查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2074952

基於代理的人工智慧自動化市場預測至2034年－按部署模式、企業規模、技術水平、功能應用、最終用戶和地區分類的全球分析

Agentic AI Automation Market Forecasts to 2034 - Global Analysis By Deployment Model (On-Premise, Cloud and Hybrid), Enterprise Size, Technology Layer, Functional Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球基於代理商的 AI 自動化市場預計將在 2026 年達到 95 億美元，並在預測期內以 41.0% 的複合年成長率成長，到 2034 年達到 1,484 億美元。

基於代理的人工智慧自動化是指設計為自主運作並以目標為導向的人工智慧系統，能夠在極少甚至無需人工干預的情況下進行規劃、推理和執行任務。與傳統自動化不同，這些系統利用先進的認知能力、情境感知和機器學習技術，能夠有效地應對不斷變化的情況。它們可以將複雜的目標分解成更小的任務，管理工作流程，並持續最佳化效能。這種人工智慧形式廣泛應用於業務營運、客戶參與、軟體工程和製造業等領域。這顯著減輕了人工工作的負擔，同時提高了現代數位環境和整個產業的效率、擴充性和決策速度。

世界經濟論壇（WEF）預測，到2027年，企業預計將有42%的營運任務透過人工智慧和其他技術自動化，高於2023年的34%。這表明基於代理的人工智慧在商業自動化中的作用將日益凸顯。

企業對自動化的需求日益成長

企業對自動化日益成長的需求正顯著推動基於代理的人工智慧自動化市場的發展。企業正擴大採用智慧自主系統來最佳化工作流程、減少對人工操作的依賴並提高營運效率。在對快速決策和無縫流程協調的需求不斷成長的背景下，能夠管理重複性和複雜任務的人工智慧驅動代理的普及速度正在加快。人事費用上升和熟練專業人員短缺等因素也在推動這一趨勢。各組織優先考慮擴充性且具彈性的解決方案，這使得基於代理的人工智慧成為在全球範圍內實現跨各種業務運營和數位基礎設施的端到端自動化的關鍵。

高昂的實施和維護成本

部署和維護基於代理的人工智慧系統的高昂成本是市場擴張的一大障礙。企業必須對先進的基礎設施、雲端資源、資料管理系統和專業知識進行大量投資才能有效實施這些解決方案。對於中小企業而言，這些財務要求往往構成障礙。此外，模型更新、訓練和系統維護等持續成本進一步增加了整體擁有成本。與舊有系統的整合也增加了複雜性和費用。這些財務限制導致許多公司推遲或放棄部署，從而限制了基於代理的人工智慧技術在整個行業中的普及和發展。

自主企業系統的擴展

全自主企業系統的進步為基於代理的人工智慧自動化市場帶來了巨大的機會。企業正日益採用能夠處理工作流程、做出決策並執行任務而無需持續人工干預的自管理數位環境。基於代理的人工智慧支援包括財務、人力資源、物流和客戶參與在內的多個職能部門的自動化。隨著全球數位轉型的加速，企業對更智慧的自動化解決方案的需求日益成長。這一趨勢為技術供應商在各個行業和全球商業生態系統中設計和實施先進的基於代理的人工智慧平台提供了廣闊的成長前景。

缺乏標準化和互通性

缺乏統一的標準和系統相容性對基於代理的人工智慧自動化市場構成重大威脅。由於各種人工智慧平台和工具通常獨立運行，系統整合變得複雜且效率低。這種缺乏協調加劇了企業開發面臨的挑戰，並導致工作流程分散。如果沒有通用協議，確保人工智慧代理與現有IT系統之間的順暢整合將變得十分困難。此外，缺乏標準化框架限制了創新，並導致不同供應商之間的相容性問題。這些挑戰推高了部署成本，降低了擴充性，阻礙了基於代理的人工智慧解決方案在各行業的廣泛應用，並最終減緩了市場成長和效率。

新型冠狀病毒（COVID-19）的影響：

新冠疫情危機透過加速全球數位轉型進程，對基於代理的人工智慧自動化市場產生了重大影響。在封鎖和人手不足的情況下，企業迅速部署自動化解決方案以確保業務永續營運。遠端營運的需求、對人力依賴的減少以及效率的提高，推動了自主人工智慧系統應用的擴展。醫療保健、線上零售和IT服務等行業迅速採用了基於人工智慧的自動化工具。儘管最初的供應鏈中斷和專案延誤影響了應用，但整體影響是正面的。疫情最終強化了對智慧自動化的長期需求，並凸顯了其在全球韌性商業環境中的重要角色。

