Report Description Table of Contents Industry Report and Statistics (Facts & Figures) - Software Sales (RPA Software Licenses, Subscriptions, & Maintenance), Services Sales (Implementation, Consulting, Training & Ongoing Support), Revenue Share by leading RPA Vendors, Average Revenue Per User, RPA ROI, Go-to-Market (GTM) Strategy, Supply Chain Analysis, Start-up Ecosystem & Product Rating, etc. The global robotic process automation market will witness a robust CAGR of 27%, valued at $4.92 Billion in 2023, and expected to appreciate and reach $7.93 Billion in 2025 and $42.38 Billion by 2032, confirms Strategic Market Research. RPA or Robotic Process Automation, is one of the fastest growing software market areas, and it is still increasing. Businesses are highly interested in using RPA as a feasible solution for automating the repetitive human processes including data processing. Workflows are streamlined through RPA, which helps businesses become more profitable, adaptable, and responsive, thereby boosting employee satisfaction, engagement, & productivity. According to the SMR poll, as of June 2021, around 20% of all firms worldwide have implemented RPA, as compared to 13% in 2020. Globally, there were nearly 3.6 million industrial robots used for automation as of 2022. The number significantly increased during the Covid 19 pandemic as a result of efforts by worldwide organizations to reduce human involvement and enhance automation across their businesses. It takes a dedicated attitude and an adequate strategy from experimentation to transformation to maximize the benefits of RPA. Organizations must make the right strategic decisions in order to implement this transition and establish the groundwork for a "premium" digital-workforce to assist their quest for competitive advantage. It takes time for large businesses, in particular, to learn about and use RPA at scale due to the relative infancy of the robotic automation market. Businesses may automate more complicated processes with even unstructured data by combining RPA with complementing technologies such as Read & Interpret, Machine Learning, NLP, Process Mining, Virtual Bots, & Workflow Orchestration. Robotic processes will enable automation of more complicated and sophisticated activities, thereby enhancing organizational decision-making. The above-mentioned factors are anticipated to spearhead the market expedition rate significantly as time progresses. Market Dynamics:- Drivers: - {Enhanced compliance, Reduction of different errors in an organization, and advent of RPAaaS (Robotic process automation as a service)} One of the key advantages of RPA is its capacity to improve compliance of an organization with various norms and regulations. Bots provide an audit trail history and completely abide by regulatory compliance rules. Additionally, they reduce the danger of data breach & disclosure by enabling access to & processing of private data without human participation. As per an SMR survey, around 38% of managers worldwide have agreed that compliance improvements are regarded as the topmost benefit of RPA, followed by increased productivity and performance efficacy, thereby fuelling the expedition of the market worldwide. Robots are more accurate & less prone to errors than Homo sapiens while performing routine tasks. They carry out the workflow of an organization with great precision and consistency, thereby giving outstanding results. There are a plethora of errors in an organization that the robotic automation process help to prevent, such as Errors in Data Entry, Reporting Errors via Automated Reporting, Order streamlining errors, etc., thereby proliferating market prosperity worldwide. Furthermore, the advent of RPAaaS (Robotic process automation as a service) is fostering market growth significantly. (RPAaaS) is a sort of outsourcing where the service provider employs a cloud based software robot that uses automation, ML/machine