Cloud-Native RPA: Everest Group’s Perspective

Digital transformation has quickly accelerated from a long-term strategy to an immediate business imperative—across every industry. Moving to the cloud is at the heart of enabling this transformation. Business agility and resilience through major events such as a global pandemic, natural disasters, and other crises are the impetus for this urgent move to cloud technologies.

According to Everest Group, a global consulting and research firm focused on strategic IT, business services, engineering services, and sourcing, the market for cloud-based application modernization will grow between 19 to 21% by 2022. Robotic Process Automation (RPA) is no exception to this transformation.

The demand for RPA in the cloud, or RPA-as-a-Service, is also on the rise to align with digital transformation initiatives. What should you look for when evaluating RPA-as-a-Service providers and their technology?

A recent report from Everest Group, “Understanding Cloud-native RPA: Ensuring a future-ready automation strategy,” breaks down the differences in cloud-native RPA versus traditional RPA software and other cloud-based options.

Here are a few takeaways from the report:

Cloud adoption drivers

Everest estimates that 90% of enterprises have adopted some form of cloud services, and 59% of them prefer investing in cloud services based on microservices and containers. At the same time, RPA in the cloud adoption is expected to grow at a compound annual growth rate (CAGR) of up to 55% by 2025.

The cloud is attractive to all sizes of business for various reasons. Some common adoption drivers include:

  • Cost reduction
  • Faster-time to value
  • Flexibility and agility
  • High availability and resiliency
  • Operational efficiency
  • Ability to support remote work

Cloud-native RPA versus other approaches

In comparing traditional on-premises RPA, “cloud-shifted” RPA, and cloud-native RPA, Everest Group found that cloud-native RPA provides significant advantages over other cloud approaches.

Operational benefit: The microservices architecture, a cloud-native hallmark, enables dynamic scalability to support fluctuations in automation needs and workloads. IT resources and infrastructure utilization improve significantly as updates occur automatically and minimal maintenance is required.

Superior product support: In addition to a microservices architecture, cloud-native RPA development typically follows a CI/CD model that enables frequent enhancements and quicker issue resolution.

Business benefits: A cloud-native RPA solution runs more efficiently in the cloud, consuming fewer cloud resources. Whether hosted by the provider’s cloud as a SaaS solution or hosted on your public or private cloud, this enables scaling and maintenance at a lower cost. Business continuity, high availability, and resilience are also strategically important business benefits provided by the stability and flexibility of cloud-native RPA.

Key factors for adopting RPA-as-a-service

In addition to the benefits, Everest recommends a few key areas of review to ensure your organization is ready to make a move to RPA in the cloud. Here is a summary:

  • IT readiness—is your organization ready for cloud adoption?
  • Regulatory considerations—how are industry regulations or specific compliance requirements met or not met through cloud adoption?
  • Impact on your existing RPA investments—how does migration to RPA in the cloud fit your overall automation strategy?
  • Organizational readiness—traditional on-premises RPA usually has one to two major updates a year. Cloud-native RPA is updated on a more frequent, predictable cadence. Is your organization ready to leverage these on-going updates?

For all insights from Everest Group on cloud-native RPA, download “Understanding Cloud-native RPA.”


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