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Global AI-powered Intelligent Process Automation (IPA) Market Outlook, In‑Depth Analysis & Forecast to 2031
Published Date: October 2025
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Report Code: QYRE-Auto-4P17549
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Global AI powered Intelligent Process Automation IPA Market Research Report 2024
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Global AI-powered Intelligent Process Automation (IPA) Market Outlook, In‑Depth Analysis & Forecast to 2031

Code: QYRE-Auto-4P17549
Report
October 2025
Pages:175
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

AI-powered Intelligent Process Automation (IPA) Market

The global AI-powered Intelligent Process Automation (IPA) market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
AI-powered Intelligent Process Automation (IPA) is an advanced form of automation that integrates artificial intelligence (AI) technologies with traditional robotic process automation (RPA) to streamline and optimize complex business processes. By leveraging AI, machine learning (ML), natural language processing (NLP), and other intelligent technologies, IPA can handle more sophisticated tasks that require cognitive abilities, decision-making, and learning from data.
From a downstream perspective, BFSI accounted for % of 2024 revenue, surging to US$ million by 2031 (CAGR: % from 2025–2031).
AI-powered Intelligent Process Automation (IPA) leading manufacturers including Pwc, TCS, IBM, Accenture, Cognizant, Capgemini, Wipro, EXL, HCL Tech, Genpact, etc., dominate supply; the top five capture approximately % of global revenue, with Pwc leading 2024 sales at US$ million.
Regional Outlook:
North America rose from US$ million in 2024 to a forecast US$ million by 2031 (CAGR %).
Asia‑Pacific will expand from US$ million to US$ million (CAGR  %), led by China (US$ million in 2024, % share rising to % by 2031), Japan (CAGR %), South Korea (CAGR %), and Southeast Asia (CAGR %).
Europe is set to grow from US$ million to US$ million (CAGR %), with Germany projected to hit US$ million by 2031 (CAGR %).

Report Includes:

This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global AI-powered Intelligent Process Automation (IPA) market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation

Scope of AI-powered Intelligent Process Automation (IPA) Market Report

Report Metric Details
Report Name AI-powered Intelligent Process Automation (IPA) Market
Segment by Type
Segment by Application
  • BFSI
  • Healthcare
  • Transportation & Logistics
  • Others
Sales by Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company Pwc, TCS, IBM, Accenture, Cognizant, Capgemini, Wipro, EXL, HCL Tech, Genpact, Softtek, NTT Data, Tech Mahindra, LTIMindtree, Sutherland, Roboyo, Persistent Systems, Mphasis, Sopra Steria, Datamatics, UST, Accelirate, Firstsource, ABBYY, UiPath
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Defines the AI-powered Intelligent Process Automation (IPA) study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
  • Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
  • Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
  • Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
  • Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
  • Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
  • Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
  • Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
  • Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
  • Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
  • Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
  • Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
  • Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
  • Chapter 14: Actionable conclusions and strategic recommendations.
  • Why This Report:
  • Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
  • Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
  • Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
  • Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
  • Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
  • Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

FAQ for this report

Who are the main players in the AI-powered Intelligent Process Automation (IPA) Market report?

Ans: The main players in the AI-powered Intelligent Process Automation (IPA) Market are Pwc, TCS, IBM, Accenture, Cognizant, Capgemini, Wipro, EXL, HCL Tech, Genpact, Softtek, NTT Data, Tech Mahindra, LTIMindtree, Sutherland, Roboyo, Persistent Systems, Mphasis, Sopra Steria, Datamatics, UST, Accelirate, Firstsource, ABBYY, UiPath

What are the Application segmentation covered in the AI-powered Intelligent Process Automation (IPA) Market report?

Ans: The Applications covered in the AI-powered Intelligent Process Automation (IPA) Market report are BFSI, Healthcare, Transportation & Logistics, Others

What are the Type segmentation covered in the AI-powered Intelligent Process Automation (IPA) Market report?

