AI Chip Market Share by Company

Explore the companies designing the chips that power artificial intelligence. From GPUs to custom accelerators, discover who's enabling the AI revolution.

Data updated 2026-06-11
AI Chips

The AI Chips sector on Sterling tracks 23 companies, led by NVIDIA (86%), AMD (8%), Broadcom (TPU+ASIC) (4%) by market share.

AI Chips market share by company (2025)

#CompanyMarket share
1
NVIDIANVDA

FY2025 AI accelerator revenue share; ~$190B+ data center revenue

86%
2
AMDAMD

AMD MI300X+MI325X+MI355 ramp; ~$20B AI accelerator revenue

8%
3

Custom Google TPU + Meta MTIA design wins

4%
4
Others (Intel, Cerebras, custom)

Intel Gaudi 3, Cerebras, AWS Trainium, smaller players

2%

AI Semiconductor Segments

GPUs & Accelerators

Companies designing AI training and inference chips: GPUs, custom ASICs, and accelerator platforms powering data centers worldwide.

NVIDIA logo

NVIDIA

Dominates with H100/B200 GPUs: ~80% of the AI accelerator market.

AMD logo

AMD

Challenges NVIDIA with MI300X/MI350 Instinct accelerators for data centers.

Intel logo

Intel

Competes with Gaudi 3 accelerators and upcoming Falcon Shores.

Broadcom logo

Broadcom

Designs custom AI ASICs (Google TPU, Meta MTIA) for hyperscalers.

Qualcomm logo

Qualcomm

Leads edge AI inference with Snapdragon and Cloud AI 100.

Foundries

The fabrication giants manufacturing AI chips at cutting-edge process nodes: a critical bottleneck in the AI supply chain.

TSMC logo

TSMC

Manufactures ~90% of leading-edge AI chips at 3nm/2nm nodes.

Samsung Electronics logo

Samsung Electronics

Second-largest foundry with 3nm GAA technology and HBM production.

Intel logo

Intel

Building Intel Foundry Services for external customers at Intel 18A node.

Memory (HBM)

High Bandwidth Memory is the critical bottleneck for AI accelerators: these three companies control the entire HBM market.

SK Hynix logo

SK Hynix

Market leader in HBM: supplies majority of NVIDIA's HBM3E chips.

Samsung Electronics logo

Samsung Electronics

Second-largest HBM producer, ramping HBM3E capacity aggressively.

Micron Technology logo

Micron Technology

Only US memory maker: rapidly expanding HBM3E production.

Equipment

The picks-and-shovels of the AI chip boom: companies making the machines that make the chips.

ASML Holding logo

ASML Holding

Monopoly on EUV lithography: every advanced AI chip requires ASML machines.

Applied Materials logo

Applied Materials

Largest equipment maker: deposition and etch tools in every fab.

Lam Research logo

Lam Research

Dominates plasma etch: critical for advanced chip patterning.

AI Chip Supply Chain: Who Does What

Where each company plays across the AI chip stack: from design (NVIDIA, AMD, Apple), to foundry (TSMC, Samsung), to HBM memory (SK Hynix, Micron), to advanced packaging (TSMC CoWoS), to networking (Broadcom, Marvell). Hover any cell for details.
NVIDIA logoNVIDIA
Chip DesignNetworkingFabricationMemory / HBMAdv. Packaging
AMD logoAMD
Chip DesignFabricationMemory / HBMAdv. PackagingNetworking
Broadcom logoBroadcom
Chip DesignNetworkingFabrication
Intel logoIntel
Chip DesignFabricationAdv. PackagingNetworking
Qualcomm logoQualcomm
Chip DesignNetworkingFabrication
Marvell logoMarvell
Chip DesignNetworkingFabrication
Monolithic Power logoMonolithic Power
Chip DesignFabrication
TSMC logoTSMC
FabricationAdv. Packaging
Samsung logoSamsung
FabricationMemory / HBMAdv. PackagingChip Design
SK Hynix logoSK Hynix
Memory / HBMAdv. Packaging
Micron logoMicron
Memory / HBMAdv. Packaging
Sandisk logoSandisk
Memory / HBMFabrication
ASML logoASML
Equipment
Applied Materials logoApplied Materials
Equipment
Lam Research logoLam Research
Equipment
KLA logoKLA
Test & MetrologyEquipment
Teradyne logoTeradyne
Test & MetrologyAdv. Packaging
Keysight logoKeysight
Test & MetrologyNetworking
Synopsys logoSynopsys
EDA & IPChip Design
Cadence logoCadence
EDA & IPChip Design
Qnity Electronics logoQnity Electronics
Materials & GasesAdv. Packaging
Linde logoLinde
Materials & Gases
Supermicro logoSupermicro
Systems & RacksChip Design

AI Accelerator Market Share

Revenue share of the AI accelerator market (the chips that train and run AI models) in 2024. NVIDIA holds roughly 90%; AMD's MI300 is the only credible alternative; Google's TPU (Tensor Processing Unit) is internal-only and not counted in merchant share.
NVIDIA88%
AMD8%
Intel1%
Others3%

Data Center Revenue by Company

Quarterly revenue from each chipmaker's data center segment: the AI-driven business line. NVIDIA's data center revenue surpassed Intel's entire company revenue in 2024; AMD's data center segment includes both EPYC CPUs and MI300 GPUs.

AI Revenue as % of Total Revenue

AI-related revenue as a share of each company's total revenue: a quick read on AI exposure. NVIDIA is approaching 90% AI-dependent; TSMC and SK Hynix are mid-range; broader semi companies like Texas Instruments are still mostly non-AI.

Semiconductor Capex: The Fab Investment Race

Annual capex (capital expenditure on new fabs and equipment) at TSMC, Samsung, and Intel. Each leading-edge fab costs $10–$30B; this chart shows the combined trillion-dollar bet that AI chip demand is durable.

Frequently asked questions

What is the AI Chips sector?

Explore the companies designing the chips that power artificial intelligence. From GPUs to custom accelerators, discover who's enabling the AI revolution.

Which companies lead the AI Chips sector?

Sterling tracks 23 companies in AI Chips, led by NVIDIA (86%), AMD (8%) and Broadcom (TPU+ASIC) (4%).

How can I invest in the AI Chips sector?

Publicly traded names in AI Chips include NVIDIA (NVDA), AMD (AMD), Broadcom (AVGO), Intel (INTC) and Qualcomm (QCOM). Compare them side by side on Sterling. Data last updated June 11, 2026.

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