The semiconductor industry underpins everything from smartphones to data centres, with chips driving advances in artificial intelligence and next-generation technologies. But which companies lead this sector by market value?
We've examined the biggest publicly listed semiconductor firms by market capitalisation – calculated by multiplying a company's share price by its number of outstanding shares – as of 5 May 2026.
Our rankings below show the leading semiconductor companies worldwide by market capitalisation, as of 5 May 2026. Each market cap is listed in US dollars (USD), alongside the latest share price and the company’s primary country of listing.
| Rank | Company | Market cap (USD) | Share price (USD) | Country |
|---|---|---|---|---|
| 1 | NVIDIA | $4.8tn | $198.48 | USA |
| 2 | TSMC | $2.1tn | $401.61 | Taiwan |
| 3 | Broadcom | $2tn | $416.50 | USA |
| 4 | Samsung | $1tn | $157.59 | S. Korea |
| 5 | SK Hynix | $695.1bn | $980.80 | S. Korea |
| 6 | Micron Technology | $650.1bn | $576.45 | USA |
| 7 | AMD | $556.9bn | $341.54 | USA |
| 8 | ASML | $534.3bn | $1,386 | Netherlands |
| 9 | Intel | $481.4bn | $95.78 | USA |
| 10 | Lam Research | $323.4bn | $258.57 | USA |
The information on this page is based on data from public company disclosures, including SEC filings and EDGAR. It is provided for informational purposes only and does not constitute investment advice or a recommendation to trade. While believed to be accurate as of the stated dates, the figures may be updated without notice.
A semiconductor company's market cap reflects both current revenue and expectations for future earnings, which can leave valuations exposed to sharp shifts in sentiment. The main drivers include AI infrastructure build-out, cyclical chip demand, interest rates and technological leadership. Growth-stage chip designers can trade at higher price-to-earnings multiples than equipment or memory firms, as markets price in potential long-term earnings from AI-linked workloads. Memory chipmakers, by contrast, often see valuations move with DRAM and NAND pricing cycles, where supply and demand imbalances can compress or expand margins (Britannica Money, accessed 5 May 2026).
Artificial intelligence has become one of the main demand drivers across the global semiconductor industry. Global semiconductor sales reached $795.6bn in 2025 – a 26.2% year-on-year increase and one of the strongest annual expansions in the industry's history – with data centre and AI infrastructure spending among the key contributors (WSTS, accessed 5 May 2026). The computer segment grew by more than 60% over the same period. This shift has lifted demand for AI accelerators, high-bandwidth memory and advanced logic chips, changing the sector's traditional demand mix and moving some previously niche chip categories into larger revenue pools (Semiconductor Industry Association, 6 February 2026).
High-bandwidth memory (HBM) has become a more prominent chip category in the current cycle. By 2026, HBM accounts for roughly 25% of total DRAM wafer production, as AI model training and inference workloads require significantly greater memory bandwidth than conventional computing applications (Patsnap, 31 March 2026). AI and machine learning training and inference alone account for more than 55% of total HBM demand in 2026. This structural shift has made parts of the memory market less purely commodity-led, with HBM acting as a more differentiated product category closely tied to AI hardware cycles (TrendForce, 17 October 2025).
Advances in chip manufacturing nodes remain an important competitive differentiator. Cutting-edge 2nm-class wafers are reported to cost around $30,000 per wafer – a 10–20% premium over 3nm production – reflecting the substantial capital intensity of leading-edge chip manufacturing (Astute Group, 16 June 2025). Extreme ultraviolet (EUV) lithography equipment, which is essential for manufacturing at these nodes, is among the highest-cost and most strategically controlled inputs in the semiconductor supply chain. As advanced manufacturing capacity is concentrated in a small number of facilities worldwide, demand spikes or disruption at individual fabs can have outsized ripple effects across global chip supply (Semiwiki, 26 February 2026).
Learn more about market capitalisation.
Semiconductor investing means gaining exposure to companies that design, manufacture or supply equipment for computer chips. This could involve buying shares directly or trading contracts for difference (CFDs) – derivatives that allow you to speculate on price movements without owning the underlying asset. Semiconductor stock prices are volatile due to cyclical demand, technological change and geopolitical factors, and this volatility is further magnified in CFD trading when trading on margin. Prices may shift in line with technology trends, supply chain changes and wider economic events.
To trade semiconductor share CFDs, you'll need to open and verify an account with a regulated CFD provider. After that, you can fund your account and use the trading platform. It's important to understand market dynamics, research the companies you’re interested in, and consider using a demo account before trading with real funds.
Start by researching each company’s financial position, market role and technology pipeline. Semiconductor stocks can be highly volatile because of cyclical demand, rapid technological advances, and supply chain pressures – risks that increase when trading leveraged CFDs. Make sure to use risk management tools such as stop-loss orders, diversify your exposure across different chipmakers, and never risk more than you can afford to lose. Standard stop-loss orders cannot guarantee execution at your chosen price during volatile conditions, while guaranteed stop-loss orders incur a fee if activated.
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