Global Hyperautomation Market Size, Share & Industry Trends Analysis Report By Deployment, By Technology, By Function, By Component (Hardware, Software, and Services), By Enterprise Size, By Vertical, By Regional Outlook and Forecast, 2022 - 2028
Description
Global Hyperautomation Market Size, Share & Industry Trends Analysis Report By Deployment, By Technology, By Function, By Component (Hardware, Software, and Services), By Enterprise Size, By Vertical, By Regional Outlook and Forecast, 2022 - 2028
The Global Hyperautomation Market size is expected to reach $82.2 billion by 2028, rising at a market growth of 16.4% CAGR during the forecast period.
Organizations employ hyperautomation, a business-driven, disciplined strategy, to fastly discover, validate, and automate as several businesses and IT activities as they can. Artificial intelligence (AI), event-driven software architecture, machine learning, business process management (BPM), robotic process automation (RPA), intelligent business process management suites (iBPMS), and low-code/no-code tools, integration platform as a service (iPaaS), packaged software, and other types of decision, task automation tools and process, and are few of the technologies, platforms, or tools, that are used in the context of hyperautomation.
A hyperautomation practice entails determining which tasks should be automated, selecting the proper automation technologies, fostering agility via the reuse of the automated processes, and enhancing their capabilities utilizing a variety of AI and machine learning techniques. A center of excellence (CoE) that promotes automation efforts is often used to manage hyperautomation endeavors.
Hyperautomation aims to take use of the data gathered and produced by digital processes in addition to reducing costs, increasing production, and improving efficiency. Businesses may use such data to better inform and accelerate business decisions.
An intelligent digital workforce that can handle repetitive activities to improve employee performance is created by upskilling RPA. These Digital Workers, who can link to numerous corporate systems, work with both structured and unstructured data, evaluate data and make judgments, and find new processes and automation possibilities, are the change agents of hyperautomation.
COVID-19 Impact Analysis
Automation and robots may help in these circumstances by reducing the need for human labor, boosting productivity, and decreasing the chance of further plant outages. IoT, AI, and digitalization will also play a significant role in the future and decide new working methods. This raises the prospect of a highly automated market in the years to come. The dearth of trained employees and skilled workers is currently a serious problem in many fields. Although businesses are naively adopting this trend, which might have disastrous effects, they are not completely aware of where automation is necessary for their operations. Lack of trained labor and appropriate education are major factors in the implementation of cutting-edge technologies such as artificial intelligence, natural language processing, and machine learning, which may impede market development.
Market Growth Factors
Increasing hyper automation to gather critical information
Needing less technical expertise will make configuring and managing automation tools and solutions simpler. If your company employs Hyper automation technologies, your staff will feel more empowered since they may be able to add something unique and helpful to your desk. Moving forward from RPA, hyper-automation accentuates and activates the characteristics of Intelligent Process Automation (IPA). IPA is becoming more prominently included in everyday business activities across sectors. To describe the monitoring of IT infrastructure, Gartner created the phrase "Hybrid Digital Infrastructure Management." The term "HDIM" refers to the activity of seeing and gaining access to an organization's infrastructure as a whole.
Increasing digitization
With the use of cutting-edge methodologies like Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence, hyperautomation is a real digital transformation (AI). It automates complex business procedures even in situations where subject matter experts were once required. This is an augmentation of conventional business-process automation procedures. By combining AI technology with RPA, hyperautomation enables automation to carry out virtual jobs now done by businesspeople. Over the course of the projection period, all these reasons would encourage the market for hyperautomation to grow.
Market Restraining Factors
The lack of a qualified labor force might slow market expansion.
A highly trained, talented, and experienced workforce with knowledge of cutting-edge technologies like ML and AI is needed for hyperautomation. Hyperautomation does have a shortage of trained human resources, nevertheless. Additionally, since employees are unable to keep up with these ongoing technological improvements, they are becoming a barrier to employment. The implementation of modern technologies across numerous sectors is delayed as a result of many businesses' inability to offer their staff proper training due to the rapid advancement of technology. Therefore, a major barrier to the expansion of the hyperautomation Market is the shortage of qualified labor and the high cost of the technology.
Component Outlook
Based on component, the hyperautomation market is divided into hardware, software, and services. In 2021, the software segment gained a substantial revenue share in the hyperautomation market. By creating solutions that streamline data processing and tedious administrative tasks, automation software helps firms become more efficient. These software programmes may be used in almost any industry to lessen the requirement for human participation. For instance, UiPath, one of the leading vendors of robotic process automation software, introduced an end-to-end hyper-automation platform in May 2020.
Technology Outlook
Based on technology, the hyperautomation market is classified into robotic process automation (RPA), biometrics, machine learning (ML), chatbots, natural language generation (NLG), context-aware computing, and computer vision. The Computer Vision segment is anticipated to grow at a promising rate during the forecast period. When used in conjunction with intelligent automation, computer vision is revolutionizing the manufacturing process by enhancing fault detection, security & safety standards, barcode analysis, and inventory management. As a result, manufacturers can easily track product quality, damages or faults, and structure surveillance.
Deployment Outlook
Based on deployment, the hyperautomation market is divided into on-premise and cloud. The market segment is anticipated to continue to develop steadily during the projected period, keeping its position as the market leader. Businesses may provide features and functionalities with increased efficiency and flexibility thanks to cloud deployment. Organizations may use a variety of data centers and cloud platforms for research and mapping by using cloud-based solutions. Additionally, benefits like lower costs and maintenance needs are boosting businesses' desire for cloud-based hyperautomation systems.
Function Outlook
Based on Function, the Hyperautomation market is divided into Marketing and sales, finance and accounting, human resources (HR), operations and supply chain and information technology. The finance & accounting segment procured the largest revenue share in the hyperautomation market in 2021. It is anticipated that the category would continue to dominate throughout the whole projection period. The segment is expanding as a result of the growing need to standardize, automate, and integrate hyperautomation technology in payroll administration, financial analysis, collection, invoicing, and financial statement preparation. This will help to decrease errors, improve collaboration, and increase overall productivity.
Enterprise Size Outlook
Based on enterprise size, the hyperautomation market is classified into large-size enterprises and small-and medium-sized organisations (SMEs). In terms of revenue, the large-size enterprises segment led the hyperautomation market in 2021. Companies need to store enormous amounts of everyday data due to the emergence of sophisticated business tools such as data analytics and big data. International businesses often choose corporate data centers with high levels of data security. In turn, this encourages sector expansion.
