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Global AI Megatrends, 2025

Publisher Frost & Sullivan
Published Jun 24, 2025
SKU # MC20146673

Description

AI has moved from being a standalone technology to a core building block that drives global business growth. Advancements in key AI technologies are happening at an exponential pace, constantly unlocking new capabilities and applications. AI adoption is becoming critical for global businesses to stay competitive and relevant. The rising adoption among businesses is primarily led by improved efficiency and productivity, and the need to gain a competitive edge.

The rise of agentic AI presents technology vendors and service providers with new, high-value opportunities as enterprises seek to deploy autonomous AI solutions that go beyond traditional automation. Unlike past AI deployments, which were focused on content generation, analytics, and predictive intelligence, agentic AI is proactive, adaptive, and capable of decision-making, creating a wave of demand for specialized services.

This study explores top megatrends currently shaping the AI ecosystem globally and highlights how AI ecosystem stakeholders can differentiate themselves by strengthening agentic AI and generative AI offerings, aligning with sovereign AI developments, and developing end-to-end AI capabilities. The study underscores the importance of developing secure AI solutions and adopting responsible AI practices to address ethical, environmental, and social considerations, ensuring sustainable growth. The study also identifies actionable growth opportunities, providing a roadmap for AI ecosystem stakeholders to capitalize on some of the evolving market demands.

Table of Contents

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
AI Evolution
AI—A Technology Priority for Global Enterprises
Growth Drivers
Growth Restraints
Emerging AI Market Megatrends
What is Agentic AI?
From Process Automation to Autonomous Intelligence
Key Characteristics of Agentic AI
Task-specific AI Agents—Agentic AI Deployments Across Key Industry Sectors
Task-specific AI Agents—Agentic AI Deployments Across Other Sectors
Agentic AI Across Key Business Functions: Emerging Use Cases
Multi-AI Agents—Understanding Different Approaches
Agentic AI—Key Ecosystem Initiatives
Evolving Frontier—Chain-of-Thought Reasoning
The GenAI Disruption
Different Models Serving Different Needs
The GenAI Ecosystem—Key Stakeholders
SLMs Pave the Way for GenAI Democratization
LLM Parallelization Gains Ground
Integration with Enterprise Applications Evolves Quickly
Sovereign AI—Definition and Key Drivers
Building Sovereign AI—4 Key Pillars
Building Sovereign AI—Explained
Sovereign AI—Key Stakeholders
Governments Investing Heavily in Developing Their Own AI Technologies and Infrastructure
AI Vendors Play a Crucial Role in Shaping Sovereign AI Strategies
Role of Research and Academia
Role of Industry Consortia
Evolving Threat Landscape as AI Models Become Complex and Accessible
Data Concerns and Ability to Assess ROI Continue to Challenge AI Adoption
Existing Technologies and Techniques for Threat Mitigation
Emerging Trust and Safety Use Cases
Trust and Safety Must Be at the Core of AI Scaling
Unclear Regulations Remain a Serious Challenge for AI Deployments
AI Compliance Still in its Early Stages
Why are Regulations Important?
The Regulatory Landscape Continues to Evolve
Key Emerging Themes in Global AI Regulations
AI Regulations—Distinct Roles for Stakeholders in the AI Ecosystem
Growth Opportunity Universe
Growth Opportunity 1: Global AI Services
Appendix & Next Steps
Benefits and Impacts of Growth Opportunities
Next Steps
List of Exhibits
Legal Disclaimer

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