Intelligent Process Automation Market Size was valued at USD 14.4 billion in 2023. The Intelligent Process, Automation market industry is projected to grow from USD 16.2 Billion in 2024 to USD 42.1 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 12.6% during the forecast period (2024 - 2030). Automation is being adopted more widely across sectors, and demand for intelligent automation to enhance business processes is rising are the key market drivers enhancing market growth.
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
RPA technology is used in businesses to automate manual data entry operations, eliminating the need for human labor. A.I. employs neural networks with self-learning networks that take input and utilize that data to analyze prior data models and learn from them to make intelligent judgments. IPA process combines ML, A.I., cognitive learning, and RPA. As a result, the need for IPA rises as RPA does as well. RPA offers quickness and effectiveness. Robots that replicate human behavior can be used to automate labor-intensive manual processes like entering data again from one system to another. Then, considerable intellect and judgment are provided by sAI. To evaluate data in a manner that a person could not, recognize patterns in data, and learn from previous judgments to make increasingly wise conclusions, artificial intelligence (A.I.) is added to automation. By reducing the need for human data input, information validation, and document sorting, IPA helps to reduce the amount of time needed for the underwriting step.
Businesses are compelled to adopt work-from-home policies, which results in significant expenditures in automating operational processes. The market is expanding due to increased application fields, including telemedicine, predictive maintenance, and virtual healthcare management. The majority of non-IT verticals have witnessed increased IPA solution use. According to a poll by Bain, the industrial, healthcare, and life sciences sectors would all see an increase in automation of more than 50%. McKinsey & Co. conducted a global poll of company executives in 2022 and discovered that 66% were testing solutions to automate at least one business function, up from 57% two years prior. Thus, driving the Intelligent Process Automation market revenue.
Intelligent Process Automation Data Type Insights
Based on Data Type, the Intelligent Process Automation Market segmentation includes Structured and Unstructured. The Structured segment dominated the market, accounting for 35% of market revenue. The demand for centralised data storage solutions to manage sensitive information is expected to increase demand for structured data management software. Because of the growing organisational requirement for data processing systems, the market is expected to grow. The use of structured data management software across several sectors is likely to open new revenue opportunities for software providers throughout the forecasted period.
Intelligent Process Automation Component Insights
Based on Components, the Intelligent Process Automation Market segmentation includes Solutions and Services. The solution category, which led the market in 2022, is expected to grow at a CAGR of 16.0% during the forecast period. Customer experience improvement and greater process efficiency are two major advantages of intelligent process automation technologies. For instance, systems that think, learn, and do are only one of the intelligent process automation solutions offered by Cognizant. These technologies allow businesses to drastically reduce the time and money it takes to perform business operations and workflows.
Figure 1 Intelligent Process Automation Market, by Component 2022 & 2030 (USD billion)
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
Intelligent Process Automation Deployment Insights
Based on Deployment, the global Intelligent Process Automation industry has been segmented On-Premise and Cloud. On-Premise held the largest segment share in 2022. The on-premises Deployment includes setting up hardware and software at clients' locations. Compared to the cloud model, it is a more costly model. The conventional method for installing the IPA solution in businesses is on-premises Deployment. The on-premises IPA solution gives businesses complete control over the systems, data, platforms, and applications handled and maintained by their I.T. personnel.
Intelligent Process Automation Technology Insights
Technology has bifurcated the Intelligent Process Automation Market data into Machine Learning, Natural-Language Processing and Cognitive Technology. The Machine Learning segment dominated the market in 2022 and is projected to be the faster-growing segment during the forecast period, 2022-2030. In 2022, the machine learning market category had more than 32% of the market share. The virtual agent market, on the other hand, is anticipated to grow throughout the projected period. The popularity of virtual agents is growing as their use spreads across financial organizations. Financial institutions are increasingly making innovation investments and looking for methods to integrate robotic process automation (RPA) with virtual agents, machine learning, cognitive services, and analytics.
