Intelligent Process Automation Market 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): Global Opportunity Analysis and Industry Forecast, 2023-2032
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 StakeholdersThe 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.
Key Market SegmentsBy ComponentSolution
Services
By TechnologyNatural Process Automation
Machine and Deep Learning
Computer Vision
Virtual Agents
Others
By Deployment ModeOn-premises
Cloud
By Organization SizeLarge Enterprises
Small and Medium-sized Enterprises
By Industry VerticalBFSI
Retail
Manufacturing
Healthcare
IT and Telecom
Others
By RegionNorth 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 PlayersIBM Corporation
Capgemini
Accenture
Cognizant
HCL Technologies Limited
Atos SE
Pegasystems
Tech Mahindra Limited
Genpact
Infosys Limited
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