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自動化雲端服務

市場調查報告書

商品編碼

1558324

到 2030 年 AaaS（自動化即服務）市場預測：按自動化類型、產品、部署模式、業務能力、公司規模、最終用戶和地區進行的全球分析

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: 2024年09月06日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球 AaaS（自動化即服務）市場預計到 2024 年將達到 98 億美元，到 2030 年將達到 401 億美元，預測期內複合年成長率為 26.3%。

自動化即服務 (AaaS) 是雲端基礎的交付模型，為企業提供對自動化技術和解決方案的隨選存取。 AaaS 使公司能夠簡化業務、降低成本並提高效率，而無需在基礎設施或專業知識上進行大量前期投資。 AaaS 通常包括機器人流程自動化 (RPA)、人工智慧和機器學習功能。借助 AaaS，公司可以自動化各種業務功能的重複任務、工作流程和流程，並根據需要擴展其自動化工作。該模型提供靈活性、快速部署以及在利用先進自動化技術的同時專注於核心業務活動的能力。

根據 IDC 2023 年 3 月預測，全球人工智慧（AI）支出，包括以 AI 為中心的系統的軟體、硬體和服務，到 2023 年將達到 1540 億美元，到 2022 年將增加。從花費的金額來看。

自動化需求不斷成長

組織越來越認知到自動化在提高效率、降低營運成本和提高生產力方面的好處。 AaaS 提供了靈活且擴充性的解決方案，讓企業可以實施自動化，而無需在基礎設施或專業知識上進行大量前期投資。數位轉型舉措的興起以及競爭環境中簡化流程的需求進一步推動了這項需求。此外，許多行業技術純熟勞工的短缺正在促使企業採用自動化解決方案，這使得 SaaS 成為各種規模的企業快速部署並從自動化技術中受益的有吸引力的選擇。

初始設定成本高

實施自動化解決方案通常需要在整合、客製化和培訓方面進行大量投資。組織可能需要更改現有流程和系統以適應新的自動化工具，這可能既耗時又昂貴。將 AaaS 與舊有系統整合的複雜性以及實施過程中對專業技能的潛在需求可能會進一步增加成本。特別是對於中小型企業來說，這些初始成本是一個巨大的負擔，並且可能會降低採用率。此外，儘管有長期的好處，但在向自動化流程過渡期間擾亂現有業務的風險可能會阻止一些組織進行投資。

整合人工智慧和機器學習

人工智慧和機器學習技術增強了自動化解決方案的功能，並實現了更複雜和智慧的自動化流程。這種整合使自適應、自我改進的系統能夠處理日益複雜的任務，從而擴展了 AaaS 在各行業的潛在用途。人工智慧驅動的自動化提供預測分析、自然語言處理和認知功能，可以在客戶服務、決策和資料分析方面開闢新的使用案例。人工智慧、機器學習和自動化的結合將帶來更先進、更有價值的服務的開拓，吸引更廣泛的客戶，並推動 AaaS 市場的創新。

改變資料隱私法規

自動化流程通常涉及敏感資料，因此遵守 GDPR 和 CCPA 等嚴格的資料保護法非常重要。這些法規的改變可能需要對現有的自動化系統進行重大修改，這可能會擾亂服務並增加提供者和使用者的成本。特別是在全球企業發展時，確保不同司法管轄區合規性的複雜性是一項挑戰。由於擔心資料安全和隱私，一些組織可能對採用雲端基礎的自動化服務猶豫不決。此外，違規可能會導致巨額罰款和聲譽受損，從而造成市場不確定性，降低採用率，並需要 AaaS 提供者持續投資於合規措施。

COVID-19 的影響：

COVID-19 大流行加速了自動化即服務解決方案的採用。隨著公司希望以更少的現場員工來維持營運，AaaS 提供了一種遠端自動化關鍵流程的方法。這場危機凸顯了數位轉型和營運彈性的重要性，並增加了人們對自動化技術的興趣。雖然一些行業最初由於經濟不確定性而推遲了投資，但長期影響提高了人們對 AaaS 作為業務永續營運和效率關鍵工具的認知。

機器人流程自動化（RPA）產業預計將在預測期內成為最大的產業

由於機器人流程自動化 (RPA) 領域在各個行業和業務功能中的廣泛適用性，預計將主導 AaaS（自動化即服務）市場。 RPA 可自動執行重複性、基於規則的任務，並提供顯著的優勢，從而提高效率、準確性並節省成本。它可以與現有系統整合，而無需對基礎設施進行重大更改，這使其成為各種規模企業的有吸引力的選擇。 RPA 即服務的擴充性和靈活性使企業能夠快速部署自動化解決方案並適應不斷變化的需求。此外，RPA 技術的不斷進步，包括人工智慧和機器學習功能的整合，正在擴大其潛在應用，並進一步推動其採用和市場成長。

預計中小企業 (SME) 領域在預測期內複合年成長率最高

預計中小型企業 (SME) 領域將在自動化即服務市場中實現最高的複合年成長率。 AaaS 為中小型企業提供先進的自動化技術，無需在基礎設施或專業知識方面進行大量前期投資。這種自動化的民主化將使小型企業能夠透過提高效率和生產力來與大公司更有效地競爭。 AaaS 解決方案的可擴展性和靈活性對中小型企業特別有吸引力，它們可以從小規模起步，並根據需要擴展自動化功能。此外，中小企業對數位轉型好處的認知不斷增強，以及在競爭激烈的市場中最佳化業務的壓力，正在推動數位轉型的快速採用。

比最大的地區

預計北美地區在預測期內將佔據最大佔有率。該地區科技公司高度集中，自動化解決方案的早期採用正在推動創新和市場成長。強大的數位基礎設施和技術進步文化支持 AaaS 在各行業的快速採用。領先的 AaaS 供應商的存在以及由新興企業和服務合作夥伴組成的強大生態系統有助於保持市場領先地位。此外，醫療保健、金融和製造等行業對提高業務效率和降低人事費用的關注正在推動對自動化解決方案的需求。

複合年成長率最高的地區：

預計亞太地區的 AaaS（自動化即服務）市場複合年成長率最高。這是由於各行業的快速數位化，加上政府推動數位轉型的舉措，推動了自動化解決方案的採用。該地區規模龐大且不斷成長的中小企業正在認知到 AaaS 在提高競爭力和效率方面的優勢。中國、印度和日本等國家正大力投資人工智慧和物聯網等技術，以補充和增強其 AaaS 產品。此外，亞太地區多樣化的經濟格局為各行業提供客製化的AaaS產品提供了機會，促進了亞太市場的高成長率。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

公司簡介
- 其他市場參與者的綜合分析（最多 3 家公司）
- 主要企業SWOT分析（最多3家企業）
區域分割
- 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭標基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

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/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

第12章主要進展

合約、夥伴關係、合作和合資企業
收購和合併
新產品發布
業務拓展
其他關鍵策略

第13章公司概況

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

簡介目錄圖表

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

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

簡介目錄圖表

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)