PUBLISHER: Grand View Research | PRODUCT CODE: 2132357
PUBLISHER: Grand View Research | PRODUCT CODE: 2132357
The global agentic AI market size was valued at USD 16.2 billion in 2025 and is projected to grow from USD 22.9 billion in 2026 to USD 224.5 billion by 2033, at a CAGR of 38.6% from 2026 to 2033. North America dominated the market, accounting for the largest revenue share of 34.6% in 2025. The industry is experiencing strong growth due to the rising demand for live video content across entertainment, sports, gaming, enterprise communication, and online education.
Cloud-based streaming platforms, AI-powered video processing, and 5G networks are improving streaming quality, scalability, and reliability. The expansion of the creator economy, live commerce, and virtual events is further driving investments in Agentic AI worldwide. Organizations are increasingly integrating agentic AI into enterprise applications and business processes. Autonomous AI agents enable proactive, multimodal, and cross-functional task execution. These capabilities are improving workflow automation and decision-making across organizations. Enterprises are expanding AI adoption beyond traditional conversational assistants to support digital labor. This growing integration of agentic AI into core business operations is driving the growth of the global industry. For instance, in March 2025, Salesforce, Inc., a U.S.-based software company, launched Agentforce 2dx, introducing proactive autonomous AI agents that can execute tasks across enterprise workflows, together with AgentExchange, a marketplace for deploying pre-built AI agents and integrations.
Organizations are increasingly adopting multi-agent development platforms to build, orchestrate, and deploy autonomous AI applications. These platforms enable multiple AI agents to collaborate, share information, and execute complex tasks across enterprise workflows. Open frameworks with integrated tool support, multimodal capabilities, and orchestration features are simplifying the development and deployment of agentic AI solutions. Enterprises are leveraging these platforms to improve scalability, interoperability, and operational efficiency. The growing adoption of multi-agent development platforms is contributing to the expansion of the industry. For instance, in April 2025, Google Cloud launched the Agent Development Kit (ADK), an open-source framework for building, orchestrating, evaluating, and deploying multi-agent AI applications. The platform supports modular agents, tool integration, multimodal capabilities, and deployment across enterprise environments, accelerating the adoption of agentic AI solutions.
Organizations are increasingly adopting open frameworks that support multiple AI models, external tools, and APIs. These frameworks enable seamless integration of agentic AI with existing enterprise applications and workflows. Interoperability allows organizations to combine foundation models, orchestration platforms, and third-party services within a unified environment. Open ecosystems reduce vendor lock-in and provide greater flexibility for developing and deploying AI solutions. Enterprises are leveraging standardized APIs and modular architectures to accelerate innovation and simplify implementation. This approach improves scalability, collaboration, and compatibility across diverse AI systems and business applications. The growing availability of open and interoperable AI ecosystems is encouraging wider enterprise adoption of agentic AI technologies. As organizations continue to prioritize flexible and integrated AI infrastructures.
Global Agentic AI Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global agentic AI market report based on component, application, end use and region.