Most people in the United States used a data center this morning without noticing it, the moment they checked a bank balance, streamed a show, or tapped a card at the coffee counter. Behind those everyday actions sits cloud computing in the USA, a market that Mordor Intelligence valued at USD 251.64 billion in 2025 and expects to reach USD 622.03 billion by 2031. Two names do most of the heavy lifting: Amazon Web Services and Microsoft Azure.
How AWS and Azure became the default
Amazon opened Amazon Web Services to outside customers in 2006. Microsoft followed with Azure in 2010. The pitch was simple. Instead of buying servers, wiring a room full of them, and hiring people to keep them cool, a company could rent computing by the hour and switch it off when demand dropped.
That pitch won. According to Mordor Intelligence, the United States cloud computing market is set to grow from USD 292.61 billion in 2026 at a compound annual rate of 16.28 percent through 2031. Public cloud, the rented model that AWS and Azure sell, holds 70.35 percent of North American revenue, per Mordor Intelligence regional data. The same report names Amazon, Microsoft, Google, Salesforce, and Adobe as the firms with the largest share of that spending.
The operational change was bigger than the cost change. A retailer no longer has to buy enough servers to survive its single busiest hour of the year and let them sit idle the rest of the time. On a cloud platform it rents extra capacity for the holiday rush, then releases it in January. That elasticity is the feature that pulled banks, hospitals, and government agencies onto AWS and Azure, not just startups chasing low upfront costs.
What cloud computing in the USA looks like in practice
Cloud providers sell three broad things. Infrastructure, which is raw servers and storage. Platform services, which handle databases, networking, and the plumbing that developers would otherwise build by hand. And software, the finished applications people log into. AWS and Azure both sell all three, which is why a single vendor can run a young company’s entire stack from sign-up to scale.
Both providers split the country into regions, and each region into isolated availability zones, so that a power failure or flood in one building does not take an application offline. A bank in New York can run its primary systems in a Virginia region and keep a live copy in Ohio. That geographic spread is why uptime promises now reach several nines, and why an outage in one region makes national news when it happens. The figures below show how fast the money is moving and where it sits.
| Metric | Figure | Source |
|---|---|---|
| US cloud market, 2025 | USD 251.64 billion | Mordor Intelligence |
| US cloud market, 2031 | USD 622.03 billion | Mordor Intelligence |
| US forecast CAGR, 2026 to 2031 | 16.28 percent | Mordor Intelligence |
| Public cloud share, North America 2025 | 70.35 percent | Mordor Intelligence |
| Hybrid cloud growth rate | 22.05 percent CAGR | Mordor Intelligence |
Figures from Mordor Intelligence United States and North America cloud computing reports, 2026.
What it means for consumers and businesses
For consumers, the cloud is invisible until it breaks. The banking app that loads in a second, the fraud alert that arrives before you leave the store, the streaming service that does not buffer, all of it runs on rented infrastructure. When an AWS region goes dark, large parts of the consumer internet stop working at once, which is the clearest sign of how much sits on top of it.
For businesses, the cloud changed the math of starting up. A founder no longer needs a server budget to launch a product. That shift shows up in the data: small and medium enterprises are the fastest-growing buyers of North American cloud services at a 20.35 percent annual rate. The same model lets established firms ship software faster, which is why clean product design has become a competitive edge, as covered in our look at SaaS UX practices US startups use. Financial firms in particular lean on cloud scale to run the heavy analytics described in our report on AI-native financial analytics frameworks, where models that once needed a dedicated server room now spin up on demand.
The risks behind the convenience
Renting your computing from two companies concentrates risk. A pricing change, an outage, or a policy shift at AWS or Azure lands on thousands of customers at the same time. Vendor lock-in is the quieter problem. Once a company builds on a provider’s databases and proprietary tools, moving off them is expensive and slow, and the provider knows it.
Cost is the surprise that catches finance teams. Renting is cheap to start and easy to leave running. Charges for moving data out of a provider, known as egress fees, and for services left switched on can turn a predictable bill into a volatile one. Security is the other concern. The cloud runs on a shared responsibility model, where the provider secures the hardware and the customer secures its own data and access. Misread that line and sensitive records end up exposed. Banks and insurers now treat this as a board-level issue, which is why governance frameworks like the one in our guide to building an AI governance program matter, alongside the kind of automated monitoring described in our profile of AI-driven cyber defense systems.
Where the next decade of growth sits
The clean split between on-site servers and public cloud is fading. Hybrid setups, which mix the two, are the fastest-growing model in North America at a 22.05 percent annual rate, because regulated industries want some data to stay on their own premises while the rest runs in the cloud. Distributed and edge architectures push computing closer to where data is created, a market Mordor Intelligence sizes at USD 5.26 billion in 2025 and expects to reach USD 14.81 billion by 2030. Artificial intelligence is now the loudest driver of new demand, since training and running models consumes the kind of raw computing that only hyperscale providers can supply on short notice.
For US businesses, the question is no longer whether to use the cloud. It is how to spread workloads so that no single outage, price hike, or vendor decision can take the whole operation down at once.
