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人工智能 AI代理

市場調查報告書

商品編碼

2111069

人工智慧代理市場預測至2034年—按代理類型、部署模式、技術、應用、最終用戶和地區分類的全球分析

AI Agent Market Forecasts to 2034 - Global Analysis By Agent Type, Deployment Mode, Technology, Application, End User and By Geography

出版日期: 2026年08月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球 AI 代理市場規模將達到 72 億美元，到 2034 年將達到 784 億美元，預測期內複合年成長率為 34.8%。

人工智慧代理是一種智慧軟體系統，它利用人工智慧自主執行任務、做出決策，並與使用者和其他系統互動以實現特定目標。這些代理包括對話代理、自主任務代理、多代理系統、決策智慧代理、工作流程自動化代理、編碼和軟體開發代理、客戶服務代理以及研發代理，它們基於大規模語言模型、機器學習、自然語言處理、電腦視覺、強化學習和知識圖譜等技術構建，並具備搜尋、增強和生成能力。這項技術可以幫助組織實現複雜工作流程的自動化、增強客戶互動、改善決策並提高營運效率。

對自動化和智慧決策的需求日益成長

對自動化和智慧決策日益成長的需求是人工智慧代理市場的主要驅動力。各組織都在尋求自動化複雜的工作流程，減少人工操作，並實現更快、更明智的決策。人工智慧代理可以處理從客戶服務到軟體開發等各種任務，使員工能夠專注於更高價值的工作。隨著人工智慧代理不斷學習和適應，其價值也不斷提升。隨著各組織推動數位轉型，人工智慧代理的應用也持續顯著成長。

實施成本高且整合複雜。

高昂的實施成本和複雜的整合流程阻礙了人工智慧代理市場的成長。部署人工智慧代理需要對技術基礎設施、與現有系統的整合以及持續維護進行大量投資。企業在確保代理商的可靠性、安全性和與業務目標的一致性方面面臨許多挑戰。舊有系統通常與現代人工智慧代理平台缺乏相容性。這些成本和複雜性障礙可能導致企業，尤其是中小企業，延遲採用人工智慧代理技術。

大規模語言模型（LLM）和多智慧體系統的進展

大規模語言模型（LLM）和多智慧體系統的進步為人工智慧（AI）智慧體市場帶來了巨大的機會。 LLM能夠實現更高階的自然語言理解與生成，進而提升AI智慧體的能力與通用性。在多智慧體系統中，專業化的智慧體協同完成複雜任務，最終獲得更佳的結果。隨著底層AI模型的不斷改進，AI智慧體的功能和價值將顯著提升，從而創造新的應用場景和市場機會。

資料隱私和安全問題

對資料隱私和安全的擔憂對人工智慧代理市場構成重大威脅。人工智慧代理處理敏感的組織和客戶數據，這會帶來潛在的安全漏洞。遵守包括GDPR和資料保護法在內的法規要求對資料進行安全處理。對資料外洩和未授權存取的擔憂會削弱人們對人工智慧代理的信任。組織必須實施全面的安全措施。這些隱私和安全要求增加了部署的複雜性，並可能成為推廣應用程式的障礙。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了人工智慧代理的普及應用，各組織機構迅速推動營運數位轉型，並尋求適用於遠距辦公環境的自動化解決方案。對數位互動和客戶服務的激增需求，為人工智慧代理的部署創造了機會。這場危機凸顯了自主系統在業務永續營運的重要性。在後疫情時代，這些解決方案已成為支撐組織效率和韌性的關鍵基礎設施。

在預測期內，對話式代理細分市場預計將佔據最大的市場佔有率。

在預測期內，對話式代理商預計將佔據最大的市場佔有率。這主要得益於人工智慧聊天機器人和虛擬助理在客戶服務、員工支援和用戶互動方面的廣泛應用。對話式代理提供自然語言互動功能，在提升使用者體驗的同時降低了支援成本。對話式代理日益成熟，並利用大規模語言模型（LLM），進一步鞏固了其市場主導地位。

在預測期內，自主任務代理領域預計將呈現最高的複合年成長率。

在預測期內，自主任務代理領域預計將呈現最高的成長率，這主要得益於市場對能夠自主執行複雜工作流程和任務而無需人工干預的代理的需求不斷成長。自主任務代理能夠處理多階段流程，根據動態情境做出決策並採取行動。對端到端自動化的日益重視正在推動其應用。隨著人工智慧能力的不斷提升，自主任務代理的市場佔有率可望持續擴大。

