Global AI Agents Market Size, Share & Trends Analysis Report By System (Single Agent Systems and Multi Agent Systems), By Type, By End-use, By Technology, By Application, By Regional Outlook and Forecast, 2024 - 2031

The Global AI Agents Market size is expected to reach $62.18 billion by 2031, rising at a market growth of 43.8% CAGR during the forecast period.

AI agents have assisted healthcare professionals with diagnostic support, patient monitoring, treatment planning, and administrative tasks. Virtual health assistants, symptom checkers, and AI-driven telemedicine platforms have seen increased adoption, especially following the COVID-19 pandemic, highlighting the need for scalable and remote healthcare solutions. Consequently, the healthcare segment acquired 13% revenue share in the market in 2023. AI agents are also being utilized for drug discovery, personalized medicine, and predictive analytics, further solidifying their role in transforming healthcare delivery.

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 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. Additionally, In December, 2024, Meta Platforms, Inc. and Oracle partner to enhance AI development using Oracle Cloud. The collaboration aims to improve AI Agents across Meta’s platforms, including Instagram and Facebook, by advancing real-time AI applications, machine learning, and personalized tools, setting new standards in AI innovation.

Based on the Analysis presented in the KBV Cardinal matrix; Apple, Inc., Google LLC, Amazon Web Services, Inc. and Microsoft Corporation are the forerunners in the AI Agents Market. In February, 2025, Apple, Inc. is partnering with Alibaba to integrate Qwen AI models into iPhones in China, enabling AI-powered features. This move supports Chinese developers, boosts Apple’s local market prospects, and aligns with regulatory requirements, amid competition from Huawei and Xiaomi. Companies such as Meta Platforms, Inc. and NVIDIA Corporation are some of the key innovators in AI Agents Market.

Market Growth Factors

Cost savings are another critical benefit driving the demand for automation. Artificial intelligence (AI) agents can significantly lower labor costs related to repetitive operations and assist companies in reducing overhead expenditure. Small and medium-sized businesses (SMEs), who might not have the funds to hire huge teams but still need good operational support, will find this cost-effectiveness especially alluring. In addition to cost and efficiency gains, AI agents provide businesses with the agility to scale operations seamlessly. Hence, these factors will support the expansion of the market.

Beyond smart homes and industries, AI-integrated IoT ecosystems are impacting sectors like smart cities, healthcare, and agriculture. In urban environments, AI agents manage traffic flow, monitor air quality, and optimize energy consumption, enhancing city living standards. IoT-enabled wearables provide real-time patient data to AI agents in healthcare, improving diagnostics and personalized care. In agriculture, AI agents analyze data from IoT sensors to optimize irrigation, monitor crop health, and boost yields. This widespread integration fosters more intelligent, efficient, and connected ecosystems, driving innovation across multiple sectors. Thus, these developments will aid in the expansion of the market.

Market Restraining Factors

Accountability also plays a crucial role in fostering trust in AI agents. When an AI system errs or hurts someone, users frequently wonder who is to blame. In traditional human-led processes, accountability is usually clear, but the lines can become blurred with AI. Should the blame lie with the developers, the data scientists, or the organization deploying the AI? This ambiguity can deter users and organizations from fully embracing AI solutions, fearing potential legal or ethical repercussions. Thus, algorithm aversion and trust remain key factors hindering the market's expansion.

Technology Outlook

Based on technology, the market is classified into machine learning, natural language processing (NLP), deep learning, computer vision, and others. The natural language processing (NLP) segment procured 25% revenue share in the market in 2023. The growing demand for AI agents capable of understanding and interacting with human language fueled the segment's growth. NLP technologies have become integral to applications like chatbots, virtual assistants, sentiment analysis, and language translation services. With the surge in remote work and digital communication during and post-COVID-19, businesses increasingly relied on NLP-powered AI agents to enhance customer engagement, streamline communication, and automate routine tasks. Advancements in NLP models, such as transformer-based architectures (e.g., BERT, GPT), significantly improved language comprehension and generation, further boosting the adoption of NLP-driven AI agents.

System Outlook

On the basis of system, the market is bifurcated into single agent systems and multi agent systems. The single agent systems segment acquired 61% revenue share in the market in 2023. Single agent systems are designed to operate independently, focusing on specific tasks or objectives without requiring collaboration with other agents. These systems are widely used in applications like chatbots, virtual assistants, recommendation engines, and automated customer service solutions, where individual agents can effectively interact with users and complete defined tasks. The simplicity, cost-effectiveness, and ease of deployment of single agent systems make them highly appealing to businesses across retail, healthcare, finance, and customer service sectors.

