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1798036

2032 年自主人工智慧和自主代理市場預測：按類型、組件、部署、技術、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球自主人工智慧和自主代理市場預計在 2025 年達到 119.3 億美元，到 2032 年將達到 1,592.5 億美元，預測期內的複合年成長率為 44.8%。

自主人工智慧是指能夠獨立執行任務、做出決策並適應不斷變化的環境而無需人工干預的人工智慧系統。這些系統利用機器學習、推理和決策演算法在動態環境中運行，並最佳化效能和效率。自主代理是自主人工智慧的具體實現，旨在代表使用者或組織採取行動，感知其環境、解讀訊息並採取行動以實現預定目標。它們涵蓋軟體機器人和機器人系統等多種類型，並不斷從互動和回饋中學習，以改善結果、減少錯誤並在複雜的現實場景中可靠地運作。

工業應用增加

製造業正在利用自主系統來最佳化生產效率並降低營運成本。在物流和供應鏈領域，人工智慧代理正在簡化庫存管理並提高交付準確性。醫療保健行業正在使用自主人工智慧進行診斷、病患監測和個人化治療計劃。零售和電子商務平台正在採用人工智慧代理來改善客戶體驗並實現支援自動化。總而言之，自主技術的跨產業整合將推動需求、創新和市場擴張。

監管和道德問題

政府對人工智慧應用的嚴格監管正在減緩產品發布速度，並增加合規成本。各國政策差異導致市場分化，並為跨國公司帶來營運挑戰。隱私侵犯和決策偏差等道德問題正在降低消費者的信任度和採用率。人工智慧發生錯誤或事故時的責任問題會為開發者和使用者帶來法律風險。總而言之，這些法規和道德障礙阻礙了創新，限制了市場擴張，並增加了業務的複雜性。

與物聯網和機器人技術的整合

連網型設備提供切實可行的洞察，使自主代理能夠更快、更準確地做出決策。機器人技術的整合正透過自動化跨行業重複性和複雜任務來提高業務效率。物聯網與人工智慧結合的系統可以改善預測性維護，減少停機時間和營運成本。這種協同效應正在推動製造業、物流業、醫療保健業和智慧城市等領域的採用。總而言之，創造更智慧、更具適應性的自主解決方案將加速創新、可擴展性和市場成長。

資料隱私和安全問題

GDPR 和 CCPA 等嚴格法規正在增加採用這些技術的公司的合規成本。對資料外洩的擔憂正在降低客戶信任度，並減緩醫療保健和金融等敏感領域的採用速度。人工智慧系統中的網路安全漏洞增加了惡意攻擊和運行故障的風險。由於個人資料處理不當可能承擔法律責任，公司可能會放慢創新速度。總體而言，這些問題增加了成本，限制了採用，並減緩了技術進步，阻礙了市場的成長。

COVID-19的影響

新冠疫情顯著加速了自主人工智慧和自主代理的採用，因為各組織都在努力在限制措施和人員不足的情況下維持業務。醫療保健、物流和遠端營運領域對智慧自動化的需求不斷成長，凸顯了其效率、安全性和成本節約的優勢。供應鏈中斷和業務重點的轉變促使人們投資於能夠在極少人工干預的情況下做出決策的自主系統。然而，技術採用緩慢、預算削減和監管挑戰暫時減緩了市場擴張。整體而言，疫情凸顯了自主人工智慧對於韌性和業務永續營運的戰略重要性。

預計軟體領域將成為預測期內最大的領域

軟體領域預計將在預測期內佔據最大的市場佔有率，這得益於其支援先進演算法和機器學習模型，從而實現自主決策。它提供了一個即時數據處理平台，提高了系統的準確性和效率。軟體解決方案有助於與現有IT和營運基礎設施無縫整合。人工智慧模型的持續更新和改進增強了跨行業的適應性。總而言之，軟體作為支柱，加速了全球自主系統的部署和應用。

預計製造業在預測期內的複合年成長率最高

預計製造業將在預測期內實現最高成長率，這得益於重複性和複雜生產任務的自動化，從而提高了業務效率。自動化還能實現預測性維護，減少停機時間並降低成本。自主代理最佳化了供應鏈管理，確保及時交付和資源配置。人工智慧驅動的品管提高了產品的一致性並減少了錯誤。此外，智慧工廠和工業4.0舉措的日益普及將進一步推動市場成長。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於先進的研究、企業對人工智慧的廣泛採用以及國防、醫療保健和交通運輸等領域對自主系統的需求。美國和加拿大是自動駕駛汽車、人工智慧主導分析和智慧自動化平台的先驅。關鍵技術包括人工智慧編配、強化學習和雲端基礎的自主框架。科技公司和學術機構之間的夥伴關係將推動創新。道德問題、系統複雜性和網路安全風險是採用的障礙，但有利的監管措施支持了市場成長。

複合年成長率最高的地區

在預測期內，由於中國、日本、印度和韓國在製造業、物流和智慧城市計劃中大力應用人工智慧，預計亞太地區將實現最高的複合年成長率。政府不斷推進的工業4.0和自動化舉措，以及對人工智慧新興企業的投資，正在推動需求成長。新興趨勢包括自主機器人、人工智慧供應鏈管理和人工智慧預測性維護。技術提供者與當地企業之間日益增多的合作也推動了市場成長。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 二手研究資料
    • 先決條件

第3章市場走勢分析

  • 介紹
  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 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
  • 競爭對手之間的競爭

5. 全球自主人工智慧和自主代理市場（按類型）

  • 介紹
  • 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場（按組件分類）

  • 介紹
  • 硬體
    • 感測器和致動器
    • 處理器和晶片組
  • 軟體
    • 人工智慧演算法和模型
    • 平台和框架
  • 服務
    • 諮詢
    • 整合與部署
    • 維護和支援

7. 全球自主人工智慧和自主代理市場（按部署）

  • 介紹
  • 雲端基礎
  • 本地

8. 全球自主人工智慧和自主代理市場（按技術）

  • 介紹
  • 機器學習
  • 自然語言處理（NLP）
  • 電腦視覺
  • 強化學習
  • 機器人流程自動化（RPA）
  • 其他

9. 全球自主人工智慧和自主代理市場（按最終用戶分類）

  • 介紹
  • 衛生保健
  • 車
  • 零售
  • 銀行、金融服務和保險
  • 製造業
  • 國防安全
  • 其他

10. 全球自主人工智慧和自主代理市場（按地區）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章：企業概況

  • 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.