Digital Process Automation (DPA) Statistics 2024 – Everything You Need to Know

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Are you looking to add Digital Process Automation (DPA) to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Digital Process Automation (DPA) statistics of 2024.

My team and I scanned the entire web and collected all the most useful Digital Process Automation (DPA) stats on this page. You don’t need to check any other resource on the web for any Digital Process Automation (DPA) statistics. All are here only 🙂

How much of an impact will Digital Process Automation (DPA) have on your day-to-day? or the day-to-day of your business? Should you invest in Digital Process Automation (DPA)? We will answer all your Digital Process Automation (DPA) related questions here.

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Best Digital Process Automation (DPA) Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 193 Digital Process Automation (DPA) Statistics on this page 🙂

Digital Process Automation (DPA) Market Statistics

  • Business process management was a $3.38 billion market in 2019, and Mordor Intelligence projects a CAGR of 6.26%, with sales reaching $4.78 by 2025. [0]
  • The RPA market, valued at $1.4 billion in 2019, is forecast to grow at a CAGR of 40.6% between 2020 and 2027, according to Grand View Research. [0]
  • In 2019, DPA was a $7.8 billion market; it’s forecast by Mordor Research to grow at a CAGR of 13%, reaching $16.12 billion by 2025. [0]
  • Key statThe supply chain management market is expected to grow from $15.85 billion in 2019 to $37.41 billion by 2027, a CAGR of 11.2%.—Allied Market Research. [0]
  • No wonder the global market for accounting software is forecast to grow at a CAGR of 8.02% from 2018 to 2026, increasing from $11 billion to $20.4 billion. [0]
  • The productivity software market, which includes office and collaboration applications, was forecast to reach nearly $62 billion in 2020, with revenue predicted to increase at a CAGR of 6.8%, reaching $85 billion by 2025, says Statista. [0]
  • In late 2019, a report forecast that the supply chain AI market was poised to grow at a CAGR of 39.4% through 2027. [0]
  • But months after the COVID19 pandemic struck, Meticulous Research raised that forecast to an even more eye opening 45.3%, with the market reaching $21.8 billion in less than seven years. [0]
  • The analyst firm, which is forecasting that the worldwide RPA market will grow 19.5% from 2019 to 2020, to nearly $2 billion, also predicts that 90% of large organizations throughout the world will have adopted RPA in some form by 2024. [0]
  • Key statAt an expected CAGR of 19%, the market marketing automation software market is forecast to reach $16.87 billion by 2025.—Mordor Intelligence. [0]
  • The global Digital Process Automation market size is projected to reach USD 11770 million by 2026, from USD 6451.8 million in 2019, at a CAGR of 8.5% during 2021. [1]
  • This tracker also forecasts that the AI market will pick up pace in 2024, with a growth of 18.8%, and remain on track to reach the 500 billion USD mark by 2024. [2]
  • The market for workflow automation and related technologies is growing at 20% per year and is likely to reach $5 billion USD by 2024.7. [3]
  • Global spending on marketing automation tools is predicted to pass $25 billion by 2024 — which amounts to a 14% annual growth rate from 2017.8 55% of global marketers plan to increase spending on overall marketing technology in the next year.8. [3]
  • The global Digital Process Automation Software market size is projected to reach USD million by 2028, from USD million in 2021, at a CAGR of % during 2024. [4]
  • Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6. [4]
  • The global low code platform market is forecasted to generate a revenue of $187.0 billion by 2030, increasing from $10.3 billion in 2019, and is expected to reach 31.1% CAGR in the forecast period. [5]
  • According to Gartner, the market demand for app development services will grow at least 5x faster than IT capacity to deliver them. [5]
  • According to Forrester, the market for nocode low code development platforms to increase to $21.2 billion by 2024, up from $3.8 billion in 2017. [5]
  • Gartner predicts NoCode LowCode application platforms are expected to remain the most significant component of the nocode low code technology market through 2024, increasing nearly 30% from 2020 to reach $5.8 billion in 2021. [5]
  • Projected nocode lowcode development yearover year market growth rate is estimated to be 40% in 2024. [5]
  • 84% of the enterprise have turned toward nocode lowcode to reduce strain on IT resources, increase speedto market and involve the business in digital asset development. [5]
  • The digital process automation market was valued at USD 7.8 billion in 2020 and is expected to reach a value of USD 16.12 billion by 2026 at a CAGR of 12.98 %, during the forecast period. [6]

