Intelligent Process Automation Market by Technology, Component, Application, Vertical

Description

List of Tables

[197 Pages Report] The Intelligent Process Automation Market size was estimated at USD 13.46 billion in 2023 and expected to reach USD 15.54 billion in 2024, at a CAGR 15.63% to reach USD 37.23 billion by 2030.

Intelligent process automation (IPA) is a developed form of automation that amalgamates robotic process automation (RPA) with artificial intelligence (AI) and machine learning technologies to create systems capable of mimicking human actions while also learning and adapting to new processes and exceptions. By combining rules-based automation with cognitive elements, IPA enables the automation of routine and repetitive tasks and those that require perception, judgment, and decision-making. The increasing demand for automation in business processes and improved data analysis & decision-making drives the market growth. Additionally, the rise of digital transformation initiatives across industries and the growing focus on operational efficiency are propelling the market forward. Despite its potential, the growth of the IPA market faces limitations and challenges, including high initial implementation costs and concerns over data privacy and security. Furthermore, enhanced cognitive automation, integration with the Internet of Things (IoT), increased usage of cloud-based solutions, and the development of industry-specific IPA solutions are opening new avenues for market expansion.

KEY MARKET STATISTICS
Base Year [2023]	USD 13.46 billion
Estimated Year [2024]	USD 15.54 billion
Forecast Year [2030]	USD 37.23 billion
CAGR (%)	15.63%

Technology: Growing adoption of machine and deep learning for predictive accuracy and modeling capabilities

Bots, referred to as robotic process automation (RPA) tools, are software applications designed to automate repetitious, rule-based tasks by imitating the actions of a human user. Bots are particularly useful for high-volume, low-complexity tasks such as data entry, form filling, and basic customer service. Bots can provide substantial time and cost savings, reduce human blunder, and allow employees to focus on more complex, value-added activities. Computer vision technology allows machines to interpret and make decisions based on visual input from the world around them, akin to human vision. It is used in various applications such as quality inspection, surveillance, and autonomous vehicles. Industries that require visual recognition tasks, such as manufacturing or retail, are ideal candidates for adopting computer vision technologies. Machine Learning (ML) and Deep Learning (DL) are subsets of AI involving algorithms and statistical models that enable computers to improve at tasks with experience. ML/DL is particularly beneficial for pattern recognition, predictive analytics, and complex decision-making processes. NLP technologies enable computers to understand, interpret, and generate human language in a meaningful way. They are widely used in applications such as speech recognition, language translation, and sentiment analysis. Customer service-focused industries, such as retail and banking, benefit greatly from NLP capabilities in chatbots and virtual assistants to improve customer interactions. Neural networks are a core element of deep learning, inspired by the biological networks of neurons in the human brain. They are adept at recognizing patterns and making data-driven decisions. Organizations exploring image and speech recognition and complex analysis in finance and research find neural networks particularly beneficial. Virtual agents are AI-powered software applications capable of conducting conversations with human users to resolve issues, provide information, and direct them to appropriate resources without human intervention. High customer interaction models such as telecommunications, e-commerce, and travel services use virtual agents to boost customer satisfaction through 24/7 support and mitigating the need for large customer service teams.

Application: Enhancing & integrating AI capabilities in IT operations to improve automation

Application management refers to the usage of artificial intelligence and machine learning techniques to oversee and improve the efficiency of software applications. It involves the automation of software delivery and operational processes across different platforms and environments. Business process automation (BPA) leverages the principles of IPA to streamline and enhance various internal business processes, such as customer service, data management, and HR. Businesses focus on BPA to cut costs, enhance efficiency, and allow employees to concentrate on high-value tasks. In the realm of intelligent process automation, content management refers to the use of AI to manage digital content efficiently. This includes the creation, storage, and delivery of content and data extraction and classification from unstructured data. In IT operations, IPA plays a significant role in the automation and improvement of routine tasks such as monitoring, maintenance, system updates, and network management. Operations are optimized to preempt issues and rectify them with minimal human intervention. Security has been at the forefront of adopting IPA technologies to protect digital assets. AI-driven security solutions are capable of detecting threats, analyzing behavior patterns, and responding to incidents at a speed and scale beyond human capabilities.

