查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1871875

全球人工智慧代理市场：预测（至2032年）－按代理类型、功能角色、技术、应用和区域分類的分析

AI Agents Market Forecasts to 2032 - Global Analysis By Agent Type (Single Agent Systems, Multi-Agent Systems, Vertical AI Agents and Horizontal AI Agents), Functional Role, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球 AI 代理市场价值将达到 77.2 亿美元，到 2032 年将达到 944.2 亿美元，在预测期内的复合年增长率为 43.0%。

人工智慧代理是能够执行任务、做出决策并透过智慧分析来应对不断变化的环境的自主系统。它们利用机器学习、强化学习和自然语言理解来适应新情况、预测结果，并提高医疗保健、物流和金融等各个领域的营运效率。这些代理程式既可在虚拟平台上运行，也可在实体应用中运行，例如自动化客户支援工具和工业机器人。透过模仿人类推理并持续从经验中学习，人工智慧代理能够提高生产力、最大限度地减少人力投入，并提供扩充性的技术解决方案。它们日益精进的技术能力正在重塑全球各组织的日常工作流程、科学研究和人际关係。

根据 Index.dev 发布的《2025 年企业人工智慧应用报告》，85% 的企业将在营运中使用人工智慧代理。这些代理商不仅限于聊天机器人，还应用于销售辅助、客户支援、人力资源自动化和 IT 维运等广泛领域。

对自动化和效率的需求日益增长

人工智慧代理的市场成长主要受各行业对自动化和营运效率日益增长的需求所驱动。企业正在部署能够自主处理重复性或复杂任务的系统，从而最大限度地减少人为错误并节省时间。人工智慧代理能够优化工作流程，提高生产力并确保更有效地利用资源。在保持品质标准的同时降低成本的需求正促使企业整合人工智慧解决方案。此外，数位转型和向智慧製造的转变也在推动人工智慧的应用。随着企业追求竞争优势和营运效率，人工智慧代理正成为自动化任务、加速决策和提升整体业务绩效的关键技术。

安装和维修成本高昂

部署和维护人工智慧代理的高昂成本是市场扩张的一大障碍。部署先进的人工智慧解决方案需要对运算基础设施、软体平台和专业人力资源进行大量投资。持续的维护、更新和优化进一步增加了整体营运成本。预算有限阻碍了中小企业采用人工智慧，即使其收益可能非常显着。将人工智慧代理整合到现有工作流程中可能需要额外的资金，这对许多组织来说都是一道障碍。这些财务限制减缓了市场渗透速度，并限制了人工智慧代理在各行业中用于流程自动化、智慧决策和效率提升的广泛应用。

医疗和远端医疗领域的扩张

在医疗保健和远端医疗领域，人工智慧代理在自动化行政任务、预约安排、病患监测和辅助诊断方面具有巨大潜力。在虚拟医疗环境中，人工智慧代理能够促进无缝的医疗咨询、提供即时数据分析并协助远端患者监测。对个人化护理和高效医疗服务日益增长的需求正在推动医院、诊所和远端医疗平台采用人工智慧代理。将人工智慧代理与医疗设备和电子健康记录集成，可以改善数据驱动的决策并提高医疗品质。数位医疗解决方案和远端医疗服务的扩展为人工智慧代理商提供了强劲的成长机会，使其能够创新患者照护、简化工作流程并提高医疗保健行业的营运效率。

网路安全漏洞与骇客攻击风险

网路安全风险对人工智慧代理市场构成重大威胁。由于人工智慧系统处理大量敏感数据，包括个人、财务和企业资料必须持续投资于加密技术、监控系统和先进的安全通讯协定，以保护这些系统。未能解决安全风险可能会削弱人们对人工智慧技术的信任，降低其应用普及率，并可能导致监管和法律诉讼，凸显网路安全是市场面临的重大挑战。

新冠疫情的影响：

新冠疫情危机加速了人工智慧代理市场的成长，各行各业对智慧自动化的依赖程度日益加深。保持社交距离和封锁措施促使人工智慧驱动的虚拟助理和客户支援系统得到广泛应用，以维持营运。在医疗保健领域，人工智慧代理协助进行远端医疗、远端监控和数据分析，从而有效应对患者激增的情况。电子商务、物流和金融服务等行业也部署了人工智慧代理，以简化流程、提供即时洞察并最大限度地减少对人工的依赖。疫情凸显了对能够应对突发事件的适应性强、智慧化的系统的迫切需求。此次疫情增强了人工智慧代理的长期市场潜力，并强调了其在确保业务韧性和连续性方面的重要性。