Digital Process Automation (DPA) Software Statistics

  • No wonder the global market for accounting software is forecast to grow at a CAGR of 8.02% from 2018 to 2026, increasing from $11 billion to $20.4 billion. [0]
  • The productivity software market, which includes office and collaboration applications, was forecast to reach nearly $62 billion in 2020, with revenue predicted to increase at a CAGR of 6.8%, reaching $85 billion by 2025, says Statista. [0]
  • Prices for RPA software will decrease 10% to 15% by the end of 2020 and 5% to 10% in 2021 and 2024. [0]
  • Key statAt an expected CAGR of 19%, the market marketing automation software market is forecast to reach $16.87 billion by 2025.—Mordor Intelligence. [0]
  • 29% ofcompanies plan to implement low code process automation software shortly. [2]
  • A recent study finds out that 82 percent of organizations can’t attract and retain the quality and quantity of software engineers. [5]
  • Forrester found that nocode lowcode software development helps developers make cloudnative applications more than 10 times faster (with 70% fewer resources). [5]

Digital Process Automation (DPA) Adoption Statistics

  • Still, use of true AI in BPA is relatively low, though it has accelerated considerably in recent years, with enterprise AI adoption up 25%, according to McKinsey’s 2019 Global AI survey. [0]
  • A global survey revealed that around74%of respondents quoted their workforce (11% to 50%). [2]
  • Gartner’s survey reveals talent shortage as the key adoption risk factor for most IT automation technologies (75%). [2]
  • More than half (56%). [2]
  • Gartner expects over 75% of large enterprises in mature economies will use container management by 2024 due to a growing adoption of cloud native applications and infrastructure. [7]
  • According to Gartner, citizen integrator tools are forecasted to reach mainstream adoption in the next 2 to 5 years. [5]