Type Outlook

By type, the market is divided into ready-to-deploy agents and build-your-own agents. The build-your-own agents segment garnered 35% revenue share in the market in 2023. Build-your-own agents allow organizations to design and develop AI agents tailored to their needs, workflows, and business objectives. This approach is particularly favored by large enterprises and specialized industries where off-the-shelf solutions may not meet complex requirements. Sectors like manufacturing, logistics, finance, and healthcare leverage build-your-own agents for tasks such as predictive analytics, intelligent automation, and bespoke virtual assistants.

Application Outlook

Based on application, the market is segmented into customer service & virtual assistants, robotics & automation, healthcare, financial services, security & surveillance, gaming & entertainment, marketing & sales, human resources, and others. The customer service & virtual assistants segment procured 21% revenue share in the market in 2023. Businesses across retail, telecommunications, and banking sectors have widely adopted AI agents to enhance customer interactions, streamline support processes, and reduce operational costs. Virtual assistants and chatbots equipped with natural language processing (NLP) capabilities enable businesses to handle high customer inquiries, offer 24/7 support, and improve response times.

End-use Outlook

On the basis of end-use, the market is classified into consumer, enterprise, and industrial. The enterprise segment garnered 48% revenue share in the market in 2023. Enterprises across finance, healthcare, retail, and telecommunications increasingly leverage AI agents to optimize operations, enhance customer engagement, and drive data-driven decision-making. AI-powered virtual assistants, chatbots, and automated workflows have become standard tools for improving efficiency and reducing operational costs. In addition, enterprises use AI agents for advanced analytics, supply chain optimization, fraud detection, and customer relationship management. The enterprise sector's adoption of AI agents has been substantially encouraged by the increasing emphasis on digital transformation and the necessity for cost-effective and scalable solutions.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment acquired 39% revenue share in the market in 2023. Its strong technological infrastructure, high adoption rates, and significant AI research and development investments drive the regional market. The United States, in particular, serves as a global hub for AI innovation, with major tech companies such as Google, Microsoft, IBM, and Amazon leading advancements in AI agents. The region has seen extensive adoption of AI agents across industries, including finance, healthcare, retail, and customer service, where chatbots, virtual assistants, and automated workflows have become mainstream.

Recent Strategies Deployed in the Market

• Jan-2025: Google LLC and Mercedes-Benz partners to integrate AI-powered conversational search into its MBUX Virtual Assistant. Using Google’s Automotive AI Agent, drivers can access real-time navigation and personalized recommendations via natural-language interactions. The feature debuts in the new CLA series later this year.
• Dec-2024: Amazon Web Services, Inc. and Genpact announced a multi-year collaboration to accelerate AI adoption across industries, empowering business leaders with AI-driven insights. The partnership aims to democratize AI, modernize operations, and enhance industry-specific solutions, leveraging Genpact’s expertise and AWS’s advanced cloud technologies.
• Sep-2024: IBM Corporation and Salesforce are partnering to enhance AI-powered autonomous agents for sales, services, and regulated industries. By integrating Agentforce with IBM watsonx, they enable AI-driven automation, data integration, and decision-making, improving productivity, efficiency, and customer interactions across various enterprise applications.
• Jul-2024: Amazon Web Services, Inc. and Anthropic in partnership with Palantir are bringing Claude AI models to U.S. government intelligence and defense operations. This integration enhances data analysis, decision-making, and operational efficiency, leveraging Palantir’s AI Platform (AIP) and AWS’s secure cloud infrastructure.
• May-2024: Google LLC and CrowdStrike expand their partnership to enhance Mandiant’s Incident Response and Managed Detection services using AI-powered security solutions. The collaboration integrates CrowdStrike Falcon with Google Cloud’s Security Operations platform, improving threat detection, response, and cybersecurity across multi-cloud environments.

List of Key Companies Profiled

• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Apple, Inc.
• Baidu, Inc.
• Meta Platforms, Inc.
• Alibaba Cloud (Alibaba Group Holding Limited)
• Google LLC
• IBM Corporation
• Microsoft Corporation
• NVIDIA Corporation
• Salesforce, Inc.

Global AI Agents Market Report Segmentation

By System

• Single Agent Systems
• Multi Agent Systems

By Type

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

By End-use

• Enterprise
• Consumer
• Industrial

By Technology

• Machine Learning
• Natural Language Processing (NLP)
• Deep Learning
• Computer Vision
• Other Technology

By Application

• Customer Service and Virtual Assistants
• Robotics & Automation
• Healthcare
• Financial Services
• Security & Surveillance
• Gaming & Entertainment
• Marketing & Sales
• Human Resources
• Other Applications

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA