Automation COE Market
Report ID: SQMIG45A2717
Report ID: SQMIG45A2717
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Report ID:
SQMIG45A2717 |
Region:
Global |
Published Date: February, 2026
Pages:
188
|Tables:
127
|Figures:
69
Global Automation COE Market size was valued at USD 1.8 Billion in 2024 and is poised to grow from USD 2.08 Billion in 2025 to USD 6.64 Billion by 2033, growing at a CAGR of 15.6% during the forecast period (2026-2033).
The automation COE market is flourishing as organizations are transitioning from autonomous, smaller-scale automated projects to systematic, enterprise-wide automation programmes.
An automation COE supports a strong governance and execution framework in relation to an organization's automated projects by establishing the required standards, best practices, operating models, and performance metrics for all the automation projects within an organization. It is becoming increasingly important for organizations to find a way to develop their automation strategies that meet the needs of their business objectives (e.g., effectiveness and efficiency) while at the same time ensuring that they have the ability to maintain and expand their automated systems over an extended period of time.
In addition to providing a means for an organization to manage the growth of its automation capabilities over time, COEs are being utilized by organizations to consolidate their automation investments with the goal of reducing redundancy, accelerating time to value, and ensuring compliance with regulatory obligations. The rising demand for automation resulting from the digital transformation of businesses, coupled with the requirement for process efficiency and to manage a diverse and complex automation ecosystem across multiple business lines and locations is also creating a great deal of opportunity for automation COE providers.
As organizations continue to drive forward their automation strategies, the automation CoEs are expanding from today’s technology-focused centres into more strategic enabling centres that focus on change management, workforce reskilling, continuous improvement, and innovation, all which position Automation COEs as important components of long-term enterprise transformation strategies.
How Is AI Transforming the Automation COE Market?
The integration of AI into the automation center of excellence (COE) is changing the landscape of how organizations are leveraging automation to streamline their processes and make better decisions. Automation COEs in 2024 were reported by top automation providers like UiPath to be using AI throughout their entire platforms. By utilizing this technology, COEs were able to use AI for such functions as process mining, communications mining, and intelligent automations. As a result, robots will be able to read complex documents quicker, automate complex processes, and allow for the adoption of automation by other departments.
The shift has taken COE's focus away from simply automating tasks and created AI-driven COE's that create opportunities for faster business outcomes through innovation and AI-based generative assistants for automation builders.
Market snapshot - 2026-2033
Global Market Size
USD 251.8 Billion
Largest Segment
Financial Services
Fastest Growth
Manufacturing
Growth Rate
6.72% CAGR
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Global Automation COE Market is segmented by Deployment Model, Industry Vertical, Technology Type, End-User Type and region. Based on Deployment Model, the market is segmented into On-Premise and Cloud-Based. Based on Industry Vertical, the market is segmented into Healthcare, Finance and Manufacturing. Based on Technology Type, the market is segmented into Robotic Process Automation, Artificial Intelligence and Machine Learning. Based on End-User Type, the market is segmented into SMEs and Large Enterprises. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
As per the global automation COE market outlook, process automation is the largest segment based on application, since organizations primarily create automation centers of excellence (COEs) to manage and implement enterprise-wide process automation initiatives. Through Automation COEs, organizations look to automate repetitive and manual processes, creating standardized automated workflows (process automation). This segment of automation drives business efficiencies and cost reduction directly through improving outcome delivery in the operational processes of multiple functions after automating manual input requirements.
As per the global automation COE market forecast, data analytics is the fastest growing segment. Organizations are increasingly integrating artificial intelligence (AI) and analytics into process automation solutions to enable real-time visualization of their operations, enhance their decision-making process and support predictive modelling through data analysis and opportunities derived from predictive modelling. As organizations to continue to develop their data-driven automation initiatives, automation COEs are also evolving to govern and oversee various automation use cases that leverage data, including smart reporting, anomaly detection and performance optimization.
