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Intelligent Process Automation (IPA)-Global Market Insights and Sales Trends 2025
Synopsis
Intelligent Process Automation (IPA) refers to the application of Artificial Intelligence and related new technologies, including Computer Vision, Cognitive automation and Machine Learning to Robotic Process Automation. This convergence of technologies produces automation capabilities that dramatically elevate business value and competitive advantages for our customers. The others segment includes Human Resource Management, Incident Resolution, and Service Orchestration.
The global Intelligent Process Automation (IPA) market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Intelligent Process Automation (IPA) in various end use industries. The expanding demands from the IT Operations, Business Process Automation, Application Management and Content Management, are propelling Intelligent Process Automation (IPA) market. Natural Language Processing, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Machine and Deep Learning segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Intelligent Process Automation (IPA) market, driven by demand from China, the second largest economy with some signs of stabilising, the Intelligent Process Automation (IPA) market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Intelligent Process Automation (IPA), with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Intelligent Process Automation (IPA) market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Intelligent Process Automation (IPA) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Intelligent Process Automation (IPA) sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Intelligent Process Automation (IPA) covered in this report include Atos, Blue Prism, Capgemini, Cognizant, CGI, EXL, Genpact, HCL Technologies and IBM, etc.
The global Intelligent Process Automation (IPA) market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Atos
Blue Prism
Capgemini
Cognizant
CGI
EXL
Genpact
HCL Technologies
IBM
Infosys
KPMG
Pegasystems
Syntel
TCS
Tech Mahindra
Thoughtonomy
UiPath
Wipro
Global Intelligent Process Automation (IPA) market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Intelligent Process Automation (IPA) market, Segment by Type:
Natural Language Processing
Machine and Deep Learning
Neural Networks
Virtual Agents
Mini Bots and RPA
Computer Vision
Others
Global Intelligent Process Automation (IPA) market, by Application
IT Operations
Business Process Automation
Application Management
Content Management
Security
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Intelligent Process Automation (IPA) companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Intelligent Process Automation (IPA) refers to the application of Artificial Intelligence and related new technologies, including Computer Vision, Cognitive automation and Machine Learning to Robotic Process Automation. This convergence of technologies produces automation capabilities that dramatically elevate business value and competitive advantages for our customers. The others segment includes Human Resource Management, Incident Resolution, and Service Orchestration.
The global Intelligent Process Automation (IPA) market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Intelligent Process Automation (IPA) in various end use industries. The expanding demands from the IT Operations, Business Process Automation, Application Management and Content Management, are propelling Intelligent Process Automation (IPA) market. Natural Language Processing, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Machine and Deep Learning segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Intelligent Process Automation (IPA) market, driven by demand from China, the second largest economy with some signs of stabilising, the Intelligent Process Automation (IPA) market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Intelligent Process Automation (IPA), with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Intelligent Process Automation (IPA) market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Intelligent Process Automation (IPA) market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Intelligent Process Automation (IPA) sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Intelligent Process Automation (IPA) covered in this report include Atos, Blue Prism, Capgemini, Cognizant, CGI, EXL, Genpact, HCL Technologies and IBM, etc.
