沃丰科技：2026 AI Agent趋势报告

Market Overview - The market size for AI Agents is expected to reach $62 billion by 2026 according to Gartner data [1] - The enterprise penetration rate is projected to increase from 32% in 2024 to 58% in 2025 according to IDC data [1] - Over 90% of decision-makers are eager to introduce more AI Agent applications, with 88% of early adopters seeing positive ROI in at least one scenario [1] Five Core Transformative Trends 1. Universal Agentization: Empowering employees to achieve peak productivity - The shift from "instruction-driven" to "intention-driven" computing allows employees to set goals while AI Agents automatically plan execution paths, freeing them from repetitive tasks [3][20] - Over half of enterprises have deployed AI Agents in production, primarily for product innovation and research efficiency (43%) and automated customer service (38%) [4] 2. Business Flow Agentization: Building a "digital assembly line" - AI Agents connect independent systems to break down "business silos," integrating dispersed functions into end-to-end automated processes [6][30] - Technologies like MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols facilitate seamless information flow and collaboration between Agents [7][31] 3. Customer Experience Specialization: Creating a "concierge-style" service experience - AI Agents transform customer service from reactive problem-solving to proactive, personalized experience optimization, significantly improving metrics such as customer satisfaction and response accuracy [9][36][42] 4. Proactive Security Defense: Evolving from alerts to active interception - The security framework has advanced from passive defense (1.0) to proactive alerts (2.0) and now to intelligent defense (3.0), which includes autonomous responses and dynamic compliance [9] - The risk interception rate has improved from 40% to 80% through intelligent quality inspection based on large models [9] 5. Scalable Growth and Talent Upgrade: Knowledge governance driving value - The focus is shifting from execution to strategy and innovation, establishing a closed-loop system for knowledge accumulation, sharing, updating, and elimination [10] - Collaborations have led to a 40% reduction in redundant knowledge production, with knowledge updates occurring within 24 hours [11] Core Conclusion - The business competition in 2026 has evolved into a "human + Agent" collaborative competition, with AI Agents becoming a key driver of digital transformation by reconstructing employee work patterns, business processes, customer service experiences, security frameworks, and organizational talent structures, continuously generating significant commercial value [12]