Information technology

What are the trends of innovation in information technology? By offering an overview of the challenges and opportunities affecting this industry, Supertrends can help you anticipate and monitor them to keep your business always one step ahead.

Information Technology

What is changing?

As the global economy continues to rapidly digitalize, it is estimated that the greatest source of value creation over the next decade will come from digitally enabled business models. It’s no coincidence that today’s IT industry is focusing on the development of digital solutions that are as sophisticated as they are easy for businesses and people to implement and use, addressing these three areas in particular:

Services efficiency and simplification

A trend that had already begun before the COVID-19 pandemic, and which got a major boost during that period, has been the growing demand among most businesses across multiple industries for service-based IT. Underlying this growth are the increased flexibility, efficiency, simplicity of use, and reduced costs of “as-a-Service” (aaS) models, which are more suitable for the hybrid work concept. In parallel, technology companies are adapting to this shift in demand as well, moving to aaS models for the delivery of products and capabilities. In the near future, the expectation is that the major IT players will fully transition their portfolio to this type of services. In addition, in response to the growing demand for simplification and efficiency of technological solutions, the expectation is that low-code/no-code technologies will experience consistent market growth.

Cybersecurity

As technology adoption accelerates, cybersecurity-related risks proliferate. Increased connectivity is expected to result in increased vulnerability of connected individuals, businesses, and institutions, as the presence of more connected devices massively increases the cyber-physical attack surface. The more companies and organizations make technological progress and advance their digital transformation to optimize business performance, the more risk they face. Therefore, in parallel to the development of new digital solutions, the IT industry will be faced with the need to ensure new developments on the cybersecurity front as well.

Increase technology automation and reliability

The broader context of technology adoption includes technologies introduced to interact with humans not only digitally, but also physically. For this reason, the IT industry is also faced with new challenges related to the automation and reliability of these physical devices. As smart devices proliferate to perform very precise and more risky functions (e.g., surgery), eliminating glitches and malfunctions becomes a matter of fundamental importance. Related to this, physical devices also need increased problem-solving capabilities, which potentially require the integration of creative and emotional intelligence.

Key technologies and innovations to watch

Low code/ no code

Low-code/no-code technologies

These technologies consist of specific types of visual software development environments that allow users to drag and drop, connect, and create various application and components. 

These technologies can help organizations better to digitalize their workflows, enhance customer and employee experiences, and facilitate efficient collaboration within teams. 

IT, information technology, machine learning key

Symmetric Key Distribution

This data security solution, also named SPoTKD, is an encryption device that can be used for multiple functions, such us securing medical devices, voting records, or e-mail conversations, for enforcing time limits on software licenses, and to validate NFTs.

SPoTKD offers protection against potential quantum attacks without relying on lasers, satellite connection, or optical fiber, and doesn’t require a power source.

brain, machine learning, artificial intelligence

Automated machine learning

Abbreviated as AutoML, this method matches raw data with models to reveal the most relevant information. It is less time-consuming than traditional machine learning systems and doesn’t require AI specialists or data scientists.

Data scientists, analysts, and developers can build high-scale and efficient machine learning models, without compromising on model quality.

Paint a map of the most likely future with data


We help you anticipate trends and their impact on your business and on the information technology sector as a whole. Through our multi-data sources, we enable more informed decisions.

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 The future will continue to be increasingly shaped by an accelerated rate of digital transformation: greater volume and speed of data exchange and transmission, new security and privacy issues, and necessary new ways to simplify the implementation and use of technology are putting – even more than in the past – the IT sector in charge of the transformation to new business and societal models. Are you ready?

 The future will continue to be increasingly shaped by an accelerated rate of digital transformation: greater volume and speed of data exchange and transmission, new security and privacy issues, and the need for new ways to simplify the implementation and use of technology are putting – even more than in the past – the IT sector in charge of the transformation to new business and societal models. Are you ready?

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