The global Intelligent Process Automation (IPA) market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Atos
Blue Prism
Capgemini
Cognizant
CGI
EXL
Genpact
HCL Technologies
IBM
Infosys
KPMG
Pegasystems
Syntel
TCS
Tech Mahindra
Thoughtonomy
UiPath
Wipro
Global Intelligent Process Automation (IPA) market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Intelligent Process Automation (IPA) market, Segment by Type:
Natural Language Processing
Machine and Deep Learning
Neural Networks
Virtual Agents
Mini Bots and RPA
Computer Vision
Others
Global Intelligent Process Automation (IPA) market, by Application
IT Operations
Business Process Automation
Application Management
Content Management
Security
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Intelligent Process Automation (IPA) companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Intelligent Process Automation (IPA)
1.1 Intelligent Process Automation (IPA) Market Overview
1.1.1 Intelligent Process Automation (IPA) Product Scope
1.1.2 Intelligent Process Automation (IPA) Market Status and Outlook
1.2 Global Intelligent Process Automation (IPA) Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Intelligent Process Automation (IPA) Market Size by Region (2018-2029)
1.4 Global Intelligent Process Automation (IPA) Historic Market Size by Region (2018-2023)
1.5 Global Intelligent Process Automation (IPA) Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Intelligent Process Automation (IPA) Market Size (2018-2029)
1.6.1 North America Intelligent Process Automation (IPA) Market Size (2018-2029)
1.6.2 Europe Intelligent Process Automation (IPA) Market Size (2018-2029)
1.6.3 Asia-Pacific Intelligent Process Automation (IPA) Market Size (2018-2029)
1.6.4 Latin America Intelligent Process Automation (IPA) Market Size (2018-2029)
1.6.5 Middle East & Africa Intelligent Process Automation (IPA) Market Size (2018-2029)
2 Intelligent Process Automation (IPA) Market by Type
2.1 Introduction
2.1.1 Natural Language Processing
2.1.2 Machine and Deep Learning
2.1.3 Neural Networks
2.1.4 Virtual Agents
2.1.5 Mini Bots and RPA
2.1.6 Computer Vision
2.1.7 Others
2.2 Global Intelligent Process Automation (IPA) Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Intelligent Process Automation (IPA) Historic Market Size by Type (2018-2023)
2.2.2 Global Intelligent Process Automation (IPA) Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Intelligent Process Automation (IPA) Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Intelligent Process Automation (IPA) Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Intelligent Process Automation (IPA) Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Intelligent Process Automation (IPA) Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Intelligent Process Automation (IPA) Revenue Breakdown by Type (2018-2029)
3 Intelligent Process Automation (IPA) Market Overview by Application
3.1 Introduction
3.1.1 IT Operations
3.1.2 Business Process Automation
3.1.3 Application Management
3.1.4 Content Management
3.1.5 Security
3.1.6 Others
3.2 Global Intelligent Process Automation (IPA) Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Intelligent Process Automation (IPA) Historic Market Size by Application (2018-2023)
3.2.2 Global Intelligent Process Automation (IPA) Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Intelligent Process Automation (IPA) Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Intelligent Process Automation (IPA) Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Intelligent Process Automation (IPA) Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Intelligent Process Automation (IPA) Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Intelligent Process Automation (IPA) Revenue Breakdown by Application (2018-2029)
4 Intelligent Process Automation (IPA) Competition Analysis by Players
4.1 Global Intelligent Process Automation (IPA) Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Intelligent Process Automation (IPA) as of 2022)
4.3 Date of Key Players Enter into Intelligent Process Automation (IPA) Market
4.4 Global Top Players Intelligent Process Automation (IPA) Headquarters and Area Served
4.5 Key Players Intelligent Process Automation (IPA) Product Solution and Service
4.6 Competitive Status
4.6.1 Intelligent Process Automation (IPA) Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Atos
5.1.1 Atos Profile
5.1.2 Atos Main Business
5.1.3 Atos Intelligent Process Automation (IPA) Products, Services and Solutions
5.1.4 Atos Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.1.5 Atos Recent Developments
5.2 Blue Prism
5.2.1 Blue Prism Profile
5.2.2 Blue Prism Main Business
5.2.3 Blue Prism Intelligent Process Automation (IPA) Products, Services and Solutions
5.2.4 Blue Prism Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.2.5 Blue Prism Recent Developments
