According to a new report by UnivDatos, the Agentic AI Market is expected to reach around USD 112.42 Billion in 2032 by growing at a CAGR of 39.4%. Agentic AI runs independently using advanced decision-making tools and learning methods to perform operations and update itself. This technology marks a major development in AI systems since it lets them act independently on their insights instead of just doing data processing. Agentic AI systems consist of autonomous programs that learn and enact determined tasks automatically while following predefined objectives to run entire workflow procedures at full scale.

Demand

The business world sees great opportunities for agentic AI to work in different sectors from cars to factories and finance to healthcare. Agentic AI must be present to help autonomous vehicles make instant choices and improve vehicle fleet performance. By monitoring manufacturing activities, agentic AI helps the business save resources and find equipment faults to run production better. Financial companies apply agentic AI to manage risks plus create unique financial plans, whereas healthcare facilities use the technology to improve patient-specific medical treatments.

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Cost

The exact price of making AI agents for agentic AI systems depends on the number of tasks they perform and how sophisticated they need to be. A new agentic AI system will require between $20,000 and $60,000 of development expenses due to AI updates and maintenance in 2025. Organizations save money through their purchase of pre-trained AI models and cloud hosting services.

Agentic AI brings useful results to businesses of all sectors.

·       Self-learning AI technology supports car fleets by guiding vehicles on the road and making instant decisions for their navigation.

·       It operates production more efficiently while finding machine problems and managing how resources are used.

·       Agentic AI systems assist financial businesses in evaluating market risks and sorting data for financial plans customized to everyone.

·       Technology assists doctors in creating personal treatment methods that improve patient recovery.

·       When security problems emerge, Agentic AI recognizes them and automatically responds to protective systems.

·       The system adjusts promotional ads according to what each user likes to see and do online.

Recent Developments/Awareness Programs: - Several key players and governments are rapidly adopting strategic alliances, such as partnerships, or awareness programs: -

·       In January 2025, Kore.ai, a global leader in enterprise AI, announced AI for Process, a no-code platform that fundamentally transforms how enterprises automate and optimize knowledge-intensive operations. AI for Process empowers enterprises to rapidly build, deploy, and manage custom AI agents or Agentic Apps at scales that can understand context, make complex decisions, and orchestrate sophisticated Agentic workflows.

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·       In January 2025, Accenture launched AI Refinery for Industry with a collection of 12 industry agent solutions to help organizations rapidly build and deploy a network of AI agents that can enhance their workforce, address industry-specific challenges, and drive business value faster.

·       In January 2025, AI-focused business transformation technology provider ServiceNow unveiled a major expansion of its global partner program with an eye on making it easier for its channel partner community to take better advantage of AI.

Conclusion

The agentic AI market worldwide will experience market expansion because it can manage complex processes automatically and help businesses make better decisions while running operations more effectively. Agentic AI platforms will keep transforming how companies operate their business and serve their customers since technology keeps improving. Benefit from agentic AI systems in organizations, need to tackle safety and ethical protection issues related to cybercrime. Agentic AI development will transform business operations and environmental relations during the next years because of its large market potential.

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