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，這主要得益於其在人工智慧創新領域的大量投資、對先進技術的早期應用以及領先的人工智慧代理提供者的存在。該地區對自動化和數位轉型的重視正在推動對人工智慧代理解決方案的需求。大量的技術投資和對營運效率的高度重視也鞏固了其市場主導地位。

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轉型、不斷擴張的科技產業以及主要經濟體對人工智慧能力投資的增加。中國、印度和新加坡等國家在人工智慧應用和智慧體部署方面正經歷顯著成長。各國政府為促進人工智慧創新和數位經濟發展所採取的措施也進一步推動了該地區的市場擴張。

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）
區域分類
- 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。

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
Microsoft
Google
IBM
Amazon Web Services（AWS）
Salesforce
Oracle
ServiceNow
Anthropic
NVIDIA
SAP
Cognizant
Accenture
UiPath
Amelia

簡介目錄圖表

Product Code: SMRC38769

According to Stratistics MRC, the Global AI Agent Market is accounted for $7.2 billion in 2026 and is expected to reach $78.4 billion by 2034, growing at a CAGR of 34.8% during the forecast period. AI Agents are intelligent software systems that leverage artificial intelligence to autonomously perform tasks, make decisions, and interact with users and other systems to achieve specific goals. These agents encompass conversational agents, autonomous task agents, multi-agent systems, decision intelligence agents, workflow automation agents, coding and software development agents, customer service agents, and research and knowledge agents, built on technologies including large language models, machine learning, natural language processing, computer vision, reinforcement learning, and knowledge graphs with retrieval-augmented generation. This technology helps organizations automate complex workflows, enhance customer interactions, improve decision-making, and increase operational efficiency.

Market Dynamics:

Driver:

Increasing demand for automation and intelligent decision-making

The growing demand for automation and intelligent decision-making serves as a primary driver for the AI Agent market. Organizations seek to automate complex workflows, reduce manual effort, and make faster, more informed decisions. AI agents can handle tasks ranging from customer service to software development, freeing human workers for higher-value activities. The ability of AI agents to learn and adapt makes them increasingly valuable. As organizations pursue digital transformation, the adoption of AI agents continues to expand significantly.

Restraint:

High implementation costs and integration complexity

The significant implementation costs and integration complexity pose restraints to the AI Agent market. Deploying AI agents requires substantial investment in technology infrastructure, integration with existing systems, and ongoing maintenance. Organizations face challenges in ensuring agent reliability, safety, and alignment with business goals. Legacy systems often lack compatibility with modern AI agent platforms. These cost and complexity barriers can slow adoption, particularly among smaller organizations.

Opportunity:

Advancements in large language models and multi-agent systems

Advancements in large language models and multi-agent systems present significant opportunities for the AI Agent market. LLMs enable more sophisticated natural language understanding and generation, making AI agents more capable and versatile. Multi-agent systems allow specialized agents to collaborate on complex tasks, improving outcomes. As foundational AI models continue to improve, the capabilities and value of AI agents will expand substantially, creating new use cases and market opportunities.

Threat:

Data privacy and security concerns

Data privacy and security concerns pose significant threats to the AI Agent market. AI agents process sensitive organizational and customer data, creating potential security vulnerabilities. Compliance with regulations including GDPR and data protection laws creates requirements for secure data handling. Concerns about data breaches or unauthorized access can undermine trust in AI agents. Organizations must implement comprehensive security measures. These privacy and security requirements increase implementation complexity and create potential barriers to adoption.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of AI agents as organizations rapidly digitized operations and sought automation solutions for remote work environments. The surge in digital interactions and customer service demands created opportunities for AI agent deployment. The crisis highlighted the value of autonomous systems for business continuity. Post-pandemic, these solutions have become essential infrastructure for organizational efficiency and resilience.

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

The conversational agents segment is expected to account for the largest market share during the forecast period, driven by the widespread adoption of AI-powered chatbots and virtual assistants for customer service, employee support, and user engagement. Conversational agents provide natural language interaction capabilities that enhance user experience and reduce support costs. The increasing sophistication of LLM-powered conversational agents supports market leadership.

