“Global Enterprise Agentic AI Market to reach a market value of USD 46.30 Billion by 2032 growing at a CAGR of 45.4%”
The Global Enterprise Agentic AI Market size is expected to reach $46.30 billion by 2032, rising at a market growth of 45.4% CAGR during the forecast period.
Based on Agent System, the market is segmented into Single Agent Systems, and Multi Agent Systems. One of the leading implementations of single-agent AI is found in Salesforce’s Einstein GPT, which powers single-agent virtual assistants to handle customer queries, generate knowledge articles, and summarize interactions. These agents are integrated within CRM systems and operate independently without collaboration from other agents, delivering high reliability for routine enterprise interactions.
The major strategies followed by the market participants are partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In August, 2024, Accenture and S&P Global have partnered to advance generative AI in financial services, launching an AI learning program for S&P's 35,000 employees and enhancing AI development and benchmarking tools to drive responsible innovation and performance across the industry. Additionally, In April, 2025, Celonis has expanded its strategic partnership with Microsoft, introducing a zero-copy integration between Celonis Process Intelligence and Microsoft Fabric. This enables seamless data sharing, reduced storage costs, and real-time insights within Microsoft tools like Power BI and Copilot, empowering users to enhance AI applications with contextual business process data.
Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation, NVIDIA Corporation, and Amazon Web Services, Inc. are the forerunners in the Enterprise Agentic AI Market. In January, 2025, NVIDIA Corporation partners with IQVIA, Illumina, Mayo Clinic, and Arc Institute to advance healthcare AI, accelerating drug discovery, genomics, and digital pathology. AI agents, robotics, and computing innovations aim to enhance clinical trials, diagnostics, and patient care across the healthcare industry. Companies such as Oracle Corporation, Accenture PLC, and SAP SE are some of the key innovators in Enterprise Agentic AI Market.
The escalating complexity of business operations and the imperative for cost optimization have intensified the demand for automation. Agentic AI, characterized by autonomous decision-making capabilities, addresses this need by streamlining processes and reducing reliance on human intervention. Organizations are increasingly adopting agentic AI to enhance operational efficiency. Hence, Rising Enterprise Demand For Automation And Efficiency is driving the growth of the market.
Additionally, Technological progress has been pivotal in advancing agentic AI capabilities. The development of sophisticated algorithms enhanced computational power, and the proliferation of big data have collectively facilitated the deployment of intelligent agents capable of complex decision-making. The rise of agentic AI has been largely catalyzed by the convergence of enabling technologies such as machine learning, large language models (LLMs), cloud computing, and edge computing. Therefore, Technological Advancements And Infrastructure Readiness is propelling the growth of the market.
One of the most formidable barriers to the adoption of agentic AI is its high implementation cost. These expenses include not only the upfront investment in infrastructure—such as computing resources, data lakes, and licensing fees—but also the ongoing operational costs related to model training, maintenance, and scaling. According to McKinsey’s 2023 AI Report, nearly 55% of enterprises cited the cost of AI deployment as a primary factor inhibiting expansion. Thus, while agentic AI offers a strong ROI potential in the long run, the high upfront and operational costs continue to restrain adoption, particularly in non-tech-first sectors like manufacturing or government.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships, Collaborations & Agreements.
Free Valuable Insights: Global Enterprise Agentic AI Market size to reach USD 46.30 billion by 2032
Based on Technology, the market is segmented into Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Other Technology. Natural Language Processing (NLP) has become central to the success of agentic AI systems in enterprises, especially those dealing with large volumes of unstructured text and human interaction. NLP enables AI agents to understand, generate, and respond in natural human language—thus enabling applications like customer support automation, knowledge management, and HR onboarding.
Based on Type, the market is segmented into Ready-to-Deploy Agents, and Build-Your-Own Agents. Build-your-own agentic AI systems cater to enterprises seeking full control, customization, and scalability over their autonomous systems. These agents are typically developed in-house or with support from OEMs and AI consultancies, using foundational models, open-source libraries, and proprietary business logic. Unlike off-the-shelf solutions, these agents can be trained on organization-specific data, integrated with custom APIs, and designed for complex decision-making across distributed systems.
Based on Agent System, the market is segmented into Single Agent Systems, and Multi Agent Systems. Multi Agent Systems (MAS) are an evolution of enterprise agentic AI, where multiple autonomous agents operate within the same environment, interacting, coordinating, or even competing to achieve individual or shared goals. MAS structures mirror human organizations more closely, allowing distributed decision-making, self-organization, and collective problem-solving across functions.
Based on Application, the market is segmented into Customer Service & Virtual Assistants, Robotics & Automation, Financial Services, Healthcare, Security & Surveillance, Gaming & Entertainment, Marketing & Sales, Human Resources, and Legal, Compliance & Others. In the realm of robotics and automation, agentic AI facilitates the development of autonomous systems that can perform complex tasks with minimal human intervention. These systems are employed in various industries, including manufacturing and logistics, to optimize operations and increase efficiency.
The Enterprise Agentic AI Market remains moderately competitive, driven by emerging startups and mid-sized firms innovating rapidly. Niche solutions and domain-specific applications foster differentiation. Collaboration with enterprises for custom deployments adds to competitiveness. However, lack of dominant players opens opportunities for new entrants to shape standards and gain significant early traction in this evolving landscape.
Region-wise, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA. These tools allow agents to perform long-context memory tasks, access proprietary tools via API calls, and manage internal processes—boosting enterprise efficiency. For example, Microsoft has embedded autonomous agentic features into Microsoft 365 Copilot, enabling knowledge workers to perform tasks such as summarization, writing, and decision-making with minimal intervention.
| Report Attribute | Details |
|---|---|
| Market size value in 2024 | USD 2.40 Billion |
| Market size forecast in 2032 | USD 46.30 Billion |
| Base Year | 2024 |
| Historical Period | 2021 to 2023 |
| Forecast Period | 2025 to 2032 |
| Revenue Growth Rate | CAGR of 45.4% from 2025 to 2032 |
| Number of Pages | 425 |
| Number of Tables | 507 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Market Share Analysis, Porter’s 5 Forces Analysis, Company Profiling, Companies Strategic Developments, SWOT Analysis, Winning Imperatives |
| Segments covered | Agent System, Technology, Type, Application, Region |
| Country scope |
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| Companies Included | NVIDIA Corporation, SAP SE, Oracle Corporation, Accenture PLC, OpenAI, LLC, Capgemini SE, Celonis GmbH, Microsoft Corporation, Google LLC (Alphabet Inc.), Amazon Web Services, Inc. (Amazon.com, Inc.) |
By Agent System
By Technology
By Type
By Application
By Geography
This Market size is expected to reach $46.30 billion by 2032.
Enterprise Demand for Automation and Efficiency are driving the Market in coming years, however, Investment and Funding Trends restraints the growth of the Market.
NVIDIA Corporation, SAP SE, Oracle Corporation, Accenture PLC, OpenAI, LLC, Capgemini SE, Celonis GmbH, Microsoft Corporation, Google LLC (Alphabet Inc.), Amazon Web Services, Inc. (Amazon.com, Inc.)
The expected CAGR of this Market is 45.4% from 2023 to 2032.
The Ready-to-Deploy Agents segment led the maximum revenue in the Market by Type in 2024, thereby, achieving a market value of $30.34 billion by 2032.
The North America region dominated the Market by Region in 2024, thereby, achieving a market value of $17.02 billion by 2032.
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