Global AI Maturity Assessment, 2025

Information Technology Global AI Maturity Assessment, 2025 Updated Research Available

Amid Growing Awareness, Enterprises Strengthen AI Foundations


RELEASE DATE
06-May-2025
REGION
Global
DELIVERABLE TYPE
Customer Research

RESEARCH CODE
PFUN-01-00-00-00
SKU
IT_2025_33476
Yes
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Global AI Maturity Assessment, 2025
Published on: 06-May-2025 | SKU: IT_2025_33476

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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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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
More Information
Deliverable Type Customer Research
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 AI Readiness Report
Keyword 2 AI Maturity Framework
Keyword 3 AI Adoption Trends
Podcast No
Predecessor PFFE-01-00-00-00
WIP Number PFUN-01-00-00-00