Digital Process Automation (DPA) Latest Statistics

  • Key stat31% of businesses have fully automated at least one. [0]
  • A 2020 global survey of business leaders from a wide cross section of industries conducted by McKinsey & Co. found that 66% were piloting solutions to automate at least one business process, up from 57% two years earlier. [0]
  • The percentage of companies that have fully automated at least one function, however, has grown more modestly, from 29% in 2018 to 31% in 2020. [0]
  • A case study conducted by consulting firm Elder Research found that forecasts during the four week study delivered a median accuracy rate of 88%. [0]
  • Key statIn early May 2020, U.S. employee engagement advanced to a new high of 38%.—Gallup Improving worker productivity is a top driver for technology investments, including automation. [0]
  • Overall, U.S. productivity growth clocked in at a paltry 1.4% between 2007 and 2019, according to the Bureau of Labor Statistics. [0]
  • In the manufacturing sector, growth has increased only 0.5% since the financial crisis, falling sharply from 4.4%. [0]
  • Among Millennials, 43% envision leaving their jobs within two years, while only 28% see themselves staying beyond five years, according to Deloitte. [0]
  • McKinsey estimates that, in about 60% of occupations, at least one third of workday activities could be automated. [0]
  • Key stat60% of retail respondents have implementation AI, up from 35% during the prior year, making it the industry with the sharpest increase.—McKinsey Advances in AI and machine learning are key enablers of BPA. [0]
  • Among its key findings 63% of those that have implemented AI say that it contributed to increased revenues. [0]
  • 58% embedded at least one AI element into a process or product, up from 47% in 2018. [0]
  • 30% incorporated AI across business units, an increase from 21%. [0]
  • Since the outbreak, McKinsey found that 88% of finance and insurance executives and 76% of those in IT have accelerated their implementations of automation and artificial intelligence. [0]
  • 27% Capture and apply knowledge that is hard to otherwise attain 26% Apply automation to reduce headcount 24%. [0]
  • Digitization and a focus on streamlining business processes is accelerating demand for modern workflow automation management systems, which Grand View expects to show a CAGR of 27.7% through 2025. [0]
  • Key stat64.8% of businesses planned to invest more than $50 million in big data and AI initiatives in 2020, up from 39.7% in 2018.—New Vantage Partners. [0]
  • A recent executive survey from New Vantage Partners shows that 65% of businesses planned to invest more than $50 million in big data and AI initiatives in 2020, up from 40% in 2018. [0]
  • While only 38% have created data driven organizations, 27% have successfully created “data cultures” within their companies. [0]
  • 91% cited people and process challenges as the largest barriers to evolving into data. [0]
  • Key stat88% of corporate controllers expect to implement RPA in 2021, though many are hesitant to use it for financial reporting.—Gartner. [0]
  • RPA could save finance teams 25,000 hours of avoidable rework from human errors, at a cost savings of $878,000, according to research firm Gartner. [0]
  • Still, a study found that only 29% of chief accounting officers surveyed are using RPA for financial reporting. [0]
  • Key stat25% of companies are using AI to screen resumes or job applications.—Littler. [0]
  • Investments in HR technology will soar between 2020 and 2024, according to a report by Gallagher, an insurance brokerage, risk management and consulting firm. [0]
  • More than two thirds, 69%, of HR execs surveyed said they will expand or replace their HR systems by 2024. [0]
  • According to the findings Just 15% have holistic HR technology strategies aligned with their corporate goals. [0]
  • Still, 35% have implemented new HR technology with success since 2018. [0]
  • 29% use more than 75% of the capabilities provided in their systems. [0]
  • Most, 69%, say they are not using these systems in their recruiting or hiring processes, for example. [0]
  • It appears that companies are listening Among the 600 HR and IT executives PwC surveyed, 74% expect to increase HR technology spending. [0]
  • Likewise, 72% said their core HR applications will be cloud based by the end of 2020. [0]
  • Digital Process Automation Market Size to Reach USD 11770 Million by 2026 at a CAGR 8.5% – Valuates Reports. [1]
  • Intelligent Process Automation Market size is expected to grow from USD 7,654.27 Million in 2019 to USD 15,672.44 Million by the end of 2025 at a Compound Annual Growth Rate of 12.68%. [1]
  • Automationasa Service Market size is expected to grow from USD 3,108.37 Million in 2019 to USD 5,195.63 Million by the end of 2025 at a Compound Annual Growth Rate of 8.93%. [1]
  • A 2020 global survey by McKinsey and Co. states that 66% of businesses have piloted the automation of business processes in one or more business functions. [2]
