- By 2028, the cloud computing market should be worth more than $1 trillion.
- The market grew by 635% in just 10 years, from 2010 to 2020.
- Stats show that a company can save up to 40% by switching to cloud computing.
- Accenture did a study that showed companies that switched to cloud computing could save up to 64% on their energy costs and reduce their carbon emissions by up to 64%.
What are the trends in cloud computing in 2023? Let's discover
Integrating AI and ML into Cloud Infrastructure
As cloud computing becomes more popular, more AI and ML will be added in 2023. According to a recent survey, the cloud AI market will be worth $13.1 billion by 2026, with a compound annual growth rate (CAGR) of 20.3% from 2021 to 2026. The value in 2020 was $5.2 billion, which is a huge increase. AI and ML facilitate cloud computing in many ways, such as digital asset management, virtual assistants, reality-as-a-service, cloud-based security for applications, and much more. Artificial intelligence and machine learning will.- cloud computing should have more automation
- enhance the ability to learn on your own
- better data security and privacy, and make cloud experiences more personalised
Kubernetes and Docker for cloud deployment management
Docker and Kubernetes reach with a way to deliver software in packages called containers.- Kubernetes is an open-source container orchestration system for automating containerised applications' deployment, scaling, and management. After Google built it, it is now taken care of by the Cloud Native Computing Foundation (CNCF).
- Docker is a programme that facilitates developing, deploying and operating applications inside containerised environments. Using containers, a programmer can distribute an application and all its supporting components, like libraries and other dependencies, in a single archive..
- High ability to evolve
- Work that works well
- Cloud deployment automation
- Sharing resources in a flexible way
- Easy and reasonable to set up.
Data security on cloud computing
Data security will still be a big deal in cloud computing in 2023. With a focus on better encryption and security protocols and technologies like artificial intelligence and machine learning. A bigger focus on security during the development process and more rules to follow. Organisations must keep up with these changes and use best practices to keep their data safe. Some potential areas of focus for data security in the cloud in 2023 could include the following:- If APIs are exposed, people who aren't supposed to can get into the cloud data.
- Misconfigurations or cloud infrastructure that is not secure can lead to data breaches.
- Another risk that comes with cloud computing is the loss of data. This loss can happen for many different reasons, such as not having enough backups, corrupt software, natural disasters, accidentally deleting data, etc.
Hybrid cloud solutions
A hybrid cloud is a cloud computing environment. This uses a combination of on-premises, private cloud, and third-party, public cloud services with orchestration between the two platforms. In 2023, hybrid cloud solutions will likely continue to be popular among organisations. They offer the ability to take advantage of the benefits of both public and private clouds. The ability to scale resources up or down as needed and to store sensitive data on-premises. Businesses In 2023 are likely to choose a hybrid cloud for the following reasons:- The best of both worlds comes to them (private and public cloud)
- Better flexibility
- Very good value for the money
- Able to execute critical data processing
- Easy to change.
- Highly scalable
Cloud-based low-code and no-code solutions
Low-code and no-code solutions that run in the cloud are becoming more popular because they don't need computer code to do what's needed. In this group of low-code and no-code solutions are site builders, app builders, and other tools for making digital products. This will be a big trend in cloud computing in 2023 because low-code and no-code solutions have made it much easier for businesses to start using AI and ML.- Low-code platforms are designed to allow users to create applications with minimal coding, typically by using a graphical user interface (GUI) to configure the application's functionality.
- No-code platforms take this a step further by providing a full visual development environment that requires no coding at all.