在預測期內，業務流程和工作流程自動化領域預計將佔據最大的市場佔有率。

鑑於業務流程和工作流程自動化在多個行業和組織的關鍵職能部門中的廣泛應用，預計該領域在預測期內將佔據最大的市場佔有率。企業正擴大採用自主人工智慧代理來簡化重複性任務、管理工作流程並提高整體效率。此領域廣泛應用於文件處理、核准流程、人力資源、財務和供應鏈管理等職能部門。與現有企業系統的強大整合能力以及最大限度減少人工操作的能力進一步推動了其應用。

預計在預測期內，醫療保健和製藥業將呈現最高的複合年成長率。

在預測期內，醫療保健和製藥行業預計將呈現最高的成長率，這主要得益於廣泛的數位轉型以及醫療流程中智慧自動化技術的日益普及。在該領域，基於代理的人工智慧的應用正在不斷擴展，以支援臨床決策、監測患者、加速藥物研發並提高管理效率。人們對個人化醫療和高效醫療服務的日益關注進一步推動了需求成長。醫療數據的激增以及對及時準確洞察的需求也在推動人工智慧技術的應用。此外，對醫療人工智慧解決方案投資的增加和有利的政策支持也增強了該領域在全球範圍內的成長潛力。

市佔率最大的地區：

在預測期內，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生態系統、對人工智慧解決方案的早期應用以及眾多領先企業的強大影響力。銀行業、醫療保健、資訊科技和製造業等關鍵產業正在大力投資人工智慧、雲端基礎設施和自動化技術。此外，北美擁有豐富的專業人才儲備，領先企業持續創新，進一步鞏固了其主導地位。對智慧自動化以提高效率和生產力的日益成長的需求，也持續強化了北美在全球市場中的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位化進程、不斷擴大的工業活動以及開發中國家對先進技術的日益普及。中國、印度、日本和韓國等主要國家正在人工智慧、雲端服務和自動化系統領域進行大量投資。不斷完善的IT基礎設施、日益​​壯大的創新生態系統以及政府的支持性政策，進一步推動了市場擴張。此外，製造業、醫療保健和金融服務等產業對經濟實惠的自動化解決方案的強勁需求，也促進了相關技術的應用。該地區龐大的人口基數和持續的數位化進程，顯著提升了基於代理的人工智慧技術的成長潛力。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球基於代理的人工智慧自動化市場：按部署模式分類

  • 現場
  • 雲
  • 混合

第6章：全球基於代理的人工智慧自動化市場：按公司規模分類

  • 大公司
  • 中小企業

第7章 全球基於代理的人工智慧自動化市場：按技術層分類

  • 自主代理和多代理系統
  • 人工智慧驅動的工作流引擎
  • 認知決策模組
  • 整合 API 管理平台

第8章：全球基於代理的人工智慧自動化市場：按功能分類

  • 客戶服務和支援的自動化
  • IT維運與基礎設施自動化
  • 業務流程和工作流程自動化
  • 工業和製造自動化
  • 醫療保健和生命科學領域的自動化
  • 金融服務和風險自動化

第9章 全球基於代理的人工智慧自動化市場：按最終用戶分類

  • 銀行、金融服務、保險業 (BFSI)
  • 醫療和藥品
  • 製造業和工業
  • 零售與電子商務
  • 通訊和資訊科技服務
  • 能源公用事業
  • 政府/公共部門

第10章：全球基於代理的人工智慧自動化市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • OpenAI
  • UiPath
  • Automation Anywhere
  • Microsoft
  • Google（Alphabet）
  • IBM
  • AWS（Amazon Web Services）
  • Salesforce
  • ServiceNow
  • LangChain
  • WorkFusion
  • Blue Prism（SS&C）
  • Pegasystems
  • Sema4.ai
  • Appian
  • CrewAI
  • Kore.ai
  • Aera Technology
Product Code: SMRC37406

According to Stratistics MRC, the Global Agentic AI Automation Market is accounted for $9.5 billion in 2026 and is expected to reach $148.4 billion by 2034 growing at a CAGR of 41.0% during the forecast period. Agentic AI Automation describes autonomous artificial intelligence systems designed to operate with goal-oriented independence, enabling them to plan, reason, and carry out tasks with little or no human input. Unlike conventional automation, these systems utilize advanced cognitive capabilities, contextual awareness, and machine learning to respond effectively to changing conditions. They can decompose complex goals into smaller tasks, manage workflows, and continuously optimize performance. This form of AI is widely used in sectors such as business operations, customer engagement, software engineering, and manufacturing. It significantly reduces manual workload while improving efficiency, scalability, and decision-making speed across modern digital environments and industries.

