27 Hyperautomation Statistics To Help Plan Your Future 2024

Hyperautomation Statistics

You’re looking for statistics about hyperautomation, and you’re getting tired of clicking through link after link just to find what you need. Well, we’ve got you covered.

There are a lot of different hyperautomation stats out there, but it’s hard to tell which ones are accurate and which ones are just pie-in-the-sky projections. And even if you do find a stat that seems reliable, it’s likely that it won’t be relevant to your business or industry.

That’s why we’ve curated this list of hyperautomation statistics—to help you stay up-to-date on the latest trends and developments in the industry so that can dive right into what matters most—your business goals and how they can be achieved through automation.

We’re confident that these stats are all useful numbers that will help support whatever point (or points) you’re trying to make about hyperautomation. So take a look at our collection below—and feel free to reach out if there’s something specific we didn’t include here that would help with your research!

Contents show

General Hyperautomation Statistics

1. The global hyperautomation market is expected to reach $596 billion in 2022.

This is the aggregate market size from the markets of all technologies that enable hyperautomation, including artificial intelligence, machine learning, robotic process automation, business process management, and low-code and no-code technologies.

According to the stats, process-agnostic software accounts for $30 billion, while the remaining $566 billion are generated by other software that enables hyperautomation.



2. By 2024, 80% of organizations expect to have hyperautomation on their technology roadmap.

According to the latest survey by Salesforce, 80% of organizations expect to have hyperautomation on their technology roadmaps by 2024. This means that in just a few short years, most businesses will be able to rely on automated solutions to perform tasks that used to require human intervention.

The technology is already being used by many businesses—in fact, it’s already essential for certain industries such as manufacturing and logistics. But as new technologies are developed, and more people become familiar with them, we’ll see more businesses adopting automation in an effort to increase efficiency, reduce costs, and improve customer satisfaction.



3. 85% of executives surveyed say they will either maintain or expand their organization’s investments in hyperautomation over the next 12 months.

If you’re looking to make a play in the hyperautomation market, there’s no better time than right now.

A survey of senior executives found that the majority (85%) of them plan to either keep or expand their organization’s investments in hyperautomation over the next year.

This shows that executives are becoming increasingly aware of how important it is to invest in automation and artificial intelligence. As a result of this increased awareness, more companies are making this kind of investment and seeing a return on it.

(Gartner, IBM)


4. More than half of organizations have deployed four or more concurrent hyperautomation initiatives.

Statistically speaking, it’s not hard to believe that organizations are moving into hyperautomation.

That’s according to a study by Gartner, which found that 56% of organizations have already implemented four or more hyperautomation initiatives. The number of initiatives is expected to increase as the technology becomes more mainstream.

The results show that companies are taking the plunge into hyperautomation, and they aren’t wasting any time. In fact, many companies are already moving forward with multiple initiatives—and that’s not even counting the ones who don’t know exactly what they’re doing yet!

It’s clear that companies are looking at the data and making their plans accordingly. They want to get ahead of the curve so they can take advantage of these new technologies before their competitors do.

(Gartner, IBM)


5. 22.5% of organizations employ robotic process automation (RPA).

The above figure makes RPA the most commonly adopted hyperautomation technology by far. On the other hand, low-code and no-code technologies have an adoption rate of 13%, while intelligent document processing is adopted by 12.7% of companies.

Furthermore, 11.6% of businesses use advanced analytics, 11.1% utilize machine learning, and 10.6% employ workforce engagement technologies. Finally, process modeling and mining has an adoption rate of 9.3%, while intelligent process discovery has the lowest adoption rate at 9.2%.

(Analytics Insight)


6. 28% of manufacturing companies employ hyperautomation.

With that, manufacturing is the industry with the highest hyperautomation adoption. Healthcare is in second place with an adoption rate of 23.2%, while the banking sector is in third place with 15.6%.

Moving on, 9.5% of automotive and assembly and 9.3% of IT and telecommunications organizations have employed hyperautomation in certain areas of their work, while the hyperautomation adoption rate in the life sciences industry is 8%.

Sectors with the lowest adoption rates of hyperautomation are retail with 4.1% and insurance with just 2.3%.

(Analytics Insight)


7. 34.4% of businesses employ hyperautomation to increase productivity.

Productivity is the main driver behind hyperautomation adoption, with more than a third of companies pointing to it as the main reason they employ such technology. Additionally, 21.1% utilize it to achieve greater customer satisfaction, while 13.4% use it to get instant and accurate insights.

12.8% of organizations believe hyperautomation can help them increase ROI, 11.5% employ it to improve collaboration, and only 6.8% use it to achieve greater compliance and reduce risks.

