Visiongain has published a new report entitled Agentic AI Market Report 2025-2035 (Including Impact of U.S. Trade Tariffs): Forecasts by Deployment Mode (Cloud-Based, On-Premise), by Component (Solutions, Hardware, Services), by End-user Industry (Automotive Industry, Manufacturing Industry, BFSI Industry, Other), by Application  (Autonomous Decision-Making Systems, Intelligent Virtual Assistants, Process Automation, Predictive Analytics, Other), by Technology (Natural Language Processing (NLP), Machine Learning, Deep Learning, Computer Vision, Reinforcement Learning, Other) AND Regional and Leading National Market Analysis PLUS Analysis of Leading Companies.

The global agentic AI market is estimated at US$6.98 billion in 2025 and is projected to grow at a CAGR of 42.9% during the forecast period 2025-2035.

Convergence of Multi-Modal AI and Cognitive Architectures

The advancement of multi-modal AI, combined with progress in cognitive modelling, is creating fertile ground for the rise of Agentic AI. Unlike traditional machine learning models, Agentic AI systems integrate various forms of sensory input—text, image, audio, and even haptic data—while incorporating reasoning, memory, and planning functions that mirror human cognitive processes. OpenAI’s GPT-4o and Google DeepMind’s Gemini 1.5 exemplify this trend, with both platforms showing the capacity to reason across modalities and act with a degree of agency. Additionally, companies like Anthropic and Adept AI are focusing on building agents that can understand user intent and dynamically break down tasks. This convergence is enabling Agentic AI systems to perform more complex, contextualized actions, making them more suitable for roles in virtual assistants, robotics, and enterprise automation.

How will this Report Benefit you?

Visiongain’s 384-page report provides 124 tables and 200 charts/graphs. Our new study is suitable for anyone requiring commercial, in-depth analyses for the agentic AI market, along with detailed segment analysis in the market. Our new study will help you evaluate the overall global and regional market for agentic AI. Get financial analysis of the overall market and different segments including deployment mode, component, application, and technology, and capture higher market share. We believe that there are strong opportunities in this fast-growing agentic AI market. See how to use the existing and upcoming opportunities in this market to gain revenue benefits in the near future. Moreover, the report will help you to improve your strategic decision-making, allowing you to frame growth strategies, reinforce the analysis of other market players, and maximise the productivity of the company.

What are the Current Market Drivers?

Expansion of Human-AI Collaboration in Professional Workflows

Another major driver of the Agentic AI market is the rapid integration of these systems into professional workflows, where they act not merely as tools but as collaborators capable of initiating actions, setting sub-goals, and adapting to user feedback. In enterprise environments, platforms like Microsoft Copilot and Salesforce’s Einstein GPT are embedding Agentic AI capabilities directly into productivity suites and CRM platforms. These systems can autonomously draft documents, analyze customer sentiment, manage follow-ups, and recommend strategies—all while learning from user behavior over time. This shift is moving AI from a reactive paradigm to a proactive one, where agents anticipate needs and take initiative, significantly enhancing productivity and decision quality in fields like law, consulting, marketing, and software development.

Investment Surge and Strategic Acquisitions by Tech Giants

The global Agentic AI market is also being propelled by a surge in venture capital investments and strategic acquisitions by major technology firms, signaling both confidence in its transformative potential and a race to capture early market dominance. In 2024, Microsoft invested an additional $1.3 billion in Inflection AI, a company focused on building personal agentic systems, while Amazon’s investment in Anthropic has crossed $4 billion as part of its effort to bring agentic capabilities to AWS and Alexa. Similarly, Nvidia’s acquisition of Run:ai, a startup building orchestration platforms for autonomous AI workflows, reflects a broader move to support agent-driven computing infrastructures. These investments are not only accelerating product development and infrastructure scale but are also fostering partnerships that embed Agentic AI into mainstream software, cloud services, and consumer interfaces.

Where are the Market Opportunities?

Expansion of Intelligent Digital Workers in Enterprise Environments

One of the most immediate and scalable opportunities for Agentic AI lies in the deployment of intelligent digital workers within enterprise settings. Unlike traditional automation tools, Agentic AI systems can autonomously plan, prioritize, and execute complex sequences of tasks across multiple software environments—ranging from document analysis and email correspondence to project coordination and customer interaction. Companies like UiPath, ServiceNow, and Adept AI are already developing agent-based solutions that integrate with existing enterprise software to enhance workforce productivity. In 2024, Salesforce expanded its Einstein Copilot platform with proactive agentic capabilities, enabling it to not only respond to queries but also initiate follow-ups, generate summaries, and recommend strategic actions. This shift from reactive assistants to self-directed digital workers offers organizations significant value in terms of cost reduction, speed, and operational efficiency, especially in sectors like legal services, financial analysis, and HR.

Agentic AI in Personalized Healthcare and Clinical Decision Support

Healthcare presents a transformative opportunity for Agentic AI, particularly in the domains of personalized medicine, diagnostics, and clinical workflow management. Agentic systems can analyze patient histories, identify risk patterns, suggest diagnostic tests, and even draft treatment plans based on evolving health conditions—all while learning from clinician feedback. In 2025, Mayo Clinic and Microsoft Health Futures announced a collaboration to test autonomous AI agents in radiology and oncology, aimed at accelerating diagnosis and reducing administrative burdens. Similarly, startups like Abridge and Glass Health are using agentic approaches to streamline clinical documentation and guideline-based decision-making. The scalability of such solutions is immense, especially in under-resourced settings where physician availability is limited. By enabling context-aware, goal-directed actions, Agentic AI can enhance clinical precision and optimize patient outcomes while alleviating system-level inefficiencies.

Competitive Landscape

The major players operating in the agentic AI market are Adept AI, Alphabet Inc., Amazon Web Services, Inc, Amelia, Botica’s, Cognigy AI, CUJO AI, Infinitus AI, International Business Machines Corp., Leena AI, LivePerson Software Company, Microsoft, NVIDIA Corporation, OpenAI, Salesforce AI, These major players operating in this market have adopted various strategies comprising M&A, collaborations, investment in R&D, regional business expansion, partnerships, and new product launch.

Recent Developments

• 22 May 2025, Achieved top-tier status in Microsoft’s AI Cloud Partner Program. Enables deeper Azure, Dynamics 365, and Teams integrations, co-sell opportunities, and deployment via Azure Marketplace.
• 13 May 2025, Collaborated to integrate AI agents with real-time EHR systems, enabling patients to manage appointments, refills, and lab results via voice/chat—reducing workload and improving responsiveness.
• 10 Jun 2025, Showcased its Agentic AI platform at the largest contact center conference, highlighting strategic partnerships, real-world use cases, and enterprise traction.

Notes for Editors

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