According to the World Economic Forum (WEF), by 2027, companies expect 42% of business tasks to be automated by AI and other technologies, up from 34% in 2023. This highlights the accelerating role of agentic AI in enterprise automation.

Market Dynamics:

Driver:

Increasing enterprise automation demand

Rising demand for enterprise-wide automation is significantly fueling growth in the Agentic AI Automation market. Businesses are increasingly integrating intelligent autonomous systems to optimize workflows, reduce dependency on manual labor, and enhance operational efficiency. The pressure for rapid decision-making and seamless process coordination encourages the adoption of AI-driven agents capable of managing repetitive and complex tasks. Factors such as increasing labor expenses and limited availability of skilled professionals also contribute to this trend. Organizations are prioritizing scalable and resilient solutions, making agentic AI essential for achieving end-to-end automation across varied business operations and digital infrastructure worldwide.

Restraint:

High implementation and maintenance costs

The high cost of deploying and maintaining agentic AI systems is a major barrier to market expansion. Organizations must invest heavily in advanced infrastructure, cloud resources, data management systems, and specialized expertise to implement these solutions effectively. For smaller enterprises, these financial requirements are often prohibitive. In addition, ongoing expenses related to model updates, training, and system maintenance further increase the total cost of ownership. Integration with legacy systems also adds complexity and expense. Due to these financial constraints, many companies delay or avoid adoption, which limits the overall penetration and growth of agentic AI technologies across industries.

Opportunity:

Expansion of autonomous enterprise systems

The growing development of fully autonomous enterprise systems offers strong opportunities for the Agentic AI Automation market. Businesses are increasingly adopting self-managing digital environments capable of handling workflows, decision-making, and task execution without constant human involvement. Agentic AI supports automation across multiple functions, including finance, human resources, logistics, and customer engagement. As digital transformation accelerates globally, enterprises are seeking more intelligent automation solutions. This trend opens significant growth prospects for technology providers to design and implement advanced agentic AI platforms across various sectors and global business ecosystems.

Threat:

Lack of standardization and interoperability

The absence of uniform standards and system compatibility poses a significant threat to the Agentic AI Automation market. Various AI platforms and tools often function independently, making integration across systems complex and inefficient. This lack of coordination increases development challenges for businesses and leads to fragmented workflows. Without common protocols, ensuring smooth interaction between AI agents and existing IT systems becomes difficult. Additionally, the absence of standardized frameworks limits innovation and creates compatibility issues among different vendors. These challenges raise implementation costs, reduce scalability, and discourage widespread adoption of agentic AI solutions across industries, ultimately slowing market growth and efficiency.

Covid-19 Impact:

The COVID-19 crisis strongly influenced the Agentic AI Automation market by speeding up digital transformation initiatives worldwide. Businesses quickly implemented automation solutions to ensure continuity during lockdowns and labor shortages. The need for remote operations, reduced reliance on human workers, and improved efficiency drove higher adoption of autonomous AI systems. Industries like healthcare, online retail, and IT services saw rapid integration of AI-based automation tools. Although early disruptions in supply chains and delayed projects affected implementation, the overall effect was positive. The pandemic ultimately strengthened the long-term demand for intelligent automation, emphasizing its role in resilient business environments globally.

The business process & workflow automation segment is expected to be the largest during the forecast period

The business process & workflow automation segment is expected to account for the largest market share during the forecast period because of its extensive use across multiple industries and essential organizational functions. Companies are increasingly deploying autonomous AI agents to simplify repetitive activities, manage workflows, and enhance overall efficiency. This segment is widely used in functions such as documentation handling, approval processes, human resources tasks, financial operations, and supply chain management. Its strong integration capability with existing enterprise systems and ability to minimize manual effort further boost adoption.