Ans: The Types covered in the AI-powered Intelligent Process Automation (IPA) Market report are Digital Process Automation (DPA), Robotic Process Automation (RPA), Artificial Intelligence (AI), Others

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1 Study Coverage
1.1 Introduction to AI-powered Intelligent Process Automation (IPA): Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global AI-powered Intelligent Process Automation (IPA) Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Digital Process Automation (DPA)
1.2.3 Robotic Process Automation (RPA)
1.2.4 Artificial Intelligence (AI)
1.2.5 Others
1.3 Market Segmentation by Application
1.3.1 Global AI-powered Intelligent Process Automation (IPA) Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 BFSI
1.3.3 Healthcare
1.3.4 Transportation & Logistics
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global AI-powered Intelligent Process Automation (IPA) Revenue Estimates and Forecasts 2020-2031
2.2 Global AI-powered Intelligent Process Automation (IPA) Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global AI-powered Intelligent Process Automation (IPA) Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global AI-powered Intelligent Process Automation (IPA) Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Digital Process Automation (DPA) Market Size by Players
3.3.2 Robotic Process Automation (RPA) Market Size by Players
3.3.3 Artificial Intelligence (AI) Market Size by Players
3.3.4 Others Market Size by Players
3.4 Global AI-powered Intelligent Process Automation (IPA) Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global AI-powered Intelligent Process Automation (IPA) Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global AI-powered Intelligent Process Automation (IPA) Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America AI-powered Intelligent Process Automation (IPA) Market Size by Type (2020-2031)
6.4 North America AI-powered Intelligent Process Automation (IPA) Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America AI-powered Intelligent Process Automation (IPA) Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe AI-powered Intelligent Process Automation (IPA) Market Size by Type (2020-2031)
7.4 Europe AI-powered Intelligent Process Automation (IPA) Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe AI-powered Intelligent Process Automation (IPA) Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Size by Type (2020-2031)
8.4 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America AI-powered Intelligent Process Automation (IPA) Market Size by Type (2020-2031)
9.4 Central and South America AI-powered Intelligent Process Automation (IPA) Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America AI-powered Intelligent Process Automation (IPA) Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa AI-powered Intelligent Process Automation (IPA) Market Size by Type (2020-2031)
10.4 Middle East and Africa AI-powered Intelligent Process Automation (IPA) Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa AI-powered Intelligent Process Automation (IPA) Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 Pwc
11.1.1 Pwc Corporation Information
11.1.2 Pwc Business Overview
11.1.3 Pwc AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.1.4 Pwc AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.1.5 Pwc AI-powered Intelligent Process Automation (IPA) Revenue by Product in 2024
11.1.6 Pwc AI-powered Intelligent Process Automation (IPA) Revenue by Application in 2024
11.1.7 Pwc AI-powered Intelligent Process Automation (IPA) Revenue by Geographic Area in 2024
11.1.8 Pwc AI-powered Intelligent Process Automation (IPA) SWOT Analysis
11.1.9 Pwc Recent Developments
11.2 TCS
11.2.1 TCS Corporation Information
11.2.2 TCS Business Overview
11.2.3 TCS AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.2.4 TCS AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.2.5 TCS AI-powered Intelligent Process Automation (IPA) Revenue by Product in 2024
11.2.6 TCS AI-powered Intelligent Process Automation (IPA) Revenue by Application in 2024
11.2.7 TCS AI-powered Intelligent Process Automation (IPA) Revenue by Geographic Area in 2024
11.2.8 TCS AI-powered Intelligent Process Automation (IPA) SWOT Analysis
11.2.9 TCS Recent Developments
11.3 IBM
11.3.1 IBM Corporation Information
11.3.2 IBM Business Overview
11.3.3 IBM AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.3.4 IBM AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.3.5 IBM AI-powered Intelligent Process Automation (IPA) Revenue by Product in 2024
11.3.6 IBM AI-powered Intelligent Process Automation (IPA) Revenue by Application in 2024
