Global AI Maturity Survey 2024
Analysis of AI Technology, Adoption Priorities, and Progress of Enterprises Across Industries
AI holds the potential to deliver significant benefits for economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, failure to implement an AI enterprise-wide strategy and roadmap can impede faster technology deployment. Therefore, it is important to analyze organizations’ readiness or maturity as it relates to technology deployment.
Frost & Sullivan has developed a 4-stage AI maturity framework that considers AI strategy and roadmap articulation; data readiness; regulatory compliance and policy alignment; and stage of technology and deployment. To assess AI maturity, Frost & Sullivan conducted a global survey with close to 700 organizations (i.e., IT and business decision-makers responsible for AI purchases) and analyzed their maturity levels. The results provide 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 with regard to select parameters to assess potential opportunities that will create customer value and help end users understand the level of maturity in the overall landscape.
- Research Objectives and Methodology
- Respondent Profiles
- AI Maturity Framework
- Although AI Technology Adoption has Increased Overall, Enterprise Maturity Remains Low
- Key Findings
- AI Maturity by Industry
- AI Maturity by Industry: Key Industry Use Case
- Global AI Maturity Analysis
- AI Maturity: Dimensions
- Strategy and Roadmap Articulation
- Building an AI Strategy and Roadmap
- Data Readiness
- Data Readiness Framework
- Regulatory Compliance and Policy Alignment
- Key Considerations When Designing AI Regulatory Compliance and Policy Measures
- Technology Implementation
- Technology Implementation: Scaling Up AI Deployments
- The Way Forward
- Strengthening Integration and Data Migration Support Service
- Key Role of IT Software Services Vendors in AI Deployments
- Building a Compelling Value Proposition
- Appendix
- Growth Opportunities Fuel the Growth Pipeline Engine
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8
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