According to Gartner, hot strategic topics to watch for in 2022 include cybersecurity mesh, data fabric architecture, autonomic systems, generative AI, and decision intelligence.

Here are Gartner’s top 12 strategic technology trends for 2022.

  1. Data Fabric

Data fabric is a design concept that acts as an integrated layer (fabric) of data and connecting processes, according to Gartner. It uses analytics over existing metadata assets to support the design, deployment and utilization of integrated and reusable data across all environments.

It can reduce data management efforts by up to 70 percent by using analytics to learn and locate where data is used and recommend how it should be changed.

  1. Cybersecurity Mesh

Cybersecurity mesh is a flexible, composable architectural landscape that integrates distributed and disparate security services across a wide environment.

Gartner predicts that by 2024, organizations using a cybersecurity mesh architecture will decrease the costs associated with security incidents by about 90 percent.

  1. Privacy-Enhancing Computation

Privacy-enhancing computation techniques allow secure data processing, sharing, cross-border transfers and analytics that protect data while it’s being used, according to Gartner.

It safely secures the data processing in untrusted environments, which is becoming more and more critical as privacy and data protection laws continue to evolve. Through privacy-enhancing computation, privacy-protection techniques allow value to be extracted from data while still meeting compliance requirements, according to Gartner.

  1. Cloud-Native Platforms

Cloud-native platforms allow IT leaders to build new applications that are long withstanding and flexible. Cloud adoption has been on the rise since the start of the pandemic, with Gartner predicting that cloud deployments will quickly surpass private data center workloads.

  1. Composable Applications

Composable applications are built from modular components that center around the business environment. They make it simple to use and reuse code, rapidly increasing the time it takes to go to market with new software solutions.

  1. Decision Intelligence

Decision intelligence is the most practical approach to improve organizational decision making, according to Gartner. Effective decision making in modern-day, challenging business environments are critical and require set of processes. Intelligence and analytics are used to inform, learn from and refine decisions, driving new core competencies.

  1. Hyper automation

Hyper automation is a unique way to rapidly identify, vet and automate as many business and IT processes as possible. Through artificial intelligence, machine learning, robotic process automation (RPA), integration platform-as-a-service, low-code/no-code tools and more, hyper automation helps enable scalability and remote operations and fix business model disruptions, according to Gartner.

  1. AI Engineering

Artificial intelligence engineering automates updates to data, models and applications to streamline AI delivery, Gartner stated. With strong AI governance, AI engineering can operationalize the delivery of AI to ensure ongoing valued business practices.

  1. Distributed Enterprises

Distributed enterprises are a reflection of a digital, remote-first business model that improves employee experiences, digitalize consumer and partner touchpoints and builds out product experiences, Gartner stated.

  1. Total Experience

Total experience is a strategic business approach that encompasses employee experience, customer experience, user experience and multi-experience across a variety of touchpoints to enable growth within a company, according to Gartner.

  1. Autonomic Systems

Autonomic systems are self-managed physical or software systems that learn from their environments and greatly modify their own algorithms in real time, according to Gartner. This optimizes their behavior in complex environments.

  1. Generative AI

Generative AI learns about artifacts from data and generates new creations that are similar to the original, but doesn’t repeat it, Gartner stated. While it advances machine learning, computer vision and edge artificial intelligence drive adoption, it also improves existing process and platforms and helps with organizational needs to streamline and speeds up operations.

(This is a slightly modified version of an article originally published in CRN. The original article can be found at