Nvidia GPU Market Share 2026
By Axis Intelligence Research
Co-author: Sarah Mitchell | Last updated: July 14, 2026 | License: CC BY 4.0
Nvidia held 90% of discrete add-in-board GPU shipments in Q1 2026, according to Jon Peddie Research — its highest sustained position in the modern era of the discrete GPU market. In AI data center accelerators, Nvidia’s Q1 FY2027 revenue of $75.2 billion represented 87.4% of the combined merchant data center revenues reported by Nvidia, AMD, and Intel together, according to Axis Intelligence Research’s calculation from each company’s respective SEC filings.
Quick Answer
Nvidia dominates every segment of the GPU market in 2026. In discrete consumer GPUs (add-in boards), Nvidia held 90% of shipments in Q1 2026 per Jon Peddie Research, with AMD at 8% and Intel at 1%. In AI data center accelerators, Nvidia’s revenue share versus the three largest merchant vendors was 87.4% in Q1 2026. On Steam’s installed-base survey, Nvidia held approximately 72% of all GPUs in active gaming use as of June 2026. According to Axis Intelligence Research, the NGISI™ (Nvidia GPU Installed Base Supremacy Index), which weights these three dimensions, stood at 85.1 for Q1 2026 — near-structural dominance, not yet a technical monopoly.
Key Findings
- According to Axis Intelligence Research, the NGISI™ (Nvidia GPU Installed Base Supremacy Index) for Q1 2026 is 85.1 out of 100, combining Nvidia’s 87.4% AI data center revenue share (weighted 50%), 90% discrete GPU shipment share (weighted 30%), and 72% Steam installed-base share (weighted 20%) — the most complete cross-segment measure of Nvidia GPU dominance published as of July 2026.
- According to Jon Peddie Research (Q4 2025), Nvidia reached 94% of discrete add-in-board GPU shipments in Q4 2025 — described as “a new all-time high in recent reports” — before settling at 90% in Q1 2026 as AMD’s RDNA 4 cards began appearing in the data.
- According to Axis Intelligence Research’s calculation from SEC filings, Nvidia’s Q1 FY2027 data center revenue of $75.2 billion represented 87.4% of the $86.075 billion combined merchant data center total reported by Nvidia, AMD ($5.775 billion), and Intel ($5.1 billion) in Q1 2026.
- According to Valve’s Steam Hardware Survey for June 2026, the most common GPU on the platform was the NVIDIA GeForce RTX 4060 Laptop GPU at 3.81%, marking the first time in Steam history that a mobile GPU topped the chart — and Nvidia held approximately 72% of all surveyed GPU configurations.
- According to Axis Intelligence Research, AMD’s 57.2% year-over-year growth in data center revenue (Q1 2025 to Q1 2026, per AMD Form 10-Q) is the most significant structural signal in the competitive landscape — AMD is growing fast from a base so much smaller than Nvidia’s that absolute revenue distance is still widening quarter over quarter.
What Is Nvidia’s Discrete GPU Market Share?
Nvidia’s market share in discrete add-in-board (AIB) GPUs — standalone graphics cards for desktop PCs and workstations — reached its highest levels on record in 2025 before settling at 90% in Q1 2026.
Jon Peddie Research, the primary tracking firm for this segment, reports shipment share quarterly. The data covers add-in boards shipped to OEMs and the retail channel — units leaving manufacturer hands, not point-of-sale purchases. That distinction matters: stockpiling by OEMs anticipating price hikes (driven by AI-related HBM demand and tariffs) may inflate some quarters. JPR itself noted in its Q1 2026 report that the data likely reflects some channel build-ahead.
The 2025 trajectory was unusually one-directional. Nvidia entered the year with 92% of AIB shipments in Q1, held or grew that share through Q2 and Q3, and exited at 94% in Q4. AMD ran the opposite direction — from approximately 8% at the start of 2025 to 5% by Q4, the lowest level JPR had recorded in the modern era. The cause was structural, not cyclical: AMD announced in 2024 that it would focus on the mainstream segment rather than chasing Nvidia at the high end. By late 2025 it had abandoned the high-end tier almost entirely, while Nvidia’s RTX 50-series — the GeForce RTX 5090 above $2,000 MSRP, the RTX 5080 at $999 — took the premium market nearly unopposed.
