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Introduction

2020 will be a year of continued growth across the RPA market, but most enterprise RPA implementations will be trials with a handful of bots rather than at-scale deployments.

Highlights

  • Bringing AI to RPA offerings and processes opens the door to front-office automations and takes organizations a step closer to automating processes with unstructured data. Change management will be increasingly critical as RPA permeates the front office.

Features and Benefits

  • Evaluates the RPA market and driving forces expected to impact the space throughout 2020.
  • Provides recommendations for enterprises and RPA vendors alike.

Key questions answered

  • Are enterprises planning to invest in RPA trials, implementations, and scale-outs in 2020?
  • What is the impact of AI on the potential uptake of RPA?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for RPA vendors

Vendors’ goals of enterprise-wide RPA deployments will remain lofty in 2020

  • While vendors report strong growth, revenue bases remain small, and will not reach true scale in 2020
  • Bringing RPA deployments to the front office will be critical to vendors’ RPA at scale initiatives

RPA and AI will come together for intelligent process automation

  • Process automation is beneficial even at its most basic level
  • Bringing AI into the equation opens the door for more processes to be automated

Upskilling and professional services will be critical to RPA adoption in 2020

  • RPA generates fears of job losses
  • Consultancies will be critical to the success of RPA deployments and vendors alike

Appendix

  • Methodology
  • Further reading
  • Author

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