Market Research Report
Robotic Process Automation - Front-End and Back-End Business Processes for Financial Services & Banking, Utilities & Telecom, Retail & Commercial, Healthcare & Insurance, and Other Industries: Market Analysis and Forecasts
|Published by||Tractica||Product code||532778|
|Published||Content info||64 Pages; 209 Tables, Charts & Figures
Delivery time: 1-2 business days
|Robotic Process Automation - Front-End and Back-End Business Processes for Financial Services & Banking, Utilities & Telecom, Retail & Commercial, Healthcare & Insurance, and Other Industries: Market Analysis and Forecasts|
|Published: July 24, 2017||Content info: 64 Pages; 209 Tables, Charts & Figures||
Robotic process automation (RPA) is a family of technologies designed to replicate human actions in order to complete or task or a series of tasks. Unlike traditional programming constructs, RPA is designed to allow everyday workers to quickly deploy virtual counterparts to learn from and mimic the actions they use to accomplish routine tasks, therefore freeing the worker to handle more complex, and in some cases, more fulfilling work activities. RPA is based on the premise that operational employees should be able to set up, launch, and administer virtual workers, rather than relying on their IT department to implement complex middleware, which can take weeks or months of testing, not to mention the attention of valuable IT workers away from enterprise-wide initiatives and concerns.
New use cases for RPA are being implemented at companies around the world, focused on both back-end processes, such as accounting, billing management, customer onboarding, and validating data, as well as customer-facing, or front-end processes, such as automated customer service management or contract initiation and management. The latter group is increasingly being fueled by the incorporation of artificial intelligence (AI) technologies, such as machine learning, deep learning, and other technology designed to automatically capture, input, and classify unstructured data, then route it to the appropriate enterprise application. These AI-enabled approaches are known collectively as cognitive RPA.
This Tractica report provides an in-depth analysis of the robotic process automation market, including traditional approaches as well as newer cognitive RPA approaches that utilize AI capabilities. The report examines key use cases for RPA, market drivers and barriers, business models, technology issues, and the competitive landscape of companies engaged in the sector. Detailed revenue forecasts are provided for 26 individual use cases, including segmentation by industry and world region.