Everest Group defines task mining as a type of software product that can capture user actions and metadata, such as keystrokes, mouse clicks, activity screenshots, and potentially other system-level activities, performed together on multiple desktops to discover tasks and provide insights into the tasks and activities involved in executing a process. The technology provides a data-based approach to process optimization and automation through different applications and use cases spanning industries and process areas. This has led to task mining being one of the fastest-growing markets in the Intelligent Automation (IA) space. Adoption of task mining solutions can not only help enterprises achieve cost savings and operational efficiencies by optimizing/automating tasks, but also enhances employee experience through better resource allocation. While task mining can play a key role in the success of an organization’s digital transformation journey, task mining technology is relatively new to many potential buyers in terms of product capabilities, features, and commercial models.
In this study, they analyze the task mining technology landscape across various dimensions:
- Overview of process intelligence software products
- Everest Group’s PEAK Matrix® evaluation, a comparative assessment of 17 leading task mining technology providers
- Competitive landscape of the task mining technology provider market
- Key task mining technology trends
- Remarks on key strengths and limitations for each task mining technology provider
Leaders: Automation Anywhere, EdgeVerve, NICE, Nintex, and Soroco
Major Contenders: ABBYY, Celonis, Epiance, IBM, KYP.ai, Mimica, Skan.ai, StereoLOGIC, UiPath, and UltimateSuite
Aspirants: MeeCap and Optimus Hive
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