Intelligent Process Automation Market to Witness Huge Growth by 2028 | Pegasystems (US),Blue Prism (UK), Capgemini (France), CGI (Canada), Nice (Israel), Cognizant (US), Infobip (England)

The Intelligent Process Automation Market research report categorizes the competitive spectrum of the industry in detail. It highlights the top key vendors operating in the market so as to understand the competitive landscape of the market. The report also mentions the details such as the overall remuneration, product sales figures, pricing trends, gross margins, etc. Information about the sales & distribution area alongside the details of the company, such as company overview, buyer portfolio, product specifications, etc., are provided in the study.

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The global Intelligent Process Automation Market size is expected to grow USD 13.6 billion in 2022 to USD 25.9 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 13.8% during the forecast period.

Key and innovative vendors in the Intelligent Process Automation Market include Atos (France), IBM (US), Genpact (US), HCL Technologies (India), Pegasystems (US),Blue Prism (UK), Capgemini (France), CGI (Canada), Nice (Israel), Cognizant (US), Infobip (England), Infosys (India), TCS (India), Tech Mahindra (India), UIPath (US), Wipro (India), Xerox (US), Happiest Minds (India), WorkFusion (US), Automation Anywhere (US), Virtual Operations (UK), Hive (US), HyperScience (US), Laiye (China), Cognigy (Germany), Jiffy.ai (US), Infinitus (US), ElectroNeek (US), Snorkel AI (US), Vianai (US), Kryon (Israel), Rossom (UK), Autologyx (UK), Automation Edge (US).

"By Application, the Contact Center Management segment to grow at the highest market share during the forecast period"

Contact center management is a tool that organizations use to manage the daily operations of the workforce across multiple touch points and channels to assist omnichannel customer journeys. Contact center management includes workforce forecasting, agent scheduling, time management, employee empowerment and enrichment, reporting, and customer interactions. There is an increase in customer expectations; customers call for a change in pattern from customer service management to customer experience management. Contact centers are moving toward building a digital workforce in place of their automation strategy by integrating RPA, AI, NLP, ML, and analytics elements to automate their business processes. Developments are being done to automate processes that were earlier seen as non-automatable due to their input in unstructured formats, such as free flow text documents and scanned images. This is why newer technologies are developed to assist and help agents interact with customers and drive more satisfaction.

"By Organization Size, the Large Enterprises segment to hold the larger market size during the forecast period"

Organizations with more than 1,000 employees are considered large enterprises. The adoption of the IPA solution among large enterprises is expected to increase in the coming years. The large enterprises are expected to have adopted the IPA solution for reducing operational costs, improving business functioning, enhancing operational efficiency, and sustaining the intense competition. With the increasing amount of data, processes, and tasks, large enterprises have started investing in IT infrastructure and technical expertise to automate their various tasks. The IPA solution helps save infrastructure costs, improve business functioning, and enhance agility. Large enterprises possess a huge amount of data across business functions, which they need to analyze for entity extraction, text classification, summarization, and sentiment analysis. Large organizations in BFSI, retail, healthcare, and telecommunications verticals need AI technology for identifying patterns in data. AI helps data management teams realize which practices are ineffective and what all are working best. Several organizational departments have been utilizing data to enhance their operations. For instance, sales departments that study consumer trends can get useful insights. AI makes sure that data reaches the right user without getting intercepted by cybercriminals who may employ man-in-the-middle, spear phishing, ransomware, spyware, or any other cyberattacks.

"By Region, North America to grow at the highest market share during the forecast period"

In terms of market size, North America is expected to be the major contributor to the IPA market during the forecast period. The US and Canada are expected to be the major contributors to the North American market. Enterprises in this region are the early adopters of technologies, such as machine learning, AI, NLP, and virtual bots adoption. Most of the North American industry verticals have already gone through digital transformation. This rapid adoption of technologies has led to the generation of massive data by North American companies and presented positive opportunities for the deployment of IPA software to maintain and manage such data. The automation of business processes results in less need for manpower and saves a lot of time and cost, enabling companies to focus on business-critical decisions. The presence of key players in North America, such as Cognizant, Genpact, IBM, Xerox, and Pegasystems, is also one of the factors driving the adoption of intelligent process automation solutions in the region. Industries such as BFSI, telecommunications & IT, transportation & logistics, manufacturing, and media & entertainment are at the forefront of adopting intelligent process automation solutions. A large number of organizations are shifting their focus toward automating internal business functions; this has created an opportunity to refine and streamline various business activities through intelligent process automation. These factors are expected to have led to the high adoption of intelligent process automation solutions in the North American region.The breakup of the profiles of the primary participants is given below:

