Artificial Intelligence Market Study and Survey 2024: Predictive Analytics Leads AI Application Use Cases
DUBLIN, March 20, 2024 /PRNewswire/ -- The "Global State of AI, 2024" report has been added to ResearchAndMarkets.com's offering.
About 89% of IT and business decision makers that were 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.
This study 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.
The research team 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).
Key Topics Covered:
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 the 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
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