Global Agentic AI Market Size, Share Analysis By Product Type (Ready-To-Deploy Agents, Build-Your-Own Agents), By Agent Role (Customer Service and Virtual Assistants, Sales and Marketing, Human Resources, Legal and Compliance, Financial Services, Other Applications), By Agent System (Single Agent, Multi Agent), By End User (Enterprises (BFSI, IT & Telecom, Government & Public Sector, Healthcare, Manufacturing, Media & Entertainment, Others), Consumers), Region and Companies – Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2025-2034

Report Overview

The Global Agentic AI Market size is expected to be worth around USD 196.6 billion by 2034, from USD 5.2 billion in 2024, growing at a CAGR of 43.8% during the forecast period from 2025 to 2034. In 2024, North America held a dominant market position, capturing more than a 38% share, holding USD 1.97 Billion revenue. The US Agentic AI Market size was exhibited at USD 1.58 Billion in 2024 with CAGR of 43.6%.

Agentic AI refers to a type of artificial intelligence that operates with a high degree of autonomy, capable of making decisions and performing actions without direct human intervention. This AI can manage and complete tasks independently, adapting its approach based on its interactions and learnings. It can collaborate with other digital systems and AI agents to achieve complex goals, effectively acting as a proxy for human users or other AI entities.

The market for agentic AI is emerging as a significant area of interest within the technology sector, driven by its potential to enhance efficiency and innovation across various industries. Major technology firms are investing heavily in developing these systems, recognizing their capacity to transform operations by automating complex processes and decision-making tasks. This is fostering a new wave of applications in fields ranging from finance and healthcare to supply chain management and customer service.

The primary driving force behind the agentic AI market is the need for enhanced productivity and operational efficiency. Businesses are looking to reduce human error and the time required for data processing and decision-making.

Technologies integral to the adoption of agentic AI include advanced machine learning models, natural language processing, and real-time data analytics. These technologies enable AI agents to perceive their environment accurately, make informed decisions, and execute actions autonomously​

According to DigitalDefynd, by 2028, 33% of enterprise software applications are expected to incorporate agentic AI, a significant rise from less than 1% in 2024. This rapid adoption of AI is set to improve operational efficiency by 30% and reduce processing times by up to 40% in industries like manufacturing and logistics. The impact on consumer engagement is also notable, with 65% of consumers expressing interest in using agentic AI for personalized recommendations and customer service.

In terms of competitive advantage, 90% of businesses anticipate that agentic AI will greatly influence their position in the market over the next five years. This view aligns with a Deloitte survey, which indicates that companies utilizing AI for strategic decision-making achieve 15% higher market share and outperform competitors in both revenue growth and innovation.

The healthcare sector stands to benefit significantly as well. Accenture estimates that agentic AI could save the industry approximately $50 billion annually, particularly through improved drug discovery and patient care processes. AI has already proven its effectiveness in reducing diagnostic errors by 20% and cutting treatment costs by 15%, according to the American Hospital Association.

On the consumer side, 75% of customers prefer businesses that offer personalized experiences powered by agentic AI, with personalized interactions resulting in a 40% increase in customer retention, as highlighted in a HubSpot survey. Furthermore, a study from Harvard Business Review underscores the importance of ethical AI development, revealing that companies with a strong ethical framework see 20% higher trust levels from users.

There is a growing demand for AI systems that can operate independently and handle decision-making processes in real-time. Opportunities are particularly pronounced in sectors that rely heavily on data analysis and real-time decision-making, such as finance, healthcare, and logistics. Agentic AI’s ability to continuously learn and adapt makes it ideal for applications where conditions change rapidly, and there is a need for constant optimization.

