Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Intelligent Process Automation(IPA) Market by Type (Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA, Computer Vision, Others), By Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Intelligent Process Automation(IPA) Market by Type (Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA, Computer Vision, Others), By Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 298113 4200 Service & Software 377 139 Pages 4.9 (44)
                                          

Market Overview:


The global intelligent process automation (IPA) market is expected to grow from USD 2.02 Billion in 2018 to USD 7.83 Billion by 2030, at a CAGR of 19.5% during the forecast period. The growth of the IPA market is attributed to the increasing demand for business process automation and IT operations management across organizations worldwide. Additionally, the growing trend of digital transformation is also fueling the growth of the IPA market.


Global Intelligent Process Automation(IPA) Industry Outlook


Product Definition:


Intelligent process automation (IPA) is the application of artificial intelligence (AI), machine learning, and natural language processing technologies to business processes in order to improve their efficiency and effectiveness. IPA can help organizations automate tasks that are repetitive or difficult to execute manually, such as data entry, customer service, and claims management. By automating these processes, IPA can help businesses reduce costs and improve performance.


Natural Language Processing:


Natural language processing (NLP) is the study of computer programs that can recognize patterns in human language. The technology helps in understanding the content from a given set of data by analyzing natural languages. It has applications across several industry verticals such as BFSI, healthcare & life sciences, education, government & defense among others. NLP is used for various purposes such as information extraction (IE), information retrieval (IR), intelligent chatbots & customer service automation(CSA).


Machine and Deep Learning:


The machine learning and deep learning technologies have been witnessing significant adoption in the automation industry. The growing usage of these technologies has encouraged several companies to venture into the field of artificial intelligence, thereby driving market growth. However, there is still a lot of confusion surrounding these two technologies owing to their similar names and similar functions.


Application Insights:


The Intelligent Process Automation market is segmented by application into IT Operations, Business Process Automation, Application Management, Content Management, Security and others. The IT Operations segment dominated the global market in 2017 and is expected to continue its dominance over the forecast period. This can be attributed to increasing demand for automation in order to reduce costs and increase efficiency of an organization. Moreover, this technology helps organizations achieve their business goals more effectively by reducing time consumption while developing applications or conducting other routine tasks related to computers.


IPA solutions help enterprises modernize their operations with a focus on digitization of processes that include everything from sales & marketing activities through financial & accounting applications as well as human resources functions across multiple industries worldwide including BFSI (Banking, Financial Services And Insurance), retail and manufacturing among others enabling companies with real-time visibility into all activities taking place within an organization thus driving up adoption across various industry verticals globally which will further fuel growth over the forecast period.


Regional Analysis:


North America is expected to be the key regional market over the forecast period owing to early adoption of intelligent process automation solutions. The region accounted for more than 35% revenue share in 2016 and is estimated to reach nearly USD X million by 2030. North America has been witnessing a growing demand for business process outsourcing (BPO) services from various end users such as corporations, government agencies, and telecommunication companies due to increasing volumes of transactions and data processing requirements at each level within an organization.


Growth Factors:


  • Increased demand for IPA solutions from small and medium-sized businesses (SMBs) due to the benefits of automation, including improved efficiency, reduced costs and increased competitiveness.
  • The continued growth of digital transformation initiatives across all industries, which is driving the need for more efficient and automated business processes.
  • The increasing popularity of Robotic Process Automation (RPA), which is helping to mainstream IPA solutions and increase their adoption rates among organizations of all sizes.
  • The emergence of new technologies such as artificial intelligence (AI) and machine learning that are enabling IPA vendors to offer more sophisticated automation capabilities than ever before.
  • Growing awareness among business leaders about the benefits of IPA solutions, resulting in an increasing number of organizations investing in these technologies to improve their operations."