learning, & computer vision to assist clients in doing repetitive and high-volume operations of an organization. As per the SMR study, RPAaaS can reduce labour-intensive jobs by up to 80% in future. For financial services, RPAaaS can give cost savings from 20% to 60% of the baseline FTE costs of an organization. Restraints:- (Need for constant upgradation, as well as some customization and infrastructure issues) While implementing robotic process automation technologies, businesses must invest in robust infrastructure and a qualified workforce to oversee all processes. Setting up RPA infrastructure, hiring professionals or training current employees, and deploying thousands of bots is time-consuming and costly. Furthermore, automated bot platforms change regularly, and the necessary adaptability isn't always built into bots. It also necessitates a distinct identity as well as cutting-edge technology. As a result, updating the platform to meet the company's ever-changing needs is really a daunting task. All of these factors are impeding the overall prosperity of the market globally. Opportunities:- (Rise in implementation of RPA tools by federal agencies, integration of A.I. with RPA (Intelligent Automation), etc.) RPA tools are being used by a variety of federal agencies nowadays. More than two dozen government departments are actively using RPA, as per General Services Administration's 2020 RPA Playbook. Their applications include automated payments, trip payments, activity logging, etc. Examples of federal firms involved in this innovation include: General Service Administration: This agency implemented Truman, an RPA system that simplified its federal purchasing process. Truman's purpose is to free up workers' time for negotiations, market research, and customer and industry interaction. It assists the acquisition workforce in reviewing new offer submissions under the agency's MAS/ Multiple Award Schedule (MAS) program in two ways. Firstly, it populates internal pre-negotiation & price-negotiation memorandums using vendor package information. Secondly, it validates conformity with external databases." According to SMR, GSA says that Truman has examined over 4,000 fresh MAS offers & saved almost 5,000 hours of employee work since the program's implementation and is thereby expected to cater to extensive opportunities for market enhancement in the future. Intelligent automation (I.A.) is defined as a full-service intelligent automation system that combines RPA & artificial intelligence (A.I.). It can bring numerous benefits that help in an organization's digital transition. Intelligent solutions, such as virtual assistants & chatbots, provide enterprises with critical insights that aid in automated efficiency and faster customer response. AI-combined RPA processes such as optical character recognition (OCR), for example, enable paper-intensive industries like healthcare and finance to automate text analysis and promote better decision-making, thereby catering to ample opportunities for the expedition of the market with time. Robotic Process Automation Market Segmentation Analysis:- The Robotic Process Automation market has been broadly ramified in terms of Type, Deployment, Application, and Geography Type Service Implementing Consulting Training Software Deployment On-premise Cloud Application Pharma & Healthcare BFSI IT & Telecom Retail & Consumer Goods Communication &Media Logistics Energy & Utilities Others Region Outlook North America U.S.A. Mexico Canada Rest N.A. Europe Germany France Finland Russia U.K. Rest Europe Asia Pacific India China Australia Japan Singapore New Zealand Rest APAC Latin America Mexico Brazil Africa For the Type section, the Service segment undoubtedly led the market with a mammoth share of around 63.66% in 2022. Out of the service segments, the implementation sector held the maximum share. Implementation of RPA inculcates an adequate usage of A.I. and Machine learning