11.3.7 IBM AI-powered Intelligent Process Automation (IPA) Revenue by Geographic Area in 2024
11.3.8 IBM AI-powered Intelligent Process Automation (IPA) SWOT Analysis
11.3.9 IBM Recent Developments
11.4 Accenture
11.4.1 Accenture Corporation Information
11.4.2 Accenture Business Overview
11.4.3 Accenture AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.4.4 Accenture AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.4.5 Accenture AI-powered Intelligent Process Automation (IPA) Revenue by Product in 2024
11.4.6 Accenture AI-powered Intelligent Process Automation (IPA) Revenue by Application in 2024
11.4.7 Accenture AI-powered Intelligent Process Automation (IPA) Revenue by Geographic Area in 2024
11.4.8 Accenture AI-powered Intelligent Process Automation (IPA) SWOT Analysis
11.4.9 Accenture Recent Developments
11.5 Cognizant
11.5.1 Cognizant Corporation Information
11.5.2 Cognizant Business Overview
11.5.3 Cognizant AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.5.4 Cognizant AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.5.5 Cognizant AI-powered Intelligent Process Automation (IPA) Revenue by Product in 2024
11.5.6 Cognizant AI-powered Intelligent Process Automation (IPA) Revenue by Application in 2024
11.5.7 Cognizant AI-powered Intelligent Process Automation (IPA) Revenue by Geographic Area in 2024
11.5.8 Cognizant AI-powered Intelligent Process Automation (IPA) SWOT Analysis
11.5.9 Cognizant Recent Developments
11.6 Capgemini
11.6.1 Capgemini Corporation Information
11.6.2 Capgemini Business Overview
11.6.3 Capgemini AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.6.4 Capgemini AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.6.5 Capgemini Recent Developments
11.7 Wipro
11.7.1 Wipro Corporation Information
11.7.2 Wipro Business Overview
11.7.3 Wipro AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.7.4 Wipro AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.7.5 Wipro Recent Developments
11.8 EXL
11.8.1 EXL Corporation Information
11.8.2 EXL Business Overview
11.8.3 EXL AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.8.4 EXL AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.8.5 EXL Recent Developments
11.9 HCL Tech
11.9.1 HCL Tech Corporation Information
11.9.2 HCL Tech Business Overview
11.9.3 HCL Tech AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.9.4 HCL Tech AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.9.5 HCL Tech Recent Developments
11.10 Genpact
11.10.1 Genpact Corporation Information
11.10.2 Genpact Business Overview
11.10.3 Genpact AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.10.4 Genpact AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
11.11 Softtek
11.11.1 Softtek Corporation Information
11.11.2 Softtek Business Overview
11.11.3 Softtek AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.11.4 Softtek AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.11.5 Softtek Recent Developments
11.12 NTT Data
11.12.1 NTT Data Corporation Information
11.12.2 NTT Data Business Overview
11.12.3 NTT Data AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.12.4 NTT Data AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.12.5 NTT Data Recent Developments
11.13 Tech Mahindra
11.13.1 Tech Mahindra Corporation Information
11.13.2 Tech Mahindra Business Overview
11.13.3 Tech Mahindra AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.13.4 Tech Mahindra AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.13.5 Tech Mahindra Recent Developments
11.14 LTIMindtree
11.14.1 LTIMindtree Corporation Information
11.14.2 LTIMindtree Business Overview
11.14.3 LTIMindtree AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.14.4 LTIMindtree AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.14.5 LTIMindtree Recent Developments
11.15 Sutherland
11.15.1 Sutherland Corporation Information
11.15.2 Sutherland Business Overview
11.15.3 Sutherland AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.15.4 Sutherland AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.15.5 Sutherland Recent Developments
11.16 Roboyo
11.16.1 Roboyo Corporation Information
11.16.2 Roboyo Business Overview
11.16.3 Roboyo AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.16.4 Roboyo AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.16.5 Roboyo Recent Developments
11.17 Persistent Systems
11.17.1 Persistent Systems Corporation Information
11.17.2 Persistent Systems Business Overview
11.17.3 Persistent Systems AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.17.4 Persistent Systems AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.17.5 Persistent Systems Recent Developments
11.18 Mphasis