Vertical Outlook
Based on Vertical, the hyperautomation Market is segmented into manufacturing, automotive, BFSI, healthcare, IT & Telecom, retail, transportation & logistics, and others. In 2021, the healthcare segment attracted a prominent revenue share. In the healthcare industry, the rising requirement for hyper-automation is helpful for smart billing by gathering bill information from each department without needing human involvement. This may assist hospitals in managing insurance and claims while also saving a tonne of time. Government funding for hyper-automation technologies is also being used in this industry.
Regional Outlook
Based on region, the hyperautomation market is classified into North America, Europe, Asia Pacific, and LAMEA. The hyperautomation market was dominated by North America in 2021 by revenue share. The increasing need for greater efficiency and reduced corporate operating expenses, as well as rapid digitalization penetration, are some of the main drivers propelling market expansion in the area. Additionally, a number of regional sectors are embracing hyperautomation to build a more durable supply chain, which is fueling regional market expansion.
The major strategies followed by the market participants are Partnership. Based on the Analysis presented in the Cardinal matrix; Tata Consultancy Services Limited and Honeywell International, Inc. are the forerunners in the Hyperautomation Market. Companies such as Mitsubishi Electric Corporation and Wipro Limited are some of the key innovators in Hyperautomation Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Wipro Limited, Honeywell International, Inc., Tata Consultancy Services Ltd., Mitsubishi Electric Corporation, Appian Corporation, UiPath, Inc., Automation Anywhere, Inc., OneGlobe, LLC, SolveXia Pty. Ltd., and Allerin Tech Pvt. Ltd.
Recent Strategies deployed in Hyperautomation Market
Partnerships, Collaboration and Partnerships
Nov-2022: UiPath entered into collaboration with Neostella, a hyper-automation firm. Through this collaboration, the customers would get flexible models which permit the enterprises to put automation into use and broaden their automation reach quickly and smoothly.
Sep-2022: UiPath partnered with OutSystems, a leader in high-performance application development. Through this partnership, the companies focused on incorporating the high-performance low-code of OutSystems with the Business Automation Platform of UiPath. The combined effort of the partnership allowed customers to intelligently and securely automate their core business applications and processes, thereby improving efficiency, saving time, and offering favourable app experiences.
Oct-2021: UiPath partnered with Snowflake, a Data Cloud company. Under this partnership, the companies focused on integrating Snowflake’s platform with UiPath Insights, a Robotic Process Automation, offering analytical solutions for reporting, measuring, and alignment of automation operations of an enterprise with strategic business results. The combined result of the partnership offered elastic scaling, computing, and enterprise-grade protected data-sharing abilities that provide users with quicker data processing, and allows them to execute analysis of long-term histories to increase their automation.
Aug-2021: Wipro Limited came into partnership with DataRobot, an AI Cloud company delivering a unified platform. Through this partnership, the company would provide Augmented Intelligence solutions to the customers and ultimately help them to become AI-based businesses. This move would simplify the process of integrating AI-led intelligence into businesses.
Feb-2020: Wipro Limited partnered with Traydstream, a company with having AI-driven platform for trade experts. This partnership would help large enterprises and banks in simplify their businesses by automating trade transaction procedures.
Product Launches and Product Expansions:
May-2022: UiPath introduced Automation Cloud Robots along with more capabilities as part of the UiPath 2022.4 platform. The offering delivers businesses with a comprehensive foundation for automation to obtain accurate and fast results.
Oct-2021: Automation Anywhere, Inc. launched Automation Anywhere for Contact Centers, AI-driven, cloud-native automation solution which helps businesses to provide a better service to customers. This newly launched platform would connect with all contact centre platforms to automate manual processes and attach data to help agents in solving problems.
May-2021: Automation Anywhere, Inc. introduced the cloud-based Epic Fast Healthcare Interoperability Resources (FHIR) API Bot. This launch would allow the integration of the inner and outer ecosystem of Epic Systems to provide preventive health warnings, efficiency, and industry compliance and maximize operational processes for cost. Additionally, this bot would automate access to electronic health records.
May-2021-May UiPath launched UiPath Platform 21.4, the latest edition of the company's platform. Platform 21.4 offers support for automation programs of large-scale and increases the abilities required for scaling while aiding enterprises in automation initiatives' management.
Dec-2020: Appian unveiled an updated version of the Appian Low-code Automation Platform. This launch would make it simple for IT to propel quick and significant business value from a new generation of scalable and powrful company's automation technologies, combined on the sector's leading platform for low-code development. The latest platform introduction offers the automation technologies and the development speed that describes the new world of hyperautomation.
Acquisitions and Mergers:
Dec-2022: Wipro Limited acquired Linecraft.ai, an industrial IoT product startup. Through this acquisition, the company would provide numerous automation solutions along with a digital layer providing analytics and insights to the consumers. Additionally, this move would broaden the digital capabilities of Wipro Limited.
Aug-2022: UiPath took over Re:infer, a Conversational Data Intelligence platform. Through this acquisition, UiPath would integrate Re:infer’s NLP technology with company's AI products and Document Understanding to broaden the ability of the company in the field of AI-powered automation services and brings new automation possibilities for the clients.
Dec-2020: Honeywell acquired Sparta Systems, a Software Development company. This acquisition would help customers to get crucial insights from quality data which can enhance the process of manufacturing without compromising supply chain continuity, patient safety and product quality. Moreover, this acquisition would maintain the leadership of Honeywell in enterprise performance management software, industrial automation and digital transformation solutions.
Jan-2020: Appian acquired Novayre Solutions SL, a developer of the Jidoka RPA platform. Through this acquisition, the company would create a single platform for RPA and low-code development allowing the integration of artificial intelligence, bots and humans.
Scope of the Study
Market Segments covered in the Report:
By Deployment
The Global Hyperautomation Market size is expected to reach $82.2 billion by 2028, rising at a market growth of 16.4% CAGR during the forecast period.
Organizations employ hyperautomation, a business-driven, disciplined strategy, to fastly discover, validate, and automate as several businesses and IT activities as they can. Artificial intelligence (AI), event-driven software architecture, machine learning, business process management (BPM), robotic process automation (RPA), intelligent business process management suites (iBPMS), and low-code/no-code tools, integration platform as a service (iPaaS), packaged software, and other types of decision, task automation tools and process, and are few of the technologies, platforms, or tools, that are used in the context of hyperautomation.
A hyperautomation practice entails determining which tasks should be automated, selecting the proper automation technologies, fostering agility via the reuse of the automated processes, and enhancing their capabilities utilizing a variety of AI and machine learning techniques. A center of excellence (CoE) that promotes automation efforts is often used to manage hyperautomation endeavors.
