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市场调查报告书
商品编码
2021739

基于代理的人工智慧市场预测至2034年：按部署类型、功能、最终用户和地区分類的全球分析

Agentic AI Market Forecasts to 2034 - Global Analysis By Deployment (Cloud-Native Agentic Platforms, Edge-Deployed Agents and Hybrid Orchestration Models), Functionality, 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，全球基于代理的 AI 市场规模将达到 103 亿美元，并在预测期内以 45.6% 的复合年增长率增长，到 2034 年将达到 2076 亿美元。

基于代理的人工智慧是指能够在几乎无需人工干预的情况下自主执行动作、做出决策并以目标为导向行事的人工智慧系统。这些系统能够感知周围环境、制定计划、执行任务以实现目标，并动态适应不断变化的情况。它们的应用范围涵盖机器人、自动驾驶汽车和智慧工业流程等领域，能够提高效率并最大限度地减少人为干预。儘管基于代理的人工智慧在提高生产力和技术进步方面具有优势，但也带来了伦理和安全方面的挑战，需要进行全面的监控、监管和谨慎部署，以确保其负责任且安全地使用。

根据史丹佛大学 HAI 2024 年人工智慧指数，2023 年生成式人工智慧领域的投资额达到 252 亿美元，约 2022 年的八倍。这反映出企业对生成式人工智慧的快速采用和日益增长的关注。

对自动化日益增长的需求

日益增长的自动化需求正显着推动基于代理的人工智慧市场发展。各组织机构越来越依赖自主人工智慧系统来执行复杂任务、优化工作流程并减少人为干预。透过实现即时决策和营运管理，基于代理的人工智慧能够提高效率、准确性和生产力。製造业、物流业和服务业等行业正在采用这些技术来简化流程、降低成本并保持竞争力。快速交付成果、提高生产力和减少错误的压力，正促使企业持续投资于能够自主运作并支援组织发展的高阶人工智慧代理。

伦理和监管方面的挑战

伦理考量和监管限制阻碍了基于代理的人工智慧市场的发展。自主人工智慧系统在决策的问责制、公平性和透明度方面提出了挑战。不断变化的法规和区域政策差异造成了合规障碍。企业面临人工智慧行为可能影响隐私或造成意外损害而受到严格审查的风险。在敏感情况下，自主决策所带来的困境进一步限制了其应用。企业需要建构管治框架、监控机制和合规措施，这增加了成本并延缓了应用流程。

智慧城市和基础设施领域的扩张

智慧城市领域为基于代理的人工智慧（AI）的部署提供了广阔的前景。自主AI代理可以管理城市系统，例如交通控制、能源网路、废弃物管理和公共安全。即时数据处理和自适应决策能够提高效率、降低能源和资源消耗，并提升居民的生活品质。政府和私人企业对智慧基础设施的投资正在推动对AI解决方案的需求。透过部署基于代理商的AI，城市可以更有效率、永续、更安全地运作。这一趋势创造了巨大的市场潜力，使AI开发人员能够为全球各大大都会圈的更智慧的城市规划、永续营运和更优质的公共服务做出贡献。

公众舆论和信任上的挑战

对信任和公众舆论的担忧正威胁着基于代理的人工智慧市场。由于自主人工智慧代理会做出独立决策，因此人们开始关注其课责、伦理行为和可靠性。人工智慧的错误和事故可能会损害公众信任，并延缓其普及。对失业的担忧也可能引发员工和消费者的抵制。为了建立信任，企业必须优先考虑透明度、可解释性和沟通。忽视这些社会和伦理问题可能会限制其普及，阻碍市场成长，并损害实施基于代理的人工智慧技术的组织的声誉，这凸显了负责任的采用实践的重要性。

新型冠状病毒（COVID-19）的影响：

新冠疫情危机透过增加对自主远端操作的需求，对基于代理的人工智慧市场产生了影响。封锁和社交距离的措施迫使各行各业采用人工智慧解决方案来维持生产力并防止业务流程中断。在医疗保健、物流和製造业等领域，基于代理的人工智慧被应用于预测分析、远端监控和自主决策等任务。儘管由于供应链问题和部署延迟，出现了一些暂时的放缓，但疫情凸显了自主人工智慧在应对紧急情况方面的重要性。

