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.
The global AI-powered Intelligent Process Automation (IPA) market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI-powered Intelligent Process Automation (IPA) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI-powered Intelligent Process Automation (IPA) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI-powered Intelligent Process Automation (IPA) in BFSI is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI-powered Intelligent Process Automation (IPA) include Pwc, TCS, IBM, Accenture, Cognizant, Capgemini, Wipro, EXL, HCL Tech, Genpact, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-powered Intelligent Process Automation (IPA), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-powered Intelligent Process Automation (IPA).
The AI-powered Intelligent Process Automation (IPA) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-powered Intelligent Process Automation (IPA) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-powered Intelligent Process Automation (IPA) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
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
Segment by Type
Digital Process Automation (DPA)
Robotic Process Automation (RPA)
Artificial Intelligence (AI)
Others
Segment by Application
BFSI
Healthcare
Transportation & Logistics
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of AI-powered Intelligent Process Automation (IPA) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-powered Intelligent Process Automation (IPA) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
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 by Application
1.3.1 Global AI-powered Intelligent Process Automation (IPA) Market Growth by Application: 2019 VS 2023 VS 2030
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 Global Growth Trends
2.1 Global AI-powered Intelligent Process Automation (IPA) Market Perspective (2019-2030)
2.2 Global AI-powered Intelligent Process Automation (IPA) Growth Trends by Region
2.2.1 Global AI-powered Intelligent Process Automation (IPA) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-powered Intelligent Process Automation (IPA) Historic Market Size by Region (2019-2024)
2.2.3 AI-powered Intelligent Process Automation (IPA) Forecasted Market Size by Region (2025-2030)
2.3 AI-powered Intelligent Process Automation (IPA) Market Dynamics
2.3.1 AI-powered Intelligent Process Automation (IPA) Industry Trends
2.3.2 AI-powered Intelligent Process Automation (IPA) Market Drivers
2.3.3 AI-powered Intelligent Process Automation (IPA) Market Challenges
2.3.4 AI-powered Intelligent Process Automation (IPA) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-powered Intelligent Process Automation (IPA) Players by Revenue
3.1.1 Global Top AI-powered Intelligent Process Automation (IPA) Players by Revenue (2019-2024)
3.1.2 Global AI-powered Intelligent Process Automation (IPA) Revenue Market Share by Players (2019-2024)
3.2 Global AI-powered Intelligent Process Automation (IPA) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-powered Intelligent Process Automation (IPA) Revenue
3.4 Global AI-powered Intelligent Process Automation (IPA) Market Concentration Ratio
3.4.1 Global AI-powered Intelligent Process Automation (IPA) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-powered Intelligent Process Automation (IPA) Revenue in 2023
3.5 Global Key Players of AI-powered Intelligent Process Automation (IPA) Head office and Area Served
3.6 Global Key Players of AI-powered Intelligent Process Automation (IPA), Product and Application
3.7 Global Key Players of AI-powered Intelligent Process Automation (IPA), Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-powered Intelligent Process Automation (IPA) Breakdown Data by Type
4.1 Global AI-powered Intelligent Process Automation (IPA) Historic Market Size by Type (2019-2024)
4.2 Global AI-powered Intelligent Process Automation (IPA) Forecasted Market Size by Type (2025-2030)
5 AI-powered Intelligent Process Automation (IPA) Breakdown Data by Application
5.1 Global AI-powered Intelligent Process Automation (IPA) Historic Market Size by Application (2019-2024)
5.2 Global AI-powered Intelligent Process Automation (IPA) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-powered Intelligent Process Automation (IPA) Market Size (2019-2030)
6.2 North America AI-powered Intelligent Process Automation (IPA) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-powered Intelligent Process Automation (IPA) Market Size by Country (2019-2024)
6.4 North America AI-powered Intelligent Process Automation (IPA) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-powered Intelligent Process Automation (IPA) Market Size (2019-2030)
7.2 Europe AI-powered Intelligent Process Automation (IPA) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-powered Intelligent Process Automation (IPA) Market Size by Country (2019-2024)
7.4 Europe AI-powered Intelligent Process Automation (IPA) Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Size (2019-2030)
8.2 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-powered Intelligent Process Automation (IPA) Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-powered Intelligent Process Automation (IPA) Market Size (2019-2030)
9.2 Latin America AI-powered Intelligent Process Automation (IPA) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-powered Intelligent Process Automation (IPA) Market Size by Country (2019-2024)
9.4 Latin America AI-powered Intelligent Process Automation (IPA) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-powered Intelligent Process Automation (IPA) Market Size (2019-2030)
10.2 Middle East & Africa AI-powered Intelligent Process Automation (IPA) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-powered Intelligent Process Automation (IPA) Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-powered Intelligent Process Automation (IPA) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Pwc
11.1.1 Pwc Company Details
11.1.2 Pwc Business Overview
11.1.3 Pwc AI-powered Intelligent Process Automation (IPA) Introduction
11.1.4 Pwc Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.1.5 Pwc Recent Development
11.2 TCS
11.2.1 TCS Company Details
11.2.2 TCS Business Overview
