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市場調查報告書

商品編碼

2021739

基於代理的人工智慧市場預測至2034年：按部署類型、功能、最終用戶和地區分類的全球分析

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: 2026年04月17日 | 出版商:

Stratistics Market Research Consulting | 英文 | 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，全球基於代理的 AI 市場規模將達到 103 億美元，並在預測期內以 45.6% 的複合年成長率成長，到 2034 年將達到 2076 億美元。

基於代理的人工智慧是指能夠在幾乎無需人工干預的情況下自主執行動作、做出決策並以目標為導向行事的人工智慧系統。這些系統能夠感知周圍環境、制定計劃、執行任務以實現目標，並動態適應不斷變化的情況。它們的應用範圍涵蓋機器人、自動駕駛汽車和智慧工業流程等領域，能夠提高效率並最大限度地減少人為干預。儘管基於代理的人工智慧在提高生產力和技術進步方面具有優勢，但也帶來了倫理和安全方面的挑戰，需要進行全面的監控、監管和謹慎部署，以確保其負責任且安全地使用。

根據史丹佛大學 HAI 2024 年人工智慧指數，2023 年生成式人工智慧領域的投資額達到 252 億美元，約 2022 年的八倍。這反映出企業對生成式人工智慧的快速採用和日益成長的關注。

對自動化日益成長的需求

日益成長的自動化需求正顯著推動基於代理的人工智慧市場發展。各組織機構越來越依賴自主人工智慧系統來執行複雜任務、最佳化工作流程並減少人為干預。透過實現即時決策和營運管理，基於代理的人工智慧能夠提高效率、準確性和生產力。製造業、物流業和服務業等行業正在採用這些技術來簡化流程、降低成本並保持競爭力。快速交付成果、提高生產力和減少錯誤的壓力，正促使企業持續投資於能夠自主運作並支援組織發展的高階人工智慧代理。

倫理和監管方面的挑戰

倫理考量和監管限制阻礙了基於代理的人工智慧市場的發展。自主人工智慧系統在決策的問責制、公平性和透明度方面提出了挑戰。不斷變化的法規和區域政策差異造成了合規障礙。企業面臨人工智慧行為可能影響隱私或造成意外損害而受到嚴格審查的風險。在敏感情況下，自主決策所帶來的困境進一步限制了其應用。企業需要建構管治框架、監控機制和合規措施，這增加了成本並延緩了應用流程。

智慧城市和基礎設施領域的擴張

智慧城市領域為基於代理的人工智慧（AI）的部署提供了廣闊的前景。自主AI代理可以管理城市系統，例如交通控制、能源網路、廢棄物管理和公共安全。即時數據處理和自適應決策能夠提高效率、降低能源和資源消耗，並提升居民的生活品質。政府和私人企業對智慧基礎設施的投資正在推動對AI解決方案的需求。透過部署基於代理商的AI，城市可以更有效率、永續、更安全地運作。這一趨勢創造了巨大的市場潛力，使AI開發人員能夠為全球各大大都會圈的更智慧的城市規劃、永續營運和更優質的公共服務做出貢獻。

公眾輿論和信任上的挑戰

對信任和公眾輿論的擔憂正威脅著基於代理的人工智慧市場。由於自主人工智慧代理會做出獨立決策，因此人們開始關注其課責、倫理行為和可靠性。人工智慧的錯誤和事故可能會損害公眾信任，並延緩其普及。對失業的擔憂也可能引發員工和消費者的抵制。為了建立信任，企業必須優先考慮透明度、可解釋性和溝通。忽視這些社會和倫理問題可能會限制其普及，阻礙市場成長，並損害實施基於代理的人工智慧技術的組織的聲譽，這凸顯了負責任的採用實踐的重要性。

新型冠狀病毒（COVID-19）的影響：

新冠疫情危機透過增加對自主遠端操作的需求，對基於代理的人工智慧市場產生了影響。封鎖和社交距離的措施迫使各行各業採用人工智慧解決方案來維持生產力並防止業務流程中斷。在醫療保健、物流和製造業等領域，基於代理的人工智慧被應用於預測分析、遠端監控和自主決策等任務。儘管由於供應鏈問題和部署延遲，出現了一些暫時的放緩，但疫情凸顯了自主人工智慧在應對緊急情況方面的重要性。

在預測期內，雲端原生代理平台細分市場預計將成為最大的細分市場。

由於其柔軟性、擴充性和易於部署的特點，雲端原生智慧體平台預計將在預測期內佔據最大的市場佔有率。透過利用集中式雲端基礎設施，企業可以有效率地管理自主人工智慧代理，即時監控其運作狀態，並整合跨職能營運。雲端原生解決方案能夠快速擴展人工智慧能力，同時減少對大規模本地基礎架構的需求。這些平台還支援高級分析、協作工作流程和遠端訪問，使其在醫療保健、金融和製造業等行業極具吸引力。

在預測期內，醫療保健和生命科學產業預計將呈現最高的複合年成長率。

在預測期內，醫療保健和生命科學領域預計將呈現最高的成長率，這主要得益於自主人工智慧在診斷、個人化醫療、病患監測和機器人手術等領域的廣泛應用。提高醫療效率、降低成本和改善患者預後的需求正在推動人工智慧的廣泛應用。人工智慧代理與遠端醫療、預測分析和醫院管理系統的整合將提升營運效率和決策能力。此外，人工智慧驅動的藥物研發工作也正在擴大市場潛力。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這主要得益於其強大的技術基礎設施、人工智慧的廣泛應用以及眾多領先科技公司的聚集。醫療保健、金融、製造和汽車行業對研發、自主系統和雲端解決方案的大力投資，正在鞏固該地區的市場地位。政府的支持政策、高素質的勞動力以及對科技的早期應用，進一步推動了成長。隨著對數位轉型和自動化的重視，以及對人工智慧驅動的即時決策日益成長的需求，北美有望繼續保持其作為基於代理的人工智慧領先市場的地位，並在全球應用和技術進步方面保持競爭優勢。

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，這主要得益於數位化進程的加速、自主解決方案的廣泛應用以及對人工智慧投資的不斷成長。在新興市場，人工智慧正被整合到醫療保健、工業自動化和智慧基礎設施項目中，以實現營運現代化。豐富的技能型勞動力、有利的政府政策以及企業對人工智慧優勢日益增強的認知，都為市場擴張提供了支持。隨著基於代理的人工智慧在工作流程自動化、預測性決策和效率提升方面的應用日益廣泛，亞太市場預計將經歷快速成長，為各行各業創造巨大機遇，並確立其作為自主人工智慧技術領先成長區域的地位。

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
- 主要參與者（最多3家公司）的SWOT分析
區域細分
- 根據客戶要求，我們可以提供主要國家和地區的市場估算和預測，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主要企業進行基準分析。

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9章戰略市場資訊

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10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11章：公司簡介

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

簡介目錄圖表

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

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

簡介目錄圖表

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)