2026年重点关注的十大战略技术趋势

Navigating an AI-powered, hyperconnected world Technology leaders face a pivotal year in 2026, where disruption, innovation and risk are accelerating at unprecedentedspeed. The Gartner Top 10 Strategic Technology Trends for 2026 are more than technology shifts — they are catalystsfor business transformation, demanding a C-Level response. This year’s trends reflect the realities of an AI-powered, hyperconnected world where no single capability is enough.They are organized into three themes that define how leading organizations will innovate, compete and protect value: The Architect The Synthesist The Vanguard Build secure, scalable and adaptive digitalfoundations with AI-native developmentplatforms, AI supercomputing andconfidential computing. Orchestrate diverse technologies — frommultiagent systems to domain-specificlanguage models and physical AI — tounlock new sources of value. Elevate trust, governance and securitythrough preemptive cybersecurity, digitalprovenance, AI security platforms andgeopatriation. As you explore these trends, consider how they align with your organization’s strategic ambitions and how they can beintegrated into your planning to drive sustainable growth and competitive advantage. Gene AlvarezDistinguished Vice President, Businessand Technology Insights, Gartner Gartner Top Strategic Technology Trends for 2026 Gartner carefully selectedthese 10 trends based ontheir potential to driveinnovation, strengthenresilience and elevatetrust in an AI-powered,hyperconnected world. They represent strategicimperatives that requirethoughtful considerationand decisive action fromtechnology leaders. The Architect The Vanguard The Synthesist 1AI-native developmentplatforms2AI supercomputing platforms3Confidential computing 4Multiagent systems5Domain-specific languagemodels6Physical AI 7Preemptive cybersecurity8Digital provenance9AI security platforms10Geopatriation The Architect To accelerate innovation and resilience, technology leaders mustmodernize platforms and infrastructure. The Architect trendsfocus on creating AI-ready foundations that enable speed,security and scalability — essential for thriving in an AI-powered,hyperconnected world. Build secure, scalable andadaptive digital foundations. AI-nativedevelopmentplatforms1 What’s next 80% of organizations will evolve large software engineeringteams into smaller, AI-augmented teams by 2030. 40% of enterprise application portfolios will includecustom applications built using AI-native platformsby 2030 (up from 2% in 2025). Tiny teams What is it? Before Now AI-native development platforms use generative AI to createsoftware faster and easier than ever before. These platforms rangefrom “one-shot” tools that generate software from a single prompt,through “vibe coding” tools that enable software developmentwithout deep technical knowledge, to AI agents orchestratedtogether to create software. Larger teams with numerous employees Tiny teamsenabled by AI-native development platforms Why trending? CIOs are enthusiastic about faster software delivery andproductivity gains, while CEOs and CFOs recognize cost-savingpotential. AI-native development platforms empower “tiny teams”to build more applications with the same resources — enabling,for example, five teams of two to deliver five applications atonce. This trend helps CIOs address backlogs and shift the“build vs. buy” equation toward building. Deliver results with AI-native development platforms Action plan to boost speed, save costs and spark innovation Key players to support implementation success CIO Business partners IT partners Product owners:Provide domain expertise and validateAI-driven solutions. Platform engineering:Manage AI-native tools, integrationsand performance. Partner:Define AI-first strategy and governanceframework. Collaborate:Align platform capabilities with businesspriorities. Security:Implement AI governance for code review andrisk management. Finance:Align funding models to support AI-nativedevelopment initiatives. Govern:Ensure compliance and security guardrails forAI-native development. Procurement:Evaluate and select AI-native platformvendors and services. AI supercomputingplatforms2 What’s next 40% of enterprises will adopt hybridcomputing architectures by2028 (up from 8%). vendors will offer unifieddeveloper platformsleveraging supercomputingenvironments by 2028. AI supercomputing platform What is it? AI supercomputing platforms deliver the massive processingpower needed to train and run advanced AI models. Thesesystems combine high-performance computing (HPC),specialized processors and scalable architectures to handledata-intensive workloads. Why trending? Demand for AI supercomputing is surging as organizationsdevelop larger, more complex models that exceed traditionalinfrastructure limits. Deliver results with AI supercomputing platforms Action plan to unlock massive processing power Key players to support