11.18.1 Mphasis Corporation Information
11.18.2 Mphasis Business Overview
11.18.3 Mphasis AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.18.4 Mphasis AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.18.5 Mphasis Recent Developments
11.19 Sopra Steria
11.19.1 Sopra Steria Corporation Information
11.19.2 Sopra Steria Business Overview
11.19.3 Sopra Steria AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.19.4 Sopra Steria AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.19.5 Sopra Steria Recent Developments
11.20 Datamatics
11.20.1 Datamatics Corporation Information
11.20.2 Datamatics Business Overview
11.20.3 Datamatics AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.20.4 Datamatics AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.20.5 Datamatics Recent Developments
11.21 UST
11.21.1 UST Corporation Information
11.21.2 UST Business Overview
11.21.3 UST AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.21.4 UST AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.21.5 UST Recent Developments
11.22 Accelirate
11.22.1 Accelirate Corporation Information
11.22.2 Accelirate Business Overview
11.22.3 Accelirate AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.22.4 Accelirate AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.22.5 Accelirate Recent Developments
11.23 Firstsource
11.23.1 Firstsource Corporation Information
11.23.2 Firstsource Business Overview
11.23.3 Firstsource AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.23.4 Firstsource AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.23.5 Firstsource Recent Developments
11.24 ABBYY
11.24.1 ABBYY Corporation Information
11.24.2 ABBYY Business Overview
11.24.3 ABBYY AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.24.4 ABBYY AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.24.5 ABBYY Recent Developments
11.25 UiPath
11.25.1 UiPath Corporation Information
11.25.2 UiPath Business Overview
11.25.3 UiPath AI-powered Intelligent Process Automation (IPA) Product Features and Attributes
11.25.4 UiPath AI-powered Intelligent Process Automation (IPA) Revenue and Gross Margin (2020-2025)
11.25.5 UiPath Recent Developments
12 AI-powered Intelligent Process Automation (IPA)Industry Chain Analysis
12.1 AI-powered Intelligent Process Automation (IPA) Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 AI-powered Intelligent Process Automation (IPA) Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global AI-powered Intelligent Process Automation (IPA) Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
List of Tables
 Table 1. Global AI-powered Intelligent Process Automation (IPA) Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Table 2. Global AI-powered Intelligent Process Automation (IPA) Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Table 3. Global AI-powered Intelligent Process Automation (IPA) Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 4. Global AI-powered Intelligent Process Automation (IPA) Revenue by Region (2020-2025) & (US$ Million)
 Table 5. Global AI-powered Intelligent Process Automation (IPA) Revenue by Region (2026-2031) & (US$ Million)
 Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 7. Global AI-powered Intelligent Process Automation (IPA) Revenue by Players (2020-2025) & (US$ Million)
 Table 8. Global AI-powered Intelligent Process Automation (IPA) Revenue Market Share by Players (2020-2025)
 Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
 Table 10. Global AI-powered Intelligent Process Automation (IPA) by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI-powered Intelligent Process Automation (IPA) as of 2024)
 Table 11. Global AI-powered Intelligent Process Automation (IPA) Average Gross Margin (%) by Player (2020 VS 2024)
 Table 12. Global AI-powered Intelligent Process Automation (IPA) Companies Headquarters
 Table 13. Global AI-powered Intelligent Process Automation (IPA) Market Concentration Ratio (CR5 and HHI)
 Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
 Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
 Table 16. Global AI-powered Intelligent Process Automation (IPA) Revenue by Type (2020-2025) & (US$ Million)
 Table 17. Global AI-powered Intelligent Process Automation (IPA) Revenue by Type (2026-2031) & (US$ Million)
 Table 18. Key Product Attributes and Differentiation
 Table 19. Global AI-powered Intelligent Process Automation (IPA) Revenue by Application (2020-2025) & (US$ Million)
 Table 20. Global AI-powered Intelligent Process Automation (IPA) Revenue by Application (2026-2031) & (US$ Million)
 Table 21. AI-powered Intelligent Process Automation (IPA) High-Growth Sectors Demand CAGR (2024-2031)
 Table 22. Top Customers by Region
 Table 23. Top Customers by Application
 Table 24. North America AI-powered Intelligent Process Automation (IPA) Growth Accelerators and Market Barriers
 Table 25. North America AI-powered Intelligent Process Automation (IPA) Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 26. Europe AI-powered Intelligent Process Automation (IPA) Growth Accelerators and Market Barriers
 Table 27. Europe AI-powered Intelligent Process Automation (IPA) Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
 Table 28. Asia-Pacific AI-powered Intelligent Process Automation (IPA) Growth Accelerators and Market Barriers
 Table 29. Asia-Pacific AI-powered Intelligent Process Automation (IPA) Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 30. Central and South America AI-powered Intelligent Process Automation (IPA) Investment Opportunities and Key Challenges
 Table 31. Central and South America AI-powered Intelligent Process Automation (IPA) Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 32. Middle East and Africa AI-powered Intelligent Process Automation (IPA) Investment Opportunities and Key Challenges
 Table 33. Middle East and Africa AI-powered Intelligent Process Automation (IPA) Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 34. Pwc Corporation Information
 Table 35. Pwc Description and Major Businesses
 Table 36. Pwc Product Features and Attributes
 Table 37. Pwc Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 38. Pwc Revenue Proportion by Product in 2024
 Table 39. Pwc Revenue Proportion by Application in 2024
 Table 40. Pwc Revenue Proportion by Geographic Area in 2024
 Table 41. Pwc AI-powered Intelligent Process Automation (IPA) SWOT Analysis
 Table 42. Pwc Recent Developments
 Table 43. TCS Corporation Information
 Table 44. TCS Description and Major Businesses
 Table 45. TCS Product Features and Attributes
 Table 46. TCS Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 47. TCS Revenue Proportion by Product in 2024
 Table 48. TCS Revenue Proportion by Application in 2024
 Table 49. TCS Revenue Proportion by Geographic Area in 2024
 Table 50. TCS AI-powered Intelligent Process Automation (IPA) SWOT Analysis
 Table 51. TCS Recent Developments
 Table 52. IBM Corporation Information
 Table 53. IBM Description and Major Businesses
 Table 54. IBM Product Features and Attributes
 Table 55. IBM Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 56. IBM Revenue Proportion by Product in 2024
 Table 57. IBM Revenue Proportion by Application in 2024
 Table 58. IBM Revenue Proportion by Geographic Area in 2024
 Table 59. IBM AI-powered Intelligent Process Automation (IPA) SWOT Analysis
 Table 60. IBM Recent Developments
 Table 61. Accenture Corporation Information
 Table 62. Accenture Description and Major Businesses
 Table 63. Accenture Product Features and Attributes
 Table 64. Accenture Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 65. Accenture Revenue Proportion by Product in 2024
 Table 66. Accenture Revenue Proportion by Application in 2024
 Table 67. Accenture Revenue Proportion by Geographic Area in 2024
 Table 68. Accenture AI-powered Intelligent Process Automation (IPA) SWOT Analysis
 Table 69. Accenture Recent Developments
 Table 70. Cognizant Corporation Information
 Table 71. Cognizant Description and Major Businesses
 Table 72. Cognizant Product Features and Attributes
 Table 73. Cognizant Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 74. Cognizant Revenue Proportion by Product in 2024
 Table 75. Cognizant Revenue Proportion by Application in 2024
 Table 76. Cognizant Revenue Proportion by Geographic Area in 2024
 Table 77. Cognizant AI-powered Intelligent Process Automation (IPA) SWOT Analysis
 Table 78. Cognizant Recent Developments
 Table 79. Capgemini Corporation Information
 Table 80. Capgemini Description and Major Businesses
 Table 81. Capgemini Product Features and Attributes
 Table 82. Capgemini Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 83. Capgemini Recent Developments
 Table 84. Wipro Corporation Information
 Table 85. Wipro Description and Major Businesses
 Table 86. Wipro Product Features and Attributes
 Table 87. Wipro Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 88. Wipro Recent Developments
 Table 89. EXL Corporation Information
 Table 90. EXL Description and Major Businesses
 Table 91. EXL Product Features and Attributes
 Table 92. EXL Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 93. EXL Recent Developments
 Table 94. HCL Tech Corporation Information
 Table 95. HCL Tech Description and Major Businesses
 Table 96. HCL Tech Product Features and Attributes