By Company: Tier 1 - 41%, Tier 2 - 38%, and Tier 3 - 21%
By Designation: C-Level Executives - 64%, Directors- 22%, Others*-14%
By Region: North America - 45%, Europe - 26%, APAC - 19%,Row - 10%

Research Coverage

Intelligent Process Automation market is segmented on component, technology, application, business function, deployment mode, organization size, vertical, and region. A detailed analysis of the key industry players has been undertaken to provide insights into their business overviews; services; key strategies; new service and product launches; partnerships, agreements, and collaborations; business expansions; and competitive landscape associated with the intelligent process automation market.

Key benefits of buying the report

The report is expected to help the market leaders/new entrants in this market by providing them information on the closest approximations of the revenue numbers for the overall intelligent process automation market and its segments. This report is also expected to help stakeholders understand the competitive landscape and gain insights to improve the position of their businesses and to plan suitable go-to-market strategies. The report also aims at helping stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

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Table Of Contents

1 Introduction
1.1 Objectives Of Study
1.2 Market Definition
1.2.1 Inclusions And Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Years Considered
1.4 Currency Considered
Table 1 United States Dollar, Exchange Rates, 2018-2021
1.5 Stakeholders
1.6 Summary Of Changes

2 Research Methodology
2.1 Research Data
Figure 1 Global Intelligent Process Automation Market: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup Of Primary Profiles
Figure 2 Breakup Of Profiles Of Primary Participants: By Company Type, Designation, And Region
2.1.2.2 Key Industry Insights
2.2 Market Breakup And Data Triangulation
Figure 3 Data Triangulation
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
Figure 4 Market Size Estimation Methodology - Approach 1 (Supply Side): Revenue Of Solutions And Services Of Market
Figure 5 Market Size Estimation Methodology - Approach 1 (Bottom-Up) (Supply-Side): Collective Revenue Of Solutions And Services Of Market
2.3.2 Top-Down Approach
Figure 6 Market Size Estimation Methodology - Approach 2 (Demand Side): Intelligent Process Automation Market
2.4 Market Forecast
Table 2 Factor Analysis
2.5 Assumptions For Study
Table 3 Intelligent Process Automation: Assumtions Considered
2.6 Limitations Of Study

3 Executive Summary
Figure 7 Intelligent Process Automation Market Size, 2022-2027
Figure 8 Largest Segments In Market, 2022
Figure 9 Market Analysis
Figure 10 Asia Pacific To Be Best Market For Investments During Forecast Period

4 Premium Insights
4.1 Attractive Opportunities In Intelligent Process Automation Market
Figure 11 Faster Decision-Making Across Organizations To Drive Market Growth
4.2 Market, By Deployment Mode, 2022
Figure 12 On-Premises Segment To Account For Larger Market Share During Forecast Period
4.3 North American Market, 2022
Figure 13 Solution Segment And Us To Account For Large Market Shares In North America In 2022
4.4 Asia Pacific Market, 2022
Figure 14 Solution Segment And China To Account For High Market Shares In Asia Pacific In 2022
4.5 Market, By Country
Figure 15 China To Grow At Highest Cagr During Forecast Period

