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Agentic AI is an independent artificial intelligence system that autonomously makes smart decisions to achieve goals with minimal human oversight.
The use of multiple AI agents that emulate human decision-making will also enhance efficiency, accuracy, and scalability in various work-related tasks, leading to even greater innovations in business productivity across multiple sectors of the economy.
Analytics Insight provides an overview of the current and future market for Agentic AI, key players, and innovations reshaping global technology infrastructure.
Agentic AI is built to achieve defined goals with little or no human oversight. This includes individual AI agents and machine learning models that imitate human decision-making to solve problems in real-time. In an agent-based approach, each model performs a specific sub-task, and multi-agent behavior is generated through AI orchestration.
The agentic AI global market is currently valued at $7.91 billion and is projected to reach $243.15 billion by 2035, growing at a compound annual growth rate (CAGR) of 40.85%. Its growth is driven by increasing demand for automation, advances in Natural Language Processing (NLP), and demand for a personalized customer experience.
According to a Capgemini survey, more than 60% of organizations are aware of the promise of agentic AI, and 93% of those who successfully scale it by 2026 believe it will give them a competitive edge. This illustrates the importance of AI agents in driving market leadership.
Here is the table of revenue by year:
North America maintains its position as the leading agentic AI market due to its robust cloud infrastructure, stringent regulations, and substantial investment in technology.
The US is a frontrunner in adopting technology across many sectors, especially healthcare and the BFSI sector, supported by the government and a vibrant start-up community.
Asia Pacific is the region with the greatest growth opportunities attributed to automation, robotics, and smart cities.
Europe will continue to show growth, but will be heavily regulated by AI, while the Middle East and Africa will develop into markets based on public services and infrastructure automation.
Agentic AI Market Segment Analysis
The agentic AI market is rapidly evolving, with diverse components, deployment models, technologies, and industry applications shaping its growth trajectory.
The component segment of agentic AI is divided into software and hardware. Software leads as the intelligent core of autonomous systems, with a 65% market share, representing the core product value.
Whereas, hardware delivers the essential computational infrastructure that supports these advanced high-end solutions. The faster-growing segment is driven by implementation and support.
Agentic AI deployments span both cloud and on-premises environments. Cloud deployment offers advantages in scalability and flexibility, representing a modern, scalable segment expected to drive future growth.
On the other hand, on-premises deployments currently account for 35% of the market, maintaining a significant share due to stringent data security requirements, particularly in sectors like healthcare.
In PwC’s May 2025 survey of 300 senior executives, 88% plan to increase AI budgets within the next 12 months, while 79% agree on adopting the technology. 66% of the participants said that they might see measurable productivity gains from AI agents.
Machine learning forms the core of agentic AI, enabling adaptive, data-driven decision-making across a wide range of functions. While it remains the dominant technology in the space, deep learning is rapidly emerging, advancing complex capabilities like natural language understanding and computer vision with greater accuracy and reasoning.
Natural Language Processing (NLP) and Large Language Models (LLMs) are key growth drivers, enhancing automation, contextual understanding, and human-like interaction, crucial for developing intelligent, responsive AI agents across diverse use cases.
Large organizations are leading the adoption of agentic AI, holding approximately 65% of the market share. With strong resources and infrastructure, they are often early adopters of emerging technologies.
In contrast, small and medium enterprises (SMEs) represent the fastest-growing segment. Their growth is fueled by the availability of cloud-based tools and low-code platforms, which lower the entry barrier and enable quicker, more agile AI integration across business operations.
Agentic AI is being adopted across various end-user industries, including healthcare, BFSI, IT and telecom, manufacturing, government, automotive, retail, and e-commerce. Among these, the BFSI sector leads, accounting for approximately 20% of the market, driven by applications in fraud detection, risk management, and regulatory compliance.
Healthcare and automotive follow closely, showing strong adoption in areas such as diagnostic support, patient engagement, autonomous manufacturing, and advanced driving systems, signaling their growing role in AI-driven innovation.
The Agentic AI market has become a fiercely competitive space, with tech giants racing to control the entire ecosystem. Cloud providers (AWS, Microsoft, Google) offer scalable platforms, while software leaders (Salesforce, ServiceNow) embed specialized agents. Innovation, on the other hand, is driven by OpenAI and NVIDIA as they provide the essential models and hardware that power the entire industry.
Microsoft is a global leader in technology, offering software, hardware, cloud services, and AI solutions. The company integrates agentic AI technology in Azure AI and Copilot to create autonomous workflows and support enterprise clients in improving productivity across multi-industry applications.
Amazon Web Services, Inc. (AWS), leverages its leading cloud infrastructure to provide a scalable foundation for developing and deploying powerful autonomous AI agents and generative AI applications that support a diverse array of industries with robust and flexible solutions.
Google LLC (Alphabet Inc.), with its Gemini models and Vertex AI platform, delivers advanced reasoning and enhanced search capabilities to power next-generation autonomous AI agents across industries.
IBM Corporation is a leader in enterprise AI, leveraging Watson with trusted, scalable agents to automate complex business processes, ensure regulatory compliance, and perform advanced data analysis, enabling organizations to improve efficiency and decision-making.
Salesforce, Inc. is at the forefront of customer relationship management with AI agents, with the promise of Einstein AI, automating key workflows related to sales, service, and marketing within the CRM platform to improve efficiency and provide personalized customer engagement.
OpenAI develops foundational AI models, with GPT-4 forming an ecosystem of autonomous agents developed by companies and developers around the world that power complex applications and use cases.
Oracle Corporation integrates autonomous capabilities into its cloud infrastructure and enterprise software, focusing on database management and supply chain automation to enhance efficiency, security, and operational excellence for businesses worldwide.
NVIDIA Corporation builds essential hardware and software, including GPUs and the AI Enterprise suite, that accelerate the development, training, and deployment of advanced agentic AI systems across diverse industries globally.
ServiceNow specializes in enterprise service management. The company uses the ServiceNow AI Platform to develop autonomous agents that optimize and automate IT, customer, and employee workflows, increasing operational efficiency and productivity.
Meta Platforms advances AI through open-source research and models, such as Llama, promoting the broad development of agentic AI applications and innovative metaverse technologies across industries.
Trends of Agentic AI in 2025
Self-managing AI agents have experienced a dramatic shift from reactive automation to being proactive, autonomous systems that independently resolve tasks across industries. This leap allows for smarter decisions and operational efficiencies.
Agentic AI can handle customer support by detecting and resolving issues before customers take action. For example, Amazon’s AI agents handle inquiries and refunds, reducing costs and improving resolution speed without human input.
In May 2025, TCS revealed the latest version of TCS MasterCraft™, now powered by GenAI and Agentic AI. This upgrade automates legacy application modernization, cutting costs by over 70% and delivering results twice as fast as traditional methods.
Agentic AI constantly monitors logistics and reroutes shipments to prevent delays. DHL uses high-tech systems to adjust deliveries in response to the current situation, eliminating inefficiencies and enhancing supply chains to be faster and more flexible.
Agentic AI can instantly detect and block fraudulent transactions. JPMorgan utilizes AI to monitor credit card activity, significantly reducing financial losses by blocking fraud before it requires manual review.
Autonomous virtual assistants can handle triage, treatment recommendations, and appointment scheduling. Mayo Clinic's health assistants help reduce wait times and improve diagnostic precision by enabling care decisions to be initiated in real time based on patient data.
For example, in August 2025, Wipro Limited and Google Cloud completed a generative AI project that successfully deployed 200 proof-of-concept, production-ready AI agents across healthcare, banking, insurance, retail, manufacturing, and IT, improving collaboration and accelerating the enterprise adoption of advanced AI solutions.
Agentic AI streamlines reporting, identifies anomalies, and autonomously executes strategies. Google's AI analytics tools enable real-time decision-making, proactively optimizing business operations and strategy. According to a July 2024 Capgemini report, 82% of companies plan to adopt AI agents within one to three years to boost automation.
The tech companies advanced agentic AI with innovations that streamline workflows, integration, automation, and collaboration.
In July 2025, OpenAI released ChatGPT Agent, combining the Operator Suite and Deep Research features into a single system capable of completing complex, multi-step tasks, such as browsing the web, creating presentations, managing calendars, filling out forms, and conducting advanced research.
In April 2025, Microsoft updated Dynamics 365 with new AI Copilot and agent features to improve customer service, sales, finance, supply chain, human resources, and commerce with more coordinated integration and analytics.
In May 2025, IBM introduced new AI agent frameworks and pre-built domain agents integrated with AWS Marketplace for multi-application automation through partnerships with Amazon Q index and Watson Orchestrate.
In April 2025, Google debuted Agent Space, a platform for creating interoperable AI agents across organizations, facilitating workflow automation, real-time research, and potential AI agent marketplaces via an open Agent-to-Agent protocol.
In February 2025, GitHub's Copilot tool was updated, with Agent mode enabling the AI to write, debug, and improve code independently with less human input.
Agentic AI is completely changing automation, providing intelligent systems with the ability to achieve its goals autonomously with reduced human input. Adoption is concentrated in the major metropolitan areas of North America and the Asia-Pacific region. Technology giants such as Microsoft, Google, and OpenAI are driving adoption of these solutions.
Advances and collaborative environments will continue to push the boundaries of systems across industries, improving efficiency, decision-making, and personalized automation. As Agentic AI continues to develop, it will alter how businesses operate, leading to smarter, more proactive, scalable, and capable AI systems worldwide.
