Process Mining Statistics


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Process Mining Statistics 2023: Facts about Process Mining outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Process Mining, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Process Mining Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 39 Process Mining Statistics on this page 🙂

Process Mining “Latest” Statistics

  • The process’s maximum case usage of the case utilization curve was 41.2%.[1]
  • All of the time has been actively spent executing activities if the case utilization is 1.0 (100%), which is trivially true if just one action was completed.[1]
  • According to 61% of respondents, the main advantage of process mining is the availability of real process data that may be utilized for further diagnostics.[2]
  • According to 78% of automation, process mining is essential for facilitating RPA operations.[2]
  • Customer journey mapping use is expected to rise by 83% of company decision-makers, and by 57%, they want to boost it considerably.[2]
  • The majority of survey respondents—93% —said they intended to use process mining in their firms. 79% said they have never utilized this method.[2]
  • Businesses may boost their company value by 40% while cutting the time it takes to deploy RPA by 50% and the risk associated with the project by 60% by employing process mining throughout that implementation.[2]
  • According to Gartner’s prediction, the process mining industry will generate 550 million in new product licensing and maintenance revenue in 2020, which represents a year-over-year rise of 70%.[2]
  • According to Gartner, the process mining industry will reach $1 billion in 2022 by expanding by 40% to 50%.[2]
  • The two most frequent responses to the question of where CEOs perceive the biggest opportunity are “procurement process improvement” (22%) and “audit and control-related operations” (19%).[2]
  • Manual routing and process gaps complicate matters further, and 37% of businesses and IT decision-makers say that these issues exist in their firms.[2]
  • During the projected period, it is anticipated that the size of the worldwide process analytics market will increase from 185 million in 2018 to 1.42 billion in 2023, with a compound annual growth rate CAGR of 50%.[2]
  • The technology is wonderful for procedures that are 100% automated and operate off the computer, but that’s not the reality, according to creative Thinking’s Kakkanad.[3]
  • According to Gartner, 110 million dedicated process mining tools were in the market in 2018 and 320 million in 2019.[3]
  • In order to assess the model’s accuracy, we also divided the data into training and test datasets, with 80% and 20% of the total data serving as each.[4]
  • To develop a model for this study, the random forest was used: Data partitioning using 80% of the training and 20% of the test datasets was done to analyze the accuracy.[4]
  • According to the 2018 Accenture Process Reimagined Study, 88% of businesses that used machine learning in their business processes saw improvements of 20%.[4]
  • More may still be done since 87% of non-adopters now intend to launch pilot projects or are prepared to give it a go with a proof of concept.[4]
  • Acquire an unparalleled degree price on 100% online degrees that meet your schedule and an unparalleled price on 100% online degrees that meet your schedule.[4]
  • More than 60% of respondents identified the technology’s potential for enhancing IT operations and the customer journey map.[4]
  • In 2020, the business said it controlled over 60% of the process mining industry and had over 40% year-over-year growth.[4]
  • The proportion of limited antibiotics given to 1,000 randomly chosen patients was 12.79%, which was higher than the proportions in groups a and b of 0.7% and 2.99%, respectively.[4]
  • In 2023, process improvement applications are predicted to surpass process discovery by 42%.[4]
  • It is anticipated to increase at a CAGR of 49.3% from 627 million in 2021 to 10,383 million in 2028.[4]
  • By 2029, Fortune Business Insights projects that the worldwide market will reach 15,546.4 million.[5]
  • The worldwide market will rise by an average of 48.5% in 2020 compared to 2019.[5]
  • In 2020, Europe had the biggest revenue share at around 49%, and it is anticipated that it will continue to dominate over the projected period.[6]
  • Around 30% of total revenue came from the BFSI category in 2020, which is anticipated to remain constant throughout the projection year.[6]
  • With a revenue share of more than 55% in 2020, the cloud segment led the market, and it is anticipated that it will keep that position throughout the forecast period.[6]
  • Over the projection period (2021-2028), the consumer goods and services category is anticipated to have the greatest CAGR of over 56%.[6]
  • The market for process mining software was worth 322.02 million in 2020 and is projected to be worth 462.74 million in 2021.[6]
  • Over 40% of the market in 2020 was accounted for by the on-premise segment, which is anticipated to maintain its dominance during the forecast period.[6]
  • During the projection period, the service sector is anticipated to grow the greatest CAGR of 56%.[6]
  • With a revenue share of over 60% in 2020, the software category led the market, and it is anticipated that this dominance will continue throughout the forecast period.[6]
  • Over 20% of the total revenue in 2020 came from the transactional procurement category, which is anticipated to maintain this position throughout the projection period.[6]
  • The estimated Chi-square test value is compared to the Chi-square distribution based on a confidence level of typically 95% to check whether at least one pair of response effects are substantially different.[7]
  • To account for this, the study used the mean of 80% of the data selected when sorted by duration.[7]
  • 77% of respondents who presently have island solutions and 63% of respondents who just launched a proof of concept aim to extend their projects, as do 83% of businesses that now use process mining on a global scale.[8]
  • Major findings 63% of respondents, who make up the majority, have already begun using process mining.[8]

