Intelligent Process Automation
Intelligent Process Automation Market by Technology (Bots, Computer Vision, Machine and Deep Learning), Component (Services, Solution), Application, Vertical - Global Forecast 2024-2030
360iResearch Analyst
SPEAK TO ANALYST? OR FACE-TO-FACE MEETING?
Want to know more about the intelligent process automation market or any specific requirement? Ketan helps you find what you're looking for.
DOWNLOAD A FREE PDF
This free PDF includes market data points, ranging from trend analysis to market estimates & forecasts. See for yourself.

[192 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 Market
To learn more about this report, request a free PDF copy

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.

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.

Market Dynamics

The market dynamics represent an ever-changing landscape of the Intelligent Process Automation Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

  • Market Drivers
    • Growing Selection Pace of Automation Procedure for Changing Work Environment
    • Increasing Strategic Investment by Medium and Small-Sized Firms
    • Growing Popularity of AI and Robotic Process Automation
  • Market Restraints
    • High Initial Investment and Limited Acceptance from Some Organizations
  • Market Opportunities
    • Hyperautomation Shaping the Future of Intelligent Process Automation
    • Growing Field of Computer Vision in Intelligent Automation
  • Market Challenges
    • Unavailability of Skilled Professionals and Security Concerns
Market Segmentation Analysis
  • 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.

Market Disruption Analysis

The market disruption analysis delves into the core elements associated with market-influencing changes, including breakthrough technological advancements that introduce novel features, integration capabilities, regulatory shifts that could drive or restrain market growth, and the emergence of innovative market players challenging traditional paradigms. This analysis facilitates a competitive advantage by preparing players in the Intelligent Process Automation Market to pre-emptively adapt to these market-influencing changes, enhances risk management by early identification of threats, informs calculated investment decisions, and drives innovation toward areas with the highest demand in the Intelligent Process Automation Market.

Porter’s Five Forces Analysis

The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Intelligent Process Automation Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.

Value Chain & Critical Path Analysis

The value chain of the Intelligent Process Automation Market encompasses all intermediate value addition activities, including raw materials used, product inception, and final delivery, aiding in identifying competitive advantages and improvement areas. Critical path analysis of the <> market identifies task sequences crucial for timely project completion, aiding resource allocation and bottleneck identification. Value chain and critical path analysis methods optimize efficiency, improve quality, enhance competitiveness, and increase profitability. Value chain analysis targets production inefficiencies, and critical path analysis ensures project timeliness. These analyses facilitate businesses in making informed decisions, responding to market demands swiftly, and achieving sustainable growth by optimizing operations and maximizing resource utilization.

Pricing Analysis

The pricing analysis comprehensively evaluates how a product or service is priced within the Intelligent Process Automation Market. This evaluation encompasses various factors that impact the price of a product, including production costs, competition, demand, customer value perception, and changing margins. An essential aspect of this analysis is understanding price elasticity, which measures how sensitive the market for a product is to its price change. It provides insight into competitive pricing strategies, enabling businesses to position their products advantageously in the Intelligent Process Automation Market.

Technology Analysis

The technology analysis involves evaluating the current and emerging technologies relevant to a specific industry or market. This analysis includes breakthrough trends across the value chain that directly define the future course of long-term profitability and overall advancement in the Intelligent Process Automation Market.

Patent Analysis

The patent analysis involves evaluating patent filing trends, assessing patent ownership, analyzing the legal status and compliance, and collecting competitive intelligence from patents within the Intelligent Process Automation Market and its parent industry. Analyzing the ownership of patents, assessing their legal status, and interpreting the patents to gather insights into competitors' technology strategies assist businesses in strategizing and optimizing product positioning and investment decisions.

Trade Analysis

The trade analysis of the Intelligent Process Automation Market explores the complex interplay of import and export activities, emphasizing the critical role played by key trading nations. This analysis identifies geographical discrepancies in trade flows, offering a deep insight into regional disparities to identify geographic areas suitable for market expansion. A detailed analysis of the regulatory landscape focuses on tariffs, taxes, and customs procedures that significantly determine international trade flows. This analysis is crucial for understanding the overarching legal framework that businesses must navigate.

Regulatory Framework Analysis

The regulatory framework analysis for the Intelligent Process Automation Market is essential for ensuring legal compliance, managing risks, shaping business strategies, fostering innovation, protecting consumers, accessing markets, maintaining reputation, and managing stakeholder relations. Regulatory frameworks shape business strategies and expansion initiatives, guiding informed decision-making processes. Furthermore, this analysis uncovers avenues for innovation within existing regulations or by advocating for regulatory changes to foster innovation.

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Intelligent Process Automation Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment 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, namely 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 assessment of the current state of vendors in the Intelligent Process Automation Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. 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 these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments
  • Automation Anywhere Launches New Benchmarking Services to Help Companies Maximize the Business Value of AI-Powered Process Automation

    Automation Anywhere has unveiled a pioneering suite of benchmarking services, accompanied by an innovative customer benchmarking database, to enhance the efficiency of process automation across enterprises. The offerings encompass a "Return on Automation Value Assessment," facilitating tailored industry analyses, a "Process Benchmarking Diagnostic" to highlight performance gaps, and a comprehensive "Process Transformation Roadmap" for strategic automation advancement. [Published On: 2024-01-11]

