5 cloud computing trends that will define 2025

Programming Languages & Frameworks / Date: 05-02-2025

As early as the 1960s, computer scientist John McCarthy — who was also responsible for coining the term “Artificial Intelligence” — predicted that computing could be seen as an essential service. He saw this technology evolving into something standardized, accessible and shared.

McCarthy's bet was right, and in 2006 Amazon launched AWS (Amazon Web Services), giving shape to cloud computing as we know it today. The idea was to rent virtualized servers on demand, charging only for the hour of use, following the model of basic resources such as water, electricity and internet.

Since then, cloud computing has become indispensable. This computing model allows access and use of computing resources — such as processing, memory, storage and systems — over the internet, without having to maintain physical servers in the company. According to the report by Grand View Research(2024), this market was estimated at US$ 602.31 billion in 2032, with a projection of reaching US$ 2.39 trillion by 2030.

With that in mind, we have prepared a list of what to expect from the cloud in 2025. Check it out!

5 predictions for cloud computing in 2025

We know that the beginning of the year is a time to release projections and trends published by technology companies and research institutes. Following this line, Huawei Cloud, Huawei's cloud computing division, has projected 5 cloud computing trends in 2025.

1. Edge computing and cloud computing

As real-time applications become more common, a challenge for traditional cloud systems arises: dealing with high data speeds and low latency. That’s where edge computing comes in — a technology that processes information at the edge of the network, very close to the source. This makes it possible to reduce traffic between networks, save bandwidth, and still ensure greater security for sensitive data.

Although they work in a complementary way, the cloud is ideal for storing and analyzing large volumes of data, while the edge computing prioritizes its use in real time. In practice, the edge acts as an intelligent filter, processing data before it even reaches the cloud.

2. Supercloud: Connecting everything in the multicloud era

The adoption of multicloud — the use of different cloud providers — is on the rise, but it brings with it a challenge: how to integrate such different environments? This is where the supercloud comes in, an abstraction layer that connects these seemingly isolated clouds.

With it, applications can be run in containers or virtual machines and interact with any cloud provider underneath that layer. The result? A more fluid environment, where data and applications circulate without any obstacles.

3. Hybrid cloud: tailored flexibility

One of the great things about cloud computing is its adaptability. And no approach exemplifies this better than the hybrid cloud. By combining the capabilities of the public cloud with those of the private cloud, it offers the best of both worlds.

In practice, this means on-demand scalability, meaning you only pay for extra processing power when you really need it. For companies looking for flexibility and growth, this is a great choice!

4. Quantum computing in the cloud

Have you ever imagined accessing the power of quantum computing without having to invest in specialized hardware? With the integration of quantum computing into the cloud, this is now possible. This combination combines the ability to solve complex problems — typical of quantum mechanics — with the scalability of cloud platforms.

The result is easier access to quantum algorithms, allowing companies to test and develop innovative solutions in areas such as logistics, finance, healthcare and much more.

5. Generative AI: Cloud Innovation

Generative AI is revolutionizing the way we make decisions and optimize processes, and this is no different when it comes to its impact on the cloud. According to Dow (2023), generative AI increased the ROI (Return Of Investment) of companies that invested in cloud solutions as early as 2024.

Gartner also highlighted the technology in its Hype Cycle by 2023, predicting a transformational impact by 2028. Integrated with the cloud, generative AI combines distributed architecture and advanced processing, delivering more efficiency, innovation and flexibility for companies seeking to stand out in the digital market.

Cloud computing and outsourcing: support for any project

As technology advances, companies are looking for smarter ways to scale their operations without increasing their costs. It is in this scenario that the combination of cloud computing and outsourcing stands out as a powerful strategy.

According to theGartner, global IT investment is expected to surpass $5 trillion by 2024, with more than 30% of that going to cloud services and infrastructure outsourcing. The reason is clear: companies are increasingly interested in accelerating their digitalization without overburdening their internal teams.

By adopting the cloud, organizations gain on-demand scalability, reduce hardware costs, and have continuous access to cutting-edge technologies. In this scenario, outsourcing ensures work with specialized IT professionals, freeing up the internal team to focus on innovations for the business. Outsourcing also allows for faster cloud adoption, with fewer errors, greater stability, and specialized support.