Best Cloud Stocks

Last updated July 2026

Short answer

There is no single list of best cloud stocks, because the right holdings depend on your goals and no one can predict prices. What dominates cloud portfolios is a spread across two roles. The hyperscale platforms own the infrastructure everyone rents: MSFT, AMZN, GOOGL, and ORCL. The cloud software and infrastructure names deliver their products as services on top of that: SNOW, NET, DDOG, MDB, NOW, and CRM. The steady shift of computing to rented cloud, now amplified by AI demand, is the tailwind people cite, but many software names trade at high multiples and the theme overlaps heavily with AI infrastructure. The useful move is to treat a list like this as research and build a diversified portfolio from it, not to buy one name. Walnut, an AI investing app, can compare these names against your existing holdings. This page is descriptive and informational, not investment advice.

Cloud computing has been one of the most durable growth themes in the market, and the AI wave has poured fresh spending straight into the same infrastructure. That backdrop produces endless headlines about the top cloud stocks to buy, which read like predictions, and predictions about individual stock prices are the one thing no one does reliably. So this guide does something more honest. It groups the cloud stocks people most widely hold and discuss in 2026 by their role in the stack, explains what each one actually does and the risks it carries, including the rich valuations on several software names, links each to a fuller page, and then shows how to turn a list like this into a portfolio instead of a single bet. Nothing here is a recommendation to buy or sell, and Walnut is not an investment adviser.

What is cloud computing as an investing theme?

The reason cloud stocks get so much attention is a real, long-running shift: companies keep moving their computing off their own servers and onto rented infrastructure and software delivered over the internet. That spending flows to a small set of hyperscale platforms and a wider layer of software companies built on top of them. More recently the AI buildout has run on the same cloud infrastructure, so cloud and AI infrastructure now overlap heavily. That is the mechanism behind the theme, and it is genuine.

But honesty cuts both ways, and a durable trend is not a guarantee about any stock.

  • Many cloud software names trade at high multiples. Investors pay up for growth, so several pure-play cloud names carry rich valuations of sales or earnings. A slowdown or a disappointing quarter can trigger sharp drops even when the business is fine.
  • Growth rates can cool. Cloud spending is still expanding, but the hyperscaler growth rates are watched closely and any deceleration moves the stocks. Newer names can also lose momentum as they scale.
  • Concentration and overlap are real. The same few hyperscalers dominate the platform layer and also anchor AI portfolios, so a basket of cloud names can move together and give you less diversification than it looks.

None of this is a recommendation. It is the context you need to read the list below as research rather than as a set of hot tips riding a growth headline.

What cloud stocks are most widely held in 2026?

Below are the cloud names most widely held and discussed in 2026, grouped by the role each one plays in the cloud stack. For each, the note explains what the business does and why it is commonly held, not whether you should own it. Every name links to its own page with the deeper detail.

The hyperscale cloud platforms

The foundation of the cloud is a handful of hyperscalers that rent out compute, storage, and services at massive scale. These are large, diversified, profitable businesses where the cloud division sits on top of another big engine (software, retail, ads, or databases), which is why they are often held as the lower-volatility way into the theme. The same names anchor most AI portfolios too, because the AI buildout runs on their infrastructure, so cloud and AI infrastructure overlap heavily here.

  • Microsoft (MSFT). Microsoft runs Azure, the number-two public cloud, alongside its enterprise software franchise and the OpenAI partnership that feeds AI demand back into the cloud. It is one of the most widely held cloud names precisely because the cloud growth rides on top of a huge, profitable existing business.
  • Amazon (AMZN). Amazon runs AWS, the largest public cloud and the profit engine that funds much of the wider company. It is widely held as the purest large-cap way to own cloud-infrastructure demand at scale, with the caveat that retail margins and cloud growth rates both move the stock.
  • Alphabet (GOOGL). Alphabet runs Google Cloud, the number-three hyperscaler and a fast grower that recently turned profitable, all funded by the search-and-ads engine. It is commonly held as a full-stack cloud and AI owner that also builds its own chips and models.
  • Oracle (ORCL). Oracle re-rated on large cloud-infrastructure and AI-capacity deals as it became a place hyperscalers and model labs rent compute, on top of its enterprise-database incumbency. It is commonly held as the database veteran turned cloud-infrastructure story, though its heavy capital-spending ramp is a real risk.

Cloud software and infrastructure

On top of the platforms sits a layer of software companies that deliver their products as cloud services, from data warehousing to security to developer tools. Many are pure-play cloud businesses growing faster than the hyperscalers, but that growth is the point of tension: several trade at high multiples of sales or earnings, so expectations are elevated and the stocks can be volatile when growth cools. Own these for the software layer of the theme, with valuation firmly in view.

