Intelligent Process Automation Market Size & Share Analysis - Growth Trends & Forecast (2024 - 2029)

Intelligent Process Automation Market Report is Segmented by Technology (Robotic Process Automation, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, and Cognitive Automation), Deployment (On-Premise, Cloud Based, and Hybrid), End User Vertical (BFSI, IT and Telecom, Healthcare, Manufacturing, Retail and E-Commerce, Government and Public Sector, Energy and Utilities, Transportation and Logistics, and Hospitality and Travel) and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Intelligent Process Automation Market Size

Intelligent Process Automation Market Summary
Study Period 2019 - 2029
Market Size (2024) USD 14.23 Billion
Market Size (2029) USD 25.19 Billion
CAGR (2024 - 2029) 12.10 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Low

Major Players

Intelligent Process Automation Market Major Players

*Disclaimer: Major Players sorted in no particular order

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Intelligent Process Automation Market Analysis

The Intelligent Process Automation Market size is estimated at USD 14.23 billion in 2024, and is expected to reach USD 25.19 billion by 2029, growing at a CAGR of 12.10% during the forecast period (2024-2029).

  • Companies are increasingly transitioning from traditional RPA to hyper-automation, a trend that melds IPA with AI, ML, and advanced analytics to forge comprehensive automation solutions. The goal of hyper-automation is to not only automate individual tasks but also entire workflows, thereby revolutionizing business operations.
  • With the maturation of IPA solutions, vendors are honing in on delivering customized automation frameworks tailored to specific industries. For example, in the banking and financial services realm, IPA facilitates automation in areas like compliance reporting, fraud detection, and loan processing. In the healthcare sector, IPA streamlines processes such as patient records management and insurance claims handling.
  • Businesses are increasingly adopting no-code and low-code automation platforms, enabling users with limited technical expertise to design and implement automated processes. This trend not only democratizes automation but also accelerates its implementation, broadening the reach of Intelligent Process Automation (IPA) within organizations.
  • Organizations are gravitating towards cloud-based IPA solutions for their scalability, cost-effectiveness, and ease of deployment. In response, vendors are rolling out IPA as a service models, seamlessly integrating them with major cloud ecosystems like Microsoft Azure, AWS, and Google Cloud.
  • AI and ML are becoming integral to IPA solutions, enabling them to make more intricate decisions. There's a significant influx of investments aimed at bolstering AI capabilities within these platforms. Leading vendors are infusing their products with AI-driven analytics. For instance, in June 2024, Nintex unveiled AI-enhanced features on the Nintex Process Platform, drastically cutting down the time needed to document, manage, and automate business processes.
  • A primary hurdle in the IPA market is the integration of these solutions with legacy systems. Furthermore, given that IPA solutions manage sensitive business and customer data, concerns about data security and adherence to privacy regulations are intensifying. Sectors like finance, healthcare, and insurance, which grapple with stringent regulatory mandates, find that automating processes in such landscapes necessitates compliance with a myriad of local and international standards.
  • A significant macroeconomic driver for the market is the worldwide shift towards digital transformation, especially in light of economic uncertainties. Challenges such as inflation, labor shortages, and escalating operational costs are pushing businesses to pursue efficiency through automation. As companies emphasize cost-saving strategies and strive for operational resilience, a surge in investments in IPA is anticipated.

Intelligent Process Automation Market Trends

Banking, Financial Services, and Insurance (BFSI) is expected to Witness Strong Demand

