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市场调查报告书
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1558324

到 2030 年 AaaS（自动化即服务）市场预测：按自动化类型、产品、部署模式、业务能力、公司规模、最终用户和地区进行的全球分析

Automation as a Service Market Forecasts to 2030 - Global Analysis by Automation Type, Offering, Deployment Mode, Business Function, Enterprise Size, End User and 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 AaaS（自动化即服务）市场预计到 2024 年将达到 98 亿美元，到 2030 年将达到 401 亿美元，预测期内复合年增长率为 26.3%。

自动化即服务 (AaaS) 是云端基础的交付模型，为企业提供对自动化技术和解决方案的随选存取。 AaaS 使公司能够简化业务、降低成本并提高效率，而无需在基础设施或专业知识上进行大量前期投资。 AaaS 通常包括机器人流程自动化 (RPA)、人工智慧和机器学习功能。借助 AaaS，公司可以自动化各种业务功能的重复任务、工作流程和流程，并根据需要扩展其自动化工作。该模型提供灵活性、快速部署以及在利用先进自动化技术的同时专注于核心业务活动的能力。

根据 IDC 2023 年 3 月预测，全球人工智慧（AI）支出，包括以 AI 为中心的系统的软体、硬体和服务，到 2023 年将达到 1540 亿美元，到 2022 年将增加。从花费的金额来看。

自动化需求不断成长

组织越来越认识到自动化在提高效率、降低营运成本和提高生产力方面的好处。 AaaS 提供了灵活且扩充性的解决方案，让企业可以实施自动化，而无需在基础设施或专业知识上进行大量前期投资。数位转型倡议的兴起以及竞争环境中简化流程的需求进一步推动了这项需求。此外，许多行业技术纯熟劳工的短缺正在促使企业采用自动化解决方案，这使得 SaaS 成为各种规模的企业快速部署并从自动化技术中受益的有吸引力的选择。

初始设定成本高

实施自动化解决方案通常需要在整合、客製化和培训方面进行大量投资。组织可能需要更改现有流程和系统以适应新的自动化工具，这可能既耗时又昂贵。将 AaaS 与旧有系统整合的复杂性以及实施过程中对专业技能的潜在需求可能会进一步增加成本。特别是对于中小型企业来说，这些初始成本是一个巨大的负担，并且可能会降低采用率。此外，儘管有长期的好处，但在向自动化流程过渡期间扰乱现有业务的风险可能会阻止一些组织进行投资。

整合人工智慧和机器学习

人工智慧和机器学习技术增强了自动化解决方案的功能，并实现了更复杂和智慧的自动化流程。这种整合使自适应、自我改进的系统能够处理日益复杂的任务，从而扩展了 AaaS 在各行业的潜在用途。人工智慧驱动的自动化提供预测分析、自然语言处理和认知功能，可以在客户服务、决策和资料分析方面开闢新的使用案例。人工智慧、机器学习和自动化的结合将带来更先进、更有价值的服务的开拓，吸引更广泛的客户，并推动 AaaS 市场的创新。

改变资料隐私法规

自动化流程通常涉及敏感资料，因此遵守 GDPR 和 CCPA 等严格的资料保护法非常重要。这些法规的改变可能需要对现有的自动化系统进行重大修改，这可能会扰乱服务并增加提供者和使用者的成本。特别是在全球企业发展时，确保不同司法管辖区合规性的复杂性是一项挑战。由于担心资料安全和隐私，一些组织可能对采用云端基础的自动化服务犹豫不决。此外，违规可能会导致巨额罚款和声誉受损，从而造成市场不确定性，降低采用率，并需要 AaaS 提供者持续投资于合规措施。

COVID-19 的影响：

COVID-19 大流行加速了自动化即服务解决方案的采用。随着公司希望以更少的现场员工来维持运营，AaaS 提供了一种远端自动化关键流程的方法。这场危机凸显了数位转型和营运弹性的重要性，并增加了人们对自动化技术的兴趣。虽然一些行业最初由于经济不确定性而推迟了投资，但长期影响提高了人们对 AaaS 作为业务永续营运和效率关键工具的认识。