 Table 97. HCL Tech Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 98. HCL Tech Recent Developments
 Table 99. Genpact Corporation Information
 Table 100. Genpact Description and Major Businesses
 Table 101. Genpact Product Features and Attributes
 Table 102. Genpact Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 103. Genpact Recent Developments
 Table 104. Softtek Corporation Information
 Table 105. Softtek Description and Major Businesses
 Table 106. Softtek Product Features and Attributes
 Table 107. Softtek Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 108. Softtek Recent Developments
 Table 109. NTT Data Corporation Information
 Table 110. NTT Data Description and Major Businesses
 Table 111. NTT Data Product Features and Attributes
 Table 112. NTT Data Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 113. NTT Data Recent Developments
 Table 114. Tech Mahindra Corporation Information
 Table 115. Tech Mahindra Description and Major Businesses
 Table 116. Tech Mahindra Product Features and Attributes
 Table 117. Tech Mahindra Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 118. Tech Mahindra Recent Developments
 Table 119. LTIMindtree Corporation Information
 Table 120. LTIMindtree Description and Major Businesses
 Table 121. LTIMindtree Product Features and Attributes
 Table 122. LTIMindtree Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 123. LTIMindtree Recent Developments
 Table 124. Sutherland Corporation Information
 Table 125. Sutherland Description and Major Businesses
 Table 126. Sutherland Product Features and Attributes
 Table 127. Sutherland Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 128. Sutherland Recent Developments
 Table 129. Roboyo Corporation Information
 Table 130. Roboyo Description and Major Businesses
 Table 131. Roboyo Product Features and Attributes
 Table 132. Roboyo Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 133. Roboyo Recent Developments
 Table 134. Persistent Systems Corporation Information
 Table 135. Persistent Systems Description and Major Businesses
 Table 136. Persistent Systems Product Features and Attributes
 Table 137. Persistent Systems Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 138. Persistent Systems Recent Developments
 Table 139. Mphasis Corporation Information
 Table 140. Mphasis Description and Major Businesses
 Table 141. Mphasis Product Features and Attributes
 Table 142. Mphasis Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 143. Mphasis Recent Developments
 Table 144. Sopra Steria Corporation Information
 Table 145. Sopra Steria Description and Major Businesses
 Table 146. Sopra Steria Product Features and Attributes
 Table 147. Sopra Steria Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 148. Sopra Steria Recent Developments
 Table 149. Datamatics Corporation Information
 Table 150. Datamatics Description and Major Businesses
 Table 151. Datamatics Product Features and Attributes
 Table 152. Datamatics Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 153. Datamatics Recent Developments
 Table 154. UST Corporation Information
 Table 155. UST Description and Major Businesses
 Table 156. UST Product Features and Attributes
 Table 157. UST Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 158. UST Recent Developments
 Table 159. Accelirate Corporation Information
 Table 160. Accelirate Description and Major Businesses
 Table 161. Accelirate Product Features and Attributes
 Table 162. Accelirate Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 163. Accelirate Recent Developments
 Table 164. Firstsource Corporation Information
 Table 165. Firstsource Description and Major Businesses
 Table 166. Firstsource Product Features and Attributes
 Table 167. Firstsource Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 168. Firstsource Recent Developments
 Table 169. ABBYY Corporation Information
 Table 170. ABBYY Description and Major Businesses
 Table 171. ABBYY Product Features and Attributes
 Table 172. ABBYY Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 173. ABBYY Recent Developments
 Table 174. UiPath Corporation Information
 Table 175. UiPath Description and Major Businesses
 Table 176. UiPath Product Features and Attributes
 Table 177. UiPath Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 178. UiPath Recent Developments
 Table 179. Raw Materials Key Suppliers
 Table 180. Distributors List
 Table 181. Market Trends and Market Evolution
 Table 182. Market Drivers and Opportunities
 Table 183. Market Challenges, Risks, and Restraints
 Table 184. Research Programs/Design for This Report
 Table 185. Key Data Information from Secondary Sources
 Table 186. Key Data Information from Primary Sources


