Summary

Intelligent automation (IA) is the process of using artificial intelligence (AI) to make self-improving software automation. Robotic process automation (RPA) is a software technology that automates repetitive and labor-intensive back-office workflows like filling in forms, searching for information, or sorting invoices. RPA robots are software robots that interact with any digital system like people do. Intelligent automation technologies make RPA bots smarter to self-learn more complex tasks and use cases. Intelligent automation combines AI technologies like natural language processing (NLP), generative AI, and optical character recognition (OCR) to streamline business operations. IPA offers many benefits to end users across industries as it dramatically reduces the time spent on repetitive tasks, allowing employees to focus on more strategic and creative aspects of their work by data analysis and interpretation an automated, IPA increases the speed and accuracy of decision-making processes, improving productivity and efficiency.

The increasing adoption of Robotic Process Automation (RPA) has been a driving force behind the growth of the Intelligence Process Automation (IPA) market. RPA involves the use of software robots or "bots" to automate repetitive, rule-based tasks, allowing businesses to streamline operations and enhance efficiency. Moreover, the growing inheritance of machine learning (ML) and the continuous advancement of analytics are significantly propelling the intelligence process automation market. However, handling massive amounts of data and the computations involved in cost estimation is restraining the intelligent process automation market growth. In the context of intelligent process automation, monitoring data and fraud detection play pivotal roles in boosting the intelligence process automation market. By employing advanced technologies like machine learning and AI, these monitoring systems swiftly sift through vast datasets, identifying anomalies and potentially fraudulent activities in real time.

Furthermore, the convergence of IPA with other emerging technologies like robotic process automation (RPA), data analytics, and cognitive computing is creating more comprehensive and sophisticated automation ecosystems. This convergence facilitates end-to-end process automation, predictive analytics, and personalized user experiences, driving further adoption and market expansion. Overall, the growth of the intelligent process automation market is driven by the pursuit of operational excellence, advancements in AI capabilities, changing work dynamics, and the synergistic integration of automation with other cutting-edge technologies, paving the way for increased efficiency and innovation across industries.
The intelligent process automation market is segmented based on component, technology, organization size, deployment mode, industry vertical, and region. Based on the component, the market is bifurcated into solution, and services. By technology, the market is classified into natural process automation, machine and deep learning, computer vision, virtual agents, and others. Based on the organization size, the market is bifurcated into large enterprises and small & medium-sized enterprises. By deployment mode, it is categorized into on-premises and cloud. By industry vertical, it is divided into BFSI, retail, manufacturing, healthcare, IT & telecom, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Some of the key players profiled in the report include Accenture, Atos SE, Capgemini, Cognizant, Genpact, HCL Technologies, IBM Corporation, Infosys, Pegasystems, and Tech Mahindra. These players have adopted various strategies to increase their market penetration and strengthen their position in the intelligent process automation market.

Key Benefits for Stakeholders
●The study provides an in-depth analysis of the global intelligent process automation market along with the current & future trends to illustrate the imminent investment pockets.
●Information about key drivers, restraints, & opportunities and their impact analysis on the global intelligent process automation market size are provided in the report.
●Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
●A quantitative analysis of the global intelligent process automation market from 2022 to 2032 is provided to determine the market potential.

Additional benefits you will get with this purchase are:
● Quarterly Update and* (only available with a corporate license, on listed price)
● 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
● Free Upcoming Version on the Purchase of Five and Enterprise User License.
● 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
● 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
● Free data Pack on the Five and Enterprise User License. (Excel version of the report)
● Free Updated report if the report is 6-12 months old or older.
● 24-hour priority response*
● Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
● Consumer Buying Behavior Analysis
● Market share analysis of players by products/segments
● New Product Development/ Product Matrix of Key Players
● Additional company profiles with specific to client's interest
● Additional country or region analysis- market size and forecast
● Key player details (including location, contact details, supplier/vendor network etc. in excel format)
Key Market Segments
By Component
● Solution
● Services
By Technology
● Natural Process Automation
● Machine and Deep Learning
● Computer Vision
● Virtual Agents
● Others
By Deployment Mode
● On-premises
● Cloud
By Organization Size
● Large Enterprises
● Small and Medium-sized Enterprises
By Industry Vertical
● BFSI
● Retail
● Manufacturing
● Healthcare
● IT and Telecom
● Others
By Region
● North America
○ U.S.
