HomeMarkets overviewSharesLargest AI companies by market cap 2026
We’ve looked at the largest publicly listed AI stocks by market capitalisation – calculated by multiplying a company’s share price by its total number of outstanding shares – as of 28 August 2026.
Artificial intelligence (AI) spans a broad range of listed companies, from semiconductor designers and cloud providers to software developers, autonomous systems and digital platforms.
Market capitalisation generally equals a company’s share price multiplied by its number of outstanding shares. Because share prices and exchange rates change, market caps and rankings can change too. These figures represent a snapshot rather than synchronised closing prices across global exchanges.
Our ranking shows the largest global AI shares, ordered by market capitalisation as of 28 August 2026. Each company's market cap is shown in US dollars (USD), alongside their latest share price and primary country of listing.
| Rank | Company | Market cap (USD) | Share price (USD equivalent) | Country |
|---|---|---|---|---|
| 1 | NVIDIA | $5.51tn | $227.98 | USA |
| 2 | Apple | $4.59tn | $314.58 | USA |
| 3 | Alphabet (Google) | $4.13tn | $337.71 | USA |
| 4 | Microsoft | $3.75tn | $505.06 | USA |
| 5 | SpaceX | $1.86tn | $140.87 | USA |
| 6 | Meta Platforms (Facebook) | $1.45tn | $571.10 | USA |
| 7 | Tesla | $1.4tn | $354.81 | USA |
| 8 | Palantir | $446.8bn | $185.93 | USA |
| 9 | Oracle | $437.65bn | $151.94 | USA |
| 10 | Alibaba | $289.1bn | $116.31 | China |
| 11 | IBM | $224.97bn | $238.79 | USA |
| 12 | Adobe | $114.93bn | $289.15 | USA |
| 13 | Cambricon Technologies | $97.93bn | $155.74 | China |
| 14 | Z.AI | $62.05bn | $139.19 | China |
| 15 | CoreWeave | $47.87bn | $86.80 | USA |
| 16 | Cerebras Systems | $44.34bn | $186.67 | USA |
| 17 | Dynatrace | $15.5bn | $53.43 | USA |
| 18 | MiniMax Group | $13.36bn | $38.27 | China |
| 19 | Tempus AI | $12.75bn | $70.69 | USA |
| 20 | Aurora Innovation | $11.4bn | $5.69 | USA |
| 21 | UiPath | $9.49bn | $18.33 | USA |
| 22 | SentinelOne | $7.78bn | $22.71 | USA |
| 23 | SenseTime | $7.62bn | $0.19 | China |
| 24 | Mobileye | $7.32bn | $8.61 | Israel |
| 25 | Presight AI | $5.71bn | $1.02 | UAE |
| 26 | LG CNS | $5.34bn | $55.14 | South Korea |
| 27 | Fermi Inc. | $3.49bn | $5.45 | USA |
| 28 | Pony AI | $3.26bn | $7.52 | China |
| 29 | SoundHound AI | $3.2bn | $7.22 | USA |
| 30 | Upstart | $2.96bn | $30.46 | USA |
| 31 | SPACE42 | $2.43bn | $0.51 | UAE |
| 32 | Innodata | $2.03bn | $59.23 | USA |
| 33 | WeRide | $1.97bn | $6.01 | China |
| 34 | Recursion Pharmaceuticals | $1.84bn | $3.44 | USA |
| 35 | C3 AI | $1.59bn | $10.26 | USA |
| 36 | BigBear.ai | $1.52bn | $3.19 | USA |
| 37 | WhiteFiber | $750m | $19.38 | USA |
| 38 | ODDITY Tech | $690m | $14.99 | Israel |
| 39 | Serve Robotics | $420m | $4.88 | USA |
| 40 | Cerence | $380m | $8.41 | USA |
| 41 | Duos Technologies Group | $320m | $10.30 | USA |
| 42 | Palladyne AI | $300m | $6.09 | USA |
| 43 | One Stop Systems | $280m | $11.32 | USA |
| 44 | AIAI Holdings Corporation | $280m | $3.99 | USA |
| 45 | Appen | $230m | $0.89 | Australia |
| 46 | QumulusAI, Inc. | $210m | $6.47 | USA |
| 47 | Healwell AI | $190m | $0.59 | Canada |
| 48 | Almawave | $150m | $5.07 | Italy |
| 49 | AMC Robotics Corporation | $93.98m | $4.05 | USA |
| 50 | Airship AI | $75.07m | $2.18 | USA |
Source: CompaniesMarketCap, 28 August 2026.
