7 Enterprise Software Development Trends to Look Out for

The IT sector will continue to grow next year, driven by data center software, services and systems. This has been revealed by a recent Gartner study that estimates that the investment to be made in IT next year will exceed four trillion dollars worldwide, that is, 5.5% more than the previous year.

Technology has long been the strategic lever that allowed companies to drive growth and create more efficient organizations. Now, with the arrival of the pandemic, technology goes to another level. For many companies, it has not been merely a differential factor but rather being or not being from a business continuity perspective. More and more companies decide to develop custom enterprise software to meet the unique needs of their business.

Our positioning in clients and the strategic alliances with the main software manufacturers allow us to identify the most relevant market trends early. Undoubtedly, the companies that promote the digital ecosystem are the engine that will accelerate the economic recovery.

In this context of current investment in the sector, we have analyzed some of the main enterprise software trends to take into account in 2022.

1. Advance Compilation and Nanoservices

In 2022, we will see a greater use of programming languages based on the “Ahead-of-Time” (AOT) compilation, leaving behind the “Just-in-Time” (JIT) language, since the AOT generates an executable file natively to the platform on which it will be deployed. These types of solutions enable, at the architectural level, a new concept of execution unit known as “nanoservice”, characterized by being very small services, sometimes with a single function, which are highly scalable. Solutions based on AOT compilers will be consolidated in the market with the aim of optimizing the execution costs of their systems.

2. Low Code

Source: https://www.kbvresearch.com/low-code-development-platform-market/

In 2020, app downloads were up 7% worldwide, according to the State of Mobile, and spending grew 20% to $ 143 million. In this context, the implementation of a Low-Code development platform is essential, since it allows companies to accelerate and simplify the creation and update of applications, in line with the IT and business departments on time and objectives. In the changing technological environment in which we find ourselves, applications must be updated periodically and that is where low-code development platforms come into play that, using very little code, and based on modules already created, allow to improve, change and update an application. This supposes a high percentage of code reuse that allows to lower costs both in maintenance and in training of the professionals in charge. In the coming months we will begin to see a greater use of these types of platforms, which are more profitable and allow rapid changes in applications without having to start from scratch.

3. Zero Trust Security

The Zero Trust Security model will have a great presence in the next year, as it provides a new way of protecting data, employees and organizations, leaving behind perimeter security protocols in a context in which teleworking has become an option. The Zero Trust Security model assumes that users are not trusted, whether they are on or off the network, removing trust from the equation. Therefore, once implemented, the Zero Trust Security model authenticates the identity of the user and the access device. If both are correct, authorization to operate will be provided, but only to carry out the activity in question.

4. Industrialization of AI platforms

The adoption of artificial intelligence (AI) is growing rapidly and the global market is projected to be worth $ 267 billion by 2027. Its industrialization is of vital importance, and there are three keys to achieving it. First, if an organization plans to industrialize its AI, the first step should be to focus on organizing its data sources to generate data products with greater access, quality and availability for the operation. Second, as it is directly associated with innovation, the global contribution and collaboration of the different teams involved will be necessary. Finally, prior preparation is essential to integrate AI-based solutions within the operational framework of companies, identifying in advance processes that must be modified, to allow the adoption of new technologies, and especially the establishment of standards for the creation, testing and deployment of new AI models.

5. Hyper-automation, improving operational efficiency

According to IDC data, next year 45% of the repetitive tasks of companies will be automated and / or accelerated and the generation of digital twins with which it is possible to determine which areas of the company can be optimized, will be one of the main benchmarks to optimize resources.

6. Internet of Behaviors

The use of the Internet of Behaviors (IoB) is another trend that will be increasingly present in the strategy of companies during the next year. It is based on the collection of data from the use of IoT devices and the interactions they have with them. The analysis of the data collected with the use of the IoB can lead to the redesign of the value chain of companies, since they will be able to detect trends in their customers and adapt their products and services to meet their needs.

7. Multicloud Infrastructure

The use of multicloud infrastructures is an upward trend, supported by Red Hat’s Global Tech Outlook, which reveals that its use has increased by 2%, and is expected to continue to do so until reaching 13% this year. Multicloud environments, those in which a company uses more than one cloud platform with at least two or more public clouds, are extremely useful as they are especially flexible and scalable based on demand.

So… are you ready to welcome the above trends next year?