Worldwide server revenue hit $122.6 billion in Q1 2026, up 30.4% year over year, and the vendor mix underneath that number moved faster than most procurement teams have registered. Unbranded ODM Direct supply, long the default channel for hyperscaler AI racks, slid from 64.1% of revenue a year earlier to 50.2% in Q1 2026, while Dell alone posted 244.1% growth to claim 16.5% share. This tracker pulls the quarterly vendor figures together in one place so UK buyers can delve deeper into AI server research before signing off the next infrastructure budget.
View the data behind this chart
| ODM Direct | Dell | Super Micro | Lenovo | HPE | Other OEMs | |
|---|---|---|---|---|---|---|
| Revenue share | %50.2 | %16.5 | %7.6 | %4.6 | %3 | %14.8 |
The AI Server Market in Mid-2026: Reading the Q1 Numbers
The headline figure for the quarter is worldwide server revenue of $122.6 billion, a 30.4% year-over-year increase, as reported in coverage of the Q1 2026 IDC-derived server market data. That total covers all server shipments, not AI-optimised systems alone, but the growth rate itself is a proxy for how much AI infrastructure spend is now flowing through the channel.
Underneath that figure, the more revealing shift is in who is capturing the revenue. ODM Direct — the unbranded, direct-to-hyperscaler manufacturing channel that has historically supplied the bulk of large-scale AI clusters — accounted for 50.2% of worldwide server revenue in Q1 2026. A year earlier, in Q1 2025, that same category held 64.1%. A roughly 14-percentage-point swing in twelve months is a large move for any market segment, and it is the central data point this tracker is built around.
How Big Is the AI Server Market? Sizing 2026 and Beyond
Beyond the quarter-by-quarter vendor shifts, a June 2026 market commentary drawing on Goldman Sachs research put the scale of the shift in perspective: it projected the AI server market climbing to $1.24 trillion by 2030, with traditional (non-AI) server revenue expected to surpass $160 billion over the same horizon. That framing helps explain why the Q1 2026 vendor movements above matter beyond a single quarter — if AI server revenue continues on that trajectory, the OEM-versus-ODM battle for share described throughout this tracker is a fight over an increasingly large and fast-growing pool of spend, not a one-off blip tied to a single product cycle.
TrendForce's own 2026 outlook material is consistent with that direction, noting that AI servers are expected to command a larger share of total server shipments as the year progresses, with rack-scale systems, Blackwell/Rubin platforms and HBM supply feeding sustained demand growth through Q4 2026 and beyond.
Global AI Server Market Share: Dell, Supermicro, Lenovo and HPE
Once ODM Direct is set aside, four branded vendors account for the rest of the identifiable Q1 2026 server revenue, with a residual bucket of smaller OEMs making up the remainder. Dell led the branded pack by a wide margin, followed by Super Micro, Lenovo and HPE, with the remaining non-ODM, non-top-five vendors collectively holding 14.8% of worldwide server revenue.
It is worth being precise about scope here: these are worldwide server revenue shares from the same quarterly dataset, not AI-server-only shipment shares, and they should not be read as a direct measure of AI accelerator unit volumes. But as a revenue-based lens on who is winning branded AI infrastructure business, the gap between Dell and the rest of the OEM field is the standout feature of the quarter.
- •Dell: 16.5% worldwide server revenue share, $20.2808 billion, +244.1% year over year
- •Super Micro: 7.6% share, $9.3310 billion, +128.9% year over year
- •Lenovo: 4.6% share, $5.6218 billion, +36.5% year over year
- •HPE: 3.0% share, $3.7195 billion, +17.2% year over year
- •Other OEMs (non-ODM, outside the top five): 14.8% of worldwide server revenue
Dell vs Supermicro: A Head-to-Head Battle for AI Server Revenue
On raw worldwide server revenue, Dell's $20.28 billion dwarfs Super Micro's $9.33 billion, and Dell's 244.1% year-over-year growth rate outpaces Super Micro's already strong 128.9%. Both companies are growing far faster than the overall 30.4% market rate, which confirms that AI-related demand is disproportionately flowing to these two branded vendors rather than being spread evenly across the OEM field.
A separate June 2026 market commentary sharpens the picture specifically for AI server revenue rather than total server revenue: it put Dell's AI server revenue share at 17% in Q1 2026, up from just 5% in Q1 2025. The same commentary broke that out by customer segment, showing Dell's share of neocloud AI server deployments rising to 48% from 24%, and its enterprise AI server share climbing to 47% from 17% over the same period. Those are distinct metrics from the worldwide server revenue shares above — an AI-server-specific channel breakdown rather than total server revenue — but together they show Dell converting AI demand into share gains across both hyperscaler-adjacent neocloud buyers and traditional enterprise accounts. Readers who want to see how the two vendors' current AI rack platforms stack up feature-for-feature can compare leading AI server models directly.
The ODM-to-OEM Shift: What's Actually Driving It
The ODM Direct category is an aggregate of unbranded manufacturing supply, and its 13.9-percentage-point drop between Q1 2025 and Q1 2026 cannot be attributed to a single vendor gain — it is a combined channel losing ground to branded OEM revenue reported by Dell, Super Micro, Lenovo, HPE and the smaller OEM bucket collectively. TrendForce's April 2026 server market report frames part of this shift structurally: it describes ODMs aggressively expanding from L6 to L11 and L12 manufacturing levels — deeper integration stages — as the market moves into what it calls the AI Factory era.
