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Robotic Process Auto Tomation (RPA) Leader Mation Tomation Anywhere Inc. (AAI) has become the top public cloud RPA platform with 54% market share according to IDC – which is combined with all other players. This suggests that the company’s main cloud engineering push and marketing partnerships with Google have paid off.

Cloud RPA is the fastest growing sector of the hot RPA market, and AAI’s recent cloud gain suggests that the company has an edge against other RPA leaders, including UIPth and Blue Prism. These results also show that the company is poised to remain competitive even as the micro .ft cloud RPA begins to enter the market.

However, the cloud market is still just a small sliver of the overall RPA market, and other players have the resources to maintain momentum, Maureen Fleming, lead of IDC’s intelligent process automation, told VentureBit. In 2020, the RPA will increase by 37.1% to 1.7 billion. RPA Cloud has a market share of 3.3% and has grown by 38,387.8%.

Strong cloud growth

Fleming points to AAI’s technical overhaul, improved partnerships, and business incentives to run its cloud RPA story.

“When AAI came to the cloud-native RPA architecture, it was not an easy path for customers who were running the enterprise in their data centers and on worker desktops,” Fleming said. Sending a clear signal to customers that cloud architecture is the way forward, they focused on migrating to their new architecture as directly as possible.

As a result, new customers and new customers have adopted the private version of AAI’s Cloud SaaS or AutoTomation of of 0. I.I.C. The model that saw JAAI’s stake not only in adopting public cloud services, but also hosting RPA software on public cloud infrastructure grew in 2020 “with a partnership with GCP – its strong growth in the cloud [Google Cloud Platform] – There are cases where the decision to research has been paid for, “Fleming said.

The cloud-native RPA race is still young

It is too early to say to what extent cloud RPA leadership will translate into overall market leadership.

Both AAI and Blue Prism, aligned with the relief required by industry to support domestic work in the offer fur, saw effective growth during the epidemic. UIPAth also provides an RPA Public Cloud Service (RPA SaaS) and is slowly shifting its platform technologies to become more cloud-native. However, architecturally they are not as portable as AAI, which can be tweaked where Kubernits runs. But UiPath has the resources to provide RPA sas towards the clouds as it sees an opportunity.

All RPA vendors are offering some version of RPA in the cloud. These capabilities gamble from the simple design of running RPA applications on virtual machines all the way to fully refactoring their RPA stack to run on a cloud-based architecture. AAIA, for example, made significant efforts to refactor its RPA stack to run at home on the cloud.

Apion and IBM also have cloud-native RPA capability. Others see this as an evolution where refactoring is done sequentially. Fleming said this could make sense because it takes into account the need for backward compatibility. However, in the long run maintenance and moving forward can be costly.

When reflecting on market conditions, it is important to consider how different sellers recognize revenue. Uipith sells software software subscriptions rather than SaaS, which translates to faster development. If a customer buys a software software subscription and deploys it to public cloud infrastructure, most bookings are recognized as a front-line revenue. As a result, a company like UIPith will grow much more by selling software subscriptions than by selling public cloud services. In contrast, AAI’s approach recognizes SAS’s income in the life of the booking, which softens growth in the early part of the booking cycle but strengthens the later stages of booking related to software software validation.

Follow the cloud-native RPA UI

RPAs at the meta level compete with low-code development in reducing the cost of building automation. But it is also a very complex subject. Fleming said, “One should not assume that low code is easy to learn and adopt by non-professional developers. In fact, the opposite is true. “Business users can use a growing number of RPA features to create mation tomations, and some RPA products are easily accessible by trained professional users. But sophisticated auto tomat capabilities often require trained professional developers.

That said, AAI re-engineered its studio to support line-of-business developers as well as professional developers. UE Path has a separate, narrow studio environment for the business line. Nintendo RPA also has the experience of a business-friendly developer.

Improving the development UI of cloud-native RPAs can play as big a role as better cloud support in RPA leadership. “It’s not the cloud that creates the designation of the‘ line of business ’but the methods implemented to support the acquisition of more studio environments, training, examples, documentation and expertise,” Fleming said.


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