Digital Process Automation (DPA) Statistics


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Digital Process Automation (Dpa) Statistics 2023: Facts about Digital Process Automation (Dpa) outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Digital Process Automation (Dpa), 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 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

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Top Digital Process Automation (Dpa) Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 43 Digital Process Automation (Dpa) Statistics on this page 🙂

Digital Process Automation (DPA) “Latest” Statistics

  • According to Gartner, software as a service (SaaS), which continues to dominate the industry, is seen to reach $117.7 trillion together with application infrastructure services in 2021; PaaS is expected to increase faster by 26.6%.[1]
  • According to one research on the transformational effects of automation in many industries, 60% of all employment includes at least 30% automatable tasks, such as data input, repeated email sending, or similar daily operations.[1]
  • 46% of people adhere to the idea that streamlining work procedures may save expenses.[2]
  • By 2025, low-code or no-code technologies will be used in 70% of new apps created by businesses, up from less than 25% in 2020.[3]
  • IT application development and citizen development projects, 75% of big businesses will use at least four low-code development tools by 2025.[3]
  • According to Forrester Digital Process Automation, improving employee output at 26% and customer satisfaction at 25% were similarly high.[3]
  • According to 26% of senior developers in a Forrester study, a citizen developer approach allows business workers outside of it to do development work.[3]
  • 5% of the Fortune 500 will embrace the automation fabric to support extreme innovation, according to Forrester’s report.[3]
  • According to McKinsey, up to four out of every five procedures in human resources, finance, and application processing may be automated at least partly, which would result in a minimum 30% cost reduction.[4]
  • 91% of respondents listed personnel and process issues as the biggest obstacles to becoming data.[5]
  • According to a poll of company executives from various sectors, 66% were testing solutions to automate at least one business function, up from 57% two years before.[5]
  • According to a case study by the consulting company Elder Research, the median accuracy rate of projections over the four-week research was 88%.[5]
  • In 2020, 65% of organizations intended to spend more than $50 million in big data and artificial intelligence efforts, up from 40% in 2018, according to a recent CEO study by New Vantage Partners.[5]
  • Just 15% of companies have comprehensive hr technology plans that are in line with their company objectives.[5]
  • According to Deloitte, among Millennials, 43% anticipate themselves quitting their employment within two years, while just 28% see themselves remaining longer than five years.[5]
  • 63% of companies that have used AI claim that it has led to higher sales.[5]
  • Mordor Intelligence forecasts a CAGR of 6.26%, with sales reaching 4.78 billion by 2025 from a 3.38 billion market in 2019.[5]
  • Meticulous Research increased that prediction to an even more startling 45.3%, with the market reaching 21.8 billion in less than seven years.[5]
  • Grand View anticipates that through 2025, demand for contemporary workflow automation management solutions will grow at a CAGR of 27.7% due to digitization and a focus on optimizing company operations.[5]
  • DPA had a market size of 7.8 billion in 2019; Mordor research projects it will expand at a CAGR of 13% and reach 16.12 billion by 2025.[5]
  • A survey published in late 2019 predicted that the supply chain AI market would expand at a CAGR of 39.4% through 2027.[5]
  • Since the financial crisis, manufacturing sector growth has only increased by 0.5%, a dramatic decline from 4.4%.[5]
  • 74% of the 600 HR and IT executives polled by PwC await more investment in HR technology.[5]
  • Vital data retail respondents use AI 60% of the time, up from 35% last year, making it the sector with the most gain.[5]
  • From 39.7% in 2018 to 64.8% in 2020, organizations projected to spend more than $50 million on big data and AI activities.[5]
  • RPA will be used by 88% of corporate controllers in 2021, yet many are apprehensive about utilizing it for financial reporting.[5]
  • By 2025, the market for marketing automation software is foreseen to reach $16.87 billion at an anticipated CAGR of 19%.[5]
  • Early in May 2020, according to Gallup, U.S. employee engagement reached a new high of 38%.[5]
  • Managing the supply chain, according to Allied Industry Research, the SCM market is assumed to increase from 15.85 billion in 2019 to 37.41 billion by 2027.[5]
  • According to McKinsey, at least one-third of daily tasks in around 60% of jobs might be automated.[5]
  • The market for accounting software would increase at a CAGR of 8.02% between 2018 and 2026, from 11 billion to 20.4 billion.[5]
  • According to the Bureau of Labor Statistics, between 2007 and 2019, the U.S. overall productivity grew by a pitiful 1.4%.[5]
  • McKinsey found that 76% of IT executives and 88% of executives in banking and insurance had advanced the use of automation and artificial intelligence.[5]
  • Just 29% of chief accounting officers are adopting RPA for financial reporting.[5]
  • Although it has progressed significantly in recent years, and business AI usage has increased by 25%, actual AI uses in BPA are still rather low.[5]
  • According to Grand View Research, the RPA industry, which was valued at 1.4 billion in 2019, is expected to expand at a CAGR of 40.6% between 2020 and 2027.[5]
  • According to the analytical group that projects the global RPA market to increase by 19.5% from 2019 to 2020, reaching approximately 2 billion.[5]
  • According to Statista, the productivity software market, including office and collaboration tools, was expected to reach roughly 62 billion in 2020 and generate revenue of 85 billion by 2025 at a CAGR of 6.8%.[5]
  • For 13 million transactions annually, Isbank employs Pega’s dynamic case management to increase process efficiency by 30%-50%.[6]
  • Toyota increased efficiency and decreased compliance risk while lowering early resolution by 30%.[6]
  • At a compound annual growth rate of 8.93%, the automation as a service market size is foreseen to increase from 3,108.37 million in 2019 to 5,195.63 million by the end of 2025.[7]
  • The market for digital process automation is to grow at an 8.5% CAGR to reach 11,770 million by 2026, per evaluation reports.[7]
  • At a compound annual growth rate of 12.68%, the intelligent process automation market is anticipated to increase from 7,654.27 million in 2019 to 15,672.44 million by the end of 2025.[7]