Q1 2026 showed the first signs of re-equilibration: Nvidia fell from 94% to 90%, AMD recovered from 5% to 8%, and Intel held at 1%. According to Jon Peddie Research’s Q1 2026 Market Watch report, total GPU shipments fell 7.5% from the prior quarter — consistent with seasonal Q1 deceleration — while data center GPUs grew 19% within the same period.
Discrete AIB GPU Market Share — Quarterly 2025 to Q1 2026
| Quarter | Nvidia AIB Share | AMD AIB Share | Intel AIB Share | Total AIBs Shipped | Source |
|---|---|---|---|---|---|
| Q1 2025 | 92% | 8% | 0% | 9.2M units | Jon Peddie Research |
| Q2 2025 | 94% | ~5% | 1% | ~11M units | Jon Peddie Research |
| Q3 2025 | 92% | ~7% | 1% | 12.0M units | Jon Peddie Research |
| Q4 2025 | 94% | 5% | 1% | 11.48M units | Jon Peddie Research |
| Q1 2026 | 90% | 8% | 1% | 11.8M units | Jon Peddie Research |
| Full Year 2025 | ~92% avg | ~6% avg | ~1% avg | 44.28M units | Jon Peddie Research |
Source: Jon Peddie Research quarterly AIB Market Watch reports, Q1 2025 through Q1 2026. Via Tom’s Hardware (March 7, 2026); KitGuru (June 11, 2026); WindowsCentral (June 2026); TechPowerUp (September 2025, March 2026).
The full-year 2025 figure of 44.28 million AIB units shipped was the second highest in this decade, per Jon Peddie Research via Tom’s Hardware. One caveat: the AIB market is being compressed from two directions simultaneously. From the bottom, more affordable laptops and notebooks with high-performance integrated graphics are reducing the addressable market for entry-level discrete cards. From the top, AI-driven HBM demand is raising memory costs, pushing gaming GPU prices higher. JPR forecast a nearly 10% decline in AIB shipments in 2026 — a market volume story, not a Nvidia competitive story.
What Is Nvidia’s GPU Market Share Including Integrated Graphics?
When integrated graphics are included — the GPU cores built into Intel and AMD CPUs — the market share picture changes entirely.
In Q3 2025, Jon Peddie Research reported that across all PC GPU shipments (discrete and integrated), Intel led with approximately 61%, followed by Nvidia at 24% and AMD at 15%. This is not a contradiction of Nvidia’s discrete dominance — it reflects that Intel ships hundreds of millions of CPUs per year with integrated graphics, each of which counts as a GPU shipment in this broader view.
The Valve Steam Hardware Survey provides a more useful lens for gaming specifically, because it measures active use rather than shipments. Steam surveys opt-in users monthly across more than 147 million monthly active players and reports the GPU models actually running.
According to the Valve Steam Hardware Survey for June 2026, Nvidia held approximately 72% of all surveyed GPU configurations on Steam, with AMD at 19.13% — up significantly from AMD’s low of approximately 10.6% in recent quarters. The Steam share reflects installed base rather than new shipments: many AMD GPUs on Steam are several generations old, and survey accuracy for AMD improved in 2026 as previously untracked cards began registering under specific model names rather than the catch-all “AMD Radeon Graphics” category.
The RTX 3060, launched in 2021, remained the most common GPU on Steam in April 2026 at 3.99% — replaced in June 2026 by the RTX 4060 Laptop GPU at 3.81%, the first time a mobile GPU topped the Steam chart. That fact alone captures something important about 2026 hardware economics: the GPU refresh cycle is stalling in the consumer market as complete laptop systems ship faster than discrete card upgrades.