在预测期内，云端原生代理平台细分市场预计将成为最大的细分市场。

由于其柔软性、扩充性和易于部署的特点，云端原生智慧体平台预计将在预测期内占据最大的市场份额。透过利用集中式云端基础设施，企业可以有效率地管理自主人工智慧代理，即时监控其运作状态，并整合跨职能营运。云端原生解决方案能够快速扩展人工智慧能力，同时减少对大规模本地基础架构的需求。这些平台还支援高级分析、协作工作流程和远端访问，使其在医疗保健、金融和製造业等行业极具吸引力。

在预测期内，医疗保健和生命科学产业预计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，这主要得益于自主人工智慧在诊断、个人化医疗、病患监测和机器人手术等领域的广泛应用。提高医疗效率、降低成本和改善患者预后的需求正在推动人工智慧的广泛应用。人工智慧代理与远端医疗、预测分析和医院管理系统的整合将提升营运效率和决策能力。此外，人工智慧驱动的药物研发工作也正在扩大市场潜力。

市占率最大的地区：

在整个预测期内，北美预计将保持最大的市场份额，这主要得益于其强大的技术基础设施、人工智慧的广泛应用以及众多领先科技公司的聚集。医疗保健、金融、製造和汽车行业对研发、自主系统和云端解决方案的大力投资，正在巩固该地区的市场地位。政府的支持政策、高素质的劳动力以及对科技的早期应用，进一步推动了成长。随着对数位转型和自动化的重视，以及对人工智慧驱动的即时决策日益增长的需求，北美有望继续保持其作为基于代理的人工智慧领先市场的地位，并在全球应用和技术进步方面保持竞争优势。

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，这主要得益于数位化进程的加速、自主解决方案的广泛应用以及对人工智慧投资的不断增长。在新兴市场，人工智慧正被整合到医疗保健、工业自动化和智慧基础设施项目中，以实现营运现代化。丰富的技能型劳动力、有利的政府政策以及企业对人工智慧优势日益增强的认识，都为市场扩张提供了支持。随着基于代理的人工智慧在工作流程自动化、预测性决策和效率提升方面的应用日益广泛，亚太市场预计将经历快速成长，为各行各业创造巨大机会，并确立其作为自主人工智慧技术领先成长区域的地位。

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
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 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：全球基于代理的人工智慧市场：按部署方式划分

  • 云端原生代理平台
  • 边缘部署代理
  • 混合编配模型

第六章：全球基于代理的人工智慧市场：功能

  • 任务自动化代理
  • 决策支援代理
  • 创新内容生成代理
  • 多智能体编配系统

第七章：全球基于代理的人工智慧市场：按最终用户划分

  • 银行、金融服务和保险（BFSI）
  • 医疗保健和生命科学
  • 工业IoT
  • 汽车与出行
  • 零售和消费者体验
  • 能源永续性

第八章：全球基于代理的人工智慧市场：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

  • Microsoft
  • Google
  • Amazon（AWS）
  • OpenAI
  • Anthropic
  • NVIDIA
  • IBM
  • ServiceNow
  • UiPath
  • SAP
  • Salesforce
  • Aisera
  • Avanade
  • PwC
  • Intuit
  • Coupa
  • LangChain
  • CrewAI
Product Code: SMRC34975

According to Stratistics MRC, the Global Agentic AI Market is accounted for $10.3 billion in 2026 and is expected to reach $207.6 billion by 2034 growing at a CAGR of 45.6% during the forecast period. Agentic AI encompasses AI systems capable of independent operation, decision-making, and goal-oriented behavior with little human guidance. These systems sense their surroundings, formulate plans, and carry out tasks to fulfill objectives, adjusting dynamically to evolving situations. Their applications span robotics, self-driving cars, and intelligent industrial processes, boosting efficiency and minimizing human involvement. Despite their advantages in productivity and technological advancement, agentic AI presents ethical and safety challenges, requiring comprehensive oversight, regulation, and careful implementation to ensure responsible and secure use.

According to Stanford HAI AI Index 2024, Generative AI investment reached $25.2 billion in 2023, nearly eight times higher than in 2022, reflecting rapid adoption and corporate focus.

Market Dynamics:

Driver:

Increasing demand for automation

Growing automation requirements are significantly boosting the agentic AI market. Organizations increasingly rely on autonomous AI systems to perform intricate tasks, optimize workflows, and reduce human intervention. By enabling real-time decision-making and operational management, agentic AI improves efficiency, accuracy, and output. Industries including manufacturing, logistics, and services are adopting these technologies to streamline processes, lower costs, and remain competitive. The pressure for rapid results, enhanced productivity, and error reduction drives ongoing investments in advanced AI agents capable of operating independently and supporting organizational growth.