With their use of standardized processes and complex operations at high volumes, the manufacturing segment dominates the automation COE market, thus driving the most growth in COE environments today. COEs associated with manufacturing have been used to provide consolidated solutions that combine robotic process automation (RPA), predictive maintenance, quality assurance, and supply chain management to improve operational efficiencies and standardization throughout facilities and regions.
As per the global automation COE market analysis, the financial services segment is rapidly expanding due to the increased demand for fully automated, data-driven processes, including compliance. Additionally, COE growth in financial institutions is resulting from increased regulatory scrutiny, increased consumer demand for rapid service, and increased acceptance of artificial intelligence (AI) within COEs.
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As per automation COE market regional forecast, the market is mature and growing quickly in North America. Early implementation of digital transformation along with emphasis on improving efficiency in operations has allowed for the broad use of smart automation in North America. All types of businesses are now using automation COEs to create standard processes using robotic process automation (RPA), AI based workflows and analytics to make data-driven decisions across all business functions.
The USA is the home of the North American automation COE market. Many different sectors in the USA (BFSI, Healthcare, Manufacturing, Retail and IT services) are currently using Automation. Many enterprises are investing in developing automation COEs that enable reliable deployment and support of automated solutions (RPA, AI, and Process Intelligence) and at the same time provide a framework that allows for effective governance, compliance, and optimization of return on investment across all business functions. Automation software vendors and consulting companies have developed a strong ecosystem in the USA to help Businesses increase their COE maturity levels.
Canada has been experiencing steady automation COE market growth due to an increase in digital transformation initiatives taking place within both the enterprise sector and public sector organizations in Canada. The increasing success in establishing automation COEs is primarily due to improved productivity, decreased costs, and addressing current and future workforce shortages in the industries of finance, telecommunications, and government services throughout Canada. Increased cloud adoption and emphasis on allowing for innovative solutions in both private companies and government agencies provide a favorable environment for the growth of this market.
Asia-Pacific is one of the fastest-growing regions for the automation COE market, due to the rapid pace of digitalization taking place in the region, as well as also the increasing number of businesses looking to incorporate enterprise automation initiatives into their operations and an increased emphasis placed upon creating operational scalability for their businesses. Businesses are using automation COEs throughout the region to manage large volumes of repetitive processes, such as improving service delivery, as well as supporting their AI-led transformation strategies. The presence of a strong IT services ecosystem coupled with a focus on cost optimization makes Automation COEs a key strategic priority for businesses in this area.
In Japan, the automated COE market is growing rapidly based on the need for businesses to resolve workforce shortages, challenges associated with an ageing workforce and increased demand for improved operational efficiency. As a result, many Japanese companies are using automated COEs to roll out their use of RPA and AI technology within manufacturing, finance and shared services companies. Additionally, Japanese companies' strong commitment to quality, standardization of processes and precision automated solutions to support the sustainability of their business operation continues to spur sustained adoption of automation COEs in Japan.
In South Korea, the automated COE market is also experiencing rapid growth because of a country's high level of digitalization and departmental assistance from government. Major enterprises are setting up automation COEs for the purposes of expanding their use of automation technologies into their operations. Meanwhile, many start-up and small to medium-sized enterprises (SMEs) are using a managed COE model to leverage the use of COEs.
The European automation COE landscape is characterized by a large percentage of the region's total automation COE market because of solid regulatory structures, a growing interest in process improvement and efficiencies, and increasing adoption of automation across all industries. Many European companies have expressed interest in using automation COE's to ensure proper governance, compliance & standardized deployment of RPA and AI technology across the organization, while aligning their automation strategy with regulatory requirements for data privacy and labor laws.
Germany's automation COE market has been driven by a manufacturing-oriented economy that has been at the forefront of the implementation of Industry 4.0 initiatives. Companies are utilizing Automation COE to automate many different types of operations, including manufacturing, supply chain, and IT functions. The continued integration of automation with advanced analytics and industrial ai will continue to drive strong growth in the automation COE market.
The United Kingdom's strong adoption of the automation COE market has been especially designed for three key sectors: BFSI, Retail & Professional Services. Companies are leveraging automation COE for scaling intelligent automation and improving customer experience, as well as enhancing compliance in heavily regulated environments. Cloud-based automation and process mining have become a key area of focus.
