Global Robotic Process Automation Market

The global robotic process automation market was valued at USD 2.1 Billion in 2021, and it is expected to reach a value of USD 17.43 Billion by 2028, at a CAGR of 35.3% over the forecast period (2022-2028).

With the integration of robotic process automation (RPA) and machine learning, software bots become capable of executing tasks similar to human decision-making capabilities. Moreover, Artificial Intelligence (AI) can support in structuring unstructured information, increase business insights, and progress data integrity through RPA. It is expected that the bot solution will be able to overcome challenges in RPA, such as identifying processes for automation by recording and analyzing keystrokes from the worker's desktop.

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Top Players Company Profiles

Nice Systems Ltd. (Israel)
Automation Anywhere (US)
Blue Prism Group Plc (UK)
Celaton Ltd. (UK)
IPSoftInc. (US)
Pegasystems Inc. (US)
Redwood Software (US)
UiPath SRL (UK)
Verint Systems Inc. (US)

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Global Robotic Process Automation Key Market Trends

Over the forecast period, a shift in company business operations because of the pandemic-induced work-from-home situation is likely to boost the Robotic Process Automation Market growth. The market is expected to evolve because of the integration of cognitive technologies and the transformation of business processes across companies.
Over the forecast period, the Robotic Process Automation Market is expected to be driven by the growing demand to automate redundant processes. Automation enables organizations to implement, execute, and arrange a vast amount of data in less time than a mechanical operation while incurring lower overhead costs.

Recent Developments

In April 2022, Gluware launched RPA to simplify network automation workflow
In February 2022, UltimateSuite Launched Robotic Process Mining for Task Discovery
In March 2021, UiPath acquired API integration platform Cloud Element and extended its customer base.
In March 2021, Automation Anywhere teamed up with Google to help develop a new suite of technologies that can automate essential job responsibilities in businesses.

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