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Ikon vs NICE Robotic Automation comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automation Anywhere
Sponsored
Ranking in Robotic Process Automation (RPA)
2nd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
640
Ranking in other categories
Business Process Management (BPM) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (1st), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
Ikon
Ranking in Robotic Process Automation (RPA)
53rd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Data Integration (81st)
NICE Robotic Automation
Ranking in Robotic Process Automation (RPA)
29th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.5%, down from 10.0% compared to the previous year. The mindshare of Ikon is 0.8%, up from 0.1% compared to the previous year. The mindshare of NICE Robotic Automation is 1.3%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere5.5%
NICE Robotic Automation1.3%
Ikon0.8%
Other92.4%
Robotic Process Automation (RPA)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
Harish G V - PeerSpot reviewer
Senior RPA Developer at a tech vendor with 1,001-5,000 employees
Quicker compared to other bots but not very user-friendly
There is a need for NICE to be more user-friendly. It should be designed in such a way that any developer can easily develop bots. For instance, Power Automate provides a good example of a user-friendly design that NICE can learn from. Moreover, in terms of documentation, there is very little available for NICE, making it challenging to implement the bots. So, documentation should be improved as well. There are a lot of additional features that could be included in NICE. As the NICE Robotic Automation claims, it is a low-code solution, but that is not entirely true. They need to concentrate on the prerequisites and building blocks. There should be more options available internally that are easy to use and well-developed.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
11%
Computer Software Company
7%
No data available
Financial Services Firm
20%
Construction Company
10%
Manufacturing Company
10%
Media Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business154
Midsize Enterprise82
Large Enterprise536
No data available
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise2
Large Enterprise5
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
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Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
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Interactive Demo

Demo not available
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Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
AECOM, Atkins, Al Habtoor Motors, Forrey and Galland
HelpLine, Telefonica Spain, Banca Popolare Di Sondrio
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: June 2026.
900,747 professionals have used our research since 2012.