(Analytics Insight)


8. 37% of companies agree that hyperautomation accelerates complex work processes.

While the acceleration of development is the main benefit of hyperautomation, according to the largest portion of organizations, another 18.1% say that it saves them time and money. In addition, for 16.7% of companies, hyperautomation allows better decision-making, while 12.8% say that it allows them to focus on a more strategic work approach.

Finally, 9.1% of businesses say that hyperautomation gives them the ability to deploy other technologies, and 5.9% use it to increase the capacity of their employees.

(Analytics Insight)


9. Lack of skills is the biggest challenge of hyperautomation adoption, according to 31.9% of organizations.

Moreover, for 26.8% of businesses, the most challenging part of adopting hyperautomation is the cost of implementation. Another 16.9% say that the lack of IT readiness is problematic, while 9.3% of companies say they have no executive support to adopt it.

Resistance to change with 7.2%, process fragmentation with 5.2%, and regulatory or security concerns with 2.7% are minor obstacles when it comes to hyperautomation adoption.

(Analytics Insight)


Intelligent Automation Statistics

10. The intelligent process automation market is expected to reach $13.75 billion by 2023.

Intelligent automation is the combination of artificial intelligence and robotic process automation technologies, and its market is expected to boom in 2022.

A recent survey shows that 89% of business leaders believe that investing in intelligent automation will guard them against future disruptions. Moreover, 75% say intelligent automation can enhance the employee experience, while 72% believe it encourages a smart digital environment.

(Pure Software)


11. 12% of organizations already use some form of intelligent process automation.

According to a recent survey, only 8% of companies use no level of automation in their work. More than half, or 52%, have basic process automation, while 27% use advanced process automation, which is halfway between the basic and intelligent levels of automation.



12. 79% of functional leaders support an intelligent automation strategy in their organizations.

Among the most supportive stakeholders, besides functional leaders, are the C-suite, with 76% of the executives supporting an intelligent automation strategy. Furthermore, 75% of both the IT stakeholders and the global process owners support such a strategy.

However, the support decreases among the remaining organization members. Only 65% of managers and team leaders and 49% are supportive. Risk stakeholders are the most unsupportive group, with only 47% of them supporting an intelligent automation strategy.



13. 43% of organizations piloting intelligent automation want to automate their current processes and incorporate some process change.

On the other hand, 19% of companies want to incorporate process change across functional boundaries, in addition to automating their current processes. An equal percentage want to completely reimagine what they are doing and focus on customer-centricity with the help of intelligent automation.

Finally, 12% of businesses are piloting without a strategy in place, and 7% are only automating their current processes without plans for any fundamental changes.



14. On average, 23% of the workers in an organization feel the changes to their tasks and roles because of intelligent automation.

Only 2% of companies say that none of their workers were affected by the implementation of intelligent automation. 41% say that it changed the roles, tasks, or way of working for a certain percentage of their workforces, while 58% haven’t calculated its impact.



15. 86% of companies say they have to retrain their workforce in the next three years because they adopted intelligent automation.

The largest portion of organizations, or 39%, need to retrain between 11% and 40% of their workforce. Additionally, 27% of companies need to retrain less than 10%, while 20% need to retrain more than 41% of their workers.

14% of businesses say they still have no calculations for this matter.



Robotic Process Automation Statistics

16. The global RPA market was worth $1.89 billion in 2021.

The RPA market is expected to grow in the following decade and reach $2.32 billion by the end of 2022. Future projections show that by 2030, the market should grow to $30.85 billion with a CAGR of 38.2%.

North America is the region with the largest share of the market, with 37.2%. The market is dominated by large enterprises that account for a revenue share of over 60%. Most of the services, or 75%, are deployed on-premises.

(Grandview Research)


17. Only 6% of companies don’t have it in their plans to implement RPA.

Even though RPA is the hyper-automation technology that is already most commonly adopted, it is also the technology that most companies are currently implementing. A recent survey shows that 78% of organizations are already working on RPA implementation, while another 16% plan on implementing it in the next three years.

In comparison, just 20% of businesses are currently implementing process mining, 42% plan on implementing it in the following three years, and 38% don’t plan on process mining implementation.



18. Cost savings is the primary value driver of RPA for 46.58% of businesses.

While cost savings is the main driver behind RPA adoption for almost half of the organizations, another 17.81% say their main reason for employing RPA is data accuracy. In addition, 15.07% of companies rely on RPA to empower their workforce, while 13.70% want to achieve greater flexibility with it.

Only 4.11% of businesses say that they adopted RPA to improve their compliance and governance, and just 1,37% look at its creative problem-solving ability as its primary value.

