Five cloud trends for 2025: between innovation and compliance

1 AI and data management: the basis for innovation

Data is the foundation of any successful implementation of artificial intelligence. In order to exploit the potential of AI, it is important that companies optimize their data infrastructure and prepare their data for the training and use of large language models. In many cases, however, company data is isolated and duplicated on different legacy platforms. In response, companies are beginning to invest in unified data platforms with end-to-end data governance. In other words, in guidelines for the efficient and scalable curation and management of data as well as in data quality and data security.

2. diversification of the cloud market

While public clouds continue to grow rapidly in importance, attention is increasingly turning to specialized cloud deployment models based on private, dedicated and sovereign clouds. This reflects the evolving legal requirements for the location and security of data in regions such as the EU. It also shows the greater diversity of workloads being moved to the cloud in key industries. These range from public sector applications, which are subject to strict data management regulations, to low latency workloads in industries such as financial services or telecommunications, which have performance requirements that are more difficult or expensive to meet with traditional public sector cloud resources.

3. edge cloud transformation

With increasing digitalization and automation in sectors such as manufacturing and logistics, edge computing is crucial. Edge services enable data processing closer to the source of data generation, such as sensors and machines in factories. This enables shorter latency times, faster insight into the data and improvements in efficiency and security. By minimizing data transfer to the cloud, edge computing also lowers bandwidth costs and increases data security, which is critical for industries working with sensitive information. It also ensures that operations continue even if the connection to the central servers is interrupted. This model is suitable for data-intensive processes and workloads, for example in the automotive and retail industries.

4. platform compliance

With additional regulatory requirements, particularly in the areas of AI and cloud usage, companies need to ensure that their cloud platforms are not only efficient but also legally compliant. It is no longer sufficient to make decisions based on individual implementations or use cases. Instead, it is advisable to align the choice of the entire platform and the cloud solutions used with long-term regulatory requirements such as C5 (Cloud Computing Compliance Criteria Catalogue) or the EU Cloud Code of Conduct. This enables a higher pace of innovation without being slowed down by individual compliance requirements.

5th compatibility: Multicloud becomes reality

Companies' approach of choosing different cloud providers for different workloads is an indication of the cloud of the future. Companies are increasingly turning to multi-cloud strategies to make their IT landscape more flexible and avoid vendor lock-in. Some hyperscalers now support this multicloud approach and allow their users to combine the offerings of multiple providers to create more efficient solutions. The development of secure connections between different cloud infrastructures and services that provide databases directly in the data centers of other cloud providers illustrates this approach.

One example of this approach is the provision of secure connections between different cloud infrastructures and services that provide databases directly in the data centers of other cloud providers.

Overall, the trends for 2025 show a clear direction. Cloud strategies will be more diverse, more technologically sophisticated and more strongly driven by regulation. Companies that respond to these changes at an early stage will secure a clear competitive advantage in a dynamic and challenging market.

Source: www.oracle.com