As every year, major IT market researchers are unveiling their trend forecasts for the year ahead. Gartner kicks things off – anticipating a disruptive, high-risk future, yet also highlighting numerous innovations.

According to Gartner analysts, 2026 will be a year of technological change at an unprecedented pace – a year marked by massive disruption, but also brimming with new opportunities for CIOs and other high-tech executives.

The Top Strategic Technology Trends for 2026, which Gartner projects for 2026 and the next five years, are deeply interwoven – and, per Gartner’s analysts and Computerwoche, reflect the reality of an AI-driven, hyperconnected world. Against the backdrop of this imminent large-scale transformation, companies must act now to drive innovation and “operational excellence” – while not losing sight of the need to build digital trust.

More Innovation Than Ever Before

Tori Paulman, Vice President at Gartner, describes the already-observed – and anticipated – unprecedented pace of development in these words: “What feels different this year is the speed. In a single year, we’ve witnessed more innovation than ever before.” To keep up and weather this volatility, companies must act immediately. Only then can they stand a chance of helping to shape the future of their industry over the coming decades. The technology trends Gartner has identified for 2026 and beyond serve as catalysts for business transformation. They are, in order:

AI Supercomputing Platforms, Multi-Agent Systems, Domain-Specific Language Models (DSLMS), AI Security and AI-Native Development Platforms, Confidential Computing, Physical AI, Preemptive Cybersecurity, Digital Provenance, and Geo-Partitioning.

The Top 10 Technology Trends in Detail

Geopartitioning – a term coined by Gartner – refers to the trend of relocating enterprise data and applications from global public clouds to regional providers or sovereign cloud environments. Initially limited mainly to banks and government agencies, geopartitioning is accelerating amid growing global instability. By 2030, over 75 percent of enterprises in Europe and the Middle East are expected to shift their virtual workloads regionally to mitigate risk – up from just 5 percent in 2025.

AI Supercomputing Platforms, according to Gartner, will become pivotal in accelerating AI development. These platforms integrate CPUs and GPUs with AI-specific ASICs, neuromorphic chips, and alternative computing paradigms to orchestrate complex workloads – and push performance, efficiency, and innovation into entirely new dimensions. With immense computational power, such systems could, for example, cut drug discovery timelines from years to weeks and soon deliver network operators real-time data on imminent or potential extreme weather events.

Gartner forecasts that by 2028, over 40 percent of leading enterprises will have integrated these hybrid computing-paradigm architectures into their mission-critical workloads – up from just 8 percent today.

Multiagent Systems (MAS) combine multiple AI agents that interact collaboratively to tackle individual, complex tasks – and identify practical pathways for automating business processes. Their modular architecture boosts efficiency, accelerates deployment, and reduces risk through reuse of proven solutions.

Domain-Specific Language Models (DSLMs) speak for themselves – and excel at handling specialized tasks.

Gartner expects that by 2028, more than half of all language models deployed by enterprises will be domain-specific. The same holds true for AI security platforms.

Confidential Computing aims to better protect sensitive data by isolating workloads within hardware-based trusted execution environments (TEEs). Both data content and processing remain private – even cloud infrastructure providers cannot access them. Per Gartner, by 2029, three-quarters of compute operations running on untrusted infrastructure will be secured via confidential computing.

Physical AI brings artificial intelligence into the physical world – enabling not only robots but also drones and industrial machinery to perceive their surroundings and act accordingly.

Preemptive (or Preventive) Cybersecurity seeks to curb the exponential rise in AI-driven threats. It empowers CIOs to shift from reactive defense to proactive protection – including the ability to deceive attackers using AI-powered techniques. Gartner projects that by 2030, roughly half of all security spending will go toward such preventive solutions.

Finally, Digital Provenance, per Gartner and Computerwoche, is essential for verifying the origin, ownership, and integrity of software, data, processes, and media – especially third-party software and AI-generated content. As regulatory and legislative requirements in this area intensify, companies ignoring data provenance could face sanctions reaching into the billions of euros by 2029.

Image source: Adobe Stock / viking75

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Frequently Asked Questions

Gartner Vice President Tori Paulman describes the already-observed – and anticipated – exceptional pace of development in these words: “What feels different this year is the speed. We’ve seen in a single