GPU Market Share by Measurement Type — Mid-2026
| Measurement Type | Nvidia | AMD | Intel | Methodology | Source |
|---|---|---|---|---|---|
| Discrete AIB shipments (Q1 2026) | 90% | 8% | 1% | Units leaving factory/distribution | Jon Peddie Research |
| All PC GPU shipments incl. iGPU (Q3 2025) | 24% | 15% | 61% | All GPUs in PC shipments | Jon Peddie Research |
| Steam installed base (June 2026) | ~72% | 19.13% | ~7% | Opt-in survey, active gaming PCs | Valve Steam Hardware Survey |
Source: Jon Peddie Research Q1 2026 and Q3 2025 Market Watch; Valve Steam Hardware Survey June 2026 via The FPS Review (July 6, 2026)
What Is Nvidia’s AI Data Center GPU Market Share?
The AI data center segment is where Nvidia’s GPU dominance is most consequential — for revenue and for the structure of the AI industry itself.
According to Axis Intelligence Research’s calculation from SEC-filed earnings, Nvidia’s data center revenue of $75.2 billion in Q1 FY2027 (the quarter ended April 26, 2026) represented 87.4% of the combined $86.075 billion in data center revenues reported by Nvidia, AMD, and Intel in Q1 2026. The inputs: Nvidia Q1 FY2027 8-K (SEC EDGAR), AMD Form 10-Q Q1 2026 (SEC EDGAR), and Intel’s Q1 2026 earnings disclosure.
Third-party market research firms produce broader estimates. IDC, Bloomberg Intelligence, and TrendForce each put Nvidia’s share of the AI accelerator market at approximately 80-88% as of mid-2026. The range is wider than the SEC-based calculation because third-party estimates attempt to include custom silicon from Google (TPU), Amazon (Trainium), and Microsoft (Maia) in the denominator — none of which publish external revenue. When hyperscaler custom ASICs are included as part of total AI compute deployment, Nvidia’s revenue share falls to the 75-80% range.
For training workloads specifically, Nvidia’s share exceeds 90% of the merchant market. The CUDA software ecosystem makes training clusters far harder to substitute — training runs for frontier AI models coordinate thousands of GPUs with deeply optimized kernels that took years to build on CUDA. For inference, Nvidia’s share is lower, in the 60-75% range, as AMD MI300X, Google TPU, and AWS Trainium have all found commercial traction in cost-sensitive inference deployments.
For Nvidia’s complete financial data — annual revenue, net income, market capitalization, R&D spending, and the NRVI™ efficiency index — see Axis Intelligence Research’s Nvidia Statistics 2026, which covers the full picture from FY2022 through Q1 FY2027.
Nvidia vs AMD vs Intel — AI Data Center Revenue Q1 2026
| Vendor | Q1 2026 DC Revenue | YoY Growth | Share of 3-Vendor Total | Source |
|---|---|---|---|---|
| Nvidia | $75,200M | +92% | 87.4% | NVIDIA 8-K May 20, 2026 (SEC) |
| AMD | $5,775M | +57% | 6.7% | AMD 10-Q Mar 28, 2026 (SEC) |
| Intel (DCAI) | $5,100M | +22% | 5.9% | Intel Q1 2026 earnings |
| Combined | $86,075M | — | 100% | Axis Intelligence Research |
AMD and Intel data center segments include CPU server revenue alongside GPU/accelerator revenue. The shares above overstate pure-GPU challenger share relative to Nvidia’s GPU-specific revenue.
Source: NVIDIA 8-K Q4 FY2026 (SEC); AMD 10-Q Q1 2026 (SEC); Intel Q1 2026 earnings
For the full AI chip competitive landscape including Broadcom’s custom ASIC position and the ACDI™ index, see Axis Intelligence Research’s AI Chip Market Share 2026.
The NGISI™ — Nvidia GPU Installed Base Supremacy Index
This is an original Axis Intelligence Research metric. The NGISI™ provides a single cross-segment reading of Nvidia GPU market dominance by combining three independently measured share figures across the three most important GPU deployment contexts.
Formula: NGISI™ = (AI Data Center Revenue Share × 0.50) + (Discrete AIB Shipment Share × 0.30) + (Gaming Installed Base Share × 0.20)
Why these weights: AI data center carries 50% because it drives Nvidia’s revenue and strategic positioning in 2026 — this is where the economic value of GPU dominance concentrates. Discrete AIB shipments carry 30% because they measure the flow of new hardware entering the market. Gaming installed base carries 20% because it is the largest by unit count but changes most slowly, reflecting the past more than the present.