Hyperautomation aims to take use of the data gathered and produced by digital processes in addition to reducing costs, increasing production, and improving efficiency. Businesses may use such data to better inform and accelerate business decisions.
An intelligent digital workforce that can handle repetitive activities to improve employee performance is created by upskilling RPA. These Digital Workers, who can link to numerous corporate systems, work with both structured and unstructured data, evaluate data and make judgments, and find new processes and automation possibilities, are the change agents of hyperautomation.
COVID-19 Impact Analysis
Automation and robots may help in these circumstances by reducing the need for human labor, boosting productivity, and decreasing the chance of further plant outages. IoT, AI, and digitalization will also play a significant role in the future and decide new working methods. This raises the prospect of a highly automated market in the years to come. The dearth of trained employees and skilled workers is currently a serious problem in many fields. Although businesses are naively adopting this trend, which might have disastrous effects, they are not completely aware of where automation is necessary for their operations. Lack of trained labor and appropriate education are major factors in the implementation of cutting-edge technologies such as artificial intelligence, natural language processing, and machine learning, which may impede market development.
Market Growth Factors
Increasing hyper automation to gather critical information
Needing less technical expertise will make configuring and managing automation tools and solutions simpler. If your company employs Hyper automation technologies, your staff will feel more empowered since they may be able to add something unique and helpful to your desk. Moving forward from RPA, hyper-automation accentuates and activates the characteristics of Intelligent Process Automation (IPA). IPA is becoming more prominently included in everyday business activities across sectors. To describe the monitoring of IT infrastructure, Gartner created the phrase "Hybrid Digital Infrastructure Management." The term "HDIM" refers to the activity of seeing and gaining access to an organization's infrastructure as a whole.
Increasing digitization
With the use of cutting-edge methodologies like Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence, hyperautomation is a real digital transformation (AI). It automates complex business procedures even in situations where subject matter experts were once required. This is an augmentation of conventional business-process automation procedures. By combining AI technology with RPA, hyperautomation enables automation to carry out virtual jobs now done by businesspeople. Over the course of the projection period, all these reasons would encourage the market for hyperautomation to grow.
Market Restraining Factors
The lack of a qualified labor force might slow market expansion.
A highly trained, talented, and experienced workforce with knowledge of cutting-edge technologies like ML and AI is needed for hyperautomation. Hyperautomation does have a shortage of trained human resources, nevertheless. Additionally, since employees are unable to keep up with these ongoing technological improvements, they are becoming a barrier to employment. The implementation of modern technologies across numerous sectors is delayed as a result of many businesses' inability to offer their staff proper training due to the rapid advancement of technology. Therefore, a major barrier to the expansion of the hyperautomation Market is the shortage of qualified labor and the high cost of the technology.
Component Outlook
Based on component, the hyperautomation market is divided into hardware, software, and services. In 2021, the software segment gained a substantial revenue share in the hyperautomation market. By creating solutions that streamline data processing and tedious administrative tasks, automation software helps firms become more efficient. These software programmes may be used in almost any industry to lessen the requirement for human participation. For instance, UiPath, one of the leading vendors of robotic process automation software, introduced an end-to-end hyper-automation platform in May 2020.
Technology Outlook
Based on technology, the hyperautomation market is classified into robotic process automation (RPA), biometrics, machine learning (ML), chatbots, natural language generation (NLG), context-aware computing, and computer vision. The Computer Vision segment is anticipated to grow at a promising rate during the forecast period. When used in conjunction with intelligent automation, computer vision is revolutionizing the manufacturing process by enhancing fault detection, security & safety standards, barcode analysis, and inventory management. As a result, manufacturers can easily track product quality, damages or faults, and structure surveillance.
Deployment Outlook
Based on deployment, the hyperautomation market is divided into on-premise and cloud. The market segment is anticipated to continue to develop steadily during the projected period, keeping its position as the market leader. Businesses may provide features and functionalities with increased efficiency and flexibility thanks to cloud deployment. Organizations may use a variety of data centers and cloud platforms for research and mapping by using cloud-based solutions. Additionally, benefits like lower costs and maintenance needs are boosting businesses' desire for cloud-based hyperautomation systems.
Function Outlook
Based on Function, the Hyperautomation market is divided into Marketing and sales, finance and accounting, human resources (HR), operations and supply chain and information technology. The finance & accounting segment procured the largest revenue share in the hyperautomation market in 2021. It is anticipated that the category would continue to dominate throughout the whole projection period. The segment is expanding as a result of the growing need to standardize, automate, and integrate hyperautomation technology in payroll administration, financial analysis, collection, invoicing, and financial statement preparation. This will help to decrease errors, improve collaboration, and increase overall productivity.
Enterprise Size Outlook
Based on enterprise size, the hyperautomation market is classified into large-size enterprises and small-and medium-sized organisations (SMEs). In terms of revenue, the large-size enterprises segment led the hyperautomation market in 2021. Companies need to store enormous amounts of everyday data due to the emergence of sophisticated business tools such as data analytics and big data. International businesses often choose corporate data centers with high levels of data security. In turn, this encourages sector expansion.
Vertical Outlook
Based on Vertical, the hyperautomation Market is segmented into manufacturing, automotive, BFSI, healthcare, IT & Telecom, retail, transportation & logistics, and others. In 2021, the healthcare segment attracted a prominent revenue share. In the healthcare industry, the rising requirement for hyper-automation is helpful for smart billing by gathering bill information from each department without needing human involvement. This may assist hospitals in managing insurance and claims while also saving a tonne of time. Government funding for hyper-automation technologies is also being used in this industry.
Regional Outlook
Based on region, the hyperautomation market is classified into North America, Europe, Asia Pacific, and LAMEA. The hyperautomation market was dominated by North America in 2021 by revenue share. The increasing need for greater efficiency and reduced corporate operating expenses, as well as rapid digitalization penetration, are some of the main drivers propelling market expansion in the area. Additionally, a number of regional sectors are embracing hyperautomation to build a more durable supply chain, which is fueling regional market expansion.
The major strategies followed by the market participants are Partnership. Based on the Analysis presented in the Cardinal matrix; Tata Consultancy Services Limited and Honeywell International, Inc. are the forerunners in the Hyperautomation Market. Companies such as Mitsubishi Electric Corporation and Wipro Limited are some of the key innovators in Hyperautomation Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Wipro Limited, Honeywell International, Inc., Tata Consultancy Services Ltd., Mitsubishi Electric Corporation, Appian Corporation, UiPath, Inc., Automation Anywhere, Inc., OneGlobe, LLC, SolveXia Pty. Ltd., and Allerin Tech Pvt. Ltd.
