AI Agents Market Size, Share, By Agents Type (Reactive Agents, Proactive Agents, Hybrid Agents, Utility-Based Agents, Learning Agents, and Others), System Type (Single Agent System, and Multi Agent System), Technology (Machine Learning, Deep Learning, Natural Language Processing (NLP), and Others), Application (Customer Service and Support, Cyber security Monitoring and Threat Response, Marketing & Sales Automation, IT and Development, Supply Chain Optimization, and Others), End User (BFSI, Healthcare & Life Sciences, Retail & E-commerce, IT & Telecommunications, Manufacturing, and Others), and Region - Trends, Analysis, and Forecast till 2035

• By 2035, the AI agents market size is contemplated to enlarge at a valuation of USD 243.7 Billion.
• In 2024, the AI agents market valuation was USD 5.6 Billion.
• AI agents market is developing at a CAGR of 45.9%.

Artificial intelligence (AI) agents are computer programs or systems that are made to sense their surroundings on their own, make judgments, and act to accomplish particular objectives. They frequently use AI techniques like automation, machine learning, and natural language processing. They can work autonomously or help people with activities involving process automation, data analysis, customer service, and recommendation systems. Increased productivity, less human labor, quicker decision-making, cost savings, and the capacity to perform intricate or repetitive activities accurately and consistently are some of the main advantages of AI agents.  

Advances in machine learning and natural language processing, the need for businesses to improve productivity and customer experiences, the growing demand for automation, and the growing acceptance of AI-powered solutions across industries are all factors driving the growth of the AI agents market. AI agents are being used by businesses to lower operating expenses, speed up decision-making, and better handle massive amounts of data. The use of AI agents is also being accelerated in industries including healthcare, banking, retail, and customer service by the growth of digital transformation projects, as well as by the widespread use of smart devices and virtual assistants.

The AI agents market is currently seeing trends such as the increasing use of generative AI and large language models to produce more conversational, resembling interactions; the emergence of autonomous agents that can perform multi-step, complex tasks without human assistance; and the growing use of AI agents in financial advising, healthcare diagnostics, virtual assistants, and customer service. Along with growing use cases in sectors includes cybersecurity, logistics, and Healthcare & Life Sciences, there is also a noticeable trend toward customized, adaptable AI agents that pick up on user behavior. Additionally, more companies are able to implement unique AI agents without requiring extensive technical knowledge thanks to the trend toward low-code/no-code platforms.

Recession Risk & Tariff Analysis:

• Economic slowdowns may cause some businesses to reduce or postpone investments in new technologies, which puts the market for AI agents at moderate risk of recession. At the same time, the need for automation and cost efficiency may increase demand for AI agents as businesses look to streamline operations with fewer resources. Since AI agents are mostly software-based, tariffs have little effect on them.
• However, taxes on tech imports may have an influence on hardware components, such as servers or devices that house AI systems, which could increase the cost of implementation. Overall, the long-term need for AI-driven automation is still strong, even though macroeconomic challenges may momentarily restrict progress.

Impact of Generative AI on AI Agents Market:

• The market for AI agents is being profoundly changed by generative AI, which gives agents the ability to carry out more imaginative, flexible, and natural-looking duties including creating customized content, automating intricate processes, and having lifelike conversations. This development increases the adaptability of AI agents in fields includes marketing, customer service, Healthcare & Life Sciences, and healthcare by extending their skills beyond scripted or rule-based interactions.

Key Drivers:

The Market is Maturing Progressively due to the Increasing Adoption of AI-Powered Solutions across Industries

As companies look to automate procedures, improve decision-making, and increase customer interaction, the market for AI agents is growing due in large part to the growing acceptance of AI-powered solutions across industries. AI agents are being used by industries comprised of healthcare, banking, retail, and manufacturing to do activities as fraud detection, virtual support, predictive maintenance, and personalized suggestions. This lowers operating costs while increasing scalability and efficiency. As businesses prioritize digital transformation and gaining a competitive edge through AI integration, this broad adoption increases demand for more advanced, flexible AI agents that can perform a variety of tasks, ultimately growing the AI agents market.

• For instance, according to the data published by Vention, 35% of companies are utilizing AI across multiple departments. With 80% of executives convinced that automation can be applied to any business decision, these numbers will only climb higher. In 2018, only 40% of organizations actively using AI devoted over 5% of their digital budgets to it, but in 2023, that number jumped to 52%.

Restraints:

Data Security Concern may impedes the Market Development

The vast amounts of sensitive user data, including financial, health, and personal information, that AI agents gather, process, and learn from raise data privacy concerns in the market for AI agents and raise the possibility of data breaches, misuse, or unauthorized access. Users' trust may be damaged by these issues, and businesses may be subject to fines under the CCPA or GDPR.