Intelligent Process Automation Organization Size Insights
Organization Size has bifurcated the Intelligent Process Automation Market data into SMEs and Large Enterprises. The SMEs segment dominated the market in 2022 and is projected to be the faster-growing segment during the forecast period, 2022-2030. Via the United States Agency for International Development, the U.S. Government initiated a digital transformation effort for 200 Micro, Small, and Medium-sized Businesses (MSMEs) in the manufacturing, agricultural, and metalworking sectors (USAID). Businesses can update their manufacturing and marketing with this initiative, opening up new channels for electronic commerce and digital marketing.
Intelligent Process Automation Regional Insights
By Region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North American Intelligent Process, Automation market area will dominate this market. Regional development is being fueled by increased enterprise use of process management and automation solutions in the United States. The primary drivers of segmental development are increased expenditure on corporate operations optimization and the widespread adoption of cutting-edge technologies like A.I., machine learning, and RPA. Also, significant suppliers in the area would promote growth.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the U.K., Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 2 INTELLIGENT PROCESS AUTOMATION MARKET SHARE BY REGION 2022 (%)
In 2022, Europe Intelligent Process Automation market held a share of more than 31%. The European BFSI industry is anticipated to embrace intelligent process automation technologies to improve banking procedures. Businesses with operations in Europe and Asia, like A.S. Watson Group, are concentrating on deploying Natural Language Processing capabilities for precise demand management and sales forecasting. Large-scale automation may contribute to considerable cost reductions in various industrial industries. Forklift truck drivers and industrial employees in Europe are among the job prospects PepsiCo screens and interviews using cutting-edge robotic technologies. Further, the German Intelligent Process Automation market held the largest market share, and the U.K. Intelligent Process Automation market was the fastest-growing market in the European Region.
Asia Pacific Intelligent Process Automation market is anticipated to grow at the quickest CAGR throughout the projection period. Due to the rise in online transactions in the two nations, the BFSI industry in China and India is expanding. The need for intelligent process automation solutions and services is further boosted by growing knowledge of automation, machine learning, and artificial intelligence. The primary drivers of regional market growth include globalization, economic development, digitization, and greater usage of cloud-based technologies. Moreover, China’s Intelligent Process Automation market held the largest market share, and the Indian Intelligent Process Automation market was the fastest-growing market in the Asia-Pacific region.
Leading market companies are making significant investments in R&D to broaden their product offerings, which will spur further expansion of the Intelligent Process Automation products market. Important market developments include new product releases, contractual agreements, mergers and acquisitions, greater investments, and collaboration with other organizations. Market participants also engage in several strategic actions to increase their worldwide presence. The Intelligent Process Automation industry market must offer products at reasonable prices to grow and thrive in a more cutthroat and competitive environment.
One of the primary business strategies manufacturers employs worldwide for the Intelligent Process Automation industry to benefit customers and expand the market sector is local manufacturing to reduce operating costs. Some of the biggest benefits to medicine in recent years have come from the Intelligent Process Automation industry. Major players in the Intelligent Process Automation market, including UiPath Inc. (U.S.), Dell EMC Corp. (U.S.), SAP SE (Germany), Blue Prism Group (U.K.), Salesforce.com Inc. (U.S.), IBM Corporation (US., and others, are attempting to increase market demand by investing in research and development operations.
The Brazilian RPA software vendor WDG Soluçes Em Sistemas E Automaço De Processos LTDA (also known as WDG Automation) and IBM announced on July 8, 2021, that a formal agreement had been achieved. This purchase will improve IBM's AI-infused automation capabilities, which span business processes and I.T. operations. It will be easier for executives like chief operating officers and chief information officers to access intelligent automation solutions utilizing software robots thanks to integrating WDG Automation's RPA offerings into IBM's existing automation capabilities, which are already infused with A.I. and cover both business processes and I.T. operations.
Hindustan Computers Limited, now HCL Technologies Ltd, is a global Indian information technology (I.T.) services and consulting firm headquartered in Noida. HCL Technologies said in September 2021 that DRYiCE iAutomate was now accessible through Google Cloud Marketplace.
Simplifai, known for its AI automation solutions, will release Simplifai InsuranceGPT in 2023. According to the business, this is the first unique GPT tool created especially for the insurance industry. Simplifai's no-code AI-powered platform gave birth to this ground-breaking offering, strengthening its extensive business process automation capabilities.