Recent Strategies deployed in Hyperautomation Market
Partnerships, Collaboration and Partnerships
Nov-2022: UiPath entered into collaboration with Neostella, a hyper-automation firm. Through this collaboration, the customers would get flexible models which permit the enterprises to put automation into use and broaden their automation reach quickly and smoothly.
Sep-2022: UiPath partnered with OutSystems, a leader in high-performance application development. Through this partnership, the companies focused on incorporating the high-performance low-code of OutSystems with the Business Automation Platform of UiPath. The combined effort of the partnership allowed customers to intelligently and securely automate their core business applications and processes, thereby improving efficiency, saving time, and offering favourable app experiences.
Oct-2021: UiPath partnered with Snowflake, a Data Cloud company. Under this partnership, the companies focused on integrating Snowflake’s platform with UiPath Insights, a Robotic Process Automation, offering analytical solutions for reporting, measuring, and alignment of automation operations of an enterprise with strategic business results. The combined result of the partnership offered elastic scaling, computing, and enterprise-grade protected data-sharing abilities that provide users with quicker data processing, and allows them to execute analysis of long-term histories to increase their automation.
Aug-2021: Wipro Limited came into partnership with DataRobot, an AI Cloud company delivering a unified platform. Through this partnership, the company would provide Augmented Intelligence solutions to the customers and ultimately help them to become AI-based businesses. This move would simplify the process of integrating AI-led intelligence into businesses.
Feb-2020: Wipro Limited partnered with Traydstream, a company with having AI-driven platform for trade experts. This partnership would help large enterprises and banks in simplify their businesses by automating trade transaction procedures.
Product Launches and Product Expansions:
May-2022: UiPath introduced Automation Cloud Robots along with more capabilities as part of the UiPath 2022.4 platform. The offering delivers businesses with a comprehensive foundation for automation to obtain accurate and fast results.
Oct-2021: Automation Anywhere, Inc. launched Automation Anywhere for Contact Centers, AI-driven, cloud-native automation solution which helps businesses to provide a better service to customers. This newly launched platform would connect with all contact centre platforms to automate manual processes and attach data to help agents in solving problems.
May-2021: Automation Anywhere, Inc. introduced the cloud-based Epic Fast Healthcare Interoperability Resources (FHIR) API Bot. This launch would allow the integration of the inner and outer ecosystem of Epic Systems to provide preventive health warnings, efficiency, and industry compliance and maximize operational processes for cost. Additionally, this bot would automate access to electronic health records.
May-2021-May UiPath launched UiPath Platform 21.4, the latest edition of the company's platform. Platform 21.4 offers support for automation programs of large-scale and increases the abilities required for scaling while aiding enterprises in automation initiatives' management.
Dec-2020: Appian unveiled an updated version of the Appian Low-code Automation Platform. This launch would make it simple for IT to propel quick and significant business value from a new generation of scalable and powrful company's automation technologies, combined on the sector's leading platform for low-code development. The latest platform introduction offers the automation technologies and the development speed that describes the new world of hyperautomation.
Acquisitions and Mergers:
Dec-2022: Wipro Limited acquired Linecraft.ai, an industrial IoT product startup. Through this acquisition, the company would provide numerous automation solutions along with a digital layer providing analytics and insights to the consumers. Additionally, this move would broaden the digital capabilities of Wipro Limited.
Aug-2022: UiPath took over Re:infer, a Conversational Data Intelligence platform. Through this acquisition, UiPath would integrate Re:infer’s NLP technology with company's AI products and Document Understanding to broaden the ability of the company in the field of AI-powered automation services and brings new automation possibilities for the clients.
Dec-2020: Honeywell acquired Sparta Systems, a Software Development company. This acquisition would help customers to get crucial insights from quality data which can enhance the process of manufacturing without compromising supply chain continuity, patient safety and product quality. Moreover, this acquisition would maintain the leadership of Honeywell in enterprise performance management software, industrial automation and digital transformation solutions.
Jan-2020: Appian acquired Novayre Solutions SL, a developer of the Jidoka RPA platform. Through this acquisition, the company would create a single platform for RPA and low-code development allowing the integration of artificial intelligence, bots and humans.
Scope of the Study
Market Segments covered in the Report:
By Deployment
- Cloud
- On-premise
- Robotic Process Automation (RPA)
- Machine Learning & Natural Language Generation
- Context Aware Computing & Chatbots
- Biometrics
- Computer Vision
- Finance & Accounting
- Information Technology (IT)
- Marketing & Sales
- Operations & Supply Chain
- Others
- Hardware
- Software
- Services
- Large-size Enterprises
- Small- & Medium-size Enterprises (SMEs)
- Telecom & IT
- BFSI
- Manufacturing
- Automotive
- Retail
- Healthcare
- Transportation & Logistics
- Others
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
- Wipro Limited
- Honeywell International, Inc.
- Tata Consultancy Services Ltd.
- Mitsubishi Electric Corporation
- Appian Corporation
- UiPath, Inc.
- Automation Anywhere, Inc.
- OneGlobe, LLC
- SolveXia Pty. Ltd.
- Allerin Tech Pvt. Ltd.
