Top 12 Strategic Tech Trends For 2022
Top 12 Strategic Tech Trends For 2022

Oct 29, 2021

Top 12 Strategic Tech Trends For 2022

Gartner Inc. announced its top 12 strategic technology trends for 2022 that will accelerate digital capabilities and drive growth over the next 3 to 5 years.

In 2022, CEOs have three priorities: growth, digitization, and efficiency. The past 18 months have accelerated the need for digital technologies, and organizations must adapt more quickly to changing conditions.

Gartner’s research projects the highest growth rate for IT budgets in the last decade at 3.6% higher than 2021 levels, which are projected to be 2% higher than 2020 levels. The analysis is based on a survey of nearly 2,400 CIOs and technology executives globally across a variety of industries.

Just as survival required more creative use of technology, the growth path will also emphasize creative use of technology, which is not surprising.

The twelve technology trends fall under three main themes:

  1. Engineering Trust: Technologies in this segment create a more resilient and efficient IT foundation by ensuring data is integrated and processed more securely across cloud and non-cloud environments, to deliver cost-efficient scaling of the IT foundation.
  2. Sculpting Change: By releasing creative new technology solutions in this area, you can scale and accelerate your organization’s digitalization. These technology trends allow you to respond to the increasing pace of change by creating applications more rapidly to automate business activities, optimize artificial intelligence (AI), and enable quicker smarter decisions.
  3. Accelerating Growth: By capitalizing on strategic technology trends in this segment, you’re unleashing IT force multipliers that will win business and market share. Together, these trends enable you to maximize value creation and enhance digital capabilities.

Gartner’s strategic technology trends for 2022 are:

1. Data Fabric

Gartner defines data fabric as a design concept that serves as an integrated layer (fabric) of data and connecting processes. This fosters resilient and flexible integration of data across business users and platforms. The upshot is that it can reduce data management efforts substantially while dramatically improving time to value.

2. Cybersecurity Mesh

Cybersecurity mesh is a form of architecture that provides an integrated approach to security IT assets no matter their location. It provides a more standardized and responsive approach to cybersecurity by redefining the perimeters of cybersecurity to the identity of a person or a thing. This is a pathway to reduce the financial implications of cyber incidents by 90% in less than two years, according to Gartner.

3. Privacy-Enhancing Computation

Privacy-enhancing computation can protect a company’s and its customers sensitive data, protecting the confidentiality of data. Gartner hypothesizes that this is a pathway to maintain customer loyalty by decreasing privacy-related issues and cybersecurity events, and it believes that roughly 60% of large enterprises will leverage these practices by 2025.

4. Cloud-Native Platforms

Cloud-native platforms are technologies that allow you to build new application architectures that are resilient, elastic, and agile — enabling you to respond to rapid digital change. This improves on the traditional lift-and-shift approach to cloud, which fails to take advantage of the benefits of cloud and adds complexity to maintenance.

5. Composable Applications

Composable applications are built from business-centric modular components, making it easier to use and reuse code, accelerating the time to market for new software solutions, and releasing enterprise value.

6. Decision Intelligence (DI)

Decision intelligence aims to model decisions in a repeatable way to make them more efficient and to hasten the speed to value. It anticipates doing so through automation that enhances human intelligence. Gartner predicts that in the next two years, one-third of large enterprises will use DI for better and more structured decision-making.

7. Hyperautomation

Automation is a critical ingredient for digital transformation. Hyperautomation suggests a faster path to identifying, vetting, and automating processes across the enterprise. Gartner noted that areas to focus on in order to best accomplish this include improving work quality, hastening the pace of business processes, and fostering nimbleness in decision making.

8. AI Engineering

AI engineering aims to optimize the value of production AI solutions by automating updates to data, models, and applications to streamline AI delivery. Combined with strong AI governance, it will operationalize the delivery of AI to ensure its ongoing business value.

9. Distributed Enterprises

Distributed enterprises reflect a digital-first, remote-first business model to improve remote employee experiences, digitalize consumer and partner touchpoints, and build out product experiences. An increase in remotely located employees and consumers is growing demand for virtual services and hybrid workplaces.

10. Total Experience

Total experience is a business strategy that integrates employee experience, customer experience, user experience, and multi-experience across multiple touchpoints to accelerate growth. The goal of total experience is to drive greater customer and employee confidence, satisfaction, loyalty, and advocacy, through holistic management of stakeholder experiences.

11. Autonomic Systems

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 creates an agile set of technology capabilities, able to support new requirements and situations, optimize performance and defend against attacks without human intervention.

12. Generative Artificial Intelligence (AI)

Generative AI references algorithms that enable using existing content like audio files, images, or text to create new content. Gartner predicts that in the next three and a half years, generative AI will account for 10% of all data produce compared to less than 1% at present. Case examples offered included supporting software development more generally, assisting companies in finding candidates to fill talent shortfalls and identifying drug candidates more readily.

How can organizations use the list of top technologies?

CIOs and IT executives should use these trends to analyze how their organizations need to evolve their implementation and technology adoptions over the next three to five years.

Organizations that adopt and plan for these trends will create long-term roadmaps for reliant and sustainable business growth.

Want to know more about Clarika? We help companies grow by improving processes and creating next-level solutions through technology. We listen and understand what the client wants to start the staffing process. For us, it’s very important to get to know the technical requirements, and also the culture and values of our client. Contact us.

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