  • As financial fraud becomes increasingly sophisticated, AI-driven Intelligent Process Automation (IPA) solutions are being integrated into fraud detection systems. These solutions analyze transaction patterns in real time, flagging suspicious activities and enabling quicker interventions. For example, insurers are leveraging IPA to not only automate claims processing but also to detect potential fraudulent claims.
  • For instance, Kompliant, a leading provider of intelligent automation, is enhancing the merchant underwriting process. In July 2024, the company announced a partnership with Equifax's Digital Solutions team, aiming to integrate robust Kount solutions for fraud and risk management. This move underscores Kompliant's commitment to delivering a premier customer experience while mitigating compliance risks.
  • This partnership grants Kompliant access to Kount's Payment Fraud solutions, which harness advanced Artificial Intelligence. These solutions utilize both supervised and unsupervised machine learning to scrutinize data from online purchases or transactions. By augmenting their already robust workflow automation tools with Equifax's AI-driven Kount Payment Fraud solutions, Kompliant is equipping financial institutions with a holistic solution. This not only fortifies defenses against fraud but also streamlines risk management, boosts operational efficiency, and champions data-driven decision-making.
  • According to a survey conducted by Accenture, 30% of the global respondents which included high level executives from banks across the globe indicated that 30% of the banks invested in AI and automation to innovate their commercial payments. 40% of the banks in North America and 36% of the banks from Asia Pacific region invested relatively higher in AI and automation compared to Europe and Latin America.
  • In the BFSI sector, intelligent process automation (IPA) is gaining traction for automating loan approvals and credit assessments. Leveraging AI models, banks can swiftly analyze credit histories, evaluate risk factors, and discern market trends, leading to quicker and more precise lending decisions that boost efficiency and profitability. Furthermore, banks are embracing hyperautomation solutions, streamlining entire workflows - from customer onboarding and document verification to portfolio management and financial forecasting.
Intelligent Process Automation Market: Main Technology Invested In by Banks Worldwide to Help Innovate Their Commercial Payments, In Percentage (%), 2023

North America Holds One of the Largest Share

  • Companies in North America have swiftly embraced digital transformation strategies, leading to the rapid adoption of intelligent process automation (IPA) solutions. Key sectors, including financial institutions, healthcare providers, and large enterprises, are channelling significant investments into automating both repetitive and intricate processes. Their goal is clear: to boost efficiency, cut costs, and elevate the customer experience.
  • North America boasts some of the industry's titans in IPA, such as IBM, Microsoft, and UiPath. These frontrunners are not just participants but pioneers, spearheading the development and deployment of cutting-edge IPA technologies. Their dominant presence not only fuels regional innovation but also cultivates a competitive landscape, ensuring IPA solutions are in a state of constant evolution.
  • The region has been a hotbed for strategic partnerships and acquisitions, all aimed at amplifying IPA capabilities. A notable example is ServiceNow's December 2023 agreement to acquire UltimateSuite, a task mining firm. This move is set to bolster process mining and intelligent automation on the Now Platform. With this acquisition, ServiceNow is not just expanding its portfolio but is also reinforcing its commitment to automation and artificial intelligence (AI), empowering clients to pinpoint process bottlenecks and enhance operational efficiencies.
  • Similarly, in April 2024, ProcessMaker, a globally recognised leader in business process automation and intelligent document processing, acquired Workfellow, a pioneer in Process Intelligence. This acquisition propels ProcessMaker further in its mission to enhance its suite of solutions, seamlessly integrating task and process mining technologies. These technologies empower businesses to identify inefficiencies and seize new improvement opportunities. Such strategic moves are forging integrated ecosystems that offer holistic automation solutions.
  • There's a pronounced shift towards cloud-based offerings, allowing businesses to scale automation while curtailing infrastructure costs. Moreover, companies in the region are increasingly adopting hyper-automation, a blend of IPA, AI, machine learning, and data analytics, to automate entire business processes.
Intelligent Process Intelligent Process Automation:  Market CAGR (%), By Region, GlobalAutomation Market: undefined

Intelligent Process Automation Industry Overview

The intelligent process automation market is fragmented with rapid technological advancemtns and growing adoption driving intense rivalry. Major players like UiPath, Automation Anywhere, IBM, Microsoft and many more dominate this market, but competition is also fueled by a mix of established giants and specialized startups. Vendors compete on innovation, scalability, integration capabilities, and industry-specific solutions. Increasing digital transformation initiatives across industries intensify the market's competitiveness, leading to aggressive pricing strategies, partnerships and acquisitions.

