The average Enterprise AI Maturity Index score for Singapore was 34, down from 45 last year. Singapore findings Enterprise AI Maturity Index 2025 90% of those currently using agentic AI have increased gross margin, compared to 63% who are not using it. 2024 2025 Global 9 pts 44/100 35/100 Singapore 11 pts 45 34 AI is outpacing organisations' capacity to harness it Early Agentic AI adopters cash in The state of enterprise AI maturity YoY index score change And most don’t have strong consensus on what success looks like, or how to achieve it strongly agree that their departments have aligned on a clearly defined AI strategy across their organisation 29% strongly agree that they have a defined set of metrics to measure the impact of AI transformation 30% Leaders are cooling off their AI enthusiasm In 2025, Singaporean enterprise leaders are spending an average of of their tech budgets on AI, © 2025 ServiceNow. All rights reserved. 3411pts To measure the current state of AI maturity in the enterprise, ServiceNow surveyed 4,473 senior leaders worldwide, including 225 from Singapore. We developed a proprietary indexing model to identify how leading organisations are putting AI to work effectively. 4,473 225 SINGAPORE SENIOR LEADERS SURVEYED 16 11 Senior Leaders Countries Industries Siloed data and teams make the governance deficit worse have not made significant progress connecting data and operational silos Risk and governance are curbing AI’s potential Organisations are struggling to turn AI into business results as they grapple with governance and data security 29% 44% have made significant progress formalising data governance and compliance (-6% YoY) Only 56% saw no positive impact from AI on their gross margins last year 11.5% down from 15.5% last year Singapore findings Enterprise AI Maturity Index 2025 225 SINGAPORE SENIOR LEADERS SURVEYED Talent gaps are holding back AI transformation Singaporean enterprises need new skills to win on AI but often lack the foundations to acquire or develop them Employees are growing fearful of job displacement due to AI – further complicating talent strategies unless leaders address concerns head-on. Only 31% say they have the right mix of skills and talent to successfully execute their AI strategy. 31% 69% strongly or somewhat agree they are still in the process of identifying the AI skills they need. 69% 54% say employees are raising concerns about job insecurity as a result of GenAI to a great extent. 54% Global findings Discover AI leading practices, expert insights, and more at servicenow.com/ai-maturity-index-2025 © 2025 ServiceNow. All rights reserved. Enterprise AI Maturity Index 2025 Pacesetters lead the way – 5 steps to success: To identify enterprise AI best practices, we examined top scoring organisations – we call them Pacesetters – who are outperforming others. 57% of global Pacesetters have increased efficiency and productivity, vs. 30% of others Set a leadership strategy 56% strongly agree they have a clear, shared AI vision, vs. 30% of others Adopt a platform approach to innovation 66% employ a platform approach, vs. 46% of others Focus on talent 50% strongly agree they have the right talent mix, vs. 29% of others Move the needle on governance 72% have made significant progress assessing potential AI applications and understanding data requirements, vs. 48% of others Embrace the power of Agentic AI 36% are currently using Agentic AI, vs. 19% of others 01 02 03 04 05