  • Snowflake (SNOW). Snowflake runs a cloud data platform that lets companies store and query large datasets across the major clouds. It is widely held as a marquee data-cloud name, though it has long traded at a rich multiple that prices in years of continued growth.
  • Cloudflare (NET). Cloudflare runs a global network for content delivery, security, and edge compute that sits in front of a large share of the web. It is commonly held as a cloud-infrastructure and security growth story, and it carries one of the higher valuations in the group.
  • Datadog (DDOG). Datadog sells observability software that monitors cloud applications and infrastructure in one place. It is held as a way to own the operational-tooling layer that grows with cloud adoption, at a valuation that assumes durable expansion.
  • MongoDB (MDB). MongoDB offers a developer-favorite database delivered as a managed cloud service (Atlas). It is commonly held as a modern-database challenger to the incumbents, with the standing caveat that it trades on future growth more than current profit.
  • ServiceNow (NOW). ServiceNow runs a cloud platform that automates enterprise workflows across IT, HR, and operations. It is widely held as one of the larger, more established software-as-a-service names, with a premium valuation that reflects its steady enterprise growth.
  • Salesforce (CRM). Salesforce is the customer-relationship-management pioneer and one of the biggest pure software-as-a-service companies, now layering AI agents on top of its clouds. It is commonly held as the more mature, cash-generative end of the cloud-software spectrum.

At a glance

The same names, grouped by role, so you can scan the breadth across the list rather than read it as a ranking.

TickerCompanyWhat it does
MSFTMicrosoftAzure cloud plus enterprise software and the OpenAI partnership.
AMZNAmazonAWS, the largest public cloud provider, plus retail.
GOOGLAlphabetGoogle Cloud, plus search, ads, and custom AI chips.
ORCLOracleEnterprise database and fast-growing cloud and AI capacity.
SNOWSnowflakeCloud data warehouse and analytics platform.
NETCloudflareContent delivery, security, and edge-compute network.
DDOGDatadogObservability and monitoring for cloud applications.
MDBMongoDBDeveloper-focused database delivered as a cloud service.
NOWServiceNowCloud platform for enterprise workflow automation.
CRMSalesforceCustomer-relationship-management and enterprise cloud software.

How do you build a portfolio from these instead of buying one?

A list of stocks is an input, not a portfolio. The difference between the two is structure: which roles you want exposure to, how much weight each name gets, and the discipline to keep no single position from dominating. The repeatable way to do it looks like this.

  • Pick a thesis. Decide what view you are expressing. Owning the hyperscalers for durable, profitable growth is a very different portfolio from leaning on the higher-multiple software names for faster growth.
  • Spread across roles, not just names. Holding Snowflake, Datadog, and MongoDB is still one bet on high-growth cloud software. Mixing in the hyperscaler layer, or pairing cloud with unrelated themes, spreads risk so a single growth-multiple reset does not sink everything.
  • Set target weights. Assign each name a percentage that sums to 100, so concentration is a choice you made rather than an accident of which stock ran up.
  • Compare against the S&P 500. Check how the mix would have tracked the benchmark, because a sector tilt should earn its keep versus just holding a broad index (the mega-cap cloud names are already a large part of that index).
  • Place the trades and review. Buy to your targets, then revisit periodically as weights drift or as the growth story shifts.

This is exactly what Walnut is built for. You create a thematic basket from the stocks you choose, set a target weight for each, see how the basket would track against the S&P 500, and place trades you approve yourself at your own broker. Walnut frames each holding against the S&P 500 and shows how the mix is concentrated, so the portfolio is a deliberate structure rather than a pile of separate bets. Walnut does not tell you which stocks to buy.

If you would rather own the theme in one holding instead of picking names, see our guide to the best AI ETFs, which overlap heavily with cloud infrastructure, or browse the cloud computing theme for a ready-made basket.

How we chose what to feature

To be clear about method, since framing matters on a page like this: this is not a prediction and not a ranking. We did not forecast which cloud stocks will rise, score them, or order them by expected return, because no one can do that reliably. We featured names on three descriptive criteria instead.

  • Widely held. Each is a large, broadly owned company central to the cloud trade, appearing across the major cloud and technology funds and mainstream portfolios, so the page reflects what people actually hold rather than obscure tips.
  • Liquid and established. We featured large, liquid, well-covered companies rather than speculative microcaps, so the descriptions lean on durable business facts rather than hype.
  • Role-representative. Each name illustrates a role in the cloud stack (hyperscale platform or cloud software and infrastructure) so the list teaches how a cloud portfolio is built, not which single stock to chase.

The result is a map of what tends to anchor cloud portfolios in 2026 and how to think about it, not a buy list. Treat every name as a starting point for your own research. Company facts, growth rates, and valuations change; verify current details before you act.

