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市场调查报告书
商品编码
1708079

全球代理AI市场：现况分析与预测（2024-2032）

Agentic AI Market: Current Analysis and Forecast (2024-2032)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 145 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

代理 AI 市场提供的技术允许自我管理的 AI 系统在没有持续人工干预的情况下做出决策并执行任务。随着各个行业的企业都需要自动化系统来使其能够以更低的成本更有效率地运营，这个市场持续成长。随着公司使用领先的人工智慧技术、云端服务、物联网连接和人工智慧自动化工具，代理人工智慧市场正在扩大。公司正在向生成式人工智慧和自主代理投入大量资金，以帮助它们更快地发展和成长。

代理AI的市场规模预计将以约39.4%的速度成长。软体、客户支援和网路安全等行业对基于人工智慧的自动化的需求日益增长，推动了代理人工智慧市场的发展。此外，不断增加的研发、投资、产品进步和产业合作也在推动代理 AI 市场的发展。例如，2025 年 1 月，专注于人工智慧的业务转型技术供应商 ServiceNow 宣布大幅扩展其全球合作伙伴计划，旨在让其通路合作伙伴社群更容易使用人工智慧。

依组件，市场分为软体、硬体和服务。其中，软体类别对代理AI产业的贡献最高。作为代理AI市场的核心要素，该软体提供了让AI代理无需人工控制即可完成工作所需的基础。密西西比州将在金融、医疗保健、製造和客户服务领域引入人工智慧自动化软体和决策程序，并配备可即时处理数据的自我更新模型和平台。我们的基于云端的 AI 平台和 API 以及开源程式库使世界各地的组织和开发人员能够以低成本、大规模地达到新的开发高度。

根据部署方法，市场分为内部部署和云端。其中，本地部署类别是代理AI产业的最大贡献者，因为代理AI产业需要更好的资料保护，并希望安全地、依照规则管理资讯。医疗保健、BFSI 和政府机构等更敏感的组织将需要在内部拥有 AI 系统来管理其数据，同时遵守安全标准。这种模型方法可以降低延迟并提供更好的性能，并使企业能够根据特定行业需求创建客製化的 AI 解决方案，从而推动市场成长。

依公司规模，市场分为小型、中型和大型企业。其中，大型企业类别对代理AI产业的贡献最大，因为大型企业正在迅速使用代理AI来自动化日常任务并建立更好的决策以提高业务效率。这些公司正在投资人工智慧技术，并将其应用于客户服务、库存管理、安全和资料管理等各个领域。大型企业正在使用独立的人工智慧系统来更快、更有效地处理活动，以及更好地管理其营运并获得相对于竞争对手的优势。

根据最终用户，市场细分为 BFSI、医疗保健、零售和电子商务、媒体和娱乐、製造业、IT 和电信以及其他。其中，BFSI 类别是代理 AI 行业的最大贡献者，因为它有助于更好地监控风险、透过智慧客户解决方案进行自动交易，同时防止网路诈欺。安全银行和自动化管理将透过聊天机器人和虚拟顾问提供更好的帮助，取代监管负担。 BFSI 公司在全球范围内引领代理 AI 的采用，因为它们使用 AI 来提高效率并降低成本。

本报告研究了全球代理 AI 市场，并提供了详细的市场动态、区域和细分分析以及公司简介。

目录

第一章：市场介绍

第二章 研究方法或假设

第 3 章执行摘要

  • 行业概要
  • 细分市场展望
    • 市场成长强劲
  • 区域展望

第四章 市场动态

  • 驱动程式
  • 机会
  • 阻碍因素
  • 趋势
  • PESTEL 分析
  • 需求方分析
  • 供给面分析
    • 合併与收购
    • 合作伙伴关係、投资与方案
    • 产业洞察：主要新创公司及其独特策略

第五章 定价分析

    区域定价分析
  • 影响价格的因素
第六章 全球代理 AI 市场收入（2022-2032）

第七章 市场组成部分分析

  • 软体
  • 硬体
  • 服务

第 8 章 依部署方法的市场分析

  • 本地
  • 云

第九章 依公司规模划分的市场分析

  • 中小企业
  • 大型企业

第 10 章 最终使用者市场分析

  • BFSI
  • 医疗
  • 零售/电子商务
  • 媒体与娱乐
  • 製造
  • IT 与通信
  • 其他

第 11 章 各地区市场分析

  • 北美
    • 美国
    • 加拿大
    • 其他北美地区
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 其他国家

第 12 章 价值链分析

  • 边际分析
  • 市场参与者列表

第 13 章 竞争格局

  • 竞争资讯中心
  • 竞争对手的市场定位分析
  • 波特五力分析

第 14 章公司简介

  • Amazon Web Services, Inc.
  • Google
  • Microsoft
  • IBM
  • Oracle
  • Salesforce, Inc.
  • SAP SE
  • ServiceNow
  • UiPath
  • Zendesk (Hellman & Friedman)

第 15 章 缩写与先决条件

第16章附录

简介目录
Product Code: UMAI213220

The Agentic AI market serves technology we use that lets self-manage AI systems decide and work without continuous human involvement. This market keeps growing because companies in various sectors now need automated systems for more efficient operations at a lower cost. The Agentic AI market is expanding because of better AI technology, cloud services, Internet of Things connections, and companies using AI automation tools. Businesses put money into generative AI and autonomous agents to help their development and growth more quickly.

