Gartner(US:IT) Sou Hu Cai Jing·2025-11-08 18:56Core Insights - Gartner identifies ten strategic technology trends that organizations need to focus on by 2026, emphasizing the unprecedented speed of innovation and transformation in the current year [1][3]. Group 1: AI Supercomputing Platforms - AI supercomputing platforms integrate various computing resources to manage complex workloads, enhancing performance and innovation potential [6]. - By 2028, over 40% of leading companies will apply hybrid computing paradigms to critical business processes, a significant increase from the current 8% [8]. Group 2: Multi-Agent Systems - Multi-agent systems consist of multiple AI agents that interact to achieve complex individual or collective goals, enhancing automation and collaboration [10]. Group 3: Domain-Specific Language Models (DSLM) - DSLMs are tailored AI models trained on specific industry data, providing higher accuracy and compliance for specialized tasks compared to general models [11]. - By 2028, over half of generative AI models used by enterprises will be domain-specific [13]. Group 4: AI Security Platforms - AI security platforms offer unified protection mechanisms for AI applications, helping organizations monitor activities and enforce usage policies [16]. - By 2028, over 50% of enterprises will utilize AI security platforms to safeguard their AI investments [16]. Group 5: AI Native Development Platforms - AI native development platforms enable rapid software development through generative AI, allowing non-technical experts to create applications [19]. - By 2030, 80% of enterprises will transform large software engineering teams into smaller, agile teams empowered by AI [19]. Group 6: Confidential Computing - Confidential computing protects sensitive data by isolating workloads in trusted execution environments, crucial for regulated industries [20]. - By 2029, over 75% of business processes handled in untrusted infrastructures will be secured through confidential computing [22]. Group 7: Physical AI - Physical AI empowers machines and devices with perception, decision-making, and action capabilities, providing significant benefits in automation and safety [23]. Group 8: Proactive Cybersecurity - Proactive cybersecurity is becoming a trend as organizations shift from passive defense to active protection, with AI-driven solutions playing a key role [26]. Group 9: Digital Traceability - Digital traceability is essential for verifying the source and integrity of software and data, especially as reliance on third-party software increases [30]. Group 10: Geopolitical Repatriation - Geopolitical repatriation involves moving data and applications to local platforms to mitigate geopolitical risks, a trend expected to grow significantly by 2030 [33].