Also Read

How Useful is Digital Process Automation Dpa

At its core, DPA aims to eliminate manual, repetitive tasks that can be a drain on resources and lead to errors. By digitizing processes and workflows, organizations can ensure consistency and standardization in their operations, leading to more predictable and reliable outcomes. This can be particularly beneficial in industries that rely heavily on strict processes and procedures, such as finance, manufacturing, and healthcare.

One of the key advantages of DPA is its ability to enhance productivity by freeing up employees to focus on more strategic tasks. By automating routine processes, employees can spend more time on value-added activities that require human judgment and creativity. This can lead to increased job satisfaction and motivation, as employees are able to contribute more meaningfully to their organizations.

Furthermore, DPA can improve compliance and reduce risk by ensuring that processes are followed consistently and accurately. By automating tasks such as data entry, reporting, and approvals, organizations can minimize the potential for errors or oversights that could result in costly fines or legal ramifications. This can be particularly important in highly regulated industries, where compliance is paramount.

Another benefit of DPA is its ability to drive innovation and agility within organizations. By streamlining processes and reducing bottlenecks, organizations can respond more quickly to changing market conditions and customer demands. This can help organizations stay ahead of the competition and adapt to disruptions in their industry, ultimately leading to increased success and profitability.

However, it’s important to note that DPA is not a one-size-fits-all solution and may not be appropriate for every organization or process. Some tasks may require a human touch or judgment that cannot be replicated through automation. It’s important for organizations to carefully evaluate their processes and goals to determine where DPA can add the most value.

Additionally, organizations should consider the potential challenges and pitfalls of implementing DPA, such as the cost of implementation, integration with existing systems, and resistance to change from employees. It’s important to have a clear strategy and roadmap for implementing DPA to ensure a successful deployment and maximize the benefits it can bring.

In conclusion, digital process automation is a valuable tool that has the potential to transform how organizations operate and drive significant benefits in terms of efficiency, productivity, compliance, and innovation. While DPA may not be suitable for every organization or process, it is certainly worth considering as a way to optimize and streamline operations. By carefully evaluating the benefits and challenges of DPA, organizations can make informed decisions about how to leverage this powerful technology for their own success.

Reference


  1. appian – https://appian.com/blog/2021/rpa-vs–dpa–the-differences-and-similarities-between-digital-an.html
  2. cetrixcloudservices – https://www.cetrixcloudservices.com/blog/7-benefits-realized-through-digital-process-automation
  3. flowforma – https://www.flowforma.com/blog/digital-process-automation-fast-facts
  4. imageapi – https://www.imageapi.com/blog/what-is-digital-process-automation
  5. netsuite – https://www.netsuite.com/portal/resource/articles/business-strategy/business-automation-statistics.shtml
  6. pega – https://www.pega.com/products/platform/intelligent-automation
  7. prnewswire – https://www.prnewswire.com/in/news-releases/digital-process-automation-market-size-to-reach-usd-11770-million-by-2026-at-a-cagr-8-5-valuates-reports-867956624.html

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