Also Read

How Useful is Process Mining

One of the key benefits of process mining is its ability to provide organizations with a comprehensive view of their end-to-end processes. By analyzing the digital footprints left by people, systems, and applications as they interact within and across processes, organizations can gain valuable insights into the actual paths taken and the bottlenecks that may exist. This level of transparency can uncover hidden inefficiencies that may have gone unnoticed and empower organizations to make data-driven decisions to optimize their processes and improve overall performance.

Moreover, process mining can also help organizations identify deviations from standard operating procedures or compliance requirements. By comparing actual process executions with predefined models or benchmarks, organizations can quickly flag instances of non-compliance or deviations from the expected norms. This level of process visibility can be critical for regulated industries or organizations that need to adhere to strict compliance standards, ensuring that processes are executed in accordance with legal and regulatory requirements.

Another significant advantage of process mining is its ability to enable organizations to continuously monitor, analyze, and improve their processes in real-time. By leveraging event logs and data analytics capabilities, organizations can gain real-time insights into process performance, identify emerging issues or trends, and take proactive measures to address them promptly. This level of agility and responsiveness can help organizations stay ahead of the curve and adapt quickly to changes in market conditions or customer expectations.

Additionally, process mining can also facilitate cross-functional collaboration and communication within organizations. By providing a shared understanding of processes across departments or functions, process mining can break down silos and foster collaboration towards common goals. This shared understanding can also help organizations drive process standardization, streamline workflows, and leverage best practices across the organization.

While the benefits of process mining are clear, organizations should be mindful of certain considerations to maximize its effectiveness. For instance, it is essential to ensure that the data captured for process mining is accurate, complete, and representative of the actual processes being analyzed. Organizations should also invest in the necessary technology, tools, and expertise to leverage process mining effectively and derive actionable insights from their data.

In conclusion, process mining is a valuable and powerful tool for organizations seeking to gain deeper insights into their operations, optimize their processes, and drive continuous improvement. By leveraging data analytics and visualization techniques, organizations can unlock hidden potential, drive efficiency gains, and enhance overall performance. Embracing process mining as a core competency can position organizations for success in an increasingly competitive and dynamic business landscape.

Reference

  1. fluxicon – https://fluxicon.com/book/read/statisticsview/
  2. aimultiple – https://research.aimultiple.com/process-mining-stats/
  3. venturebeat – https://venturebeat.com/business/why-process-mining-is-seeing-triple-digit-growth/
  4. webinarcare – https://webinarcare.com/best-process-mining-software/process-mining-statistics/
  5. fortunebusinessinsights – https://www.fortunebusinessinsights.com/process-mining-software-market-104792
  6. grandviewresearch – https://www.grandviewresearch.com/industry-analysis/process-mining-software-market-report
  7. sciencedirect – https://www.sciencedirect.com/science/article/pii/S0306437922000357
  8. deloitte – https://www2.deloitte.com/de/de/pages/finance/articles/global-process-mining-survey-2021.html

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