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市场调查报告书
商品编码
2007805

AI代理平台市场预测至2034年－按类型、部署模式、最终用户和地区分類的全球分析

AI Agents Platforms Market Forecasts to 2034- Global Analysis By Type (Virtual Assistants, Chatbots, Robotic Process Automation (RPA) Agents, Cognitive Agents and Autonomous Agents), Deployment Mode, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球 AI 代理平台市场规模将达到 114.1 亿美元，在预测期内将以 49.6% 的复合年增长率增长，到 2034 年将达到 2863.5 亿美元。

人工智慧代理平台是一个整合的软体环境，支援由人工智慧 (AI) 驱动的自主或半自动数位代理的设计、部署和管理。这些平台融合了自然语言处理、机器学习、工作流程自动化和即时资料整合等功能，使代理商能够理解情境、做出决策并在极少人工干预的情况下执行任务。它们支援广泛的应用场景，包括客户服务、业务营运和企业生产力提升，并提供可扩展性、编配和持续学习能力，从而在动态数位生态系统中增强效能、效率和自适应决策能力。

对自动化和生产力的需求日益增长

随着企业精简营运、减少人工劳动并提高效率，对自动化和生产力日益增长的需求成为市场的主要驱动力。人工智慧驱动的智慧体能够加快决策速度、实现重复性任务的自动化并优化跨职能工作流程。企业正越来越多地利用这些平台来改善客户参与、加快服务交付速度并降低营运成本。随着对智慧自动化的依赖程度不断提高，它正扩展到各个行业，并支援可扩展且适应性强的业务流程。

高昂的实施和营运成本

高昂的实施和营运成本是市场上的主要阻碍因素，尤其对于中小企业而言更是如此。实施需要对基础设施、整合、专业人员和持续的系统维护进行大量投资。此外，客製化人工智慧代理以满足特定组织需求会进一步增加成本。这些财务障碍往往会导致采用延迟和扩充性受限，尤其是在成本敏感市场。因此，儘管这些平台具有潜在的长期效率提升，但企业可能仍会犹豫是否要全面部署。

人工智慧技术（LLM、NLP、ML）的进步

人工智慧技术的进步，包括大规模语言模型、自然语言处理和机器学习，正在为市场创造巨大的成长机会。这些创新增强了人工智慧代理的认知能力，使其能够更深入地理解上下文、改进决策并进行更接近人类的对话。模型准确性、可扩展性和训练效率的持续提升，正在拓展人工智慧在各行各业的应用场景。随着技术的不断发展，越来越多的组织正在采用先进的人工智慧代理来推动创新、实现个人化并提升竞争优势。

资料隐私和安全问题

资料隐私和安全性问题对市场成长构成重大威胁，因为这些系统严重依赖海量的敏感即时资料。资料外洩、未授权存取和违规行为带来的风险会损害使用者信任，阻碍系统普及。各组织必须确保强大的网路安全态势，并遵守严格的资料保护条例。未能应对这些挑战可能导致法律制裁和声誉损害，从而限制人工智慧代理平台的广泛部署。

新冠疫情的影响：

新冠疫情加速了各产业的数位转型和自动化进程，对市场产生了正面影响。企业越来越多地采用人工智慧驱动的解决方案来维持业务永续营运、管理远端营运并透过虚拟客服提升客户支援。线上互动激增以及对非接触式服务需求的成长进一步推动了人工智慧解决方案的普及。然而，部分产业的预算限制暂时减缓了投资步伐。整体而言，疫情凸显了智慧自动化在建构具有韧性和敏捷性的商业环境中的重要性。

在预测期内，认知代理细分市场预计将占据最大份额。

由于认知代理在情境理解、对话学习和智慧决策方面拥有先进的能力，因此预计在预测期内，认知代理领域将占据最大的市场份额。这些代理商利用复杂的AI模型来执行诸如预测分析、客户参与和流程优化等复杂任务。它们能够透过数据驱动的学习不断改进，因此在各行各业都备受重视。对个人化和高效数位体验日益增长的需求，进一步推动了该领域的领先地位。

