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Is RPA Dead in 2024? Not Until Enterprises Transform Their Apps

Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

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RPA, one of the fastest growing enterprise solutions, itself will not become obsolete, at least in the next few years. RPA installations could need to be replaced if more custom solutions with better error rates become available. However, as RPA installations are replaced, there will be a need to automate other processes for which a domain specific solution may not exist.

Can RPA be replaced by domain/process specific solutions?

Asking if RPA will become obsolete is a bit like asking if Excel will become obsolete. Better, easier-to-use tools can do what Excel can do in almost every use case, however, none of them are as flexible and have as widespread availability as Excel.

This is due to an inherent advantage of flexible tools: They are there to serve end users’ needs before more sophisticated/customized tools are available. Therefore they always end up serving a function. To see this in the case of RPA, we need to look at how automation solutions are developed:

  1. Due to changes in the market or the company, a new process is required. Due to advancements in automation and cognitive computing, it becomes possible to automate processes that were not easy to automate before.
  2. While developers work to build a custom solution for the process, some companies do not wait for the custom solution and implement an RPA solution instead
  3. The custom solution becomes available and it will slowly gain market share.

Since this process is constantly ongoing, there will always be a need for RPA so companies can build quick automation solutions for new problems. However, as this process also demonstrates, you need to be mindful of the running cost of an RPA automation which includes:

  • Cost of errors
  • Effort for manual tasks that remain part of the process
  • Effort for maintenance
  • License fees for the bots

If a new, more customized, cheaper or smarter solution becomes available and if it can offer cost savings compared to the costs of running an RPA automation, then switching to an RPA alternative would make sense.

Can RPA be replaced by easier-to-use solutions?

Definitely. RPA is great for automations involving user interfaces (UI). However, as enterprises move to the cloud and as APIs become ubiquitous, there will be less need to use UI-based automation solutions. For example, for building quick cloud-based integrations IFTT or Zapier provide competent solutions.

As more enterprise work moves to the cloud, we could witness cloud based, no code tools replace the RPA tools of today. So we believe in a future for RPA as long as enterprise work does not move to API first platforms on the cloud.

For more on RPA

Though we believe that there will be a place for RPA in the future, that does not mean that RPA will not evolve. Feel free to read the:

And if you wanna invest in RPA, we have a data-driven list of RPA vendors prepared.

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Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Sources:

AIMultiple.com Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

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