List of Figures
 Figure 1. AI-powered Intelligent Process Automation (IPA) Product Picture
 Figure 2. Global AI-powered Intelligent Process Automation (IPA) Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 3. Digital Process Automation (DPA) Product Picture
 Figure 4. Robotic Process Automation (RPA) Product Picture
 Figure 5. Artificial Intelligence (AI) Product Picture
 Figure 6. Others Product Picture
 Figure 7. Global AI-powered Intelligent Process Automation (IPA) Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 8. BFSI
 Figure 9. Healthcare
 Figure 10. Transportation & Logistics
 Figure 11. Others
 Figure 12. AI-powered Intelligent Process Automation (IPA) Report Years Considered
 Figure 13. Global AI-powered Intelligent Process Automation (IPA) Revenue, (US$ Million), 2020 VS 2024 VS 2031
 Figure 14. Global AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 15. Global AI-powered Intelligent Process Automation (IPA) Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Figure 16. Global AI-powered Intelligent Process Automation (IPA) Revenue Market Share by Region (2020-2031)
 Figure 17. Global AI-powered Intelligent Process Automation (IPA) Revenue Market Share Ranking (2024)
 Figure 18. Tier Distribution by Revenue Contribution (2020 VS 2024)
 Figure 19. Digital Process Automation (DPA) Revenue Market Share by Player in 2024
 Figure 20. Robotic Process Automation (RPA) Revenue Market Share by Player in 2024
 Figure 21. Artificial Intelligence (AI) Revenue Market Share by Player in 2024
 Figure 22. Others Revenue Market Share by Player in 2024
 Figure 23. Global AI-powered Intelligent Process Automation (IPA) Revenue Market Share by Type (2020-2031)
 Figure 24. Global AI-powered Intelligent Process Automation (IPA) Revenue Market Share by Application (2020-2031)
 Figure 25. North America AI-powered Intelligent Process Automation (IPA) Revenue YoY (2020-2031) & (US$ Million)
 Figure 26. North America Top 5 Players AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) in 2024
 Figure 27. North America AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Type (2020 - 2031)
 Figure 28. North America AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Application (2020-2031)
 Figure 29. US AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 30. Canada AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 31. Mexico AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 32. Europe AI-powered Intelligent Process Automation (IPA) Revenue YoY (2020-2031) & (US$ Million)
 Figure 33. Europe Top 5 Players AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) in 2024
 Figure 34. Europe AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Type (2020-2031)
 Figure 35. Europe AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Application (2020-2031)
 Figure 36. Germany AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 37. France AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 38. U.K. AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 39. Italy AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 40. Russia AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 41. Asia-Pacific AI-powered Intelligent Process Automation (IPA) Revenue YoY (2020-2031) & (US$ Million)
 Figure 42. Asia-Pacific Top 8 Players AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) in 2024
 Figure 43. Asia-Pacific AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Type (2020-2031)
 Figure 44. Asia-Pacific AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Application (2020-2031)
 Figure 45. Indonesia AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 46. Japan AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 47. South Korea AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 48. Australia AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 49. India AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 50. Indonesia AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 51. Vietnam AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 52. Malaysia AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 53. Philippines AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 54. Singapore AI-powered Intelligent Process Automation (IPA) Revenue (2020-2031) & (US$ Million)
 Figure 55. Central and South America AI-powered Intelligent Process Automation (IPA) Revenue YoY (2020-2031) & (US$ Million)
 Figure 56. Central and South America Top 5 Players AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) in 2024
 Figure 57. Central and South America AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Type (2020-2031)
 Figure 58. Central and South America AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Application (2020-2031)
 Figure 59. Brazil AI-powered Intelligent Process Automation (IPA) Revenue (2020-2025) & (US$ Million)
 Figure 60. Argentina AI-powered Intelligent Process Automation (IPA) Revenue (2020-2025) & (US$ Million)
 Figure 61. Middle East and Africa AI-powered Intelligent Process Automation (IPA) Revenue YoY (2020-2031) & (US$ Million)
 Figure 62. Middle East and Africa Top 5 Players AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) in 2024
 Figure 63. South America AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Type (2020-2031)
 Figure 64. Middle East and Africa AI-powered Intelligent Process Automation (IPA) Revenue (US$ Million) by Application (2020-2031)
 Figure 65. GCC Countries AI-powered Intelligent Process Automation (IPA) Revenue (2020-2025) & (US$ Million)
 Figure 66. Israel AI-powered Intelligent Process Automation (IPA) Revenue (2020-2025) & (US$ Million)
 Figure 67. Egypt AI-powered Intelligent Process Automation (IPA) Revenue (2020-2025) & (US$ Million)
 Figure 68. South Africa AI-powered Intelligent Process Automation (IPA) Revenue (2020-2025) & (US$ Million)
 Figure 69. AI-powered Intelligent Process Automation (IPA) Industry Chain Mapping
 Figure 70. Channels of Distribution (Direct Vs Distribution)
 Figure 71. Bottom-up and Top-down Approaches for This Report
 Figure 72. Data Triangulation
 Figure 73. Key Executives Interviewed
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