Inputs (Q1 2026, all from primary sources):
- AI data center revenue share: 87.4% — Axis Intelligence Research calculation from NVIDIA, AMD, and Intel SEC filings (Q1 2026)
- Discrete AIB shipment share: 90% — Jon Peddie Research Q1 2026 Market Watch
- Gaming installed base share: 72% — Valve Steam Hardware Survey June 2026
Calculation: NGISI™ = (87.4 × 0.50) + (90.0 × 0.30) + (72.0 × 0.20) NGISI™ = 43.70 + 27.00 + 14.40 NGISI™ Q1 2026 = 85.1
Interpretation: A score of 100 would represent complete monopoly across all three segments. A score of 33.3 would represent equal three-way competition. The Q1 2026 reading of 85.1 places Nvidia in what Axis Intelligence Research characterizes as near-structural dominance — a position that is self-reinforcing through software ecosystem, supply chain positioning, and installed-base inertia, but not without meaningful competition from AMD in both gaming and AI inference.
The gaming installed base (72% on Steam) is the largest drag on the index relative to the other two inputs. Nvidia’s AIB shipment share (90%) implies the installed base gap will widen further as new cards enter service — but the pace depends on GPU upgrade cycles, which have been slowing as prices rise.
Limitations: The three components measure different things at different points in time — Q1 2026 for data center and shipments, June 2026 for installed base. They also use different denominators: revenue for data center, unit shipments for discrete GPUs, and active surveyed systems for installed base. The weights represent Axis Intelligence Research’s editorial judgment of relative strategic importance; alternative weight allocations would produce different readings. Methodology version: NGISI™ v1.0, July 2026. Updated quarterly.
According to Axis Intelligence Research, if AMD’s 57% year-over-year data center revenue growth continues through full-year 2026 while Nvidia’s growth decelerates from 92% (as the base grows), the NGISI™ data center component will compress — but the overall index will remain above 80 unless AMD achieves simultaneous share gains across all three segments.
Why Does Nvidia Hold Such High GPU Market Share?
The answer operates at three layers: hardware, software, and supply chain.
The CUDA software moat
CUDA launched in 2007. Jensen Huang described it at GTC 2026 as a “CUDA flywheel”: an installed base of hundreds of millions of CUDA-enabled GPUs attracts developers, who write optimized software, which makes the platform more valuable, which justifies continued investment in Nvidia hardware. By 2026, CUDA spans an estimated 4+ million developers and more than 3,000 GPU-accelerated applications, per AMD investor relations data cited by Compute Market (June 2026).
The switching cost this creates is measurable. SemiAnalysis’s independent testing found that training workloads on AMD’s MI300X required significantly more engineering effort than Nvidia’s hardware to reach equivalent performance, with AMD’s software stack still lagging on multi-node training efficiency. Microsoft runs production AI inference workloads on MI300X through ONNX Runtime with no CUDA dependency — a signal that inference is the more contestable workload precisely because it requires less framework-level customization.
According to Axis Intelligence Research, the CUDA moat is more durable for training than for inference. Inference workloads prioritize cost-per-token over software ecosystem fit, which is why AMD, Google TPU, and AWS Trainium have all found genuine traction in production inference but have made limited headway in large-scale model training.
Supply chain positioning
Nvidia has reportedly booked approximately 60% of TSMC’s CoWoS advanced packaging capacity for 2026, per Morgan Stanley analysis. CoWoS — required for every modern AI accelerator that stacks HBM memory on the logic die — is a manufacturing chokepoint where TSMC is the sole supplier. This capacity allocation is a structural production barrier for competitors independent of chip design quality: AMD’s MI350 and MI400 are limited in scalable production not by engineering but by packaging supply allocation.
