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1871875

全球人工智慧代理市場：預測（至2032年）－按代理類型、功能角色、技術、應用和區域分類的分析

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球 AI 代理市場價值將達到 77.2 億美元，到 2032 年將達到 944.2 億美元，在預測期內的複合年成長率為 43.0%。

人工智慧代理是能夠執行任務、做出決策並透過智慧分析來應對不斷變化的環境的自主系統。它們利用機器學習、強化學習和自然語言理解來適應新情況、預測結果，並提高醫療保健、物流和金融等各個領域的營運效率。這些代理程式既可在虛擬平台上運行，也可在實體應用中運行，例如自動化客戶支援工具和工業機器人。透過模仿人類推理並持續從經驗中學習，人工智慧代理能夠提高生產力、最大限度地減少人力投入，並提供擴充性的技術解決方案。它們日益精進的技術能力正在重塑全球各組織的日常工作流程、科學研究和人際關係。

根據 Index.dev 發布的《2025 年企業人工智慧應用報告》，85% 的企業將在營運中使用人工智慧代理。這些代理商不僅限於聊天機器人，還應用於銷售輔助、客戶支援、人力資源自動化和 IT 維運等廣泛領域。

對自動化和效率的需求日益成長

人工智慧代理的市場成長主要受各行業對自動化和營運效率日益成長的需求所驅動。企業正在部署能夠自主處理重複性或複雜任務的系統，從而最大限度地減少人為錯誤並節省時間。人工智慧代理能夠最佳化工作流程，提高生產力並確保更有效地利用資源。在保持品質標準的同時降低成本的需求正促使企業整合人工智慧解決方案。此外，數位轉型和向智慧製造的轉變也在推動人工智慧的應用。隨著企業追求競爭優勢和營運效率，人工智慧代理正成為自動化任務、加速決策和提升整體業務績效的關鍵技術。

安裝和維修成本高昂

部署和維護人工智慧代理的高昂成本是市場擴張的一大障礙。部署先進的人工智慧解決方案需要對運算基礎設施、軟體平台和專業人力資源進行大量投資。持續的維護、更新和最佳化進一步增加了整體營運成本。預算有限阻礙了中小企業採用人工智慧，即使其收益可能非常顯著。將人工智慧代理整合到現有工作流程中可能需要額外的資金，這對許多組織來說都是一道障礙。這些財務限制減緩了市場滲透速度，並限制了人工智慧代理在各行業中用於流程自動化、智慧決策和效率提升的廣泛應用。

醫療和遠端醫療領域的擴張

在醫療保健和遠端醫療領域，人工智慧代理在自動化行政任務、預約安排、病患監測和輔助診斷方面具有巨大潛力。在虛擬醫療環境中，人工智慧代理能夠促進無縫的醫療諮詢、提供即時數據分析並協助遠端患者監測。對個人化護理和高效醫療服務日益成長的需求正在推動醫院、診所和遠端醫療平台採用人工智慧代理。將人工智慧代理與醫療設備和電子健康記錄整合，可以改善數據驅動的決策並提高醫療品質。數位醫療解決方案和遠端醫療服務的擴展為人工智慧代理商提供了強勁的成長機會，使其能夠創新患者照護、簡化工作流程並提高醫療保健行業的營運效率。

網路安全漏洞與駭客攻擊風險

網路安全風險對人工智慧代理市場構成重大威脅。由於人工智慧系統處理大量敏感數據，包括個人、財務和企業資料必須持續投資於加密技術、監控系統和先進的安全通訊協定，以保護這些系統。未能解決安全風險可能會削弱人們對人工智慧技術的信任，降低其應用普及率，並可能導致監管和法律訴訟，凸顯網路安全是市場面臨的重大挑戰。

新冠疫情的影響：

新冠疫情危機加速了人工智慧代理市場的成長，各行各業對智慧自動化的依賴程度日益加深。保持社交距離和封鎖措施促使人工智慧驅動的虛擬助理和客戶支援系統得到廣泛應用，以維持營運。在醫療保健領域，人工智慧代理協助進行遠端醫療、遠端監控和數據分析，從而有效應對患者激增的情況。電子商務、物流和金融服務等行業也部署了人工智慧代理，以簡化流程、提供即時洞察並最大限度地減少對人工的依賴。疫情凸顯了對能夠應對突發事件的適應性強、智慧化的系統的迫切需求。此次疫情增強了人工智慧代理的長期市場潛力，並強調了其在確保業務韌性和連續性方面的重要性。