• Counterbalance Statements: Strong data encryption, anonymization methods, safe data storage, stringent access controls, and the adoption of privacy-by-design principles to include data protection into the creation of AI agents are some solutions. Transparent user consent procedures, frequent audits, and compliance checks all contribute to reducing privacy risks while preserving regulatory alignment.

Opportunities & Trends:

Trend toward No-Code/Low-Code Platforms can assist to Future Market Prospects

By making it easier for non-technical users to design, modify, and apply AI solutions without extensive programming knowledge, the trend toward no-code/low-code platforms offers a substantial opportunity for the market for AI agents in the future. Due to its accessibility, AI agents can be used by small and medium-sized enterprises as well as solo entrepreneurs to streamline operations, automate jobs, and improve customer relations at a reduced cost and quicker response time. Because of this, it is anticipated that the market for AI agents will grow beyond big businesses to include a wider range of users, encouraging innovation, quick adoption, and a variety of use cases in other industries.

• For Instance, according to the data published by Kissflow Inc., 70% of new business applications [5] will use low-code/no-code technologies by 2025. By 2024, 80% [8] of non-IT professionals will develop IT products and services, with over 65% [9] using low-code/no-code tools. 84% of businesses [14] are adopting low-code or no-code tools to fill the technical gap left by the shortage of developers.

Agents type, system type, technology, application, end user, and region are the divisions of the AI Agents Market.

By Agents Type:

Reactive agents, proactive agents, hybrid agents, utility-based agents, learning agents, and others are agents type on which AI agents market is segmented. In customer service, sales, healthcare, and personal assistant applications, where predictive and personalized interactions lead to better results, proactive agents are highly valued for their ability to not only respond to user inputs but also anticipate needs, make recommendations, and initiate actions without direct prompts. As a result, they currently hold the largest AI agents market share.

In order to manage both straightforward responses and intricate, goal-oriented tasks, hybrid agents the second most prevalent type combine the advantages of several agent types, such as reactive and proactive. This makes them adaptable for enterprise applications that demand flexibility and multi-functionality across a range of use cases.

By System Type:

Based on the system type, the AI agents market is divided into single agent system, and multi agent system. The multi-agent system (MAS) is the industry leader for AI agents as it can solve complicated issues by coordinating and cooperating with several agents, which makes it perfect for dynamic situations.

The second-dominant form is the single-agent system, mostly owing to its ease of use and efficiency in situations when duties are simple and don't call for cooperation.

By Technology:

Machine learning, deep learning, natural language processing (NLP), and others are technology of the AI Agents Market. Since it gives most AI agents the ability to learn from data, get better over time, and make predictions or judgments on their own, machine learning (ML) commands the highest market share in the AI agent industry.

The growing need for conversational AI, chatbots, and virtual assistants has made natural language processing (NLP) the second most popular technology, especially in the market for AI agents.

By Application:

Customer service and support, cyber security monitoring and threat response, marketing & sales automation, IT and development, supply chain optimization, and others are applications of the market. Due in large part to the increasing demand for AI-powered chatbots and virtual assistants that can manage massive volumes of client inquiries, provide round-the-clock help, and lower operating costs, customer service and support now hold the biggest market share in the AI agent market.

The second most popular use case is marketing and sales automation, where AI agents assist companies in automating customer segmentation, lead creation, and customized marketing campaigns.

By End-User:

BFSI, healthcare & life sciences, retail & e-commerce, IT & telecommunications, manufacturing, and others are end users of the AI agents market. The AI agents market is highest in the BFSI (Banking, Retail & E-commerce, and Insurance) sector since AI is widely used for tasks including risk assessment, fraud detection, customer care, and tailored Retail & E-commerce.

The second-largest contribution to the market is the healthcare sector. Strong EUC solutions are required to guarantee safe and effective access to patient data as telemedicine, electronic health records (EHRs), and other cutting-edge technologies become more widely used.

Regional Insights:

Geographically, the AI agents market is studied across North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa.

North America:

The AI agents market is dominated by North America due to its sophisticated technological infrastructure, significant investment in AI R&D, and presence of giant tech firms including Google, Microsoft, and IBM. North America is positioned as a leader in the deployment of AI agents due to the region's robust adoption of AI across a range of industries, including BFSI, healthcare, and retail, as well as support from the government and accessible trained labor.

• U.S. AI Agents Market Insights:

Due to its technological leadership, large investments in AI research, and the existence of big AI-driven corporations consisting of Google, Amazon, Microsoft, and IBM, the U.S. leads the AI agents market growth.

Europe:

Due to robust legal frameworks that include GDPR that prioritize data privacy and ethics in AI deployment, as well as the growing digital transformation occurring in industries that include manufacturing, healthcare, and retail, Europe is currently the second-dominant area. Europe's expanding number of AI companies and emphasis on developing ethical AI further drive market expansion in this region.

• U.K. AI Agents Market Insights:

The U.K. has the biggest market share for this reason its sophisticated AI ecosystem, emphasis on digital transformation, and expanding use of AI agents in sectors including retail, healthcare, and finance.