机器人流程自动化（RPA）产业预计将在预测期内成为最大的产业

由于机器人流程自动化 (RPA) 领域在各个行业和业务功能中的广泛适用性，预计将主导 AaaS（自动化即服务）市场。 RPA 可自动执行重复性、基于规则的任务，并提供显着的优势，从而提高效率、准确性并节省成本。它可以与现有系统集成，而无需对基础设施进行重大更改，这使其成为各种规模企业的有吸引力的选择。 RPA 即服务的扩充性和灵活性使企业能够快速部署自动化解决方案并适应不断变化的需求。此外，RPA 技术的不断进步，包括人工智慧和机器学习功能的集成，正在扩大其潜在应用，并进一步推动其采用和市场成长。

预计中小企业 (SME) 领域在预测期内复合年增长率最高

预计中小型企业 (SME) 领域将在自动化即服务市场中实现最高的复合年增长率。 AaaS 为中小型企业提供先进的自动化技术，无需在基础设施或专业知识方面进行大量前期投资。这种自动化的民主化将使小型企业能够透过提高效率和生产力来与大公司更有效地竞争。 AaaS 解决方案的可扩展性和灵活性对中小型企业特别有吸引力，它们可以从小规模起步，并根据需要扩展自动化功能。此外，中小企业对数位转型好处的认识不断增强，以及在竞争激烈的市场中优化业务的压力，正在推动数位转型的快速采用。

比最大的地区

预计北美地区在预测期内将占据最大份额。该地区科技公司高度集中，自动化解决方案的早期采用正在推动创新和市场成长。强大的数位基础设施和技术进步文化支持 AaaS 在各行业的快速采用。领先的 AaaS 供应商的存在以及由新兴企业和服务合作伙伴组成的强大生态系统有助于保持市场领先地位。此外，医疗保健、金融和製造等行业对提高业务效率和降低人事费用的关注正在推动对自动化解决方案的需求。

复合年增长率最高的地区：

预计亚太地区的 AaaS（自动化即服务）市场复合年增长率最高。这是由于各行业的快速数位化，加上政府推动数位转型的倡议，推动了自动化解决方案的采用。该地区规模庞大且不断增长的中小企业正在认识到 AaaS 在提高竞争力和效率方面的优势。中国、印度和日本等国家正大力投资人工智慧和物联网等技术，以补充和增强其 AaaS 产品。此外，亚太地区多样化的经济格局为各行业提供客製化的AaaS产品提供了机会，促进了亚太市场的高成长率。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

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
    • 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
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 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
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球 AaaS（自动化即服务）市场：依自动化类型

  • 机器人流程自动化 (RPA)
  • 使用人工智慧 (AI) 实现自动化
  • 业务流程自动化 (BPA)
  • 认知自动化
  • 其他自动化类型

第六章 全球 AaaS（自动化即服务）市场：透过提供

  • 解决方案
  • 服务
    • 託管服务
    • 专业服务
      • 部署与集成
      • 支持和培训
      • 咨询

第7章全球AaaS（自动化即服务）市场：依部署模式

  • 云
    • 公共云端
    • 私有云端
    • 混合云端
  • 本地

第八章全球 AaaS（自动化即服务）市场：依业务功能划分

  • 资讯科技（IT）
  • 金融
  • 销售与行销
  • 人力资源（HR）
  • 营运和供应链管理
  • 其他业务功能

第九章全球 AaaS（自动化即服务）市场：依公司规模

  • 小型企业
  • 大公司

第 10 章 全球 AaaS（自动化即服务）市场：依最终使用者划分

  • 银行、金融服务和保险 (BFSI)
  • 医疗保健和生命科学
  • 零售/消费品
  • 通讯/IT
  • 製造业
  • 政府和国防
  • 能源和公共
  • 媒体和娱乐
  • 运输/物流
  • 其他最终用户

