AI Agents Market Size - By Agent, By Technology, By Deployment Mode, By Application, By End Use, Growth Forecast, 2025 - 2034

AI Agents Market Size

The global AI agents market size was estimated at USD 5.9 billion in 2024. The market is expected to grow from USD 7.7 billion in 2025 to USD 105.6 billion in 2034, at a CAGR of 38.5%.

• The rapid evolution of AI agents platforms is shifting training from a technical task to a core strategic capability. Cross-functional abilities in design and implementation are essential as LLMs, NLP, and orchestration take center stage. Nowadays, creativity and efficiency are mostly driven by continuous learning.
   
• Public-private efforts are boosting AI agents skills. In March 2024, ServiceNow and Skills Future introduced a national certification in Singapore. Additionally, platforms such as AWS and Google Cloud are growing their business-oriented, hands-on training programs.
   
• The AI agents market was valued at USD 2.7 billion in 2021 and is expected to grow to 32 billion by 2030. This growth reflects a shift from isolated automation pilots to enterprise-wide deployment strategies across industries such as BFSI, healthcare, and retail, which demanded trained, certified professionals.
   
• Platform-specific training is driving the AI agents market, as companies prioritize certified professionals in tools like Google Dialogflow and Amazon Lex. Consistent performance, compliance, and safe integration are guaranteed by these certifications. Having platform-trained teams is essential for ensuring reliable scaling as AI Agent become more integrated into corporate operations.
   
• Citizen developer and role-based training are making AI agents creation more accessible across teams. In January 2024, Automation Anywhere launched the Citizen Developer Career Quest to assist non-technical staff in creating Agent using non-core technologies. Tasks can now be automated independently by departments like finance and human resources.
   
• North America remains the front-runner in the AI agents market, supported by a strong automation ecosystem and deep institutional ties. For instance, in January 2025, OpenAI introduced Operator, a browser-based AI agent that can perform tasks like scheduling and form-filling independently. The release demonstrates the region's drive for skill alignment and real-world, agent-first innovation.
   
• Asia-Pacific is the fastest-growing AI agents market. For instance, in April 2025, Microsoft reported that more than half of world leaders automate critical activities with Agents. This is being enhanced by nations like Singapore and India through effective cooperation and training.
   

AI Agents Market Trends

• In developing countries, access is being expanded through government-backed AI skilling efforts. In June-2025, the Indian government of Odisha launched its AI Policy 2025, which aims to integrate AI education in schools and train 8,000 residents annually, creating the foundation for future AI agent creation skills starting at the school level.
   
• To help organizations identify and validate talent in agent design and deployment, In May 2025, Google Cloud started its Gen AI Academy in India. Currently, over 220,000 students are registered in courses like Vertex AI prompt engineering and Generative AI Leader certification.
   
• Multi-agent orchestration is making it easier for developers to build complex workflows. In March 2025, AWS made a multi-agent collaboration with Bedrock Agent broadly available, helping teams at companies like Moody's able to accelerate processes like risk analysis. The need for orchestration, governance, and debugging training is rising due to this change.
   
• AI Agent are being transformed via LLM-driven orchestration. In January 2025, OpenAI introduced Operator, a browser-based agent that manages tasks like scheduling independently. Training is changing to emphasize logic, context, and real-time behaviors as this move toward autonomous, web-savvy Agent, widespread enterprise adoption is anticipated by 2026.
   
• The use of modular, low-code Agent is promoting inclusive upskills. In November 2024, Microsoft Copilot Studio was released, with its drag-and-drop features, to assist both tech and non-tech users in creating Agent. Training will continue to be led by this role-based learning strategy until 2027.
   
• AI certifications are becoming increasingly important for employment and career development. In September 2024, Salesforce offered its AI certificates for free, which resulted in more than 2.6 million completions. These badges are becoming more significant in recruitment and promotions as Agent become central to business tools.
   
• AI agents are evolving from task-specific bots to autonomous, multi-modal collaborators across business functions. Agents are increasingly assisting complex workflows in domains including operations, human resources, and support due to their increasing reasoning, orchestration, and real-time interaction capabilities. Through 2027, this trend is anticipated to completely rethink enterprise automation and digital productivity.
   

