Workflow automation involves automating a series of operations by capturing and interpreting the existing high-volume, repetitive applications. Workflow automation deals with transactions, manipulating data, triggering responses, and communicating with other digital systems, which usually takes a lot of time for humans to carry out and is monotonous.

VISIONARY LEADERS

Visionary leaders are the leading market players in terms of product portfolio, geographic reach, innovative technologies, and adoption of growth strategies. The SWIR market is moderately dominated by the players covering a major share of the market. These players have a broad product portfolio that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and well-established brand equity.

DYNAMIC DIFFERENTIATORS

There have been many companies in the workflow automation market that are largely dependent on their competitive R&D activities. Most of the dynamic players are companies that focus specifically on one or two technologies and have a geographic footprint in various regions globally.

INNOVATORS

The workflow automation market is moderately dependent on innovators that bring innovation in the forms of product and technology development. Therefore, new players can make steady profits.

EMERGING COMPANIES

The emerging companies have niche service offerings. Their business strategies are not as strong as that of the established vendors. The emerging companies include the new entrants in the market and require time to gain significant traction in the market.

Workflow Automation Process

Comparing 35 vendors in Workflow Automation Process across 16 criteria.
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72 Buyers Interested
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Ipsoft AI2ROI automates IT and business processes end-to-end by joining autonomic and cognitive technology into a unified platform. It can develop automations and use out-of-the-box IPsoft-provided automations to solve problems related to IT operations. With workflow automation systems can combine analytics, cognitive AI and guided machine learning to speed up the creation of new automations.

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