Digital Process Automation (DPA) Statistics


Steve Goldstein
Steve Goldstein
Business Formation Expert
Steve Goldstein runs LLCBuddy, helping entrepreneurs set up their LLCs easily. He offers clear guides, articles, and FAQs to simplify the process. His team keeps everything accurate and current, focusing on state rules, registered agents, and compliance. Steve’s passion for helping businesses grow makes LLCBuddy a go-to resource for starting and managing an LLC.

All Posts by Steve Goldstein →
Business Formation Expert  |   Fact Checked by Editorial Staff
Last updated: 
LLCBuddy™ offers informative content for educational purposes only, not as a substitute for professional legal or tax advice. We may earn commissions if you use the services we recommend on this site.
At LLCBuddy, we don't just offer information; we provide a curated experience backed by extensive research and expertise. Led by Steve Goldstein, a seasoned expert in the LLC formation sector, our platform is built on years of hands-on experience and a deep understanding of the nuances involved in establishing and running an LLC. We've navigated the intricacies of the industry, sifted through the complexities, and packaged our knowledge into a comprehensive, user-friendly guide. Our commitment is to empower you with reliable, up-to-date, and actionable insights, ensuring you make informed decisions. With LLCBuddy, you're not just getting a tutorial; you're gaining a trustworthy partner for your entrepreneurial journey.

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.

How much of an impact will Digital Process Automation (Dpa) Statistics have on your day-to-day? or the day-to-day of your LLC Business? How much does it matter directly or indirectly? You should get answers to all your questions here.

Please read the page carefully and don’t miss any words.

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 is about using technology to automate repetitive tasks and streamline processes, ultimately saving time and money. By reducing the need for human intervention in manual tasks, DPA allows employees to focus on more strategic, value-added activities, ultimately leading to increased productivity and innovation.

One of the key benefits of DPA is the ability to scale processes quickly and easily. With DPA, processes can be standardized and automated, allowing organizations to quickly ramp up operations as needed without the need for additional resources. This scalability is especially valuable in today’s fast-paced business environment, where agility and flexibility are essential for staying competitive.

Furthermore, DPA can help to improve accuracy and reduce errors in processes. By automating routine tasks, DPA eliminates human error and ensures that processes are executed consistently and accurately every time. This not only saves time but can also reduce the risk of costly mistakes and compliance issues.

Another advantage of DPA is its ability to enhance transparency and visibility. By digitizing processes and workflows, DPA provides real-time data and insights into how operations are running, allowing organizations to identify bottlenecks, inefficiencies, and opportunities for improvement. This visibility can be invaluable for making data-driven decisions and driving continuous improvement.

Moreover, DPA can help organizations meet the growing expectations of digital-savvy customers. In today’s digital age, customers expect fast, seamless, and personalized experiences. By automating processes with DPA, organizations can deliver a more efficient and customer-centric service, ultimately leading to increased satisfaction and loyalty.

However, while DPA offers numerous benefits, it is not without its challenges. Implementing DPA can be a complex and time-consuming process, requiring organizations to rethink and redesign their processes from the ground up. It also requires a significant upfront investment in technology and resources, which can be a barrier for smaller organizations with limited budgets.

Additionally, DPA raises concerns about job displacement and the impact on the workforce. As more tasks are automated, some employees may fear that their roles will become obsolete. However, DPA should be seen as an opportunity for employees to upskill and focus on more strategic and fulfilling work, rather than a threat to job security.

In conclusion, DPA has the potential to revolutionize how businesses operate by automating tasks, improving efficiency, and enhancing customer experiences. While there are challenges to overcome, the benefits of DPA far outweigh the drawbacks. Ultimately, organizations that embrace DPA as a key strategic initiative will be better positioned to thrive in the digital age and stay ahead of the competition.

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

Leave a Comment