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市场调查报告书
商品编码
1798036

2032 年自主人工智慧和自主代理市场预测：按类型、组件、部署、技术、最终用户和地区进行的全球分析

Autonomous AI and Autonomous Agents Market Forecasts to 2032 - Global Analysis By Type (Autonomous AI and Autonomous Agents), Component (Hardware, Software, Services), Deployment, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球自主人工智慧和自主代理市场预计在 2025 年达到 119.3 亿美元，到 2032 年将达到 1,592.5 亿美元，预测期内的复合年增长率为 44.8%。

自主人工智慧是指能够独立执行任务、做出决策并适应不断变化的环境而无需人工干预的人工智慧系统。这些系统利用机器学习、推理和决策演算法在动态环境中运行，并优化效能和效率。自主代理是自主人工智慧的具体实现，旨在代表使用者或组织采取行动，感知其环境、解读讯息并采取行动以实现预定目标。它们涵盖软体机器人和机器人系统等多种类型，并不断从互动和回馈中学习，以改善结果、减少错误并在复杂的现实场景中可靠地运作。

工业应用增加

製造业正在利用自主系统来优化生产效率并降低营运成本。在物流和供应链领域，人工智慧代理正在简化库存管理并提高交付准确性。医疗保健行业正在使用自主人工智慧进行诊断、病患监测和个人化治疗计划。零售和电子商务平台正在采用人工智慧代理来改善客户体验并实现支援自动化。总而言之，自主技术的跨产业整合将推动需求、创新和市场扩张。

监管和道德问题

政府对人工智慧应用的严格监管正在减缓产品发布速度，并增加合规成本。各国政策差异导致市场分化，并为跨国公司带来营运挑战。隐私侵犯和决策偏差等道德问题正在降低消费者的信任度和采用率。人工智慧发生错误或事故时的责任问题会为开发者和使用者带来法律风险。总而言之，这些法规和道德障碍阻碍了创新，限制了市场扩张，并增加了业务的复杂性。

与物联网和机器人技术的集成

连网型设备提供切实可行的洞察，使自主代理能够更快、更准确地做出决策。机器人技术的整合正透过自动化跨行业重复性和复杂任务来提高业务效率。物联网与人工智慧结合的系统可以改善预测性维护，减少停机时间和营运成本。这种协同效应正在推动製造业、物流业、医疗保健业和智慧城市等领域的采用。总而言之，创造更智慧、更具适应性的自主解决方案将加速创新、可扩展性和市场成长。

资料隐私和安全问题

GDPR 和 CCPA 等严格法规正在增加采用这些技术的公司的合规成本。对资料外洩的担忧正在降低客户信任度，并减缓医疗保健和金融等敏感领域的采用速度。人工智慧系统中的网路安全漏洞增加了恶意攻击和运行故障的风险。由于个人资料处理不当可能承担法律责任，公司可能会放慢创新速度。总体而言，这些问题增加了成本，限制了采用，并减缓了技术进步，阻碍了市场的成长。

COVID-19的影响

新冠疫情显着加速了自主人工智慧和自主代理的采用，因为各组织都在努力在限制措施和人员不足的情况下维持业务。医疗保健、物流和远端营运领域对智慧自动化的需求不断增长，凸显了其效率、安全性和成本节约的优势。供应链中断和业务重点的转变促使人们投资于能够在极少人工干预的情况下做出决策的自主系统。然而，技术采用缓慢、预算削减和监管挑战暂时减缓了市场扩张。整体而言，疫情凸显了自主人工智慧对于韧性和业务永续营运的战略重要性。

预计软体领域将成为预测期内最大的领域

软体领域预计将在预测期内占据最大的市场占有率，这得益于其支援先进演算法和机器学习模型，从而实现自主决策。它提供了一个即时数据处理平台，提高了系统的准确性和效率。软体解决方案有助于与现有IT和营运基础设施无缝整合。人工智慧模型的持续更新和改进增强了跨行业的适应性。总而言之，软体作为支柱，加速了全球自主系统的部署和应用。

预计製造业在预测期内的复合年增长率最高

预计製造业将在预测期内实现最高成长率，这得益于重复性和复杂生产任务的自动化，从而提高了业务效率。自动化还能实现预测性维护，减少停机时间并降低成本。自主代理优化了供应链管理，确保及时交付和资源配置。人工智慧驱动的品管提高了产品的一致性并减少了错误。此外，智慧工厂和工业4.0倡议的日益普及将进一步推动市场成长。

