
Agentic AI: Emerging Trends and Opportunities
Description
Agentic AI is redefining the enterprise AI landscape by moving beyond traditional and generative models toward autonomous systems that can reason, plan, and act across complex workflows. Enterprises are increasingly moving from experimentation to production-grade AI deployments, embedding agents within workflows, customer journeys, and IT operations. This report explores key trends such as task-specific AI agents, multi-agent collaboration, enterprise integration approaches, and trust & safety frameworks, driving real-world adoption.
Vendors like UiPath, Zoho, Microsoft, and ServiceNow are enabling agent deployments across ITSM, customer support, finance, and HR. Enterprises are increasingly integrating these agents into production environments, leveraging APIs, orchestration layers, and hybrid strategies for scalability and control.
As the agent economy matures, stakeholders who invest early in lifecycle orchestration, trust frameworks, and embedded integration will gain a competitive advantage. This report offers strategic insights and real-world use cases to help business leaders lead in the Agentic AI era.
Vendors like UiPath, Zoho, Microsoft, and ServiceNow are enabling agent deployments across ITSM, customer support, finance, and HR. Enterprises are increasingly integrating these agents into production environments, leveraging APIs, orchestration layers, and hybrid strategies for scalability and control.
As the agent economy matures, stakeholders who invest early in lifecycle orchestration, trust frameworks, and embedded integration will gain a competitive advantage. This report offers strategic insights and real-world use cases to help business leaders lead in the Agentic AI era.
Table of Contents
- Agenda
- Strategic Imperatives
- Why is it Increasingly Difficult to Grow?
- The Strategic Imperative 8™
- The Impact of the Top 3 Strategic Imperatives on the Agentic AI Industry
- Growth Opportunity Analysis
- Glossary
- With AI, the Only Constant Is ‘Change’
- AI: A Technology Priority for Global Enterprises
- Evolution of AI Systems: Traditional vs Generative vs Agentic
- What is Agentic AI?
- Key Characteristics of Agentic AI
- Growth Drivers
- Growth Restraints
- Agentic AI Tech Stack
- Agentic AI Tech Stack—Explained
- Emerging Agentic AI Trends
- Task-Specific AI Agents: An Introduction
- Task-Specific AI Agents: Emerging Use Cases
- Task-Specific AI Agents: Agentic AI Deployments Across Key Industry Sectors
- Task-Specific AI Agents: Agentic AI Deployments Across Other Sectors
- Key Examples of Agentic AI Deployments
- Emergence of Multi-AI Agent Collaboration Systems
- Multi-AI Agents: Understanding Different Approaches
- Emergence of Multi-AI Agent Collaboration Systems: Key Vendor Ecosystem
- Enterprise Integration of Agentic AI
- Trust and Safety: Data Concerns and Ability to Assess ROI Continue to Challenge AI Adoption
- Trust and Safety: Agentic AI Introduces a New Category of Risks, Going Beyond Traditional IT Security Threats
- Trust and Safety: Recommended Approaches for Threat Mitigation
- Emerging Business Model: Outcome-Based Agent-as-a-Service
- Companies to Action
- Key Companies to Action: Microsoft
- Key Companies to Action: ServiceNow
- Key Companies to Action: Zoho
- Key Companies to Action: UiPath
- Growth Opportunity Universe
- Growth Opportunity 1: Agentic AI Services
- Appendix & Next Steps
- Benefits and Impacts of Growth Opportunities
- Next Steps
- List of Exhibits
- Legal Disclaimer
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