The global hyper-automation market is estimated to reach USD 32.23 billion by 2030, growing at a CAGR of 18.4% during the forecast period 2022-20230. It was valued at USD 6.9 billion in 2022.
Growing demand for robotic process automation technology in various industries, significant artificial intelligence developments, and improvements in biometric identification technology are the key factors driving the growth of the hyper-automation market. Moreover, the digitization and automation of manufacturing processes, Hyper automation software analyses the data and selects the respective course of action, and Hyper automation has increased flexibility in operation, improved productivity and time-consuming task, improved the return on investment (ROI) on time and with high accuracy, which are factors to expected to drive the market growth.
Hyper-Automation is end-to-end automation within an organization made possible by integrating multiple technologies such as machine learning, artificial intelligence, cloud computing, robotic process automation, and edge computing. that run without human intervention. Hyper-automation simplifies workflows and increases the manufacturing process’s efficiency with little human intervention. Integrating digitization or artificial intelligence with robotic process automation technology into a single system or process is known as hyper-automation.
Growing demand for hyper-automation solutions in developing economies due to the transformation of traditional manufacturing industries into fully automated smart manufacturing industries is anticipated to drive the growth of the hyper-automation market. Moreover, Companies are an investment in technology as they need to effectively execute IT resources and expand the efficiency of data storage surges. Hyper automation significantly reduces manual work and decreases labour costs. Labour costs are one of the organization’s highest costs in maintaining and managing IT assets.
Increasing adoption of artificial intelligence and remote process automation technologies in various industries for greater automation increased return of investment, and accuracy in various industries are opportunities in the market. Hyper automation increases revenue and reduces costs. With analytical tools and capabilities, organizations can optimize the deployment of their resources. The technologies helped to the flexibility in operation and improved productivity. Industries are integrated digital technologies across their processes for enhancing their operational efficiency. Hyper-automation has intensely increased data generation by integrating ML, AI and RPA technologies.
Professional exertions and specific training are essential in deploying advanced equipment, including natural language processing, artificial intelligence, and machine learning. A lack of specific training can also stymie industrial progress. However, artificial intelligence, the availability of reliable data for decision-making, choosing the right equipment, and huge systems maintenance are major factors that are projected to impact the global hyper-automation market negatively.
Before the covid-19 pandemic, due to the rapid adoption of automated manufacturing processes by several industries such as pharmaceutical BESI, retail, and others growth in the global hyper-automation market. The growing adoption of various techniques such as remote presses automation, artificial intelligence chatbots, and natural language generation to reduce the operational cost and raise productivity in the industries create various opportunities in the market. The industries using the hyper-automation solution for the minizine production cycle are the factor that helps to grow the market before the covid pandemic.
The Covid-19 pandemic is anticipated to reasonably affect the worldwide hyper-automation market for a short period. Due to the shutdown lockdown, the industries are likely to resist investment in innovative technology owing to the anticipated economic depression worldwide. Hyper automation needs enormous primary capital investment, and due to the economic depression in a pandemic, it is expected that investors will be skeptical about new investment for the Covid-19 pandemic period.
The covid19 pandemic can accelerate the digitization, automation and improvement of artificial intelligence in the automotive industry in the post-covid period. In these situations, automation and robotics could minimize dependence on human work while growing productivity, reducing the possibility of further shutdowns. In addition, IoT, AI and digitalization will become more and more important in the future, positively impacting the global hyper-automation market in the forecast year.
Based on the technology, the global hyper-automation market is segregated into robotic process automation, biometrics, artificial intelligence, machine learning, chatbots, and natural language generation. The robotic process automation segment is projected to have the largest market share in the hyper-automation market. Robotic process automation comprises robotic software that accomplishes repetitive functions. Robotic process automation is a fundamental part that enables hyper-automation in various applications. Robotic process automation offers the benefits of the speeding-up process for allowing hyper automation and expediting it for executing tasks better.
Based on the industry verticals, the hyper-automation market is categorized into manufacturing, automation, healthcare, BESI, retail, and others. The manufacturing segment held a significant market share in 2021. However, the hybrid cloud is expected to grow and gain the largest market revenue by 2030. The segment growth is due to several manufacturing industries are implementing hyper-automation to reduce operational expenditure and expand overall manufacturing process efficiency. Several manufacturing industries are revolving to Hyper Automation to streamline operations across the supply chain better.
Based on the regional segmental analysis, the global hyper-automation market is categorized into North America, Europe, Asia Pacific, South America, and The Middle East & Africa. The Asia Pacific accounts for the maximum market share over the forecast period. With the growing adaptation of traditional manufacturing industries into automated industry’s execution of solutions, there is a significant reduction in energy consumption of the plant and increasing adoption of artificial intelligence, machine learning, and robotic process automation within enterprises.
Companies include Automation Anywhere Inc., Allerin Tech Pvt. Ltd., Appian, Catalytic Inc., UiPath, SolveXia, OneGlobe LLC, Mitsubishi Electric Corporation, Infosys Limited, Tata Consultancy Service Ltd., Wipro Ltd., Others Prominent Players in the global hyper-automation market.
Key Stakeholders
| Report Attribute | Details |
|---|---|
| Market Size Value in 2021 | USD 891 million |
| The revenue forecast in 2028 | USD 2.23 Billion |
| Growth Rate | CAGR of 18.4% from 2022 to 2028 |
| Historical data | 2018 – 2021 |
| Base Year | 2021 |
| Forecast period | 2022 – 2028 |
| Region covered | North America, Europe, Asia-Pacific, South America, and Middle East & Africa |
| Key companies Profiled | Automation Anywhere Inc., Allerin Tech Pvt. Ltd., Appian, Catalytic Inc., UiPath, SolveXia, OneGlobe LLC, Mitsubishi Electric Corporation, Infosys Limited, Tata Consultancy Service Ltd., Wipro Ltd., Others Prominent Players. |
By Technology
By Industry Verticals
By Region
Hyper-Automation is an extension of business process automation that transcends the boundaries of individual processes. Organizations that employ hyper-automation aim to streamline processes throughout their business using artificial intelligence, robotic process automation, and other technologies that run without human intervention.
The global hyper-automation market is estimated to reach USD 32.23 billion by 2030, growing at a CAGR of 18.4% during the forecast period 2022-20230. It was valued at USD 6.9 billion in 2022.
Companies include Automation Anywhere Inc., Allerin Tech Pvt. Ltd., Appian, Catalytic Inc., UiPath, SolveXia, OneGlobe LLC, Mitsubishi Electric Corporation, Infosys Limited, Tata Consultancy Service Ltd., Wipro Ltd., Others prominent players in the hyper-automation market.
The Asia Pacific region is expected to have the largest share in the global hyper-automation market.
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