AI in 2025: Global Trends and Enterprise Reality
What the Latest Data Reveals About Adoption Drivers and Challenges, Trends, and Strategic Enablers
19-Jan-2026
Global
Customer Research
KC49-01-00-00-00
IT_2026_34288
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.
Authored by: Karyn Price
Research Objectives and Methodology
Respondent Profile, AI: 2025
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
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
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
Growth Opportunities Fuel the Growth Pipeline Engine™
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
Legal Disclaimer
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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.
Authored by: Karyn Price
| Deliverable Type | Customer Research |
|---|---|
| Industries | Information Technology |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | enterprise ai market trends |
| Keyword 2 | ai adoption strategies |
| Keyword 3 | enterprise ai solutions |
| Podcast | No |
| Predecessor | PFTV-01-00-00-00 |
| WIP Number | KC49-01-00-00-00 |