The bottom line on the best cloud stocks

The honest answer to “what are the best cloud stocks” is that there is no single list, because the right holdings depend on your goals and no one can predict prices. What tends to anchor cloud portfolios is a spread across two roles: the hyperscale platforms like Microsoft, Amazon, Alphabet, and Oracle, and the cloud software and infrastructure names like Snowflake, Cloudflare, Datadog, MongoDB, ServiceNow, and Salesforce. The steady shift of computing to rented cloud, now amplified by AI demand, is the tailwind people cite, but many software names trade at high multiples, growth rates can cool, and the theme overlaps heavily with AI infrastructure. The useful move is to treat a list like this as research and build a diversified, weighted portfolio from it rather than buying a single name. Walnut helps you turn that into a thematic basket you control. It is not an investment adviser, and nothing here is a recommendation.

Try Walnut on top of your broker

Walnut connects any major US broker so you can see how cloud names fit your portfolio by chatting through Claude, ChatGPT, or built-in AI. Read-only by default until you choose to trade; Walnut is not an investment adviser and does not tell you what to buy.

FAQ

What are the best cloud computing stocks to buy in 2026?

There is no single list of best cloud stocks, because the right holdings depend on your goals, time horizon, and risk tolerance, and no one can predict prices. What this page shows instead is the cloud names most widely held and discussed in 2026, grouped by role: the hyperscale cloud platforms (MSFT, AMZN, GOOGL, ORCL) and the cloud software and infrastructure names (SNOW, NET, DDOG, MDB, NOW, CRM). Treat them as a research starting point, not recommendations. Walnut is not an investment adviser.

What is driving cloud computing stocks?

The long-running driver is the shift of computing from company-owned data centers to rented cloud services, which is still expanding across enterprises and software. On top of that, the AI buildout runs on cloud infrastructure, so hyperscaler capacity and AI demand now reinforce each other. The debate, and the risk, is whether growth stays fast enough to justify the valuations, because many cloud software names in particular price in years of continued expansion.

What is the difference between hyperscale cloud stocks and cloud software stocks?

Hyperscalers like Microsoft, Amazon, Alphabet, and Oracle own the underlying infrastructure and rent out compute and storage, and the cloud division sits inside a larger, profitable company, so they tend to be less volatile. Cloud software names like Snowflake, Cloudflare, Datadog, and MongoDB deliver specific products as services on top of that infrastructure; many are faster-growing but unprofitable or richly valued, so they can swing hard on growth expectations. Many portfolios hold some of each.

Are cloud stocks overvalued?

Some are richly valued and some are not, so it is worth separating the two groups. The hyperscalers trade at large-cap multiples backed by real profits. Several pure-play cloud software names trade at high multiples of sales because investors are paying up for growth, which means a slowdown or a disappointing quarter can trigger sharp drops. Whether any of them is overvalued for you depends on your assumptions and time horizon. This is context for research, not a recommendation, and Walnut is not an investment adviser.

How do cloud stocks relate to AI stocks?

They overlap heavily. The AI buildout runs on cloud infrastructure, so the same hyperscalers, Microsoft, Amazon, Alphabet, and Oracle, show up on both cloud and AI stock lists, and their AI-capacity deals are a big part of the cloud growth story. The distinction is that cloud is the broader, older theme covering all rented computing, while AI infrastructure is the newer wave of spending on top of it. If you are researching one, it is worth reading the other alongside it.

Should I buy individual cloud stocks or a cloud or AI ETF?

Both are common, and the choice is yours. A fund spreads a single investment across the hyperscalers and software names in one holding, so any one company stumbling matters less. Individual stocks let you tilt toward a specific layer or name you have a view on, at the cost of more concentration and more work. Many investors use a fund as a base and add a few individual names. See our guide to the best AI ETFs, which overlap with cloud infrastructure, for the fund route.

Does Walnut recommend which cloud stocks to buy?

No. Walnut is not a registered investment adviser and does not tell you what to buy. It lets you build a thematic basket from cloud stocks you choose, set target weights, see how the basket would track against the S&P 500, and place trades you approve yourself at your own broker. Every page here is descriptive and informational, not a recommendation.

From here you can dig into any individual stock, browse the best AI ETFs for instant diversification, or explore the cloud computing theme you want exposure to.

Walnut is informational and is not a registered investment adviser. This page describes cloud computing stocks that are widely held and commonly discussed, grouped by role; it is not a prediction, a ranking, or a recommendation to buy, sell, or hold any security. Investing involves risk, including the possible loss of principal, and past performance does not indicate future results. Company facts, growth rates, and valuations change; verify current details before making any decision. Do your own research or consult a licensed financial professional.

Related articles

    Best Cloud Computing Stocks in 2026, Walnut