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

Over the forecast period, the healthcare & pharmaceuticals segment is predicted to witness the highest growth rate, driven by widespread digital transformation and rising adoption of intelligent automation in medical processes. This sector increasingly utilizes agentic AI for assisting clinical decisions, monitoring patients, accelerating drug development, and improving administrative efficiency. The growing focus on personalized treatment and efficient healthcare services further boosts demand. Expanding healthcare data and the need for timely, accurate insights also support adoption. Moreover, increasing investments in healthcare AI solutions and favorable policy support are strengthening the growth potential of this segment worldwide.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to its advanced technological ecosystem, early integration of AI-driven solutions, and strong presence of leading tech firms. The region experiences significant investment in artificial intelligence, cloud infrastructure, and automation across key sectors like banking, healthcare, information technology, and manufacturing. In addition, a large pool of skilled professionals and continuous innovation from major companies reinforce its leadership position. Rising demand for intelligent automation to boost efficiency and productivity continues to solidify North America's dominance in the global market landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digital adoption, expanding industrial activities, and increasing use of advanced technologies in developing economies. Major countries like China, India, Japan, and South Korea are making substantial investments in artificial intelligence, cloud services, and automation systems. Growth in IT infrastructure, rising innovation ecosystems, and favorable government policies further support market expansion. Moreover, strong demand for affordable automation solutions in industries such as manufacturing, healthcare, and financial services boosts adoption. The region's large population and ongoing digitalization significantly enhance growth potential for agentic AI technologies.

Key players in the market

Some of the key players in Agentic AI Automation Market include OpenAI, UiPath, Automation Anywhere, Microsoft, Google (Alphabet), IBM, AWS (Amazon Web Services), Salesforce, ServiceNow, LangChain, WorkFusion, Blue Prism (SS&C), Pegasystems, Sema4.ai, Appian, CrewAI, Kore.ai and Aera Technology.

Key Developments:

In February 2026, Automation Anywhere and NxtWave launched India's largest AI & Agentic Process Automation (APA) upskilling initiative to become next-gen AI innovators and builders. Unveiled at the India AI Impact Summit, this collaboration will help over 1,00,000 students and young professionals across India develop critical agentic AI and APA skills.

In October 2025, Microsoft Corp. on unveiled AI innovations, leveraging ambient and generative technologies, to improve the patient journey, reduce the workflow burden across care teams and enhance the financial integrity of healthcare provider organizations. Microsoft is expanding the capabilities of its leading AI clinical assistant, Dragon Copilot, by introducing the first commercially available ambient experience created for nursing workflows and new extensibility capabilities that allow partners to unlock additional value for Dragon Copilot users.

In September 2025, UiPath announced a partnership with Snowflake, the AI Data Cloud company, uniting UiPath's Agentic Automation platform with Snowflake Cortex AI. This collaboration empowers businesses to quickly turn data insights into faster and smarter autonomous actions, bridging the gap between vision and impact across enterprise business processes.

Deployment Models Covered:

  • On-Premise
  • Cloud
  • Hybrid

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Technology Layers Covered:

  • Autonomous Agents & Multi-Agent Systems
  • AI-Orchestrated Workflow Engines
  • Cognitive Decision-Making Modules
  • Integration & API Management Platforms

Functional Applications Covered:

  • Customer Service & Support Automation
  • IT Operations & Infrastructure Automation
  • Business Process & Workflow Automation
  • Industrial & Manufacturing Automation
  • Healthcare & Life Sciences Automation
  • Financial Services & Risk Automation

End Users Covered:

  • BFSI (Banking, Financial Services, Insurance)
  • Healthcare & Pharmaceuticals
  • Manufacturing & Industrial
  • Retail & E-Commerce
  • Telecom & IT Services
  • Energy & Utilities
  • Government & Public Sector

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 Automation Market, By Deployment Model

  • 5.1 On-Premise
  • 5.2 Cloud
  • 5.3 Hybrid

6 Global Agentic AI Automation Market, By Enterprise Size

  • 6.1 Large Enterprises
  • 6.2 Small & Medium Enterprises (SMEs)

7 Global Agentic AI Automation Market, By Technology Layer

  • 7.1 Autonomous Agents & Multi-Agent Systems
  • 7.2 AI-Orchestrated Workflow Engines
  • 7.3 Cognitive Decision-Making Modules
  • 7.4 Integration & API Management Platforms