AI Agents Market Analysis

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Based on agents, the AI agents market is divided into conversational agent, autonomous agent, embodied ai agent, multi-agent systems and task execution Agent. The conversational agent segment dominated the market accounting for around 44% in 2024 and is expected to grow at a CAGR of over 41% through 2034.
 

• Conversational agent is leading the AI agents market in 2024. Chatbots and virtual assistants are used by businesses to improve knowledge sharing, onboarding, and customer support. Modular courses on intent detection, dialogue flow, and context handling are now available on training platforms.
   
• Autonomous agents are gaining traction, especially in areas such as monitoring, predictive maintenance, and adaptive control systems. This segment's training focuses on integrating reinforcement learning with machine learning. Using lab dashboards and sandboxed simulations, enterprises use self-paced training environments where students create agents that can anticipate anomalies and act without human intervention.
   
• Conversational agents continue to lead the AI Agent market due to their ease of use, fast deployment, and strong enterprise adoption, especially in customer service and internal support. Simultaneously, embodied Agent and multi-agent systems are expanding due to more complex use cases in sectors like defense and logistics, which call for practical, simulation-based training for mobility and teamwork.
   
• For instance, in July 2024, Verizon integrated Google Cloud’s conversational AI into its customer service operations, deploying Gemini-powered virtual assistants trained on more than 15,000 internal documents. By early 2025, 28,000 Agent had used the system, which led to a 40% increase in revenue and a decrease in average call handling times.
   
• Conversational, autonomous, and embodied AI agents make up over 55% of the market, highlighting their key role in business automation. underscoring their pivotal role in driving business automation. These agents enable real-time decision-making, human-like interaction, and task execution across industries, making them essential for improving efficiency, enhancing user experience, and reducing operational costs.

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Based on technology, the AI agents market is segmented into natural language processing (NLP), machine learning (ML) & deep learning, reinforcement learning (RL), computer vision, Speech recognition & generation, and large language models (LLMs). The natural language processing (NLP) segment dominates the market with 38% share in 2024, and the segment is expected to grow at a CAGR of over 43% from 2025 to 2034.
 

• Natural language processing (NLP) segment is fueled by demand for multilingual, context-aware chatbots and assistants. For instance, in May 2024, the Generative AI Credential Series was launched to certify users in a variety of positions, increasing the usage of NLP in industries including retail, banking, and government.
   
• Machine learning (ML) & deep learning and reinforcement learning (RL) are making AI agents more adaptive across sectors like banking, retail, logistics, and robotics. Over time, these technologies assist Agent in seeing trends, learning from feedback, and improving their decision-making. They are facilitating task execution in dynamic contexts, intelligent automation, and real-time customization. Consequently, the development of intelligent agent behavior is increasingly reliant on ML and RL.
   
• For instance, in March 2024, Waymo announced it uses RL to process millions of simulated miles annually. Self-driving car safety and real-time driving judgments are enhanced by these simulations. Waymo's Agent can constantly adjust to new road conditions because of the application of reinforcement learning. This demonstrates how reinforcement learning facilitates risky, practical AI applications.
   
• Computer vision adoption is growing as businesses integrate visual intelligence into AI Agent for tasks like quality control, inventory checks, and facial recognition. Real-time image and video processing by these Agent allows for quicker and more precise decision-making. The industries driving adoption are manufacturing, retail, and healthcare. The need for vision-enabled bots is growing as visual data becomes increasingly crucial.
   
• Speech recognition & generation, reinforcement learning (RL) and large language models (LLMs) are key enablers of intelligent, conversational AI agents. These technologies enable agents to perform intricate, multi-step activities, comprehend voice directions, and produce replies that resemble those of a human. In industries including enterprise operations, healthcare, and customer service, adoption is speeding up. Training is concentrating on multilingual accuracy, safety, and contextual fluency as capabilities increase.
   

