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封面
市場調查報告書
商品編碼
1708079

全球代理AI市場：現況分析與預測（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個工作天內

價格
簡介目錄

代理 AI 市場提供的技術允許自我管理的 AI 系統在沒有持續人工幹預的情況下做出決策並執行任務。隨著各個行業的企業都需要自動化系統來使其能夠以更低的成本更有效率地運營，這個市場持續成長。隨著公司使用領先的人工智慧技術、雲端服務、物聯網連接和人工智慧自動化工具，代理人工智慧市場正在擴大。公司正在向生成式人工智慧和自主代理投入大量資金，以幫助它們更快地發展和成長。

代理AI的市場規模預計將以約39.4%的速度成長。軟體、客戶支援和網路安全等行業對基於人工智慧的自動化的需求日益增長，推動了代理人工智慧市場的發展。此外，不斷增加的研發、投資、產品進步和產業合作也在推動代理 AI 市場的發展。例如，2025 年 1 月，專注於人工智慧的業務轉型技術供應商 ServiceNow 宣佈大幅擴展其全球合作夥伴計劃，旨在讓其通路合作夥伴社群更容易使用人工智慧。

依組件，市場分為軟體、硬體和服務。其中，軟體類別對代理AI產業的貢獻最高。作為代理AI市場的核心要素，該軟體提供了讓AI代理無需人工控制即可完成工作所需的基礎。密西西比州將在金融、醫療保健、製造和客戶服務領域引入人工智慧自動化軟體和決策程序，並配備可即時處理數據的自我更新模型和平台。我們的基於雲端的 AI 平台和 API 以及開源程式庫使世界各地的組織和開發人員能夠以低成本、大規模地達到新的開發高度。

根據部署方法，市場分為內部部署和雲端。其中，本地部署類別是代理AI產業的最大貢獻者，因為代理AI產業需要更好的資料保護，並希望安全地、依照規則管理資訊。醫療保健、BFSI 和政府機構等更敏感的組織將需要在內部擁有 AI 系統來管理其數據，同時遵守安全標準。這種模型方法可以降低延遲並提供更好的性能，並使企業能夠根據特定行業需求創建客製化的 AI 解決方案，從而推動市場成長。

依公司規模，市場分為小型、中型和大型企業。其中，大型企業類別對代理AI產業的貢獻最大，因為大型企業正在迅速使用代理AI來自動化日常任務並建立更好的決策以提高業務效率。這些公司正在投資人工智慧技術，並將其應用於客戶服務、庫存管理、安全和資料管理等各個領域。大型企業正在使用獨立的人工智慧系統來更快、更有效地處理活動，以及更好地管理其營運並獲得相對於競爭對手的優勢。

根據最終用戶，市場細分為 BFSI、醫療保健、零售和電子商務、媒體和娛樂、製造業、IT 和電信以及其他。其中，BFSI 類別是代理 AI 行業的最大貢獻者，因為它有助於更好地監控風險、透過智慧客戶解決方案進行自動交易，同時防止網路詐欺。安全銀行和自動化管理將透過聊天機器人和虛擬顧問提供更好的幫助，取代監管負擔。 BFSI 公司在全球範圍內引領代理 AI 的採用，因為它們使用 AI 來提高效率並降低成本。

本報告研究了全球代理 AI 市場，並提供了詳細的市場動態、區域和細分分析以及公司簡介。

目錄

第一章：市場介紹

第二章 研究方法或假設

第 3 章執行摘要

  • 行業概要
  • 細分市場展望
    • 市場成長強勁
  • 區域展望

第四章 市場動態

  • 驅動程式
  • 機會
  • 阻礙因素
  • 趨勢
  • PESTEL 分析
  • 需求方分析
  • 供給面分析
    • 合併與收購
    • 合作夥伴關係、投資與方案
    • 產業洞察：主要新創公司及其獨特策略

第五章 定價分析

    區域定價分析
  • 影響價格的因素
第六章 全球代理 AI 市場收入（2022-2032）

第七章 市場組成部分分析

  • 軟體
  • 硬體
  • 服務

第 8 章 依部署方法的市場分析

  • 本地
  • 雲

第九章 依公司規模劃分的市場分析

  • 中小企業
  • 大型企業

第 10 章 最終使用者市場分析

  • BFSI
  • 醫療
  • 零售/電子商務
  • 媒體與娛樂
  • 製造
  • IT 與通信
  • 其他

第 11 章 各地區市場分析

  • 北美
    • 美國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 其他國家

第 12 章 價值鏈分析

  • 邊際分析
  • 市場參與者列表

第 13 章 競爭格局

  • 競爭資訊中心
  • 競爭對手的市場定位分析
  • 波特五力分析

第 14 章公司簡介

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

第 15 章 縮寫與先決條件

第16章附錄

簡介目錄
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