Asia Pacific:

Government programs, private sector innovation, and growing industry usage are some of the drivers driving the Asia Pacific AI agents market notable expansion. To take the lead in the global AI race, nations notably China, India, Singapore, and South Korea have established national AI strategies and made significant investments in AI research and development.

• China AI Agents Market Insights:

With its "New Generation AI Development Plan" and significant private sector participation from firms notably Baidu and Xiaomi, China is leading the market in particular and propelling AI breakthroughs.

AI Agents Market Report Scope:

Attribute	Details
Market Size 2025	USD 7.8 Billion
Projected Market Size 2035	USD 243.7 Billion
CAGR Growth Rate	45.9% (2025-2035)
Base year for estimation	2024
Forecast period	2025 – 2035
Market representation	Revenue in USD Billion & CAGR from 2025 to 2035
Regional scope	North America - U.S. and Canada Europe – Germany, U.K., France, Russia, Italy, Spain, Netherlands, and Rest of Europe Asia Pacific – China, India, Japan, Australia, Indonesia, Malaysia, South Korea, and Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, and Rest of Latin America Middle East & Africa – GCC, Israel, South Africa, and Rest of Middle East & Africa
Report coverage	Revenue forecast, company share, competitive landscape, growth factors, and trends

Segmentation:

By Agents Type:

• Reactive Agents
• Proactive Agents
• Hybrid Agents
• Utility-Based Agents
• Learning Agents
• Others

By System Type:

• Single Agent System
• Multi Agent System

By Technology:

• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Others

By Application:

• Customer Service and Support
• Cyber security Monitoring and Threat Response
• Marketing & Sales Automation
• IT and Development
• Supply Chain Optimization
• Others

By End User:

• BFSI
• Healthcare & Life Sciences
• Retail & E-commerce
• IT & Telecommunications
• Manufacturing
• Others

By Region:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • U.K.
  • France
  • Russia
  • Italy
  • Spain
  • Netherlands
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • Indonesia
  • Malaysia
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • Israel
  • South Africa
  • Rest of Middle East & Africa

The key players operating in the AI agents market include, Google, Microsoft, Altair Engineering Inc., Salesforce, Inc., Oracle, and others. In order to stay ahead of the competition, AI agent firms will need to prioritize continual innovation by developing machine learning, natural language processing, and multi-agent system capabilities. Scalability and personalization will be essential, as businesses create AI agents that can adjust to various user requirements and industries, providing specialized solutions for enterprise automation, healthcare, and customer support.

AI Agents Market Companies:

• Google
• Microsoft
• OpenAI
• Apple Inc.
• Salesforce, Inc.
• Oracle
• NVIDIA AI
• Amazon Web Services, Inc.
• Altair Engineering Inc.
• SAP SE
• Adobe
• ServiceNow
• IBM
• Anthropic PBC
• Zendesk

View an Additional List of Companies in the AI Agents Market

• In May 2025, the first verified AI agents for regulated businesses were released, according to Ketryx. The design, development, and launch of novel goods by highly regulated corporations will be revolutionized by this industry-first set of verified agents. For safety-critical decision-making, Ketryx's risk-based agents ensure human-in-the-loop oversight, allowing regulated teams to use AI to create paperwork and expedite product delivery.
• In May 2025, Cloud of customer data the "Identity Resolution Agent," an AI-powered technology that unifies client profiles, was introduced by Amperity. Instead of taking months, the tool allows business brands instantly combine disparate customer data.
• In April 2025, in response to the demand for AI-first autonomous banking, BusinessNext has introduced Service AI agents. According to BusinessNext's report, 63% of top bankers in India intend to use AI agents by 2025. In a similar vein, it referenced a Deloitte survey that stated that 80% of Indian organizations are investigating the creation of autonomous agents.
• In April 2025, UiPath, a global leader in agentic automation, today launched its next-generation UiPath Platform for agentic automation, a groundbreaking platform designed to unify AI agents, robots, and people on a single intelligent system. With open and secure orchestration at its core, the platform transforms workflows by enabling the creation, deployment, and management of highly reliable AI agents, robots and people with unmatched scalability, flexibility, and compliance.

Analyst View:

In conclusion, the AI agents market is expanding quickly due to developments in automation, machine learning, and natural language processing. As companies in a variety of sectors are looking to use AI-powered solutions to streamline operations, cut expenses, and improve customer satisfaction. Emerging generative AI, self-governing agents that can do intricate tasks, and the growing availability of low-code/no-code platforms for AI development are some of the major trends. As AI agents' applications grow in industries including healthcare, finance, retail, and cyber security, they are playing a crucial role in digital transformation initiatives by providing scalable, flexible, and intelligent solutions for a variety of business requirements.

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Company Name	Google
Headquarter	Mountain View, California, U.S.
CEO	Sundar Pichai
Employee Count	182,502 Employees