○ Canada
● Europe
○ UK
○ Germany
○ France
○ Italy
○ Spain
○ Rest of Europe
● Asia-Pacific
○ China
○ India
○ Japan
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa
● Key Market Players
○ IBM Corporation
○ Capgemini
○ Accenture
○ Cognizant
○ HCL Technologies Limited
○ Atos SE
○ Pegasystems
○ Tech Mahindra Limited
○ Genpact
○ Infosys Limited

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Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Low bargaining power of suppliers
3.3.2. Low threat of new entrants
3.3.3. Low threat of substitutes
3.3.4. Low intensity of rivalry
3.3.5. Low bargaining power of buyers
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Rising adoption of RPA
3.4.1.2. Increasing the inheritance of ML and advancing analytics
3.4.1.3. Rising demand for automated solutions for business planning
3.4.2. Restraints
3.4.2.1. Massive data handling and cost computation
3.4.2.2. High cost of investment
3.4.3. Opportunities
3.4.3.1. Effective monitoring of data and fraud detection
CHAPTER 4: INTELLIGENT PROCESS AUTOMATION MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Services
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: INTELLIGENT PROCESS AUTOMATION MARKET, BY TECHNOLOGY
5.1. Overview
5.1.1. Market size and forecast
5.2. Natural Process Automation
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Machine and Deep Learning
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
5.4. Computer Vision
5.4.1. Key market trends, growth factors and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market share analysis by country
5.5. Virtual Agents
5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market share analysis by country
5.6. Others
5.6.1. Key market trends, growth factors and opportunities
5.6.2. Market size and forecast, by region
5.6.3. Market share analysis by country
CHAPTER 6: INTELLIGENT PROCESS AUTOMATION MARKET, BY DEPLOYMENT MODE
6.1. Overview
6.1.1. Market size and forecast
6.2. On-premises
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Cloud
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
CHAPTER 7: INTELLIGENT PROCESS AUTOMATION MARKET, BY ORGANIZATION SIZE
7.1. Overview
7.1.1. Market size and forecast
7.2. Large Enterprises
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market share analysis by country
7.3. Small and Medium-sized Enterprises
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market share analysis by country