Scope Of The Report

Report Attributes

Report Details

Report Title

Intelligent Process Automation(IPA) Market Research Report

By Type

Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA, Computer Vision, Others

By Application

IT Operations, Business Process Automation, Application Management, Content Management, Security, Others

By Companies

Atos, Blue Prism, Capgemini, Cognizant, CGI, EXL, Genpact, HCL Technologies, IBM, Infosys, KPMG, Pegasystems, Syntel, TCS, Tech Mahindra, Thoughtonomy, UiPath, Wipro

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

139

Number of Tables & Figures

98

Customization Available

Yes, the report can be customized as per your need.


Global Intelligent Process Automation(IPA) Market Report Segments:

The global Intelligent Process Automation(IPA) market is segmented on the basis of:

Types

Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA, Computer Vision, Others

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

IT Operations, Business Process Automation, Application Management, Content Management, Security, Others

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Atos
  2. Blue Prism
  3. Capgemini
  4. Cognizant
  5. CGI
  6. EXL
  7. Genpact
  8. HCL Technologies
  9. IBM
  10. Infosys
  11. KPMG
  12. Pegasystems
  13. Syntel
  14. TCS
  15. Tech Mahindra
  16. Thoughtonomy
  17. UiPath
  18. Wipro

Global Intelligent Process Automation(IPA) Market Overview


Highlights of The Intelligent Process Automation(IPA) Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Natural Language Processing
    2. Machine and Deep Learning
    3. Neural Networks
    4. Virtual Agents
    5. Mini Bots and RPA
    6. Computer Vision
    7. Others
  1. By Application:

    1. IT Operations
    2. Business Process Automation
    3. Application Management
    4. Content Management
    5. Security
    6. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Intelligent Process Automation(IPA) Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global Intelligent Process Automation(IPA) Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Intelligent Process Automation (IPA) is a process automation technology that helps organizations to automate their business processes. IPA can help reduce the time and effort required to carry out common tasks, such as customer service, accounting, and shipping.

Some of the key players operating in the intelligent process automation(ipa) market are Atos, Blue Prism, Capgemini, Cognizant, CGI, EXL, Genpact, HCL Technologies, IBM, Infosys, KPMG, Pegasystems, Syntel, TCS, Tech Mahindra, Thoughtonomy, UiPath, Wipro.

The intelligent process automation(ipa) market is expected to register a CAGR of 19.5%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Process Automation(IPA) Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Intelligent Process Automation(IPA) Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Intelligent Process Automation(IPA) Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Intelligent Process Automation(IPA) Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Intelligent Process Automation(IPA) Market Size & Forecast, 2018-2028       4.5.1 Intelligent Process Automation(IPA) Market Size and Y-o-Y Growth       4.5.2 Intelligent Process Automation(IPA) Market Absolute $ Opportunity