Based on deployment mode, the market is segmented into cloud-based, on-premises, and edge computing integration. The cloud-based segment is expected to dominate as the ability to train thousands of employees across varying technical backgrounds, languages, and regulatory environments demands scalable, secure, and customizable training solutions.
 

• Cloud-based deployment leads the AI Agents market due to its scalability, flexibility, and ease of integration. It enables companies to manage, update, and activate Agent across international operations in a timely manner. Cross-team cooperation and quicker innovation are facilitated by centralized infrastructure. Cloud continues to be the favored option for agent deployment as businesses place a higher priority on speed and security.
   
• For instance, in June 2025, Commonwealth Bank of Australia launched CommBiz Gen AI using AWS, deploying over 2,000 AI models in just six weeks. A cloud-based Agent for internal operations and customer support was part of the implementation. This quick scale-up demonstrated how the cloud may be used to construct secure, enterprise-ready Agent. It illustrates how big organizations are using the cloud to increase their reach and agility.
   
• On-premises AI agents are preferred in sectors like government, healthcare, and finance where data privacy, regulatory compliance, or low-latency processing is critical. These implementations give businesses complete command over private data and system functionality. They are perfect for high-security settings, but they are less adaptable than the cloud. Where data governance is unavoidable, adoption is constant.
   
• For instance, in May 2025, Dell and Cohere launched Cohere North on Dell AI Factory, an on-premise agentic AI solution tailored for financial and enterprise users. It allows for the building of scalable Agent while preserving data in local infrastructure. This configuration preserves AI innovation while meeting regulatory requirements. The collaboration is a response to the increasing need for safe, adaptable AI implementations.
   
• Edge AI agents, accounting for 10% of the AI agents deployment market in 2024, are becoming more popular, particularly in real-time and low-latency applications. These agents operate locally on gadgets used for remote monitoring, industrial machinery, and driverless cars, and updates are sent via over-the-air patches.

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US dominated the AI agents market in North America with around 77% share in 2024 and generated USD 2.2 billion in revenue.
 

• The US remains a dominant force in the AI agents market, fueled by a robust digital infrastructure, widespread enterprise AI adoption, and strong innovation ecosystems. With high penetration of cloud services, advanced machine learning platforms, and a tech-savvy consumer base, American businesses and users actively engage with AI-driven solutions for communication, automation, and decision-making.
   
• For instance, in October 2024, Google Cloud hosted Agent Developer Days at various tech hubs in the United States, providing practical instruction in multi-agent design with Vertex AI Agent Builder. These programs demonstrate how businesses are giving practical AI agent capabilities top priority to scale automation.
   
• Canada accounted for roughly 23% of the North American AI Agent market in 2024, with an expected CAGR of over 41% from 2025 to 2034. Ethical and inclusive agents deployment across industries is being promoted by national initiatives like CIFAR's Pan-Canadian AI Initiative. Funding for agent-centric education and innovation in municipal services and public health is part of this.
   
• The US leads the AI Agents market with a strong foundation of tech giants, AI startups, and cloud infrastructure. Teams are finding it easier to design Agent because of tools like Vertex AI Agent Builder and Copilot Studio. In response to the growing demand, academic institutions and businesses are implementing agent-focused programs. The United States continues to set the standard for the deployment of AI Agent worldwide due to its highly qualified workforce and innovative atmosphere.
   

The AI agents market in China is expected to experience significant and promising growth from 2025 to 2034.
 

• Asia Pacific accounts for around 20% of the AI agents market and is the fastest-growing region with a CAGR of nearly 35%. Rapid enterprise automation, robust government skilling initiatives, and an increasing number of digital-first customers are the main drivers of growth. Adoption in business and public services is being led by countries like Indonesia and India.
   
• China's AI agents market is surging, fueled by a digitally-savvy populace and the country's assertive embrace of cutting-edge technologies. Bolstered by robust government backing, a predominantly mobile user base, and an abundance of data, China is deploying AI agents across diverse sectors, including finance, healthcare, manufacturing, and public services. These agents are not just tools; they're becoming integral to daily operations and consumer interactions, evolving from mere virtual assistants to fully autonomous service robots.
   
