Global State of AI, 2024

Global State of AI, 2024


Highlights and Growth Opportunities from a 2023 Frost & Sullivan Survey of IT and Business Decision Makers

About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respondents believe generative AI will be disruptive for enterprises.

In this study, Frost & Sullivan presents the key findings of the survey about the state of adoption of AI. Respondents were drawn from senior IT decision makers across multiple verticals including financial services, healthcare, retail, government, technology, and manufacturing. The major themes explored in the survey include the current state of AI deployment, key organizational goals of AI implementation, the demand for specific
AI-related technologies, and the main AI deployment models. The analysis also gives readers an understanding of the prominent AI-related technologies that enterprises are adopting.

Frost & Sullivan separately interviewed technology vendors and service providers to obtain a view about AI priorities to help end users understand the benefits and challenges of AI (as cited by peers).


  • Research Objectives and Methodology
    • Respondent Profile
  • State of AI
    • Key Findings
    • Enterprises Recognize the Importance of AI/ML in Achieving Business Priorities
    • Enterprise AI Deployments Move Beyond Proof-of-Concept Stage
    • Enterprise AI Deployments Moving to Implementation Phase
    • Improving Operational Efficiency is a Key Driver for AI Investments
    • AI Deployments Continue to Witness Similar Adoption Across Business Functions
    • AI Deployments Increase Across Industry Verticals
    • Emerging Use Cases
    • NLP is Becoming the Foundation of All AI Technologies
    • Predictive Analytics Leads AI Application Use Cases
    • Hybrid Cloud is the Preferred Digital Infrastructure Model for AI Deployments
    • Data Concerns and Ability to Assess ROI Continue to Challenge AI Adoption
    • The Regulatory Landscape Continues to Evolve
  • Growth Success Factors
    • Success Factors and the Way Forward
    • Build a Compelling Value Proposition
    • Strengthen IT Services and Advisory Capabilities
    • Focus on CXO and Business Stakeholders
    • Align to Transforming the Technology Landscape
  • Appendix
    • Growth Opportunities Fuel the Growth Pipeline Engine
    • Why is it Increasingly Difficult to Grow?
    • The Strategic Imperative 8

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