第十一章全球 AaaS（自动化即服务）市场：按地区

  • 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/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

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • UiPath
  • IBM Corporation
  • Microsoft Corporation
  • Automation Anywhere, Inc.
  • Blue Prism Group plc
  • HCL Technologies Limited
  • Hewlett Packard Enterprise（HPE）
  • Pegasystems Inc.
  • Accenture plc
  • Honeywell International Inc.
  • Siemens AG
  • ABB Ltd.
  • Emerson Electric Co.
  • Rockwell Automation, Inc.
  • Yokogawa Electric Corporation
  • Mitsubishi Electric Corporation
Product Code: SMRC27195

According to Stratistics MRC, the Global Automation as a Service Market is accounted for $9.8 billion in 2024 and is expected to reach $40.1 billion by 2030, growing at a CAGR of 26.3% during the forecast period. Automation as a Service (AaaS) is a cloud-based delivery model that provides businesses with on-demand access to automation technologies and solutions. It enables organizations to streamline operations, reduce costs, and improve efficiency without the need for significant upfront investments in infrastructure or expertise. AaaS typically includes robotic process automation (RPA), artificial intelligence, and machine learning capabilities. It allows companies to automate repetitive tasks, workflows, and processes across various business functions, scaling their automation efforts as needed. This model offers flexibility, rapid deployment, and the ability to focus on core business activities while leveraging advanced automation technologies.

According to IDC's forecast from March 2023, global spending on artificial intelligence (AI), including software, hardware, and services for AI-centric systems, is expected to reach $154 billion in 2023, an increase of 26.9% over the amount spent in 2022.

Market Dynamics:

Driver:

Increased demand for automation

Organizations are increasingly recognizing the benefits of automation in improving efficiency, reducing operational costs, and enhancing productivity. AaaS offers a flexible and scalable solution that allows businesses to implement automation without significant upfront investments in infrastructure and expertise. The rise of digital transformation initiatives and the need for streamlined processes in a competitive business environment further fuel this demand. Additionally, the shortage of skilled labor in many sectors is pushing companies to adopt automation solutions, making AaaS an attractive option for businesses of all sizes to quickly implement and benefit from automation technologies.

Restraint:

High initial setup costs

Implementing automation solutions often requires significant investment in integration, customization, and training. Organizations may need to modify existing processes and systems to accommodate new automation tools, which can be time-consuming and expensive. The complexity of integrating AaaS with legacy systems and the potential need for specialized skills during implementation can further increase costs. Small and medium-sized enterprises, in particular, may find these initial expenses challenging, potentially slowing adoption rates. Additionally, the perceived risk of disruption to existing operations during the transition to automated processes can make some organizations hesitant to invest, despite the long-term benefits.

Opportunity:

Integration of AI and machine learning

AI and ML technologies can enhance the capabilities of automation solutions, enabling more complex and intelligent automated processes. This integration allows for adaptive and self-improving systems that can handle increasingly sophisticated tasks, expanding the potential applications of AaaS across various industries. AI-powered automation can offer predictive analytics, natural language processing, and cognitive capabilities, opening up new use cases in customer service, decision-making, and data analysis. The combination of AI, ML, and automation can lead to the development of more advanced and valuable service offerings, attracting a broader range of customers and driving innovation in the AaaS market.

