Top 10 Strategic Technology Trends for 2023 According to Gartner

Gartner Inc. unveiled its top ten tactical technology trends for 2023 this week at the Gartner IT Symposium/Xpo in Orlando. The ten trends are classified into four categories: optimize, scale, pioneer, and viability.

The top ten trends by Gartner unveiled were limited to Digital immune system, AI trust, risk, and security management (AI TRiSM), Applied observability, Platform engineering, Wireless-value realization, Industry cloud platforms, Superapps and Adaptive AI.

Digital Immune System

As CIOs take on more revenue-generating obligations, antiquated development as well as testing approaches are no longer adequate for delivering robust and reliable business-critical solutions that also offer an excellent user experience.

A Digital Immune System (DIS) integrates numerous software engineering strategies, such as observability, autonomy, as well as extreme testing, to improve the customer experience by mitigating security and operational risks.

Gartner predicts that organizations that invest in digital protection will increase end-user gratification through applications that achieve higher uptime and provide a better user experience by 2025.

Applied observability

The route to data-driven decisions includes a shift from tracking and responding appropriately to data to preemptively trying to apply that data across the enterprise in a structured and integrated manner.

This can reduce the time it takes to make critical decisions while also allowing for faster, more effective planning.

According to Gartner, observable data is an organization’s “most valuable monetizable asset,” and leaders should look for use cases as well as core competences where this data can provide a competitive edge.

AI Trust, Risk and Security Management (AI TRiSM)

As AI algorithms become more intricate and complex, leaders must incorporate governance, integrity, impartiality, reliability, efficacy, and confidentiality into AI operations.

AI TRiSM consists of tools as well as procedures that make AI models simpler to comprehend and explain while also significantly improving privacy and security.

According to Gartner, companies that implement AI transparency, trust, as well as security will see a 50% advancement in adoption, business goals, and user adoption by 2026.

Metaverse

Gartner defines the metaverse as an iterated innovation, rather than a single technology, that combines multiple technological trends into a collaborative virtual setting in which individuals can augment physical reality.

This innovation converts or extends the physical world into a virtual world in which organizations can enhance employee collaboration and engagement.

Although Gartner warns that the metaverse is still in its infancy and that long-term investment is questionable, it predicts that by 2027, more than 40% of large businesses worldwide will be employing Web3, spatial computing, as well as digital twins to boost sales through metaverse-based projects.

Superapps

In the era of smartphones as well as a digital-native generation, there is an increasing demand for mobile-first interactions that offer a variety of services through a user-friendly interface.

This demand has resulted in a trend of organizations that adopt superapps, a configurable application and framework that offers end-users with such a set of core functionalities as well as access to totally independent created “miniapps” that enable a consistent and customized user experience inside a single app.

Gartner predicts that by 2027, more than half of the world’s population will be everyday active users of numerous superapps.

Adaptive AI

Adaptive a.i. enables models to self-adapt in manufacturing or change after deployment based on real-time feedback from previous machine and human experiences.

This is becoming highly significant as decision making becomes more connected, contextualized, and continuous.

Gartner predicts that by 2026, enterprises that use AI engineering practices to develop and oversee adaptive AI systems will surpass their peers by at least 25% when it comes to implementing AI models.

Technology for Sustainability

Sustainable technology has emerged at the top of several company executives’ list of concerns, and it should be viewed as a framework of options that increase the energy and material overall effectiveness of IT services, facilitate enterprise as well as customer sustainable development, push environmental, social, as well as governance (ESG) outcomes.

Businesses can enhance traceability, reduce the environmental impacts, provide customers and suppliers with tools to monitor sustainability targets by utilizing technologies like A.I, automation, actionable insights, and shared cloud services, among many others.

Gartner predicts that by 2025, 50% of CIOs will have metrics tied to IT organization sustainability.

Platform Engineering

Modern software architectures are becoming increasingly complex, and end users are requested to operate these services with non-expert understanding.

Platform engineering has surfaced between both the service and the end-user as a solution to this increasing friction, delivering a compiled set of stackable self-service techniques, functionality, and methods, maximizing the developer experience as well as boosting digital application delivery.

According to Gartner, by 2026, 80% of software development organizations will have platform teams, with 75% of those having developer self-service platforms.

Wireless-value Realization

Gartner predicts that by 2025, 50% of enterprise wireless access points will use networking services that provide extra features further than communication, up from less than 15% today.

Wireless-value realization relates to an expanding set of next-generation wireless technologies and protocols that will provide value beyond connectivity, such as location tracking, ultra-low-power energy harvesting, and radar sensing.

Industry Cloud Platforms

According to Gartner, more institutions will utilize industry-specific cloud – based services to improve agility, speed to innovation, and time to value.

This includes integrating traditionally procured a la carte cloud software, platform, and infrastructure services into pre-integrated yet flexible tools tailored to the requirements of specific industry verticals.

According to Gartner, the bundled abilities can be used as building blocks for organizations to create new and differentiated digital initiatives.