Key Takeaways

• In 2024, the Ready-To-Deploy Agents segment held a dominant market position, capturing more than a 58.5% share of the Global Agentic AI Market.
• In 2024, the Productivity & Personal Assistant segment held a dominant market position, capturing more than a 28.2% share of the Global Agentic AI Market.
• In 2024, the Multi Agent segment held a dominant market position, capturing more than a 66.4% share of the Global Agentic AI Market.
• In 2024, the Enterprises segment held a dominant market position, capturing more than a 62.7% share of the Global Agentic AI Market.
• The US Agentic AI Market size was exhibited at USD 1.58 Billion in 2024 with CAGR of 43.6%.
• In 2023, North America held a dominant market position in the global Agentic AI Market, capturing more than a 38% share.
• According to the financial express, by 2028, 33% of enterprise applications will feature Agentic AI, a significant leap from less than 1% in 2024.
• According to OECD, 90% of constituents are ready for AI agents in Public Service.

Analysts’ Viewpoint

Organizations are increasingly adopting agentic AI for several key reasons: enhanced operational efficiency, cost reduction through automation, and the ability to operate continuously without the constraints of human work hours. Moreover, agentic AI can adapt and respond to operational challenges in real-time, providing businesses with a competitive edge​.

The demand for agentic AI is particularly strong in sectors such as finance, healthcare, and customer service, where decision-making speed and accuracy are critical. In these sectors, AI agents can handle everything from customer inquiries and transaction processing to patient data management and treatment plans​.

Significant investment opportunities exist in the development of more robust and secure agentic AI systems, especially those that can be integrated with existing IT infrastructure. Investors are also looking at startups and technologies that push the boundaries of autonomous AI applications, such as those used in autonomous vehicles and smart city solutions​.

The business benefits of implementing agentic AI include higher productivity, reduced operational costs, and improved customer engagement through personalized and prompt service. Additionally, these systems provide businesses with insights derived from big data analytics, enabling better strategic decision-making​.

The regulatory environment for agentic AI is evolving, with an increasing focus on privacy, security, and data governance. Governments worldwide are beginning to draft and implement guidelines that ensure the ethical use of AI technologies, which is critical for fostering public trust and broader adoption​.

U.S. Agentic AI Market Size

The US Agentic AI Market was valued at USD 1.58 billion in 2024, with a robust CAGR of 43.6%. This is majorly due to the technological advancements that in the region. the region has a presence of huge technological giants who look for developing new innovations and advancements in AI technology.

The U.S. region is also supported by significant large investments in the emerging software and AI solutions. For instance, according to BBC, leading tech firms, including Oracle, SoftBank, and OpenAI has pledged to invest $500 billion in AI. This initiative, known as “Project Stargate,” aims to revolutionize U.S. infrastructure and innovation by leveraging AI technology.

The government provides significant funding for research and development through agencies like the National Science Foundation (NSF) and the Defense Advanced Research Projects Agencies (DARPA). All these aspects help in driving the advancements in agentic AI.

In 2024, North America held a dominant market position in the Agentic AI space, capturing more than 38% of the global market share, generating approximately USD 1.97 billion in revenue. The region’s leadership is driven by several key factors, including significant investments in AI research and development, the presence of tech giants like Google, Microsoft, and IBM, and a robust startup ecosystem.

These companies are at the forefront of advancing AI technologies, creating a favorable environment for innovation and rapid deployment of Agentic AI solutions. Additionally, North America’s strong industrial base, particularly in sectors such as automotive, healthcare, and finance, has created a high demand for AI-driven automation, further propelling the market’s growth.

The region also benefits from supportive government policies that foster the adoption of AI across various sectors. Programs that incentivize AI development, such as funding for smart manufacturing and healthcare digitization, are expected to continue fueling market growth.

Moreover, the growing integration of AI into everyday applications, from autonomous vehicles to customer service automation, has raised the demand for Agentic AI systems across North America. With a tech-savvy population and access to cutting-edge AI research, the region is well-positioned to lead the charge in developing and deploying autonomous AI solutions.

Product Type Analysis

In 2024, the Ready-To-Deploy Agents segment held a dominant market position, capturing more than 58.5% of the overall market share. This can be attributed to the growing demand for quick, cost-effective, and scalable AI solutions across industries. Ready-To-Deploy Agents are pre-configured, enabling businesses to implement them rapidly without requiring substantial customization or extensive development resources.