比最大的地区

在预测期内，北美预计将占据最大的市场占有率，这得益于先进的研究、企业对人工智慧的广泛采用以及国防、医疗保健和交通运输等领域对自主系统的需求。美国和加拿大是自动驾驶汽车、人工智慧主导分析和智慧自动化平台的先驱。关键技术包括人工智慧编配、强化学习和云端基础的自主框架。科技公司和学术机构之间的伙伴关係将推动创新。道德问题、系统复杂性和网路安全风险是采用的障碍，但有利的监管措施支持了市场成长。

复合年增长率最高的地区

在预测期内，由于中国、日本、印度和韩国在製造业、物流和智慧城市计划中大力应用人工智慧，预计亚太地区将实现最高的复合年增长率。政府不断推进的工业4.0和自动化倡议，以及对人工智慧新兴企业的投资，正在推动需求成长。新兴趋势包括自主机器人、人工智慧供应链管理和人工智慧预测性维护。技术提供者与当地企业之间日益增多的合作也推动了市场成长。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 二手研究资料
    • 先决条件

第三章市场走势分析

  • 介绍
  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球自主人工智慧和自主代理市场（按类型）

  • 介绍
  • 自主人工智慧
  • 自主代理

6. 全球自主人工智慧和自主代理市场（按组件划分）

  • 介绍
  • 硬体
    • 感测器和致动器
    • 处理器和晶片组
  • 软体
    • 人工智慧演算法和模型
    • 平台和框架
  • 服务
    • 咨询
    • 整合与部署
    • 维护和支援

7. 全球自主人工智慧和自主代理市场（按部署）

  • 介绍
  • 云端基础
  • 本地

8. 全球自主人工智慧和自主代理市场（按技术）

  • 介绍
  • 机器学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 强化学习
  • 机器人流程自动化（RPA）
  • 其他的

9. 全球自主人工智慧和自主代理市场（按最终用户划分）

  • 介绍
  • 卫生保健
  • 车
  • 零售
  • 银行、金融服务和保险
  • 製造业
  • 国防安全
  • 其他的

10. 全球自主人工智慧和自主代理市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章：企业概况

  • Microsoft
  • IBM
  • Amazon
  • Google
  • Oracle
  • SAP
  • Salesforce
  • NVIDIA
  • OpenAI
  • Anthropic
  • Meta
  • ServiceNow
  • Aisera
  • Avanade
  • PwC
  • UiPath
  • Automation Anywhere
  • Mistral AI
Product Code: SMRC30406

According to Stratistics MRC, the Global Autonomous AI and Autonomous Agents Market is accounted for $11.93 billion in 2025 and is expected to reach $159.25 billion by 2032 growing at a CAGR of 44.8% during the forecast period. Autonomous AI refers to artificial intelligence systems capable of performing tasks independently, making decisions, and adapting to changing environments without human intervention. These systems leverage machine learning, reasoning, and decision-making algorithms to operate in dynamic settings, optimizing performance and efficiency. Autonomous agents are specific implementations of autonomous AI designed to act on behalf of users or organizations, perceiving their environment, interpreting information, and executing actions to achieve predefined goals. They can range from software bots to robotic systems, continuously learning from interactions and feedback to improve outcomes, reduce errors, and operate reliably in complex, real-world scenarios.

Market Dynamics:

Driver:

Rising adoption in industries

Manufacturing sectors are using autonomous systems to optimize production efficiency and reduce operational costs. In logistics and supply chain, AI agents streamline inventory management and improve delivery accuracy. The healthcare industry leverages autonomous AI for diagnostics, patient monitoring, and personalized treatment plans. Retail and e-commerce platforms adopt AI agents to enhance customer experience and automate support. Overall, cross-industry integration of autonomous technologies fuels demand, innovation, and market expansion.

Restraint:

Regulatory and ethical concerns

Strict government regulations on AI deployment delay product launches and increase compliance costs. Varying policies across countries create market fragmentation and operational challenges for global companies. Ethical concerns, such as privacy violations and biased decision-making, reduce consumer trust and adoption. Liability issues in case of AI errors or accidents raise legal risks for developers and users. Overall, these regulatory and ethical hurdles slow innovation, limit market expansion, and increase operational complexity.

Opportunity:

Integration with IoT and robotics

Connected devices provide actionable insights, allowing autonomous agents to make faster and more accurate decisions. Robotics integration enhances operational efficiency by automating repetitive and complex tasks across industries. Combined IoT-AI systems improve predictive maintenance, reducing downtime and operational costs. This synergy drives adoption in manufacturing, logistics, healthcare, and smart cities. Overall, it accelerates innovation, scalability, and market growth by creating smarter, more adaptive autonomous solutions.

Threat:

Data privacy and security issues

Strict regulations like GDPR and CCPA increase compliance costs for companies deploying these technologies. Fear of data breaches reduces customer trust and slows adoption in sensitive sectors such as healthcare and finance. Cybersecurity vulnerabilities in AI systems raise the risk of malicious attacks and operational failures. Companies may delay innovation due to potential legal liabilities linked to mishandling personal data. Overall, these issues create barriers to market growth by increasing costs, limiting adoption, and slowing technological advancements.

Covid-19 Impact:

The Covid-19 pandemic significantly accelerated the adoption of autonomous AI and autonomous agents as organizations sought to maintain operations amid restrictions and workforce limitations. Demand increased for intelligent automation in healthcare, logistics, and remote operations, highlighting efficiency, safety, and cost-saving benefits. Supply chain disruptions and shifting business priorities prompted investments in autonomous systems capable of decision-making with minimal human intervention. However, delays in technology deployment, reduced budgets, and regulatory challenges temporarily slowed market expansion. Overall, the pandemic underscored the strategic importance of autonomous AI for resilience and operational continuity.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period by enabling advanced algorithms and machine learning models that power autonomous decision-making. It provides the platforms for real-time data processing, improving system accuracy and efficiency. Software solutions facilitate seamless integration with existing IT and operational infrastructures. Continuous updates and AI model improvements enhance adaptability across industries. Overall, software acts as the backbone, accelerating deployment and adoption of autonomous systems globally.

The manufacturing segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the manufacturing segment is predicted to witness the highest growth rate by automating repetitive and complex production tasks, increasing operational efficiency. It enables predictive maintenance, reducing downtime and saving costs. Autonomous agents optimize supply chain management, ensuring timely delivery and resource allocation. AI-powered quality control improves product consistency and reduces errors. Moreover, growing adoption of smart factories and Industry 4.0 initiatives further accelerates market growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share fuelled by advanced research, high enterprise AI adoption, and demand for autonomous systems in sectors like defense, healthcare, and transportation. The U.S. and Canada are pioneers in autonomous vehicles, AI-driven analytics, and intelligent automation platforms. Key technologies include AI orchestration, reinforcement learning, and cloud-based autonomous frameworks. Partnerships between tech companies and academic institutions promote innovation. Market growth is supported by favourable regulatory policies, although ethical concerns, system complexity, and cybersecurity risks pose adoption barriers.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to strong adoption of AI in manufacturing, logistics, and smart city projects across China, Japan, India, and South Korea. Rising government initiatives for Industry 4.0 and automation, along with investments in AI startups, are driving demand. Emerging trends include autonomous robotics, AI-powered supply chain management, and AI-driven predictive maintenance. Increasing collaborations between technology providers and local enterprises are fostering market growth.

Key players in the market

Some of the key players in Autonomous AI and Autonomous Agents Market include Microsoft, IBM, Amazon, Google, Oracle, SAP, Salesforce, NVIDIA, OpenAI, Anthropic, Meta, ServiceNow, Aisera, Avanade, PwC, UiPath, Automation Anywhere and Mistral AI.

Key Developments:

In July 2025, Amazon introduced Amazon Bedrock AgentCore, a comprehensive suite designed to facilitate the deployment and management of AI agents. This platform provides tools and infrastructure to support the development of autonomous agents capable of executing complex tasks across various domains.

In January 2025, Microsoft and PwC announced a strategic collaboration aimed at transforming industries with AI agents. This partnership focuses on harnessing AI's potential to drive business value, enhance customer engagement, and streamline operations across various sectors.

In May 2024, IBM and Salesforce announced an expanded partnership to provide pre-built AI agents and tools for organizations. This collaboration aims to enable businesses to transform sales and service processes with AI while maintaining control over their IT environments.

Types Covered:

  • Autonomous AI
  • Autonomous Agents

Components Covered:

  • Hardware
  • Software
  • Services

Deployments Covered:

  • Cloud-based
  • On-premise

Technologies Covered:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning
  • Robotics Process Automation (RPA)
  • Other Technologies

End Users Covered:

  • Healthcare
  • Automotive
  • Retail
  • Banking, Financial Services, Insurance
  • Manufacturing
  • Defense & Security
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous AI and Autonomous Agents Market, By Type

  • 5.1 Introduction
  • 5.2 Autonomous AI
  • 5.3 Autonomous Agents

6 Global Autonomous AI and Autonomous Agents Market, By Component

  • 6.1 Introduction
  • 6.2 Hardware
    • 6.2.1 Sensors & Actuators
    • 6.2.2 Processors & Chipsets
  • 6.3 Software
    • 6.3.1 AI Algorithms & Models
    • 6.3.2 Platforms & Frameworks
  • 6.4 Services
    • 6.4.1 Consulting
    • 6.4.2 Integration & Deployment
    • 6.4.3 Maintenance & Support