• China is building a strong talent pipeline through university partnerships and government-backed AI training increase real-time efficiency, local businesses are utilizing Agent in e-commerce, logistics, and smart cities. China's influence on the development of intelligent Agent is being solidified by this emphasis on localized innovation.
   
• For instance, in March 2025, Baidu launched a national training initiative with Tsinghua University, aiming to upskill 10,000 professionals in AI agents development using its ERNIE Bot Agent Builder. The program's emphasis on role-based training, multi-agent collaboration, and secure deployment demonstrates China's goal of developing an independent talent pool for AI adoption.
   
• India and Japan will drive the growth of the AI agents market in Asia Pacific. India will leverage its large digital population and initiatives like Digital India to implement AI agents in multilingual support, process automation, and conversational AI across e-commerce, finance, and public services. Japan will utilize its advanced technology to deploy AI agents in robotics, smart manufacturing, and automated services. Both countries will focus on enhancing user engagement, operational efficiency, and localized experiences.
   

The AI agents market in Germany is expected to experience significant and promising growth from 2025 to 2034.
 

• Europe holds the third largest share in the AI agents market, growing at a steady pace with around 35% CAGR. Demand for safe, compliant AI agent deployments is being driven by the region's stringent data protection regulations, such as GDPR. Enterprise adoption and talent development are being further accelerated by public funding and business digitalization initiatives.
   
• Germany is emerging as a key player in the AI agents market, supported by strong industrial automation and digital-first public services. Businesses are using Agent for internal operations, regulatory reporting, and customer service. The country is a center for explainable and responsible agent innovation because of its emphasis on trusted AI.
   
• In June 2025, Deutsche Telekom and NVIDIA launched Europe’s first sovereign industrial AI cloud in Germany, supporting secure, scalable AI agents deployment. The program, which focuses on manufacturing and enterprise applications, reflects Germany's drive for high-performance, compatible AI infrastructure.
   
• France is emerging as a key player in the AI agents market, supported by national strategies focused on ethical AI, digital sovereignty, and public service innovation. AI Agent are being used in healthcare, education, and government portals to automate tasks and provide multilingual support. The deployment of agents in regulated areas is being shaped by investments in human-in-the-loop design and explainable AI.
   
• The Netherlands is advancing AI agents adoption across logistics, finance, and public services. For instance, in May 2025, Amsterdam launched ChatAmsterdam, a secure AI assistant, used by more than 800 civil servants to prepare and summarize documents. This demonstrates the nation's emphasis on using trusted Agent in a practical manner.
   

The AI agents market in UAE is expected to experience significant and promising growth from 2025 to 2034.
 

• MEA holds a growing share of the market, expanding to a CAGR of around 27% from 2025 to 2034. National AI strategies, digital government programs, and growing enterprise automation in Gulf countries are driving growth. AI Agent are being used in infrastructure, banking, and public services by nations like Saudi Arabia and the United Arab Emirates. Broader adoption is hampered by infrastructure deficiencies and a lack of talent in some African countries.
   
• The UAE leads MEA in AI agents innovation, driven by Vision 2031 and smart city investments. For instance, in March 2025, the Dubai Digital Authority trained more than 1,500 employees and deployed agents to resolve traffic fines, permits, and visas in collaboration with Microsoft and OpenAI. This illustrates the country's drive towards AI-powered public service delivery and governance.
   
• The private sector in the UAE is rapidly expanding its usage of AI agents. In March 2025, Emirates NBD, by utilizing Google Vertex AI, trained workers on secure integration and improved fraud monitoring and customer service. Demand for practical training increased while Etisalat and ADNOC began testing edge Agent for remote monitoring.
   
• Saudi Arabia and South Africa are becoming key adopters in the AI Agent market.  In keeping with Vision 2030, Saudi Arabia is using AI Agent to automate government functions, especially in the areas of healthcare and smart city planning. Businesses in South Africa are using Agent for operations and customer service as the need for safe, cloud-based, and multilingual solutions increases.
   
