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1636660

2030 年自主企業市場預測：按產品、業務功能、技術、應用、最終用戶和地區進行的全球分析

Autonomous Enterprise Market Forecasts to 2030 - Global Analysis By Offering, Business Function, Technology, Application, 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，全球自主企業市場預計在 2024 年價值為 522.3 億美元，到 2030 年將達到 1,528.7 億美元，預測期內的複合年成長率為 19.6%。

那些利用自動化、機器學習、人工智慧 (AI) 和資料分析等最尖端科技，幾乎不需要人工幫助就能運作的組織被稱為自主企業。透過實現跨部門流程自動化，從營運和供應鏈管理到決策和客戶服務，自主企業可以提高生產力、速度和擴充性。

根據世界經濟論壇 (WEF) 稱，人工智慧和自動化技術的應用可能會對企業效率和生產力產生重大影響，到 2030 年將為全球經濟貢獻高達 15.7 兆美元。

越來越關注數位轉型

自動化技術正在成為企業持續數位轉型的重要組成部分。企業擴大轉向數位工具來改善客戶體驗、簡化業務並在技術先進、快節奏的世界中保持競爭力。公司可以使用雲端基礎的系統來最佳化工作流程，並將數位計畫與自主企業的業務結合。此外，向數位化營運的轉變使公司能夠快速擴大規模，改善跨職能協作，並更好地回應不斷變化的市場和客戶需求。

Start-Ups成本高

儘管長期效益明顯，但部署自動化和自主系統所需的初始投資可能相當大。中小型企業 (SME) 可能會發現購買和整合自主系統的前期成本過高，因為與軟體、硬體、員工培訓和系統整合相關的成本會迅速增加。此外，儘管自動化技術可能帶來成本節約，但這些財務障礙阻礙了許多組織採用自動化技術。

自動化和人工智慧技術的發展

隨著自動化、機器學習和人工智慧 (AI) 技術的進步，企業擁有巨大的機會部署日益複雜和有效的自主系統。這些發展使企業能夠自動做出艱難決策、簡化流程並從資料中提取更有見地的資訊。人工智慧工具和智慧自動化平台的出現為金融、製造、物流和醫療保健等不同領域的任務自動化創造了新的機會。此外，人工智慧演算法的不斷進步增加了自主企業提高生產力和減少人為干預的潛力，為企業提供了提高競爭力和靈活性的機會。

缺乏互通性和標準化

由於自動駕駛技術在各行業中迅速普及，因此缺乏標準化框架帶來了挑戰。當沒有明確的指導方針規定自主系統應如何互動、通訊和運作時，就會出現互通性問題。例如，來自不同供應商的感測器、機器人和管理軟體可能無法在智慧工廠中協調工作。此外，缺乏標準化可能會使自主系統的部署更加困難，並可能導致錯誤、效率低下和更高的營運成本。

COVID-19 的影響：

COVID-19 疫情對自動駕駛公司市場產生了重大影響，隨著公司尋求最大限度地減少營運中斷、減少對人類的依賴並在封鎖期間維持營運，自動化和自動駕駛技術的應用加速進行。此外，隨著遠距工作變得越來越普遍，企業正在轉向人工智慧主導的解決方案、機器人和自主系統來提高生產力、最佳化供應鏈並減少員工接觸病毒的機會。然而，疫情造成的經濟不確定性導致一些企業因預算限制而推遲或削減對新技術的投資。

預測期內，流程自動化領域預計將成為最大的市場

自主企業市場預計將由流程自動化領域主導，該領域廣泛應用於製造、物流、金融和客戶服務等行業，自主系統管理從資料輸入和庫存管理到複雜決策流程的一切。使用人工智慧（AI）、機器人和機器學習等技術來自動執行重複性任務、簡化業務並提高各種業務功能的效率是自主企業概念的核心。此外，工作流程自動化可以幫助企業減少人為錯誤、降低營運成本並加快決策流程。