在预测期内，多智能体系统细分市场将占据最大的市场份额。

在预测期内，多智能体系统预计将占据最大的市场份额，这主要得益于其能够协调多个智能体高效执行任务。这些系统促进了智能体之间的通讯、协作和数据共用，从而支援医疗保健、物流、金融和製造等领域的复杂大规模应用。其灵活性和扩充性使其能够在动态场景下实现分散式问题解决和改进决策。与单智能体系统相比，多智能体配置更适合同时处理多个任务、最佳化资源利用以及适应不断变化的环境。对协作自动化和智慧营运解决方案日益增长的需求正在推动多智能体系统在市场上的主导地位，凸显了其对企业的战略重要性。

在预测期内，自然语言处理（NLP）领域将实现最高的复合年增长率。

在对更有效率的人机互动的需求推动下，自然语言处理 (NLP) 领域预计将在预测期内实现最高成长率。 NLP 使人工智慧代理能够理解、处理和回应自然语言，从而为虚拟助理、聊天机器人和自动化客户支援等应用提供支援。医疗保健、金融、零售和电子商务等行业对基于语音和文字的人工智慧解决方案的广泛采用，正在推动这一成长。 NLP 演算法的进步和机器学习的整合正在提高上下文理解能力和回应准确性。随着互动式人工智慧、个人化用户体验和自动化通讯的日益关注，NLP 已成为人工智慧代理市场中复合年增长率最高的细分领域。

占比最大的地区：

在整个预测期内，北美预计将占据最大的市场份额，这得益于其先进的技术环境、对人工智慧解决方案的早期应用以及在研发方面的大量投入。该地区强大的IT基础设施、众多人工智慧Start-Ups以及成熟的大型企业，为人工智慧代理商在医疗保健、金融、零售和物流等领域的快速部署提供了支援。政府推动人工智慧研究的计划以及消费者对智慧系统的高度接受度，进一步推动了市场成长。熟练的人才和先进的运算资源确保了人工智慧代理的高效实施。这些因素共同促成了北美成为人工智慧代理市场的主导地区，并使其成为创新、技术进步和人工智慧广泛应用的中心。

年复合成长率最高的地区：

由于中国、印度和日本等国家快速的技术应用、数位转型以及政府的支持，预计亚太地区在预测期内将实现最高的复合年增长率。人工智慧Start-Ups的扩张、研发投入的增加以及医疗保健、製造业、零售和物流等领域对自动化需求的不断增长，都在推动市场成长。网路的普及、智慧型手机使用率的提高以及云端基础设施的完善，使得人工智慧代理能够在各种环境中广泛应用。企业正在采用人工智慧解决方案来提高效率、改善客户服务并做出更明智的决策。这些因素使亚太地区成为成长最快的地区，凸显了该地区在全球人工智慧代理市场中的巨大潜力和新兴角色。

免费客製化服务

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
  • 分析材料

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

第五章 全球人工智慧代理市场（按代理类型划分）

  • 介绍
  • 单代理系统
  • 多智能体系统
  • 垂直人工智慧代理
  • 水平人工智慧代理

6. 全球人工智慧代理市场按功能角色划分

  • 介绍
  • 个人生产力代理
  • 销售赋能代理
  • 行销自动化代理
  • 程式码生成代理
  • 营运和供应链代理
  • 客户支援专员

7. 全球人工智慧代理市场（按技术划分）

  • 介绍
  • 机器学习（ML）
  • 自然语言处理（NLP）
  • 电脑视觉
  • 语音辨识
  • 强化学习

第八章 全球人工智慧代理市场（按应用划分）

  • 介绍
  • 卫生保健
  • 银行、金融服务和保险 (BFSI)
  • 零售与电子商务
  • 製造业
  • 车
  • 通讯/IT
  • 教育
  • 能源与公用事业

