Gartner’s Top Strategic Tech Trends for 2023

Gartner, the leading IT research organisation has revealed its top 10 technology trends and predictions for 2023 and beyond.

In the new report “Top Strategic Technology Trends 2023”, the organisation takes a focused look at what next years’ biggest trends will be and what businesses can expect.

With the current state of the economy, threat of recession, and issues with supply chain, digital skills shortages, and energy sourcing, companies should look at enhancing their financial position during uncertainty. With this in minds IT leaders should look beyond saving money or cutting down costs, to digital transformation and new form of operations. Because of this, Gartner’s technology trends for 2023 revolve around four major themes: optimise, scale, pioneer, and sustainable technology.

These are Gartner’s top 10 technology trends for 2023:

  • Digital Immune System
  • Applied Observability
  • AI Trust, Risk and Security Management (AI TRISM)
  • Industry Cloud Platforms
  • Platform Engineering
  • Wireless-Value Realization
  • Superapps
  • Adaptive AI 
  • Metaverse 
  • Sustainable Technology

Digital Immune System

Gartner says that organisations that will invest in building digital immunity by 2025, will see an increase in customer satisfaction and higher revenue by decreasing downtime by 80%.

A digital immune system (DIS) combines technologies and practice from artificial intelligence (AI)-augmented testing, autoremediation, site reliability engineering, observability, and software supply chain security to increase the resilience of services, products, and systems.

It also said that 76% of digital teams are now responsible for revenue generation. With CIOs now looking at new ways their teams can adopt to deliver high business value, increase customer satisfaction, and mitigate risks, a digital immune system provides the answer according to Gartner.

Use cases: American Airlines and Banco Itau

Applied Observability

Applied observability is the applied use of observable data in a highly orchestrated and integrated approach across various business functions, infrastructure, operations, and applications teams. The aim is to allow for the shortest latency from action to reaction and proactive strategizing of business decision. The observable data is engineered, catalogued and layered with semantic understanding for business context, which results in both passive and active metadata.

Gartner said that by 2026, 70% of organisations that successfully applied observability will have shorter latency for decision making. Which will enable competitive advantage for target IT or business processes.

Use cases: Klaveness Ship Management and Tesla

AI Trust, Risk and Security Management (AI TRiSM)

AI needs new forms of trust, risk and security managements that conventional controls don’t allow for. New AI TRiSM capabilities guarantee model trustworthiness, security, reliability and privacy.

Gartner said that by 2026, companies that operationalise AI transparency, security and trust will find that their AI models will achieve a 50% result improvement in areas of adoption, user acceptance, and business goals.

AI TRiSM supports AI model trustworthiness, fairness, reliability, governance, robustness, efficacy and privacy. It also encapsulated techniques, solutions, and processes for model explainability and interpretability, model operations, adversarial attack resistance and AI privacy.

Use cases: Abzu and The Danish Business Authority

Industry Cloud Platforms

Gartner predicts that by 2027 more than 50% of organisations will be using industry cloud platforms to accelerate business initiatives.

Industry clouds bring value to businesses by incorporating cloud services that are traditionally bought separately into preintegrated, yet customisable industry-relevant solutions. It offers a combination of Saas, PaaS and Infrastructure as a service (IaaS), providing industry-specific sets of modular capabilities to support specific use cases.

Organisations can use PBCs of industry cloud platforms as building blocks to build unique and differentiating digital initiatives which provide innovation, agility, and reduced time to market, all the while avoiding lock-ins.

Use cases: Intermountain Healthcare and Hangzhou

Platform Engineering

According to Gartner, by 2026, 80% of software engineering businesses will create platform teams that are internal providers of reusable services, tools, and components for application delivery.

Forward thinking businesses have begun building operating platform that sit between the user and the backing services on which they rely. This is to help developers, end users, and data scientists, while also reducing friction for the important work they do.

The goal is to provide a seamless self-service experience which provides the correct capabilities to allow users to do valuable work with little overhears, while reducing their cognitive burden and increasing productivity. These platforms should contain everything the user team needs and be presented in whichever way best fits with the preferred workflows.

Use cases: Nike and Politiet

Wireless-Value Realisation

This is the integration of various wireless technologies which will provide more reliable, scalable and cost-efficient technical foundation that reduces capital expenditure.

According to Gartner, 50% of enterprise wireless endpoints will use networking services that deliver additional capabilities that go beyond communication by 2025. This will be go up from less than 15%.

Wireless-value realisation encapsulates everything from more traditional end-user computing, all the way through digital tagging solutions, and support for edge devices. Wireless is moving away from being simply a communications technology to becoming a wider digital innovation platform.

Use cases: Shufersal and Bosch-Siemens


Superapps are apps that give end-users a set of core features, along with access to autonomously created miniapps. It’s essentially a platform used to deliver consistent and bespoke app experiences.

Gartner said that by 2027, over 50% of the world’s population will be active users of multiple superapps on a daily basis.

Superapps are more than composite applications or portals that aggregate features, functions and services into a single user interface. A superapp is the ultimate manifestation of a composable architecture and application.

Use cases: Revolut and PayPay

Adaptive AI

Gartner said that businesses which have adopted AI engineering practices to manage and build adaptive AI systems will surpass their competitors in the operationalising AI models by at least 25% by 2026.

Due to the engineering complexity and the demand for faster launch to market times, it is highly critical that less AI engineering pipelines or build AI models that can adapt themselves in production are developed. Adaptive AI systems allow for the models behaviour to adapt and change after it has been deployed by learning behavioural patterns from previous human and machine experience. This means it’ll be able to faster adapt to changing real-world circumstances.

Use cases: The Danish Safety Technology Auhority, Dow, and Cerego


According to Gartner, by 2027, more than 40% of enterprises across the world will be using a mixture of Web3, digital twins, and spatial computing in metaverse-based projects aimed at enhancing revenue.

So what is metaverse? It’s a combinatorial innovation that’s made up of multiple technology trends and themes. On their own, these trends are predicted to provide new challenges and opportunities to businesses across a wide range of industries.

Metaverse tech allows people to replicate or enhance their real-world physical activities. This can happen in two ways: by transporting or extending physical activities to a virtual world, or by transforming the physical one.

Use cases: OneRare, JPMorgan Chase, and Siemens

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