企业AI代理的未来（英）

SURVEY REPORTThe Future of Enterprise AI AgentsUnlocking Autonomous Transformation in 2025Table of Contents 2 Survey Report: The Future of Enterprise AI AgentsIntroduction 3AI Agents: Ushering in the Future of Enterprise Technology 4Key Business Functions: Where AI Agents Add Value 5Approaches to Implementation 5Open Source vs. Closed Source 6What’s Holding Enterprises Back? 7Bias, Fairness, Ethics, and AI Governance 8Industry-Specific Trends: AI Agent Adoption 9Finance and Insurance 9Manufacturing 10Retail and E-Commerce 10Healthcare 11Telecommunications 11Recommendations for 2025 Agentic AI Adoption 12About Cloudera 13Conclusion: From Emerging Trend to Critical Enterprise Tech 12INTRODUCTIONEnterprise workflows are leveling up in 2025. Thanks to advances in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), agentic AI is transforming the way enterprises approach automation and decision-making, impacting everything from customer interactions to business operations. AI agents are autonomous software systems that can reason, plan, and act on behalf of users. Many consider AI agents to be the next evolution of chatbots. Both use AI to receive input and take action based on that input; however, chatbots follow a predetermined workflow and are limited to handling finite scenarios and user inputs. AI agents—whether model-based, goal-based or multi-system—are more interactive and capable of handling complex tasks by applying reason and determining the best course of action autonomously.When implemented correctly, agentic AI offers tremendous benefits such as increased efficiency, reduced costs, improved customer experience, and smarter (real-time, data-driven) decision-making. For CIOs and CTOs looking to drive innovation, agentic AI can accelerate their efforts. To explore how organizations are investing in agentic AI, Cloudera surveyed 1,484 enterprise IT leaders across 14 countries. This report, fielded in February 2025, dives deep into adoption patterns, use cases, and sentiments around AI agents–including industry-specific insights across finance, retail, healthcare, manufacturing, and telecommunications—and looks at how enterprises are using AI agents to level-up their enterprise workflows in 2025.3 Survey Report: The Future of Enterprise AI AgentsAI Agents: Ushering in the Future of Enterprise Technology The last two years have seen an adoption boom of agentic AI. A majority of respondents (57%) started implementing AI agents within the last two years, and 21% did so in the last year alone. This adoption rate reflects how quickly agentic AI has moved from concept to reality, likely catalyzed by advancements in AI technologies between 2023 and 2024.This rapid rate of adoption shows that organizations view agentic AI as essential to their business competitiveness and hope to capitalize on their return on investment (ROI) sooner rather than later. Consequently, expansion plans for agentic AI are nearly