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Table of Contents
405 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global Hyperautomation Market, by Deployment
- 1.4.2 Global Hyperautomation Market, by Technology
- 1.4.3 Global Hyperautomation Market, by Function
- 1.4.4 Global Hyperautomation Market, by Component
- 1.4.5 Global Hyperautomation Market, by Enterprise Size
- 1.4.6 Global Hyperautomation Market, by Vertical
- 1.4.7 Global Hyperautomation Market, by Geography
- 1.5 Methodology for the research
- Chapter 2. Market Overview
- 2.1 Introduction
- 2.1.1 Overview
- 2.1.1.1 Market Composition & Scenario
- 2.2 Key Factors Impacting the Market
- 2.2.1 Market Drivers
- 2.2.2 Market Restraints
- Chapter 3. Competition Analysis - Global
- 3.1 KBV Cardinal Matrix
- 3.2 Recent Industry Wide Strategic Developments
- 3.2.1 Partnerships, Collaborations and Agreements
- 3.2.2 Product Launches and Product Expansions
- 3.2.3 Acquisition and Mergers
- 3.3 Market Share Analysis, 2021
- 3.4 Top Winning Strategies
- 3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
- 3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2019, May – 2022, Nov) Leading Players
- Chapter 4. Global Hyperautomation Market by Deployment
- 4.1 Global Cloud Market by Region
- 4.2 Global On-premise Market by Region
- Chapter 5. Global Hyperautomation Market by Technology
- 5.1 Global Robotic Process Automation (RPA) Market by Region
- 5.2 Global Machine Learning & Natural Language Generation Market by Region
- 5.3 Global Context Aware Computing & Chatbots Market by Region
- 5.4 Global Biometrics Market by Region
- 5.5 Global Computer Vision Market by Region
- Chapter 6. Global Hyperautomation Market by Function
- 6.1 Global Finance & Accounting Market by Region
- 6.2 Global Information Technology (IT) Market by Region
- 6.3 Global Marketing & Sales Market by Region
- 6.4 Global Operations & Supply Chain Market by Region
- 6.5 Global Others Market by Region
- Chapter 7. Global Hyperautomation Market by Component
- 7.1 Global Hardware Market by Region
- 7.2 Global Software Market by Region
- 7.3 Global Services Market by Region
- Chapter 8. Global Hyperautomation Market by Enterprise Size
- 8.1 Global Large-size Enterprises Market by Region
- 8.2 Global Small- & Medium-size Enterprises (SMEs) Market by Region
- Chapter 9. Global Hyperautomation Market by Vertical
- 9.1 Global Telecom & IT Market by Region
- 9.2 Global BFSI Market by Region
- 9.3 Global Manufacturing Market by Region
- 9.4 Global Automotive Market by Region
- 9.5 Global Retail Market by Region
- 9.6 Global Healthcare Market by Region
- 9.7 Global Transportation & Logistics Market by Region
- 9.8 Global Others Market by Region
- Chapter 10. Global Hyperautomation Market by Region
- 10.1 North America Hyperautomation Market
- 10.1.1 North America Hyperautomation Market by Deployment
- 10.1.1.1 North America Cloud Market by Country
- 10.1.1.2 North America On-premise Market by Country
- 10.1.2 North America Hyperautomation Market by Technology
- 10.1.2.1 North America Robotic Process Automation (RPA) Market by Country
- 10.1.2.2 North America Machine Learning & Natural Language Generation Market by Country
- 10.1.2.3 North America Context Aware Computing & Chatbots Market by Country
- 10.1.2.4 North America Biometrics Market by Country
- 10.1.2.5 North America Computer Vision Market by Country
- 10.1.3 North America Hyperautomation Market by Function
- 10.1.3.1 North America Finance & Accounting Market by Country
- 10.1.3.2 North America Information Technology (IT) Market by Country
- 10.1.3.3 North America Marketing & Sales Market by Country
- 10.1.3.4 North America Operations & Supply Chain Market by Country
- 10.1.3.5 North America Others Market by Country
- 10.1.4 North America Hyperautomation Market by Component
- 10.1.4.1 North America Hardware Market by Country
- 10.1.4.2 North America Software Market by Country
- 10.1.4.3 North America Services Market by Country
- 10.1.5 North America Hyperautomation Market by Enterprise Size
- 10.1.5.1 North America Large-size Enterprises Market by Country
- 10.1.5.2 North America Small- & Medium-size Enterprises (SMEs) Market by Country
- 10.1.6 North America Hyperautomation Market by Vertical
- 10.1.6.1 North America Telecom & IT Market by Country
- 10.1.6.2 North America BFSI Market by Country
- 10.1.6.3 North America Manufacturing Market by Country
- 10.1.6.4 North America Automotive Market by Country
- 10.1.6.5 North America Retail Market by Country
- 10.1.6.6 North America Healthcare Market by Country
- 10.1.6.7 North America Transportation & Logistics Market by Country
- 10.1.6.8 North America Others Market by Country
- 10.1.7 North America Hyperautomation Market by Country
- 10.1.7.1 US Hyperautomation Market
- 10.1.7.1.1 US Hyperautomation Market by Deployment
- 10.1.7.1.2 US Hyperautomation Market by Technology
- 10.1.7.1.3 US Hyperautomation Market by Function
- 10.1.7.1.4 US Hyperautomation Market by Component
- 10.1.7.1.5 US Hyperautomation Market by Enterprise Size
- 10.1.7.1.6 US Hyperautomation Market by Vertical
- 10.1.7.2 Canada Hyperautomation Market
- 10.1.7.2.1 Canada Hyperautomation Market by Deployment
- 10.1.7.2.2 Canada Hyperautomation Market by Technology
- 10.1.7.2.3 Canada Hyperautomation Market by Function
- 10.1.7.2.4 Canada Hyperautomation Market by Component
- 10.1.7.2.5 Canada Hyperautomation Market by Enterprise Size
- 10.1.7.2.6 Canada Hyperautomation Market by Vertical
- 10.1.7.3 Mexico Hyperautomation Market