These agents are particularly attractive to organizations looking to expedite digital transformation initiatives, as they allow for immediate deployment and operational integration. Moreover, industries such as customer service, healthcare, and retail have increasingly adopted these agents for their ability to provide efficient automation, reducing the time and cost associated with human intervention.

The preference for Ready-To-Deploy Agents is further driven by the simplicity of their implementation. Enterprises, especially small-to-medium-sized businesses (SMBs), face resource constraints, both in terms of skilled personnel and time. Ready-To-Deploy solutions eliminate the complexity associated with building AI systems from the ground up, providing businesses with a tangible return on investment in a shorter time frame.

In sectors like e-commerce and finance, the scalability and ease of integration that these agents offer are vital, as they can handle a growing volume of transactions or customer interactions without needing significant modifications. Additionally, the growing trend towards automation and self-service solutions has propelled the demand for Ready-To-Deploy Agents.

The rise in consumer expectations for real-time support and personalized experiences has further accelerated this demand, as businesses look to these agents to deliver timely and efficient responses. Notably, the technology has matured to a level where Ready-To-Deploy Agents offer advanced functionalities, such as natural language processing and machine learning capabilities, making them suitable for handling complex tasks while still being accessible for rapid implementation.

Agent Role Analysis

In 2024, the Productivity & Personal Assistant segment held a dominant market position in the Agentic AI landscape, capturing more than a 28.2% share. This segment’s leadership is driven by the increasing demand for tools that enhance efficiency, streamline workflows, and simplify daily tasks for both individuals and organizations.

Productivity and personal assistants, such as AI-powered schedulers, email management systems, and task automation platforms, have become essential in today’s fast-paced, digitally driven world. The rise of remote work and hybrid work models has further accelerated the adoption of these tools, as businesses and individuals seek ways to manage time effectively and maintain productivity in decentralized environments.

One of the key factors behind the segment’s growth is the rapid advancement in natural language processing (NLP) and machine learning technologies. These advancements have significantly improved the accuracy, responsiveness, and user-friendliness of productivity tools, making them accessible to a broader audience. For instance, AI-powered virtual assistants can now understand complex commands, prioritize tasks, and even predict user needs based on past behavior.

Another contributing factor is the widespread integration of productivity assistants into existing software ecosystems. Major tech companies have embedded AI-driven features into their productivity suites, such as Microsoft’s Copilot in Office 365 and Google’s AI enhancements in Workspace.

These integrations allow users to automate repetitive tasks, generate insights from data, and collaborate more effectively, all within familiar platforms. As a result, businesses are experiencing tangible improvements in operational efficiency, while individuals are benefiting from enhanced time management and reduced cognitive load.

The Productivity & Personal Assistant segment is also benefiting from the growing emphasis on work-life balance and mental well-being. AI tools are increasingly being used to help users manage their schedules, set reminders, and even suggest breaks to prevent burnout. This human-centric approach has resonated strongly with consumers, further driving adoption.

Agent System Analysis

In 2024, the Multi-Agent segment held a dominant market position in the Agentic AI market, capturing more than a 66.4% share. This segment’s leadership is driven by the increasing complexity of tasks and the growing need for collaborative problem-solving across industries.

Multi-agent systems, which involve multiple AI agents working together to achieve a common goal, are particularly effective in scenarios requiring advanced coordination, scalability, and adaptability. For instance, in industries like supply chain management, healthcare, and autonomous vehicles, multi-agent systems are being used to optimize operations, enhance decision-making, and improve efficiency.

According to the International Federation of Robotics, the global market for collaborative robots (cobots) is expected to reach $12.8 billion by 2027, with multi-agent systems playing a pivotal role in their deployment. These systems allow robots to communicate, share data, and adapt to changing conditions, resulting in higher productivity and reduced downtime.

One of the key reasons for the dominance of the multi-agent segment is its ability to handle large-scale, dynamic environments more effectively than single-agent systems. Multi-agent systems excel in distributed environments where tasks are too complex or vast for a single agent to manage. For example, in smart city applications, multi-agent systems are used to coordinate traffic management, energy distribution, and public safety operations.

