Hyperautomation Market by Component (Software, Services), Technology (Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Intelligent Business Process Management (iBPM)), Deployment Mode (On-Premises, Cloud), End-User Industry (IT & Telecom, BFSI, Healthcare & Life Sciences, Retail, Manufacturing, Energy & Utilities), Application (Process Automation, IT Operations & Management, Customer Support, Compliance & Risk Management) – Global Insights & Forecast (2023 – 2030)

As per Intent Market Research, the Hyperautomation Market was valued at USD 11.93 Billion in 2024-e and will surpass USD 30.15 Billion by 2030; growing at a CAGR of 16.7% during 2025-2030.

The hyperautomation market is experiencing significant growth, driven by the increasing need for organizations to streamline their processes and enhance operational efficiency. Hyperautomation refers to the use of advanced technologies, such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML), to automate complex business operations. The market is rapidly expanding as companies adopt a combination of automation technologies to optimize tasks across various industries. With organizations seeking to reduce human error, improve productivity, and reduce costs, hyperautomation has become a critical component of digital transformation strategies.

Businesses across a wide range of industries are turning to hyperautomation solutions to meet these demands. From automating routine back-office tasks to enabling smarter decision-making through AI and machine learning, hyperautomation offers a powerful way to enhance operational workflows. The adoption of cloud technologies, coupled with the growing interest in AI-driven automation, is driving the market's expansion. As organizations recognize the potential of hyperautomation to improve efficiency, reduce costs, and deliver superior customer experiences, the market is expected to continue its rapid growth in the coming years.

Software Is Largest Component in Hyperautomation Market Due to Increased Demand for Automation Tools

Software is the largest component in the hyperautomation market, driven by the growing need for advanced automation tools that can integrate multiple technologies such as RPA, AI, and machine learning. The software segment includes both RPA platforms and AI-powered solutions, which enable organizations to automate a wide range of business processes, from data entry and document processing to complex decision-making tasks. The adoption of software solutions is particularly high in sectors like IT, finance, and customer support, where automation plays a key role in optimizing routine and repetitive tasks.

The growing preference for scalable and adaptable automation solutions has fueled the dominance of the software component. Hyperautomation software enables organizations to integrate their systems seamlessly, providing real-time insights and improving overall workflow efficiency. As businesses increasingly seek ways to enhance digital transformation efforts, the demand for robust, AI-powered automation software continues to rise, solidifying its position as the largest component in the hyperautomation market.

Robotic Process Automation (RPA) Is Fastest Growing Technology Due to Wide Adoption in Various Industries

Robotic Process Automation (RPA) is the fastest-growing technology in the hyperautomation market, owing to its ability to automate routine, rule-based tasks with minimal human intervention. RPA tools are designed to mimic human actions, such as data entry, transaction processing, and customer interaction, enabling businesses to streamline operations, reduce errors, and improve productivity. The widespread adoption of RPA across industries such as banking, healthcare, retail, and manufacturing is driving its rapid growth.

The key advantage of RPA is its ability to handle repetitive tasks at scale, making it an essential tool for organizations looking to enhance operational efficiency. As more industries adopt digital transformation strategies and automate workflows, RPA is becoming an integral part of their technological infrastructure. Additionally, RPA’s ability to integrate with AI and machine learning technologies is further accelerating its adoption, making it the fastest-growing technology in the hyperautomation market.

Cloud Deployment Mode Is Largest Due to Flexibility and Cost-Effectiveness

Cloud deployment mode is the largest segment in the hyperautomation market, as businesses increasingly prefer cloud-based solutions for their scalability, flexibility, and cost-effectiveness. Cloud-based hyperautomation tools allow organizations to implement automation solutions without the need for significant upfront investment in hardware and infrastructure. This deployment model offers businesses the ability to scale their automation efforts as needed, ensuring they can respond quickly to changing market conditions.