The Agentic AI market is set to show a growth rate of about 39.4%. The growing need for AI-driven automation in industries like software, customer support, and cybersecurity is driving the Agentic AI market. Also, increasing R&D, investment, product advancements, and collaborations in this industry drive the Agentic AI market. For instance, in January 2025, AI-focused business transformation technology provider ServiceNow unveiled a major expansion of its global partner program with an eye on making it easier for its channel partner community to take better advantage of AI.

Based on components, the market is segmented into software, hardware, and services. Among these, the software category is the largest contributor to the Agentic AI industry. As the core element of Agentic AI markets, software delivers the needed bases that let AI agents do their work without human control. Mississippi includes AI automation software and decision-making programs with models that update themselves and platforms that process data in real-time across finance, healthcare, manufacturing, and customer service fields. Organizations and developers worldwide can use cloud-based AI platforms plus APIs alongside open-source libraries to reach new development heights at low costs and big scale.

Based on the deployment mode, the market is bifurcated into On-Premises and Cloud. Among these, the On-Premises category is the largest contributor to the Agentic AI industry because they need better data protection and want to follow rules and keep their information safe. More sensitive organizations in healthcare, BFSI, and the government need their AI systems on their premises to control their data while adhering to security standards. This model approach performs better while reducing delay time and lets businesses create custom AI solutions for their special industry requirements, which pushes market growth.

Based on enterprise size, the market is bifurcated into small and medium enterprises and large enterprises. Among these, the large enterprises category is the largest contributor to the Agentic AI industry because large businesses use Agentic AI quickly to automate daily tasks and build better decisions that boost operational effectiveness. These organizations put money into AI technology and use it throughout customer service, inventory handling, security protection, and data management. Large enterprises use independent AI systems to process activities more quickly and effectively while managing operations better to gain an advantage over competitors.

Based on end-user, the market is segmented into BFSI, healthcare, retail and e-commerce, media and entertainment, manufacturing, IT and telecommunications, and others. Among these, the BFSI category is the largest contributor to the Agentic AI industry due to protection from cyber fraud while monitoring risks better and auto-trading with smart customer solutions. Secure banking operations along with automated administrative tasks replace regulatory burden to deliver better help through chatbots and virtual advisors. BFSI companies lead worldwide acceptance of Agentic AI because they use Artificial Intelligence for efficiency enhancement and cost reduction.

For a better understanding of the market adoption of Agentic AI, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Among these, the North American Agentic AI markets are expanding quickly because businesses in various sectors like healthcare, manufacturing, and retail now use autonomous AI systems. Major technology firms based in North America drive AI automation progress through their leading AI systems that help make decisions and learn independently, along with OpenAI, Microsoft, and Google. The market grows more through investments in AI infrastructure and cloud technology, plus rules that let ethical AI evolve. As more companies want AI-based business tools and workforce optimization to boost security, their technology market grows and changes.

Some major players running in the market include Amazon Web Services, Inc.; Google; Microsoft; IBM; Oracle; Salesforce, Inc.; SAP SE; ServiceNow; UiPath, Zendesk (Hellman & Friedman).

TABLE OF CONTENTS

1.Market Introduction

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.Research Methodology or Assumption

  • 2.1. Research Process of the Global Agentic AI Market
  • 2.2. Research Methodology of the Global Agentic AI Market
  • 2.3. Respondent Profile

3.Executive Summary

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.Market Dynamics

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Collaboration & Investment and Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.Pricing Analysis

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.Global Agentic AI Market Revenue (USD Bn), 2022-2032F

7.Market Insights By Component

  • 7.1. Software
  • 7.2. Hardware
  • 7.3. Services

8.Market Insights By Deployment Mode

  • 8.1. On-Premises
  • 8.2. Cloud

9.Market Insights By Enterprise Size

  • 9.1. Small and Medium Enterprises
  • 9.2. Large Enterprises

10.Market Insights By End-User

  • 10.1. BFSI
  • 10.2. Healthcare
  • 10.3. Retail and E-commerce
  • 10.4. Media and Entertainment
  • 10.5. Manufacturing
  • 10.6. IT and Telecommunications
  • 10.7. Others

11.Market Insights By Region

  • 11.1. North America
    • 11.1.1. U.S.
    • 11.1.2. Canada
    • 11.1.3. Rest of North America
  • 11.2. Europe
    • 11.2.1. Germany
    • 11.2.2. U.K.
    • 11.2.3. France
    • 11.2.4. Italy
    • 11.2.5. Spain
    • 11.2.6. Rest of Europe
  • 11.3. Asia-Pacific
    • 11.3.1. China
    • 11.3.2. Japan
    • 11.3.3. India
    • 11.3.4. Rest of Asia-Pacific
  • 11.4. Rest of World

12.Value Chain Analysis

  • 12.1. Marginal Analysis
  • 12.2. List of Market Participants

13.Competitive Landscape

  • 13.1. Competition Dashboard
  • 13.2. Competitor Market Positioning Analysis
  • 13.3. Porter Five Forces Analysis

14.Company Profiled

  • 14.1. Amazon Web Services, Inc.
    • 14.1.1. Company Overview
    • 14.1.2. Key Financials
    • 14.1.3. SWOT Analysis
    • 14.1.4. Product Portfolio
    • 14.1.5. Recent Developments
  • 14.2. Google
  • 14.3. Microsoft
  • 14.4. IBM
  • 14.5. Oracle
  • 14.6. Salesforce, Inc.
  • 14.7. SAP SE
  • 14.8. ServiceNow
  • 14.9. UiPath
  • 14.10. Zendesk (Hellman & Friedman)

15.Acronyms & Assumption

16.Annexure