9. 全球人工智慧代理市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 公司简介

  • Google
  • Amelia
  • IBM
  • OpenAI
  • Amazon Web Services（AWS）
  • Microsoft
  • Oracle
  • NVIDIA
  • Salesforce
  • Anthropic
  • Zendesk
  • Alibaba Group Holding Limited
  • Baidu
  • Cognizant
  • Infosys
Product Code: SMRC32245

According to Stratistics MRC, the Global AI Agents Market is accounted for $7.72 billion in 2025 and is expected to reach $94.42 billion by 2032 growing at a CAGR of 43.0% during the forecast period. AI Agents are autonomous systems capable of executing tasks, making decisions, and responding to changing environments through intelligent analysis. Using machine learning, reinforcement learning, and natural language understanding, they adapt to new situations, forecast results, and streamline operations in multiple sectors. These agents function in both virtual platforms and physical applications, including automated customer support tools and industrial robots in healthcare, logistics, and finance. By mimicking human reasoning and continuously learning from experiences, AI agents improve productivity, minimize human effort, and offer scalable technological solutions. Their growing sophistication is reshaping organizational workflows, scientific research, and everyday human interactions worldwide.

According to Index.dev's 2025 enterprise AI adoption report, 85% of organizations have integrated AI agents into their operations. These agents are not limited to chatbots-they span across domains such as sales enablement, customer support, HR automation, and IT operations.

Market Dynamics:

Driver:

Increasing demand for automation and efficiency

The market growth for AI agents is largely fueled by the rising need for automation and increased operational efficiency across sectors. Companies are adopting systems capable of handling repetitive or complex tasks autonomously, minimizing human error and saving time. AI agents optimize workflows, improve productivity, and ensure better utilization of resources. The push for cost reduction while maintaining quality standards drives organizations to integrate AI solutions. Additionally, the move toward digital transformation and smart manufacturing supports AI adoption. As enterprises seek competitive advantages and streamlined operations, AI agents are becoming critical technologies for automating tasks, accelerating decisions, and improving overall operational performance.

Restraint:

High implementation and maintenance costs

The significant expenses associated with deploying and maintaining AI agents act as a major market limitation. Implementing advanced AI solutions demands heavy investment in computing infrastructure, software platforms, and trained professionals. Continuous maintenance, updates, and optimization add to the overall operational costs. For small and medium enterprises, limited budgets hinder AI adoption, even when the benefits are substantial. Integrating AI agents into existing workflows can require additional capital, creating a barrier for many organizations. These financial constraints slow market penetration and limit the widespread use of AI agents for process automation, smart decision-making, and efficiency improvement across various sectors.

Opportunity:

Expansion in healthcare and telemedicine

Healthcare and telemedicine offer vast potential for AI agents, enabling automation of administrative tasks, appointment scheduling, patient monitoring, and diagnostic support. In virtual healthcare, AI agents facilitate seamless consultations, provide instant data analysis, and support remote monitoring of patients. The increasing need for personalized care and efficient medical services encourages adoption in hospitals, clinics, and telehealth platforms. Connecting AI agents with medical devices and electronic health records allows better data-driven decisions, improving treatment quality. The expansion of digital healthcare solutions and remote health services provides a strong growth opportunity for AI agents, allowing them to revolutionize patient care, streamline workflows, and enhance operational efficiency in the medical sector.

Threat:

Cyber security vulnerabilities and hacking risks

Cyber security risks represent a major threat to the AI agents market. Handling large volumes of sensitive data, such as personal, financial, and corporate information, exposes AI systems to potential breaches and hacking. Such incidents can harm data integrity, incur financial damage, and negatively affect brand reputation. AI agents integrated with cloud platforms or IoT devices face higher vulnerability to cyber attacks. Companies need constant investment in encryption, monitoring, and advanced security protocols to protect these systems. Failure to address security risks can undermine trust in AI technologies, slow adoption rates, and lead to regulatory or legal consequences, highlighting cyber security as a key market challenge.

Covid-19 Impact:

The COVID-19 crisis accelerated the growth of the AI agents market as industries increasingly relied on intelligent automation. Social distancing and lockdown measures prompted widespread use of AI-powered virtual assistants and customer support systems to sustain operations. In healthcare, AI agents supported telemedicine, remote monitoring, and data analysis to manage patient influx efficiently. E-commerce, logistics, and financial services also deployed AI agents to streamline processes, provide real-time insights, and minimize human dependency. The pandemic underscored the need for adaptive, intelligent systems capable of handling unforeseen disruptions. This experience strengthened the long-term market potential for AI agents, emphasizing their importance in ensuring business resilience and continuity.