technologies. The A.I. or ML-integrated RPAs that a business can implement in order to fulfill their expectations, are: No-code RPA: A no-code robotic process automation (RPA) platform handles the business's back-office automation. No-code RPA technologies automate corporate operations & processes without the requirement of any sort of programming. Open-source RPA: Open source RPA is a type of robotic process automation in which software robots are created by utilization of an open-source coding tool or language that is freely available to the public. Robot Framework, for example, is a highly advanced RPA tool. It enables enterprises to fulfill the increased demand for outsourcing while also providing business process automation services at a low cost. All of these facts are significantly enhancing the overall expedition rate of the market. For the Deployment section, the "on-premise" category accounted for 80.52% of total revenue in 2022 and is expected to prosper at a healthy CAGR from 2021 until 2030. In enterprises, on-premise deployment ensures that the RPA access policies adhere to internal protocols. Furthermore, it enables enterprises to regulate and configure RPA systems as needed. Moreover, large-scale organizations are hesitant to divulge their information & internal data, resulting in a higher acceptance of on-premise RPA system deployment, thereby fostering market growth. For Application, the BFSI segment significantly dominated the market with a share of nearly 31.22% in 2022. Many operations in BFSI can be automated by RPA adoption, including credit evaluation, accounts payable, account reconciliation, and fraud protection. This can make such operations faster, easier, and more precise, propelling the market growth. Choosing the right processes is the first step to implementing RPA solutions in industries like banking and insurance. BFSI firms must prioritize their procedures and evaluate them based on practicality and overall impact. They must develop a compelling business case for implementing RPA in the chosen process, emphasizing the possible cost savings, efficiency gains, and other advantages. According to an SMR analysis, approximately 80% of the main companies in the financial and banking industries are already utilizing RPA solutions for a variety of functions. For Geography, Asia Pacific led the growth with almost 40.07% share in 2022. China held almost 61.11% of the entire APAC market share. Cyclone Robotics, one of China's major manufacturers of RPA software, has expanded its global footprint by entering the Asia-Pacific area. The company had a presence in Singapore since 2021, from which it expanded its markets in Malaysia, the Philippines, Indonesia, Vietnam, Taiwan, and India. Currently, Cyclone Robotics is focusing on hyper-automation, which refers to the usage of advanced technologies to implement several automation capabilities, including RPA, whether separately or in tandem, integrated by A.I. and ML, thereby amplifying the APAC market growth. North America held the fastest growth rate in 2022. This is due to the region's strong penetration of automation solutions & process management in the U.S. government organizations and businesses. Furthermore, the deployment of RPA among the North American SMEs due to rising awareness about improving various company operations such as data input, accounting/finance, record keeping, procurement detail, & other HR-related functions is accelerating the market growth of this region. Robotic Process Automation Market Competitive Landscape:- The study includes a thorough investigation of the main strategic decisions made by the top market players in recent years, resulting in a full competitive landscape analysis. The following organizations are the industry leaders in the Robotic Process Automation Market:- Automation Anywhere Cyclone Robotics Pegasystems Blue Prism SS&C Technologies Holdings FPT Software EdgeVerve Systems Ltd. NICE