Regional Insights

In the American region encompassing the United States & Canada, the adoption of IPA is driven by a highly competitive business landscape that demands constant innovation and efficiency. Consumer needs are centered around personalized, rapid, and reliable service delivery, which has propelled businesses to invest heavily in IPA solutions. Customer purchasing behavior indicates a strong preference for solutions that promise scalability and integration with existing infrastructure. The European Union's adoption of IPA is structured around its strong regulatory framework, including the General Data Protection Regulation (GDPR), which impacts how businesses approach process automation concerning personal data. European Union countries have a diverse consumer base with high expectations for data security and ethical AI use. Purchasing behavior favors IPA solutions that are compliant with stringent data protection laws. The Middle East shows burgeoning interest with significant investments in smart city initiatives, suggesting a strong market for IPA solutions in sectors such as real estate, banking, and government services. The APAC region is evidenced by its massive investment in AI and related technologies. The market is characterized by consumers who are technology-savvy and open to AI adoption.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Intelligent Process Automation Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Intelligent Process Automation Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Intelligent Process Automation Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Appian Corporation, Atos SE, Blue Prism Group PLC by SS&C Technologies Holdings, Inc., Capgemini SE, CGI Inc., Cognizant Technology Solutions Corporation, DXC Technology Company, ExlService Holdings, Inc., expert.ai S.p.A., Foundever, Genpact LLC, Happiest Minds Technologies, HCL Technologies Limited, Infosys Limited, International Business Machines Corporation, Laiye Technology, Pegasystems Inc., Robocorp, Tata Consultancy Services Limited, Tecala Group, Tech Mahindra Limited, UiPath, Inc., Wipro Limited, and Xerox Holdings Corporation.

Market Segmentation & Coverage

This research report categorizes the Intelligent Process Automation Market to forecast the revenues and analyze trends in each of the following sub-markets:

Technology
- Bots
- Computer Vision
- Machine and Deep Learning
- Natural Language Processing
- Neural Networks
- Virtual Agents

Component
- Services
  - Managed Services
  - Professional Services
    - Advisory/Consulting
    - Design & Implementation
    - Support & Maintenance
    - Training
- Solution
  - Platform
  - Software Tool
Application
- Application Management
- Business Process Automation
- Content Management
- IT Operations
- Security

Vertical
- BFSI
- Healthcare & Life Sciences
- Manufacturing
- Media & Entertainment
- Retail & Ecommerce
- Telecommunications & IT
- Transport & Logistics

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Intelligent Process Automation Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Intelligent Process Automation Market?

3. What are the technology trends and regulatory frameworks in the Intelligent Process Automation Market?

4. What is the market share of the leading vendors in the Intelligent Process Automation Market?

5. Which modes and strategic moves are suitable for entering the Intelligent Process Automation Market?

Product Code: MRR-430D3EB72315

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Growing Selection Pace of Automation Procedure for Changing Work Environment
  - 5.1.1.2. Increasing Strategic Investment by Medium and Small-Sized Firms
  - 5.1.1.3. Growing Popularity of AI and Robotic Process Automation
- 5.1.2. Restraints
  - 5.1.2.1. High Initial Investment and Limited Acceptance from Some Organizations
- 5.1.3. Opportunities
  - 5.1.3.1. Hyperautomation Shaping the Future of Intelligent Process Automation
  - 5.1.3.2. Growing Field of Computer Vision in Intelligent Automation
- 5.1.4. Challenges
  - 5.1.4.1. Unavailability of Skilled Professionals and Security Concerns
5.2. Market Segmentation Analysis
- 5.2.1. Technology: Growing adoption of machine and deep learning for predictive accuracy and modeling capabilities
- 5.2.2. Application: Enhancing & integrating AI capabilities in IT operations to improve automation
5.3. Market Trend Analysis
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter's Five Forces Analysis
- 5.6.1. Threat of New Entrants
- 5.6.2. Threat of Substitutes
- 5.6.3. Bargaining Power of Customers
- 5.6.4. Bargaining Power of Suppliers
- 5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework Analysis
5.9. Client Customization

6. Intelligent Process Automation Market, by Technology

6.1. Introduction
6.2. Bots
6.3. Computer Vision
6.4. Machine and Deep Learning
6.5. Natural Language Processing
6.6. Neural Networks
6.7. Virtual Agents

7. Intelligent Process Automation Market, by Component

7.1. Introduction
7.2. Services
7.3. Solution

8. Intelligent Process Automation Market, by Application

8.1. Introduction
8.2. Application Management
8.3. Business Process Automation
8.4. Content Management
8.5. IT Operations
8.6. Security

9. Intelligent Process Automation Market, by Vertical

9.1. Introduction
9.2. BFSI
9.3. Healthcare & Life Sciences
9.4. Manufacturing
9.5. Media & Entertainment
9.6. Retail & Ecommerce
9.7. Telecommunications & IT
9.8. Transport & Logistics

10. Americas Intelligent Process Automation Market

10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Intelligent Process Automation Market

11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Intelligent Process Automation Market

12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape

13.1. Market Share Analysis, 2023
13.2. FPNV Positioning Matrix, 2023
13.3. Competitive Scenario Analysis
- 13.3.1. Automation Anywhere Launches New Benchmarking Services to Help Companies Maximize the Business Value of AI-Powered Process Automation
- 13.3.2. Tecala acquires intelligent automation group rapidMATION
- 13.3.3. Robocorp and Siili Solutions PLC Announce Partnership to Drive Next-Generation Intelligent Process Automation Solutions

14. Competitive Portfolio

14.1. Key Company Profiles
14.2. Key Product Portfolio