The cloud also enables organizations to access advanced hyperautomation capabilities remotely, making it easier for teams to collaborate and manage workflows from anywhere. As more companies shift to cloud-based operations and embrace the benefits of Software-as-a-Service (SaaS) solutions, the cloud deployment mode will continue to be the dominant choice in the hyperautomation market. The ability to access automation tools on-demand and pay for only what is used is one of the primary drivers behind the cloud's widespread adoption.

BFSI Industry Is Largest End-User Due to Need for Operational Efficiency and Compliance

The Banking, Financial Services, and Insurance (BFSI) sector is the largest end-user of hyperautomation technologies, driven by the need to improve operational efficiency, ensure regulatory compliance, and enhance customer service. In BFSI, automation tools are widely used for process automation in areas such as loan processing, fraud detection, compliance reporting, and customer service management. Hyperautomation helps financial institutions reduce operational costs, improve accuracy, and deliver faster services to customers.

As the BFSI sector faces growing regulatory requirements and increasing competition, hyperautomation provides a valuable solution to address these challenges. By automating complex and time-consuming tasks, BFSI companies can focus on more strategic initiatives while maintaining compliance and improving service delivery. The sector’s heavy reliance on data-driven decision-making and the need for seamless integration of automation tools into existing systems make BFSI the largest end-user industry in the hyperautomation market.

Process Automation Is Largest Application Due to Broad Use Across Industries

Process automation is the largest application segment in the hyperautomation market, as it encompasses the automation of a wide range of business processes across different industries. From data entry and document processing to complex business workflows, process automation helps organizations reduce manual labor, streamline operations, and enhance overall efficiency. This application is particularly popular in industries such as IT, BFSI, and manufacturing, where businesses deal with repetitive and time-consuming tasks that can be easily automated.

The demand for process automation solutions has increased as organizations strive to achieve higher operational efficiency and reduce costs. By automating back-office processes, businesses can free up resources and focus on more value-added activities. As the need for operational excellence grows, process automation continues to be the leading application for hyperautomation technologies, helping organizations achieve their digital transformation goals.

Direct Sales Distribution Channel Is Largest Due to Personalization and Customer Support

Direct sales is the largest distribution channel in the hyperautomation market, as it enables vendors to offer tailored solutions and personalized support to customers. Direct sales allow hyperautomation solution providers to work closely with clients to understand their specific needs and provide customized solutions that fit their business objectives. This direct approach also helps in offering post-sale services, such as training, implementation support, and ongoing maintenance.

The direct sales model ensures that clients receive the necessary guidance throughout the automation journey, from solution selection to deployment and optimization. As organizations seek to adopt hyperautomation technologies, the need for direct engagement with solution providers becomes essential to ensure seamless integration and maximum ROI. This has led to direct sales becoming the dominant distribution channel in the hyperautomation market.

North America Is Largest Region Due to Early Adoption and Technological Advancements

North America is the largest region in the hyperautomation market, driven by early adoption of advanced technologies and a strong focus on digital transformation across industries. The United States, in particular, is home to several technology-driven companies that are leading the way in implementing hyperautomation solutions. In North America, hyperautomation technologies are widely used across various industries, including IT, BFSI, healthcare, and manufacturing, making it the largest regional market for hyperautomation.

The region's well-developed infrastructure, highly skilled workforce, and strong investment in technology innovation have made it a hub for the deployment of hyperautomation tools. Additionally, North America's focus on increasing productivity and reducing operational costs through automation is fueling the demand for hyperautomation solutions. As more organizations in North America continue to invest in automation to gain a competitive edge, the region is expected to maintain its dominance in the global hyperautomation market.

Leading Companies and Competitive Landscape

The hyperautomation market is highly competitive, with several key players offering a range of solutions designed to automate complex business processes. Leading companies in the market include UiPath, Automation Anywhere, Blue Prism, IBM, and Pega Systems. These companies are at the forefront of developing RPA, AI, and machine learning-based automation platforms that enable businesses to automate a wide variety of tasks. Their solutions are widely adopted across industries, with a strong focus on delivering scalable, customizable, and cost-effective automation tools.