  • In April 2024, Hyland unveiled Hx Automate, a pioneering service on its next-gen, cloud-native platform, Hyland Experience (Hx). Hx Automate propels Hyland's clientele into advanced intelligent content automation, revolutionizing their use of AI in content and process management. By optimizing workflows and ensuring comprehensive automation, Hx Automate empowers organizations with contemporary solutions to tackle their most urgent business challenges.
  • In February 2024, ImageSource, a leader in process innovation, unveiled ILINX AI, the newest feature of the ILINX enterprise platform. This cutting-edge tool empowers organizations to harness intelligent process automation for their content and data-centric operations. Leveraging content comprehension, predictive analytics, and generative AI, ILINX AI enhances communications and revolutionizes transaction-intensive processes. As a result, organizations can reap significant rewards in analytics, efficiency, productivity, and improved customer experiences.

Intelligent Process Automation Market Leaders

  1. Automation Anywhere, Inc.

  2. Pegasystems Inc.

  3. Microsoft Corporation

  4. IBM Corporation

  5. UiPath Inc.

*Disclaimer: Major Players sorted in no particular order

Intelligent Process Automation Market Concentration
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Intelligent Process Automation Market News

  • June 2024: Nintex, a frontrunner in process intelligence and automation, unveiled AI-driven enhancements to the Nintex Process Platform. These advancements notably shorten the time needed to document, oversee, and automate business processes. These latest features bolster the expanding suite of AI functionalities on the Nintex Process Platform.
  • May 2024: COPA-DATA, known for its industrial automation software zenon, has unveiled zenon 14. With its advanced features and upgrades to existing functionalities, zenon 14 is set to transform project planning, connectivity, user experience, and sustainable efficiency in diverse sectors, such as life sciences, energy, and food and beverage.

Intelligent Process Automation Market Report - Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET INSIGHTS

    1. 4.1 Market Overview

    2. 4.2 Industry Attractiveness - Porter's Five Forces Analysis

      1. 4.2.1 Bargaining Power of Suppliers

      2. 4.2.2 Bargaining Power of Consumers

      3. 4.2.3 Threat of New Entrants

      4. 4.2.4 Threat of Substitutes

      5. 4.2.5 Intensity of Competitive Rivalry

    3. 4.3 Impact of COVID-19 Aftereffects and Other Macroeconomic Factors on the Market

  5. 5. MARKET DYNAMICS

    1. 5.1 Market Drivers

      1. 5.1.1 Demand for Operational Efficiency and Cost Reduction

      2. 5.1.2 Advancements in AI and Machine Learning

    2. 5.2 Market Restraints

      1. 5.2.1 Complexity in Implementation

  6. 6. MARKET SEGMENTATION

    1. 6.1 By Technology

      1. 6.1.1 Robotic Process Automation

      2. 6.1.2 Artificial Intelligence

      3. 6.1.3 Machine Learning

      4. 6.1.4 Natural Language Processing

      5. 6.1.5 Computer Vision

      6. 6.1.6 Cognitive Automation

    2. 6.2 By Deployment

      1. 6.2.1 On-premise

      2. 6.2.2 Cloud-based

      3. 6.2.3 Hybrid

    3. 6.3 By End User Vertical

      1. 6.3.1 BFSI

      2. 6.3.2 IT and Telecom

      3. 6.3.3 Healthcare

      4. 6.3.4 Manufacturing

      5. 6.3.5 Retail and Ecommerce

      6. 6.3.6 Government and Public Sector

      7. 6.3.7 Energy and Utilities

      8. 6.3.8 Transportation and Logistics

      9. 6.3.9 Hospitality and Travel

    4. 6.4 By Geography***

      1. 6.4.1 North America

      2. 6.4.2 Europe

      3. 6.4.3 Asia

      4. 6.4.4 Australia and New Zealand

      5. 6.4.5 Latin America

      6. 6.4.6 Middle East and Africa

  7. 7. COMPETITIVE LANDSCAPE

    1. 7.1 Company Profiles

      1. 7.1.1 UiPath Inc.