在預測期內，多智慧體系統細分市場將佔據最大的市場佔有率。

在預測期內，多智慧體系統預計將佔據最大的市場佔有率，這主要得益於其能夠協調多個智慧體高效執行任務。這些系統促進了智慧體之間的通訊、協作和數據共用，從而支援醫療保健、物流、金融和製造等領域的複雜大規模應用。其靈活性和擴充性使其能夠在動態場景下實現分散式問題解決和改進決策。與單智慧體系統相比，多智慧體配置更適契約時處理多個任務、最佳化資源利用以及適應不斷變化的環境。對協作自動化和智慧營運解決方案日益成長的需求正在推動多智慧體系統在市場上的主導地位，凸顯了其對企業的戰略重要性。

在預測期內，自然語言處理（NLP）領域將實現最高的複合年成長率。

在對更有效率的人機互動的需求推動下，自然語言處理 (NLP) 領域預計將在預測期內實現最高成長率。 NLP 使人工智慧代理能夠理解、處理和回應自然語言，從而為虛擬助理、聊天機器人和自動化客戶支援等應用提供支援。醫療保健、金融、零售和電子商務等行業對基於語音和文字的人工智慧解決方案的廣泛採用，正在推動這一成長。 NLP 演算法的進步和機器學習的整合正在提高上下文理解能力和回應準確性。隨著互動式人工智慧、個人化用戶體驗和自動化通訊的日益關注，NLP 已成為人工智慧代理市場中複合年成長率最高的細分領域。

佔比最大的地區：

在整個預測期內，北美預計將佔據最大的市場佔有率，這得益於其先進的技術環境、對人工智慧解決方案的早期應用以及在研發方面的大量投入。該地區強大的IT基礎設施、眾多人工智慧Start-Ups以及成熟的大型企業，為人工智慧代理商在醫療保健、金融、零售和物流等領域的快速部署提供了支援。政府推動人工智慧研究的計劃以及消費者對智慧系統的高度接受度，進一步推動了市場成長。熟練的人才和先進的運算資源確保了人工智慧代理的高效實施。這些因素共同促成了北美成為人工智慧代理市場的主導地區，並使其成為創新、技術進步和人工智慧廣泛應用的中心。

年複合成長率最高的地區：

由於中國、印度和日本等國家快速的技術應用、數位轉型以及政府的支持，預計亞太地區在預測期內將實現最高的複合年成長率。人工智慧Start-Ups的擴張、研發投入的增加以及醫療保健、製造業、零售和物流等領域對自動化需求的不斷成長，都在推動市場成長。網路的普及、智慧型手機使用率的提高以及雲端基礎設施的完善，使得人工智慧代理能夠在各種環境中廣泛應用。企業正在採用人工智慧解決方案來提高效率、改善客戶服務並做出更明智的決策。這些因素使亞太地區成為成長最快的地區，凸顯了該地區在全球人工智慧代理市場中的巨大潛力和新興角色。

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  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
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    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
  • 分析材料

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

第5章 全球人工智慧代理市場（按代理類型分類）

  • 介紹
  • 單代理系統
  • 多智慧體系統
  • 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場按功能角色分類

  • 介紹
  • 個人生產力代理
  • 銷售賦能代理
  • 行銷自動化代理
  • 程式碼生成代理
  • 營運和供應鏈代理
  • 客戶支援專員

7. 全球人工智慧代理市場（按技術分類）

  • 介紹
  • 機器學習（ML）
  • 自然語言處理（NLP）
  • 電腦視覺
  • 語音辨識
  • 強化學習

第8章 全球人工智慧代理市場（按應用分類）

  • 介紹
  • 衛生保健
  • 銀行、金融服務和保險 (BFSI)
  • 零售與電子商務
  • 製造業
  • 車
  • 通訊/IT
  • 教育
  • 能源與公用事業

9. 全球人工智慧代理市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 公司簡介

  • 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.