Top 11 Must-Know Intelligent Automation Statistics

  • latentbridge
  • Thursday, July 28, 2022, 1 min read

As more and more industry experts have said, automation is becoming an increasingly strategic priority for businesses. Leaders and executives are looking to accelerate growth and improve operations and deliver improved employee engagement, enhanced customer experience and increased profits. 

Here are some key intelligent automation statistics you should know.  

  1. 71% individuals agree that automation is now an increased priority with stronger C-suite sponsorship (Source)
  2. Only 13% are scaling their automation (51+ automations). (Source)
  3. Gartner expects that by 2024, organisations will lower operational costs by 30% by combining hyper automation technologies with redesigned operational processes. (Source)
  4. 80% of technology products and services will be built by those who are not technology professionals. (Source)
  5. 44% percent said automation initiatives within their organisations have failed to provide the expected bottom-line benefits. (Source)
  6. World Economic Forum’s survey indicates that only 23% of SMEs were able to dedicate resources to new digital tools. (Source)
  7. 56 % of all respondents' report AI adoption in at least one function. (Source)
  8. BCG research shows that 70% of digital transformations fall short of their objectives. (Source)
  9. 75% of IT executives cited talent availability as the main adoption risk factor for the majority of IT automation technologies. (Source)
  10. Eighty percent of respondents said they agree that process mining drives better outcomes but only 20% stated currently using it. (Source)
  11. 72% of business decision makers believe that AI will be the business advantage of the future. (Source)

While there are challenges to adoption and scaling of intelligent automation, the benefits outweigh the risks by a vast margin. Enterprises need to understand the cost of failed automation and how to get it right the first time to ensure a successful transformation.  

Tags: Artificial Intelligence, failed automation, intelligent automation, statistics