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A comprehensive overview of Agentic AI, defining it as the evolution of artificial intelligence towards autonomous systems capable of independent action, decision-making, and goal pursuit without constant human oversight. We describe the core principles of Agentic AI, including autonomy, adaptability, goal orientation, reasoning, and interaction, and differentiate it from traditional and generative AI. We explore the technical architecture underlying Agentic Systems, highlighting key components like perception, reasoning, and learning, and enabling technologies such as LLMs, Reinforcement Learning, and autonomous tool use. Furthermore, we showcase the transformative impact of Agentic AI across various industries like healthcare, finance, and manufacturing, while we also address the significant challenges and risks associated with its development and deployment, including technical hurdles, ethical concerns regarding bias and accountability, and potential security vulnerabilities. Finally, we examine the future trajectory of Agentic AI, presenting market projections and discussing the evolving capabilities and societal implications of this emerging technology, emphasizing the need for responsible governance and human-centric design.