Global AI Maturity Assessment, 2025 Updated Research Available
Amid Growing Awareness, Enterprises Strengthen AI Foundations
06-May-2025
Global
Customer Research
PFUN-01-00-00-00
IT_2025_33476
Artificial intelligence (AI) has the potential to deliver substantial benefits to both economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent delays. Therefore, it is important to analyze organizations’ AI readiness or maturity in terms of technology deployment. To assess AI maturity, Frost & Sullivan has conducted a global survey of IT and business decision-makers responsible for AI purchases across more than 700 organizations. While many organizations realize the value of AI, the successful application of AI technologies to achieve desired business outcomes depends on several factors, which Frost & Sullivan has assessed and analyzed as part of the AI maturity framework. The framework focuses on the following 4 parameters: AI strategy and roadmap articulation; data readiness; regulatory compliance and policy alignment; and stage of technology and deployment.
This report presents the results of the survey. It provides a glimpse of the following: Overall maturity of AI adoption amongst organizations, maturity of AI adoption by industry verticals, and insights on the stages of AI maturity adoption. It also offers technology vendors and service providers a perspective on AI readiness concerning select parameters to assess potential opportunities that will create customer value and help end users understand the level of maturity in the overall landscape.
Author: Kiran Kumar Vijaya Kumar
Research Objectives and Methodology
AI Maturity Framework
Technology Implementation: Scaling Up AI Deployments
Enterprise AI Maturity Remains Low
Key Findings
AI Maturity by Industry
AI Maturity by Dimensions
AI Maturity by Region
Strategy and AI Roadmap Articulation
Building an AI Strategy and Roadmap
Data Readiness
Data Readiness Framework
Technology Implementation
Technology Implementation: Key Industry Use Cases
Technology Implementation
Regulatory Compliance and Policy Alignment
Key Considerations When Designing AI Regulatory Compliance and Policy Measures
Continuous Evolution of the Regulatory Landscape
AI Maturity: Growth Opportunity for the Entire Ecosystem
Key Parameters for a Compelling Value Proposition
Development of End-to-end AI Capabilities
Procurement of AI Solutions from a Diverse Ecosystem
Growth Opportunities Fuel the Growth Pipeline Engine
Why Is It Increasingly Difficult to Grow?
Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
Legal Disclaimer
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