Threat:

Changes in data privacy regulations

As automated processes often handle sensitive data, compliance with stringent data protection laws like GDPR, CCPA, and others becomes crucial. Changes in these regulations can necessitate substantial modifications to existing automation systems, potentially disrupting services and increasing costs for both providers and users. The complexity of ensuring compliance across different jurisdictions can be challenging, especially for global operations. Concerns about data security and privacy may make some organizations hesitant to adopt cloud-based automation services. Additionally, the potential for hefty fines and reputational damage due to non-compliance can create uncertainty in the market, potentially slowing adoption rates and requiring continuous investment in compliance measures by AaaS providers.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of automation as a service solutions. As businesses sought to maintain operations with reduced on-site staff, AaaS provided a means to automate critical processes remotely. The crisis highlighted the importance of digital transformation and operational resilience, driving increased interest in automation technologies. While some sectors initially delayed investments due to economic uncertainty, the long-term impact has been a growing recognition of AaaS as a key tool for business continuity and efficiency.

The robotic process automation (RPA) segment is expected to be the largest during the forecast period

The robotic process automation (RPA) segment is anticipated to dominate the automation as a service market due to its wide applicability across various industries and business functions. RPA offers significant benefits in automating repetitive, rule-based tasks, leading to improved efficiency, accuracy, and cost savings. Its ability to integrate with existing systems without major infrastructure changes makes it an attractive option for businesses of all sizes. The scalability and flexibility of RPA as a service allow organizations to quickly deploy and adapt automation solutions to their changing needs. Additionally, the continuous advancements in RPA technology, including the integration of AI and machine learning capabilities, are expanding its potential applications, further driving its adoption and market growth.

The small and medium enterprises (SMEs) segment is expected to have the highest CAGR during the forecast period

The small and medium enterprises (SMEs) segment is projected to experience the highest CAGR in the automation as a service market. AaaS offers SMEs access to advanced automation technologies without the need for significant upfront investments in infrastructure and expertise. This democratization of automation enables smaller businesses to compete more effectively with larger enterprises by improving efficiency and productivity. The scalability and flexibility of AaaS solutions are particularly attractive to SMEs, allowing them to start small and expand their automation capabilities as needed. Additionally, the growing awareness among SMEs about the benefits of digital transformation and the pressure to optimize operations in a competitive market are driving rapid adoption.

Region with largest share:

The North American region is anticipated to be the largest during the forecast period. The region has a high concentration of technology companies and early adopters of automation solutions, driving innovation and market growth. Strong digital infrastructure and a culture of technological advancement support the rapid implementation of AaaS across various industries. The presence of major AaaS providers and a robust ecosystem of startups and service partners contribute to market leadership. Additionally, the region's focus on improving operational efficiency and reducing labor costs in sectors like healthcare, finance, and manufacturing fuels the demand for automation solutions.

Region with highest CAGR:

The Asia Pacific region is expected to witness the highest CAGR in the automation as a service market due to rapid digitalization across industries, coupled with government initiatives promoting digital transformation, which is driving the adoption of automation solutions. The region's large and growing SME sector is increasingly recognizing the benefits of AaaS in improving competitiveness and efficiency. Countries like China, India, and Japan are investing heavily in technologies such as AI and IoT, which complement and enhance AaaS offerings. Additionally, the region's diverse economic landscape presents opportunities for tailored AaaS offerings across various sectors, contributing to the high growth rate in the Asia Pacific market.

Key players in the market

Some of the key players in Automation as a Service Market include UiPath, IBM Corporation, Microsoft Corporation, Automation Anywhere, Inc., Blue Prism Group plc, HCL Technologies Limited, Hewlett Packard Enterprise (HPE), Pegasystems Inc., Accenture plc, Honeywell International Inc., Siemens AG, ABB Ltd., Emerson Electric Co., Rockwell Automation, Inc., Yokogawa Electric Corporation, and Mitsubishi Electric Corporation.

Key Developments:

In July 2024, UiPath, a leading enterprise automation and AI software company, announced several new features in its platform which infuse GenAI deeply into the UiPath Business Automation Platform(TM) to help businesses achieve greater outcomes with AI and automation. UiPath will showcase its latest capabilities at UiPath on Tour London: AI at Work summit on July 2 at the InterContinental London.