預計預測期內醫療保健領域將以最高的複合年成長率成長。

在自主企業市場中，醫療保健領域預計將以最高的複合年成長率成長。隨著服務提供者尋求降低成本、提高業務效率和改善患者照護，醫療保健產業對自動化技術的應用正在迅速成長。機器人、流程自動化和人工智慧驅動系統正在應用於患者監測、診斷、管理任務甚至手術等領域。借助自主技術，工作流程得到簡化，人為錯誤減少，醫療保健專業人員可以專注於更具挑戰性的任務。此外，COVID-19 疫情以及對遠端醫療和遠距諮詢的持續需求也加劇了對自主醫療保健解決方案的需求。

佔比最大的地區：

由於強大的技術基礎設施、高度的數位化以及各行業早期採用自動化，北美地區預計將佔據自主企業市場的最大佔有率。領先的人工智慧、機器人和流程自動化公司總部設在美國，使其成為自主系統創新的重要中心。此外，北美的主導地位也受到越來越多的企業優先考慮數位轉型、成本效率和營運敏捷性，以及鼓勵技術進步的支持性政府政策的影響。

複合年成長率最高的地區：

預計自主企業市場將在亞太地區以最高的複合年成長率成長。這種擴張的推動力是工業化步伐的加快、數位技術的廣泛使用以及政府鼓勵物流、醫療保健和製造業等關鍵行業實現自動化的計劃。為了提高業務效率、提高生產力並在全球競爭中保持領先地位，中國、印度、日本和韓國等國家正在大力投資人工智慧 (AI)、機器人和流程自動化。此外，由於對智慧工廠、自動駕駛汽車和企業範圍的數位轉型的需求不斷成長，亞太地區將成為自動化企業技術成長最快的市場。

免費客製化服務：

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場公司（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業進行基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 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
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球自主企業市場（依產品分類）

  • 解決方案
    • 機器人流程自動化
    • 自治網路
    • 帳戶自動化
    • 安全自動化
    • 自主代理
    • 其他解決方案
  • 服務
    • 專業服務
    • 託管服務

6. 全球自主企業市場（依業務功能分類）

  • 會計
  • 金融
  • 人力資源
  • 銷售與行銷
  • 供應鏈營運

7. 全球自主企業市場（依技術分類）

  • 人工智慧（AI）
  • 機器學習 (ML)
  • 超級自動化

8. 全球自主企業市場（按應用分類）

  • 流程自動化
  • 客戶和員工參與
  • 訂單管理
  • 信用評估與管理
  • 預測性維護
  • 其他用途

9. 全球自主企業市場（依最終用戶分類）

  • BFSI（銀行、金融服務、保險）
  • 資訊科技/資訊科技服務
  • 通訊
  • 零售與電子商務
  • 媒體與娛樂
  • 衛生保健
  • 運輸和物流
  • 製造業
  • 政府和國防
  • 其他最終用戶

第 10 章。

  • 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 公司概況

  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.（Amazon.com, Inc.）
  • Palo Alto Networks
  • Check Point Software Technologies Ltd.
  • Oracle Corporation
  • ATOSS Software SE
  • Cisco Systems, Inc.
  • NICE
  • Fetch.ai
  • SAP SE
  • Blue Prism Inc
  • Hewlett Packard Enterprise Company
  • Mendix Inc
  • Pegasystems Inc.
Product Code: SMRC28301

According to Stratistics MRC, the Global Autonomous Enterprise Market is accounted for $52.23 billion in 2024 and is expected to reach $152.87 billion by 2030 growing at a CAGR of 19.6% during the forecast period. An organization that uses cutting-edge technologies, like automation, machine learning, artificial intelligence (AI), and data analytics, to function with little assistance from humans is known as an autonomous enterprise. An autonomous business can increase productivity, speed, and scalability by automating processes in a variety of departments, from operations and supply chain management to decision-making and customer service.

According to the World Economic Forum (WEF), the adoption of AI and automation technologies could contribute up to USD 15.7 trillion to the global economy by 2030, with significant impacts on enterprise efficiency and productivity.

Market Dynamics:

Driver:

Enhanced attention to digital transformation

Automation technologies are becoming essential to the ongoing digital transformation of businesses. Businesses are using digital tools more and more to improve customer experiences, streamline operations, and stay competitive in a technologically advanced, fast-paced world. Businesses can use cloud-based systems, optimize workflows, and align operations with digital initiatives with autonomous enterprises. Additionally, businesses can scale quickly, enhance cross-functional cooperation, and better meet the constantly shifting needs of the market and customers owing to this move to digital operations.