Chapter 5 Global Intelligent Process Automation(IPA) Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Intelligent Process Automation(IPA) Market Size Forecast by Type
      5.2.1 Natural Language Processing
      5.2.2 Machine and Deep Learning
      5.2.3 Neural Networks
      5.2.4 Virtual Agents
      5.2.5 Mini Bots and RPA
      5.2.6 Computer Vision
      5.2.7 Others
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Intelligent Process Automation(IPA) Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Intelligent Process Automation(IPA) Market Size Forecast by Applications
      6.2.1 IT Operations
      6.2.2 Business Process Automation
      6.2.3 Application Management
      6.2.4 Content Management
      6.2.5 Security
      6.2.6 Others
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Intelligent Process Automation(IPA) Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Intelligent Process Automation(IPA) Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Intelligent Process Automation(IPA) Analysis and Forecast
   9.1 Introduction
   9.2 North America Intelligent Process Automation(IPA) Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Intelligent Process Automation(IPA) Market Size Forecast by Type
      9.6.1 Natural Language Processing
      9.6.2 Machine and Deep Learning
      9.6.3 Neural Networks
      9.6.4 Virtual Agents
      9.6.5 Mini Bots and RPA
      9.6.6 Computer Vision
      9.6.7 Others
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Intelligent Process Automation(IPA) Market Size Forecast by Applications
      9.10.1 IT Operations
      9.10.2 Business Process Automation
      9.10.3 Application Management
      9.10.4 Content Management
      9.10.5 Security
      9.10.6 Others
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Intelligent Process Automation(IPA) Analysis and Forecast
   10.1 Introduction
   10.2 Europe Intelligent Process Automation(IPA) Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Intelligent Process Automation(IPA) Market Size Forecast by Type
      10.6.1 Natural Language Processing
      10.6.2 Machine and Deep Learning
      10.6.3 Neural Networks
      10.6.4 Virtual Agents
      10.6.5 Mini Bots and RPA
      10.6.6 Computer Vision
      10.6.7 Others
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Intelligent Process Automation(IPA) Market Size Forecast by Applications
      10.10.1 IT Operations
      10.10.2 Business Process Automation
      10.10.3 Application Management
      10.10.4 Content Management
      10.10.5 Security
      10.10.6 Others
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Intelligent Process Automation(IPA) Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Intelligent Process Automation(IPA) Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Intelligent Process Automation(IPA) Market Size Forecast by Type
      11.6.1 Natural Language Processing
      11.6.2 Machine and Deep Learning
      11.6.3 Neural Networks
      11.6.4 Virtual Agents
      11.6.5 Mini Bots and RPA
      11.6.6 Computer Vision
      11.6.7 Others
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Intelligent Process Automation(IPA) Market Size Forecast by Applications
      11.10.1 IT Operations
      11.10.2 Business Process Automation
      11.10.3 Application Management
      11.10.4 Content Management
      11.10.5 Security
      11.10.6 Others
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Intelligent Process Automation(IPA) Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Intelligent Process Automation(IPA) Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Intelligent Process Automation(IPA) Market Size Forecast by Type
      12.6.1 Natural Language Processing
      12.6.2 Machine and Deep Learning
      12.6.3 Neural Networks
      12.6.4 Virtual Agents
      12.6.5 Mini Bots and RPA
      12.6.6 Computer Vision
      12.6.7 Others
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Intelligent Process Automation(IPA) Market Size Forecast by Applications
      12.10.1 IT Operations
      12.10.2 Business Process Automation
      12.10.3 Application Management
      12.10.4 Content Management
      12.10.5 Security
      12.10.6 Others
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Intelligent Process Automation(IPA) Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Intelligent Process Automation(IPA) Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Intelligent Process Automation(IPA) Market Size Forecast by Type
      13.6.1 Natural Language Processing
      13.6.2 Machine and Deep Learning
      13.6.3 Neural Networks
      13.6.4 Virtual Agents
      13.6.5 Mini Bots and RPA
      13.6.6 Computer Vision
      13.6.7 Others
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Intelligent Process Automation(IPA) Market Size Forecast by Applications
      13.10.1 IT Operations
      13.10.2 Business Process Automation
      13.10.3 Application Management
      13.10.4 Content Management
      13.10.5 Security
      13.10.6 Others
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Intelligent Process Automation(IPA) Market: Competitive Dashboard
   14.2 Global Intelligent Process Automation(IPA) Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details â€“ Overview, Financials, Developments, Strategy) 
      14.3.1 Atos
      14.3.2 Blue Prism
      14.3.3 Capgemini
      14.3.4 Cognizant
      14.3.5 CGI
      14.3.6 EXL
      14.3.7 Genpact
      14.3.8 HCL Technologies
      14.3.9 IBM
      14.3.10 Infosys
      14.3.11 KPMG
      14.3.12 Pegasystems
      14.3.13 Syntel
      14.3.14 TCS
      14.3.15 Tech Mahindra
      14.3.16 Thoughtonomy
      14.3.17 UiPath
      14.3.18 Wipro

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