In June 2022, Siemens, a leader in industrial automation and software, infrastructure, building technology and transportation, and NVIDIA, a pioneer in accelerated graphics and artificial intelligence (AI), announced an expansion of their partnership to enable the industrial metaverse and increase use of AI-driven digital twin technology that will help bring industrial automation to a new level. As a first step in this collaboration, the companies plan to connect Siemens Xcelerator, the open digital business platform, and NVIDIA Omniverse(TM), a platform for 3D design and collaboration.

In July 2020, IBM acquired WDG Automation, a Brazilian company specializing in robotic process automation (RPA) software, to enhance its capabilities in AI-driven automation for businesses, allowing them to integrate intelligent automation through software robots across their operations.

Automation Types Covered:

  • Robotic Process Automation (RPA)
  • Artificial Intelligence (AI)-powered Automation
  • Business Process Automation (BPA)
  • Cognitive Automation
  • Other Automation Types

Offerings Covered:

  • Solution
  • Services

Deployment Modes Covered:

  • Cloud
  • On-Premises

Business Functions Covered:

  • Information Technology (IT)
  • Finance
  • Sales & Marketing
  • Human Resources (HR)
  • Operations and Supply Chain Management
  • Other Business Functions

Enterprise Sizes Covered:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

End Users Covered:

  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare and Life Sciences
  • Retail and Consumer Goods
  • Telecom and IT
  • Manufacturing
  • Government and Defense
  • Energy and Utilities
  • Media and Entertainment
  • Transportation and Logistics
  • 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 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Automation as a Service Market, By Automation Type

  • 5.1 Introduction
  • 5.2 Robotic Process Automation (RPA)
  • 5.3 Artificial Intelligence (AI)-powered Automation
  • 5.4 Business Process Automation (BPA)
  • 5.5 Cognitive Automation
  • 5.6 Other Automation Types

6 Global Automation as a Service Market, By Offering

  • 6.1 Introduction
  • 6.2 Solution
  • 6.3 Services
    • 6.3.1 Managed Services
    • 6.3.2 Professional Services
      • 6.3.2.1 Deployment and Integration
      • 6.3.2.2 Support and Training
      • 6.3.2.3 Consulting

7 Global Automation as a Service Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud
    • 7.2.1 Public Cloud
    • 7.2.2 Private Cloud
    • 7.2.3 Hybrid Cloud
  • 7.3 On-Premises

8 Global Automation as a Service Market, By Business Function

  • 8.1 Introduction
  • 8.2 Information Technology (IT)
  • 8.3 Finance
  • 8.4 Sales & Marketing
  • 8.5 Human Resources (HR)
  • 8.6 Operations and Supply Chain Management
  • 8.7 Other Business Functions

9 Global Automation as a Service Market, By Enterprise Size

  • 9.1 Introduction
  • 9.2 Small and Medium Enterprises (SMEs)
  • 9.3 Large Enterprises

10 Global Automation as a Service Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services, and Insurance (BFSI)
  • 10.3 Healthcare and Life Sciences
  • 10.4 Retail and Consumer Goods
  • 10.5 Telecom and IT
  • 10.6 Manufacturing
  • 10.7 Government and Defense
  • 10.8 Energy and Utilities
  • 10.9 Media and Entertainment
  • 10.10 Transportation and Logistics
  • 10.11 Other End Users

11 Global Automation as a Service Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 UiPath
  • 13.2 IBM Corporation
  • 13.3 Microsoft Corporation
  • 13.4 Automation Anywhere, Inc.
  • 13.5 Blue Prism Group plc
  • 13.6 HCL Technologies Limited
  • 13.7 Hewlett Packard Enterprise (HPE)
  • 13.8 Pegasystems Inc.
  • 13.9 Accenture plc
  • 13.10 Honeywell International Inc.
  • 13.11 Siemens AG
  • 13.12 ABB Ltd.
  • 13.13 Emerson Electric Co.
  • 13.14 Rockwell Automation, Inc.
  • 13.15 Yokogawa Electric Corporation
  • 13.16 Mitsubishi Electric Corporation

