Global AI Maturity Survey 2024
Analysis of AI Technology, Adoption Priorities, and Progress of Enterprises Across Industries
27-Mar-2024
Global
Market Research
PFFE-01-00-00-00
CI_2024_636
$4,950.00
Special Price $3,712.50 save 25 %
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.
Author: Hemangi Sunil Patel
Research Objectives and Methodology
Respondent Profiles
AI Maturity Framework
AI Maturity Framework (continued)
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
AI Maturity by Industry: Key Industry Use Case (continued)
AI Maturity: Dimensions
Strategy and Roadmap Articulation
Strategy and Roadmap Articulation (continued)
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
Strengthening Integration and Data Migration Support Service
Key Role of IT Software Services Vendors in AI Deployments
Key Role of IT Software Services Vendors in AI Deployments (continued)
Building a Compelling Value Proposition
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| Deliverable Type | Market Research |
|---|---|
| Author | Hemangi Patel |
| Industries | Cross Industries |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Ai Adoption Levels Analysis |
| Keyword 2 | Ai Maturity Trends |
| Keyword 3 | Ai Adoption Survey Results |
| Podcast | No |
| WIP Number | PFFE-01-00-00-00 |