- 10.1.7.3.1 Mexico Hyperautomation Market by Deployment
- 10.1.7.3.2 Mexico Hyperautomation Market by Technology
- 10.1.7.3.3 Mexico Hyperautomation Market by Function
- 10.1.7.3.4 Mexico Hyperautomation Market by Component
- 10.1.7.3.5 Mexico Hyperautomation Market by Enterprise Size
- 10.1.7.3.6 Mexico Hyperautomation Market by Vertical
- 10.1.7.4 Rest of North America Hyperautomation Market
- 10.1.7.4.1 Rest of North America Hyperautomation Market by Deployment
- 10.1.7.4.2 Rest of North America Hyperautomation Market by Technology
- 10.1.7.4.3 Rest of North America Hyperautomation Market by Function
- 10.1.7.4.4 Rest of North America Hyperautomation Market by Component
- 10.1.7.4.5 Rest of North America Hyperautomation Market by Enterprise Size
- 10.1.7.4.6 Rest of North America Hyperautomation Market by Vertical
- 10.2 Europe Hyperautomation Market
- 10.2.1 Europe Hyperautomation Market by Deployment
- 10.2.1.1 Europe Cloud Market by Country
- 10.2.1.2 Europe On-premise Market by Country
- 10.2.2 Europe Hyperautomation Market by Technology
- 10.2.2.1 Europe Robotic Process Automation (RPA) Market by Country
- 10.2.2.2 Europe Machine Learning & Natural Language Generation Market by Country
- 10.2.2.3 Europe Context Aware Computing & Chatbots Market by Country
- 10.2.2.4 Europe Biometrics Market by Country
- 10.2.2.5 Europe Computer Vision Market by Country
- 10.2.3 Europe Hyperautomation Market by Function
- 10.2.3.1 Europe Finance & Accounting Market by Country
- 10.2.3.2 Europe Information Technology (IT) Market by Country
- 10.2.3.3 Europe Marketing & Sales Market by Country
- 10.2.3.4 Europe Operations & Supply Chain Market by Country
- 10.2.3.5 Europe Others Market by Country
- 10.2.4 Europe Hyperautomation Market by Component
- 10.2.4.1 Europe Hardware Market by Country
- 10.2.4.2 Europe Software Market by Country
- 10.2.4.3 Europe Services Market by Country
- 10.2.5 Europe Hyperautomation Market by Enterprise Size
- 10.2.5.1 Europe Large-size Enterprises Market by Country
- 10.2.5.2 Europe Small- & Medium-size Enterprises (SMEs) Market by Country
- 10.2.6 Europe Hyperautomation Market by Vertical
- 10.2.6.1 Europe Telecom & IT Market by Country
- 10.2.6.2 Europe BFSI Market by Country
- 10.2.6.3 Europe Manufacturing Market by Country
- 10.2.6.4 Europe Automotive Market by Country
- 10.2.6.5 Europe Retail Market by Country
- 10.2.6.6 Europe Healthcare Market by Country
- 10.2.6.7 Europe Transportation & Logistics Market by Country
- 10.2.6.8 Europe Others Market by Country
- 10.2.7 Europe Hyperautomation Market by Country
- 10.2.7.1 Germany Hyperautomation Market
- 10.2.7.1.1 Germany Hyperautomation Market by Deployment
- 10.2.7.1.2 Germany Hyperautomation Market by Technology
- 10.2.7.1.3 Germany Hyperautomation Market by Function
- 10.2.7.1.4 Germany Hyperautomation Market by Component
- 10.2.7.1.5 Germany Hyperautomation Market by Enterprise Size
- 10.2.7.1.6 Germany Hyperautomation Market by Vertical
- 10.2.7.2 UK Hyperautomation Market
- 10.2.7.2.1 UK Hyperautomation Market by Deployment
- 10.2.7.2.2 UK Hyperautomation Market by Technology
- 10.2.7.2.3 UK Hyperautomation Market by Function
- 10.2.7.2.4 UK Hyperautomation Market by Component
- 10.2.7.2.5 UK Hyperautomation Market by Enterprise Size
- 10.2.7.2.6 UK Hyperautomation Market by Vertical
- 10.2.7.3 France Hyperautomation Market
- 10.2.7.3.1 France Hyperautomation Market by Deployment
- 10.2.7.3.2 France Hyperautomation Market by Technology
- 10.2.7.3.3 France Hyperautomation Market by Function
- 10.2.7.3.4 France Hyperautomation Market by Component
- 10.2.7.3.5 France Hyperautomation Market by Enterprise Size
- 10.2.7.3.6 France Hyperautomation Market by Vertical
- 10.2.7.4 Russia Hyperautomation Market
- 10.2.7.4.1 Russia Hyperautomation Market by Deployment
- 10.2.7.4.2 Russia Hyperautomation Market by Technology
- 10.2.7.4.3 Russia Hyperautomation Market by Function
- 10.2.7.4.4 Russia Hyperautomation Market by Component
- 10.2.7.4.5 Russia Hyperautomation Market by Enterprise Size
- 10.2.7.4.6 Russia Hyperautomation Market by Vertical
- 10.2.7.5 Spain Hyperautomation Market
- 10.2.7.5.1 Spain Hyperautomation Market by Deployment
- 10.2.7.5.2 Spain Hyperautomation Market by Technology
- 10.2.7.5.3 Spain Hyperautomation Market by Function
- 10.2.7.5.4 Spain Hyperautomation Market by Component
- 10.2.7.5.5 Spain Hyperautomation Market by Enterprise Size
- 10.2.7.5.6 Spain Hyperautomation Market by Vertical
- 10.2.7.6 Italy Hyperautomation Market
- 10.2.7.6.1 Italy Hyperautomation Market by Deployment
- 10.2.7.6.2 Italy Hyperautomation Market by Technology
- 10.2.7.6.3 Italy Hyperautomation Market by Function
- 10.2.7.6.4 Italy Hyperautomation Market by Component
- 10.2.7.6.5 Italy Hyperautomation Market by Enterprise Size
- 10.2.7.6.6 Italy Hyperautomation Market by Vertical
- 10.2.7.7 Rest of Europe Hyperautomation Market
- 10.2.7.7.1 Rest of Europe Hyperautomation Market by Deployment
- 10.2.7.7.2 Rest of Europe Hyperautomation Market by Technology
- 10.2.7.7.3 Rest of Europe Hyperautomation Market by Function
- 10.2.7.7.4 Rest of Europe Hyperautomation Market by Component
- 10.2.7.7.5 Rest of Europe Hyperautomation Market by Enterprise Size
- 10.2.7.7.6 Rest of Europe Hyperautomation Market by Vertical
- 10.3 Asia Pacific Hyperautomation Market
- 10.3.1 Asia Pacific Hyperautomation Market by Deployment
- 10.3.1.1 Asia Pacific Cloud Market by Country
- 10.3.1.2 Asia Pacific On-premise Market by Country
- 10.3.2 Asia Pacific Hyperautomation Market by Technology
- 10.3.2.1 Asia Pacific Robotic Process Automation (RPA) Market by Country