CHAPTER 8: INTELLIGENT PROCESS AUTOMATION MARKET, BY INDUSTRY VERTICAL
8.1. Overview
8.1.1. Market size and forecast
8.2. BFSI
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by region
8.2.3. Market share analysis by country
8.3. Retail
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by region
8.3.3. Market share analysis by country
8.4. Manufacturing
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by region
8.4.3. Market share analysis by country
8.5. Healthcare
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by region
8.5.3. Market share analysis by country
8.6. IT and Telecom
8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by region
8.6.3. Market share analysis by country
8.7. Others
8.7.1. Key market trends, growth factors and opportunities
8.7.2. Market size and forecast, by region
8.7.3. Market share analysis by country
CHAPTER 9: INTELLIGENT PROCESS AUTOMATION MARKET, BY REGION
9.1. Overview
9.1.1. Market size and forecast By Region
9.2. North America
9.2.1. Key market trends, growth factors and opportunities
9.2.2. Market size and forecast, by Component
9.2.3. Market size and forecast, by Technology
9.2.4. Market size and forecast, by Deployment Mode
9.2.5. Market size and forecast, by Organization Size
9.2.6. Market size and forecast, by Industry Vertical
9.2.7. Market size and forecast, by country
9.2.7.1. U.S.
9.2.7.1.1. Market size and forecast, by Component
9.2.7.1.2. Market size and forecast, by Technology
9.2.7.1.3. Market size and forecast, by Deployment Mode
9.2.7.1.4. Market size and forecast, by Organization Size
9.2.7.1.5. Market size and forecast, by Industry Vertical
9.2.7.2. Canada
9.2.7.2.1. Market size and forecast, by Component
9.2.7.2.2. Market size and forecast, by Technology
9.2.7.2.3. Market size and forecast, by Deployment Mode
9.2.7.2.4. Market size and forecast, by Organization Size
9.2.7.2.5. Market size and forecast, by Industry Vertical
9.3. Europe
9.3.1. Key market trends, growth factors and opportunities
9.3.2. Market size and forecast, by Component
9.3.3. Market size and forecast, by Technology
9.3.4. Market size and forecast, by Deployment Mode
9.3.5. Market size and forecast, by Organization Size
9.3.6. Market size and forecast, by Industry Vertical
9.3.7. Market size and forecast, by country
9.3.7.1. UK
9.3.7.1.1. Market size and forecast, by Component
9.3.7.1.2. Market size and forecast, by Technology
9.3.7.1.3. Market size and forecast, by Deployment Mode
9.3.7.1.4. Market size and forecast, by Organization Size
9.3.7.1.5. Market size and forecast, by Industry Vertical
9.3.7.2. Germany
9.3.7.2.1. Market size and forecast, by Component
9.3.7.2.2. Market size and forecast, by Technology
9.3.7.2.3. Market size and forecast, by Deployment Mode
9.3.7.2.4. Market size and forecast, by Organization Size
9.3.7.2.5. Market size and forecast, by Industry Vertical
9.3.7.3. France
9.3.7.3.1. Market size and forecast, by Component
9.3.7.3.2. Market size and forecast, by Technology
9.3.7.3.3. Market size and forecast, by Deployment Mode
9.3.7.3.4. Market size and forecast, by Organization Size
9.3.7.3.5. Market size and forecast, by Industry Vertical
9.3.7.4. Italy
9.3.7.4.1. Market size and forecast, by Component
9.3.7.4.2. Market size and forecast, by Technology
9.3.7.4.3. Market size and forecast, by Deployment Mode
9.3.7.4.4. Market size and forecast, by Organization Size
9.3.7.4.5. Market size and forecast, by Industry Vertical
9.3.7.5. Spain
9.3.7.5.1. Market size and forecast, by Component
9.3.7.5.2. Market size and forecast, by Technology
9.3.7.5.3. Market size and forecast, by Deployment Mode
9.3.7.5.4. Market size and forecast, by Organization Size
9.3.7.5.5. Market size and forecast, by Industry Vertical
9.3.7.6. Rest of Europe
9.3.7.6.1. Market size and forecast, by Component
9.3.7.6.2. Market size and forecast, by Technology
9.3.7.6.3. Market size and forecast, by Deployment Mode
9.3.7.6.4. Market size and forecast, by Organization Size
9.3.7.6.5. Market size and forecast, by Industry Vertical
9.4. Asia-Pacific
9.4.1. Key market trends, growth factors and opportunities
9.4.2. Market size and forecast, by Component
9.4.3. Market size and forecast, by Technology
9.4.4. Market size and forecast, by Deployment Mode
9.4.5. Market size and forecast, by Organization Size
9.4.6. Market size and forecast, by Industry Vertical
9.4.7. Market size and forecast, by country
9.4.7.1. China
9.4.7.1.1. Market size and forecast, by Component
9.4.7.1.2. Market size and forecast, by Technology
9.4.7.1.3. Market size and forecast, by Deployment Mode
9.4.7.1.4. Market size and forecast, by Organization Size
9.4.7.1.5. Market size and forecast, by Industry Vertical
9.4.7.2. India
9.4.7.2.1. Market size and forecast, by Component
9.4.7.2.2. Market size and forecast, by Technology
9.4.7.2.3. Market size and forecast, by Deployment Mode
9.4.7.2.4. Market size and forecast, by Organization Size