预计在预测期内，医疗保健和生命科学产业将呈现最高的复合年增长率。

在预测期内，医疗保健和生命科学领域预计将呈现最高的成长率，这主要得益于人工智慧代理在病人参与、诊断支援和营运效率提升方面的应用日益广泛。这些平台有助于管理大量医疗数据、改善决策并改善患者预后。对数位医疗、远端医疗和个人化医疗的日益关注进一步加速了人工智慧代理的普及应用。此外，研究和管理流程中对自动化的需求也推动了市场的快速扩张。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额，这主要得益于该地区主要企业的存在、先进的数位基础设施以及对人工智慧解决方案的早期应用。该地区的各组织正在大力投资自动化和创新，以保持其竞争优势。政府主导的各项倡议的大力支持以及人们对人工智慧能力的日益了解，进一步推动了市场成长。此外，该地区高技能专业人才的集中以及活跃的研究活动也巩固了其市场主导地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于快速的数位转型、人工智慧技术的日益普及以及企业IT投资的不断增长。中国、印度和东南亚等新兴经济体正积极拥抱自动化，以提高生产力和竞争力。政府推动人工智慧发展的措施以及不断壮大的Start-Ups生态系统也进一步促进了市场成长。此外，对可扩展且经济高效的解决方案日益增长的需求，也加速了全部区域人工智慧代理平台的普及。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域划分
    • 根据客户要求，我们可以提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需经可行性确认）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球人工智慧代理平台市场：按类型划分

  • 虚拟助手
  • 聊天机器人
  • 机器人流程自动化 (RPA) 代理
  • 认知代理
  • 自主代理

第六章 全球人工智慧代理平台市场：依部署模式划分

  • 现场
  • 基于云端的

第七章 全球人工智慧代理平台市场：依最终用户划分

  • 银行、金融服务、保险业 (BFSI)
  • 医疗保健和生命科学
  • 零售与电子商务
  • 製造业
  • 通讯/IT
  • 政府/公共部门
  • 能源公用事业
  • 其他最终用户

第八章 全球人工智慧代理平台市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第九章 战略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十章：产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十一章：公司简介

  • Amazon Web Services（AWS）
  • Anthropic
  • Google
  • Microsoft
  • OpenAI
  • Meta Platforms（Meta）
  • IBM Corporation
  • Alibaba Group Holding
  • NVIDIA Corporation
  • Salesforce, Inc.
  • Oracle Corporation
  • SAP SE
  • ServiceNow, Inc.
  • Cognigy
  • Apple Inc.
Product Code: SMRC34677

According to Stratistics MRC, the Global AI Agents Platforms Market is accounted for $11.41 billion in 2026 and is expected to reach $286.35 billion by 2034 growing at a CAGR of 49.6% during the forecast period. AI Agents Platforms are integrated software environments that enable the design, deployment, and management of autonomous or semi autonomous digital agents powered by artificial intelligence. These platforms combine capabilities such as natural language processing, machine learning, workflow automation, and real time data integration to allow agents to perceive context, make decisions, and execute tasks with minimal human intervention. They support use cases across customer service, operations, and enterprise productivity, offering scalability, orchestration, and continuous learning to improve performance, efficiency, and adaptive decision making in dynamic digital ecosystems.

Market Dynamics:

Driver:

Rising demand for automation & productivity

The rising demand for automation and productivity is a primary driver of the market, as organizations seek to streamline operations, reduce manual intervention, and enhance efficiency. AI-driven agents enable faster decision-making, automate repetitive tasks, and optimize workflows across departments. Enterprises are increasingly leveraging these platforms to improve customer engagement, accelerate service delivery, and lower operational costs. This growing reliance on intelligent automation is fueling widespread adoption across industries, supporting scalable and adaptive business processes.

Restraint:

High implementation and operational costs

High implementation and operational costs act as a significant restraint for the market, particularly for small and medium-sized enterprises. Deployment requires substantial investment in infrastructure, integration, skilled personnel, and continuous system maintenance. Additionally, customizing AI agents to meet specific organizational needs can further escalate costs. These financial barriers often delay adoption and limit scalability, especially in cost-sensitive markets. As a result, organizations may hesitate to fully embrace these platforms despite their long term efficiency benefits.

Opportunity:

Advancements in AI technologies (LLMs, NLP, ML)

Advancements in artificial intelligence technologies, including large language models, natural language processing, and machine learning, present substantial growth opportunities for the market. These innovations enhance the cognitive capabilities of AI agents, enabling better context understanding, improved decision-making, and more human-like interactions. Continuous improvements in model accuracy, scalability, and training efficiency are expanding use cases across industries. As technology evolves, organizations are increasingly adopting advanced AI agents to drive innovation, personalization, and competitive advantage.

Threat:

Data privacy and security concerns

Data privacy and security concerns pose a major threat to the growth of the market, as these systems rely heavily on large volumes of sensitive and real-time data. Risks related to data breaches, unauthorized access, and regulatory non-compliance can undermine user trust and hinder adoption. Organizations must ensure robust cybersecurity frameworks and adhere to stringent data protection regulations. Failure to address these challenges may result in legal penalties and reputational damage, limiting the widespread deployment of AI agent's platforms.

