Top Technology Trends for 2022

Each year, Gartner identifies technology trends that are critical to business. This year’s list consists of 12 strategic trends that will enable CEOs to deliver growth, digitalization and efficiency as well as position CIOs and IT executives as strategic partners in the organization:

  • Data fabric makes data available everywhere it’s needed, regardless of where it ‘lives’. Data fabric can use analytics to learn and actively recommend where data should be used and changed.
  • Cybersecurity mesh integrates widely distributed and disparate security services, allowing stand-alone security solutions to work together to improve overall security while also moving control points closer to the assets they’re designed to protect.
  • Privacy-enhancing computation secures the processing of personal data in untrusted environments by utilizing a variety of privacy-protection techniques to allow value to be extracted from data while still meeting compliance requirements.
  • Cloud-native platforms improve on the traditional lift-and-shift approach to cloud to allow new application architectures that are resilient, elastic and agile.
  • Composable applications make it easier to use and reuse code, accelerating time-to-market for new software solutions.
  • Decision intelligence supports and enhances human decision-making through the use of augmented analytics, simulations and AI.
  • Hyperautomation enables scalability, remote operation and business model disruption as it works to vet and automate as many business and IT processes as possible.
  • AI engineering automates updates to data, models and applications to streamline AI delivery and ensure its ongoing business value.
  • Distributed enterprises better serve the needs of remote employees and consumers by reflecting a digital-first, remote-first business model.
  • Total experience is a business strategy that integrates employee experiences, customer experiences, user experiences and multi-experiences across multiple touchpoints to accelerate growth. This can drive greater customer and employee confidence, satisfaction, loyalty and advocacy.
  • Autonomic systems are self-managed physical or software systems that learn from their environments and dynamically modify their own algorithms in real time to optimize their behavior in complex ecosystems. This allows for performance to be optimized and security to be enhanced without the need of human interventions.
  • Generative AI learns about artifacts from data to generate innovative new creations. It has the potential to create new forms of creative content as well as accelerate R&D cycles. 

 

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