查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1636660

2030 年自主企业市场预测：按产品、业务功能、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球自主企业市场预计在 2024 年价值为 522.3 亿美元，到 2030 年将达到 1,528.7 亿美元，预测期内的复合年增长率为 19.6%。

那些利用自动化、机器学习、人工智慧 (AI) 和资料分析等最尖端科技，几乎不需要人工帮助就能运作的组织被称为自主企业。透过实现跨部门流程自动化，从营运和供应链管理到决策和客户服务，自主企业可以提高生产力、速度和扩充性。

根据世界经济论坛 (WEF) 称，人工智慧和自动化技术的应用可能会对企业效率和生产力产生重大影响，到 2030 年将为全球经济贡献高达 15.7 兆美元。

越来越关注数位转型

自动化技术正在成为企业持续数位转型的重要组成部分。企业越来越多地转向数位工具来改善客户体验、简化业务并在技术先进、快节奏的世界中保持竞争力。公司可以使用云端基础的系统来优化工作流程，并将数位计画与自主企业的业务结合。此外，向数位化营运的转变使公司能够快速扩大规模，改善跨职能协作，并更好地回应不断变化的市场和客户需求。

Start-Ups成本高

儘管长期效益明显，但部署自动化和自主系统所需的初始投资可能相当大。中小型企业 (SME) 可能会发现购买和整合自主系统的前期成本过高，因为与软体、硬体、员工培训和系统整合相关的成本会迅速增加。此外，儘管自动化技术可能带来成本节约，但这些财务障碍阻碍了许多组织采用自动化技术。

自动化和人工智慧技术的发展

随着自动化、机器学习和人工智慧 (AI) 技术的进步，企业拥有巨大的机会部署日益复杂和有效的自主系统。这些发展使企业能够自动做出艰难决策、简化流程并从资料中提取更有见地的信息。人工智慧工具和智慧自动化平台的出现为金融、製造、物流和医疗保健等不同领域的任务自动化创造了新的机会。此外，人工智慧演算法的不断进步增加了自主企业提高生产力和减少人为干预的潜力，为企业提供了提高竞争力和灵活性的机会。

缺乏互通性和标准化

由于自动驾驶技术在各行业中迅速普及，因此缺乏标准化框架带来了挑战。当没有明确的指导方针规定自主系统应如何互动、通讯和运作时，就会出现互通性问题。例如，来自不同供应商的感测器、机器人和管理软体可能无法在智慧工厂中协调工作。此外，缺乏标准化可能会使自主系统的部署更加困难，并可能导致错误、效率低下和更高的营运成本。

COVID-19 的影响：

COVID-19 疫情对自动驾驶公司市场产生了重大影响，随着公司寻求最大限度地减少营运中断、减少对人类的依赖并在封锁期间维持运营，自动化和自动驾驶技术的应用加速进行。此外，随着远距工作变得越来越普遍，企业正在转向人工智慧主导的解决方案、机器人和自主系统来提高生产力、优化供应链并减少员工接触病毒的机会。然而，疫情造成的经济不确定性导致一些企业因预算限製而推迟或削减对新技术的投资。

预测期内，流程自动化领域预计将成为最大的市场

自主企业市场预计将由流程自动化领域主导，该领域广泛应用于製造、物流、金融和客户服务等行业，自主系统管理从资料输入和库存管理到复杂决策流程的一切。使用人工智慧（AI）、机器人和机器学习等技术来自动执行重复性任务、简化业务并提高各种业务功能的效率是自主企业概念的核心。此外，工作流程自动化可以帮助企业减少人为错误、降低营运成本并加快决策流程。

预计预测期内医疗保健领域将以最高的复合年增长率成长。

在自主企业市场中，医疗保健领域预计将以最高的复合年增长率成长。随着服务提供者寻求降低成本、提高业务效率和改善患者照护，医疗保健产业对自动化技术的应用正在迅速成长。机器人、流程自动化和人工智慧驱动系统正在应用于患者监测、诊断、管理任务甚至手术等领域。借助自主技术，工作流程得到简化，人为错误减少，医疗保健专业人员可以专注于更具挑战性的任务。此外，COVID-19 疫情以及对远端医疗和远距咨询的持续需求也加剧了对自主医疗保健解决方案的需求。

占比最大的地区：

由于强大的技术基础设施、高度的数位化以及各行业早期采用自动化，北美地区预计将占据自主企业市场的最大份额。领先的人工智慧、机器人和流程自动化公司总部设在美国，使其成为自主系统创新的重要中心。此外，北美的主导地位也受到越来越多的企业优先考虑数位转型、成本效率和营运敏捷性，以及鼓励技术进步的支持性政府政策的影响。

复合年增长率最高的地区：

预计自主企业市场将在亚太地区以最高的复合年增长率成长。这种扩张的推动力是工业化步伐的加快、数位技术的广泛使用以及政府鼓励物流、医疗保健和製造业等关键行业实现自动化的计划。为了提高业务效率、提高生产力并在全球竞争中保持领先地位，中国、印度、日本和韩国等国家正在大力投资人工智慧 (AI)、机器人和流程自动化。此外，由于对智慧工厂、自动驾驶汽车和企业范围的数位转型的需求不断增长，亚太地区将成为自动化企业技术成长最快的市场。

免费客製化服务：

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业进行基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

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

第 4 章 波特五力分析

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

5. 全球自主企业市场（依产品分类）

  • 解决方案
    • 机器人流程自动化
    • 自治网络
    • 帐户自动化
    • 安全自动化
    • 自主代理
    • 其他解决方案
  • 服务
    • 专业服务
    • 託管服务

6. 全球自主企业市场（依业务功能划分）

  • 会计
  • 金融
  • 人力资源
  • 销售与行销
  • 供应链营运

7. 全球自主企业市场（依技术划分）

  • 人工智慧（AI）
  • 机器学习 (ML)
  • 超级自动化

8. 全球自主企业市场（按应用划分）

  • 流程自动化
  • 客户和员工参与
  • 订单管理
  • 信用评估与管理
  • 预测性维护
  • 其他用途

9. 全球自主企业市场（依最终用户划分）

  • BFSI（银行、金融服务、保险）
  • 资讯科技/资讯科技服务
  • 通讯
  • 零售与电子商务
  • 媒体与娱乐
  • 卫生保健
  • 运输和物流
  • 製造业
  • 政府和国防
  • 其他最终用户

第 10 章。

  • 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 公司概况

  • 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.