7 Global Autonomous AI and Autonomous Agents Market, By Deployment

  • 7.1 Introduction
  • 7.2 Cloud-based
  • 7.3 On-premise

8 Global Autonomous AI and Autonomous Agents Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning
  • 8.3 Natural Language Processing (NLP)
  • 8.4 Computer Vision
  • 8.5 Reinforcement Learning
  • 8.6 Robotics Process Automation (RPA)
  • 8.7 Other Technologies

9 Global Autonomous AI and Autonomous Agents Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare
  • 9.3 Automotive
  • 9.4 Retail
  • 9.5 Banking, Financial Services, Insurance
  • 9.6 Manufacturing
  • 9.7 Defense & Security
  • 9.8 Other End Users

10 Global Autonomous AI and Autonomous Agents Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Microsoft
  • 12.2 IBM
  • 12.3 Amazon
  • 12.4 Google
  • 12.5 Oracle
  • 12.6 SAP
  • 12.7 Salesforce
  • 12.8 NVIDIA
  • 12.9 OpenAI
  • 12.10 Anthropic
  • 12.11 Meta
  • 12.12 ServiceNow
  • 12.13 Aisera
  • 12.14 Avanade
  • 12.15 PwC
  • 12.16 UiPath
  • 12.17 Automation Anywhere
  • 12.18 Mistral AI

List of Tables

  • Table 1 Global Autonomous AI and Autonomous Agents Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous AI and Autonomous Agents Market Outlook, By Type (2024-2032) ($MN)
  • Table 3 Global Autonomous AI and Autonomous Agents Market Outlook, By Autonomous AI (2024-2032) ($MN)
  • Table 4 Global Autonomous AI and Autonomous Agents Market Outlook, By Autonomous Agents (2024-2032) ($MN)
  • Table 5 Global Autonomous AI and Autonomous Agents Market Outlook, By Component (2024-2032) ($MN)
  • Table 6 Global Autonomous AI and Autonomous Agents Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 7 Global Autonomous AI and Autonomous Agents Market Outlook, By Sensors & Actuators (2024-2032) ($MN)
  • Table 8 Global Autonomous AI and Autonomous Agents Market Outlook, By Processors & Chipsets (2024-2032) ($MN)
  • Table 9 Global Autonomous AI and Autonomous Agents Market Outlook, By Software (2024-2032) ($MN)
  • Table 10 Global Autonomous AI and Autonomous Agents Market Outlook, By AI Algorithms & Models (2024-2032) ($MN)
  • Table 11 Global Autonomous AI and Autonomous Agents Market Outlook, By Platforms & Frameworks (2024-2032) ($MN)
  • Table 12 Global Autonomous AI and Autonomous Agents Market Outlook, By Services (2024-2032) ($MN)
  • Table 13 Global Autonomous AI and Autonomous Agents Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 14 Global Autonomous AI and Autonomous Agents Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 15 Global Autonomous AI and Autonomous Agents Market Outlook, By Maintenance & Support (2024-2032) ($MN)
  • Table 16 Global Autonomous AI and Autonomous Agents Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 17 Global Autonomous AI and Autonomous Agents Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 18 Global Autonomous AI and Autonomous Agents Market Outlook, By On-premise (2024-2032) ($MN)
  • Table 19 Global Autonomous AI and Autonomous Agents Market Outlook, By Technology (2024-2032) ($MN)
  • Table 20 Global Autonomous AI and Autonomous Agents Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 21 Global Autonomous AI and Autonomous Agents Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 22 Global Autonomous AI and Autonomous Agents Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 23 Global Autonomous AI and Autonomous Agents Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 24 Global Autonomous AI and Autonomous Agents Market Outlook, By Robotics Process Automation (RPA) (2024-2032) ($MN)
  • Table 25 Global Autonomous AI and Autonomous Agents Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 26 Global Autonomous AI and Autonomous Agents Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Autonomous AI and Autonomous Agents Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 28 Global Autonomous AI and Autonomous Agents Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 29 Global Autonomous AI and Autonomous Agents Market Outlook, By Retail (2024-2032) ($MN)
  • Table 30 Global Autonomous AI and Autonomous Agents Market Outlook, By Banking, Financial Services, Insurance (2024-2032) ($MN)
  • Table 31 Global Autonomous AI and Autonomous Agents Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 32 Global Autonomous AI and Autonomous Agents Market Outlook, By Defense & Security (2024-2032) ($MN)
  • Table 33 Global Autonomous AI and Autonomous Agents Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.