State of Enterprise AI 2025
Our comprehensive survey of 500+ executives reveals the key challenges, success factors, and ROI benchmarks for AI adoption across 15 industries and 40 countries.
Source: EvoxisAI Research, 2025 | 135 pages
Key Findings
73%
of enterprises have AI in production
Up from 47% in 2023, showing rapid acceleration of AI adoption across industries.
3.2x
average ROI for mature AI programs
Organizations with 3+ years of AI investment see significantly higher returns.
68%
cite talent as top barrier
Finding and retaining AI talent remains the primary challenge for most organizations.
85%
plan to increase AI investment
Despite economic uncertainty, AI budgets continue to grow year over year.
The definitive guide to enterprise AI in 2025
Now in its fifth year, the State of Enterprise AI report provides a comprehensive view of how organizations are adopting, scaling, and realizing value from artificial intelligence.
Based on surveys of 500+ C-suite executives and senior technology leaders, combined with in-depth interviews and analysis, this report offers actionable insights for leaders at every stage of their AI journey.
This year's report includes special sections on generative AI adoption, responsible AI practices, and industry-specific benchmarks based on the Gartner AI Maturity Model.
Methodology
Online survey conducted Q3 2025 with 512 respondents from companies with $500M+ revenue. Supplemented with 25 executive interviews. Statistical significance at 95% confidence level.
Report Contents
- 1Executive Summarypp. 1-8
- 2Methodology & Demographicspp. 9-15
- 3AI Adoption Landscapepp. 16-32
- 4ROI & Business Impactpp. 33-48
- 5Challenges & Barrierspp. 49-62
- 6Technology & Architecturepp. 63-78
- 7Organizational Readinesspp. 79-92
- 8Industry Deep Divespp. 93-120
- 9Future Outlook & Recommendationspp. 121-135
What sets high-performers apart
Organizations achieving 3x+ ROI from AI share six common characteristics. These success factors emerged consistently across industries and geographies.
- Executive sponsorship and clear AI vision
- Dedicated AI center of excellence
- Strong data foundation and governance
- Agile implementation methodology
- Focus on change management and adoption
- Robust MLOps and monitoring practices
“The gap between AI leaders and laggards is widening. Organizations that treat AI as a strategic capability rather than a technology project are seeing dramatically better results.”
Dr. Sarah Chen
Chief Research Officer, EvoxisAI
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135 pages of insights, benchmarks, and recommendations to accelerate your AI journey.
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