Italy is acquiring an increasing focus on digitization of legacy systems and design improvements to encourage operational efficiency. Most early adopters of automation COE have been in the manufacturing, utilities and financial services industries, where automation COE is being utilized to establish standardization of automation initiatives and accelerate digital transformations.
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Increased Demand for Operational Effectiveness and Cost Savings
Enterprise-Wide Digital Transformation Initiatives
Complex Implementation and Integration Challenges
Shortage of Skilled Automation and AI Talent
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The automation COE industry has a variety of different types of companies working together and competing against each other to help businesses reach their full digital transformation potential through scalable governance of their automation strategies. Well-known automation companies such as UiPath Inc., Automation Anywhere Inc., and Blue Prism Limited have a considerable amount of power and influence due to their creation of robust RPA and intelligent/advanced automation systems; these systems deliver foundational technologies for the centres of excellence (COE) framework at large enterprises.
Newer companies and technologists are also having a significant impact on the automation COE ecosystem, delivering new ideas and approaches for tools.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, as enterprises continue to implement structured automation frameworks to aid in their large-scale digital transformation, the automation COE market is changing. Companies' growing need for operational efficiency, standardization in how distributed automation is deployed across an organization, and centralized governance as they continue to scale their use of robotic process automation (RPA), Artificial Intelligence (AI), and intelligent automation tools across multiple departments create the driving force behind this evolving market. Automation COEs provide the ability for organizations to align their automation efforts with business goals, mitigate redundancy, and ensure compliance; as a result, they will be viewed as a strategic function rather than merely support units. Nevertheless, this growth is impeded by challenges such as complex implementations, difficulties integrating automation into legacy systems, and a lack of trained professionals capable of overseeing and managing AI-enabled automation ecosystems. The continued automation COE market trend of integrating AI and Generative AI into COE models will enable organizations to make informed and intelligent decisions while providing advanced analytics capabilities and automating the processing of unstructured data. Additionally, federated COE models are becoming more prevalent in balancing centralized control of automated processes with business-unit agility. North America continues to hold the largest automation COE market share.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 1.8 Billion |
| Market size value in 2033 | USD 6.64 Billion |
| Growth Rate | 15.6% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Automation COE Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Automation COE Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Automation COE Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Automation COE Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
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Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Global Automation COE Market size was valued at USD 251.8 Billion in 2025 and is poised to grow from USD 268.72 Billion in 2026 to USD 423.66 Billion by 2033, growing at a CAGR of 6.72% during the forecast period (2026-2033).
The automation COE industry has a variety of different types of companies working together and competing against each other to help businesses reach their full digital transformation potential through scalable governance of their automation strategies. Well-known automation companies such as UiPath Inc., Automation Anywhere Inc., and Blue Prism Limited have a considerable amount of power and influence due to their creation of robust RPA and intelligent/advanced automation systems; these systems deliver foundational technologies for the centres of excellence (COE) framework at large enterprises. 'UiPath', 'Automation Anywhere', 'SS&C Blue Prism', 'NICE', 'Digital Workforce', 'HelpSystems', 'ElectroNeek', 'Roboyo', 'Appian', 'Cigniti', 'Innominds', 'Verint Systems'
Across all sectors, businesses have been challenged to raise productivity while reducing the time and the number of manual tasks that need to be performed on a regular basis. One means to accomplish these goals is through establishing a Centre of Excellence (CoE) for Automation, which can enable companies to create a standardized approach to automate work processes across multiple departments, thereby eliminating redundant activities, and allowing them to efficiently scale their automation programmes.
Integration of AI and Smart Automation: The advent of artificial intelligence and the continued growth of machine learning and generative AI has led to a shift from traditional rule-based automation methodologies to new models of intelligent decision making that utilize unstructured data and/or predictive insight to develop cognitive automation applications in an enterprise as a whole (i.e., innovation hubs).
Why is North America a Key Region for Automation COE Market?
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