KOFAX, Inc. OnviSource, Inc. NTT Advanced Technology Corp. UiPath Recent Developments:- On October 2022, SS&C Technologies Holdings announced the launch of its I.A. / intelligent automation portfolio under the SS&C Blue-Prism brand at the SS&C Deliver Conference. To deliver a plethora of intelligent automation (I.A.) services, SS&C Blue Prism integrates RPA, BPM, and low and no-code capabilities. By adopting this technique, the firm is able to provide high-quality and innovative services by leveraging its I.A./ intelligent automation platform & considerable industry expertise. On Oct 2022, Automation Anywhere was designated as the No. 1 cloud platform, delivering automation & process intelligence solutions throughout all industries to automate end-to-end business processes and accelerate enterprise transformation. The company provides the world's only cloud platform, "RPA Workspace," that combines RPA, A.I., machine learning, & analytics to automate repetitive operations and generate organizational agility, thereby building stronger customer relationships which drive business success. On September 2022, OnviSource expanded its RPA Solution with a New, No-Code Workflow Customization Platform powered by the Company's Own Artificial Intelligence Engine. OnviSource's New Automata Version 3.0 offers a wide range of RPA Features, including attended or unattended workflows, rule-based or AI-driven and analytics-based automation, pre-packaged or user-customized workflows, and server-based or desktop automation, which in turn proliferates the market growth. Key RPA platforms delivered by pivotal market players:- RPA Platform Features Companies New Automata Version 3.0 Offers a wide range of RPA Features, including attended or unattended workflows, rule-based or AI-driven and analytics-based automation, pre-packaged or user-customized workflows, and server-based or desktop automation OnviSource RPA Workspace The world's only cloud-platform that combines RPA, AI, machine learning, & analytics to automate repetitive operations and generate organisational agility, thereby building stronger customer relationships which drive business success. Automation Anywhere PEGA Platform A powerful, low-code, RPA platform which helps the world's greatest enterprises in AI-powered decision-making & workflow automation to address their most critical business concerns, such as personalising engagement, automating service, and optimising operations. Pegasystems Frequently Asked Question About This Report What is the size of the RPA market? The robotic process automation market share in 2021 was USD 2.08 billion and will surpass USD 23.86 billion by 2030 with a CAGR of 27.13% approximately. Who are the pivotal players involved in this market? Pivotal players operating in the market are Automation Anywhere, Cyclone Robotics, Pegasystems, Blue Prism, SS&C Technologies Holdings, FPT Software, Edge Verve Systems Ltd., NICE, KOFAX, Inc., OnviSource, Inc., NTT Advanced Technology Corp, UiPath, etc. Which region is the current market leader worldwide? Asia-Pacific region led the growth with almost 40.07% share in 2022. Which RPA segment is the fastest growing? The BFSI segment is the fastest-growing market, with a share of nearly 31.22% in 2022. What is the largest RPA segment? The Deployment section is the largest RPA segment, with the "on-premise" category accounting for 80.52% of total revenue in 2022 and is expected to grow at a healthy CAGR from 2021 until 2030. Sources: https://venturebeat.com/automation/rpa-market-sees-explosive-growth-as-firms-look-to-automate-more-tasks/ https://www2.deloitte.com/us/en/pages/operations/articles/global-robotic-process-automation-report.html https://www.gartner.com/en/newsroom/press-releases/2020-09-21-gartner-says-worldwide-robotic-process-automation-software-revenue-to-reach-nearly-2-billion-in-2021 https://www.brookings.edu/research/how-robotic-process-and-intelligent-automation-are-altering-government-performance/ https://www.technewsworld.com/story/the-endless-possibilities-of-robotic-process-automation-87244.html https://www.forbes.com/sites/bernardmarr/2020/10/09/robotic-process-automation-is-coming-here-are-5-ways-to-prepare-for-it/?sh=257fb32325d9 https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-robotic-process-automation/ https://theecmconsultant.com/benefits-of-robotic-process-automation/ https://www.healthcareitnews.com/blog/too-many-tasks-too-little-time-robotic-process-automation-can-help https://www.informationweek.com/software/roadmap-to-rpa-implementation-thinking-long-term https://www.federaltimes.com/it-networks/2022/11/17/how-robotic-process-automation-is-helping-federal-agencies-manage-data/ 1. Introduction 1.1. Study Objective 1.2. Market Definition 1.3. Study Scope 1.3.1. Markets Covered 1.3.2. Geographic Scope 1.3.3. Years Considered 1.3.4. Stakeholders 2. Research Methodology 2.1. Data Procurement 2.2. Paid Database 2.2.1. Secondary Data 2.2.1.1. Key Secondary sources 2.2.2. Primary Data 2.2.2.1 Primary sources 2.2.2.2. Key Type insights 2.2.2.3. Primary interviews with experts 2.2.2.4. Key primary respondent list 2.3. Market Size Estimation 2.4. Bottom-Up and Top-Down Approaches 2.4.1. Bottom-Up Approach 2.4.1.1. Approach for arriving at Market size by bottom-up analysis 2.4.2. Top-Down Approach 2.4.2.1. Approach for Capturing Market Size by Top-Down Analysis 2.5. Market Breakdown and Data Triangulation 2.6. Research Methodology 2.7. Risk Assessment 3. Executive Summary 3.1 Robotic Process Automation Market: Post-Covid-19 3.1.1 Actual Scenario 3.1.2 Pessimistic Scenario 3.1.3 Optimistic Scenario 3.1.4 Market Summary 4. Type Outlook 4.1 Market Snapshot 4.2 Robotic Process Automation Market 4.2.1 Market, 2020 – 2028 (USD Million) 4.3 Regional Business Analysis 4.3.1 Market, by region, 2021-2030 (USD Million) 4.4 By Deployment Business Analysis 4.4.1 Market, By Deployment, 2021-2030 (USD Million) 4.5 By Type Business Analysis 4.5.1 Market, By Type, 2021-2030 (USD Million) 4.6 Application Business Analysis 4.6.1 Market, By Application, 2021-2030 (USD Million) 4.7 Value Chain Analysis 4.8 Market Variable Analysis 4.8.1 Market Drivers Analysis 4.8.2 Market Restraints Analysis 4.9 Business Environment Analysis Tool 4.9.1 Market PEST analysis 4.9.2 Market Porter’s analysis 4.10 Penetration & Growth Prospect Mapping 5. Market Dynamics 5.1. Introduction 5.2. Market Dynamics 5.2.1. Drivers 5.2.2. Restraints 5.2.3. Opportunities 5.2.4. Challenges 5.3. Impact of Covid-19 On Market 5.4. Value Chain Analysis 5.5. Ecosystem 5.6. Patent Analysis 5.7. Trade Analysis 5.8. Tariff Analysis 5.9. Case Study Analysis 5.10. Porter’s Five Forces Analysis 5.10.1 Threat of New Entrants 5.10.2 Threat of Substitutes 5.10.3 Bargaining Power of Buyers 5.10.4 Bargaining Power of Suppliers 5.10.5 Degree of Competition 5.11. Application Analysis 5.11.1. Trends in Application (2014-2020) 5.11.2. Trends in Application (2021-2028) 5.12. Pricing Analysis 5.12.1. Average Price Trend Analysis (By Region, By Countries) 6. Competitive & Vendor Landscape 6.1. Company Market Share Analysis 6.2. Manufacturers Manufacturing Sites, Area Served, Deployment 6.3. Market Competitive Situation and Trends 6.4. Manufacturers Mergers & Acquisitions, Expansion Plans 7. Market: By Deployment Segment Analysis 7.1. Introduction 7.2. Sales Volume & Revenue Analysis (2021-2030) 7.3. On-premise 7.3.1. On-premise, 2021-2030 (USD Million) 7.4. Software 7.4.1. Software Market, 2021-2030 (USD Million) 8. Market: By Type Segment Analysis 8.1. Introduction 8.2. Sales Volume & Revenue Analysis (2021-2030) 8.3. Service 8.3.1. Service Market, 2021-2030 (USD Million) 8.4. Implementing 8.4.1. Implementing Market, 2021-2030 (USD Million) 8.5. Consulting 8.5.1. Consulting Market, 2021-2030 (USD Million) 8.6. Training 8.6.1. Training Market, 2021-2030 (USD Million) 8.7. Software 8.7.1. Software Market, 2021-2030 (USD Million) 