The autonomous task agents segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the autonomous task agents segment is predicted to witness the highest growth rate, due to the increasing demand for agents that can independently perform complex workflows and tasks without human intervention. Autonomous task agents handle multi-step processes, making decisions and taking actions based on dynamic conditions. The growing focus on end-to-end automation drives adoption. As AI capabilities advance, autonomous task agents continue to gain market share.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by substantial investment in AI innovation, early adoption of advanced technologies, and the presence of major AI agent providers. The region's focus on automation and digital transformation creates demand for AI agent solutions. Significant technology spending and the emphasis on operational efficiency contribute to market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digital transformation, expanding technology sectors, and growing investment in AI capabilities across major economies. Countries such as China, India, and Singapore are witnessing significant growth in AI adoption and agent deployment. Government initiatives promoting AI innovation and digital economy further contribute to regional market expansion.

Key players in the market

Some of the key players in the AI Agent Market include OpenAI, Microsoft Corporation, Google LLC, IBM Corporation, Amazon Web Services (AWS), Salesforce Inc., Oracle Corporation, ServiceNow Inc., Anthropic, NVIDIA Corporation, SAP SE, Cognizant Technology Solutions, Accenture plc, UiPath Inc., and Amelia.

Key Developments:

In March 2026, Microsoft announced the launch of a new AI agent development platform featuring autonomous task agents and multi-agent orchestration capabilities. The platform enables organizations to build, deploy, and manage intelligent agents for enterprise automation.

In February 2026, Google introduced enhanced AI agent capabilities with improved reasoning and tool-use functions. The enhancements allow agents to perform more complex, multi-step tasks across diverse applications.

Agent Types Covered:

Conversational Agents
Autonomous Task Agents
Multi-Agent Systems
Decision Intelligence Agents
Workflow Automation Agents
Coding & Software Development Agents
Customer Service Agents
Research & Knowledge Agents

Deployment Modes Covered:

Cloud
On-Premises
Hybrid

Technologies Covered:

Large Language Models (LLMs)
Machine Learning
Natural Language Processing (NLP)
Computer Vision
Reinforcement Learning
Knowledge Graphs & Retrieval-Augmented Generation (RAG)

Applications Covered:

Customer Support & Virtual Assistance
Sales & Marketing Automation
Software Development & DevOps
IT Operations & Service Management
Human Resources & Recruitment
Finance & Accounting
Supply Chain & Logistics
Cybersecurity
Healthcare & Clinical Assistance
Research & Business Intelligence

End Users Covered:

BFSI
Healthcare & Life Sciences
Retail & E-commerce
IT & Telecommunications
Manufacturing
Government & Public Sector
Media & Entertainment
Education
Energy & Utilities
Transportation & Logistics

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

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 Agent Market, By Agent Type

5.1 Conversational Agents
5.2 Autonomous Task Agents
5.3 Multi-Agent Systems
5.4 Decision Intelligence Agents
5.5 Workflow Automation Agents
5.6 Coding & Software Development Agents
5.7 Customer Service Agents
5.8 Research & Knowledge Agents

6 Global AI Agent Market, By Deployment Mode

6.1 Cloud
6.2 On-Premises
6.3 Hybrid

7 Global AI Agent Market, By Technology

7.1 Large Language Models (LLMs)
7.2 Machine Learning
7.3 Natural Language Processing (NLP)
7.4 Computer Vision
7.5 Reinforcement Learning
7.6 Knowledge Graphs & Retrieval-Augmented Generation (RAG)

8 Global AI Agent Market, By Application

8.1 Customer Support & Virtual Assistance
8.2 Sales & Marketing Automation
8.3 Software Development & DevOps
8.4 IT Operations & Service Management
8.5 Human Resources & Recruitment
8.6 Finance & Accounting
8.7 Supply Chain & Logistics
8.8 Cybersecurity
8.9 Healthcare & Clinical Assistance
8.10 Research & Business Intelligence

9 Global AI Agent Market, By End User

9.1 BFSI
9.2 Healthcare & Life Sciences
9.3 Retail & E-commerce
9.4 IT & Telecommunications
9.5 Manufacturing
9.6 Government & Public Sector
9.7 Media & Entertainment
9.8 Education
9.9 Energy & Utilities
9.10 Transportation & Logistics

10 Global AI Agent 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 Microsoft
13.3 Google
13.4 IBM
13.5 Amazon Web Services (AWS)
13.6 Salesforce
13.7 Oracle
13.8 ServiceNow
13.9 Anthropic
13.10 NVIDIA
13.11 SAP
13.12 Cognizant
13.13 Accenture
13.14 UiPath
13.15 Amelia