8 Global Agentic AI Automation Market, By Functional Application

  • 8.1 Customer Service & Support Automation
  • 8.2 IT Operations & Infrastructure Automation
  • 8.3 Business Process & Workflow Automation
  • 8.4 Industrial & Manufacturing Automation
  • 8.5 Healthcare & Life Sciences Automation
  • 8.6 Financial Services & Risk Automation

9 Global Agentic AI Automation Market, By End User

  • 9.1 BFSI (Banking, Financial Services, Insurance)
  • 9.2 Healthcare & Pharmaceuticals
  • 9.3 Manufacturing & Industrial
  • 9.4 Retail & E-Commerce
  • 9.5 Telecom & IT Services
  • 9.6 Energy & Utilities
  • 9.7 Government & Public Sector

10 Global Agentic AI Automation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 OpenAI
  • 13.2 UiPath
  • 13.3 Automation Anywhere
  • 13.4 Microsoft
  • 13.5 Google (Alphabet)
  • 13.6 IBM
  • 13.7 AWS (Amazon Web Services)
  • 13.8 Salesforce
  • 13.9 ServiceNow
  • 13.10 LangChain
  • 13.11 WorkFusion
  • 13.12 Blue Prism (SS&C)
  • 13.13 Pegasystems
  • 13.14 Sema4.ai
  • 13.15 Appian
  • 13.16 CrewAI
  • 13.17 Kore.ai
  • 13.18 Aera Technology

List of Tables

  • Table 1 Global Agentic AI Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Agentic AI Automation Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 3 Global Agentic AI Automation Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 4 Global Agentic AI Automation Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 5 Global Agentic AI Automation Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 6 Global Agentic AI Automation Market Outlook, By Enterprise Size (2023-2034) ($MN)
  • Table 7 Global Agentic AI Automation Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 8 Global Agentic AI Automation Market Outlook, By Small & Medium Enterprises (SMEs) (2023-2034) ($MN)
  • Table 9 Global Agentic AI Automation Market Outlook, By Technology Layer (2023-2034) ($MN)
  • Table 10 Global Agentic AI Automation Market Outlook, By Autonomous Agents & Multi-Agent Systems (2023-2034) ($MN)
  • Table 11 Global Agentic AI Automation Market Outlook, By AI-Orchestrated Workflow Engines (2023-2034) ($MN)
  • Table 12 Global Agentic AI Automation Market Outlook, By Cognitive Decision-Making Modules (2023-2034) ($MN)
  • Table 13 Global Agentic AI Automation Market Outlook, By Integration & API Management Platforms (2023-2034) ($MN)
  • Table 14 Global Agentic AI Automation Market Outlook, By Functional Application (2023-2034) ($MN)
  • Table 15 Global Agentic AI Automation Market Outlook, By Customer Service & Support Automation (2023-2034) ($MN)
  • Table 16 Global Agentic AI Automation Market Outlook, By IT Operations & Infrastructure Automation (2023-2034) ($MN)
  • Table 17 Global Agentic AI Automation Market Outlook, By Business Process & Workflow Automation (2023-2034) ($MN)
  • Table 18 Global Agentic AI Automation Market Outlook, By Industrial & Manufacturing Automation (2023-2034) ($MN)
  • Table 19 Global Agentic AI Automation Market Outlook, By Healthcare & Life Sciences Automation (2023-2034) ($MN)
  • Table 20 Global Agentic AI Automation Market Outlook, By Financial Services & Risk Automation (2023-2034) ($MN)
  • Table 21 Global Agentic AI Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 22 Global Agentic AI Automation Market Outlook, By BFSI (Banking, Financial Services, Insurance) (2023-2034) ($MN)
  • Table 23 Global Agentic AI Automation Market Outlook, By Healthcare & Pharmaceuticals (2023-2034) ($MN)
  • Table 24 Global Agentic AI Automation Market Outlook, By Manufacturing & Industrial (2023-2034) ($MN)
  • Table 25 Global Agentic AI Automation Market Outlook, By Retail & E-Commerce (2023-2034) ($MN)
  • Table 26 Global Agentic AI Automation Market Outlook, By Telecom & IT Services (2023-2034) ($MN)
  • Table 27 Global Agentic AI Automation Market Outlook, By Energy & Utilities (2023-2034) ($MN)
  • Table 28 Global Agentic AI Automation Market Outlook, By Government & Public Sector (2023-2034) ($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.