2025년 AI : 세계 트렌드와 기업의 현주소

What the Latest Data Reveals About Adoption Drivers and Challenges, Trends, and Strategic Enablers

The artificial intelligence (AI) landscape is undergoing rapid transformation, with enterprises worldwide navigating a complex journey from experimentation to operationalization. The Global State of AI 2025 report delivers a timely, in-depth exploration of how organizations are adopting, deploying, and scaling AI technologies to drive business value and competitive advantage. Drawing on fresh global survey data and expert analysis, the report uncovers the evolving priorities, strategies, and challenges that define today's AI reality.

This study examines the full spectrum of AI adoption, from foundational technologies to advanced agentic AI, highlighting the drivers that motivate investment and the barriers that slow progress. It provides a nuanced look at how organizations prioritize use cases, select deployment models, and balance innovation with risk management. Special attention is given to the emergence of agentic AI, with insights into enterprise readiness, anticipated impact, and the organizational shifts required to move from isolated pilots to enterprise-wide transformation.

The report also investigates the critical role of infrastructure, regulatory developments, and procurement trends, revealing how enterprises are leveraging both established vendors and emerging innovators. It explores the importance of trust, quality, and ease of implementation in vendor selection, and analyzes how organizations are responding to new compliance demands and evolving governance frameworks.

By synthesizing quantitative findings with strategic perspectives, Global State of AI 2025 equips technology leaders, business executives, and policymakers with actionable intelligence to inform decision-making. Readers will gain a clear understanding of where the market stands, what is driving change, and how to position for success in an environment defined by accelerating innovation and increasing complexity.

Table of Contents

Research Objectives and Methodology

• Research Objectives and Methodology
• Respondent Profile, AI: 2025

AI Adoption Trends, Drivers, and Deployment Realities

• Key Findings
• AI Technologies Adoption Remains Stable
• Improving Operational Efficiency is a Key Driver for AI Investments
• AI Deployments are Prioritized in Core Operational Areas
• AI Deployments Increase Across Key Industry Verticals
• Primary and Emerging AI Use Cases by Vertical Industry
• Speech-Based Technology is the Top Investment Priority for Enterprises
• Predictive Analytics and Emotion Recognition Lead AI Application Use Cases
• Hybrid Cloud is the Preferred Digital Infrastructure Model for AI Deployments
• Regulatory Uncertainty, ROI, and Talent are the Top Barriers to AI Implementation
• Emerging AI Regulations by Key Regions

Agentic AI

• Align to Transform the Technology Landscape
• Agentic AI Adoption Still in Early Stages
• How Enterprises Plan to Deploy Agentic AI
• Key Obstacles to Scaling Agentic AI

Strategic Enablers of AI Adoption

• Procurement Trends Show a Mix of Established Vendors and Emerging Innovators
• Procurement Trends Show a Mix of Buy vs Build
• Enterprises Prioritize Quality and Trust in AI Adoption

Appendix

• Growth Opportunities Fuel the Growth Pipeline Engine(TM)
• Why is it Increasingly Difficult to Grow?
• The Strategic Imperative 8(TM)

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• List of Exhibits
• Legal Disclaimer