Covid-19 Impact:

The COVID-19 pandemic had a positive impact on the market by accelerating digital transformation and automation initiatives across industries. Organizations increasingly adopted AI-driven solutions to maintain business continuity, manage remote operations, and enhance customer support through virtual agents. The surge in online interactions and demand for contactless services further boosted adoption. However, budget constraints in certain sectors temporarily slowed investments. Overall, the pandemic highlighted the importance of intelligent automation in building resilient and agile business environments.

The cognitive agents segment is expected to be the largest during the forecast period

The cognitive agents segment is expected to account for the largest market share during the forecast period, due to its advanced capabilities in understanding context, learning from interactions, and making intelligent decisions. These agents leverage sophisticated AI models to perform complex tasks such as predictive analysis, customer engagement, and process optimization. Their ability to continuously improve through data driven learning makes them highly valuable across industries. Increasing demand for personalized and efficient digital experiences is driving the dominance of this segment.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, due to the increasing adoption of AI agents for patient engagement, diagnostics support, and operational efficiency. These platforms assist in managing large volumes of medical data, improving decision making, and enhancing patient outcomes. The growing focus on digital health, telemedicine, and personalized treatments is further accelerating adoption. Additionally, the need for automation in research and administrative processes is contributing to rapid market expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the presence of leading technology companies, advanced digital infrastructure, and early adoption of AI-driven solutions. Organizations in the region are heavily investing in automation and innovation to maintain competitive advantage. Strong support from government initiatives and high awareness of AI capabilities further drive market growth. Additionally, the concentration of skilled professionals and research activities contributes to the region's dominant position.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digital transformation, increasing adoption of AI technologies, and expanding enterprise IT investments. Emerging economies such as China, India, and Southeast Asian countries are embracing automation to enhance productivity and competitiveness. Government initiatives promoting AI development and growing startup ecosystems are further supporting market growth. Additionally, rising demand for scalable and cost-effective solutions is accelerating the adoption of AI agents platforms across the region.

Key players in the market

Some of the key players in AI Agents Platforms Market include Amazon Web Services (AWS), Anthropic, Google, Microsoft, OpenAI, Meta Platforms (Meta), IBM Corporation, Alibaba Group Holding, NVIDIA Corporation, Salesforce, Inc., Oracle Corporation, SAP SE, ServiceNow, Inc., Cognigy, and Apple Inc.

Key Developments:

In February 2026, IBM introduced the next-generation autonomous storage portfolio featuring IBM Flash System 5600, 7600, and 9600, powered by agentic AI. The systems automate storage management, improve cyber-resilience, and optimize enterprise data operations, helping organizations manage AI workloads more efficiently. This launch strengthens IBM's hybrid cloud and AI infrastructure ecosystem by reducing manual IT operations and enabling autonomous data storage environments.

In January 2026, IBM partnered with telecom group e& to deploy enterprise-grade agentic AI solutions for governance and regulatory compliance. The collaboration focuses on implementing advanced AI agents capable of automating compliance monitoring, operational decision-making, and enterprise analytics. Announced at the World Economic Forum in Davos, the initiative demonstrates IBM's growing focus on enterprise AI ecosystems.

Types Covered:

  • Virtual Assistants
  • Chatbots
  • Robotic Process Automation (RPA) Agents
  • Cognitive Agents
  • Autonomous Agents

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

End Users Covered:

  • BFSI (Banking, Financial Services, Insurance)
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing
  • Telecom & IT
  • Government & Public Sector
  • Energy & Utilities
  • Other End User

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI Agents Platforms Market, By Type

  • 5.1 Virtual Assistants
  • 5.2 Chatbots
  • 5.3 Robotic Process Automation (RPA) Agents
  • 5.4 Cognitive Agents
  • 5.5 Autonomous Agents

6 Global AI Agents Platforms Market, By Deployment Mode

  • 6.1 On-Premise
  • 6.2 Cloud-Based

7 Global AI Agents Platforms Market, By End User

  • 7.1 BFSI (Banking, Financial Services, Insurance)
  • 7.2 Healthcare & Life Sciences
  • 7.3 Retail & E-commerce
  • 7.4 Manufacturing
  • 7.5 Telecom & IT
  • 7.6 Government & Public Sector
  • 7.7 Energy & Utilities
  • 7.8 Other End Users

