USD 11.95 billion
Report ID:
SQMIG45F2107 |
Region:
Global |
Published Date: July, 2024
Pages:
250
|Tables:
121
|Figures:
77
Global Intelligent Process Automation Market size was valued at USD 13.2 Billion in 2022 and is poised to grow from USD 15 Billion in 2023 to USD 41.59 Billion by 2031, growing at a CAGR of 13.6 % in the forecast period (2024-2031).
Higher technological infiltration in various industrial sectors and the rising need to increase the productivity of corporate operations are anticipated to drive the market. Using agile processes and smart technologies, intelligent process automation solutions enable users to take faster and wiser decisions. These solutions tend to keep a check on monitor and control interfaces to eliminate bottlenecks from workflow systems, thereby driving intelligent decisions. This aspect is predicted to drive the market over the next few years. Automation is changing the nature of back-office business operations and customer-facing processes alike. The increasing demand for automation-led transformation projects augmented by a digital workforce is the primary driving force for market growth. Automation is evolving through technological advancements in areas such as artificial intelligence and robotic process automation. Productivity, operational effectiveness, and creating new revenue-generating opportunities are the top three objectives of implementation. Since IPA deals with the display layer of information systems, it doesn't require a huge investment in infrastructure. Hence, more and more businesses focus on implementing automation services and solutions. Businesses are focusing on implementing automation in such a way that it enhances customer happiness along with functional improvement. Besides, quality improvement is one of the core drivers for most process automation projects.
Global Market Size
USD 11.95 billion
Largest Segment
Service
Fastest Growth
Solution
Growth Rate
13.8% CAGR
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The Global Intelligent Process Automation Market is segmented into component, technology, vertical, and region. By component, the market is bifurcated into solutions and services. Depending on technology, it is classified into NLP and Virtual Agents. According to vertical, the market is categorized into BFSI, Retail & E-Commerce, and IT & Telecommunication. Region wise, it is analyzed across North America, Europe, Latin America, Middle East & Africa, and Asia-Pacific.
Analysis By Component
The solution segment accounted for the largest share and is anticipated to witness a healthy CAGR of 16.0% during the forecast period. The significant growth of the segment can be attributed to the growing implementation of intelligent process automation solutions across different industries. Key benefits of such technologies include improved customer experience and enhanced operational effectiveness. For instance, Cognizant offers advanced intelligent process automation solutions, such as systems capable of acting, learning, and reasoning. The application of such advanced solutions could significantly cut down process times and operational costs for the execution of workflows and business operations. Automation solutions further heighten overall performance and competitiveness by smoothening operations and leading to a more responsive and agile corporate environment.
The services segment is the fastest-growing in the intelligent process automation market. Businesses globally are slowly adopting intelligent process automation services to cut operating costs without compromising, or even enhance the efficiency of their business processes. The leading companies, such as Cognizant, are fostering this change by offering end-to-end advisory and consulting services to clients in developing outcome-driven automation strategies. These services include pinpointing those processes that have a high potential return on investment and advising on the most viable automation strategies. The services help organizations achieve realistic goals and expectations by focusing on structured approaches and correct return on investment calculations. This, in turn, enables organizations to improve their operational efficiency and ease of performance and take on automation in a more strategic sense, befitting their overall corporate goals.
Analysis By Technology
Machine learning is leading the Intelligent Process Automation market. As machine learning has a crucial role in automating difficult operations and improving decision-making processes in a variety of industries, it holds a significant share. Its leading position is since it can examine large volumes of data, recognize trends, and provide forecasts that have their predictions closer to reality. ML applications, such as anomaly detection, customized recommendations, and predictive analytics, represent huge savings operationally and provide strategic insights. Machine learning is the dominant force in the IPA world because, with the ability to evolve and adapt, businesses look to leverage data for a competitive advantage.
Among other technologies within the IPA space, NLP is the fastest-growing. Growing demands in industries associated with banking, healthcare, and customer service have raised demands for both text- and speech-based systems. NLP is expected to drive business productivity by automating language-based processes, including sentiment analysis, document processing, and real-time translation. It can offer businesses improved relations with their customers and smooth internal processes because it can understand and generate human language. With increasing digital transformation and consumer interaction, the pace of utilizing NLP-driven solutions is growing, and so is significant growth in this area of the IPA market.
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The market is predicted to remain dominated by North America during the forecast period. This domination is owing to the large-scale usage of process management and automation technologies in various industries of American companies. Companies present in this region are gradually adopting innovative technologies such as robotic process automation, machine learning, and artificial intelligence so that advanced business processes can be forwarded. This huge investment in these technologies shows that the focus has been deliberate to promote innovation and operational efficiency. In addition, the existence of big-time technology suppliers and solution providers in North America helps boost the regional expansion. Their continuous innovations and products assist in maintaining North America at the top within the IPA industry.