5.3 Capgemini
5.3.1 Capgemini Profile
5.3.2 Capgemini Main Business
5.3.3 Capgemini Intelligent Process Automation (IPA) Products, Services and Solutions
5.3.4 Capgemini Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.3.5 Cognizant Recent Developments
5.4 Cognizant
5.4.1 Cognizant Profile
5.4.2 Cognizant Main Business
5.4.3 Cognizant Intelligent Process Automation (IPA) Products, Services and Solutions
5.4.4 Cognizant Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.4.5 Cognizant Recent Developments
5.5 CGI
5.5.1 CGI Profile
5.5.2 CGI Main Business
5.5.3 CGI Intelligent Process Automation (IPA) Products, Services and Solutions
5.5.4 CGI Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.5.5 CGI Recent Developments
5.6 EXL
5.6.1 EXL Profile
5.6.2 EXL Main Business
5.6.3 EXL Intelligent Process Automation (IPA) Products, Services and Solutions
5.6.4 EXL Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.6.5 EXL Recent Developments
5.7 Genpact
5.7.1 Genpact Profile
5.7.2 Genpact Main Business
5.7.3 Genpact Intelligent Process Automation (IPA) Products, Services and Solutions
5.7.4 Genpact Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.7.5 Genpact Recent Developments
5.8 HCL Technologies
5.8.1 HCL Technologies Profile
5.8.2 HCL Technologies Main Business
5.8.3 HCL Technologies Intelligent Process Automation (IPA) Products, Services and Solutions
5.8.4 HCL Technologies Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.8.5 HCL Technologies Recent Developments
5.9 IBM
5.9.1 IBM Profile
5.9.2 IBM Main Business
5.9.3 IBM Intelligent Process Automation (IPA) Products, Services and Solutions
5.9.4 IBM Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.9.5 IBM Recent Developments
5.10 Infosys
5.10.1 Infosys Profile
5.10.2 Infosys Main Business
5.10.3 Infosys Intelligent Process Automation (IPA) Products, Services and Solutions
5.10.4 Infosys Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.10.5 Infosys Recent Developments
5.11 KPMG
5.11.1 KPMG Profile
5.11.2 KPMG Main Business
5.11.3 KPMG Intelligent Process Automation (IPA) Products, Services and Solutions
5.11.4 KPMG Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.11.5 KPMG Recent Developments
5.12 Pegasystems
5.12.1 Pegasystems Profile
5.12.2 Pegasystems Main Business
5.12.3 Pegasystems Intelligent Process Automation (IPA) Products, Services and Solutions
5.12.4 Pegasystems Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.12.5 Pegasystems Recent Developments
5.13 Syntel
5.13.1 Syntel Profile
5.13.2 Syntel Main Business
5.13.3 Syntel Intelligent Process Automation (IPA) Products, Services and Solutions
5.13.4 Syntel Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.13.5 Syntel Recent Developments
5.14 TCS
5.14.1 TCS Profile
5.14.2 TCS Main Business
5.14.3 TCS Intelligent Process Automation (IPA) Products, Services and Solutions
5.14.4 TCS Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.14.5 TCS Recent Developments
5.15 Tech Mahindra
5.15.1 Tech Mahindra Profile
5.15.2 Tech Mahindra Main Business
5.15.3 Tech Mahindra Intelligent Process Automation (IPA) Products, Services and Solutions
5.15.4 Tech Mahindra Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.15.5 Tech Mahindra Recent Developments
5.16 Thoughtonomy
5.16.1 Thoughtonomy Profile
5.16.2 Thoughtonomy Main Business
5.16.3 Thoughtonomy Intelligent Process Automation (IPA) Products, Services and Solutions
5.16.4 Thoughtonomy Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.16.5 Thoughtonomy Recent Developments
5.17 UiPath
5.17.1 UiPath Profile
5.17.2 UiPath Main Business
5.17.3 UiPath Intelligent Process Automation (IPA) Products, Services and Solutions
5.17.4 UiPath Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.17.5 UiPath Recent Developments
5.18 Wipro
5.18.1 Wipro Profile
5.18.2 Wipro Main Business
5.18.3 Wipro Intelligent Process Automation (IPA) Products, Services and Solutions
5.18.4 Wipro Intelligent Process Automation (IPA) Revenue (US$ Million) & (2018-2023)
5.18.5 Wipro Recent Developments
6 North America
6.1 North America Intelligent Process Automation (IPA) Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Intelligent Process Automation (IPA) Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Intelligent Process Automation (IPA) Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Intelligent Process Automation (IPA) Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Intelligent Process Automation (IPA) Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Intelligent Process Automation (IPA) Market Dynamics
11.1 Intelligent Process Automation (IPA) Industry Trends
11.2 Intelligent Process Automation (IPA) Market Drivers
11.3 Intelligent Process Automation (IPA) Market Challenges
11.4 Intelligent Process Automation (IPA) Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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