Restraint:

High start-up cost

The initial investment needed to implement automation and autonomous systems can be significant, even though the long-term benefits are obvious. Small and medium-sized businesses (SMEs) may find the upfront costs of purchasing and integrating autonomous systems prohibitive, as costs associated with software, hardware, employee training, and system integration can quickly mount up. Furthermore, this financial barrier keeps many organizations from implementing autonomous technologies, even though they have the potential to save money in the future.

Opportunity:

Development of automation and AI technologies

Businesses have a great chance to implement increasingly complex and effective autonomous systems as automation, machine learning, and artificial intelligence (AI) technologies advance. These developments give businesses the ability to automate difficult decision-making, streamline processes, and extract more insightful information from data. The emergence of AI-powered tools and intelligent automation platforms creates new opportunities for task automation in a variety of sectors, including finance, manufacturing, logistics, and healthcare. Moreover, the potential for autonomous businesses to increase productivity and decrease human intervention will increase with ongoing advancements in AI algorithms, giving businesses the chance to become more competitive and flexible.

Threat:

Insufficient interoperability and standardization

The absence of standardized frameworks for autonomous technologies poses difficulties as they are quickly embraced by various industries. Interoperability problems may arise in the absence of explicit guidelines for how autonomous systems should interact, communicate, and function, especially in complex settings where several technologies must cooperate. For instance, sensors, robots, and management software from various vendors might not work together harmoniously in a smart factory. Additionally, deploying autonomous systems becomes more difficult due to this lack of standardization, which can also result in errors, inefficiencies, and higher operating expenses.

Covid-19 Impact:

The COVID-19 pandemic had a major effect on the market for autonomous enterprises, hastening the adoption of automation and autonomous technologies as companies looked to minimize operational disruptions, lessen their reliance on humans, and maintain operations during lockdowns. Furthermore, businesses have resorted to AI-driven solutions, robotics, and autonomous systems as remote work has become more common in order to improve productivity, optimize supply chains, and reduce the possibility of employee virus exposure. Economic uncertainty brought on by the pandemic, however, also caused some businesses to postpone or reduce their investments in new technologies because of budgetary limitations.

The Process Automation segment is expected to be the largest during the forecast period

The autonomous enterprise market is expected to be dominated by the process automation segment, which is widely used in industries like manufacturing, logistics, finance, and customer service, where autonomous systems manage everything from data entry and inventory management to complex decision-making processes. Using technologies like artificial intelligence (AI), robotics, and machine learning to automate repetitive tasks, streamline operations, and improve efficiency across various business functions is central to the concept of an autonomous enterprise. Moreover, by automating workflows, companies can reduce human errors, cut operational costs, and accelerate decision-making processes.

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

In the market for autonomous enterprises, the healthcare segment is anticipated to grow at the highest CAGR. Autonomous technology adoption in the healthcare industry is growing quickly as providers look to lower costs, increase operational effectiveness, and improve patient care. Robotics, process automation, and AI-driven systems are being used in fields like patient monitoring, diagnostics, administrative work, and even surgery. Workflows are streamlined, human error is reduced, and healthcare workers can concentrate on more difficult tasks owing to autonomous technologies. Additionally, the need for autonomous healthcare solutions is also fueled by the COVID-19 pandemic and the continued need for telemedicine and remote care.

Region with largest share:

Due to its robust technological infrastructure, sophisticated digitization, and early adoption of automation across a range of industries, the North American region is anticipated to hold the largest share of the autonomous enterprise market. Leading firms in artificial intelligence, robotics, and process automation are headquartered in the United States, making it a significant center for innovation in autonomous systems. Furthermore, North America's dominant position is also influenced by businesses increasing emphasis on digital transformation, cost-effectiveness, and operational agility, as well as supportive government policies that encourage technological advancements.

Region with highest CAGR:

The autonomous enterprise market is anticipated to grow at the highest CAGR in the Asia Pacific region. This expansion is being driven by the quickening pace of industrialization, the growing use of digital technologies, and government programs encouraging automation in important industries like logistics, healthcare, and manufacturing. To increase operational efficiency, boost productivity, and compete globally, nations like China, India, Japan, and South Korea are making significant investments in artificial intelligence (AI), robotics, and process automation. Moreover, APAC is the market with the highest rate of growth for autonomous enterprise technologies due to the region's growing demand for smart factories, autonomous vehicles, and digital transformation across businesses.