The RTX 50-series deliberate strategy
In consumer gaming, Nvidia’s 90-94% AIB share in 2025-2026 reflects deliberate pricing strategy as much as competitive performance. Nvidia moved up-market: RTX 5090 above $2,000, RTX 5080 at $999. AMD, having signaled it would not chase the high end, left the $500+ segment almost entirely to Nvidia. AMD hit 5% AIB share in Q4 2025 — not because AMD GPUs performed poorly in the segments they targeted, but because AMD ceded the tiers that drive most revenue per unit.
How Is AMD Competing With Nvidia in GPUs?
AMD is the only meaningful merchant competitor to Nvidia in both the gaming discrete GPU market and the AI data center accelerator market.
In AI data centers: AMD’s MI300X and successors (MI325X, MI350) have achieved commercial adoption at several hyperscalers. Meta deployed approximately 173,000 MI300X units as part of its AI accelerator fleet, per AMD investor relations. Microsoft runs production AI inference workloads on MI300X through ONNX Runtime. The MI300X’s key competitive advantage is memory: 192GB of HBM3 in a single GPU, enabling inference of models that require multiple H100s to fit. At high batch sizes and long-context inference, MI300X has matched H100 performance in independent benchmarks, per Silicon Analysts (April 2026). AMD’s Q1 2026 data center revenue of $5.775 billion, up 57.2% year-over-year, is confirmed in AMD’s Form 10-Q Q1 2026 (SEC EDGAR).
AMD also issued warrants to OpenAI (October 2025) and Meta (February 2026) tied to Instinct GPU purchase milestones — an unusual structure signaling long-term customer commitment to AMD silicon.
In gaming: AMD’s RDNA 4 launch (Radeon RX 9070 and 9070 XT) received strong reviews for price-to-performance. Lisa Su stated the RX 9070 XT outsold its predecessors by 10× in its first week. Despite that, AIB shipment share continued declining because AMD’s products were priced in the mainstream segment where Nvidia’s mid-range Blackwell cards were also competing effectively, and where Nvidia was taking all high-end volume unopposed.
The gap in ROCm — AMD’s open-source CUDA alternative — closed in 2025-2026 for inference workloads. PyTorch 2.9 offers native ROCm support, and frameworks like vLLM and SGLang abstract away the CUDA/ROCm difference almost entirely for inference. For training, the gap remains wider and more consequential.
According to Axis Intelligence Research, AMD’s most credible path to narrowing Nvidia’s GPU market share is inference-first: winning cost-sensitive production inference deployments at hyperscalers, which requires better cost-per-token economics rather than CUDA parity. AMD’s MI350 and projected MI400 series are explicitly targeting this workload profile.
How Dominant Is Nvidia in Gaming GPU Revenue?
Nvidia’s gaming segment generated $16.04 billion in full fiscal year 2026, up 41.3% from $11.35 billion in FY2025, per NVIDIA’s Q4 FY2026 8-K (SEC EDGAR). The RTX 50-series launch cycle drove the growth, along with Nintendo Switch 2’s Nvidia-designed SoC contributing OEM revenue.
Gaming’s share of Nvidia’s total revenue collapsed from approximately 17% in FY2024 to 7.4% in FY2026 — not because gaming is shrinking, but because data center grew from $47.5 billion to $193.7 billion in the same period. At $16 billion, Nvidia’s gaming segment would rank among the top 15 semiconductor companies globally if it were a standalone business.
Nvidia is optimizing gaming for margin, not volume. The RTX 5090 at $2,000+ MSRP generates more revenue from fewer units sold — rational for a company generating $75.2 billion per quarter from data centers. What this means for AIB market share: the market may bifurcate. High-end discrete GPU shipments consolidate on Nvidia premium buyers; the mainstream and entry segments face increasing competition from integrated graphics in CPUs and APUs. AMD’s integrated GPU strategy (Ryzen APUs with Radeon iGPUs) could capture volume not counted in AIB shipment data at all.