• Egypt, Kenya, and Nigeria are exploring AI Agent for financial services, education, and public administration. Low-code Agent are being piloted by startups and government organizations to expedite service access as mobile-first populations grow. Building local talent and scaling solutions that function in both urban and rural settings are the main goals.
   

The AI agents market in Brazil is expected to experience significant and promising growth from 2025 to 2034.
 

• Latin America accounted for around 31% of the market in 2024, fueled by rising automation needs across finance, retail, and government services. Growing cloud use and the need for affordable, multilingual solutions fuel growth. However, full-scale deployment is constrained by disparities in skill and AI infrastructure in rural areas.
   
• Brazil is advancing AI agents deployment with strong government and enterprise backing. To lower legal expenses and boost productivity, In June 2024, the government teamed up with OpenAI through Microsoft Azure to employ AI bots for case analysis.
   
• Brazil’s private sector is embracing multi-agent systems for automation. In early 2025, Itau Unibanco deployed Amazon Bedrock and Claude to expedite compliance and loan processing. To guarantee safe, efficient agent use throughout operations, more than 1,200 employees received training.
   
• Mexico and Colombia are gaining traction in the AI agents market, driven by automation needs in banking, telecom, and customer service.  Adoption is being fueled by support from startups and digital programs, while institutions are promoting agent skills through certifications and boot camps.
   
• In Argentina, Chile, and Peru, early adoption is taking root through public sector trials, small business deployments, and tech incubators.  AI agents are being investigated for use in healthcare support, e-commerce automation, and municipal services. Cloud-enabled, lightweight platforms are becoming more popular, especially those with low latency and Spanish interfaces for use in rural locations.
   

AI Agents Market Share

• The top 7 companies in the AI agent industry are Amazon, Anthropic, Google, IBM (Watson), Meta, Microsoft, and OpenAI contributing around 56% of the market in 2024.
   
• Amazon is driving AI agents growth with Bedrock Agent and Lex, helping enterprises build secure, scalable Agent for complex tasks. Strong data controls and deep AWS integration make it a reliable option for high-stakes industries like healthcare, shipping, and finance.
   
• Anthropic is emerging as a key player in the AI agents market with its Claude-powered APIs and strong focus on safety and reliability. It is well-liked in enterprise tech, legal, and finance because of its developer-friendly tools that facilitate multi-agent architecture and secure deployment.
   
• Google, the second leading player, continues to be a powerful force with products like Dialogflow CX and Vertex AI Agent Builder, which provide enterprise-level multi-agent and conversational experiences. By providing built-in security and linguistic support, Google maintains its strong position in the market while meeting the expectations of a variety of industries, including retail, banking, and public services.
   
• IBM stands out with Watsonx Assistant, a no-code platform designed for regulated sectors. It facilitates the safe and transparent usage of AI agents with features like audit trails, role-based access, and pre-trained intents, supported by recent advancements in speech AI and industry-specific tools.
   
• Meta is an expanding AI agent across Messenger, WhatsApp, and Workplace for tasks like scheduling and FAQs. Meta is extending AI agents across Workplace, WhatsApp, and Messenger. In April 2024, it introduced Meta AI on WhatsApp in a few areas. With more than 3 billion users, it will grow internationally. Smarter, more tailored interactions will be the main emphasis of future growth.
   
• Microsoft is now the third leading player in the AI Agent industry, backed by Copilot Studio and extensive interaction with Microsoft 365. Businesses are adopting Copilot to build Agent for HR, support, and operations, recognizing its trusted, low-code tools and scalability.
   
• OpenAI is the market leader, defining next-generation conversational and autonomous Agent with its GPT-series and Agent APIs. Through embedded agent features and bespoke GPTs, the company keeps growing its platform and gaining acceptance with developers and businesses. It is firmly in the forefront of agent-first design and capabilities because to its continuous innovation.
   