Restraint:

Ethical and regulatory challenges

Ethical considerations and regulatory limitations hinder the growth of the agentic AI market. Independent AI systems pose challenges regarding responsibility, fairness, and transparency in decisions. Evolving regulations and varying regional policies create obstacles for compliance. Businesses risk scrutiny over AI actions that may impact privacy or cause unintended harm. Dilemmas related to autonomous decision-making in sensitive contexts further restrict adoption. Firms must develop governance frameworks, monitoring mechanisms, and compliance measures, increasing costs and delaying deployment.

Opportunity:

Expansion in smart cities and infrastructure

The smart city sector provides promising opportunities for agentic AI adoption. Autonomous AI agents can manage urban systems, including traffic control, energy grids, waste disposal, and public safety. Real-time data processing and adaptive decision-making enhance efficiency, reduce energy and resource consumption, and improve residents' quality of life. Investments from governments and private enterprises in intelligent infrastructure drive demand for AI-enabled solutions. Deploying agentic AI allows cities to operate more effectively, sustainably, and safely. This trend creates significant market potential, enabling AI developers to contribute to smarter urban planning, sustainable operations, and improved public services across global metropolitan areas.

Threat:

Public perception and trust issues

Concerns about trust and public perception threaten the agentic AI market. Autonomous AI agents make independent decisions, prompting worries about accountability, ethical conduct, and reliability. Mistakes or accidents caused by AI can erode public confidence, slowing adoption. Fears of job displacement may also create resistance from workers and consumers. Businesses must prioritize transparency, explainability, and communication to build trust. Neglecting these social and ethical concerns can limit adoption, reduce market growth, and damage the reputation of organizations implementing agentic AI technologies, highlighting the importance of responsible deployment practices.

Covid-19 Impact:

The COVID-19 crisis influenced the agentic AI market by increasing the need for autonomous and remote operations. Lockdowns and social distancing measures prompted industries to implement AI-driven solutions to sustain productivity and ensure uninterrupted workflows. Sectors like healthcare, logistics, and manufacturing adopted agentic AI for tasks such as predictive analytics, remote supervision, and independent decision-making. Despite temporary slowdowns caused by supply chain issues and deployment delays, the pandemic underscored the importance of autonomous AI in handling emergencies.

The cloud-native agentic platforms segment is expected to be the largest during the forecast period

The cloud-native agentic platforms segment is expected to account for the largest market share during the forecast period due to their flexibility, scalability, and simplified deployment. By leveraging centralized cloud infrastructure, organizations can manage autonomous AI agents efficiently, perform real-time monitoring, and integrate cross-functional operations. Cloud-native solutions reduce the need for extensive on-premises infrastructure while enabling rapid expansion of AI capabilities. These platforms also support advanced analytics, collaborative workflows, and remote access, making them highly appealing across sectors like healthcare, finance, and manufacturing.

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, owing to the increasing deployment of autonomous AI for diagnostics, personalized medicine, patient monitoring, and robotic surgery. The need for improved healthcare efficiency, lower costs, and enhanced patient outcomes drives widespread AI adoption. Integration of AI agents with telehealth, predictive analytics, and hospital management systems strengthens operational efficiency and decision-making. Furthermore, AI-powered drug research and development initiatives boost market potential.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by robust technological infrastructure, widespread AI adoption, and the concentration of major tech companies. Strong investments in research, autonomous systems, and cloud-based solutions across healthcare, finance, manufacturing, and automotive industries bolster its market position. Supportive government policies, a skilled workforce, and early technology adoption further enhance growth. The region's focus on digital transformation and automation, along with increasing demand for AI-driven real-time decision-making, ensures North America remains the leading market for agentic AI, maintaining a competitive edge in global adoption and technological advancement.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by accelerated digitalization, adoption of autonomous solutions, and growing AI-focused investments. Emerging countries are integrating AI across healthcare, industrial automation, and smart infrastructure projects to modernize operations. A large skilled workforce, favorable government initiatives, and increasing enterprise awareness of AI benefits support market expansion. With rising deployment of agentic AI for workflow automation, predictive decision-making, and efficiency improvements, the Asia-Pacific market is set to witness rapid growth, presenting significant opportunities across industries and establishing itself as a key growth region for autonomous AI technologies.

Key players in the market

Some of the key players in Agentic AI Market include Microsoft, Google, Amazon (AWS), OpenAI, Anthropic, NVIDIA, IBM, ServiceNow, UiPath, SAP, Salesforce, Aisera, Avanade, PwC, Intuit, Coupa, LangChain and CrewAI.