簡介目錄圖表

List of Tables

Table 1 Global AI Agent Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global AI Agent Market Outlook, By Agent Type (2023-2034) ($MN)
Table 3 Global AI Agent Market Outlook, By Conversational Agents (2023-2034) ($MN)
Table 4 Global AI Agent Market Outlook, By Autonomous Task Agents (2023-2034) ($MN)
Table 5 Global AI Agent Market Outlook, By Multi-Agent Systems (2023-2034) ($MN)
Table 6 Global AI Agent Market Outlook, By Decision Intelligence Agents (2023-2034) ($MN)
Table 7 Global AI Agent Market Outlook, By Workflow Automation Agents (2023-2034) ($MN)
Table 8 Global AI Agent Market Outlook, By Coding & Software Development Agents (2023-2034) ($MN)
Table 9 Global AI Agent Market Outlook, By Customer Service Agents (2023-2034) ($MN)
Table 10 Global AI Agent Market Outlook, By Research & Knowledge Agents (2023-2034) ($MN)
Table 11 Global AI Agent Market Outlook, By Deployment Mode (2023-2034) ($MN)
Table 12 Global AI Agent Market Outlook, By Cloud (2023-2034) ($MN)
Table 13 Global AI Agent Market Outlook, By On-Premises (2023-2034) ($MN)
Table 14 Global AI Agent Market Outlook, By Hybrid (2023-2034) ($MN)
Table 15 Global AI Agent Market Outlook, By Technology (2023-2034) ($MN)
Table 16 Global AI Agent Market Outlook, By Large Language Models (LLMs) (2023-2034) ($MN)
Table 17 Global AI Agent Market Outlook, By Machine Learning (2023-2034) ($MN)
Table 18 Global AI Agent Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
Table 19 Global AI Agent Market Outlook, By Computer Vision (2023-2034) ($MN)
Table 20 Global AI Agent Market Outlook, By Reinforcement Learning (2023-2034) ($MN)
Table 21 Global AI Agent Market Outlook, By Knowledge Graphs & Retrieval-Augmented Generation (RAG) (2023-2034) ($MN)
Table 22 Global AI Agent Market Outlook, By Application (2023-2034) ($MN)
Table 23 Global AI Agent Market Outlook, By Customer Support & Virtual Assistance (2023-2034) ($MN)
Table 24 Global AI Agent Market Outlook, By Sales & Marketing Automation (2023-2034) ($MN)
Table 25 Global AI Agent Market Outlook, By Software Development & DevOps (2023-2034) ($MN)
Table 26 Global AI Agent Market Outlook, By IT Operations & Service Management (2023-2034) ($MN)
Table 27 Global AI Agent Market Outlook, By Human Resources & Recruitment (2023-2034) ($MN)
Table 28 Global AI Agent Market Outlook, By Finance & Accounting (2023-2034) ($MN)
Table 29 Global AI Agent Market Outlook, By Supply Chain & Logistics (2023-2034) ($MN)
Table 30 Global AI Agent Market Outlook, By Cybersecurity (2023-2034) ($MN)
Table 31 Global AI Agent Market Outlook, By Healthcare & Clinical Assistance (2023-2034) ($MN)
Table 32 Global AI Agent Market Outlook, By Research & Business Intelligence (2023-2034) ($MN)
Table 33 Global AI Agent Market Outlook, By End User (2023-2034) ($MN)
Table 34 Global AI Agent Market Outlook, By BFSI (2023-2034) ($MN)
Table 35 Global AI Agent Market Outlook, By Healthcare & Life Sciences (2023-2034) ($MN)
Table 36 Global AI Agent Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
Table 37 Global AI Agent Market Outlook, By IT & Telecommunications (2023-2034) ($MN)
Table 38 Global AI Agent Market Outlook, By Manufacturing (2023-2034) ($MN)
Table 39 Global AI Agent Market Outlook, By Government & Public Sector (2023-2034) ($MN)
Table 40 Global AI Agent Market Outlook, By Media & Entertainment (2023-2034) ($MN)
Table 41 Global AI Agent Market Outlook, By Education (2023-2034) ($MN)
Table 42 Global AI Agent Market Outlook, By Energy & Utilities (2023-2034) ($MN)
Table 43 Global AI Agent Market Outlook, By Transportation & Logistics (2023-2034) ($MN)