  • Tecala acquires intelligent automation group rapidMATION

    Tecala, a technology services firm based in Sydney, has strategically expanded its operations by acquiring intelligent automation specialists rapidMATION. rapidMATION is known for its expertise in process mapping, digital and rapid process automation, and automated document processing. This move paved the way for Tecala to launch a dedicated new division, 'ADA, ' symbolizing their focus on automation, data, and artificial intelligence. [Published On: 2023-09-27]

  • Robocorp and Siili Solutions PLC Announce Partnership to Drive Next-Generation Intelligent Process Automation Solutions

    Robocorp, a company in Intelligent Process Automation (IPA), has announced a strategic partnership with Siili Solutions PLC, a comprehensive digital service developer, to enhance the field of open-source automation. This collaboration unites Robocorp's groundbreaking technology with Siili's development expertise to provide customers with the advanced tools necessary for their transition to next-level intelligent process automation. [Published On: 2023-06-19]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Intelligent Process Automation Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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.

Intelligent Process Automation Market - Global Forecast 2024-2030
To learn more about this report, request a free PDF copy
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

This research report offers invaluable insights into various crucial aspects of the Intelligent Process Automation Market:

  1. Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
  2. Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
  3. Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
  4. Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
  5. Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current market size and projected growth?
  2. Which products, segments, applications, and regions offer promising investment opportunities?
  3. What are the prevailing technology trends and regulatory frameworks?
  4. What is the market share and positioning of the leading vendors?
  5. What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?

Table of Contents
  1. Preface
  2. Research Methodology
  3. Executive Summary
  4. Market Overview
  5. Market Insights
  6. Intelligent Process Automation Market, by Technology
  7. Intelligent Process Automation Market, by Component
  8. Intelligent Process Automation Market, by Application
  9. Intelligent Process Automation Market, by Vertical
  10. Americas Intelligent Process Automation Market
  11. Asia-Pacific Intelligent Process Automation Market
  12. Europe, Middle East & Africa Intelligent Process Automation Market
  13. Competitive Landscape
  14. Competitive Portfolio
  15. List of Figures [Total: 24]
  16. List of Tables [Total: 660]
  17. List of Companies Mentioned [Total: 25]
How Intelligent Process Automation is Driving Strategic Investment by Medium and Small-Sized Firms
November 17, 2023
BLOG
How Intelligent Process Automation is Driving Strategic Investment by Medium and Small-Sized Firms
Over the years, technology has made our work easier, more accurate, and more efficient. Intelligent Process Automation (IPA) is a revolutionary technology transforming how businesses operate and has become increasingly popular among medium and small-sized firms.

Firstly, IPA is significantly reducing operational costs for businesses. IPA combines technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML) to automate manual and repetitive business processes. This automation reduces the workload and saves time, leading to cost reduction. Businesses can focus on the major aspects of their operations and utilize their resources efficiently and effectively.

Secondly, IPA offers faster and higher-quality output. With automation, IPA can enhance business processes by enabling tasks to be executed faster and more accurately. This results in higher-quality output. ML and AI allow for real-time decision-making, encouraging proactive instead of reactive measures in business operations.

Thirdly, IPA ensures regulatory compliance and minimizes errors. IPA can reduce human errors in repetitive tasks that could lead to non-compliance, fines, and legal actions. Businesses can leverage IPA to minimize the risks associated with compliance. Using IPA can also allow internal auditors to detect any discrepancies or anomalies in financial statements and make recommendations for improvement.

Fourthly, IPA enhances customer service levels. Customer service quality can be improved with minimal human intervention. With IPA, businesses can respond automatically to customer queries, reducing response times and service backlogs. Furthermore, IPA can provide 24/7 customer service operations, which can be achieved by automating repetitive tasks.

Lastly, IPA offers a competitive advantage to companies. With IPA, businesses can reduce operational costs and enhance their process efficiency, allowing them to stay ahead of their competitors. The implementation of IPA technology further improves work quality and customer satisfaction, which can increase customer loyalty and retention. Businesses that implement IPA will remain competitive and secure more business opportunities.

Intelligent Process Automation is driving strategic investment by medium and small-sized firms. Implementing IPA technology will minimize operational costs, maximize ROI, enhance customer service levels, ensure regulatory compliance, and provide a competitive advantage for businesses. IPA is an essential investment for the growth and sustainability of businesses in this digital age. It is safe to say that IPA is the future of business automation.

Frequently Asked Questions
  1. How big is the Intelligent Process Automation Market?
    Ans. The Global Intelligent Process Automation Market size was estimated at USD 13.46 billion in 2023 and expected to reach USD 15.54 billion in 2024.
  2. What is the Intelligent Process Automation Market growth?
    Ans. The Global Intelligent Process Automation Market to grow USD 37.23 billion by 2030, at a CAGR of 15.63%
  3. When do I get the report?
    Ans. Most reports are fulfilled immediately. In some cases, it could take up to 2 business days.
  4. In what format does this report get delivered to me?
    Ans. We will send you an email with login credentials to access the report. You will also be able to download the pdf and excel.
  5. How long has 360iResearch been around?
    Ans. We are approaching our 7th anniversary in 2024!
  6. What if I have a question about your reports?
    Ans. Call us, email us, or chat with us! We encourage your questions and feedback. We have a research concierge team available and included in every purchase to help our customers find the research they need-when they need it.
  7. Can I share this report with my team?
    Ans. Absolutely yes, with the purchase of additional user licenses.
  8. Can I use your research in my presentation?
    Ans. Absolutely yes, so long as the 360iResearch cited correctly.