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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Internet of Things

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Robotic Process Automation Market To Grow By $750 Million

Robotic Process Automation Market To Grow By $750 Million

The market is still heavily fragmented, with multiple operators offering similar solutions. This fragmentation will decelerate in the next few years.

Written By

Jun 1, 2020

The market for robotic process automation is forecast to grow by 61 percent year-on-year to 2024, according to UK-based market research firm Technavio, adding $750 million in value.

The forecast takes into account the coronavirus pandemic. It offers analysis on the current trends, drivers, and market environment for RPA.

SEE ALSO: Are You Getting the Best Results from RPA?

Almost half of the value generation will originate from North America, which is considered a leader in robotic process automation deployment. The key driver for RPA growth over the next four years will be improved cost savings for businesses.

The market is still heavily fragmented, with multiple operators offering similar solutions. This fragmentation will decelerate in the next few years, according to Technavio, as large vendors acquire smaller and less successful vendors pull out of the market.

Currently, Accenture, Atos, Deloitte, Infosys, and IBM are some of the major participants, all providing similar RPA services to businesses.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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