9. Market: By Application Segment Analysis 9.1. Introduction 9.2. Sales Volume & Revenue Analysis (2021-2030) 9.3. Pharma & Healthcare 9.3.1. Pharma & Healthcare Market, 2021-2030 (USD Million) 9.4. IT & TELECOM 9.4.1. IT & TELECOM Market, 2021-2030 (USD Million) 9.5. Retail & Consumer Goods 9.5.1. Retail & Consumer Goods Market, 2021-2030 (USD Million) 9.6. Communication & Media 9.6.1. Communication & Media Market, 2021-2030 (USD Million) 9.7. Logistics 9.7.1. Logistics Market, 2021-2030 (USD Million) 9.7. Energy & Utilities 9.7.1. Energy & Utilities Market, 2021-2030 (USD Million) 9.7. Others 9.7.1. Others Market, 2021-2030 (USD Million) 10. Market: Regional Outlook 10.1 North America 10.1.1. North America Market, By Deployment, 2021-2030 (USD Million) 10.1.2. North America Market, By Type, 2021-2030 (USD Million) 10.1.3. North America Market, by Application, 2021-2030 (USD Million) 10.1.4. North America Market, by Country, 2021-2030 (USD Million) 10.1.4.1. U.S. 10.1.4.1.1. U.S. Market, By Deployment, 2021-2030 (USD Million) 10.1.4.1.2. U.S. Market, By Type, 2021-2030 (USD Million) 10.1.4.1.3. U.S. Market, by Application, 2021-2030 (USD Million) 10.1.4.2. Canada 10.1.4.2.1. Canada Market, By Deployment, 2021-2030 (USD Million) 10.1.4.2.2. Canada Market, By Type, 2021-2030 (USD Million) 10.1.4.2.3. Canada Market, by Application, 2021-2030 (USD Million) 10.2. Europe 10.2.1. Europe Market, By Deployment, 2021-2030 (USD Million) 10.2.2. Europe Market, By Type, 2021-2030 (USD Million) 10.2.3. Europe Market, by Application, 2021-2030 (USD Million) 10.2.4. Europe Market, by country, 2021-2030 (USD Million) 10.2.4.1 U.K. 10.2.4.1.1. U.K. Market, By Deployment, 2021-2030 (USD Million) 10.2.4.1.2. U.K. Market, By Type, 2021-2030 (USD Million) 10.2.4.1.3. U.K. Market, by Application, 2021-2030 (USD Million) 10.2.4.2. Germany 10.2.4.2.1. Germany Market, By Deployment, 2021-2030 (USD Million) 10.2.4.2.2. Germany Market, By Type, 2021-2030 (USD Million) 10.2.4.2.3. Germany Market, by Application, 2021-2030 (USD Million) 10.2.4.3. France 10.2.4.3.1. France Market, By Deployment, 2021-2030 (USD Million) 10.2.4.3.2. France Market, By Type, 2021-2030 (USD Million) 10.2.4.3.3. France Market, by Application, 2021-2030 (USD Million) 10.2.4.4. Rest of Europe 10.2.4.4.1. Rest of Europe Market, By Deployment, 2021-2030 (USD Million) 10.2.4.4.2. Rest of Europe Market, By Type, 2021-2030 (USD Million) 10.2.4.4.3. Rest of Europe Market, by Application, 2021-2030 (USD Million) 10.3. Asia Pacific 10.3.1. Asia Pacific Market, By Deployment, 2021-2030 (USD Million) 10.3.2. Asia Pacific Market, By Type, 2021-2030 (USD Million) 10.3.3. Asia Pacific Market, by Application, 2021-2030 (USD Million) 10.3.4. Asia Pacific Market, by country, 2021-2030 (USD Million) 10.3.4.1. China 10.3.4.1.1. China Market, By Deployment, 2021-2030 (USD Million) 10.3.4.1.2. China Market, By Type, 2021-2030 (USD Million) 10.3.4.1.3. China Market, by Application, 2021-2030 (USD Million) 10.3.4.2. India 10.3.4.2.1. India Market, By Deployment, 2021-2030 (USD Million) 10.3.4.2.2. India Market, By Type, 2021-2030 (USD Million) 10.3.4.2.3. India Market, by Application, 2021-2030 (USD Million) 10.3.4.3. Japan 10.3.4.3.1. Japan Market, By Deployment, 2021-2030 (USD Million) 10.3.4.3.2. Japan Market, By Type, 2021-2030 (USD Million) 10.3.4.3.3. Japan Market, by Application, 2021-2030 (USD Million) 10.3.4.4. South Korea 10.3.4.4.1. South Korea Market, By Deployment, 2021-2030 (USD Million) 10.3.4.4.2. South Korea Market, By Type, 2021-2030 (USD Million) 10.3.4.4.3. South Korea Market, by Application, 2021-2030 (USD Million) 10.3.4.5. Rest of ASIA PACIFIC 10.3.4.5.1. Rest of ASIA PACIFIC Market, By Deployment, 2021-2030 (USD Million) 10.3.4.5.2. Rest of ASIA PACIFIC Market, By Type, 2021-2030 (USD Million) 10.3.4.5.3. Rest of ASIA PACIFIC Market, by Application, 2021-2030 (USD Million) 10.4. Latin America 10.4.1. Latin America Market, By Deployment, 2021-2030 (USD