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What Gartner predicts will be the biggest tech trends in 2023


Most every vendor out there is aimed at cutting costs through efficiency and increasing revenue.


A top strategic trend for 2023 by Gartner reveals that businesses can use specific strategies and products to mirror overarching goals by taking a flexible, choose-your-own-adventure approach.


Among businesses, some will be cutting costs next year, while others will experience skyrocketing growth levels. A third group will simply be reinventing themselves, according to Gartner VP analyst Frances Karamouzis.


"Optimizing, scaling, and pioneering are the three ways to achieve this.", Karamouzis said.


Sustainability


Environmental and social changes are becoming increasingly prominent across executive agendas, making sustainable technology an overarching theme. This group includes tools for traceability, analytics, renewable energy, and artificial intelligence.


Metaverse


The "metaverse" is one of the most hyped terms of 2022, and it can mean a lot of things to a lot of people.


It is described as the merging of virtual enhanced physical and digital reality by Gartner, which defines it as a collective virtual 3D shared space. The analyst firm anticipates that this market will not be controlled by a single vendor, despite a large marketing push from Facebook parent company Meta.


In the next five years, Gartner predicts that two out of five large organizations will launch metaverse-based projects to generate revenue. This is the technology's first appearance on the annual trend list.


Superapps


By 2027, half of the global population will be using multiple superapps on a daily basis, according to Gartner. But what are superapps?


"In addition to its own set of functions, a superapp is also a platform that enables third parties to develop and publish their own mini apps.", Karamouzis explained.


Essentially, a superapp provides customers or employees with a single app that replaces multiple apps.


"This is a game-changer for end users in terms of what they can use, but it's also a game-changer for branding.", Karamouzis said.


Adaptive AI


Currently, AI systems must be trained on historical data to ensure accuracy, which becomes challenging as conditions change quickly. Adaptive AI, however, combines real-time feedback with dynamic learning to adjust goals dynamically.


Digital immune system


By leveraging data-driven insights, a digital immune system can improve operations, automate incident resolution, and increase system stability.


“This is a way of taking observability, augmented testing, chaos engineering, auto remediation, and site reliability and putting them together into a preconfigured element for all developers, so they are optimizing the resiliency of the application platforms they are developing.”, said Karamouzis.


AI trust, risk and security management


As a framework, it is specific to all AI algorithms and models operating within AI. By integrating controls within the model, it addresses the issues that could compromise AI models and data.


Industry cloud platforms


As a result of the combination of SaaS, PaaS, and IaaS, companies will be equipped with industry-specific sets of modular capabilities to serve specific use cases.


From Microsoft to Amazon Web Services, providers have been addressing industry-specific needs for years. Industry cloud platforms will be used by half of enterprises by 2027, according to Gartner.


Platform engineering


Based on the report, platform engineering allows companies to build and operate self-service development platforms.


By 2026, four out of five companies will establish platform teams. This approach will allow companies to improve developer experiences and accelerate customer value delivery.


Wireless value realization


It is expected that no single technology will dominate the landscape of wireless solutions needed, as 5G technology has been touted as a potential enterprise technology disruptor in certain areas.


"In essence, this trend is about how to implement wireless technologies around all of the different endpoints and extend the network.", said Karamouzis.


With built-in analysis and low-power systems, they will gather energy directly from the network, so the network can become an immediate source of value.


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