scale and workload. PostgreSQL with pgvector now absorbs workloads under 50M vectors and reduces TCO by 40-60%, eliminating the need for a separate vector store for smaller use cases. Above 50M vectors, performance gaps become visible. Index build time increases with each new workload, and latency climbs from 50ms to 800ms past the 10M-embeddings mark on a 1TB RAM instance.
Billion-scale workloads expose what relational databases cannot sustain without continuous reconfiguration. TripAdvisor indexes 1B+ multimodal user reviews on Qdrant, and HubSpot runs Qdrant for its Breeze AI assistant. The key decision is matching the retrieval architecture to the workload instead of treating every AI use case the same.
Backup, Recovery & Cyber Resilience
Rubrik Delivers 10th Consecutive Quarter of Outperformance
Rubrik reported fiscal Q2 2027 results with adjusted earnings of $0.20 per share, well above the $0.04 analysts expected, and revenue of $427.3 million versus a forecast of $396.3 million. Subscription ARR reached $1.66 billion, up 33% year-over-year, with net new subscription ARR of about $96 million, up 35%. The company delivered its 10th consecutive quarter of outperformance as a public company.
Management highlighted growing demand for identity resilience and its newer agentic security products, arguing that AI is changing both the speed of attacks and the way companies must respond, pushing customers toward faster recovery tools, identity protection, and agent security. The company's growth story remains tied to a broader shift in cybersecurity: as AI accelerates attacks, the ability to recover quickly becomes as important as the ability to prevent breaches.
The CODEW Analysis
As AI makes enterprise data more valuable and more expensive to manage, is storage becoming a strategic layer of the AI infrastructure stack?
The answer is yes — and the market is reflecting this shift in real time. The $9.2 billion enterprise storage market, the $30 billion VAST Data valuation, and Databricks' $190 billion valuation are not anomalies; they are signals of a structural revaluation of data infrastructure in the AI era.
Three trends are driving this shift. First, AI workloads are creating new storage requirements. Training pipelines, inferencing workloads, and unstructured data activation are driving demand for high-performance, scalable storage that traditional enterprise storage architectures were not designed to handle. The 22.7% growth in enterprise storage spending and the all-flash transition reflect this new demand.
Second, the data platform layer is becoming as important as the model layer. Databricks' 80%+ growth at $7B+ ARR — accelerating rather than decelerating — suggests that enterprises are spending aggressively on the data layer that feeds AI models, not just the models themselves. The company's $190 billion valuation, exceeding its public rival Snowflake's market cap, reflects the market's conviction that data infrastructure is a critical bottleneck — and opportunity — in the AI stack.
Third, new categories are emerging at the intersection of data and AI. Vector databases, AI operating systems (VAST Data), and agentic security (Rubrik) are creating new markets where none existed a few years ago. The vector database market's projected 23.5% CAGR to $10.6B by 2032 and VAST Data's 3x valuation increase in 18 months demonstrate that the market is rewarding companies that can solve AI's data problems.
For enterprise buyers, the implication is clear: the era of treating storage and data management as a back-office function is ending. AI workloads are making data more valuable and more expensive to manage. The companies that can store, protect, govern, and move data efficiently will have a structural advantage in the AI economy. The storage and data management layer is no longer just infrastructure — it is becoming a strategic asset.
What to Watch Next
- Databricks IPO timeline: With sovereign wealth funds and diversified asset managers entering at late-stage valuations, the company is likely positioning for a public market exit within 12-24 months.
- Vector database market consolidation: Whether the vector database market remains fragmented or consolidates around a few winners as the market grows from $3.7B to $10.6B.
- AI storage attach rates: Whether enterprise storage growth continues to accelerate as AI server deployments drive complementary storage demand.
- Rubrik's agentic security products: Whether the company's newer agentic security offerings gain traction as AI accelerates attacks.
- All-flash transition: Whether all-flash arrays continue to gain share as AI workloads demand higher performance.
Source Attribution
- IDC — Worldwide External Enterprise Storage Systems Market Accelerates to 22.7% Growth in Q1 2026 (June 15, 2026)
- Dell Technologies — Q2 FY2026 Financial Results (August 23, 2026)
- NetApp — Q2 FY2026 Earnings Report (August 2026)
- Pure Storage — Q4 FY2026 Earnings (February 2026)
- Investing.com — Databricks IPO Outlook: $190B Valuation, 80% Growth (August 13, 2026)
- ValueAddVC — Databricks vs Snowflake in 2026 (August 25, 2026)
- Research and Markets — Vector Database Market Report 2026
- Qdrant — Series B Announcement (March 12, 2026)
- VAST Data — Series F Financing at $30B Valuation (April 22, 2026)
- Bloomberg — Nvidia-Backed Vast Data Raises $1B, Triples Valuation (April 22, 2026)
- Rubrik — Q2 FY2027 Earnings Report (August 27, 2026)
- Actian — State of Vector Databases Q2 2026 (July 24, 2026)
Reviewed by Erwin Castro
on
Tuesday, September 01, 2026
Rating: