Agentic AI Market Size, Share & Industry Analysis, By Component (Solutions and Services), By System (Single Agentic AI and Multi Agentic AI), By Technology (Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision, and Others), By Application (Customer Service and Virtual Assistants, Robotics and Automation, Healthcare, Financial Services, Security and Surveillance, Gaming and Entertainment, Marketing and Sales, and Others), By End-use (Consumer, Enterprise, and Industrial), and Regional Forecast, 2025 – 2032

The global agentic AI market size was valued at USD 5.99 billion in 2024. The market is projected to grow from USD 7.29 billion in 2025 to USD 88.35 billion by 2032, exhibiting a CAGR of 42.80% during the forecast period.

Agentic AI refers to a new generation of intelligent systems capable of autonomous decision-making and adaptive execution across complex, distributed digital ecosystems. These systems are increasingly being adopted by organizations to enhance operational efficiency, automate knowledge work, and drive real-time decision-making across hybrid  cloud, multi-cloud, and edge environments. With the rise in enterprise data complexity, the demand for contextual intelligence, and growing reliance on scalable automation, the market is expanding rapidly.

Key players such as Microsoft, IBM Corporation, NVIDIA Corporation, and Anthropic are leading this space. Their dominance stems from cutting-edge AI research, robust cloud infrastructure, and the development of highly adaptable platforms that integrate seamlessly with enterprise systems. These companies continue to shape the market through innovation, strategic investments, and the delivery of flexible agentic AI solutions tailored for industries like healthcare, life sciences, finance, and enterprise IT.

IMPACT OF AI

Implementation of AI Capabilities to Fuel the Growth of the Market

AI is playing a pivotal role in reshaping the Agentic AI market growth by enabling more intelligent, adaptive, and efficient security frameworks. It enhances threat detection, automates responses, and supports real-time decision making, making it essential for managing today’s complex and distributed IT environments. For instance,

• In February 2025, OpenText launched Core Threat Detection and Response, an AI-powered cybersecurity solution on Microsoft Azure. It integrates with Microsoft Defender, Entra ID, and Security Copilot to detect and respond to threats quickly. The platform uses adaptive AI to tackle insider and external threats, helping organizations improve security without overhauling existing systems.

As organizations shift toward Zero Trust and cloud-based infrastructures, AI-driven Agentic AI offers the flexibility and precision needed to protect diverse digital assets. While high costs, integration challenges, and talent shortages remain obstacles, the growing need for smarter security solutions is driving rapid adoption.

MARKET DYNAMICS

AGENTIC AI MARKET TRENDS

Industry Specific Solutions to be a Key Trend in the Market

Tailored AI solutions are being developed to meet the specific needs of industries such as healthcare, finance, manufacturing, and retail. These specialized applications address unique challenges such as regulatory compliance, data privacy, and complex operational workflows in each sector. For instance,

• In September 2025, Causaly has launched Causaly Agentic Research, the first agentic AI platform specifically designed for life sciences R&D. The platform uses specialized AI agents to automate complex research workflows, integrate vast biomedical data, and deliver transparent, evidence-backed insights to accelerate drug discovery and development.

By providing customized capabilities, these AI agents improve efficiency, accuracy, and decision-making. This helps organizations better handle their industry-specific demands

MARKET DRIVERS

Rising Demand for Intelligent Automation to Propel the Market Growth

Enterprises in different industries are increasingly using agentic AI to simplify and automate complex, multi-step tasks that usually need a lot of human intervention. For instance,

• Recent studies reveal that intelligent automation is rapidly gaining traction, with forecasts estimating that nearly 80% of businesses will adopt it by 2025.

These intelligent agents can understand context, make decisions, and carry out processes on their own, which greatly lowers the manual workload for employees. By automating repetitive and time-consuming tasks, organizations can improve accuracy, speed up response times, and raise overall operational efficiency.

MARKET RESTRAINTS

Regulatory Uncertainty to Restrict Market Expansion

Regulatory Uncertainty remains a significant barrier to the widespread adoption of agentic AI. As governments and regulatory bodies across different regions continue to develop and revise policies related to artificial intelligence, lack of clear and harmonized guidelines creates confusion for enterprises looking to implement agentic systems. This is particularly critical in highly regulated sectors such as finance, healthcare, and public services, where compliance requirements are strict and constantly evolving. Uncertainty around legal liabilities, data handling protocols, and ethical standards often leads to delayed deployments or restricted use cases.

MARKET OPPORTUNITIES

Customization and Low-Code Platforms to Create Lucrative Growth Opportunities

The rise of low-code and no-code platforms for agentic AI is changing how businesses adopt and use AI solutions. These platforms offer simple and easy-to-use tools. They allow companies, even those without deep technical skills, to design, customize, and deploy AI agents that meet their specific workflows and operational needs. For instance,

• In July 2025, Fractal has launched Cogentiq, an innovative agentic AI platform designed to boost enterprise performance by enabling intelligent, autonomous decision-making. The platform features a low-code environment for creating AI agents, unified data integration, pre-built domain intelligence, and strong security.

Segmentation Analysis

By Technology

Machine Learning Leads due To High Agentic AI Technology Adoption For Creation Of Intelligent Agents

On the basis of technology, the market is classified into machine learning, natural language processing, deep learning, computer vision, and others.

In the technology part of the market, machine learning holds the largest share as it allows AI systems to learn from data, improve over time, and make correct predictions or decisions. Its ability to process large datasets effectively is crucial for creating intelligent agents that can manage complex tasks in different industries.

Deep learning is expected to grow with the highest CAGR due to its ability to process vast amounts of unstructured data and enable autonomous decision-making. Its effectiveness in powering generative AI, natural language understanding, and adaptive learning systems makes it a core enabler of agentic capabilities.

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By Component

Solutions Segment Emerges as the Leading Force as They Offer Effective AI Adoption

In terms of component, the market is categorized into solutions and services.

The solution segment captured the largest share of the market in 2024. In 2025, the segment is anticipated to dominate with a 64.7% share, as they provide ready-to-deploy AI agents that meet specific business needs. This allows for faster implementation and immediate value. These solutions combine several technologies, such as natural language processing, machine learning, and automation. This combination makes them appealing to companies looking for effective and scalable AI adoption.

The services segment is expected to grow at a CAGR of 46.30% over the forecast period.  

By System

Single Agentic AI Systems Hold Majority Share Due to Simplicity and Faster Deployment

Based on system, the market is segmented into single agentic AI and multi agentic AI.

The single agentic AI held the dominating position in 2024 and is expected to hold the share of 58.8% in 2025 as it is easier to implement and manage, making it suitable for specific, well-defined tasks. Single-agent systems provide targeted functionality with less complexity and cost than multi-agent systems, which require more coordination and integration.

The segment of multi agentic AI is set to flourish with a growth rate of 46.30% growth across the forecast period.

By Application

Customer Service and Virtual Assistants Lead Market by Application, driven by Rising Automation Demand

Based on application, the market is segmented into customer service and virtual assistants, robotics and automation, healthcare, financial services, security and surveillance, gaming and entertainment, marketing and sales, and others.

In 2024, the application segment of the market, customer service and virtual assistants hold the largest share. These AI agents greatly improve user experience by offering instant, personalized support and managing a large number of inquiries effectively. Furthermore, the segment is set to hold a 32.2% share in 2025.

• According to Cisco, by 2028, agentic AI is projected to manage 68% of all customer service and support interactions with technology vendors.

In addition, healthcare is projected to grow at a CAGR of 48.40% during the study period.

By End-Use

Enterprise Sector Dominates, fueled by Growing Digital Transformation Initiatives

Based on end-use, the market is segmented into consumer, enterprise, and industrial.

In 2024, In the end-use segment of the market, enterprises hold the majority share. This is due to their increasing need to automate complex business processes, improve operational efficiency, and make better decisions with intelligent AI agents. Furthermore, the segment is set to hold a 45.7% share in 2025.

• According to Capgemini, 14% of organizations have deployed AI agents, with 12% implementing them on a partial scale and 2% fully. Additionally, nearly a quarter (23%) have initiated pilot programs, while 61% are actively exploring or preparing for AI agent deployment.

In addition, industrial are projected to grow at a CAGR of 46.2% during the study period.

Agentic AI Market Regional Outlook

By geography, the market is categorized into Europe, North America, Asia Pacific, Latin America, and Middle East & Africa.

North America

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North America dominated the agentic AI market in 2023 with a valuation of USD 1.83 billion, maintaining its leading position in 2024 by reaching USD 2.09 billion. The region’s leadership is driven by early adoption of generative and agentic AI technologies, strong presence of tech giants like Microsoft, IBM, and NVIDIA, and substantial investment in AI infrastructure across enterprise, healthcare, and research sectors. Additionally, favorable regulatory frameworks supporting AI innovation and ethics have contributed to rapid deployment. The U.S. market alone is estimated to reach USD 1.89 billion in 2025, underlining its central role in shaping agentic AI advancements.

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Europe

Other regions, including Europe and Asia Pacific, are expected to experience substantial growth over the coming years. Europe, in particular, is projected to grow at a rate of 42.5% during the forecast period, making it the second-fastest-growing region, with the market expected to hit USD 2.31 billion by 2025. This surge is supported by strong regulatory alignment with AI governance (such as the EU AI Act), increased investment in digital autonomy, and demand for AI agents in pharmaceutical research, financial services, and government applications. Leading countries such as the U.K., Germany, and France are projected to reach USD 0.43 billion, USD 0.51 billion, and USD 0.42 billion, respectively, in 2025.

Asia Pacific

Asia Pacific ranks as the third-largest market, with a projected valuation of USD 1.86 billion in 2025. Rapid digitalization, growing tech ecosystems, and national AI strategies in countries like China and India are fueling adoption. China and India are estimated to reach USD 0.52 billion and USD 0.45 billion, respectively, as enterprises and public sector institutions increasingly turn to autonomous agents to enhance productivity and streamline operations.

Latin America and Middle East & Africa

Latin America and the Middle East & Africa are anticipated to witness moderate growth. Latin America is forecasted to reach USD 0.20 billion in 2025, with digital innovation efforts and startup activities in Brazil and Mexico driving market expansion. Meanwhile, in the Middle East & Africa, the GCC countries are estimated to reach USD 0.18 billion, supported by national AI strategies, smart city initiatives, and government-led digital transformation programs aiming to leverage agentic AI for citizen services, public safety, and infrastructure management.

COMPETITIVE LANDSCAPE

Key Industry Players

Wide Range of Product Offerings By and Strong Distribution Network of Key Companies, supported their Leading Positions

The market is being shaped by major technology leaders such as Microsoft, IBM Corporation, NVIDIA Corporation, and Anthropic. These companies are leveraging their advanced capabilities in artificial intelligence, cloud infrastructure, and high-performance computing to develop sophisticated agentic AI systems that enable autonomous reasoning and decision-making.

Their strong market presence, combined with deep investments in R&D and expansive partner ecosystems, positions them as key innovators in this space. With solutions tailored for sectors ranging from healthcare and finance to enterprise operations, these companies are leading the shift toward intelligent, context-aware systems that go beyond traditional automation. Their ability to deliver scalable, secure, and adaptable AI frameworks continues to support their competitive edge in the rapidly growing agentic AI landscape.

LIST OF KEY AGENTIC AI COMPANIES STUDIED

• Microsoft (U.S.)
• OpenAI Corporation ((U.S.)
• IBM Corporation (U.S.)
• Nvidia Corporation (U.S.)
• Google LLC (U.S.)
• Anthropic PBC (U.S.)
• SAP SE (Germany)
• UiPath (U.S.)
• Oracle Corporation (U.S.)
• Zycus Inc. (U.S.)
• Cognition AI (U.K.)
• Mercateo AG (Germany)
• Coupa (U.S.)

KEY INDUSTRY DEVELOPMENTS

• September 2025: Ericsson has integrated agentic AI into its Private 5G and NetCloud platform, enabling self-optimizing, automated network management. Launching in Q4 2025, it enhances AI-powered features like troubleshooting, deployment, and AIOps, reducing downtime and boosting scalability for enterprise networks.
• September 2025: Jitterbit introduced a new AI platform that connects data, apps, and agents to automate enterprise processes. It simplifies integration using a natural language AI assistant, aiming to reduce tool sprawl and boost business efficiency. The platform helps companies overcome common AI adoption challenges like fragmentation and complexity.
• September 2025: Affinda has released a new agentic AI-powered platform that automates any document workflow with over 99% accuracy. It uses LLMs, RAG, and persistent model memory to process all document types quickly and flexibly. The platform is easy to set up, supports 56 languages, integrates with 400+ systems, and is available via free trial and pay-per-use.
• September 2025: Workday has acquired AI company Sana Labs for USD 1.1 billion to boost its agentic AI capabilities and enhance workplace experiences. The acquisition brings in AI-powered tools like Sana Learn and Sana Agents to personalize training and automate repetitive tasks.
• September 2025: DRUID AI, a Romania-based enterprise conversational AI company, has raised USD 31 million in Series C funding led by Cipio Partners to accelerate global expansion and advance its agentic AI platform. The funding comes as Joseph Kim is appointed CEO. DRUID’s platform, used by over 300 clients like AXA and NHS, helps automate workflows through AI agents.

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