The multi-agent systems segment is expected to be the largest during the forecast period

The multi-agent systems segment is expected to account for the largest market share during the forecast period owing to its ability to coordinate several intelligent agents for efficient task execution. These systems facilitate communication, collaboration, and data sharing among agents, supporting complex, large-scale applications across sectors such as healthcare, logistics, finance, and manufacturing. Their flexibility and scalability enable distributed problem-solving and improved decision-making in dynamic scenarios. Compared to single-agent systems, multi-agent setups are preferred for handling multiple tasks simultaneously, optimizing resources, and adapting to evolving environments. The increasing need for collaborative automation and intelligent operational solutions underpins the dominant market position of multi-agent systems, highlighting their strategic importance for businesses.

The natural language processing (NLP) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the natural language processing (NLP) segment is predicted to witness the highest growth rate, driven by the need for more effective human-machine interaction. NLP allows AI agents to comprehend, process, and respond to natural language, supporting applications like virtual assistants, chatbots, and automated customer support. Widespread adoption of voice- and text-based AI solutions in industries such as healthcare, finance, retail, and e-commerce fuels this growth. Advancements in NLP algorithms, combined with machine learning integration, improve contextual understanding and response accuracy. With increasing emphasis on conversational AI, personalized user experiences, and automated communication, NLP stands out as the segment experiencing the highest CAGR in the AI agents market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its advanced technology landscape, early adoption of AI solutions, and significant investment in R&D. The region's strong IT infrastructure, numerous AI startups, and established enterprises support rapid deployment of AI agents across sectors like healthcare, finance, retail, and logistics. Government programs encouraging AI research, along with high consumer acceptance of intelligent systems, further drive growth. Access to skilled talent and advanced computing resources ensures efficient implementation of AI agents. These factors collectively position North America as the dominant region in the AI agents market, serving as a center for innovation, technological advancement, and widespread AI adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid technological adoption, digital transformation, and government support in countries like China, India, and Japan. Expanding AI-focused startups, growing R&D investments, and rising automation demand across healthcare, manufacturing, retail, and logistics sectors drive market growth. Increased internet access, smartphone usage, and cloud infrastructure enable widespread deployment of AI agents in diverse settings. Companies are adopting AI solutions to improve efficiency, customer service, and informed decision-making. These factors make Asia Pacific the fastest-growing region, highlighting its significant potential and emerging role in shaping the global AI agents market.

Key players in the market

Some of the key players in AI Agents Market include Google, Amelia, IBM, OpenAI, Amazon Web Services (AWS), Microsoft, Oracle, NVIDIA, Salesforce, Anthropic, Zendesk, Alibaba Group Holding Limited, Baidu, Cognizant and Infosys.

Key Developments:

In November 2025, IBM and AICTE have signed an agreement to Start Artificial Intelligence Lab in India. This initiative has been launched with the aim of training students and faculty in Artificial Intelligence, Data Science and next-generation technologies in technical institutions across the country, thereby strengthening India's path towards building a future-ready digital workforce.

In October 2025, Google Cloud and Adobe announced an expanded strategic partnership to deliver the next generation of AI-powered creative technologies. The partnership brings together Adobe's decades of creative expertise with Google's advanced AI models-including Gemini, Veo, and Imagen-to usher in a new era of creative expression.

In June 2025, Amelia and Embraer has signed an extensive services agreement, including the Pool Program for the E-Jets family and support for the ERJ and E-Jets aircraft in the airline's fleet. Recently, Amelia announced it is joining the E-Jets family, with two E190 jets leased from CDB Aviation.