Key players in the market

Some of the key players in Autonomous Enterprise market include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Palo Alto Networks, Check Point Software Technologies Ltd., Oracle Corporation, ATOSS Software SE, Cisco Systems, Inc., NICE, Fetch.ai, SAP SE, Blue Prism Inc, Hewlett Packard Enterprise Company, Mendix Inc and Pegasystems Inc.

Key Developments:

In December 2024, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company and TP ICAP Group, announced a major agreement to streamline and scale TP ICAP's technology infrastructure. A key focus of this multifaceted agreement is to accelerate the development of Fusion, TP ICAP's flagship digital platform.

In July 2024, IBM announced that it has secured a five-year contract with $26 million in initial funding from the U.S. Agency for International Development (USAID) to support its Cybersecurity Protection and Response (CPR) program aimed to expand and enhance the agency's cybersecurity response support for host governments in the Europe and Eurasia (E&E) region.

In June 2024, Microsoft Corp. and Hitachi Ltd. announced anticipated multibillion-dollar collaboration over the next three years that will accelerate social innovation with generative AI. Through this strategic alliance, Hitachi will propel growth of the Lumada business, with planned revenue of 2.65 trillion yen, and will promote operational efficiency and productivity improvements for Hitachi Group's 270,000 employees.

Offerings Covered:

  • Solutions
  • Services

Business Functions Covered:

  • Accounting
  • Finance
  • Human Resource
  • Sales and Marketing
  • Supply Chain and Operations

Technologies Covered:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Hyper-automation

Applications Covered:

  • Process Automation
  • Customer and Employee Engagement
  • Order Management
  • Credit Evaluation and Management
  • Predictive Maintenance
  • Other Applications

End Users Covered:

  • BFSI (Banking, Financial Services, and Insurance)
  • IT & ITeS
  • Telecom
  • Retail & Ecommerce
  • Media & Entertainment
  • Healthcare
  • Transportation & Logistics
  • Manufacturing
  • Government & Defence
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Enterprise Market, By Offering

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Robotic Process Automation
    • 5.2.2 Autonomous Networks
    • 5.2.3 Accounts Automation
    • 5.2.4 Security Automation
    • 5.2.5 Autonomous Agents
    • 5.2.6 Other Solutions
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 Global Autonomous Enterprise Market, By Business Function

  • 6.1 Introduction
  • 6.2 Accounting
  • 6.3 Finance
  • 6.4 Human Resource
  • 6.5 Sales and Marketing
  • 6.6 Supply Chain and Operations

7 Global Autonomous Enterprise Market, By Technology

  • 7.1 Introduction
  • 7.2 Artificial Intelligence (AI)
  • 7.3 Machine Learning (ML)
  • 7.4 Hyper-automation

8 Global Autonomous Enterprise Market, By Application

  • 8.1 Introduction
  • 8.2 Process Automation
  • 8.3 Customer and Employee Engagement
  • 8.4 Order Management
  • 8.5 Credit Evaluation and Management
  • 8.6 Predictive Maintenance
  • 8.7 Other Applications

9 Global Autonomous Enterprise Market, By End User

  • 9.1 Introduction
  • 9.2 BFSI (Banking, Financial Services, and Insurance)
  • 9.3 IT & ITeS
  • 9.4 Telecom
  • 9.5 Retail & Ecommerce
  • 9.6 Media & Entertainment
  • 9.7 Healthcare
  • 9.8 Transportation & Logistics
  • 9.9 Manufacturing
  • 9.10 Government & Defence
  • 9.11 Other End Users

10 Global Autonomous Enterprise 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 IBM Corporation
  • 12.2 Microsoft Corporation
  • 12.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 12.4 Palo Alto Networks
  • 12.5 Check Point Software Technologies Ltd.
  • 12.6 Oracle Corporation
  • 12.7 ATOSS Software SE
  • 12.8 Cisco Systems, Inc.
  • 12.9 NICE
  • 12.10 Fetch.ai
  • 12.11 SAP SE
  • 12.12 Blue Prism Inc
  • 12.13 Hewlett Packard Enterprise Company
  • 12.14 Mendix Inc
  • 12.15 Pegasystems Inc.