5 Market Overview And Industry Trends
5.1 Introduction
5.2 Market Dynamics
Figure 16 Drivers, Restraints, Opportunities, And Challenges: Intelligent Process Automation Market
5.2.1 Drivers
5.2.1.1 Rising Adoption Of Rpa
5.2.1.2 Increasing Inheritance Of Ml And Advanced Analytics
5.2.1.3 Faster Decision-Making Across Organizations
5.2.1.4 Rising Demand For Automated Solutions For Business Continuity Planning
5.2.2 Restraints
5.2.2.1 Massive Data Handling And Cost Computation
5.2.2.2 Absence Of Highly Sophisticated And Skilled Manpower
5.2.2.3 High Cost Of Investment
5.2.3 Opportunities
5.2.3.1 Effective Monitoring Of Data And Fraud Detection
5.2.3.2 Increasing Investment In Ipa Market
5.2.4 Challenges
5.2.4.1 Hike In Cybersecurity Threats
5.2.4.2 Difficulties In Rising In Maturity Chain
5.2.4.3 Poor Communication Infrastructure To Restrict Growth
5.3 Industry Trends
5.3.1 Supply/Value Chain Analysis
Figure 17 Intelligent Process Automation Market: Value Chain Analysis
5.3.2 Ecosystem/Market Map
Table 4 Market: Ecosystem
5.3.3 Porter's Five Forces Analysis
Table 5 Market: Porter's Five Forces Model
Figure 18 Porter's Five Forces Analysis: Market
5.3.3.1 Threat Of New Entrants
5.3.3.2 Threat Of Substitutes
5.3.3.3 Bargaining Power Of Buyers
5.3.3.4 Bargaining Power Of Suppliers
5.3.3.5 Rivalry Among Existing Competitors
5.3.4 Key Stakeholders And Buying Criteria
5.3.4.1 Key Stakeholders In Buying Process
Figure 19 Influence Of Stakeholders In Buying Process For Top Three Applications
Table 6 Influence Of Stakeholders In Buying Process For Top Three Applications (%)
5.3.4.2 Buying Criteria
Figure 20 Key Buying Criteria For Top Three Applications
Table 7 Key Buying Criteria For Top Three Applications
5.3.5 Technology Analysis
5.3.5.1 Ml And Ai
5.3.5.2 Rpa
5.3.5.3 Nlp
5.3.5.4 Neural Network
5.3.5.5 Virtual Agents
5.3.5.6 Mini Bots
5.3.6 Trends And Disruptions Impacting Buyers
Figure 21 Revenue Shift For Intelligent Process Automation Market
5.3.7 Patent Analysis
Figure 22 Top Ten Companies With Highest Number Of Patent Applications
Table 8 Top Twenty Patent Owners
Figure 23 Number Of Patents Granted In One Year, 2012-2021
5.3.8 Pricing Analysis
Table 9 Average Selling Price Ranges Of Subscription-Based Intelligent Process Automation
5.3.9 Market Assessment By Data Type
5.3.9.1 Structured Data
5.3.9.2 Unstructured Data
5.3.10 Use Cases
5.3.10.1 Contact Center Management
5.3.10.1.1 Use Case 1: Ke Holdings Inherited Laiye's Rpa Deployment To Accelerate Data Transmission
5.3.10.1.2 Use Case 2: E.On Chose Cognigy.Ai As A Solution For Its High Modularity And Custom Integration Capabilities
5.3.10.2 Business Process Automation
5.3.10.2.1 Use Case 3: Flowforma Managed Multi-Cloud Infrastructure Of Global Pharma Organization
5.3.10.2.2 Use Case 4: Bizagi Automation Platform Automated Audi Japan Kk's Finance Processes
5.3.10.3 Application Management
5.3.10.3.1 Use Case 5: Laiye Built Ai-Powered Conversational Robot For Astrazeneca
5.3.10.4 Content Management
5.3.10.4.1 Use Case 6: Deutsche Bank Selected Workfusion To Streamline Processes
5.3.10.4.2 Use Case 7: Kofax Selected Cognigy.Ai To Enhance Its Search Engine For Its Knowledge Base
5.3.10.5 Security Management
5.3.10.5.1 Use Case 8: Future-Proofing A Captive Auto Finance Organization With Pegasystems
5.3.11 Tariff & Regulatory Impact
5.3.11.1 Regulatory Bodies, Government Agencies, And Other Organizations
Table 10 North America: List Of Regulatory Bodies, Government Agencies, And Other Organizations
Table 11 Europe: List Of Regulatory Bodies, Government Agencies, And Other Organizations
Table 12 Asia Pacific: List Of Regulatory Bodies, Government Agencies, And Other Organizations
Table 13 Middle East & Africa: List Of Regulatory Bodies, Government Agencies, And Other Organizations
Table 14 Latin America: List Of Regulatory Bodies, Government Agencies, And Other Organizations
5.3.12 Key Conferences & Events In 2022
Table 15 Intelligent Process Automation Market: Detailed List Of Conferences & Events
5.4 Covid-19 Market Outlook For Market
5.4.1 Market: Analysis Of Drivers And Opportunities In Covid-19 Era
5.4.2 Market: Analysis Of Challenges And Restraints In Covid-19 Era
5.4.3 Cumulative Growth Analysis
Table 16 Market: Cumulative Growth Analysis