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, figures may change without notice.
A company’s market capitalisation changes with its share price and number of shares outstanding. For AI-related companies, share prices may respond to factors including:
Together, these factors can shift expectations in either direction, so AI-related valuations may change as company performance and market conditions evolve.
Company results can provide useful context for AI-related businesses. NVIDIA reported second-quarter fiscal 2027 revenue of $96.2bn on 26 August 2026, up 106% year on year. Its data centre revenue reached $89bn, up 117% (NVIDIA, 26 August 2026).
Microsoft reported that Azure and other cloud services revenue increased 43% year on year in the quarter ended 30 June 2026, while Microsoft Cloud revenue rose 27% to $59.3bn (Microsoft, 29 July 2026).
Stronger-than-expected revenue or earnings may support a share price if they improve expectations for future growth. Weaker results, lower margins or softer guidance may have the opposite effect. Higher revenue or AI-related spending therefore doesn’t necessarily translate into a higher market capitalisation. Past performance is not a reliable indicator of future results.
AI models require computing capacity, networking equipment, data centres, power and cooling. As a result, infrastructure spending remains a significant cost for several AI-focused technology companies.
Meta reported second-quarter 2026 capital expenditure of $31.08bn and narrowed its full-year guidance to $130bn–$145bn (Meta, 29 July 2026). In August, NVIDIA announced partnerships intended to mobilise more than $500bn of third-party capital for AI infrastructure, subject to definitive agreements (NVIDIA, 10 August 2026).
Infrastructure investment can expand capacity, but it can also raise depreciation, operating costs and financing requirements. Its effect on valuation therefore depends on the returns that spending generates.
Semiconductors provide the processing and memory capacity used to train and run AI systems, making chip designers, manufacturers and suppliers a key part of the wider infrastructure chain.
World Semiconductor Trade Statistics (WSTS) said global semiconductor sales reached $702bn in the first half of 2026, up 102% year on year. Using second-quarter data and its spring assumptions, WSTS calculated a full-year 2026 market of $1.655tn, around 108% annual growth (WSTS, 6 August 2026). Separately, the Semiconductor Industry Association (SIA) reported second-quarter sales of $403.3bn, up 35.1% from the first quarter (SIA, 6 August 2026).
These figures cover the semiconductor industry as a whole. However, WSTS identified AI infrastructure, high-performance computing and advanced memory as drivers of first-half growth (WSTS, August 2026).
Higher demand or stronger pricing may support revenue and margins, while weaker demand, excess capacity or pricing pressure may weigh on them. Valuations can also respond to product cycles, manufacturing constraints, competition and trade restrictions.
US companies account for 35 of the top 50 positions in the August 2026 ranking, while seven China-based companies also feature: Alibaba, Cambricon Technologies, Z.AI, MiniMax, SenseTime, Pony AI and WeRide.
Z.AI and MiniMax both listed in Hong Kong in January 2026 (PR Newswire, 8 January 2026; MiniMax, 9 January 2026). MiniMax later reported first-half revenue of $116.6m, up 283.1% year on year, while remaining loss-making (PR Newswire, 26 August 2026).
Cambricon, which develops AI chips and related systems, reported first-half 2026 sales of 5.996bn CNY and net income of 2.311bn CNY (Shanghai Stock Exchange, 9 August 2026).
The ranking remains concentrated at the top: NVIDIA, Apple, Alphabet and Microsoft together account for about $17.98tn, or around 73% of the top 50’s $24.58tn combined market value (CompaniesMarketCap, 28 August 2026). Market values can change, so the ranking and geographic mix may shift over time.
AI investing means gaining exposure to companies involved in artificial intelligence. This can include buying shares directly or trading derivatives such as contracts for difference (CFDs), which let traders speculate on price movements without owning the underlying asset. Prices can move in response to company earnings, market sentiment, technology developments and wider economic conditions. CFDs are traded on margin, meaning leverage can amplify both profits and losses.
To trade AI share CFDs, you’ll need to open and verify an account with a regulated CFD provider. Once set up, you can deposit funds and access the trading platform. Before trading, it can be useful to understand the market, research the companies you’re interested in, and explore tools such as a demo account. This can help you see how AI stocks move before using real funds.
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