Another factor contributing to the segment’s growth is the increasing adoption of multi-agent systems in collaborative robotics and industrial automation. In manufacturing, for instance, multi-agent systems are being used to coordinate fleets of autonomous robots, enabling seamless collaboration on assembly lines and in warehouses.

End-User Segment Analysis

In 2024, the Enterprises segment held a dominant market position in the Agentic AI market, capturing more than a 62.7% share. This segment’s leadership is driven by the widespread adoption of AI-driven solutions across industries to enhance operational efficiency, improve decision-making, and deliver personalized customer experiences.

Enterprises in sectors such as BFSI (Banking, Financial Services, and Insurance), IT & Telecom, Healthcare, and Manufacturing are leveraging Agentic AI to automate complex processes, optimize resource allocation, and drive innovation.

According to a PwC report, 72% of business executives believe AI will be a key business advantage in the coming years, highlighting the growing reliance on AI technologies within the enterprise sector. The ability of Agentic AI to handle large-scale, data-intensive tasks while adapting to dynamic environments has made it an indispensable tool for modern businesses.

The BFSI sector is one of the primary contributors to the Enterprises segment’s dominance. Financial institutions are using Agentic AI for fraud detection, risk assessment, and customer service automation. For instance, AI-powered chatbots and virtual assistants are being deployed to handle customer inquiries, while machine learning algorithms analyze transactional data to identify fraudulent activities in real-time.

A 2023 study by Accenture revealed that banks using AI technologies have seen a 25% reduction in operational costs and a 20% increase in customer satisfaction. Additionally, Agentic AI is enabling personalized financial planning and investment recommendations, further enhancing customer engagement and loyalty. These applications underscore the critical role of AI in driving efficiency and innovation in the BFSI sector.

Key Market Segments

By Product Type

• Ready-To-Deploy Agents
• Build-Your-Own Agents

By Agent Role

• Customer Service and Virtual Assistants
• Sales and Marketing
• Human Resources
• Legal and Compliance
• Financial Services
• Other Applications

By Agent System

• Single Agent
• Multi Agent

By End User

• Enterprises
  • BFSI
  • IT & Telecom
  • Government & Public Sector
  • Healthcare
  • Manufacturing
  • Media & Entertainment
  • Others
• Consumers

Drivers

Growing demand for automation

Businesses across various industries are thriving to improve the efficiency and reduce the operational costs through automation. For instance, according to GAO, researchers have estimated that 9% to 47% of jobs could be automated in the future.

Agentic AI systems can automate the repetitive and consume time tasks such as data entry, scheduling, and customer support, thus allowing the human employees to focus on higher value activities. This shift could result in increased productivity and cost savings.

Moreover, automation through the agentic AI ensures that tasks are performed with high accuracy and consistency, thus minimizing the risk of human errors. It also augments the working capability of human workers, by allowing them to focus on strategic and creative aspects of their roles, thus leading to an increased job satisfaction and innovation.

Restraint

Data privacy and security concerns

Agentic AI system tends to process a vast amount of sensitive and personal data such a medical record, financial information, and personal identifiers. Ensuring the privacy and security of this data is highly crucial as any breaches or misuse could lead to several legal and reputational consequences for businesses.

Additionally, various regions have stringent data privacy regulations such as General Data Protection Regulation (GDPR) in Europe and California Consumer Privacy Act (CCPA) in the United States. Navigating these complex regulatory landscapes and ensuring compliance can be highly challenging and resource intensive for companies adopting agentic AI.

Opportunities

Smart city initiatives

Various smart city initiatives present significant opportunities for the agentic AI market. It can optimize the traffic flow by analysing the real time data from sensors and cameras, thus reducing the congestion and pollution. It can also monitor and manage the energy consumption, thus optimizing the use of resources like ware and electricity.

For instance, according to World Economic Forum, The Singapore government has invested heavily in AI and smart city technologies. The Smart Nation and Digital Government Office (SNDGO) was allocated SGD 3.5 billion (approximately USD 2.6 billion) for the development of digital infrastructure and AI capabilities.