  • This is a significant jump of 9% from 57% in the previous survey of 2018. [2]
  • By 2024,90%of corporate strategies will highlight information as a critical business asset and analytics as a crucial competency. [2]
  • Most organizations (97%). [2]
  • Research forecasted it to grow at a CAGR of6%between 2020 and 2027. [2]
  • By 2025, it is expected to grow at a CAGR of13%, reaching 16.12 billion USD. [2]
  • 90% of employees feel burdened with repetitive and boring tasks that can be easily automated. [2]
  • 68% of employees have suffered because of work overload in which they have too much to handle on a daily basis. [2]
  • 81% of workers can reach breaking point if they do not tap automation to handle volumes of work. [2]
  • 67%of companies use business process automation solutions that improve endto end visibility across different systems. [2]
  • 24%of companies have started implementing low code process automation systems. [2]
  • More than80%of business leaders reported accelerating their work process automation and scaling up their use of remote work. [2]
  • 50%of business leaders are ready to accelerate the digitization of jobs in their companies. [2]
  • Nearly half of those surveyed (49%). [2]
  • 43%of businesses plan to reduce their workforce because of technology integration. [2]
  • On the other hand, 34% will expand their workforce due to technology integration. [2]
  • According to Gartner,69%of dayto day managerial work will be entirely automated by 2024. [2]
  • A McKinsey report on the future of work estimates that one third of work activities could be automated in about 60% of the occupations. [2]
  • 51%of automation initiatives were taken to boost employee efficiency. [2]
  • 31%of businesses surveyed are highly concerned about job loss that automation may trigger. [2]
  • To address this concern, companies are looking at ways to internally redeploy almost50%of workers displaced because of automation. [2]
  • Almost half (45%). [2]
  • As per18%of IT leaders, the highest ROI from automation occurs in the HR department of companies. [2]
  • 70%of businesses believe that an automation solution is necessary to build more effective teams. [2]
  • 61%of business leaders believe automation technology will help hiring managers choose the right talent for the job. [2]
  • During the 2020 survey of Deloitte, nearly three out of four execs (73%). [2]
  • Benefits AI delivered are Understanding that strategy is essential,43%of. [2]
  • 45%of businesses use AI to cut down costs. [2]
  • 38%of companies have adopted ML to bring down costs, while 34% use it for the customer experience. [2]
  • 66% ofcompanies experience increased revenue with AI technology. [2]
  • 31% of surveyed businesses have fully automated at least one function.1. [3]
  • 13% of surveyed organizations say they are implementing the practice of intelligent automation at scale ; 23% are implementing ; 37% are piloting .6. [3]
  • 41% of respondents say they are using automation extensively or across multiple functions.7. [3]
  • 57% of respondents say their organizations are at least piloting the automation of processes in one or more business units or functions.2. [3]
  • 38% admit their organization have not begun to automate business processes, but nearly half plan to do so within the next year.2. [3]
  • More so than smaller organizations, larger organizations say they’re using automation across the business or have fully automated at least one process (40% vs 25%). [3]
  • tasks.5 35% of survey respondents say they need more workers skilled in automation, AI, and robotics, due to increased deployment of automation during COVID. [3]
  • 67% of surveyed executives say they have accelerated automation and artificial intelligence during the COVID. [3]
  • In 2020, organizations expected their automation strategies to drive a 15% increase in revenue , up from 11% in 2019.6. [3]
  • Since the COVID 19 outbreak, automation has been most heavily adopted by the financial services and technology sectors, with 88% and 76% of executives reporting increased implementation, respectively.4. [3]
  • Nearly 66% of AI early adopters agree that their organization would like to cut costs by automating as many jobs as possible.5 36% of respondents rank job cuts from AIdriven automation as a top. [3]
  • According to surveyed executives, the top two barriers to adopting automation at scale are process fragmentations and lack of IT readiness, followed by resistance to change and lack of a clear vision.6. [3]
  • Only 38% of surveyed organization have mature process definitions, standards, and management, which impacts their ability to implement automation.6. [3]
  • Only 37% of organizations report that they have appropriate standards overseen by a dedicated, capable IT function in charge of automation.6. [3]
  • Nearly half (49%). [3]
  • Only 26% of respondents stated that their organizations were “ready or very ready” to address the impact of AI and related workflow automation. [3]