Nvidia GPU Market Share by Geography
Nvidia’s data center revenue is geographically concentrated in the United States and Taiwan. Per NVIDIA’s Q4 FY2026 8-K (SEC EDGAR), which adopted a customer headquarters-location methodology starting Q3 FY2026:
| Geography | FY2026 Revenue | FY2026 Share | YoY Growth |
|---|---|---|---|
| United States | $149.62B | 69.3% | +144.2% |
| Taiwan | $42.35B | 19.6% | +105.8% |
| China | $19.68B | 9.1% | +15.0% |
| Other Americas | $4.30B | 2.0% | –45.4% |
Source: NVIDIA 8-K Q4 FY2026 (SEC EDGAR), February 25, 2026
China’s $19.68 billion — modest 15% growth against the company’s 65% overall rate — reflects the cumulative effect of U.S. export controls on advanced AI chips. Nvidia’s Q1 FY2027 earnings explicitly excluded any Data Center compute revenue from China in Q2 FY2027 guidance. China’s domestic GPU market is being increasingly served by Huawei’s Ascend 910B and 950PR accelerators, which are CUDA-incompatible — meaning Chinese AI developers are being pushed toward a parallel ecosystem outside Nvidia’s GPU market share entirely.
According to Axis Intelligence Research, the geographic story for GPU market share is simpler than the financial geography suggests: in any jurisdiction where U.S. export controls permit Nvidia to sell, Nvidia holds the dominant position. The GPU market segment that cannot access Nvidia is developing its own supply chains — a distinct market, not a contested one.
Methodology
All quantitative claims in this article derive from primary documents fetched during production. Jon Peddie Research market share figures are sourced from JPR press releases, cited via reporting in Tom’s Hardware, KitGuru, WindowsCentral, TechPowerUp, and PCWorld that directly quote or link to JPR releases. Nvidia, AMD, and Intel revenue figures come from SEC-filed 8-K and 10-Q documents. Valve Steam Hardware Survey data is cited from the official Steam survey and reporting by The FPS Review (July 2026) that directly references the survey. AMD investor relations figures (Meta MI300X units, warrant agreements) are cited via coverage that attributes AMD investor relations as the source.
NGISI™ methodology: Formula, inputs, weights, and limitations are disclosed fully in the NGISI™ section above. The metric is not endorsed by or affiliated with Jon Peddie Research, Valve, or any third-party data source. It will be recalculated quarterly. Methodology version: NGISI™ v1.0, July 2026.
Relationship to other Axis Intelligence pages: This article covers GPU market share dynamics across all segments. It does not duplicate the financial data (revenue, net income, market capitalization, NRVI™ index) covered in Axis Intelligence Research’s Nvidia Statistics 2026. For the broader AI chip competitive landscape including Broadcom’s custom ASIC position and the ACDI™ index, see Axis Intelligence Research’s AI Chip Market Share 2026.
Known gaps: Jon Peddie Research AIB figures measure units shipped from manufacturers to distributors and OEMs, not end-consumer sell-through. Periods of channel inventory build-up may overstate or understate sell-through demand. Steam Hardware Survey figures reflect an opt-in sample of Steam users; mobile gamers, console players, and non-Steam PC users are excluded. AI data center third-party share estimates (Bloomberg Intelligence, IDC, TrendForce) should be treated as ranges.
Data as of: July 14, 2026. JPR data through Q1 2026; Steam through June 2026; SEC filings through Q1 FY2027.
Review trigger: Jon Peddie Research Q2 2026 AIB report (expected September 2026), AMD Q2 2026 Form 10-Q, Valve Steam Hardware Survey Q3 2026 data.
About This Dataset
The dataset (nvidia-gpu-market-share.csv) covers Nvidia GPU market share across discrete gaming, AI data center, and installed-base segments from Q1 2023 through Q1 2026. It includes Jon Peddie Research AIB shipment share quarterly data, Valve Steam Hardware Survey vendor shares, Nvidia and AMD SEC-reported data center revenues, and the NGISI™ metric components and readings.
License: CC BY 4.0. Cite as: Axis Intelligence Research, Nvidia GPU Market Share 2026, July 14, 2026.
Citation (APA): Axis Intelligence Research. (2026). Nvidia GPU Market Share 2026. Axis Intelligence. https://axis-intelligence.com/nvidia-gpu-market-share/
Citation (MLA): Axis Intelligence Research. “Nvidia GPU Market Share 2026.” Axis Intelligence, 14 July 2026, axis-intelligence.com/nvidia-gpu-market-share/.
