This RadarView addresses the need for enterprises to adopt intelligent process mining platforms to enable data-driven digital transformation in business workflows. It covers key trends shaping the market and the top bets made by process mining platform providers.
The report features detailed RadarView profiles of the 13 platform providers, along with their solutions, offerings, and experience in assisting enterprises in their process mining journeys. It also demonstrates how providers are focusing on building innovative features in their offerings. Each profile provides an overview of the platform provider, its products and modules, and a list of clients and partnerships, along with brief client case studies. Each profile concludes with analyst insights on the provider’s product maturity, enterprise adaptability, and future readiness.
An increase in enterprise demand for hyperautomation has boosted the demand for process mining tools. However, with advancements in technology such as RPA, low-code/no-code, and AI, the role of process mining has elevated from process standardization or automation to delivering digital transformation. Sophisticated platform features such as data integration with IoT devices and digital twin development enhance process understanding and data visualization capabilities. To tap potential market opportunities, software-as-a-service (SaaS) providers are embedding process mining capabilities in business applications by developing in-house capabilities and acquiring or partnering with process mining vendors. These trends, and others, are covered in our Intelligent Process Mining Platforms 2022–2023 RadarView™.
The report highlights key market trends in the intelligent process mining space and Avasant’s viewpoint. It aids companies in identifying top platform providers who can assist them in implementing process mining platforms. It also offers an analysis of each platform provider’s capabilities in technology and delivery support, thereby enabling organizations to identify the right strategic partners for process mining.
This RadarView includes a detailed analysis of the following process mining platform providers: ABBYY, Appian, Apromore, Celonis, IBM, iGrafx, Mavim, Minit, MPM ProcessMining, QPR, SAP, Software AG, and StereoLOGIC.
The industry insights and recommendations presented are based on our ongoing interactions with enterprise CXOs and other key executives, targeted discussions with platform providers, subject matter experts, and Avasant Fellows, along with lessons learned from consulting engagements.
Our evaluation of platform providers is based on primary input from the providers, focused briefings, public disclosures, validation from their clients, and Avasant’s ongoing market interactions. The assessment is across the three dimensions of product maturity, enterprise adaptability, and future readiness, leading to our recognition of those platform providers that have brought the most value to the market over the past 12 months.
About the report (Page 3)
Executive summary (Pages 6–8)
Lay of the land (pages 9–17)
RadarView overview (Pages 18–24)
Platform provider profiles (Pages 25–51)
Key contacts (Page 53)
Read the Research Byte based on this report.
Avasant’s research and other publications are based on information from the best available sources and Avasant’s independent assessment and analysis at the time of publication. Avasant takes no responsibility and assumes no liability for any error/omission or the accuracy of information contained in its research publications. Avasant does not endorse any provider, product or service described in its RadarView™ publications or any other research publications that it makes available to its users, and does not advise users to select only those providers recognized in these publications. Avasant disclaims all warranties, expressed or implied, including any warranties of merchantability or fitness for a particular purpose. None of the graphics, descriptions, research, excerpts, samples or any other content provided in the report(s) or any of its research publications may be reprinted, reproduced, redistributed or used for any external commercial purpose without prior permission from Avasant, LLC. All rights are reserved by Avasant, LLC.
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