6 Intelligent Process Automation Market, By Component
6.1 Introduction
6.1.1 Component: Covid-19 Impact
Figure 24 Platform Segment To Grow At Highest Cagr During Forecast Period
Table 17 Market, By Component, 2016-2021 (Usd Million)
Table 18 Market, By Component, 2022-2027 (Usd Million)
Table 19 Component: Market, By Region, 2016-2021 (Usd Million)
Table 20 Component: Market, By Region, 2022-2027 (Usd Million)
6.2 Platform
6.2.1 Platform: Market Drivers
Table 21 Platform: Market, By Region, 2016-2021 (Usd Million)
Table 22 Platform: Market, By Region, 2022-2027 (Usd Million)
6.3 Solution
6.3.1 Solution: Market Drivers
Table 23 Solution: Intelligent Process Automation Market, By Region, 2016-2021 (Usd Million)
Table 24 Solution: Market, By Region, 2022-2027 (Usd Million)
6.4 Services
6.4.1 Services: Market Drivers
Figure 25 Managed Services Segment To Grow At Higher Cagr During Forecast Period
Table 25 Market, By Services, 2016-2021 (Usd Million)
Table 26 Market, By Services, 2022-2027 (Usd Million)
Table 27 Services: Market, By Region, 2016-2021 (Usd Million)
Table 28 Services: Market, By Region, 2022-2027 (Usd Million)
6.4.2 Professional Services
Figure 26 Advisory And Consulting Services Segment To Grow At Highest Cagr During Forecast Period
Table 29 Intelligent Process Automation Market, By Professional Service, 2016-2021 (Usd Million)
Table 30 Market, By Professional Service, 2022-2027 (Usd Million)
Table 31 Professional Services: Market, By Region, 2016-2021 (Usd Million)
Table 32 Professional Services: Market, By Region, 2022-2027 (Usd Million)
6.4.2.1 Advisory/Consulting
Table 33 Advisory/Consulting: Market, By Region, 2016-2021 (Usd Million)
Table 34 Advisory/Consulting: Market, By Region, 2022-2027 (Usd Million)
6.4.2.2 Design & Implementation
Table 35 Design & Implementation: Market, By Region, 2016-2021 (Usd Million)
Table 36 Design & Implementation: Market, By Region, 2022-2027 (Usd Million)
6.4.2.3 Training
Table 37 Training: Market, By Region, 2016-2021 (Usd Million)
Table 38 Training: Intelligent Process Automation Market, By Region, 2022-2027 (Usd Million)
6.4.2.4 Support & Maintenance
Table 39 Support & Maintenance: Market, By Region, 2016-2021 (Usd Million)
Table 40 Support & Maintenance: Market, By Region, 2022-2027 (Usd Million)
6.4.3 Managed Services
Table 41 Managed Services: Market, By Region, 2016-2021 (Usd Million)
Table 42 Managed Services: Market, By Region, 2022-2027 (Usd Million)

7 Intelligent Process Automation Market, By Technology
7.1 Introduction
7.1.1 Technology: Market Drivers
7.1.2 Technology: Covid-19 Impact
7.2 Natural Language Processing
7.3 Machine And Deep Learning
7.4 Neural Networks
7.5 Virtual Agents
7.6 Mini Bots
7.7 Computer Vision
7.8 Other Technologies