List of Tables

  • Table 1 Global Autonomous Enterprise Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Autonomous Enterprise Market Outlook, By Offering (2022-2030) ($MN)
  • Table 3 Global Autonomous Enterprise Market Outlook, By Solutions (2022-2030) ($MN)
  • Table 4 Global Autonomous Enterprise Market Outlook, By Robotic Process Automation (2022-2030) ($MN)
  • Table 5 Global Autonomous Enterprise Market Outlook, By Autonomous Networks (2022-2030) ($MN)
  • Table 6 Global Autonomous Enterprise Market Outlook, By Accounts Automation (2022-2030) ($MN)
  • Table 7 Global Autonomous Enterprise Market Outlook, By Security Automation (2022-2030) ($MN)
  • Table 8 Global Autonomous Enterprise Market Outlook, By Autonomous Agents (2022-2030) ($MN)
  • Table 9 Global Autonomous Enterprise Market Outlook, By Other Solutions (2022-2030) ($MN)
  • Table 10 Global Autonomous Enterprise Market Outlook, By Services (2022-2030) ($MN)
  • Table 11 Global Autonomous Enterprise Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 12 Global Autonomous Enterprise Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 13 Global Autonomous Enterprise Market Outlook, By Business Function (2022-2030) ($MN)
  • Table 14 Global Autonomous Enterprise Market Outlook, By Accounting (2022-2030) ($MN)
  • Table 15 Global Autonomous Enterprise Market Outlook, By Finance (2022-2030) ($MN)
  • Table 16 Global Autonomous Enterprise Market Outlook, By Human Resource (2022-2030) ($MN)
  • Table 17 Global Autonomous Enterprise Market Outlook, By Sales and Marketing (2022-2030) ($MN)
  • Table 18 Global Autonomous Enterprise Market Outlook, By Supply Chain and Operations (2022-2030) ($MN)
  • Table 19 Global Autonomous Enterprise Market Outlook, By Technology (2022-2030) ($MN)
  • Table 20 Global Autonomous Enterprise Market Outlook, By Artificial Intelligence (AI) (2022-2030) ($MN)
  • Table 21 Global Autonomous Enterprise Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
  • Table 22 Global Autonomous Enterprise Market Outlook, By Hyper-automation (2022-2030) ($MN)
  • Table 23 Global Autonomous Enterprise Market Outlook, By Application (2022-2030) ($MN)
  • Table 24 Global Autonomous Enterprise Market Outlook, By Process Automation (2022-2030) ($MN)
  • Table 25 Global Autonomous Enterprise Market Outlook, By Customer and Employee Engagement (2022-2030) ($MN)
  • Table 26 Global Autonomous Enterprise Market Outlook, By Order Management (2022-2030) ($MN)
  • Table 27 Global Autonomous Enterprise Market Outlook, By Credit Evaluation and Management (2022-2030) ($MN)
  • Table 28 Global Autonomous Enterprise Market Outlook, By Predictive Maintenance (2022-2030) ($MN)
  • Table 29 Global Autonomous Enterprise Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 30 Global Autonomous Enterprise Market Outlook, By End User (2022-2030) ($MN)
  • Table 31 Global Autonomous Enterprise Market Outlook, By BFSI (Banking, Financial Services, and Insurance) (2022-2030) ($MN)
  • Table 32 Global Autonomous Enterprise Market Outlook, By IT & ITeS (2022-2030) ($MN)
  • Table 33 Global Autonomous Enterprise Market Outlook, By Telecom (2022-2030) ($MN)
  • Table 34 Global Autonomous Enterprise Market Outlook, By Retail & Ecommerce (2022-2030) ($MN)
  • Table 35 Global Autonomous Enterprise Market Outlook, By Media & Entertainment (2022-2030) ($MN)
  • Table 36 Global Autonomous Enterprise Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 37 Global Autonomous Enterprise Market Outlook, By Transportation & Logistics (2022-2030) ($MN)
  • Table 38 Global Autonomous Enterprise Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 39 Global Autonomous Enterprise Market Outlook, By Government & Defence (2022-2030) ($MN)
  • Table 40 Global Autonomous Enterprise Market Outlook, By Other End Users (2022-2030) ($MN)

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