- 10.3.2.2 Asia Pacific Machine Learning & Natural Language Generation Market by Country
- 10.3.2.3 Asia Pacific Context Aware Computing & Chatbots Market by Country
- 10.3.2.4 Asia Pacific Biometrics Market by Country
- 10.3.2.5 Asia Pacific Computer Vision Market by Country
- 10.3.3 Asia Pacific Hyperautomation Market by Function
- 10.3.3.1 Asia Pacific Finance & Accounting Market by Country
- 10.3.3.2 Asia Pacific Information Technology (IT) Market by Country
- 10.3.3.3 Asia Pacific Marketing & Sales Market by Country
- 10.3.3.4 Asia Pacific Operations & Supply Chain Market by Country
- 10.3.3.5 Asia Pacific Others Market by Country
- 10.3.4 Asia Pacific Hyperautomation Market by Component
- 10.3.4.1 Asia Pacific Hardware Market by Country
- 10.3.4.2 Asia Pacific Software Market by Country
- 10.3.4.3 Asia Pacific Services Market by Country
- 10.3.5 Asia Pacific Hyperautomation Market by Enterprise Size
- 10.3.5.1 Asia Pacific Large-size Enterprises Market by Country
- 10.3.5.2 Asia Pacific Small- & Medium-size Enterprises (SMEs) Market by Country
- 10.3.6 Asia Pacific Hyperautomation Market by Vertical
- 10.3.6.1 Asia Pacific Telecom & IT Market by Country
- 10.3.6.2 Asia Pacific BFSI Market by Country
- 10.3.6.3 Asia Pacific Manufacturing Market by Country
- 10.3.6.4 Asia Pacific Automotive Market by Country
- 10.3.6.5 Asia Pacific Retail Market by Country
- 10.3.6.6 Asia Pacific Healthcare Market by Country
- 10.3.6.7 Asia Pacific Transportation & Logistics Market by Country
- 10.3.6.8 Asia Pacific Others Market by Country
- 10.3.7 Asia Pacific Hyperautomation Market by Country
- 10.3.7.1 China Hyperautomation Market
- 10.3.7.1.1 China Hyperautomation Market by Deployment
- 10.3.7.1.2 China Hyperautomation Market by Technology
- 10.3.7.1.3 China Hyperautomation Market by Function
- 10.3.7.1.4 China Hyperautomation Market by Component
- 10.3.7.1.5 China Hyperautomation Market by Enterprise Size
- 10.3.7.1.6 China Hyperautomation Market by Vertical
- 10.3.7.2 Japan Hyperautomation Market
- 10.3.7.2.1 Japan Hyperautomation Market by Deployment
- 10.3.7.2.2 Japan Hyperautomation Market by Technology
- 10.3.7.2.3 Japan Hyperautomation Market by Function
- 10.3.7.2.4 Japan Hyperautomation Market by Component
- 10.3.7.2.5 Japan Hyperautomation Market by Enterprise Size
- 10.3.7.2.6 Japan Hyperautomation Market by Vertical
- 10.3.7.3 India Hyperautomation Market
- 10.3.7.3.1 India Hyperautomation Market by Deployment
- 10.3.7.3.2 India Hyperautomation Market by Technology
- 10.3.7.3.3 India Hyperautomation Market by Function
- 10.3.7.3.4 India Hyperautomation Market by Component
- 10.3.7.3.5 India Hyperautomation Market by Enterprise Size
- 10.3.7.3.6 India Hyperautomation Market by Vertical
- 10.3.7.4 South Korea Hyperautomation Market
- 10.3.7.4.1 South Korea Hyperautomation Market by Deployment
- 10.3.7.4.2 South Korea Hyperautomation Market by Technology
- 10.3.7.4.3 South Korea Hyperautomation Market by Function
- 10.3.7.4.4 South Korea Hyperautomation Market by Component
- 10.3.7.4.5 South Korea Hyperautomation Market by Enterprise Size
- 10.3.7.4.6 South Korea Hyperautomation Market by Vertical
- 10.3.7.5 Singapore Hyperautomation Market
- 10.3.7.5.1 Singapore Hyperautomation Market by Deployment
- 10.3.7.5.2 Singapore Hyperautomation Market by Technology
- 10.3.7.5.3 Singapore Hyperautomation Market by Function
- 10.3.7.5.4 Singapore Hyperautomation Market by Component
- 10.3.7.5.5 Singapore Hyperautomation Market by Enterprise Size
- 10.3.7.5.6 Singapore Hyperautomation Market by Vertical
- 10.3.7.6 Malaysia Hyperautomation Market
- 10.3.7.6.1 Malaysia Hyperautomation Market by Deployment
- 10.3.7.6.2 Malaysia Hyperautomation Market by Technology
- 10.3.7.6.3 Malaysia Hyperautomation Market by Function
- 10.3.7.6.4 Malaysia Hyperautomation Market by Component
- 10.3.7.6.5 Malaysia Hyperautomation Market by Enterprise Size
- 10.3.7.6.6 Malaysia Hyperautomation Market by Vertical
- 10.3.7.7 Rest of Asia Pacific Hyperautomation Market
- 10.3.7.7.1 Rest of Asia Pacific Hyperautomation Market by Deployment
- 10.3.7.7.2 Rest of Asia Pacific Hyperautomation Market by Technology
- 10.3.7.7.3 Rest of Asia Pacific Hyperautomation Market by Function
- 10.3.7.7.4 Rest of Asia Pacific Hyperautomation Market by Component
- 10.3.7.7.5 Rest of Asia Pacific Hyperautomation Market by Enterprise Size
- 10.3.7.7.6 Rest of Asia Pacific Hyperautomation Market by Vertical
- 10.4 LAMEA Hyperautomation Market
- 10.4.1 LAMEA Hyperautomation Market by Deployment
- 10.4.1.1 LAMEA Cloud Market by Country
- 10.4.1.2 LAMEA On-premise Market by Country
- 10.4.2 LAMEA Hyperautomation Market by Technology
- 10.4.2.1 LAMEA Robotic Process Automation (RPA) Market by Country
- 10.4.2.2 LAMEA Machine Learning & Natural Language Generation Market by Country
- 10.4.2.3 LAMEA Context Aware Computing & Chatbots Market by Country
- 10.4.2.4 LAMEA Biometrics Market by Country
- 10.4.2.5 LAMEA Computer Vision Market by Country
- 10.4.3 LAMEA Hyperautomation Market by Function
- 10.4.3.1 LAMEA Finance & Accounting Market by Country
- 10.4.3.2 LAMEA Information Technology (IT) Market by Country
- 10.4.3.3 LAMEA Marketing & Sales Market by Country
- 10.4.3.4 LAMEA Operations & Supply Chain Market by Country
- 10.4.3.5 LAMEA Others Market by Country
- 10.4.4 LAMEA Hyperautomation Market by Component
- 10.4.4.1 LAMEA Hardware Market by Country
- 10.4.4.2 LAMEA Software Market by Country
- 10.4.4.3 LAMEA Services Market by Country
- 10.4.5 LAMEA Hyperautomation Market by Enterprise Size
