Gartner: 12 Strategic Technology Trends for 2022 and Beyond

The unexpected effects of the Covid-19 pandemic and climate change have impacted businesses up and down in many ways. That is why organizations are leaning towards an accelerated rate of digitalization and virtualization of how they maintain and drive their organizations forward. In 2022, with a high demand for sustainability and increasing data volumes, digital transformation is inevitable. With that in mind, below are the top 12 technology trends that are likely to have the biggest impact on how the company scale, adapts and grows in 2022 (according to Gartner).


Source: Gartner

Hyperautomation involves the combination of multiple technology tools, packaged software, RPA, and process mining tools. Diffuse hyperautomation automates, enhances, and speeds up business processes as much as possible. Companies with functional hyperautomation systems can rapidly identify, vet, and automate multiple processes. 

Learn more about Hyperautomation with Top Use Cases For Bussiness to Thrive in 2022

Data Fabric


Having logical data fabric solutions brings magical values to the organization. But most of the time, data remains unstructured and is not being used effectively. Data fabric deployments will not only integrate data across both cloud and non-cloud platforms but also force network-topology readjustments. The fabric will bring about business innovations quickly busing unlocking data using AI and inbuilt analytics reading metadata. The result is that companies can better determine their current data patterns for ongoing operations, and cut up to 70% of management efforts. 

Cybersecurity Mesh Architecture (CSMA)


In modern enterprise environments, sophisticated cyberattacks are unavoidable, an overarching cybersecurity mesh architecture (CSMA) will let enterprises deploy and extend security where it needs the most. CSMA is a composable approach that brings integrated tools, data feeds, and Artificial Intelligence into security. It provides centralized management, analytics, and intelligence across the foundation of IT services. According to Groombridge, research vice president at Gartner, using the CSMA approach will help companies reduce the financial burden of individual security incidents by approximately 90% by 2024.

Privacy-Enhancing Computation (PEC)


How do companies take advantage of the real value of data? By using PEC techniques to protect sensitive information and securely share data across the ecosystems without compromising confidentiality. There are various techniques for using PEC, but the most common ones include encrypting, splitting, and preprocessing data. It is predicted that by 2025, more than half of the world’s largest companies will utilize PEC techniques in analytics, BI, and cloud computing to gain an early competitive advantage on a global stage.

Cloud-Native Platforms (CNPs)


The notion of basic lift and shift legacy applications often do not take full advantage of cloud attributes. A cloud-native architecture helps solve this problem by rebuilding applications to produce advanced automated cloud services that deliver faster time to value. CNPs use the core application functionality of cloud computing to provide scalable and elastic IT-related services. 

Composable Applications

Source: Gartner

Composable application architectures provide a quick change of existing modules, from there, the IT team can easily self-assemble to address a particular business concern. An effective composable applications architecture will save thousands of hours of manual effort and outpace by 80% in the time new features implement. 

Decision Intelligence


Decision Intelligence enhances the decision-making process by explicitly engineering how decisions are made, and how outcomes are evaluated, and improved by sorted feedback. In particular, decision intelligence is the combination of data-driven support and AI-powered augmentation to generate automated decisions for the firm.

AI Engineering


The more the use of AI grows, the more demand for AI Engineering. AI Engineering is a discipline focusing on a wide range of operationalized AI models (machine learning and knowledge graphs) to deliver the most consistent and accurate value to the business. According to Gartner research, by 2025, enterprises establishing AI Engineering best practices will be three times more profitable than those that do not.

Distributed Enterprise

Source: Gartner

With the massive growth in hybrid working models, companies are evolging into distributed enterprises. Organizations that exploit distributed enterprises increases their ability to capture market share and consumer changes by adopting “virtual first, remote first” principles. This architectural approach helps companies acknowledge their customers’ behaviors quickly and improve services as well as customer relationships from there.

Total Experience (TX)

Source: Gartner

Total experience is a business strategy that simple combines the disciplines of customer experience, employee experience, user experience, and multiexperience. The purpose of TX is to drive greater experience of both customers and employees, to enhance the overall experience for all stakeholders. Companies will increase revenue and profit remarkably by achieving world-class customer and employee advocacy levels.

Autonomic Systems


Autonomic systems allow businesses to adapt quickly to unexpected events in the field by modifying their own algorithms without any external software updates. These systems response to changes, and enable complex management when necessary. 

Generative AI


Generative AI is machine learning method that consistently learn contents/ objects from the database, and use it to generate brand-new artifacts. Applying generative AI will accelerate the R&D and manufacturing processes. Generative AI is expected to account for 10% of all data produced by 2025.


World-wide organizations are emerging IT solutions to drive innovation and accelerate growth. There is no doubt that there will be a rapid rise in adopting advanced technologies, analytics, automation and AI in the business world. We hope this blog helps organizations have better insights on how to effectively build resilience and improve critical IT infrastructure for long-term success.


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