Key Developments:

In March 2026, NVIDIA and Marvell Technology, Inc. announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion(TM), offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. The companies will also collaborate on silicon photonics technology.

In January 2026, Microsoft Corp has been awarded a $170,444,462 firm-fixed-price task order for the Cloud One Program by the U.S. Department of War. The contract will provide Microsoft Azure cloud service offerings to support the Air Force's Cloud One Program and its customers. Work on the project will be performed at Microsoft's designated facilities across the contiguous United States.

In December 2025, IBM and Confluent, Inc. announced they have entered into a definitive agreement under which IBM will acquire all of the issued and outstanding common shares of Confluent for $31 per share, representing an enterprise value of $11 billion. Confluent provides a leading open-source enterprise data streaming platform that connects processes and governs reusable and reliable data and events in real time, foundational for the deployment of AI.

Deployments Covered:

  • Cloud-Native Agentic Platforms
  • Edge-Deployed Agents
  • Hybrid Orchestration Models

Functionalities Covered:

  • Task Automation Agents
  • Decision-Support Agents
  • Creative & Content Generation Agents
  • Multi-Agent Orchestration Systems

End Users Covered:

  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Manufacturing & Industrial IoT
  • Automotive & Mobility
  • Retail & Consumer Experience
  • Energy & Sustainability

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 Agentic AI Market, By Deployment

  • 5.1 Cloud-Native Agentic Platforms
  • 5.2 Edge-Deployed Agents
  • 5.3 Hybrid Orchestration Models

6 Global Agentic AI Market, By Functionality

  • 6.1 Task Automation Agents
  • 6.2 Decision-Support Agents
  • 6.3 Creative & Content Generation Agents
  • 6.4 Multi-Agent Orchestration Systems

7 Global Agentic AI Market, By End User

  • 7.1 Banking, Financial Services & Insurance (BFSI)
  • 7.2 Healthcare & Life Sciences
  • 7.3 Manufacturing & Industrial IoT
  • 7.4 Automotive & Mobility
  • 7.5 Retail & Consumer Experience
  • 7.6 Energy & Sustainability

8 Global Agentic AI 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 Microsoft
  • 11.2 Google
  • 11.3 Amazon (AWS)
  • 11.4 OpenAI
  • 11.5 Anthropic
  • 11.6 NVIDIA
  • 11.7 IBM
  • 11.8 ServiceNow
  • 11.9 UiPath
  • 11.10 SAP
  • 11.11 Salesforce
  • 11.12 Aisera
  • 11.13 Avanade
  • 11.14 PwC
  • 11.15 Intuit
  • 11.16 Coupa
  • 11.17 LangChain
  • 11.18 CrewAI

List of Tables

  • Table 1 Global Agentic AI Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Agentic AI Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 3 Global Agentic AI Market Outlook, By Cloud-Native Agentic Platforms (2023-2034) ($MN)
  • Table 4 Global Agentic AI Market Outlook, By Edge-Deployed Agents (2023-2034) ($MN)
  • Table 5 Global Agentic AI Market Outlook, By Hybrid Orchestration Models (2023-2034) ($MN)
  • Table 6 Global Agentic AI Market Outlook, By Functionality (2023-2034) ($MN)
  • Table 7 Global Agentic AI Market Outlook, By Task Automation Agents (2023-2034) ($MN)
  • Table 8 Global Agentic AI Market Outlook, By Decision-Support Agents (2023-2034) ($MN)
  • Table 9 Global Agentic AI Market Outlook, By Creative & Content Generation Agents (2023-2034) ($MN)
  • Table 10 Global Agentic AI Market Outlook, By Multi-Agent Orchestration Systems (2023-2034) ($MN)
  • Table 11 Global Agentic AI Market Outlook, By End User (2023-2034) ($MN)
  • Table 12 Global Agentic AI Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2023-2034) ($MN)
  • Table 13 Global Agentic AI Market Outlook, By Healthcare & Life Sciences (2023-2034) ($MN)
  • Table 14 Global Agentic AI Market Outlook, By Manufacturing & Industrial IoT (2023-2034) ($MN)
  • Table 15 Global Agentic AI Market Outlook, By Automotive & Mobility (2023-2034) ($MN)
  • Table 16 Global Agentic AI Market Outlook, By Retail & Consumer Experience (2023-2034) ($MN)
  • Table 17 Global Agentic AI Market Outlook, By Energy & Sustainability (2023-2034) ($MN)

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