The tools required for hyper-automation are robotic automatic process (RPA), artificial intelligence, intelligent business management, analytics and other advanced tools, among the above robotic automatic process (RPA) is the core and expands automation capability with artificial intelligence (AI), process mining, analytics, and other advanced tools. The growth of hyper automation market is mainly driven by the ease in business processes with the installation of robotic process automation with artificial intelligence (AI), with the addition of many new features such intelligent business process management software (iBPM), natural language processing (NLP), analytics and other. 

Hyper automation is estimated to have great success in the banking, insurance and financial services sectors as hyper-automation can provide centralized updated data instantly. Hyper-automation improves accuracy and enables chief financial officers (CFO) to have live-data reporting, to reporting risk and enable fast decision using most current data. In manufacturing sector, automobile industry can use hyper automation to verify the components that may need a warranty or replacement. This growing set of applications is set to drive the hyper automation market demand led by BFSI segment which is estimated to grow at 19% CAGR through 2025.

The hyper automation market for North America held the largest market size in 2019 at 39% and is expected to dominate the market during forecasted period. U.S. is the largest market for Banking, financial services and insurance (BFSI) and most of the tasks such as customer service, accounts payable, mortgage processing and others are operated using robotic process automation (RPA). Now with introduction of many advance tools such as artificial intelligence (AI), process mining, analytics, and others with robotic process automation (RPA), hyper automation or advanced robotic automation process can perform many task such as data analyzing, data processing and others without any human intervention. Thus, many regions such as Canada, Mexico and others which have large BFSI sectors using robotic process automation (RPA) are going to be huge market for hyper-automation.

Technological advancements have triggered businesses to overcome new challenges aimed to cope with changing consumer demand and requirements. In recent years, the adoption of automation has captured the attention of many small, medium and large sized enterprises as automation has many benefits such as increase in employee capacity, greater productivity and accurate insights and others which are leading to increase in penetration of automation. Hyper-automation has many benefits such as reduction in errors, reduction in work time for humans and improvement in quality of work. Thus this market is set to witness significant rise in market penetration

Accuracy plays a major part in data extraction process, and human beings have issues in providing  accurate data. Thus, as hyper automation provides accurate data through the use of data mining, machine learning and other processes, this technology is set to witness increased adoption. Data extraction and data accuracy plays a major role in analytics; hyper automation uses extracted data for analyzing and automating the whole process by using robotic process automation. With the use of advanced tools such as artificial intelligence, machine learning and others, hyper automation can not only reduce the risk of human error but also human effort and thus will witness significant rise in adoption.  

As technology is getting updated day-by- day, it is not possible for the many industries to provide proper training to the employees, which is leading to delay in implementation of new technology in various industries. Without being aware of where automation is required in business and following the trend blindly, implementing it would be a disaster. Training plays the major role in implementing advance tools such as artificial intelligence, machine learning, natural language processing and other. However the lack of training among employees provides a major hindrance in the adoption of hyper automation.

The key players in the field of hyper automation market are Google, Amazon, Uipath, Blueprism, automation anywhere, AutomationEdge and others