What Gartner’s 2022 Tech Trends Reveal About AI and Enterprise IT

Gartner’s 2022 strategic technology trends highlight how AI, cloud‑native platforms, data fabric, and security innovations are reshaping enterprises, urging CIOs to engineer trust, shape change, and accelerate growth while preparing for generative AI, autonomous systems, and total experience strategies.

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What Gartner’s 2022 Tech Trends Reveal About AI and Enterprise IT

Gartner recently released the important strategic technology trends enterprises need to explore in 2022, announced at the Gartner IT Symposium/Xpo Americas. David Groombridge, Gartner research vice‑president, explained that CEOs and boards are seeking direct digital connections with customers, so CIO priorities must support growth, innovation, and scalable, resilient technology foundations.

The three overarching themes are engineered trust, shaping change, and accelerating growth.

Generative Artificial Intelligence

Generative AI, a powerful machine‑learning method that creates original artifacts from data, can be used for software code, drug discovery, and targeted marketing, but also poses risks such as fraud and misinformation. Gartner predicts it will generate 10% of all generated data by 2025, up from less than 1% today.

Data Fabric

Data Fabric offers a flexible, resilient way to integrate data across platforms, reducing technical debt and cutting data‑management workload by 70% while accelerating value realization.

Distributed Enterprise

With the rise of remote and hybrid work, enterprises are evolving into distributed enterprises, requiring frictionless work experiences and new delivery models. Gartner expects 75% of such enterprises to achieve 25% faster revenue growth by 2023.

Cloud‑Native Platform (CNP)

To deliver digital capabilities anywhere, organizations must shift from lift‑and‑shift to CNP, leveraging cloud core capabilities to provide scalable, resilient IT services as‑a‑service, speeding value delivery and lowering costs. By 2025, over 95% of new digital initiatives will be built on CNP.

Autonomic Systems

Autonomic systems are self‑managing software or physical systems that learn from their environment and adapt without external updates, paving the way for robots, drones, manufacturing machines, and smart spaces.

Decision Intelligence (DI)

Decision Intelligence is a discipline that improves decision‑making through clear design, feedback evaluation, and continuous improvement. Within two years, one‑third of large enterprises will adopt DI to enhance competitive advantage.

Composable Applications

Composable application architecture enables rapid, secure, and efficient changes, allowing organizations to deliver new functionality up to 80% faster than competitors.

Hyperautomation

Hyperautomation accelerates growth and resilience by rapidly identifying, auditing, and automating processes, focusing on quality, speed, and decision agility. Top hyperautomation teams support an average of 4.2 automation initiatives.

Privacy‑Enhancing Computation (PEC)

PEC protects personal and sensitive data at the data, software, or hardware level, enabling secure sharing and analysis without compromising privacy. Gartner forecasts that 60% of large enterprises will adopt PEC technologies by 2025.

Cybersecurity Mesh (CSM)

CSM provides an integrated security framework for assets and users anywhere, reducing the average financial impact of security incidents by 90% by 2024.

AI Engineering

AI Engineering offers a comprehensive approach to operationalize AI models, ensuring value delivery and avoiding wasted effort. By 2025, enterprises that adopt AI Engineering best practices will generate at least three times the AI‑related value of those that do not.

Total Experience (TX)

TX combines customer, employee, user, and multi‑experience disciplines into a business strategy aimed at boosting confidence, satisfaction, loyalty, and advocacy, ultimately increasing revenue and profit.

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Cloud NativeAItechnology trendsenterprise ITData Fabric
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