Highlights and Growth Opportunities from a 2024, Frost & Sullivan Survey of IT and Business Decision-Makers
26-May-2025
Global
Customer Research
PFTV-01-00-00-00
IT_2025_33513
Enterprise awareness and adoption of artificial intelligence (AI) have accelerated significantly worldwide. Advances in AI technologies, combined with increased accessibility, are enabling businesses to integrate AI seamlessly into their operations. Nearly 90% of IT and business decision-makers recognize AI and machine learning as critical to achieving their business objectives. AI deployments are expanding across all business functions, moving beyond isolated use cases to enterprise-wide implementation. Organizations are increasingly leveraging AI as a strategic enabler, ensuring its integration aligns with broader business objectives and drives cohesive digital transformation.
In this study, Frost & Sullivan presents the survey's key findings 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).
Author: Kiran Kumar Vijaya Kumar
Research Objectives and Methodology
Respondent Profile, AI: 2024
Key Findings
Enterprises Recognize the Importance of AI/ML in Achieving Business Priorities
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 Key Industry Verticals
Emerging Use Cases
NLP Remains the Foundation of All AI Technologies
Predictive Analytics Leads AI Application Use Cases, Followed by Increasing Use of Virtual Agents/Conversational Interfaces
Align to Transforming the Technology Landscape
Hybrid Cloud is the Preferred Digital Infrastructure Model for AI Deployments, Though On-Premises Deployments Have Seen a Rise
Data Privacy Concerns and Ability to Assess ROI Continue to Challenge AI Adoption
The Regulatory Landscape Continues to Evolve
Key Success Factors and Future Directions
Build a Compelling Value Proposition
Strengthen IT Services and Advisory Capabilities
Focus on Business Stakeholders
Align to Transforming the Technology Landscape
Growth Opportunities Fuel the Growth Pipeline Engine
Why Is It Increasingly Difficult to Grow?
The Strategic Imperative 8
Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
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In this study, Frost & Sullivan presents the survey's key findings 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).
Author: Kiran Kumar Vijaya Kumar
| Deliverable Type | Customer Research |
|---|---|
| Industries | Information Technology |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Global AI report 2025 |
| Keyword 2 | AI market trends |
| Keyword 3 | Enterprise AI adoption |
| Podcast | No |
| Predecessor | PFDF-01-00-00-00 |
| WIP Number | PFTV-01-00-00-00 |
Global State of AI, 2025
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