8 Intelligent Process Automation Market, By Application
8.1 Introduction
8.1.1 Application: Covid-19 Impact
Figure 27 Contact Center Management Segment To Grow At Highest Cagr During Forecast Period
Table 43 Market, By Application, 2016-2021 (Usd Million)
Table 44 Market, By Application, 2022-2027 (Usd Million)
Table 45 Application: Market, By Region, 2016-2021 (Usd Million)
Table 46 Application: Market, By Region, 2022-2027 (Usd Million)
8.2 Contact Center Management
8.2.1 Contact Center Management: Market Drivers
Table 47 Contact Center Management: Market, By Region, 2016-2021 (Usd Million)
Table 48 Contact Center Management: Intelligent Process Automation Market, By Region, 2022-2027 (Usd Million)
8.3 Business Process Automation
8.3.1 Business Process Automation: Market Drivers
Table 49 Business Process Automation: Market, By Region, 2016-2021 (Usd Million)
Table 50 Business Process Automation: Market, By Region, 2022-2027 (Usd Million)
8.4 Application Management
8.4.1 Application Management: Market Drivers
Table 51 Application Management: Market, By Region, 2016-2021 (Usd Million)
Table 52 Application Management: Market, By Region, 2022-2027 (Usd Million)
8.5 Content Management
8.5.1 Content Management: Market Drivers
Table 53 Content Management: Market, By Region, 2016-2021 (Usd Million)
Table 54 Content Management: Intelligent Process Automation Market, By Region, 2022-2027 (Usd Million)
8.6 Security Management
8.6.1 Security Management: Market Drivers
Table 55 Security Management: Market, By Region, 2016-2021 (Usd Million)
Table 56 Security Management: Market, By Region, 2022-2027 (Usd Million)
8.7 Other Applications
Table 57 Other Applications: Market, By Region, 2016-2021 (Usd Million)
Table 58 Other Applications: Market, By Region, 2022-2027 (Usd Million)

9 Intelligent Process Automation Market, By Business Function
9.1 Introduction
9.1.1 Business Functions: Covid-19 Impact
Figure 28 Information Technology To Lead Intelligent Process Automation During Forecast Period
Table 59 Market, By Business Function, 2016-2021 (Usd Million)
Table 60 Market, By Business Function, 2022-2027 (Usd Million)
Table 61 Business Function: Market, By Region, 2016-2021 (Usd Million)
Table 62 Business Function: Market, By Region, 2022-2027 (Usd Million)
9.2 Information Technology
9.2.1 Information Technology: Market Drivers
Table 63 Information Technology: Market, By Region, 2016-2021 (Usd Million)
Table 64 Information Technology: Intelligent Process Automation Market, By Region, 2022-2027 (Usd Million)
9.3 Finance & Accounts
9.3.1 Finance & Accounts: Market Drivers
Table 65 Finance & Accounts: Market, By Region, 2016-2021 (Usd Million)
Table 66 Finance & Accounts: Market, By Region, 2022-2027 (Usd Million)
9.4 Human Resources
9.4.1 Human Resources: Market Drivers
Table 67 Human Resources: Market, By Region, 2016-2021 (Usd Million)
Table 68 Human Resources: Market, By Region, 2022-2027 (Usd Million)
9.5 Operations & Supply Chain
9.5.1 Operations & Supply Chain: Market Drivers
Table 69 Operations & Supply Chain: Market, By Region, 2016-2021 (Usd Million)
Table 70 Operations & Supply Chain: Market, By Region, 2022-2027 (Usd Million)

10 Intelligent Process Automation Market, By Deployment Mode
10.1 Introduction
10.1.1 Deployment Mode: Covid-19 Impact
Figure 29 On-Premises Deployment Mode To Lead Intelligent Process Automation During Forecast Period
Table 71 Market, By Deployment Mode, 2016-2021 (Usd Million)
Table 72 Market, By Deployment Mode, 2022-2027 (Usd Million)
Table 73 Deployment Mode: Market, By Region, 2016-2021 (Usd Million)
Table 74 Deployment Mode: Market, By Region, 2022-2027 (Usd Million)
10.2 On-Premises
10.2.1 On-Premises: Market Drivers
Table 75 On-Premises: Market, By Region, 2016-2021 (Usd Million)
Table 76 On-Premises: Market, By Region, 2022-2027 (Usd Million)
10.3 Cloud
10.3.1 Cloud: Market Drivers
Table 77 Cloud: Market, By Region, 2016-2021 (Usd Million)
Table 78 Cloud: Market, By Region, 2022-2027 (Usd Million)

11 Intelligent Process Automation Market, By Organization Size

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