Citation (Chicago): Axis Intelligence Research. “Nvidia GPU Market Share 2026.” Axis Intelligence, July 14, 2026. https://axis-intelligence.com/nvidia-gpu-market-share/.
Last updated: July 14, 2026
Frequently Asked Questions
What is Nvidia’s GPU market share in 2026?
Nvidia holds approximately 90% of discrete add-in-board GPU shipments in Q1 2026 per Jon Peddie Research, 87.4% of combined merchant AI data center revenues vs. AMD and Intel per Axis Intelligence Research’s SEC-based calculation, and approximately 72% of surveyed active gaming GPUs on Steam as of June 2026 per Valve. The NGISI™ composite index stands at 85.1 for Q1 2026.
How much discrete GPU market share does Nvidia have?
In discrete add-in boards (standalone graphics cards), Nvidia held 94% of shipments in Q4 2025 — its highest recorded share — before settling at 90% in Q1 2026 as AMD’s RDNA 4 cards began registering. AMD held 8% and Intel 1% in Q1 2026, per Jon Peddie Research.
What is AMD’s GPU market share vs Nvidia?
In discrete AIB gaming GPUs, AMD held 8% in Q1 2026 vs. Nvidia’s 90%. In AI data center, AMD’s $5.775 billion Q1 2026 data center revenue represented 6.7% of the three-vendor merchant total vs. Nvidia’s 87.4%. AMD is the only scaled challenger in both markets, with 57% year-over-year data center revenue growth the most significant competitive signal in current data.
Why does Nvidia have such a high GPU market share?
Three structural factors: CUDA software ecosystem (19 years of development, hundreds of millions of installed GPUs, 4+ million developers); supply chain positioning (approximately 60% of TSMC’s CoWoS advanced packaging capacity reportedly reserved for Nvidia in 2026, per Morgan Stanley analysis); and deliberate positioning in the high-end GPU segment that AMD has ceded. For AI data centers, CUDA lock-in in training workloads is the primary barrier to substitution.
Is Nvidia’s GPU market share declining?
In discrete gaming GPUs, Nvidia’s share declined from 94% in Q4 2025 to 90% in Q1 2026 — the first meaningful move in AMD’s direction in several quarters. In AI data centers, Nvidia’s revenue share vs. AMD and Intel compressed slightly as AMD’s 57% revenue growth outpaced Nvidia’s sequential gains — but Nvidia’s absolute data center revenue still grew $12.9 billion in a single quarter (Q4 FY2026 to Q1 FY2027, from SEC filings).
What GPU does Nvidia sell for AI in 2026?
Nvidia’s primary AI data center GPUs in active production during 2026 are the Blackwell generation: B200 (192GB HBM3e, approximately 9 PFLOPS FP8) and the Blackwell Ultra B300 (288GB HBM3e). The Vera Rubin GPU, part of the seven-chip Vera Rubin platform, entered full production in H2 2026. For gaming, the RTX 5090, 5080, 5070, and 5060 cover the GeForce lineup under the Blackwell architecture.
How does the NGISI™ measure Nvidia’s GPU dominance?
The NVIDIA GPU Installed Base Supremacy Index is an original metric by Axis Intelligence Research: NGISI™ = (AI data center revenue share × 50%) + (discrete AIB shipment share × 30%) + (Steam gaming installed base share × 20%). The Q1 2026 reading of 85.1 represents near-structural dominance — a position self-reinforced through software ecosystem, supply chain, and installed-base inertia — across all three measured GPU market segments.
What is the difference between Nvidia’s discrete and total GPU market share?
Discrete GPU market share (90% in Q1 2026 per JPR) covers only standalone add-in graphics cards — the market most relevant to gamers and workstation users. Total GPU market share including integrated graphics — the GPU cores in Intel and AMD CPUs — puts Intel at approximately 61% because Intel ships hundreds of millions of CPUs per year. The discrete market is where Nvidia’s strategic GPU competition plays out; the integrated market largely reflects CPU shipment volumes.
Co-authored by Axis Intelligence Research and Sarah Mitchell, AI/Tech Analyst at Axis Intelligence.