As the market continues to grow, new entrants are leveraging innovations in AI and machine learning to create next-generation hyperautomation solutions that integrate seamlessly with existing business systems. The competitive landscape is expected to evolve as companies continue to develop advanced features, such as predictive analytics, natural language processing, and autonomous process automation. With businesses increasingly recognizing the importance of automation in driving digital transformation, the hyperautomation market is set to remain highly dynamic and competitive in the years to come.

 

Recent Developments:

  • In December 2024, UiPath launched a new AI-powered automation tool to improve business process management in the finance sector.
  • In November 2024, Automation Anywhere announced its partnership with a leading healthcare provider to implement RPA for automating patient data processing.
  • In October 2024, IBM expanded its AI and automation offerings with new machine learning models aimed at enhancing supply chain operations.
  • In September 2024, Accenture rolled out a cloud-based hyperautomation platform for small and medium-sized enterprises (SMEs) to streamline operations and enhance productivity.
  • In August 2024, Pega Systems launched a new customer service automation solution using advanced NLP to provide personalized service at scale.

List of Leading Companies:

  • UiPath
  • Automation Anywhere
  • Blue Prism
  • Kofax Inc.
  • Pega Systems
  • IBM Corporation
  • Accenture
  • Cisco Systems
  • ServiceNow
  • Microsoft Corporation
  • WorkFusion
  • SAP SE
  • Oracle Corporation
  • Wipro Limited
  • Capgemini

Report Scope:

Report Features

Description

Market Size (2024-e)

USD 11.93 Billion

Forecasted Value (2030)

USD 30.15 Billion

CAGR (2025 – 2030)

16.7%

Base Year for Estimation

2024-e

Historic Year

2023

Forecast Period

2025 – 2030

Report Coverage

Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments

Segments Covered

Hyperautomation Market by Component (Software, Services), Technology (Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Intelligent Business Process Management (iBPM)), Deployment Mode (On-Premises, Cloud), End-User Industry (IT & Telecom, BFSI, Healthcare & Life Sciences, Retail, Manufacturing, Energy & Utilities), Application (Process Automation, IT Operations & Management, Customer Support, Compliance & Risk Management)

Regional Analysis

North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa)

Major Companies

UiPath, Automation Anywhere, Blue Prism, Kofax Inc., Pega Systems, IBM Corporation, Accenture, Cisco Systems, ServiceNow, Microsoft Corporation, WorkFusion, SAP SE, Oracle Corporation, Wipro Limited, Capgemini