  • Just 6% of respondents agreed their organizations were “very ready” to address automation & AI. [3]
  • Considering all the changes that would be necessary — scaling up IT functions, reskilling large parts of the workforce, and integrating human behavior with automation — this low percentage is understandable.7. [3]
  • The proportion of the North America is % in 2021, while China and Europe are % and % respectively, and it is predicted that China proportion will reach % in 2028, trailing a magnificent CAGR through the analysis period. [4]
  • In 2024 with CAGR of 15.29% Industry size estimation, Revenue Analysis, Worldwide Research by Fastest Growing Companies – 120 Pages Report. [4]
  • A large number of companies ( 46% as reported by some sources ). [8]
  • OwlLabs even reports that 52% of workers operate remotely at least once a week. [8]
  • The Office for National Statistics deputy chief economist Richard Heys, said to the BBC that “It has taken the UK a decade to deliver 2% growth, which historically was achieved in a single year.”. [9]
  • Productivity in the UK is around 0.1% per quarter, and other countries are struggling with similar problems, although in most cases not as severe as the UK. [9]
  • By 2025, 40% of physical experience based businesses will improve financial results and outperform competitors by extending into paid virtual experiences. [7]
  • By 2024, organizations with IT teams that understand the needs of customers will outperform other organizations’ customer experience metrics by 20%. [7]
  • By 2024, 40% of all enterprise workloads will be deployed in cloud infrastructure and platform services, up from 20% in 2020. [7]
  • Through 2024, enhancements in analytics and automatic remediation capabilities will refocus 30% of IT operations efforts, from support to continuous engineering. [7]
  • By 2024, 40% of product and platform teams will use AIOps for automated change risk analysis in DevOps pipelines, reducing unplanned downtime by 20%. [7]
  • By 2025, 50% of enterprises will have devised artificial intelligence orchestration platforms to operationalize , up from fewer than 10% in 2020. [7]
  • By 2024, 30% of digital businesses will mandate DNA storage trials, addressing the exponential growth of data poised to overwhelm existing storage technology. [7]
  • By 2024, 75% of organizations will have deployed multiple data hubs to drive mission critical data and analytics sharing and governance. [7]
  • By 2025, customers will be the first humans to touch more than 20% of all products and produce. [7]
  • By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes. [7]
  • By 2024, 80% of hyperautomation offerings will have limited industry specific depth mandating additional investment for IP, curated data, architecture, integration and development. [7]
  • By 2024, more than 70% of the large global enterprises will have over 70 concurrent hyperautomation initiatives mandating governance or facing significant instability. [7]
  • By 2025, more than 20% of all products will be manufactured, packed, shipped, and delivered without being touched —. [7]
  • Technological progress is helping to drive hyperautomation as well Gartner expects that by 2024, organizations will be able to run a full 25% more tasks autonomously. [7]
  • By 2024, 25% of traditional large enterprise CIOs will be held accountable for digital business operational results, effectively becoming “COO by proxy.”. [7]
  • By 2024, 70% of customer experience projects will make use of information technology. [7]
  • By 2025, more than 50% of organizations will use a distributed cloud option at the location of their choice, enabling transformational business models. [7]
  • By year end 2024, 20% of installed edge computing platforms will be delivered and managed by hyperscale cloud providers, compared to less than 1% in 2020. [7]
  • By 2024, 75% of organizations monitoring IaaS/PaaS environments will consume metrics via cloud providers’ APIs. [7]
  • Through 2024, enhancements in digital workplace infrastructure processes driven by analytics and automatic remediation capabilities will refocus 30% of IT operations management, from support to continuous engineering. [7]
  • By 2024, endpoint analytics and automation will help digital workplace service staff shift 30% of time spent on endpoint support and repair to continuous engineering. [7]
  • 76% of survey respondents say that demand for new digital products and services increased in 2020. [7]
  • Even more respondents (83%). [7]
  • In the insurance sector, for example, an October 2016 FIS study found that 99.6 percent of insurers surveyed admitted they face obstacles in implementing digital innovation, while 80 percent recognize they need digital capabilities to meet business challenges. [10]
  • Many companies across industries have been experimenting with IPA, with impressive results Automation of 50 to 70 percent of tasks . .. [10]
  • which has translated into 20 to 35 percent annual run rate cost efficiencies. [10]