In order to expedite the adoption of AI and make it available to every company, Automation Anywhere and Google Cloud today announced an expanded relationship that will take advantage of generative AI and intelligent automation. This agreement will go into effect in 2023. Vertex AI, a subsidiary of Automation Anywhere, is utilising Google Cloud's large language models (LLMs) to create and introduce fresh creative AI capabilities on the Automation Success Platform.
The launch of four new products for the metal manufacturing industries was announced by alfaTKG in 2023 at the IIT Madras Research Park. alfaTKG is a pioneer in offering Smart Manufacturing and Digital Transformation (DX) solutions for Sheet Metal Manufacturing Industries. At a spectacular ceremony conducted at the alfaTKG Integrated Solutions India centre in IIT Madras Research Park, Toshio Takagi, CEO of alfaTKG, officially unveiled the items.
ServiceNow will introduce new generative AI capabilities for the Now Platform in 2023 for a quicker, smarter workflow automation. With built-in capabilities for enterprise applications, new generative AI solutions extend ServiceNow's existing substantial AI functionality, resulting in higher productivity, enormous efficiency gains, and a quicker time to value. The enhanced strategic alliance between ServiceNow and Microsoft has made it possible to integrate the Now Platform with the Microsoft Azure OpenAI Service.
At its SS&C Deliver Conference today, SS&C Technologies Holdings, Inc. (Nasdaq: SSNC) stated that its intelligent automation portfolio would be launched under the SS&C Blue Prism brand in 2022. RPA, BPM, and low- and no-code capabilities are combined by SS&C Blue Prism to offer a wide range of intelligent automation (IA) services.
Intelligent Process Automation Data Type Outlook
Intelligent Process Automation Component Outlook
Intelligent Process Automation Deployment Outlook
Intelligent Process Automation Technology Outlook
Intelligent Process Automation Organization Size Outlook
Intelligent Process Automation Regional Outlook
North America
Europe
Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
| Report Attribute/Metric | Details |
| Market Size 2022 | USD 14.4 billion |
| Market Size 2023 | USD 16.2 billion |
| Market Size 2030 | USD 42.1 billion |
| Compound Annual Growth Rate (CAGR) | 12.68% (2024-2030) |
| Base Year | 2023 |
| Market Forecast Period | 2024-2030 |
| Historical Data | 2019- 2021 |
| Market Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Data Type, Component, Technology, Deployment, Organization size, and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and the Rest of the World |
| Countries Covered | The U.S., Canada, German, France, the U.K., Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled | Â UiPath Inc. (U.S.), Dell EMC Corp. (U.S.), SAP SE (Germany), Blue Prism Group (U.K.), Salesforce.com Inc. (U.S.), IBM Corporation (U.S.), |
| Key Market Opportunities | IPA mimics human activity and, with time, develops the ability to do so more effectively. |
| Key Market Dynamics | Most major industry participants consistently release novel items on the market to meet the growing demand. |
Intelligent Process Automation Market Highlights:
Frequently Asked Questions (FAQ) :
The Intelligent Process Automation Market size was valued at USD 14.4 Billion in 2023.
The Intelligent Process Automation Market is projected to grow at a CAGR of 12.6% during the forecast period, 2024-2030.
North America had the largest share in the Intelligent Process Automation Market.
The key players in the market are UiPath Inc. (U.S.), Dell EMC Corp. (U.S.), SAP SE (Germany), Blue Prism Group (U.K.), Salesforce.com Inc. (U.S.), IBM Corporation (U.S.),
The Solutions Intelligent Process Automation category dominated the market in 2023.
The SMEs had the largest share in the Intelligent Process Automation Market.
Research Analyst Level II With a technical background in information technology & semiconductors, shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. he is the poc for our clients, for their consulting projects running under the ict/semiconductor domain. shubham holds a bachelor’s in information and technology and a master of business administration (mba). shubham has executed over 150 research projects for our clients under the brand name market research future in the last 2 years. his core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. he is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. he has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. he has worked on the projects of top tech brands such as ibm, google, microsoft, aws, meta, oracle, cisco systems, samsung, accenture, vmware, schneider electric, dell, hp, ericsson, and so many others. he has worked on metaverse, web 3.0, zero-trust security, cyber-security, blockchain, quantum computing, robotics, 5g technology, high-performance computing, data centers, ai, automation, it equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.
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