Customization Scope

Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements

1. Introduction

   1.1. Market Definition

   1.2. Scope of the Study

   1.3. Research Assumptions

   1.4. Study Limitations

2. Research Methodology

   2.1. Research Approach

      2.1.1. Top-Down Method

      2.1.2. Bottom-Up Method

      2.1.3. Factor Impact Analysis

  2.2. Insights & Data Collection Process

      2.2.1. Secondary Research

      2.2.2. Primary Research

   2.3. Data Mining Process

      2.3.1. Data Analysis

      2.3.2. Data Validation and Revalidation

      2.3.3. Data Triangulation

3. Executive Summary

   3.1. Major Markets & Segments

   3.2. Highest Growing Regions and Respective Countries

   3.3. Impact of Growth Drivers & Inhibitors

   3.4. Regulatory Overview by Country

4. Hyperautomation Market, by Component (Market Size & Forecast: USD Million, 2023 – 2030)

   4.1. Software

   4.2. Services

5. Hyperautomation Market, by Technology (Market Size & Forecast: USD Million, 2023 – 2030)

   5.1. Robotic Process Automation (RPA)

   5.2. Artificial Intelligence (AI)

   5.3. Machine Learning (ML)

   5.4. Natural Language Processing (NLP)

   5.5. Intelligent Business Process Management (iBPM)

6. Hyperautomation Market, by Deployment Mode (Market Size & Forecast: USD Million, 2023 – 2030)

   6.1. On-Premises

   6.2. Cloud

7. Hyperautomation Market, by End-User Industry (Market Size & Forecast: USD Million, 2023 – 2030)

   7.1. IT & Telecom

   7.2. BFSI (Banking, Financial Services & Insurance)

   7.3. Healthcare & Life Sciences

   7.4. Retail

   7.5. Manufacturing

   7.6. Energy & Utilities

8. Hyperautomation Market, by Application (Market Size & Forecast: USD Million, 2023 – 2030)

   8.1. Process Automation

   8.2. IT Operations & Management

   8.3. Customer Support

   8.4. Compliance & Risk Management

9. Regional Analysis (Market Size & Forecast: USD Million, 2023 – 2030)

   9.1. Regional Overview

   9.2. North America

      9.2.1. Regional Trends & Growth Drivers

      9.2.2. Barriers & Challenges

      9.2.3. Opportunities

      9.2.4. Factor Impact Analysis

      9.2.5. Technology Trends

      9.2.6. North America Hyperautomation Market, by Component

      9.2.7. North America Hyperautomation Market, by Technology

      9.2.8. North America Hyperautomation Market, by Deployment Mode

      9.2.9. North America Hyperautomation Market, by End-User Industry

      9.2.10. North America Hyperautomation Market, by Application

      9.2.11. By Country

         9.2.11.1. US

               9.2.11.1.1. US Hyperautomation Market, by Component

               9.2.11.1.2. US Hyperautomation Market, by Technology

               9.2.11.1.3. US Hyperautomation Market, by Deployment Mode

               9.2.11.1.4. US Hyperautomation Market, by End-User Industry

               9.2.11.1.5. US Hyperautomation Market, by Application

         9.2.11.2. Canada

         9.2.11.3. Mexico

    *Similar segmentation will be provided for each region and country

   9.3. Europe

   9.4. Asia-Pacific

   9.5. Latin America

   9.6. Middle East & Africa

10. Competitive Landscape

   10.1. Overview of the Key Players

   10.2. Competitive Ecosystem

      10.2.1. Level of Fragmentation

      10.2.2. Market Consolidation

      10.2.3. Product Innovation

   10.3. Company Share Analysis

   10.4. Company Benchmarking Matrix

      10.4.1. Strategic Overview

      10.4.2. Product Innovations

   10.5. Start-up Ecosystem

   10.6. Strategic Competitive Insights/ Customer Imperatives

   10.7. ESG Matrix/ Sustainability Matrix

   10.8. Manufacturing Network

      10.8.1. Locations

      10.8.2. Supply Chain and Logistics

      10.8.3. Product Flexibility/Customization

      10.8.4. Digital Transformation and Connectivity

      10.8.5. Environmental and Regulatory Compliance

   10.9. Technology Readiness Level Matrix

   10.10. Technology Maturity Curve

   10.11. Buying Criteria

11. Company Profiles

   11.1. UiPath

      11.1.1. Company Overview

      11.1.2. Company Financials

      11.1.3. Product/Service Portfolio

      11.1.4. Recent Developments

      11.1.5. IMR Analysis

    *Similar information will be provided for other companies 

   11.2. Automation Anywhere

   11.3. Blue Prism

   11.4. Kofax Inc.

   11.5. Pega Systems

   11.6. IBM Corporation

   11.7. Accenture

   11.8. Cisco Systems

   11.9. ServiceNow

   11.10. Microsoft Corporation

   11.11. WorkFusion

   11.12. SAP SE

   11.13. Oracle Corporation

   11.14. Wipro Limited

   11.15. Capgemini

12. Appendix

A comprehensive market research approach was employed to gather and analyze data on the Hyperautomation Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Hyperautomation Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.

Research Approach -

Secondary Research

Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.

Primary Research

Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:

  • Validating findings and assumptions derived from secondary research
  • Gathering qualitative and quantitative data on market trends, drivers, and challenges
  • Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
  • Assessing the supply-side landscape, including technological advancements and recent developments

Market Size Assessment

A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Hyperautomation Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:

  1. Identification of key industry players and relevant revenues through extensive secondary research
  2. Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
  3. Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources

Bottom Up and Top Down -

Data Triangulation

To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.

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