In alphabetical order, they are:
1. Modular applications
In the ever-changing business environment, business organizations must move towards a technological architecture that supports fast, secure, and efficient application changes which will lead them in the direction of a modular application architecture. This will allow them to outperform the competition by 80% in terms of the implementation speed of new functionalities.
2. Computing to improve privacy
Gartner predicts that by 2025, 60% of large organizations will be using one or more computational techniques that enhance privacy by enabling data value extraction, while still meeting privacy requirements. The aim is to avoid losing customers’ trust as a result of privacy-related incidents by applying PEC (acronym for Privacy Enhancing Computation) techniques, which protect personal and sensitive information at the data, software or hardware level. These techniques work by creating a reliable environment where data can be analyzed in a decentralized way and by creating analysis algorithms.
3. Distributed companies
With the definitive boost of hybrid work models, we find ourselves faced with what are known as distributed companies, which depend on digitization and remote work. This means implementing technical and service changes to provide a working experience that is compatible with clients. Gartner predicts that by 2023, 75% of organizations that take full advantage of the benefits of distributed business will see revenue growth 25% faster than their competitors.
4. Total Experience (TX)
Total Experience is a strategy that integrates the experience of the employee (EX), the customer (CX), user (UX) and multi-experience (MX) with the aim of accelerating growth. It focuses on greater trust, satisfaction, loyalty and defense of clients and employees through the integral management of the experiences of the parties concerned. It is ground that has yet to be fully covered and, in the next decade, it will bring with it new disruptive trends.
5. Artificial Intelligence
Using advanced software puts organizations in a different league in terms of efficiency and productivity. Whoever fails to apply this technology to their activity will be left taking up the rear. According to Gartner, by 2025, 10% of companies that establish the best AI engineering practices will generate at least three times more value than 90% of companies that fail to do so.
6. Decision intelligence
Artificial Intelligence and Machine Learning software, together with Data Analytics, open the door to a substantial improvement in decision making. However, this competitive advantage is becoming increasingly demanding, according to the consultancy. Gartner predicts that, over the next two years, a third of large organizations will use decision intelligence for decision making.
7. Generative AI
Generative AI is a Machine Learning technique that learns about content or objects from data and uses it to generate innovative new environments. Generative AI has the potential to create new forms of creative content, such as videos, accelerate research cycles and develop new fields of work. By 2025, Gartner predicts that generative AI will account for 10% of all data produced, a figure that stands at 1% today.
8. Hyperautomation
Hyperautomation is a disciplined, business-oriented approach to rapidly identifying, controlling and automating as many IT and business processes as possible.
9. Cybersecurity mesh
The traditional security perimeter has changed. Connectivity offers great efficiency, but also increases the risk of attacks that can be stopped with a flexible security architecture with integrated disparate security services. By 2024, organizations that adopt a standard CSMA (Cyber Security Maturity Assessment) will reduce the financial impact of individual security incidents by an average of 90%.
10. Native cloud platforms
To truly deliver digital capabilities anywhere, companies must move away from "lift and switch" family migrations and towards NCPs, which use core computing capabilities in the cloud to provide scalable services, offering more value at a lower cost. That’s why Gartner predicts that cloud-native platforms will serve as a basis for over 95% of new digital initiatives by 2025, compared to less than 40% today.
11. Autonomous systems
Autonomous systems are self-managed physical or software systems that learn from their environments and dynamically modify their algorithms in real time to optimize their behavior in complex ecosystems. Unlike automated systems, autonomous systems adapt quickly to new working conditions. We’re talking about robots, drones or smart spaces.
12. Data fabric
It’s all too common to still find data silos in companies that need to be integrated so that they can offer better business solutions in an orchestrated manner. To deal with these islands, data fabrics are emerging, which intertwine data between platforms and users with a scalable architecture, and offer a comprehensive overview of the organization which is available at any time and from any location. The real value of a data fabric is its ability to dynamically improve data usage with built-in analytics, reducing data management efforts by up to 70% and accelerating time-to-value, according to Gartner.
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