Moreover, Agentic AI can enhance the public safety by analysing the data from surveillance cameras, sensors, and social media to detect and respond to potential threats. It can also optimize the waste collection routes, monitor the recycling processes, and manage the waste disposal facilities. These factors have brought new opportunities for the Agentic AI market to grow.

Challenges

Integration with the existing systems

Agentic AI systems need to seamlessly integrate with various legacy systems and platforms that are already adopted by the organization. Thus ensuring compatibility with different software architectures, data formats, and communication protocols can be highly complex and time consuming.

Moreover, many organizations also operate with data silos, where information is stored in disparate systems that do not communicate with each other. Integrating the agentic AI needs a breaking down of these silos and creating a unified data environment, that can be highly challenging and a resource intensive process.

Growth Factors

There is an ongoing advancement in AI algorithms, particularly in reinforcement leading and deep leading. This is increasing the capabilities of agentic AI systems. these improvements enable AI agents to make a more accurate prediction, adopt to new scenarios, and operate more autonomously.

Moreover, The explosion of big data also provide a huge source of information for agentic AI systems to analyze. Industries like finance and retail are leveraging AI to process large datasets, uncover patterns, and make informed decisions, that are essential for enhancing efficiency and gaining competitive advantage.

Latest Trends

There are numerous trends reshaping the Agentic AI market. the expansion of specialized virtual assistants that are designed for niche industries has evolved as a trend reshaping the market growth. this trend is further enhanced by the hyper personalization, with AI assistants being industry centric and highly personalized according to the user’s preferences and capabilities related to their professions.

Moreover, AI agents are also incorporating emotional intelligence, thus enabling them to understand and respond to human emotions more effectively. This trend is improving user experiences and interactions with the AI systems.

Key Regions and Countries

• North America
  • US
  • Canada
• Europe
  • Germany
  • France
  • The UK
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Australia
  • Singapore
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of MEA

Key Players Analysis

One of the leading company, IBM Corporation, also known as International Business Machines Corporation, is a global technology company headquartered in Armonk, New York. Founded in 1911, IBM has been at the forefront of technological innovation for over a century.

Another prominent player, Oracle Corporation has introduced a new wave of AI known as agentic AI, which is designed to revolutionize business processes by providing autonomous, goal-oriented, and proactive AI systems.

Top Key Players in the Market

• Amazon.com Inc.
• Alphabet Inc.
• Microsoft Corporation
• IBM Corporation
• Oracle Corporation
• Salesforce, Inc.
• SAP SE
• ServiceNow, Inc.
• UiPath, Inc.
• Zendesk, Inc.
• Others

Recent Developments

• In January 2025, Kore.ai, a global leader in enterprise AI, announced AI for Process, a no-code platform that fundamentally transforms how enterprises automate and optimize knowledge-intensive operations. AI for Process empowers enterprises to rapidly build, deploy, and manage custom AI agents or Agentic Apps at scale that can understand context, make complex decisions, and orchestrate sophisticated Agentic workflows.
• In January 2025, Accenture has launched AI Refinery for Industry with a collection of 12 industry agent solutions to help organizations rapidly build and deploy a network of AI agents that can enhance its workforce, address industry-specific challenges and drive business value faster.
• In January 2025, AI-focused business transformation technology provider ServiceNow has unveiled a major expansion of its global partner program with an eye on making it easier for its channel partner community to take better advantage of AI.
• In January 2025, LexisNexis Legal & Professional, a leading global provider of AI-powered analytics and decision tools, announced the U.S. general availability of LexisNexis Protégé, a personalized AI assistant that intelligently powers productivity, drives next-level work quality, and enables legal and business professionals to unlock new economic value.
• In 29 April 2024, Endava PLC, a leading UK-based software development company, announced the launch of its innovative AI accelerator, Morpheus. This new platform is designed to leverage AI-powered tools and multi-agent autonomous teams to address the complex challenges faced by industries with stringent regulations and transparency requirements, such as insurance, healthcare, private equity, and financial services.

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