9.4.7.2.5. Market size and forecast, by Industry Vertical
9.4.7.3. Japan
9.4.7.3.1. Market size and forecast, by Component
9.4.7.3.2. Market size and forecast, by Technology
9.4.7.3.3. Market size and forecast, by Deployment Mode
9.4.7.3.4. Market size and forecast, by Organization Size
9.4.7.3.5. Market size and forecast, by Industry Vertical
9.4.7.4. Australia
9.4.7.4.1. Market size and forecast, by Component
9.4.7.4.2. Market size and forecast, by Technology
9.4.7.4.3. Market size and forecast, by Deployment Mode
9.4.7.4.4. Market size and forecast, by Organization Size
9.4.7.4.5. Market size and forecast, by Industry Vertical
9.4.7.5. South Korea
9.4.7.5.1. Market size and forecast, by Component
9.4.7.5.2. Market size and forecast, by Technology
9.4.7.5.3. Market size and forecast, by Deployment Mode
9.4.7.5.4. Market size and forecast, by Organization Size
9.4.7.5.5. Market size and forecast, by Industry Vertical
9.4.7.6. Rest of Asia-Pacific
9.4.7.6.1. Market size and forecast, by Component
9.4.7.6.2. Market size and forecast, by Technology
9.4.7.6.3. Market size and forecast, by Deployment Mode
9.4.7.6.4. Market size and forecast, by Organization Size
9.4.7.6.5. Market size and forecast, by Industry Vertical
9.5. LAMEA
9.5.1. Key market trends, growth factors and opportunities
9.5.2. Market size and forecast, by Component
9.5.3. Market size and forecast, by Technology
9.5.4. Market size and forecast, by Deployment Mode
9.5.5. Market size and forecast, by Organization Size
9.5.6. Market size and forecast, by Industry Vertical
9.5.7. Market size and forecast, by country
9.5.7.1. Latin America
9.5.7.1.1. Market size and forecast, by Component
9.5.7.1.2. Market size and forecast, by Technology
9.5.7.1.3. Market size and forecast, by Deployment Mode
9.5.7.1.4. Market size and forecast, by Organization Size
9.5.7.1.5. Market size and forecast, by Industry Vertical
9.5.7.2. Middle East
9.5.7.2.1. Market size and forecast, by Component
9.5.7.2.2. Market size and forecast, by Technology
9.5.7.2.3. Market size and forecast, by Deployment Mode
9.5.7.2.4. Market size and forecast, by Organization Size
9.5.7.2.5. Market size and forecast, by Industry Vertical
9.5.7.3. Africa
9.5.7.3.1. Market size and forecast, by Component
9.5.7.3.2. Market size and forecast, by Technology
9.5.7.3.3. Market size and forecast, by Deployment Mode
9.5.7.3.4. Market size and forecast, by Organization Size
9.5.7.3.5. Market size and forecast, by Industry Vertical
CHAPTER 10: COMPETITIVE LANDSCAPE
10.1. Introduction
10.2. Top winning strategies
10.3. Product mapping of top 10 player
10.4. Competitive dashboard
10.5. Competitive heatmap
10.6. Top player positioning, 2022
CHAPTER 11: COMPANY PROFILES
11.1. IBM Corporation
11.1.1. Company overview
11.1.2. Key executives
11.1.3. Company snapshot
11.1.4. Operating business segments
11.1.5. Product portfolio
11.1.6. Business performance
11.1.7. Key strategic moves and developments
11.2. Pegasystems
11.2.1. Company overview
11.2.2. Key executives
11.2.3. Company snapshot
11.2.4. Operating business segments
11.2.5. Product portfolio
11.2.6. Key strategic moves and developments
11.3. Tech Mahindra Limited
11.3.1. Company overview
11.3.2. Key executives
11.3.3. Company snapshot
11.3.4. Operating business segments
11.3.5. Product portfolio
11.3.6. Business performance
11.3.7. Key strategic moves and developments
11.4. Capgemini
11.4.1. Company overview
11.4.2. Key executives
11.4.3. Company snapshot
11.4.4. Operating business segments
11.4.5. Product portfolio
11.4.6. Business performance
11.4.7. Key strategic moves and developments
11.5. Accenture
11.5.1. Company overview
11.5.2. Key executives
11.5.3. Company snapshot
11.5.4. Operating business segments
11.5.5. Product portfolio
11.5.6. Business performance
11.5.7. Key strategic moves and developments
11.6. Atos SE
11.6.1. Company overview
11.6.2. Key executives
11.6.3. Company snapshot
11.6.4. Operating business segments
11.6.5. Product portfolio
11.6.6. Business performance
11.6.7. Key strategic moves and developments
11.7. Cognizant
11.7.1. Company overview
11.7.2. Key executives
11.7.3. Company snapshot
11.7.4. Operating business segments
11.7.5. Product portfolio
11.7.6. Business performance
11.7.7. Key strategic moves and developments
11.8. Genpact
11.8.1. Company overview
11.8.2. Key executives
11.8.3. Company snapshot
11.8.4. Operating business segments
11.8.5. Product portfolio
11.8.6. Business performance
11.8.7. Key strategic moves and developments
11.9. HCL Technologies Limited
11.9.1. Company overview
11.9.2. Key executives
11.9.3. Company snapshot
11.9.4. Operating business segments
11.9.5. Product portfolio
11.9.6. Business performance
11.9.7. Key strategic moves and developments
11.10. Infosys Limited
11.10.1. Company overview
11.10.2. Key executives
11.10.3. Company snapshot
11.10.4. Operating business segments
11.10.5. Product portfolio
11.10.6. Business performance
11.10.7. Key strategic moves and developments