Agent Types Covered:

  • Single Agent Systems
  • Multi-Agent Systems
  • Vertical AI Agents
  • Horizontal AI Agents

Functional Roles Covered:

  • Personal Productivity Agents
  • Sales Enablement Agents
  • Marketing Automation Agents
  • Code Generation Agents
  • Operations & Supply Chain Agents
  • Customer Support Agents

Technologies Covered:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Speech Recognition
  • Reinforcement Learning

Applications Covered:

  • Healthcare
  • BFSI (Banking, Financial Services, Insurance)
  • Retail & E-commerce
  • Manufacturing
  • Automotive
  • Telecom & IT
  • Education
  • Energy & Utilities

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Agents Market, By Agent Type

  • 5.1 Introduction
  • 5.2 Single Agent Systems
  • 5.3 Multi-Agent Systems
  • 5.4 Vertical AI Agents
  • 5.5 Horizontal AI Agents

6 Global AI Agents Market, By Functional Role

  • 6.1 Introduction
  • 6.2 Personal Productivity Agents
  • 6.3 Sales Enablement Agents
  • 6.4 Marketing Automation Agents
  • 6.5 Code Generation Agents
  • 6.6 Operations & Supply Chain Agents
  • 6.7 Customer Support Agents

7 Global AI Agents Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning (ML)
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Computer Vision
  • 7.5 Speech Recognition
  • 7.6 Reinforcement Learning

8 Global AI Agents Market, By Application

  • 8.1 Introduction
  • 8.2 Healthcare
  • 8.3 BFSI (Banking, Financial Services, Insurance)
  • 8.4 Retail & E-commerce
  • 8.5 Manufacturing
  • 8.6 Automotive
  • 8.7 Telecom & IT
  • 8.8 Education
  • 8.9 Energy & Utilities

9 Global AI Agents Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Google
  • 11.2 Amelia
  • 11.3 IBM
  • 11.4 OpenAI
  • 11.5 Amazon Web Services (AWS)
  • 11.6 Microsoft
  • 11.7 Oracle
  • 11.8 NVIDIA
  • 11.9 Salesforce
  • 11.10 Anthropic
  • 11.11 Zendesk
  • 11.12 Alibaba Group Holding Limited
  • 11.13 Baidu
  • 11.14 Cognizant
  • 11.15 Infosys

List of Tables

  • Table 1 Global AI Agents Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Agents Market Outlook, By Agent Type (2024-2032) ($MN)
  • Table 3 Global AI Agents Market Outlook, By Single Agent Systems (2024-2032) ($MN)
  • Table 4 Global AI Agents Market Outlook, By Multi-Agent Systems (2024-2032) ($MN)
  • Table 5 Global AI Agents Market Outlook, By Vertical AI Agents (2024-2032) ($MN)
  • Table 6 Global AI Agents Market Outlook, By Horizontal AI Agents (2024-2032) ($MN)
  • Table 7 Global AI Agents Market Outlook, By Functional Role (2024-2032) ($MN)
  • Table 8 Global AI Agents Market Outlook, By Personal Productivity Agents (2024-2032) ($MN)
  • Table 9 Global AI Agents Market Outlook, By Sales Enablement Agents (2024-2032) ($MN)
  • Table 10 Global AI Agents Market Outlook, By Marketing Automation Agents (2024-2032) ($MN)
  • Table 11 Global AI Agents Market Outlook, By Code Generation Agents (2024-2032) ($MN)
  • Table 12 Global AI Agents Market Outlook, By Operations & Supply Chain Agents (2024-2032) ($MN)
  • Table 13 Global AI Agents Market Outlook, By Customer Support Agents (2024-2032) ($MN)
  • Table 14 Global AI Agents Market Outlook, By Technology (2024-2032) ($MN)
  • Table 15 Global AI Agents Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
  • Table 16 Global AI Agents Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 17 Global AI Agents Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 18 Global AI Agents Market Outlook, By Speech Recognition (2024-2032) ($MN)
  • Table 19 Global AI Agents Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 20 Global AI Agents Market Outlook, By Application (2024-2032) ($MN)
  • Table 21 Global AI Agents Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 22 Global AI Agents Market Outlook, By BFSI (Banking, Financial Services, Insurance) (2024-2032) ($MN)
  • Table 23 Global AI Agents Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 24 Global AI Agents Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 25 Global AI Agents Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 26 Global AI Agents Market Outlook, By Telecom & IT (2024-2032) ($MN)
  • Table 27 Global AI Agents Market Outlook, By Education (2024-2032) ($MN)
  • Table 28 Global AI Agents Market Outlook, By Energy & Utilities (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.