      2. 7.1.2 Automation Anywhere, Inc.

      3. 7.1.3 Blue Prism Group plc (SS&C Technologies)

      4. 7.1.4 Pegasystems Inc.

      5. 7.1.5 IBM Corporation

      6. 7.1.6 Microsoft Corporation

      7. 7.1.7 SAP SE

      8. 7.1.8 Appian Coporation

      9. 7.1.9 Tungsten Automation

      10. 7.1.10 WorkFusion Inc.

      11. 7.1.11 Nice Systems

      12. 7.1.12 Cognizant Technology Solutions Corporation

      13. 7.1.13 Tata Consultancy Services Limited

      14. 7.1.14 Accenture PLC

      15. 7.1.15 Capgemini SE

      16. 7.1.16 Wipro Limited

      17. 7.1.17 Infosys Limited

      18. 7.1.18 HCL Technologies Limited

      19. 7.1.19 Open Text Corporation

      20. 7.1.20 Hyland Software, Inc.

    2. *List Not Exhaustive
  8. 8. INVESTMENT ANALYSIS

  9. 9. FUTURE OF THE MARKET

**Subject to Availability
***In the final report, Asia, Australia and New Zealand will be studied together as 'Asia Pacific'
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Intelligent Process Automation Industry Segmentation

Intelligent Process Automation is a technology framework that combines artificial intelligence, machine learning, robotic process automation and cognitive tools to automate complex business processes. Unlike traditional automation, IPA enhances decision-making, adapts to changing conditions and continuously improves processes by learning from data. It automates tasks ranging from routine data entry to more complex decision-making and customer interactions. IPA enables businesses to improve efficiency, reduce operational costs, and enhance accuracy while freeing up human workers for more strategic tasks.

The study tracks the revenue generated from the sale of intelligent process automation products and services by various companies worldwide. It also tracks the key market parameters, underlying growth influencers, and major manufacturers operating in the industry, which supports the market estimations and growth rates over the forecast period. The study further analyses the overall impact of macroeconomic factors on the market. The report’s scope encompasses market sizing and forecasts for the various market segments.

The intelligent process automation market is segmented by technology (robotic process automation, artificial intelligence, machine learning, natural language processing, computer vision, and cognitive automation), by deployment (on premise, cloud based, and hybrid), by end user vertical (BFSI, IT and telecom, healthcare, manufacturing, retail and e-commerce, government and public sector, energy and utilities, transportation and logistics, hospitality and travel) and by geography (North america, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Technology
Robotic Process Automation
Artificial Intelligence
Machine Learning
Natural Language Processing
Computer Vision
Cognitive Automation
By Deployment
On-premise
Cloud-based
Hybrid
By End User Vertical
BFSI
IT and Telecom
Healthcare
Manufacturing
Retail and Ecommerce
Government and Public Sector
Energy and Utilities
Transportation and Logistics
Hospitality and Travel
By Geography***
North America
Europe
Asia
Australia and New Zealand
Latin America
Middle East and Africa
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Intelligent Process Automation Market Research FAQs

The Intelligent Process Automation Market size is expected to reach USD 14.23 billion in 2024 and grow at a CAGR of 12.10% to reach USD 25.19 billion by 2029.

In 2024, the Intelligent Process Automation Market size is expected to reach USD 14.23 billion.

Automation Anywhere, Inc., Pegasystems Inc., Microsoft Corporation, IBM Corporation and UiPath Inc. are the major companies operating in the Intelligent Process Automation Market.

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).

In 2024, the North America accounts for the largest market share in Intelligent Process Automation Market.

In 2023, the Intelligent Process Automation Market size was estimated at USD 12.51 billion. The report covers the Intelligent Process Automation Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Intelligent Process Automation Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.

Intelligent Process Automation Industry Report

Statistics for the 2024 Intelligent Process Automation market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Intelligent Process Automation analysis includes a market forecast outlook for 2024 to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.

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Intelligent Process Automation Market Size & Share Analysis - Growth Trends & Forecast (2024 - 2029)