(Acceleration Economy)


19. Resistance to change is one of the biggest RPA adoption barriers faced by 51.67% of organizations.

With an equal percentage, lack of internal resources is another great challenge companies face when adopting RPA technology.

Additionally, 46.67% of businesses have trouble with process fragmentation, while 45% also report a lack of clear vision. The cost for RPA adoption is a barrier for 38.33% of organizations, data readiness is for 36.67%, and finally, 28.33% of companies fear disruption.

(Acceleration Economy)


20. 35% of the companies that employ RPA are from the manufacturing industry.

Besides manufacturing companies, organizations from the technology sector are also heavily reliant on RPA, as 31.67% of the companies that adopted it belong to this category. Furthermore, 10% of the organizations using RPA are from the healthcare sector, 8.33% are from the retail and CPG industry, and 7.5% are in finance.

Finally, public sector organizations account for 5%, while those in education account for 2.5% of the companies employing RPA technology.

(Acceleration Economy)


21. 66% of businesses have already started automating business processes.

According to a recent survey, 35% of organizations are piloting their first business automation, 16% already have one fully automated business process, and 15% have an automation program across multiple parts of their business.

Moreover, 14% have it in their plans to start automating business processes within the next year, and only 16% don’t have any business automation in their plans for the future.



Low-Code Automation Statistics

22. The global low-code automation market was valued at $10.82 billion in 2020.

According to estimations, the market is expected to grow from $13.89 billion in 2021 to 94.75 billion in 2028, with a CAGR of 31.6%. The North American low-code automation market in 2020 was worth $3.69 billion, and with that, it was the largest in the world, with a 34.1% share.

(Fortune Business Insights)


23. 84% of organizations have implemented low-code development technology to partially handle their application development.

However, only 31% of them are using it to build and deliver any of their most valuable applications.

Having said that, most of them agree that low-code technology has a positive impact on their work. For example, 91% say that it promotes agility and innovation, and 89% say it helps them innovate products and services.

Moreover, 85% of them agree that low-code automation can help improve customer service, while according to 84%, it can reduce costs.



24. Data modeling and visualization is the most common use scenario for low-code, with 38% of businesses using it for this purpose.

In addition, 36% of organizations use low-code to automate data gathering and management, while 35% use it to standardize their data security. Another 35% use low-code to automate their existing work processes, 34% to automate their business IoT, and 33% use it to develop their own e-commerce apps.



25. 66% of companies that use low-code, use it to accelerate their digital transformation.

An equal percentage of organizations pointed to increasing the responsiveness to business as the main reason for adopting low-code technology. A considerable portion of the companies, or 45%, also stated that they employed low-code automation to reduce their dependency on technically skilled professionals, who are hard to hire.

In addition, 28% did it to escape legacy debt, 22% turned to low-code to protect themselves from technology churn, and 20% did it to enable citizens to contribute to the improvement of their internal processes.

(Out Systems)


26. 47% of organizations who don’t use low-code, don’t use it because they don’t know enough about it.

Lack of knowledge is the most common reason businesses don’t use low-code automation technology. Additionally, 37% say they haven’t employed it yet because they are concerned about vendor lock-ins.

Furthermore, 32% of companies are not sure that low-code technology will allow them to build the types of apps they want to build, while 28% are concerned about the scalability of low-code apps.

Finally, 25% are concerned with the security of low-code apps.

(Out Systems)


27. 24% of low-code developers started working with 0 programming experience.

Instead, 40% of low-code developers have a business background. Moreover, 70% of them say they learned low-code in less than a month, while 28% even learned it in less than two weeks. In less than three months, 72% of them were already developing low-code apps.




We’ve covered a lot of ground in this article on hyperautomation stats, and it would be impossible to go into all the details in one post. That’s why we encourage you to take some time and dig deeper into each statistic. Use these insights to optimize your automation processes, track progress, and make better decisions moving forward.

By automating routine tasks and functions, you can reduce costs, improve efficiency and ensure that your team is focused on more important things. With so many benefits to hyper-automation, it’s definitely something you need to consider if you want to succeed in business.

Remember that hyper-automation is not a one-time solution; it’s an ongoing process that can help your business become more streamlined and efficient over time. So don’t wait – start implementing hyper-automation today and see the benefits for yourself!

As always, if you have any questions or feedback, please feel free to reach out to us via email or social media. We would love to hear from you!

211 Automation Company Names to Automate Your Marketing

How Does UiPath Make Money? Business Model of UiPath

372 Artificial Intelligence (AI) Company Names

28 Digital Transformation Failure Statistics To Learn From


Leave a Reply

Your email address will not be published. Required fields are marked *