  • and a reduction in straight through process time of 50 to 60 percent . . . . .. [10]
  • RPA helped one large insurance cooperative to reduce excess queue procedures affecting 2,500 highrisk accounts a day, freeing up 81 percent of FTEs to take on proactive account. [10]
  • A UK auto insurer that uses cognitive technology saw a 22 percent increase in conversion rates, a 40 percent reduction in validation errors, and a 330 percent overall return on investment. [10]
  • Please email us at One large financial institution used an RPA transformation at scale to automate 60 to 70 percent of tasks in recordtoreport processes and create annual run rate efficiencies of 30 percent or more. [10]
  • Using the same methodology, another institution achieved an 80 percent reduction in processing costs in excess queue procedures. [10]
  • 26% of executives named “nocode lowcode development platforms” as their most crucial automation investment, which has more than doubled (from 10% to 26%). [5]
  • 72% of IT leaders now say project backlogs prevent them from working on strategic projects. [5]
  • Gartner predicts that 65% of the app activity will result from no code development by 2024. [5]
  • 31% of enterprises using nocode lowcode have not used it to build and deliver any of their highest. [5]
  • Almost 60% of the custom apps are now built outside the IT department. [5]
  • Of those, 30% are built by employees with limited or no technical skills. [5]
  • The mixture of lowcode/no code and conventional innovation is projected to be adopted by 75% of businesses. [5]
  • Gartner predicts that 75% of the large enterprise will be using at least four nocode low code development tools for IT and citizen development initiatives by 2024. [5]
  • More than 80% of the form says citizen developers are becoming increasingly important to their organization. [5]
  • 82% of the businesses feel citizen developers will become more important in two years. [5]
  • A recent study by McKinsey found organizations that empower citizen developers score 33% higher on innovation measures than those that do not. [5]
  • Gartner estimates by 2025, 70% of new applications developed by enterprises will use nocode or low code technologies (up from less than 25% in 2020). [5]
  • Nocode low code will make it to the mainstream in 2021, with 75% of development shops adopting this platform. [5]
  • 41% of developers want more than half of their organization’s app development to be nocode low. [5]
  • Gartner predicts that by 2024, over 50% of medium to large enterprises will have adopted a lowcode or no code as one of their strategic application platforms. [5]
  • Gartner predicts, by 2024, 80% of technology products and services will be built by those who are not technology professionals. [5]
  • Nocode low code platforms can reduce the development time by 90%. [5]
  • 82% of firms say custom app development outside of IT is important. [5]
  • 64% of the enterprises using lowcode to run top applications say they turn to low code because it is the most flexible option. [5]
  • 49% of organizations using lowcode say it has the greatest ability to automate processes, while 50% say they use low code because it has the fastest speed of delivery. [5]
  • Gartner estimates 73% of CFOs agree or strongly agree that their organization is using digital tools to help streamline and automate operations. [5]
  • For forms and data collection apps (58%). [5]
  • Apps that orchestrate business processes and workflow within apps (49%). [5]
  • Apps that replace paper, email, or spreadsheet (42%). [5]
  • Customizing new app UI for current on. [5]
  • 47% of the organizations are still not using low code development platforms as they lack knowledge. [5]
  • 5% of the low code application user believe that it is clunky. [5]
  • Only 12% of the organizations use lowcode no code platforms after buying them. [5]
  • 37% of the organizations are concerned about the “lockin” with nocode/low. [5]
  • 32% of organizations don’t believe we could build the types of the app we need. [5]
  • 25% of organizations are concerned about the scalability of the apps created. [5]
  • Asia Pacific Largest Market North America CAGR 12.98 % Market Overview. [6]
  • The Digital Process Automation Market is growing at a CAGR of 12.98% over the next 5 years. [6]
  • In the Duty VAT Billing process, Bizagi worked alongside Oracle, UiPath, and ABBYY, providing digital process automation to enable endto end automation of the process, achieving a 95% automation ratio. [11]
  • Manufacturing & RetailAdidas, the largest sportswear manufacturer in Europe, transformed its supply chain across 400 factories to improve operational efficiency by 60%. [11]
  • Geesinknorba Implemented Smart Manufacturing Increasing Production Efficiency by 45% Get news, papers, media & research, delivered. [11]
  • Yet there has been a consistent undercurrent of reports intimating that companies frequently get stuck after deploying just a few bots, with up to 50% of RPA deployments Why The Disconnect?. [12]