8 Global AI Agents Platforms Market, By Geography

  • 8.1 North America
    • 8.1.1 United States
    • 8.1.2 Canada
    • 8.1.3 Mexico
  • 8.2 Europe
    • 8.2.1 United Kingdom
    • 8.2.2 Germany
    • 8.2.3 France
    • 8.2.4 Italy
    • 8.2.5 Spain
    • 8.2.6 Netherlands
    • 8.2.7 Belgium
    • 8.2.8 Sweden
    • 8.2.9 Switzerland
    • 8.2.10 Poland
    • 8.2.11 Rest of Europe
  • 8.3 Asia Pacific
    • 8.3.1 China
    • 8.3.2 Japan
    • 8.3.3 India
    • 8.3.4 South Korea
    • 8.3.5 Australia
    • 8.3.6 Indonesia
    • 8.3.7 Thailand
    • 8.3.8 Malaysia
    • 8.3.9 Singapore
    • 8.3.10 Vietnam
    • 8.3.11 Rest of Asia Pacific
  • 8.4 South America
    • 8.4.1 Brazil
    • 8.4.2 Argentina
    • 8.4.3 Colombia
    • 8.4.4 Chile
    • 8.4.5 Peru
    • 8.4.6 Rest of South America
  • 8.5 Rest of the World (RoW)
    • 8.5.1 Middle East
      • 8.5.1.1 Saudi Arabia
      • 8.5.1.2 United Arab Emirates
      • 8.5.1.3 Qatar
      • 8.5.1.4 Israel
      • 8.5.1.5 Rest of Middle East
    • 8.5.2 Africa
      • 8.5.2.1 South Africa
      • 8.5.2.2 Egypt
      • 8.5.2.3 Morocco
      • 8.5.2.4 Rest of Africa

9 Strategic Market Intelligence

  • 9.1 Industry Value Network and Supply Chain Assessment
  • 9.2 White-Space and Opportunity Mapping
  • 9.3 Product Evolution and Market Life Cycle Analysis
  • 9.4 Channel, Distributor, and Go-to-Market Assessment

10 Industry Developments and Strategic Initiatives

  • 10.1 Mergers and Acquisitions
  • 10.2 Partnerships, Alliances, and Joint Ventures
  • 10.3 New Product Launches and Certifications
  • 10.4 Capacity Expansion and Investments
  • 10.5 Other Strategic Initiatives

11 Company Profiles

  • 11.1 Amazon Web Services (AWS)
  • 11.2 Anthropic
  • 11.3 Google
  • 11.4 Microsoft
  • 11.5 OpenAI
  • 11.6 Meta Platforms (Meta)
  • 11.7 IBM Corporation
  • 11.8 Alibaba Group Holding
  • 11.9 NVIDIA Corporation
  • 11.10 Salesforce, Inc.
  • 11.11 Oracle Corporation
  • 11.12 SAP SE
  • 11.13 ServiceNow, Inc.
  • 11.14 Cognigy
  • 11.15 Apple Inc.

List of Tables

  • Table 1 Global AI Agents Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Agents Platforms Market Outlook, By Type (2023-2034) ($MN)
  • Table 3 Global AI Agents Platforms Market Outlook, By Virtual Assistants (2023-2034) ($MN)
  • Table 4 Global AI Agents Platforms Market Outlook, By Chatbots (2023-2034) ($MN)
  • Table 5 Global AI Agents Platforms Market Outlook, By Robotic Process Automation (RPA) Agents (2023-2034) ($MN)
  • Table 6 Global AI Agents Platforms Market Outlook, By Cognitive Agents (2023-2034) ($MN)
  • Table 7 Global AI Agents Platforms Market Outlook, By Autonomous Agents (2023-2034) ($MN)
  • Table 8 Global AI Agents Platforms Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 9 Global AI Agents Platforms Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 10 Global AI Agents Platforms Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 11 Global AI Agents Platforms Market Outlook, By End User (2023-2034) ($MN)
  • Table 12 Global AI Agents Platforms Market Outlook, By BFSI (Banking, Financial Services, Insurance) (2023-2034) ($MN)
  • Table 13 Global AI Agents Platforms Market Outlook, By Healthcare & Life Sciences (2023-2034) ($MN)
  • Table 14 Global AI Agents Platforms Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
  • Table 15 Global AI Agents Platforms Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 16 Global AI Agents Platforms Market Outlook, By Telecom & IT (2023-2034) ($MN)
  • Table 17 Global AI Agents Platforms Market Outlook, By Government & Public Sector (2023-2034) ($MN)
  • Table 18 Global AI Agents Platforms Market Outlook, By Energy & Utilities (2023-2034) ($MN)
  • Table 19 Global AI Agents Platforms Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.