AI Agents Market Companies

Major players operating in the AI agent industry are:

• Amazon
• Anthropic
• Automation Anywhere
• Google
• IBM (Watson)
• Meta
• Microsoft
• NVIDIA
• OpenAI
• UiPath
   
• Amazon and Anthropic are key players in AI agents development. Safe, scalable multi-step processes integrated with AWS services are made possible by Amazon's Bedrock Agent and Lex, while Anthropic provides developer-friendly tools and Claude-powered APIs. Trust, compliance, and real-time deployment for enterprise use are prioritized by both businesses.
   
• Google and IBM focus on enterprise-ready AI agents with strong governance. Building scalable conversational Agent is made easier by Google's Vertex AI Agent Builder and Dialogflow CX, while IBM's Watsonx Assistant provides secure, no-code solutions designed for regulated industries. Both place a strong emphasis on auditability, compliance, and industry-specific skills to satisfy intricate business requirements.
   
• Meta and Microsoft are expanding their AI agents presence in communication and productivity. To improve internal workflows and customer engagement, Meta incorporates LLM-powered assistants into Workplace, WhatsApp, and Messenger. Microsoft uses Copilot Studio, a low-code tool in Microsoft 365, to create scalable Agent for operations, support, and human resources. Both emphasize wide user reach and smooth integration.
   
• OpenAI is driving AI agents innovation with its GPT models and Operator platform, enabling developers to build customizable, task-specific Agent using memory, tools, and APIs. Its intuitive user interfaces facilitate quick adoption in sectors like operations and customer service. Businesses are finding it easier to incorporate AI Agent into their workflows thanks to OpenAI's emphasis on scalability and flexibility.
   

AI Agent Industry News

• In May 2025, Microsoft launched Agent 101/AI agent Hackathon via its Reactor network, offering hands-on training in 365 integration and multi-agent teamwork. Developers and business teams were really interested in it. The project backs Microsoft's goal of making 2025 the "year of AI Agent."
   
• In April 2025, at Google Cloud Next, Alphabet unveiled the Agent2Agent protocol and Agentspace toolkit for secure, multi-agent collaboration. Supported by 50+ partners, it aims for practical implementation. A significant step toward scalable, cross-platform agent systems has been taken with the launch.
   
• In January 2025, SoftBank and OpenAI launched SB OpenAI Japan, a joint venture to boost AI agent use across SoftBank companies. The company's first project, "Cristal Intelligence," aims to increase employee productivity and will train 1,000 staff members. This underscores Japan's increasing emphasis on enterprise AI adoption.
   
• In November 2024, Orange partnered with OpenAI in a multi-year deal to enhance business efficiency and customer service. More than 50,000 employees throughout Europe were given access to ChatGPT Enterprise and other tools.
   
• In October 2024, Google Cloud launched Vertex AI agent Builder in public preview at Cloud Next. Even without extensive technical knowledge, businesses can use their own data to create conversational bots with the low-code platform. It underlines Google’s aim to make enterprise AI tools more accessible and realistic.
   

The AI agents market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Mn) from 2021 to 2034, for the following segments:

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Market, By Agent

• Conversational agents
• Autonomous agents
• Embodied AI agents
• Multi-agent systems
• Task execution agents

Market, By Technology

• Natural language processing (NLP)               
• Machine learning (ML) & deep learning                   
• Reinforcement learning (RL)             
• Computer vision                     
• Speech recognition & generation                  
• Large language models (LLMs)                      

Market, By Deployment Mode

• Cloud-based   
• On-premise    
• Edge computing integration  

Market, By Application

• Customer service & support
• Process automation
• Personal assistants
• Healthcare
• Education & E-learning
• Finance
• E-commerce & retail
• Media & entertainment
• Cybersecurity
• Autonomous vehicles & robotics

Market, By End Use   

• Healthcare and life sciences  
• Banking, financial services, and insurance (BFSI)      
• Retail and consumer goods   
• Manufacturing and automotive         
• Technology and telecommunications
• Government and public sector          
• Education and research         
• Media and entertainment                             

The above information is provided for the following regions and countries:

• North America
  • US
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ANZ
  • Philippines
  • Vietnam
  • Indonesia
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • UAE
  • Saudi Arabia
  • South Africa