TrendForce's broader 2026 output reinforces that AI servers are expected to command a larger share of total server activity as the year progresses, a point made in its analysis covering the 4Q25 period and carried into its May 2026 bulletin, which explicitly tracked AI server and total server shipments from Q1 2025 through to projections for Q4 2026. Taken together, the manufacturing-level shift and the revenue-share data point in the same direction: branded OEMs are capturing more of the value chain even as ODMs restructure how deeply they integrate AI rack systems before shipment.
The Hyperscaler Effect and the Training-to-Inference Shift
Hyperscalers remain the largest single influence on AI server demand, and TrendForce's May 2026 AI server outlook notes that cloud providers were expanding capital expenditure and accelerating in-house ASIC development through 2026. That in-house chip development matters for OEM and ODM vendors alike: every workload a hyperscaler moves onto its own custom silicon is one that may bypass the GPU-server supply chain that Dell, Super Micro and the ODM channel currently compete for.
The brief data does not provide a quantified training-versus-inference revenue split for 2026, so any precise percentage breakdown between the two workload types should be treated with caution wherever it appears elsewhere. What is clear from the sourced material is the direction of travel: TrendForce's 4Q25 AI server analysis anticipated AI servers gaining a larger overall share of server activity through 2026, consistent with continued build-out on both the training and inference sides of hyperscaler and enterprise deployment.
View the data behind this chart
| Q1 2025 | Q1 2026 | |
|---|---|---|
| ODM Direct share | %64.1 | %50.2 |
Supply Chain Watch: Rack-Scale, HBM and Liquid Cooling
TrendForce's 2026 materials repeatedly flag rack-scale systems, Blackwell and Rubin-generation platforms, high-bandwidth memory (HBM) availability, and liquid cooling as the factors shaping AI server supply chains through the rest of 2026. None of these are new pressures individually, but their combination is what is reshaping vendor lead times: a rack-scale AI deployment now depends on GPU allocation, HBM supply, and liquid-cooling infrastructure readiness simultaneously, rather than a single component bottleneck.
For technical teams sizing a deployment, this means the conversation has moved well beyond server unit pricing. Buyers evaluating current GPU accelerator options as part of a rack-scale plan may find it useful to examine the latest GPU accelerators before locking in a vendor and rack design, given how tightly accelerator availability is now bound to cooling and power planning.
The UK AI Server Market: Procurement Priorities Beyond List Price
For UK buyers, the practical takeaway from this data is that the market story has shifted from commodity rack servers to AI racks, liquid cooling, and integration capacity. That reordering makes delivery dates, power density and service wrap more consequential to a project's success than the headline unit price of a server chassis.
The ODM-to-OEM shift also has a direct procurement implication in the UK: as branded vendors capture more of the revenue that previously ran through unbranded ODM channels, buyers may increasingly encounter more direct-source or co-designed supply arrangements. That makes it more important than ever to verify support terms, spares availability, and export or logistics lead times up front, rather than assuming a branded nameplate automatically shortens delivery. In practice, this favours UK organisations that evaluate suppliers on performance-per-watt and genuine deployment readiness rather than on brand recognition alone — particularly as both cloud and enterprise AI projects in the UK move toward larger rack-scale systems that demand more from facilities teams than a single server refresh once did.
Strategic Investment: A Guide for UK Businesses
Given the data above, UK IT and procurement leads planning AI infrastructure spend in the second half of 2026 should treat vendor market share as one input among several, not a standalone decision criterion. Dell's rapid AI server share gains and Super Micro's strong parallel growth both indicate healthy competitive supply at the OEM level, which is good news for buyers seeking alternatives to direct ODM sourcing.
Before committing budget, it is worth running actual workload requirements through a sizing exercise rather than benchmarking against headline vendor share figures alone — teams can calculate your own AI GPU requirements to translate planned training or inference workloads into realistic rack, power and cooling specifications. For organisations specifically evaluating Dell's current AI rack lineup given its Q1 2026 share gains, it is also worth reviewing what is actually available to order today by choosing to view Dell PowerEdge XE AI server products against the lead times and support terms your project timeline requires.
Sources
Every figure in this article traces to the sources below.
- •IT Daily — Q1 2026 worldwide server revenue and year-over-year growth
- •aboutchromebooks.com — Q1 2026 vendor-level worldwide server revenue share breakdown
- •TrendForce — May 2026 server market bulletin covering AI server and total server shipments
- •TrendForce — April 2026 report on ODM manufacturing-level expansion in the AI Factory era
- •TrendForce — May 2026 AI server outlook on hyperscaler capex and in-house ASIC development
- •TrendForce — January 2026 4Q25 AI server industry analysis on AI servers' growing share
- •Seeking Alpha — June 2026 commentary on Dell's AI server revenue share by channel and Goldman Sachs AI server market outlook
The 8 verified data points behind this study are free to download and reuse with attribution (CC BY 4.0).
Cite as: Servnet Research, “AI Server Market Share Tracker 2026: Dell vs Supermicro”, servnetuk.com, 2026.