I know you want to use Digital Process Automation (DPA) Software, thus we made this list of best Digital Process Automation (DPA) Software. We also wrote about how to learn Digital Process Automation (DPA) Software and how to install Digital Process Automation (DPA) Software. Recently we wrote how to uninstall Digital Process Automation (DPA) Software for newbie users. Don’t forgot to check latest Digital Process Automation (DPA) statistics of 2024.

Reference

  1. netsuite – https://www.netsuite.com/portal/resource/articles/business-strategy/business-automation-statistics.shtml.
  2. 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.
  3. imaginovation – https://imaginovation.net/blog/business-automation-statistics/.
  4. workona – https://workona.com/pages/workflow-automation-statistics-trends/.
  5. marketwatch – https://www.marketwatch.com/press-release/digital-process-automation-dpa-software-market-in-2024-future-demand-growth-top-key-players-development-status-future-plans-and-opportunity-assessment-for-the-forecast-to-2028-2024-04-19.
  6. quixy – https://quixy.com/blog/no-code-low-code-citizen-development-statistics-facts/.
  7. mordorintelligence – https://www.mordorintelligence.com/industry-reports/digital-process-automation-market.
  8. advsyscon – https://www.advsyscon.com/blog/gartner-it-automation/.
  9. cetrixcloudservices – https://www.cetrixcloudservices.com/blog/7-benefits-realized-through-digital-process-automation.
  10. masterofcode – https://masterofcode.com/blog/overcoming-the-productivity-crisis-with-digital-process-automation.
  11. mckinsey – https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/intelligent-process-automation-the-engine-at-the-core-of-the-next-generation-operating-model.
  12. supplychain247 – https://www.supplychain247.com/article/the_difference_between_business_process_and_digital_process_automation/warehousing.
  13. forbes – https://www.forbes.com/sites/forbestechcouncil/2020/05/15/the-truth-about-why-rpa-fails-to-scale/.

How Useful is Digital Process Automation

One of the primary advantages of DPA is its ability to automate repetitive and time-consuming tasks. By leveraging technologies like artificial intelligence and machine learning, businesses can automate manual processes and free up valuable time for employees to focus on more strategic initiatives. This not only boosts productivity but also reduces the risk of errors and increases operational efficiency.

Another key benefit of DPA is its ability to enhance customer experience. By automating processes such as billing, invoicing, and customer support, businesses can provide customers with quicker, more personalized service. This leads to higher customer satisfaction and loyalty, ultimately driving business growth and profitability.

Moreover, DPA enables organizations to achieve greater agility and adaptability in a rapidly changing marketplace. By automating business processes, businesses can respond more quickly to market trends and customer demands, allowing them to stay ahead of the competition. DPA also facilitates better decision-making by providing real-time insights and analytics, enabling organizations to make data-driven decisions that drive business success.

Furthermore, DPA can help businesses achieve compliance with regulatory requirements and industry standards. By automating processes related to audit trails, data retention, and security, organizations can ensure they adhere to the necessary guidelines and regulations. This not only reduces the risk of fines and penalties but also enhances trust and credibility with customers, partners, and other stakeholders.

Despite its many advantages, DPA is not without its challenges. One of the key concerns with digital process automation is the potential impact on the workforce. As organizations increasingly automate manual tasks, there is a fear that jobs may be displaced or marginalized. However, DPA should be viewed as a tool to augment human capabilities, not replace them. By freeing employees from mundane tasks, DPA allows them to focus on more creative, strategic, and value-added activities.

Another challenge with DPA is the complexity of implementation. Integrating disparate systems, ensuring data integrity and security, and managing change within an organization can be daunting tasks. However, with careful planning, stakeholder buy-in, and proper training, organizations can successfully implement DPA and maximize its benefits.

In conclusion, digital process automation is a powerful tool that can drive significant benefits for businesses. By automating processes, improving efficiency, enhancing customer experience, and ensuring compliance, DPA enables organizations to achieve operational excellence and deliver value to stakeholders. While there are challenges associated with DPA, these can be mitigated through careful planning, strategic implementation, and ongoing monitoring. Overall, the usefulness of digital process automation cannot be understated in today’s digital economy.

In Conclusion

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