- 10.4.5.1 LAMEA Large-size Enterprises Market by Country
- 10.4.5.2 LAMEA Small- & Medium-size Enterprises (SMEs) Market by Country
- 10.4.6 LAMEA Hyperautomation Market by Vertical
- 10.4.6.1 LAMEA Telecom & IT Market by Country
- 10.4.6.2 LAMEA BFSI Market by Country
- 10.4.6.3 LAMEA Manufacturing Market by Country
- 10.4.6.4 LAMEA Automotive Market by Country
- 10.4.6.5 LAMEA Retail Market by Country
- 10.4.6.6 LAMEA Healthcare Market by Country
- 10.4.6.7 LAMEA Transportation & Logistics Market by Country
- 10.4.6.8 LAMEA Others Market by Country
- 10.4.7 LAMEA Hyperautomation Market by Country
- 10.4.7.1 Brazil Hyperautomation Market
- 10.4.7.1.1 Brazil Hyperautomation Market by Deployment
- 10.4.7.1.2 Brazil Hyperautomation Market by Technology
- 10.4.7.1.3 Brazil Hyperautomation Market by Function
- 10.4.7.1.4 Brazil Hyperautomation Market by Component
- 10.4.7.1.5 Brazil Hyperautomation Market by Enterprise Size
- 10.4.7.1.6 Brazil Hyperautomation Market by Vertical
- 10.4.7.2 Argentina Hyperautomation Market
- 10.4.7.2.1 Argentina Hyperautomation Market by Deployment
- 10.4.7.2.2 Argentina Hyperautomation Market by Technology
- 10.4.7.2.3 Argentina Hyperautomation Market by Function
- 10.4.7.2.4 Argentina Hyperautomation Market by Component
- 10.4.7.2.5 Argentina Hyperautomation Market by Enterprise Size
- 10.4.7.2.6 Argentina Hyperautomation Market by Vertical
- 10.4.7.3 UAE Hyperautomation Market
- 10.4.7.3.1 UAE Hyperautomation Market by Deployment
- 10.4.7.3.2 UAE Hyperautomation Market by Technology
- 10.4.7.3.3 UAE Hyperautomation Market by Function
- 10.4.7.3.4 UAE Hyperautomation Market by Component
- 10.4.7.3.5 UAE Hyperautomation Market by Enterprise Size
- 10.4.7.3.6 UAE Hyperautomation Market by Vertical
- 10.4.7.4 Saudi Arabia Hyperautomation Market
- 10.4.7.4.1 Saudi Arabia Hyperautomation Market by Deployment
- 10.4.7.4.2 Saudi Arabia Hyperautomation Market by Technology
- 10.4.7.4.3 Saudi Arabia Hyperautomation Market by Function
- 10.4.7.4.4 Saudi Arabia Hyperautomation Market by Component
- 10.4.7.4.5 Saudi Arabia Hyperautomation Market by Enterprise Size
- 10.4.7.4.6 Saudi Arabia Hyperautomation Market by Vertical
- 10.4.7.5 South Africa Hyperautomation Market
- 10.4.7.5.1 South Africa Hyperautomation Market by Deployment
- 10.4.7.5.2 South Africa Hyperautomation Market by Technology
- 10.4.7.5.3 South Africa Hyperautomation Market by Function
- 10.4.7.5.4 South Africa Hyperautomation Market by Component
- 10.4.7.5.5 South Africa Hyperautomation Market by Enterprise Size
- 10.4.7.5.6 South Africa Hyperautomation Market by Vertical
- 10.4.7.6 Nigeria Hyperautomation Market
- 10.4.7.6.1 Nigeria Hyperautomation Market by Deployment
- 10.4.7.6.2 Nigeria Hyperautomation Market by Technology
- 10.4.7.6.3 Nigeria Hyperautomation Market by Function
- 10.4.7.6.4 Nigeria Hyperautomation Market by Component
- 10.4.7.6.5 Nigeria Hyperautomation Market by Enterprise Size
- 10.4.7.6.6 Nigeria Hyperautomation Market by Vertical
- 10.4.7.7 Rest of LAMEA Hyperautomation Market
- 10.4.7.7.1 Rest of LAMEA Hyperautomation Market by Deployment
- 10.4.7.7.2 Rest of LAMEA Hyperautomation Market by Technology
- 10.4.7.7.3 Rest of LAMEA Hyperautomation Market by Function
- 10.4.7.7.4 Rest of LAMEA Hyperautomation Market by Component
- 10.4.7.7.5 Rest of LAMEA Hyperautomation Market by Enterprise Size
- 10.4.7.7.6 Rest of LAMEA Hyperautomation Market by Vertical
- Chapter 11. Company Profiles
- 11.1 Wipro Limited
- 11.1.1 Company Overview
- 11.1.2 Financial Analysis
- 11.1.3 Segmental and Regional Analysis
- 11.1.4 Research & Development Expenses
- 11.1.5 Recent strategies and developments:
- 11.1.5.1 Partnerships, Collaborations, and Agreements:
- 11.1.5.2 Acquisition and Mergers:
- 11.1.6 SWOT Analysis
- 11.2 Honeywell International, Inc.
- 11.2.1 Company Overview
- 11.2.2 Financial Analysis
- 11.2.3 Segmental and Regional Analysis
- 11.2.4 Research & Development Expenses
- 11.2.5 Recent strategies and developments:
- 11.2.5.1 Acquisition and Mergers:
- 11.2.6 SWOT Analysis
- 11.3 Tata Consultancy Services Ltd.
- 11.3.1 Company Overview
- 11.3.2 Financial Analysis
- 11.3.3 Segmental and Regional Analysis
- 11.3.4 Research & Development Expenses
- 11.3.5 Recent Strategies and Developments:
- 11.3.5.1 Product Launches and Product Expansions:
- 11.3.6 SWOT Analysis
- 11.4 Mitsubishi Electric Corporation
- 11.4.1 Company Overview
- 11.4.2 Financial Analysis
- 11.4.3 Segmental and Regional Analysis
- 11.4.4 Research & Development Expense
- 11.4.5 Recent strategies and developments:
- 11.4.5.1 Acquisition and Mergers:
- 11.5 Appian Corporation
- 11.5.1 Company Overview
- 11.5.2 Financial Analysis
- 11.5.3 Regional Analysis
- 11.5.4 Research & Development Expense
- 11.5.5 Recent strategies and developments:
- 11.5.5.1 Product Launches and Product Expansions:
- 11.5.5.2 Acquisition and Mergers:
- 11.6 UiPath, Inc.
- 11.6.1 Company Overview
- 11.6.2 Recent strategies and developments:
- 11.6.2.1 Partnerships, Collaborations, and Agreements:
- 11.6.2.2 Product Launches and Product Expansions:
- 11.6.2.3 Acquisition and Mergers:
- 11.7 Automation Anywhere, Inc.
- 11.7.1 Company Overview
- 11.7.2 Recent strategies and developments:
- 11.7.2.1 Partnerships, Collaborations, and Agreements:
- 11.7.2.2 Product Launches and Product Expansions:
- 11.8 OneGlobe, LLC
- 11.8.1 Company Overview
- 11.9 SolveXia Pty. Ltd.
- 11.9.1 Company Overview
- 11.10. Allerin Tech Pvt. Ltd.
- 11.10.1 Company Overview
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