11.2.3 TCS AI-powered Intelligent Process Automation (IPA) Introduction
11.2.4 TCS Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.2.5 TCS Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM AI-powered Intelligent Process Automation (IPA) Introduction
11.3.4 IBM Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Accenture
11.4.1 Accenture Company Details
11.4.2 Accenture Business Overview
11.4.3 Accenture AI-powered Intelligent Process Automation (IPA) Introduction
11.4.4 Accenture Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.4.5 Accenture Recent Development
11.5 Cognizant
11.5.1 Cognizant Company Details
11.5.2 Cognizant Business Overview
11.5.3 Cognizant AI-powered Intelligent Process Automation (IPA) Introduction
11.5.4 Cognizant Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.5.5 Cognizant Recent Development
11.6 Capgemini
11.6.1 Capgemini Company Details
11.6.2 Capgemini Business Overview
11.6.3 Capgemini AI-powered Intelligent Process Automation (IPA) Introduction
11.6.4 Capgemini Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.6.5 Capgemini Recent Development
11.7 Wipro
11.7.1 Wipro Company Details
11.7.2 Wipro Business Overview
11.7.3 Wipro AI-powered Intelligent Process Automation (IPA) Introduction
11.7.4 Wipro Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.7.5 Wipro Recent Development
11.8 EXL
11.8.1 EXL Company Details
11.8.2 EXL Business Overview
11.8.3 EXL AI-powered Intelligent Process Automation (IPA) Introduction
11.8.4 EXL Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.8.5 EXL Recent Development
11.9 HCL Tech
11.9.1 HCL Tech Company Details
11.9.2 HCL Tech Business Overview
11.9.3 HCL Tech AI-powered Intelligent Process Automation (IPA) Introduction
11.9.4 HCL Tech Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.9.5 HCL Tech Recent Development
11.10 Genpact
11.10.1 Genpact Company Details
11.10.2 Genpact Business Overview
11.10.3 Genpact AI-powered Intelligent Process Automation (IPA) Introduction
11.10.4 Genpact Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.10.5 Genpact Recent Development
11.11 Softtek
11.11.1 Softtek Company Details
11.11.2 Softtek Business Overview
11.11.3 Softtek AI-powered Intelligent Process Automation (IPA) Introduction
11.11.4 Softtek Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.11.5 Softtek Recent Development
11.12 NTT Data
11.12.1 NTT Data Company Details
11.12.2 NTT Data Business Overview
11.12.3 NTT Data AI-powered Intelligent Process Automation (IPA) Introduction
11.12.4 NTT Data Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.12.5 NTT Data Recent Development
11.13 Tech Mahindra
11.13.1 Tech Mahindra Company Details
11.13.2 Tech Mahindra Business Overview
11.13.3 Tech Mahindra AI-powered Intelligent Process Automation (IPA) Introduction
11.13.4 Tech Mahindra Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.13.5 Tech Mahindra Recent Development
11.14 LTIMindtree
11.14.1 LTIMindtree Company Details
11.14.2 LTIMindtree Business Overview
11.14.3 LTIMindtree AI-powered Intelligent Process Automation (IPA) Introduction
11.14.4 LTIMindtree Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.14.5 LTIMindtree Recent Development
11.15 Sutherland
11.15.1 Sutherland Company Details
11.15.2 Sutherland Business Overview
11.15.3 Sutherland AI-powered Intelligent Process Automation (IPA) Introduction
11.15.4 Sutherland Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.15.5 Sutherland Recent Development
11.16 Roboyo
11.16.1 Roboyo Company Details
11.16.2 Roboyo Business Overview
11.16.3 Roboyo AI-powered Intelligent Process Automation (IPA) Introduction
11.16.4 Roboyo Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.16.5 Roboyo Recent Development
11.17 Persistent Systems
11.17.1 Persistent Systems Company Details
11.17.2 Persistent Systems Business Overview
11.17.3 Persistent Systems AI-powered Intelligent Process Automation (IPA) Introduction
11.17.4 Persistent Systems Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.17.5 Persistent Systems Recent Development
11.18 Mphasis
11.18.1 Mphasis Company Details
11.18.2 Mphasis Business Overview
11.18.3 Mphasis AI-powered Intelligent Process Automation (IPA) Introduction
11.18.4 Mphasis Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.18.5 Mphasis Recent Development
11.19 Sopra Steria
11.19.1 Sopra Steria Company Details
11.19.2 Sopra Steria Business Overview
11.19.3 Sopra Steria AI-powered Intelligent Process Automation (IPA) Introduction
11.19.4 Sopra Steria Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.19.5 Sopra Steria Recent Development
11.20 Datamatics
11.20.1 Datamatics Company Details
11.20.2 Datamatics Business Overview
11.20.3 Datamatics AI-powered Intelligent Process Automation (IPA) Introduction
11.20.4 Datamatics Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.20.5 Datamatics Recent Development
11.21 UST
11.21.1 UST Company Details
11.21.2 UST Business Overview
11.21.3 UST AI-powered Intelligent Process Automation (IPA) Introduction
11.21.4 UST Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.21.5 UST Recent Development
11.22 Accelirate
11.22.1 Accelirate Company Details
11.22.2 Accelirate Business Overview
11.22.3 Accelirate AI-powered Intelligent Process Automation (IPA) Introduction
11.22.4 Accelirate Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.22.5 Accelirate Recent Development
11.23 Firstsource
11.23.1 Firstsource Company Details
11.23.2 Firstsource Business Overview
11.23.3 Firstsource AI-powered Intelligent Process Automation (IPA) Introduction
11.23.4 Firstsource Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.23.5 Firstsource Recent Development
11.24 ABBYY
11.24.1 ABBYY Company Details
11.24.2 ABBYY Business Overview
11.24.3 ABBYY AI-powered Intelligent Process Automation (IPA) Introduction
11.24.4 ABBYY Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.24.5 ABBYY Recent Development
11.25 UiPath
11.25.1 UiPath Company Details
11.25.2 UiPath Business Overview
11.25.3 UiPath AI-powered Intelligent Process Automation (IPA) Introduction
11.25.4 UiPath Revenue in AI-powered Intelligent Process Automation (IPA) Business (2019-2024)
11.25.5 UiPath Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
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
听
听
*If Applicable.
