Gartner releases Magic Quadrant for robotic process automation (RPA)
The RPA market is at a pivotal inflection point as emerging AI technology reshapes automation
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Gartner released a new Magic Quadrant for robotic process automation (RPA), evaluating 13 enterprise RPA vendors to help buyers make the best choice for their enterprise’s task automation needs.
RPA continues to be a core software market for improving operational efficiency with tactical automation, the analyst giant stated.
Gartner’s Magic Quadrants are tools that provides a graphical competitive positioning of technology providers to enable investment decisions. They use a uniform set of evaluation criteria to categorize four types of technology providers in any given field: Leaders, Visionaries, Niche Players and Challengers.
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What is RPA?
RPA is a technology that involve the use of software robots (or ‘bots’) to automate repetitive, rule-based tasks within business processes. It has been a common and widely used component of process excellence for several years.
Gartner defines RPA as software that automates tasks within business and IT processes using software scripts that emulate human interaction with the application UI. RPA enables a manual task to be recorded or programmed into a software script, which users can develop through programming or by using the RPA platform’s low-code and no-code GUIs. This script can then be deployed and executed into different runtimes.
The RPA market is at a pivotal point
“The RPA market is at a pivotal inflection point,” wrote Arthur Villa, senior director, analyst at Gartner. “In 2024, the market generated $3.8 billion in revenue representing a healthy 18 percent increase YoY. However, [artificial intelligence] AI innovations have introduced alternatives to traditional deterministic RPA along with the rise of enterprise automation platforms such as business orchestration and automation technologies (BOAT).”
Which RPA vendors feature in Gartner’s Magic Quadrant?
The 13 RPA vendors included in Gartner’s Magic Quadrant are:
- Appian
- Automation Anywhere
- EvoluteIQ
- IBM
- Laiye
- Microsoft
- Pegasystems
- Salesforce
- Samsung SDS
- SAP
- ServiceNow
- SS&C Blue Prism
- UiPath
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Global RPA market expected to be worth $46.66 billion by 2034
The global RPA market is projected to reach a value of $46.66 billion by 2034, growing at a CAGR of 23.13 percent, according to separate data from The Research Insights. The RPA market is being driven by businesses’ need for improved operational efficiency and cost savings.
The combination of AI and machine learning capabilities with digital transformation initiatives is leading to faster market growth for RPA platforms, The Research Insights stated. “RPA systems improve operational performance in financial services, healthcare institutions, retail businesses and manufacturing companies through automation of customer service functions, data management tasks, compliance documentation work and inventory management systems.”
However, the scarcity of experienced professionals who can develop and manage RPA systems stands as a substantial barrier to market expansion, preventing adoption in small businesses and organizations that have not yet matured digitally.
How process intelligence transforms manufacturing & supply chains: 2025 industry report
This industry report examines how and why organizations are investing in process intelligence to enhance manufacturing and supply chain management. “Global manufacturing and supply chains face enormous volatility in 2025,” says Michael Ochi, director at QAD. “Individual organizations feel tremendous pressure but also have new opportunities to grow. Any combination of protective and expansive business strategies requires constant speed and awareness.”
Organizations with significant manufacturing and supply chain operations are turning to process intelligence because it is uniquely capable of providing speed and awareness to any part of the business that leverages software.
Download the report to explore:
- The top five trends shaping process intelligence.
- Case study examples of process intelligence transforming manufacturing and supply chains.
- The key success factors and challenges of process intelligence adoption
