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Introduction

The main RPA vendors are reporting hypergrowth, announcing revenue growth and net new customer acquisition at impressive rates. Yet for many customers, the journey to scaled-up implementations is proving complex, challenging, and frustrating.

Highlights

  • The process of scaling RPA throughout an enterprise will continue to present challenges in 2019. The technology itself does not present problems, but it becomes unwieldy very quickly
  • It's easy to underestimate the effort, complexity, and cost of managing a digital workforce. The speed with which RPA can be set up is misleading. Rigor and formal controls, with the full knowledge and support of IT, must come into play if scale is to be achieved.
  • 2018 saw the birth of the RPA marketplace. Leading RPA vendors Automation Anywhere, Blue Prism, and UiPath all launched marketplaces to encourage and facilitate RPA deployment and maintenance.

Features and Benefits

  • Explores trends emerging in 2018 and predicts likely trends for 2019
  • Identifies the challenges and opportunities for RPA and intelligent automation

Key questions answered

  • Is transformation through automation all about the technology?
  • Is it easy to find the right skillset to put automation in place?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

RPA will continue to be difficult to scale in 2019

  • RPA vendors are reporting hypergrowth
  • 2019 will see more RPA customers, but operationalizing RPA is hard
  • Opportunities could be missed, while simple challenges remain
  • 2019 is when holistic RPA service models will be enhanced

2019 will see investment in RPA marketplaces to ease implementation

  • Digital storefronts with reusable components

Shifts in terminology draw RPA into a wide use of the term AI

  • In 2019 we will see more focus on the interplay between AI and RPA
  • 2019 is the right time to invest in skills for intelligent automation
  • The original realism about the promise of RPA is in danger of being fully subsumed into the hype around AI in 2019

Appendix

  • Methodology
  • Further reading
  • Author

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