Applying SQA Consulting’s Innovation Radar research framework, the study presented in this report takes a holistic view of the Intelligent Automation market, considering automation needs from all possible angles to establish four automation categories, focused on task, process, data, & experience.
The fuller potential of intelligent automation lies in bringing together apps, channels, interfaces, devices, intelligence, data, APIs, workflows, & bots into integrated low-code solutions to realise transformational outcomes. It is no more the case to implement different intelligent automation technologies as disjointed toolsets. The analysis reports presented in this research series cuts across multiple technology markets to provide a joined-up view of intelligent automation implementation potential and presents platform-level capability assessments of select high-value intelligent automation vendors who have built broader end-to-end automation capabilities with their core focus area as either task, process, data, or experience.
In our first report from this series, that takes process innovation as the core focus area, capabilities of the three select vendors pioneering intelligent automation value creation with low-code development: Appian, Microsoft, & Pegasystems, who share a combined intelligent automation revenue in excess of $1 bn, are assessed for their integrated platform offerings based on comprehensive eight-fold criteria to cater to the needs of each of the automation categories presented in our framework.
The assessment report presents greater breadth and depth of analysis, providing wide-ranging insights uncovering the technical strengths, strategic benefits, and the degree of change that can be potentially realised, based on the innovation potential that can be unlocked, from the application of assessed vendors’ Intelligent Automation platforms. The report is to aid enterprise customers in making informed intelligent automation platform choices when considering low-code development as the key change enabler.
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