List of Tables

  • Table 1 Global Automation as a Service Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Automation as a Service Market Outlook, By Automation Type (2022-2030) ($MN)
  • Table 3 Global Automation as a Service Market Outlook, By Robotic Process Automation (RPA) (2022-2030) ($MN)
  • Table 4 Global Automation as a Service Market Outlook, By Artificial Intelligence (AI)-powered Automation (2022-2030) ($MN)
  • Table 5 Global Automation as a Service Market Outlook, By Business Process Automation (BPA) (2022-2030) ($MN)
  • Table 6 Global Automation as a Service Market Outlook, By Cognitive Automation (2022-2030) ($MN)
  • Table 7 Global Automation as a Service Market Outlook, By Other Automation Types (2022-2030) ($MN)
  • Table 8 Global Automation as a Service Market Outlook, By Offering (2022-2030) ($MN)
  • Table 9 Global Automation as a Service Market Outlook, By Solution (2022-2030) ($MN)
  • Table 10 Global Automation as a Service Market Outlook, By Services (2022-2030) ($MN)
  • Table 11 Global Automation as a Service Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 12 Global Automation as a Service Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 13 Global Automation as a Service Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 14 Global Automation as a Service Market Outlook, By Cloud (2022-2030) ($MN)
  • Table 15 Global Automation as a Service Market Outlook, By Public Cloud (2022-2030) ($MN)
  • Table 16 Global Automation as a Service Market Outlook, By Private Cloud (2022-2030) ($MN)
  • Table 17 Global Automation as a Service Market Outlook, By Hybrid Cloud (2022-2030) ($MN)
  • Table 18 Global Automation as a Service Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 19 Global Automation as a Service Market Outlook, By Business Function (2022-2030) ($MN)
  • Table 20 Global Automation as a Service Market Outlook, By Information Technology (IT) (2022-2030) ($MN)
  • Table 21 Global Automation as a Service Market Outlook, By Finance (2022-2030) ($MN)
  • Table 22 Global Automation as a Service Market Outlook, By Sales & Marketing (2022-2030) ($MN)
  • Table 23 Global Automation as a Service Market Outlook, By Human Resources (HR) (2022-2030) ($MN)
  • Table 24 Global Automation as a Service Market Outlook, By Operations and Supply Chain Management (2022-2030) ($MN)
  • Table 25 Global Automation as a Service Market Outlook, By Other Business Functions (2022-2030) ($MN)
  • Table 26 Global Automation as a Service Market Outlook, By Enterprise Size (2022-2030) ($MN)
  • Table 27 Global Automation as a Service Market Outlook, By Small and Medium Enterprises (SMEs) (2022-2030) ($MN)
  • Table 28 Global Automation as a Service Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 29 Global Automation as a Service Market Outlook, By End User (2022-2030) ($MN)
  • Table 30 Global Automation as a Service Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2022-2030) ($MN)
  • Table 31 Global Automation as a Service Market Outlook, By Healthcare and Life Sciences (2022-2030) ($MN)
  • Table 32 Global Automation as a Service Market Outlook, By Retail and Consumer Goods (2022-2030) ($MN)
  • Table 33 Global Automation as a Service Market Outlook, By Telecom and IT (2022-2030) ($MN)
  • Table 34 Global Automation as a Service Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 35 Global Automation as a Service Market Outlook, By Government and Defense (2022-2030) ($MN)
  • Table 36 Global Automation as a Service Market Outlook, By Energy and Utilities (2022-2030) ($MN)
  • Table 37 Global Automation as a Service Market Outlook, By Media and Entertainment (2022-2030) ($MN)
  • Table 38 Global Automation as a Service Market Outlook, By Transportation and Logistics (2022-2030) ($MN)
  • Table 39 Global Automation as a Service 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.