Million) 10.4.2. Latin America Market, By Type, 2021-2030 (USD Million) 10.4.3. Latin America Market, by Application, 2021-2030 (USD Million) 10.4.4. Latin America Market, by country, 2021-2030 (USD Million) 10.4.4.1. Brazil 10.4.4.1.1. Brazil Market, By Deployment, 2021-2030 (USD Million) 10.4.4.1.2. Brazil Market, By Type, 2021-2030 (USD Million) 10.4.4.1.3. Brazil Market, by Application, 2021-2030 (USD Million) 10.4.4.2. Mexico 10.4.4.2.1. Mexico Market, By Deployment, 2021-2030 (USD Million) 10.4.4.2.2. Mexico Market, By Type, 2021-2030 (USD Million) 10.4.4.2.3. Mexico Market, by Application, 2021-2030 (USD Million) 10.4.4.3. Rest of Latin America 10.4.4.3.1. Rest of the Latin America Market, By Deployment, 2021-2030 (USD Million) 10.4.4.3.2. Rest of the Latin America Market, By Type, 2021-2030 (USD Million) 10.4.4.3.3. Rest of the Latin America Market, by Application, 2021-2030 (USD Million) 10.5. MEA 10.5.1. MEA Market, By Deployment, 2021-2030 (USD Million) 10.5.2. MEA Market, By Type, 2021-2030 (USD Million) 10.5.3. MEA Market, by Application, 2021-2030 (USD Million) 10.5.4. MEA Market, by Region, 2021-2030 (USD Million) 11. Competitive Landscape 11.1 AUTOMATION ANYWHERE 11.1.1. Company overview 11.1.2. Financial performance 11.1.3. DeploymentPortfolio Analysis 11.1.4. Business Strategy & Recent Development 11.2. Cyclone Robotics 11.2.1. Company overview 11.2.2. Financial performance 11.2.3. Deployment Portfolio Analysis 11.2.4. Business Strategy & Recent Development 11.3. Pegasystems 11.3.1. Company overview 11.3.2. Financial performance 11.3.3. Deployment Portfolio Analysis 11.3.4. Business Strategy & Recent Development 11.4. Blue Prism 11.4.1. Company overview 11.4.2. Financial performance 11.4.3. Deployment Portfolio Analysis 11.4.4. Business Strategy & Recent Development 11.5. SS & C Technologies Holdings 11.5.1. Company overview 11.5.2. Financial performance 11.5.3. Deployment Portfolio Analysis 11.5.4. Business Strategy & Recent Development 11.6. FPT Software 11.6.1. Company overview 11.6.2. Financial performance 11.6.3. Deployment Portfolio Analysis 11.6.4. Business Strategy & Recent Development 11.7. EDGE VERVE SYSTEMS LTD. 11.7.1. Company overview 11.7.2. Financial performance 11.7.3. Deployment Portfolio Analysis 11.7.4. Business Strategy & Recent Development 11.8. NICE 11.8.1. Company overview 11.8.2. Financial performance 11.8.3. Deployment Portfolio Analysis 11.8.4. Business Strategy & Recent Development 11.9. KOFAX, Inc. 11.9.1. Company overview 11.9.2. Financial performance 11.9.3. Deployment Portfolio Analysis 11.9.4. Business Strategy & Recent Development 11.10. OnviSource, Inc. 11.10.1. Company overview 11.10.2. Financial performance 11.10.3. Deployment Portfolio Analysis 11.10.4. Business Strategy & Recent Development 11.10. NTT Advanced Technology Corp. 11.10.1. Company overview 11.10.2. Financial performance 11.10.3. Deployment Portfolio Analysis 11.10.4. Business Strategy & Recent Development 11.10. UiPath 11.10.1. Company overview 11.10.2. Financial performance 11.10.3. Deployment Portfolio Analysis 11.10.4. Business Strategy & Recent Development List of Tables (57 Tables) TABLE 1. Market, By Deployment, 2021-2030 (USD Million) TABLE 2. Market FOR On-premise, BY REGION, 2021-2030 (USD Million) TABLE 3. Market FOR Software, BY REGION, 2021-2030 (USD Million) TABLE 4. Market FOR Robotic Process Automation, BY REGION, 2021-2030 (USD Million) TABLE 5. Market, By Type, 2021-2030 (USD Million) TABLE 6. Market FOR Service, BY REGION, 2021-2030 (USD Million) TABLE 7. Market FOR Implementing, BY REGION, 2021-2030 (USD Million) TABLE 8. Market FOR Consulting, BY REGION, 2021-2030 (USD Million) TABLE 9. Market FOR Training, BY REGION, 2021-2030 (USD Million) TABLE 10. Market FOR Software, BY REGION, 2021-2030 (USD Million) TABLE 11. Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 12. Market FOR Pharma & Healthcare, BY REGION, 2021-2030 (USD Million) TABLE 13. Market FOR IT & TELECOM, BY REGION, 2021-2030 (USD Million) TABLE 14. Market FOR Retail & Consumer Goods, BY REGION, 2021-2030 (USD Million) TABLE 15. Market FOR Communication & Media, BY REGION, 2021-2030 (USD Million) TABLE 16. Market FOR Logistics, BY REGION, 2021-2030 (USD Million) TABLE 17. Market FOR Energy & Utilities, BY REGION, 2021-2030 (USD Million) TABLE 18. Market FOR Others, BY REGION, 2021-2030 (USD Million) TABLE 19. Market, BY REGION, 2021-2030 (USD Million) TABLE 20. NORTH AMERICA Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 21. NORTH AMERICA Market, By Deployment, 2021-2030 (USD Million) TABLE 22. NORTH AMERICA Market, By Type, 2021-2030 (USD Million) TABLE 23. NORTH AMERICA Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 24. EUROPE Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 25. EUROPE Market, By Deployment, 2021-2030 (USD Million) TABLE 26. EUROPE Market, By Type, 2021-2030 (USD Million) TABLE 27. EUROPE Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 28. ASIA-PACIFIC Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 29. ASIA-PACIFIC Market, By Deployment, 2021-2030 (USD Million) TABLE 30. ASIA-PACIFIC Market, By Type, 2021-2030 (USD Million) TABLE 31. ASIA-PACIFIC Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 32. LAMEA Market, BY COUNTRY, 2021-2030 (USD Million) TABLE 33. LAMEA Market, By Deployment, 2021-2030 (USD Million) TABLE 34. LAMEA Market, By Type, 2021-2030 (USD Million) TABLE 35. LAMEA Market, BY APPLICATION, 2021-2030 (USD Million) TABLE 36. AUTOMATION ANYWHERE.: COMPANY SNAPSHOT TABLE 37. AUTOMATION ANYWHERE.: OPERATING SEGMENTS TABLE 38. Cyclone Robotics: COMPANY SNAPSHOT TABLE 39. Cyclone Robotics: OPERATING SEGMENTS TABLE 40. Pegasystems: COMPANY SNAPSHOT TABLE 41. Pegasystems: OPERATING SEGMENTS TABLE 42. Blue Prism: COMPANY SNAPSHOT TABLE 43. Blue Prism: OPERATING SEGMENTS TABLE 44. SS & C Technologies Holdings: COMPANY SNAPSHOT TABLE 45. SS & C Technologies Holdings: OPERATING SEGMENTS TABLE 46. FPT Software: COMPANY SNAPSHOT TABLE 47. FPT Software: OPERATING SEGMENTS TABLE 48. EDGE VERVE SYSTEMS LTD.: COMPANY SNAPSHOT TABLE 49. EDGE VERVE SYSTEMS LTD.: OPERATING SEGMENTS TABLE 50. KOFAX, Inc.: COMPANY SNAPSHOT TABLE 51. KOFAX, Inc.: OPERATING SEGMENTS TABLE 52. OnviSource, Inc..: COMPANY SNAPSHOT TABLE 53. OnviSource, Inc..: OPERATING SEGMENTS TABLE 54. NTT Advanced Technology Corp..: COMPANY SNAPSHOT TABLE 55. NTT Advanced Technology Corp..: OPERATING SEGMENTS TABLE 56. UiPath.: COMPANY SNAPSHOT TABLE 57. UiPath.: OPERATING SEGMENTS List of Figures (22 Figures) Figure 1 Robotic Process Automation Market: Research Methodology Steps Figure 2 Research Design Figure 3 Breakdown of Primaries: Market Figure 4 Research Methodology: Hypothesis Building Figure 5 Market Deployment-Based Estimation Figure 6 Top 12 Companies with Highest No. Of Patent in Last 9 Years Figure 7 No. Of Patents Granted Per Year, 2019–2020 Figure 8 Import Data for Robotic Process Automation, By Country, 2016–2020 (USD Thousand) Figure 9 Export Data for Robotic Process Automation, By Country, 2016–2020 (USD Thousand) Figure 10 Data Triangulation Methodology Figure 11 Market, By Type, 2019 vs 2025 (USD Million) Figure 12 Market Share, By Application, 2019 vs 2025 (USD Million) Figure 13 Market Share, By Deployment, 2019 vs 2025 (USD Million) Figure 14 Geographical Snapshot of the Market Figure 15 BFSI to Witness Higher CAGR in Market for Application Segment during Forecast Period. Figure 16 On-premise to Witness Higher CAGR in Market for Deployment Segment during Forecast Period. Figure 17 Service to Witness Higher CAGR in the Market for Type Segment during Forecast Period. Figure 18 Asia Pacific Region Accounted for the Largest Share of the Market, By Regional Basis, in 2019 Figure 19 Market: Drivers, Restraints, Opportunities, and Challenges Figure 20 North America: Market Snapshot Figure 21 Asia Pacific: Market Snapshot Figure 22 Vendor Dive: Evaluation Overview