Automation As A Service Market
Automation as a Service Market Forecasts to 2030 - Global Analysis by Automation Type (Robotic Process Automation (RPA), Artificial Intelligence (AI)-powered Automation, Business Process Automation (BPA), Cognitive Automation and Other Automation Types), Offering (Solution and Services), Deployment Mode, Business Function, Enterprise Size, End User and Geography
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™ 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™, 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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o 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
1 Global Automation as a Service Market Outlook, By Region (2022-2030) ($MN)
2 Global Automation as a Service Market Outlook, By Automation Type (2022-2030) ($MN)
3 Global Automation as a Service Market Outlook, By Robotic Process Automation (RPA) (2022-2030) ($MN)
4 Global Automation as a Service Market Outlook, By Artificial Intelligence (AI)-powered Automation (2022-2030) ($MN)
5 Global Automation as a Service Market Outlook, By Business Process Automation (BPA) (2022-2030) ($MN)
6 Global Automation as a Service Market Outlook, By Cognitive Automation (2022-2030) ($MN)
7 Global Automation as a Service Market Outlook, By Other Automation Types (2022-2030) ($MN)
8 Global Automation as a Service Market Outlook, By Offering (2022-2030) ($MN)
9 Global Automation as a Service Market Outlook, By Solution (2022-2030) ($MN)
10 Global Automation as a Service Market Outlook, By Services (2022-2030) ($MN)
11 Global Automation as a Service Market Outlook, By Managed Services (2022-2030) ($MN)
12 Global Automation as a Service Market Outlook, By Professional Services (2022-2030) ($MN)
13 Global Automation as a Service Market Outlook, By Deployment Mode (2022-2030) ($MN)
14 Global Automation as a Service Market Outlook, By Cloud (2022-2030) ($MN)
15 Global Automation as a Service Market Outlook, By Public Cloud (2022-2030) ($MN)
16 Global Automation as a Service Market Outlook, By Private Cloud (2022-2030) ($MN)
17 Global Automation as a Service Market Outlook, By Hybrid Cloud (2022-2030) ($MN)
18 Global Automation as a Service Market Outlook, By On-Premises (2022-2030) ($MN)
19 Global Automation as a Service Market Outlook, By Business Function (2022-2030) ($MN)
20 Global Automation as a Service Market Outlook, By Information Technology (IT) (2022-2030) ($MN)
21 Global Automation as a Service Market Outlook, By Finance (2022-2030) ($MN)
22 Global Automation as a Service Market Outlook, By Sales & Marketing (2022-2030) ($MN)
23 Global Automation as a Service Market Outlook, By Human Resources (HR) (2022-2030) ($MN)
24 Global Automation as a Service Market Outlook, By Operations and Supply Chain Management (2022-2030) ($MN)
25 Global Automation as a Service Market Outlook, By Other Business Functions (2022-2030) ($MN)
26 Global Automation as a Service Market Outlook, By Enterprise Size (2022-2030) ($MN)
27 Global Automation as a Service Market Outlook, By Small and Medium Enterprises (SMEs) (2022-2030) ($MN)
28 Global Automation as a Service Market Outlook, By Large Enterprises (2022-2030) ($MN)
29 Global Automation as a Service Market Outlook, By End User (2022-2030) ($MN)
30 Global Automation as a Service Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2022-2030) ($MN)
31 Global Automation as a Service Market Outlook, By Healthcare and Life Sciences (2022-2030) ($MN)
32 Global Automation as a Service Market Outlook, By Retail and Consumer Goods (2022-2030) ($MN)
33 Global Automation as a Service Market Outlook, By Telecom and IT (2022-2030) ($MN)
34 Global Automation as a Service Market Outlook, By Manufacturing (2022-2030) ($MN)
35 Global Automation as a Service Market Outlook, By Government and Defense (2022-2030) ($MN)
36 Global Automation as a Service Market Outlook, By Energy and Utilities (2022-2030) ($MN)
37 Global Automation as a Service Market Outlook, By Media and Entertainment (2022-2030) ($MN)
38 Global Automation as a Service Market Outlook, By Transportation and Logistics (2022-2030) ($MN)
39 Global Automation as a Service Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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