Global AI Maturity Survey 2024

Cross Industries Global AI Maturity Survey 2024 Updated Research Available

Analysis of AI Technology, Adoption Priorities, and Progress of Enterprises Across Industries

INDUSTRY
Macroeconomics

RELEASE DATE
27-Mar-2024
REGION
Global
DELIVERABLE TYPE
Market Research

RESEARCH CODE
PFFE-01-00-00-00
SKU
CI_2024_636
Yes
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Global AI Maturity Survey 2024
Published on: 27-Mar-2024 | SKU: CI_2024_636

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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

Growth Opportunities Fuel the Growth Pipeline Engine™

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

List of Exhibits

Legal Disclaimer


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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
More Information
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