Europe, in 2023, accounted for over a 31% market share and witnessed high developments within the intelligent process automation segment. Gradually, the adoption of such technologies is being done by European BFSI to make the banking processes efficient as well as smooth. For forecasting sales with precision and managing demand, companies such as A.S. Watson Group use NLP. Further, PepshiCos automates hiring processes, such as candidate screening and interviews, through advanced robotic software. These kinds of instances prove that Europe is concerned with automation for cost efficiency and operational advantages in diverse industries. Thus, the European market is anticipated to lead the market during the forecast period.
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Drivers
Operational Efficiency-Growing Demand
Operational efficiency demanded by various industries across the globe is one of the major reasons contributing towards the growth of the IPA market. Since there is a growing demand, businesses are increasingly looking for ways to enhance productivity with the help of automation solutions to minimize human intervention and accelerate the processes of operations. Business entities can automate cumbersome and repetitive operations with the help of intelligent automation technologies including ML and RPA. Business entities can reduce costs significantly by incorporating these technologies into their operation, gaining operational benefits. In this way, companies can improve their service quality by reducing errors and speeding up the pace of their turnarounds, marking their market adoptions and further dissemination.
Machine Learning and AI: Emerging Trends
The major drivers in the IPA market include rapid developments in machine learning and artificial intelligence. With the advancement of these technologies, automation solutions have become more intelligent and adaptive. AI-powered systems can analyze large volumes of data on their own, can spot patterns, and make judgments with little human help. Continuously learning from new data, the machine learning algorithms improve with time, hence making predictions and auto-responses more accurate. It is these advancements that result in advanced and efficient automation systems, which, in turn, have been driving their increased adoption in a wide array of industries.
Restraints
Exorbitant Implementation Costs
One of the major factors hindering the growth of the intelligent process automation market is the high implementation cost. Advanced automation technologies, such as AI and ML, in many cases require huge investments in hardware, software, and human resources. In the case of SMEs, huge investment in the initial setup and even maintenance and updates become a huge overhead amount. In addition, costs will further rise because of the challenge of integrating new and innovative systems with existing infrastructure. Financial constraints are thus predicted to restrain firms' enthusiasm for automating processes using technologies; hence affecting market growth.
Data Security and Privacy Concerns
Data security and privacy-related problems are thus the major obstacle in the path of the intelligent process automation market. Automation systems are always a luring target for cyber-attacks as often private and sensitive data are processed via automation systems. While challenging, priority should be given to ensuring sound security measures and compliance with data protection laws, including GDPR. Businesses should invest in advanced security procedures and processes that can prevent security breaches and retain the confidence of their clients. Automation's advantages which might accrue will have to be weighed against the risks related to data security and privacy. With such concerns, it may be difficult to employ the technology of automation on the part of those businesses that balance potential advantages against such risks.
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Competition in the Intelligent Process Automation market consists of various significant players, including specialists such as Blue Prism and Pega Systems, and broad technology suppliers such as IBM, UiPath, and Automation Anywhere. These companies compete by customer services, functionality of their products, and technology development. Companies that try to enhance their technological competencies and commercial coverage take part in strategic alliances, mergers, and acquisitions.
Intelligent Process Automation Market Top Player’s Company Profiles
Intelligent Process Automation Market Recent Development
Intelligent process automation, the type of technology involving applications. Its software is designed in a way to be endowed with added capabilities such as artificial intelligence and other developing technologies including but not limited to computer vision, cognitive automation, and machine learning of high volume- repetitive tasks. It contributes a lot to simplifying the business operations by eliminating all the monotonous, repeatable, and routine tasks. It enhances customer satisfaction by better facilitation of customer interactions and faster response times.
This IPA enhances process responsiveness and efficiency while allowing the finishing of work rapidly and at a higher level. This in turn increases customer satisfaction and raises the productivity of workers while reducing operational risk. The design of a new generation in hardware and software with the aim of automation of industrial operations was aided by many factors including improvements on machine learning techniques and sensors, along with enhanced power in processing.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest Analysis, IPA allows meaningful insights from a volume of cases that would be unmanageable by humans. Thus, decision-making is enhanced, leading to better processes and outputs. Automation means less risk of human error and more reliability, reducing associated risks with poor choices. When machine learning is added to analytics, the predictive powers are enhanced, thus allowing proactive rather than reactive strategies. It is this predictive power that grants organizations the capability to foresee trends, estimate and avert risks, and grasp opportunities at the earliest. The rapidly increasing integration of machine learning and advanced analytics is driving the shape of the market for intelligence process automation. This creates an environment where companies leverage data-driven intelligence to enhance their operations and create new products for competitive advantage, thus driving industry growth in the cloud local technologies.
Report Metric | Details | ||
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Market size value in 2022 | USD Market size value in 2031 | USD Growth Rate | 13.6% |
Base year | 2023 | ||
Forecast period | 2024-2031 | ||
Forecast Unit (Value) | USD Class="NormalTextRun | ||
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) | ||
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Intelligent Process Automation Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Intelligent Process Automation Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Intelligent Process Automation Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Intelligent Process Automation Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Report ID: SQMIG45F2107
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