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AI has come a long way in making work smarter, but not quite autonomous. Most enterprise systems today can predict, summarize, and recommend. Yet they still wait for a human to push things forward. They don’t plan, adapt, or act on their own. The result? Workflows that are intelligent, but not independent.
That’s the gap Agentic AI steps in to close. It moves AI from doing tasks to pursuing goals. Think of it as systems that can reason, plan, and execute, across dynamic environments, without constant human supervision. Agentic AI brings together existing technologies like Generative AI (GenAI), Robotic Process Automation (RPA), and Analytics into a coordinated whole, so actions don’t stop where algorithms end.
And the momentum is real. The Agentic AI market is already valued at USD 12–15 Bn, growing at 40–45% CAGR, and expected to reach USD 80–100 Bn by 2030. Enterprises across industries are realizing that the next edge isn’t just about efficiency, it’s about giving systems the agency to act.
There’s a lot of noise around Agentic AI right now, from developer frameworks to autonomous agents promising to “run your business.” But very little clarity on what’s real, what’s scalable, and what it means for enterprises.
We built this report to cut through that noise. To define Agentic AI in practical terms, assess where the ecosystem truly stands today, and identify what will separate the leaders from the rest as autonomy becomes the next enterprise differentiator.
This report explores the evolution from automation to autonomy, and what that means for every player in the tech ecosystem. Inside, you’ll find:
This report is our attempt to make sense of that shift and spark conversations around how autonomy will reshape enterprise value in the years ahead. Download the Report now.
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